The Youth in Transition Survey (YITS) - Cycle 6

Job Roster


Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.


Variable Name: P1JOBID
Position: 11
Length: 1

Unique job identifier, indicates the position where data in this cycle for this job were collected.

Allowed values: 1 : 7

Table 1
  Response FREQ WTD
1 : 7 Unique job identifier  19,638 N/A
Total  19,638 N/A

Coverage: Respondents who worked at an eligible job between January 2008 and December 2009.
Note: This variable along with the RECORDID variable are used to link jobs between the roster file P1cycle6 with the ModuleP2, Job Details Roster.


Section: Derived Variables

Variable Name: P1UNID
Position: 12
Length: 2

Longitudinal job identifier which permits following a job across cycles.

Table 2
  Response FREQ WTD
11 cycle 1, job 1 0 N/A
12 cycle 1, job 2 0 N/A
13 cycle 1, job 3 0 N/A
14 cycle 1, job 4 0 N/A
15 cycle 1, job 5 0 N/A
16 cycle 1, job 6 0 N/A
17 cycle 1, job 7 0 N/A
21 cycle 2, job 1 240 N/A
22 cycle 2, job 2 128 N/A
23 cycle 2, job 3 51 N/A
24 cycle 2, job 4 0 N/A
25 cycle 2, job 5 3 N/A
26 cycle 2, job 6 0 N/A
27 cycle 2, job 7 0 N/A
31 cycle 3, job 1 176 N/A
32 cycle 3, job 2 243 N/A
33 cycle 3, job 3 157 N/A
34 cycle 3, job 4 61 N/A
35 cycle 3, job 5 20 N/A
36 cycle 3, job 6 4 N/A
37 cycle 3, job 7 0 N/A
41 cycle 4, job 1 441 N/A
42 cycle 4, job 2 705 N/A
43 cycle 4, job 3 361 N/A
44 cycle 4, job 4 170 N/A
45 cycle 4, job 5 63 N/A
46 cycle 4, job 6 16 N/A
47 cycle 4, job 7 4 N/A
51 cycle 5, job 1 1,189 N/A
52 cycle 5, job 2 2,395 N/A
53 cycle 5, job 3 1,343 N/A
54 cycle 5, job 4 623 N/A
55 cycle 5, job 5 220 N/A
56 cycle 5, job 6 86 N/A
57 cycle 5, job 7 22 N/A
61 cycle 6, job 1 2,878 N/A
62 cycle 6, job 2 4,647 N/A
63 cycle 6, job 3 2,231 N/A
64 cycle 6, job 4 771 N/A
65 cycle 6, job 5 254 N/A
66 cycle 6, job 6 106 N/A
67 cycle 6, job 7 30 N/A
Total 19,638 N/A

Coverage: For the Confirmation of Open Jobs from cycle 5 Roster: Respondents who had a job in December 2007. For the Cycle 6 Job Roster: Respondents who had a job between January 2008 and December 2009.


Section: Work-related Questions

Variable Name: P16C26c
Position: 14
Length: 1

Edit to bring class of worker to one variable. If P1_Q26=PdEmployee then P1_C26c=PdEmployee; else if P1_Q26=SelfEmployed then P1_C26c=SelfEmployed; else if P1_Q26=FamilyFarm then P1_C26c=FamilyFarm; else (if P1_Q26=blank and (P1_N25a=PdEmployee then P1_C26c=PdEmployee or P1_N25a=SelfEmployed then P1_C26c=SelfEmployed or P1_N25a=FamilyFarm then P1_C26c=FamilyFarm)) else (if P1_Q26=blank and P1_N25a=blank and (WRTYPE=1 then P1_C26c=PdEmployee or WRTYPE=2 then P1_C26c=SelfEmployed or WRTYPE=3 then P1_C26c=FamilyFarm)).

Table 3
  Response FREQ WTD
1 Paid worker (an employee)  17,958 N/A
2 self-employed worker   1,457 N/A
3 An unpaid worker in your family's farm or business 223 N/A
Total  19,638 N/A

Coverage: Respondents who had a job between January 2008 and December 2009.


Variable Name: P16Q29M
Position: 15
Length: 2

Prior to January 2010, during what month and year did you last work at (employer name)?

Table 4
  Response FREQ WTD
01 January 450 N/A
02 February 448 N/A
03 March 552 N/A
04 April 788 N/A
05 May 741 N/A
06 June 829 N/A
07 July 593 N/A
08 August 1,572 N/A
09 September 842 N/A
10 October 672 N/A
11 November 507 N/A
12 December 11,643 N/A
98 Refused 1 N/A
Total  19,638 N/A

Coverage: Respondents who had a job between January 2008 and December 2009.
Note: Fill table variable name: ^EmpName. Reference period: ^RefPerEng06.


Variable Name: P16Q29Y
Position: 17
Length: 4

What year?

Allowed values: 1990 : 2009

Table 5
  Response FREQ WTD
2008 : 2009 Year  19,638 N/A
Total  19,638 N/A

Coverage: Respondents who had a job between January 2008 and December 2009.


Variable Name: P16Q34
Position: 21
Length: 2

In what province did you work at this job?

Table 6
  Response FREQ WTD
10 Newfoundland 962 N/A
11 Prince Edward Island 807 N/A
12 Nova Scotia 58 N/A
13 New Brunswick 58 N/A
24 Quebec 121 N/A
35 Ontario 73 N/A
46 Manitoba 14 N/A
47 Saskatchewan 0 N/A
48 Alberta 0 N/A
59 British Columbia 10 N/A
60 Yukon 10 N/A
61 Northwest Territories 35 N/A
62 Nunavut 7 N/A
76 U.S.A. 137 N/A
77 Outside Canada and U.S.A. 180 N/A
97 Don't know 5 N/A
98 Refused 1 N/A
99 Not stated 1 N/A
Total 19,638 N/A

Coverage: Respondents who had a job between January 2008 and December 2009.


Variable Name: P16Q35
Position: 23
Length: 2

In what state was this job located?

Table 7
  Response FREQ WTD
01 Alabama 0 N/A
02 Alaska 0 N/A
03 Arizona 4 N/A
04 Arkansas 0 N/A
05 California 34 N/A
06 Colorado 0 N/A
07 Connecticut 0 N/A
08 Delaware 0 N/A
09 District of Columbia 1 N/A
10 Florida 8 N/A
11 Georgia 3 N/A
12 Hawaii 6 N/A
13 Idaho 0 N/A
14 Illinois 6 N/A
15 Indiana 0 N/A
16 Iowa 1 N/A
17 Kansas 0 N/A
18 Kentucky 0 N/A
19 Louisiana 2 N/A
20 Maine 3 N/A
21 Maryland 2 N/A
22 Massachusetts 3 N/A
23 Michigan 4 N/A
24 Minnesota 3 N/A
25 Mississippi 0 N/A
26 Missouri 1 N/A
27 Montana 0 N/A
28 Nebraska 1 N/A
29 Nevada 1 N/A
30 New Hampshire 0 N/A
31 New Jersey 1 N/A
32 New Mexico 0 N/A
33 New York 16 N/A
34 North Carolina 3 N/A
35 North Dakota 0 N/A
36 Ohio 3 N/A
37 Oklahoma 2 N/A
38 Oregon 0 N/A
39 Pennsylvania 4 N/A
40 Rhode Island 0 N/A
41 South Carolina 1 N/A
42 South Dakota 1 N/A
43 Tennessee 1 N/A
44 Texas 10 N/A
45 Utah 0 N/A
46 Vermont 0 N/A
47 Virginia 0 N/A
48 Washington 10 N/A
49 West Virginia 0 N/A
50 Wisconsin 0 N/A
51 Wyoming 0 N/A
96 Valid skip  19,501 N/A
97 Don't know 1 N/A
98 Refused 1 N/A
Total 278 N/A

Coverage: Respondents who had a job between January 2008 and December 2009 in the United States.


Section: Derived Variables

Variable Name: OJOBD6
Position: 25
Length: 2

Derived variable: Chronological order of jobs.

Allowed values: 01 : 07

Table 8
  Response FREQ WTD
01 : 07 Job identifier 19,638 N/A
Total 19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variable: JSTDATD6.

The valid skips indicate jobs whose end date is before January 2008, i.e. jobs that were not worked at in 2008 or 2009.


Variable Name: TENURED6
Position: 27
Length: 4

Derived variable: Total number of months respondent employed at job  (regardless of unpaid leaves).

Allowed values: 0000 : 9993

Table 9
  Response FREQ WTD
0001 : 0360 Total number of months at job  19,623 N/A
9995 Not applicable 0 N/A
9999 Not stated 15 N/A
Total 19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JSTDATD6 and JENDATX6.

Total number of months between time the respondent started working at job and the time respondent last worked at job as of December 2009. Respondent is considered as being employed at job during unpaid leaves from the job.


Variable Name: TNURD6
Position: 31
Length: 2

Derived variable: Total number of months in 2008-2009 respondent employed at job (regardless of unpaid leaves).

Allowed values: 01 : 24

Table 10
  Response FREQ WTD
01 : 24 Number of months at job 19,637 N/A
99 Not stated 1 N/A
Total 19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JSTDATD6 and JENDATX6.


Variable Name: JOBOCCD6
Position: 33
Length: 4

Derived variable:  4 digit occupation code (SOC 1991) for eligible jobs.

Table 11
  Response FREQ WTD
Response: Occupation code (SOC) for job 19,619 N/A
XXXX Unclassified 19 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELFLG, P16Q20, P16Q21, P16Q22, P16Q23, P16Q24.

Response= Minimum A011 and Maximum J319.


Variable Name: JOBOCRD6
Position: 37
Length: 2

Derived variable:  2 digit occupation code (SOC 1991) for eligible jobs.

Table 12
  Response FREQ WTD
01 Management 702 N/A
02 Business, Finance and Administrative 3,193 N/A
03 Natural and Applied Sciences 1,530 N/A
04 Health   1,470 N/A
05 Social Science, Education, Government Service and Religion   2,346 N/A
06 Art, Culture, Recreation and Sport   1,210 N/A
07 Sales and Service   5,375 N/A
08 Trades, Transport and Equipment Operators   2,371 N/A
09 Primary Industry 857 N/A
10 Processing, Manufacturing and Utilities     565 N/A
11 Unclassified      19 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variable: JOBOCCD6.


Variable Name: JOBINDD6
Position: 39
Length: 4

Derived variable:  4 digit industry code (NAICS 1997) for eligible jobs.

Table 13
  Response FREQ WTD
Response: Industry code (NAICS) for job 19,606 N/A
XXXX Unclassified 32 N/A
Total 19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELFLG, P16Q20, P16Q21, P16Q22, P16Q23, P16Q24 and NAICS.


Variable Name: JOBINRD6
Position: 43
Length: 2

Derived variable: 2 digit industry code (NAICS 1997) for eligible jobs.

Table 14
  Response FREQ WTD
01 Agriculture 397 N/A
02 Forestry, Fishing, Oil and Gas extraction 498 N/A
03 Utilities 142 N/A
04 Construction    1,465 N/A
05 Manufacturing 979 N/A
06 Trade 2,820 N/A
07 Transportation, Warehousing   499 N/A
08 Finance, Insurance, Real Estate, Leasing  954 N/A
09 Professional, Scientific and Technical Services   1,457 N/A
10 Management, Administrative, Other Support        968 N/A
11 Education Services      1,950 N/A
12 Health Care, Social Assistance    2,448 N/A
13 Information, Culture, Recreation      1,349 N/A
14 Accommodation, Food Services      1,679 N/A
15 Other Services      961 N/A
16 Public Administration    1,040 N/A
17 Unclassified     32 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variable: JOBINDD6.


Variable Name: JSTDATD6
Position: 45
Length: 6

Derived variable: Start date of the job (year/month).

Allowed values: 198001 : 200912

Table 15
  Response FREQ WTD
198001 : 200912 Job start date  19,638 N/A
Total 19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P16Q27M, P16Q27Y, P1JOBID, and JSTDATD5 (cycle 5).


Variable Name: JBFTPTD6
Position: 51
Length: 1

Derived variable: Full-time/part-time status for respondent who HAD the job in December 2009.

Table 16
  Response FREQ WTD
1 Respondent had a full-time job in December 2009   7,864 N/A
2 Respondent had a part-time job in December 2009   3,169 N/A
3 Unknown full-time/part-time status (when no detail was collected)     210 N/A
5 Not applicable   8,395 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: HWED6 JBST24X6.

Questions on unpaid leaves were not asked in cycle 4, so the derived variable WKFTPTD4 could not be created as we do not know if the respondents were on an unpaid leave in December 2005.  For this new variable, as long as the respondent had the job in December 2009, we took the information on the full-time or part-time status when they last worked at the job, and assign that job that status.


Variable Name: WKST01D6
Position: 52
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 17
  Response FREQ WTD
1 Working at a job in «January» 2008   9,691 N/A
2 Not working at a job in «January» 2008  336 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   9,262 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST02D6
Position: 53
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 18
  Response FREQ WTD
1 Working at a job in «February» 2008    9,765 N/A
2 Not working at a job in «February» 2008 374 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   9,150 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST03D6
Position: 54
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 19
  Response FREQ WTD
1 Working at a job in «March» 2008 9,888 N/A
2 Not working at a job in «March» 2008     394 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable 9,007 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST04D6
Position: 55
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 20
  Response FREQ WTD
1 Working at a job in «April» 2008  10,019 N/A
2 Not working at a job in «April» 2008 403 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable 8,867 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST05D6
Position: 56
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 21
  Response FREQ WTD
1 Working at a job in «May» 2008   10,439 N/A
2 Not working at a job in «May» 2008     432 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   8,418 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST06D6
Position: 57
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 22
  Response FREQ WTD
1 Working at a job in «June» 2008   10,657 N/A
2 Not working at a job in «June» 2008 480 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   8,152 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST07D6
Position: 58
Length: 1

During my first year, I was sure of the type of work I would like to have in the future.

Table 23
  Response FREQ WTD
1 Working at a job in «July» 2008  10,563 N/A
2 Not working at a job in «July» 2008 557 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable    8,169 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST08D6
Position: 59
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 24
  Response FREQ WTD
1 Working at a job in «August» 2008  10,665 N/A
2 Not working at a job in «August» 2008 593 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable 8,031 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST09D6
Position: 60
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 25
  Response FREQ WTD
1 Working at a job in «September» 2008  10,610 N/A
2 Not working at a job in «September» 2008     638 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable 8,041 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST10D6
Position: 61
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 26
  Response FREQ WTD
1 Working at a job in «October» 2008  10,739 N/A
2 Not working at a job in «October» 2008    524 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   8,026 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST11D6
Position: 62
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 27
  Response FREQ WTD
1 Working at a job in «November» 2008   10,702 N/A
2 Not working at a job in «November» 2008  559 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable    8,028 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST12D6
Position: 63
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 28
  Response FREQ WTD
1 Working at a job in «December» 2008   10,647 N/A
2 Not working at a job in «December» 2008  628 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable     8,014 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST13D6
Position: 64
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 29
  Response FREQ WTD
1 Working at a job in «January» 2009   10,596 N/A
2 Not working at a job in «January» 2009 676 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   8,017 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST14D6
Position: 65
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 30
  Response FREQ WTD
1 Working at a job in «February» 2009    10,658 N/A
2 Not working at a job in «February» 2009 632 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable     7,999 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST15D6
Position: 66
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 31
  Response FREQ WTD
1 Working at a job in «March» 2009    10,664 N/A
2 Not working at a job in «March» 2009 652 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   7,973 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST16D6
Position: 67
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 32
  Response FREQ WTD
1 Working at a job in «April» 2009    10,738 N/A
2 Not working at a job in «April» 2009  652 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable     7,899 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST17D6
Position: 68
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 33
  Response FREQ WTD
1 Working at a job in «May» 2009    10,967 N/A
2 Not working at a job in «May» 2009     624 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable     7,698 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST18D6
Position: 69
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 34
  Response FREQ WTD
1 Working at a job in «June» 2009     11,028 N/A
2 Not working at a job in «June» 2009      655 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable      7,606 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST19D6
Position: 70
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 35
  Response FREQ WTD
1 Working at a job in «July» 2009    10,856 N/A
2 Not working at a job in «July» 2009  709 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable   7,724 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST20D6
Position: 71
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 36
  Response FREQ WTD
1 Working at a job in «August» 2009   10,887 N/A
2 Not working at a job in «August» 2009 709 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable 7,693 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST21D6
Position: 72
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 37
  Response FREQ WTD
1 Working at a job in «September» 2009    10,696 N/A
2 Not working at a job in «September» 2009 648 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable    7,945 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST22D6
Position: 73
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 38
  Response FREQ WTD
1 Working at a job in «October» 2009     10,811 N/A
2 Not working at a job in «October» 2009  421 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable      8,057 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST23D6
Position: 74
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 39
  Response FREQ WTD
1 Working at a job in «November» 2009      10,727 N/A
2 Not working at a job in «November» 2009  418 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable       8,144 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKST24D6
Position: 75
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 indicating if respondent was employed and working at the job - for jobs 1 to 7.

Table 40
  Response FREQ WTD
1 Working at a job in «December» 2009     10,618 N/A
2 Not working at a job in «December» 2009 415 N/A
3 Unknown working/non-working status (when no details were collected)     349 N/A
5 Not applicable       8,256 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: P1JOBID, JOBED, JBSTmmX6, P26Q09Y, P26Q09M, P26Q13Y, P26Q13M, P26Q19Y, P26Q19M, P26Q23Y, P26Q23M, P26Q29Y, P26Q29M, P26Q33Y and P26Q33M.

Variable indicates if respondent was employed and working at the job during the month. Variable is created for a maximum of 7 jobs collected in the survey. Note, if respondent was working at the job during the month, he or she was not on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Variable Name: WKFTPTD6
Position: 76
Length: 1

Derived variable:  Full-time/part-time status for respondent who was working at a job in December 2009.

Table 41
  Response FREQ WTD
1 Respondent was working full-time at a job in December 2009.     7,568 N/A
2 Respondent was working part-time at a job in December 2009.    3,050 N/A
5 Not applicable       9,020 N/A
Total  19,638 N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variable HWED6, WKSTmmD6 (mm=24=December 2009 only).

As this variable was derived using WKST24D6, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.

Cohort A - Person Level Main File

Table of contents

Entry
Derived Variables
Move to the United States
High School Status
Derived Variables
Education and Training Above High School
Derived Variables
Funding
Derived Variables
Loans and Aspirations
Derived Variables
Social Support
Derived Variables
Reservation Wage
Derived Variables
Training
Derived Variables
GAPS
Derived Variables
Volunteer Activities
Derived Variables
Skills
Demographics
Derived Variables
Income Derived Variables
Decease6
Weight


Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.


Section: Derived Variables

Variable Name: AGED6
Position: 11
Length: 2

Derived Variable: Respondent's age as of December 2009.

Table 1
  Response FREQ WTD
25 Respondent age 25 11,011 346,247
28 Respondent age 28 0 0
29 Respondent age 29 0 0
30 Respondent age 30 0 0
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.


Variable Name: BYEARD6
Position: 13
Length: 4

Derived Variable: Respondent's year of birth.

Allowed values: 1979 : 1984

Table 2
  Response FREQ WTD
1984 : 1984 Respondent's year of birth 11,011 346,247
9999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.


Variable Name: BMONTHD6
Position:  17
Length: 2

Derived Variable: Respondent's month of birth.

Table 3
  Response FREQ WTD
1 January 851 27,511
2 Febuary 821 25,192
3 March 975 29,402
4 April 957 31,262
5 May 944 28,531
6 June 884 29,530
7 July 935 29,836
8 August 950 28,998
9 September 989 32,076
10 October 929 29,254
11 November 885 27,498
12 December 891 27,157
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.


Variable Name: GENDERD6
Position: 19
Length: 1

Respondent's gender.

Table 4
  Response FREQ WTD
1 Male 5,361 175,896
2 Female 5,650 170,351
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.


Variable Name: PROVD6
Position: 20
Length: 2

Derived variable: Province of residence for the household as of date of interview (2006 Census geography).

Table 5
  Response FREQ WTD
10 Newfoundland and Labrador 605 5,333
11 Prince Edward Island 487 1,486
12 Nova Scotia 1,043 10,618
13 New Brunswick 854 7,945
24 Quebec 1,971 79,531
35 Ontario 1,675 124,420
46 Manitoba 873 11,866
47 Saskatchewan 981 12,093
48 Alberta 1,485 44,679
59 British Columbia 938 45,116
60 Yukon Territory 4 44
61 Northwest Territories 9 107
62 Nunavut 2 15
96 Valid skip 84 2,995
99 Not stated 115 2,234
Total 11,126 348,481

Coverage:  Respondents whose household at the time of interview was in Canada.


Variable Name: URMIZD6
Position: 22
Length: 1

Derived variable: Indicator of rural or urban geography, based on the Statistical Area Classification (SATYPE), based on the 2006 Census geography.

Table 6
  Response FREQ WTD
0 Urban 8,301 282,286
1 Rural 2,608 60,347
6 Valid skip 84 2,995
9 Not stated 133 2,853
Total 11,126 348,481

Coverage:  Respondents whose household at the time of interview was in Canada.


Section: Move to the United States

Variable Name: A6Q01A
Position: 23
Length: 1

Table 7
  Response FREQ WTD
1 Yes 94 2,804
2 No 5 170
6 Valid skip 10,912 343,273
9 Not stated 115 2,234
Total 11,126 348,481

Coverage:  Respondents who lived in the United States in the previous cycle.


Variable Name: A6Q01
Position: 24
Length:  1

At any time in the last two years, that is between January 2008 and December 2009, did you live in the United States? Do not count times when you visited the United States as a tourist.

Table 8
  Response FREQ WTD
1 Yes 89 3,428
2 No 10,826 339,967
6 Valid skip 94 2,804
7 Don't know 1 7
9 Not stated 11 2,276
Total 11,126 348,481

Coverage: All respondents.


Variable Name: A6Q02M
Position: 25
Length: 2

In what month and year did you move to the United States?

Table 9
  Response FREQ WTD
01 January 8 331
02 February 2 37
03 March 2 48
04 April 3 107
05 May 4 49
06 June 13 649
07 July 6 66
08 August 23 962
09 September 22 847
10 October 5 288
11 November 0 0
12 December 1 44
13 Did not move to the U.S.A.; In the U.S.A. only temporarily 0 0
96 Valid skip 10,920 342,771
99 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years.


Variable Name: A6Q02Y
Position: 27
Length: 4

What year?

Allowed values: 1979 : 2009

Table 10
  Response FREQ WTD
2003 : 2009 Year 89 3,428
9996 Valid skip 10,920 342,771
9999 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years.


Variable Name: A6Q03
Position: 31
Length: 2

When you moved to the United States in (month/year), what was your status in Canada? Were you a ...?

Table 11
  Response FREQ WTD
01 Canadian, by birth 79 2,772
02 Canadian, by naturalization (the citizenship process) 10 665
03 landed immigrant in Canada 0 0
04 visa or foreign student in Canada 0 0
05 Other - Specify 0 0
96 Valid skip 10,920 342,771
99 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years.
Note: Fill table variable name: ^A_E02_E_Fill.


Variable Name: A6Q04
Position: 33
Length: 2

Which American state did you move to when you left Canada in (month/year)?

Table 12
  Response FREQ WTD
1 Alabama 0 0
2 Alaska 0 0
3 Arizona 1 24
4 Arkansas 0 0
5 California 15 499
6 Colorado 2 43
7 Connecticut 1 36
8 Delaware 0 0
9 District of Columbia 0 0
10 Florida 5 445
11 Georgia 2 56
12 Hawaii 1 5
13 Idaho 0 0
14 Illinois 3 145
15 Indiana 0 0
16 Iowa 0 0
17 Kansas 0 0
18 Kentucky 0 0
19 Louisiana 1 42
20 Maine 6 139
21 Maryland 1 17
22 Massachusetts 2 106
23 Michigan 3 110
24 Minnesota 3 39
25 Mississippi 0 0
26 Missouri 3 56
27 Montana 0 0
28 Nebraska 1 17
29 Nevada 0 0
30 New Hampshire 1 11
31 New Jersey 2 45
32 New Mexico 0 0
33 New York 14 646
34 North Carolina 4 163
35 North Dakota 0 0
36 Ohio 2 207
37 Oklahoma 0 0
38 Oregon 0 0
39 Pennsylvania 0 0
40 Rhode Island 0 0
41 South Carolina 0 0
42 South Dakota 0 0
43 Tennessee 0 0
44 Texas 7 189
45 Utah 1 25
46 Vermont 1 8
47 Virginia 2 101
48 Washington 5 253
49 West Virginia 0 0
50 Wisconsin 0 0
51 Wyoming 0 0
96 Valid skip 10,920 342,771
99 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years.
Note: Fill table variable name: ^A_E02_E_Fill.


Variable Name: A6Q05
Position: 35
Length: 2

What was your last province or territory of residence before moving to the United States in (month/year)?

Table 13
  Response FREQ WTD
10 Newfoundland 3 38
11 Prince Edward Island 3 7
12 Nova Scotia 7 49
13 New Brunswick 2 23
24 Quebec 8 238
35 Ontario 30 2,265
46 Manitoba 11 160
47 Saskatchewan 8 92
48 Alberta 12 356
59 British Columbia 5 199
60 Yukon 0 0
61 Northwest Territories 0 0
62 Nunavut 0 0
76 U.S.A. 0 0
77 Outside Canada and U.S.A. 0 0
96 Valid skip 10,920 342,771
99 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years.
Note: Fill table variable name: ^A_E02_E_Fill.


Variable Name: A6Q07
Position: 37
Length: 2

Why did you move to the United States? Was it mainly for ...?

Table 14
  Response FREQ WTD
1 work-related reasons 41 1,783
2 schooling or education reasons 33 1,212
3 marriage or a relationship with a significant other 11 312
4 other family-related reasons 2 56
5 Other - Specify 2 65
96 Valid skip 10,920 342,771
99 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years.


Variable Name: A6Q08
Position: 39
Length: 1

When you arrived in the United States in (month/year), did you have a job arranged to start right away?

Table 15
  Response FREQ WTD
1 Yes 39 1,633
2 No 2 150
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.
Note: Fill table variable name: ^A_E02_E_Fill.


Variable Name: A6Q08AA
Position: 40
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....Higher salary(ies)

Table 16
  Response FREQ WTD
1 Yes 13 524
2 No 28 1,259
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08AB
Position: 41
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....Lower taxes in the U.S.A.

Table 17
  Response FREQ WTD
1 Yes 2 20
2 No 39 1,763
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08AE
Position: 42
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....To work for a particular company or organization.

Table 18
  Response FREQ WTD
1 Yes 9 554
2 No 32 1,228
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08AF
Position: 43
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....To be where the action is

Table 19
  Response FREQ WTD
1 Yes 5 174
2 No 36 1,608
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08AH
Position: 44
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....Better career advancement opportunities

Table 20
  Response FREQ WTD
1 Yes 19 982
2 No 22 801
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08AJ
Position: 45
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....Chance to gain or develop skills

Table 21
  Response FREQ WTD
1 Yes 8 437
2 No 33 1,346
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08AK
Position: 46
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....Greater availability of jobs

Table 22
  Response FREQ WTD
1 Yes 4 228
2 No 37 1,555
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08AL
Position: 47
Length: 1

What aspects of the job or other work related factors attracted you to the United States? Please be as specific as possible....Other - Specify

Table 23
  Response FREQ WTD
1 Yes 8 261
2 No 33 1,521
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08T
Position: 48
Length: 1

During the 6 months before you relocated to the United States, did you have any job offers from employers in Canada?

Table 24
  Response FREQ WTD
1 Yes 16 717
2 No 25 1,066
6 Valid skip 10,968 344,416
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for work-related reasons.


Variable Name: A6Q08BA
Position: 49
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....Quality of the research facilities

Table 25
  Response FREQ WTD
1 Yes 2 122
2 No 31 1,090
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q08BB
Position: 50
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....To study with particular colleagues

Table 26
  Response FREQ WTD
1 Yes 3 261
2 No 30 1,521
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q08BC
Position: 51
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....Reputation of the program or institution

Table 27
  Response FREQ WTD
1 Yes 8 188
2 No 25 1,024
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q08BD
Position: 52
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....Availability of program in a particular field

Table 28
  Response FREQ WTD
1 Yes 13 411
2 No 20 801
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q08BE
Position: 53
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....Academic scholarship

Table 29
  Response FREQ WTD
1 Yes 0 0
2 No 33 1,212
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q08BF
Position: 54
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....Athletic scholarship

Table 30
  Response FREQ WTD
1 Yes 2 159
2 No 31 1,053
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q08BG
Position: 55
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....Teaching or research assistantship

Table 31
  Response FREQ WTD
1 Yes 4 32
2 No 29 1,180
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q08BH
Position: 56
Length: 1

What schooling or education related factors attracted you to the United States? Please be as specific as possible....Other - Specify

Table 32
  Response FREQ WTD
1 Yes 10 435
2 No 23 776
6 Valid skip 10,976 344,987
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for schooling or educational reasons.


Variable Name: A6Q09
Position: 57
Length: 1

When you arrived in the United States in (month/year), did you have a job arranged to start right away?

Table 33
  Response FREQ WTD
1 Yes 11 289
2 No 37 1,356
6 Valid skip 10,961 344,554
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years who moved to the United States for reasons other than work-related.
Note: Fill table variable name: ^A_E02_E_Fill.


Variable Name: A6Q10
Position: 58
Length: 1

When you first arrived in the United States in (month/year), what was your status in the United States? Were you ...?

Table 34
  Response FREQ WTD
1 a temporary resident (includes students) 79 3,119
2 a permanent resident or green card holder 3 58
3 an American citizen 4 144
6 Valid skip 10,920 342,771
7 Don't know 2 93
8 Refused 1 14
9 Not stated 117 2,283
Total 11,126 348,481

Coverage: All respondents except those who lived in the United States in the previous cycle, who confirm living in the United States in the past two years.
Note: Fill table variable name: ^A_E02_E_Fill.


Variable Name: A6Q13
Position: 59
Length: 1

What is your current status in the United States? Are you ...?

Table 35
  Response FREQ WTD
1 a temporary resident (includes students) 62 2,242
2 a permanent resident or green card holder 22 612
3 an American citizen 10 443
6 Valid skip 10,909 342,777
7 Don't know 4 82
8 Refused 1 2
9 Not stated 118 2,324
Total 11,126 348,481

Coverage:  Respondents whose current address is the United States.


Variable Name: A6Q14
Position: 60
Length: 1

Do you intend to return to Canada to live?

Table 36
  Response FREQ WTD
1 Yes 63 2,399
2 No 22 626
6 Valid skip 10,909 342,777
7 Don't know 13 338
8 Refused 1 17
9 Not stated 118 2,324
Total 11,126 348,481

Coverage: Respondents whose current address is the United States.


Variable Name: A6Q15
Position: 61
Length: 2

When do you intend to return to Canada to live?

Table 37
  Response FREQ WTD
1 In less than 1 year 24 738
2 1 to 2 years 8 368
3 3 to 5 years 17 683
4 6 to 10 years 4 65
5 More than 10 years 1 81
96 Valid skip 10,931 343,403
97 Don't know 9 463
99 Not stated 132 2,679
Total 11,126 348,481

Coverage: Respondents whose current address is the United States who intend to return to Canada to live.


Variable Name: A6Q16M
Position: 63
Length: 2

In what month and year did you last return from the United States to live in Canada?

Table 38
  Response FREQ WTD
1 January 0 0
2 February 3 148
3 March 1 32
4 April 5 138
5 May 16 652
6 June 4 65
7 July 3 148
8 August 8 320
9 September 7 321
10 October 2 19
11 November 1 26
12 December 13 279
13 Did not return to Canada 18 661
96 Valid skip 10,912 343,005
99 Not stated 133 2,668
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years.


Variable Name: A6Q16Y
Position: 65
Length: 4

What year?

Allowed values: 1979 : 2010

Table 39
  Response FREQ WTD
2005 : 2010 Year 63 2,147
9996 Valid skip 10,930 343,666
9999 Not stated 133 2,668
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years.


Variable Name: A6Q17
Position: 69
Length: 2

Why did you return to Canada? Was it mainly for ...?

Table 40
  Response FREQ WTD
1 work-related reasons 30 1,156
2 schooling or education reasons 8 254
3 marriage or a relationship with a significant    
  other 1 17
4 other family-related reasons 8 206
5 Other - Specify 12 319
96 Valid skip 10,932 343,777
99 Not stated 135 2,752
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years.


Variable Name: A6Q18
Position: 71
Length: 1

When you returned to Canada in (month/year), did you have a job arranged to start right away?

Table 41
  Response FREQ WTD
1 Yes 9 425
2 No 15 466
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons.
Note: Fill table variable name: ^A_E16_E_Fill.


Variable Name: A6Q19
Position: 72
Length: 1

Were you transferred to Canada?

Table 42
  Response FREQ WTD
1 Yes 3 64
2 No 6 361
6 Valid skip 10,976 345,039
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20A
Position: 73
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....Higher salary(ies)

Table 43
  Response FREQ WTD
1 Yes 2 52
2 No 22 838
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20B
Position: 74
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....Lower taxes in Canada

Table 44
  Response FREQ WTD
1 Yes 0 0
2 No 24 891
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20E
Position: 75
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....To work for a particular company or organization

Table 45
  Response FREQ WTD
1 Yes 3 69
2 No 21 822
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20F
Position: 76
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....To be where the action is

Table 46
  Response FREQ WTD
1 Yes 1 18
2 No 23 873
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20H
Position: 77
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....Better career advancement opportunities

Table 47
  Response FREQ WTD
1 Yes 5 220
2 No 19 671
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20J
Position: 78
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....Chance to gain or develop skills

Table 48
  Response FREQ WTD
1 Yes 1 32
2 No 23 859
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20K
Position: 79
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....Greater availability of jobs

Table 49
  Response FREQ WTD
1 Yes 3 50
2 No 21 840
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q20L
Position: 80
Length: 1

What aspects of the job or other work-related factors attracted you to Canada? Please be as specific as possible....Other - Specify

Table 50
  Response FREQ WTD
1 Yes 15 594
2 No 9 297
6 Valid skip 10,961 344,573
9 Not stated 141 3,017
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, who returned to Canada for work-related reasons who had a job arranged to start right away.


Variable Name: A6Q21A
Position: 81
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....Quality of the research facilities

Table 51
  Response FREQ WTD
1 Yes 0 0
2 No 7 194
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q21B
Position: 82
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....To study with particular colleagues

Table 52
  Response FREQ WTD
1 Yes 0 0
2 No 7 194
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage:  Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q21C
Position: 83
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....Reputation of the program or institution

Table 53
  Response FREQ WTD
1 Yes 1 24
2 No 6 170
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q21D
Position: 84
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....Availability of program in a particular field

Table 54
  Response FREQ WTD
1 Yes 2 123
2 No 5 71
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q21E
Position: 85
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....Academic scholarship

Table 55
  Response FREQ WTD
1 Yes 0 0
2 No 7 194
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q21F
Position: 86
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....Athletic scholarship

Table 56
  Response FREQ WTD
1 Yes 0 0
2 No 7 194
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage:  Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q21G
Position: 87
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....Teaching or research assistantship

Table 57
  Response FREQ WTD
1 Yes 0 0
2 No 7 194
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q21H
Position: 88
Length: 1

What schooling or education related factors attracted you to Canada? Please be as specific as possible....Other - Specify

Table 58
  Response FREQ WTD
1 Yes 5 82
2 No 2 112
6 Valid skip 10,977 345,210
9 Not stated 142 3,077
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for schooling or educational reasons.


Variable Name: A6Q22
Position: 89
Length: 1

When you first returned to Canada did you have a job arranged to start right away?

Table 59
  Response FREQ WTD
1 Yes 10 291
2 No 25 770
6 Valid skip 10,956 344,668
9 Not stated 135 2,752
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for reasons other than work-related.


Variable Name: A6Q22A
Position: 90
Length: 1

Were you transferred to Canada?

Table 60
  Response FREQ WTD
1 Yes 1 4
2 No 9 287
6 Valid skip 10,981 345,438
9 Not stated 135 2,752
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years who returned to Canada for reasons other than work-related who had a job arranged to start right away.


Variable Name: A6Q23
Position: 91
Length: 1

When you left the United States in (month/year), what was your status in the United States? Were you ...?

Table 61
  Response FREQ WTD
1 a temporary resident (includes students) 53 1,653
2 a permanent resident or green card holder 1 50
3 an American citizen 2 82
6 Valid skip 10,934 343,908
7 Don't know 1 36
9 Not stated 135 345,438
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, and who have never been an American citizen.
Note: Fill table variable name: ^A_E16_E_Fill.


Variable Name: A6Q24
Position: 92
Length: 1

When you left the United States in (month/year), what was your status in the United States? Were you ...?

Table 62
  Response FREQ WTD
2 a permanent resident or green card holder 0 0
3 an American citizen 2 131
6 Valid skip 10,989 345,599
9 Not stated 135 2,752
Total 11,126 348,481

Coverage: Respondents who in the previous cycle lived in the United States, but whose current address is not the United States; and those whose current address is not the United States who confirm living in the United States in the past two years, and who have EVER been an American citizen.
Note: Fill table variable name: ^A_E16_E_Fill.


Section: High School Status

Variable Name: B6Q05
Position: 93
Length: 2

In what province or country (were you taking/did you last take) high school (or Secondary School Vocational Diploma/junior high or elementary school) courses?

Table 63
  Response FREQ WTD
10 Newfoundland 2 28
11 Prince Edward Island 5 21
12 Nova Scotia 9 107
13 New Brunswick 6 112
24 Quebec 138 7,740
35 Ontario 13 1,258
46 Manitoba 6 176
47 Saskatchewan 13 234
48 Alberta 11 544
59 British Columbia 11 729
60 Yukon 0 0
61 Northwest Territories 0 0
62 Nunavut 0 0
76 U.S.A. 1 44
77 Outside Canada and U.S.A. 0 0
96 Valid skip 10,796 335,254
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009.
Note: B1 (cycle 1) Fill table variable names: ^B_Q05_E_fill_1, ^B_Q05_E_fill_2.


Variable Name: B6Q06
Position: 95
Length: 1

(What is the name of the last school you attended where you took either high school or Secondary School Vocational Diploma courses?/What is the name of the last high school, junior high or elementary school you attended)?

Table 64
  Response FREQ WTD
1 (Specify) school name 205 10,450
2 Respondent was home schooled 1 39
3 Respondent was taking correspondence courses 8 459
6 Valid skip 10,797 335,298
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, except those whose school is outside Canada.
Note: Fill table variable name: ^B_Q06_E_fill.


Variable Name: B6Q32
Position: 96
Length: 2

According to your school, what is/was the normal length of time required to complete your Secondary School Vocational Diploma program when taken full-time?

Table 65
  Response FREQ WTD
1 Less than 3 months 2 101
2 3 to 5 months 3 221
3 6 or 7 months 11 602
4 8 to 12 months 29 1,308
5 13 to 17 months 20 946
6 1 1/2 years up to less than 2 years 21 1,450
7 2 years to less than 3 years 14 695
8 3 years to less than 4 years 5 198
9 4 years to less than 5 years 1 2
10 5 years to less than 6 years 0 0
11 6 years or more 0 0
12 Length varies 0 0
13 Program only offered part-time 1 50
96 Valid skip 10,903 340,652
97 Don't know 1 22
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education who were enrolled in an SSVD program sometime between January 2008 and December 2009.


Variable Name: B6Q33
Position: 98
Length: 2

According to your school, what is/was the normal length of time required to complete your part-time Secondary School Vocational Diploma program?

Table 66
  Response FREQ WTD
1 Less than 3 months 0 0
2 3 to 5 months 0 0
3 6 or 7 months 0 0
4 8 to 12 months 0 0
5 13 to 17 months 0 0
6 1 1/2 years up to less than 2 years 0 0
7 2 years to less than 3 years 0 0
8 3 years to less than 4 years 0 0
9 4 years to less than 5 years 0 0
10 5 years to less than 6 years 0 0
11 6 years or more 0 0
12 Length varies 1 50
96 Valid skip 11,009 346,175
99 Not stated 116 2,256
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education who were enrolled in an SSVD program sometime between January 2008 and December 2009 which was only offered part-time.


Variable Name: B6Q35
Position: 100
Length: 2

In December 2009, what year of your education or training program were you enrolled in?

Allowed values: 01 : 09

Table 67
  Response FREQ WTD
1:04 Year of program 50 2,275
96 Valid skip 10,960 343,955
97 Don't know 1 17
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education who were enrolled in an SSVD program in December 2009.
Note: Reference period: ^RefPerEng04.


Variable Name: B6Q38
Position: 102
Length: 2

What year of your program were you enrolled in when you stopped?

Allowed values: 01 : 09

Table 68
  Response FREQ WTD
1:02 Year of program 9 462
96 Valid skip 11,001 345,727
97 Don't know 1 58
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education who were enrolled in an SSVD program sometime between January 2008 and November 2009 who had not completed the requirements of an SSVD program.


Variable Name: B6Q48
Position: 104
Length: 1

Are you glad or sorry you left?

Table 69
  Response FREQ WTD
1 Glad 6 318
3 Sorry 4 207
4 Mixed feelings 5 272
6 Valid skip 10,996 345,450
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and November 2009, who have not graduated from high school or an SSVD program (some respondents may have graduated from high school but not an SSVD program), who left or dropped out of school at least once.
Note: B26


Variable Name: B6Q53 
Position: 105
Length: 2

What was the main reason you returned to schooling?

Table 70
  Response FREQ WTD
1 Parents / friends talked me into it 0 0
2 Realized value of education 1 93
3 Wanted diploma 4 159
4 Couldn't get a (good) job 5 264
5 Was allowed back 0 0
6 Found better / different school 0 0
7 Other - Specify 5 217
8 Did not return to schooling 0 0
96 Valid skip 10,994 345,450
99 Not stated 117 2,297
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009 who dropped out at least once between January 2008 and December 2009 before graduating. Except those who were in high school, junior high or elementary school between January 2008 and November 2009 who have not graduated from high school or an SSVD program (some respondents may have graduated from high school but not an SSVD program).
Note: B35


Variable Name: B6Q54
Position: 107
Length: 1

Did you return to the same school that you had left?

Table 71
  Response FREQ WTD
1 Yes 9 450
2 No 6 284
6 Valid skip 10,994 345,450
9 Not stated 117 2,297
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009 who dropped out at least once between January 2008 and December 2009 before graduating, who returned to school after they last left school, except those who were in high school, junior high or elementary school between January 2008 and November 2009 who have not graduated from high school or an SSVD program (some respondents may have graduated from high school but not an SSVD program).
Note: B36


Variable Name: B6Q55a
Position: 108
Length: 1

Have you ever attended a junior high or an elementary school?

Table 72
  Response FREQ WTD
1 Yes 6 364
2 No 0 0
6 Valid skip 11,004 345,867
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who have never attended a high school, were home schooled or took distance education.
Note: BE37


Variable Name: B6Q56
Position: 109
Length: 1

Was the last one you attended a private school?

Table 73
  Response FREQ WTD
1 Yes 15 700
2 No 198 10,272
6 Valid skip 10,796 335,254
7 Don't know 1 5
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who have attended a high school or did not know or refused to say if they attended a high school; or those who never attended a high school but have attended a junior high or elementary school.
Note: B38


Variable Name: B6Q58
Position: 110
Length: 2

How long were you at that last school in total?

Table 74
  Response FREQ WTD
1 Less than one year 82 3,771
2 About 1 year 39 1,795
3 About 2 years 30 1,926
4 About 3 years 19 899
5 About 4 years 14 705
6 About 5 years 20 980
7 More than 5 years 8 754
96 Valid skip 10,796 335,254
97 Don't know 2 145
99 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who have attended a high school or did not know or refused to say if they attended a high school; or those who never attended a high school but have attended a junior high or elementary school.
Note: B39


Variable Name: B6Q59
Position: 112
Length: 1

Did you ever repeat a grade in elementary school?

Table 75
  Response FREQ WTD
1 Yes 52 3,105
2 No 162 7,872
6 Valid skip 10,796 335,254
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009.
Note: B40


Variable Name: B6Q60A
Position: 113
Length: 1

Which grade(s)?...Junior kindergarten

Table 76
  Response FREQ WTD
1 Yes 0 0
2 No 50 3,050
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60B
Position: 114
Length: 1

Which grade(s)?...Kindergarten

Table 77
  Response FREQ WTD
1 Yes 0 0
2 No 50 3,050
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60C
Position: 115
Length: 1

Which grade(s)?...Grade 1

Table 78
  Response FREQ WTD
1 Yes 16 906
2 No 34 2,144
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60D
Position: 116
Length: 1

Which grade(s)?...Grade 2

Table 79
  Response FREQ WTD
1 Yes 9 508
2 No 41 2,542
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60E
Position: 117
Length: 1

Which grade(s)?...Grade 3

Table 80
  Response FREQ WTD
1 Yes 7 552
2 No 43 2,498
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60F
Position: 118
Length: 1

Which grade(s)?...Grade 4

Table 81
  Response FREQ WTD
1 Yes 10 724
2 No 40 2,326
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60G
Position: 119
Length: 1

Which grade(s)?...Grade 5

Table 82
  Response FREQ WTD
1 Yes 12 762
2 No 38 2,288
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60H
Position: 120
Length: 1

Which grade(s)?...Grade 6

Table 83
  Response FREQ WTD
1 Yes 3 278
2 No 47 2,772
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60I
Position: 121
Length: 1

Which grade(s)?...Grade 7

Table 84
  Response FREQ WTD
1 Yes 0 0
2 No 50 3,050
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60J
Position: 122
Length: 1

Which grade(s)?...Grade 8

Table 85
  Response FREQ WTD
1 Yes 0 0
2 No 50 3,050
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60K
Position: 123
Length: 1

Which grade(s)?...Grade 9

Table 86
  Response FREQ WTD
1 Yes 0 0
2 No 50 3,050
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Variable Name: B6Q60L
Position: 124
Length: 1

Which grade(s)?...Other - Specify

Table 87
  Response FREQ WTD
1 Yes 0 0
2 No 50 3,050
6 Valid skip 10,958 343,126
7 Don't know 2 55
9 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school education between January 2008 and December 2009, who repeated a grade in elementary school.


Section: Derived Variables

Variable Name: ACMD6
Position: 125
Length: 2

Derived variable: Respondent's age at date completed high school diploma requirements or equivalent.

Allowed values: 00 : 25

Table 88
  Response FREQ WTD
15:25 Age (in years) 10,308 310,817
96 Valid skip 324 18,163
99 Not stated 494 19,502
Total 11,126 348,481

Coverage: Respondents who have completed high school diploma or equivalent.
Note: This variable was derived from the variables: BMONTHD6, BYEARD6, AGED6, HSSTATD6, HSDIPYD6, HSDIPMD6 and ACMD5 (cycle 5).


Variable Name: AFTD6
Position: 127
Length: 2

Derived variable: Respondent's age when last in elementary or secondary school full-time prior to January 2010.

Allowed values: 00 : 25

Table 89
  Response FREQ WTD
14:25 Age (in years) 10,831 339,930
99 Not stated 295 8,551
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: BMONTHD6, BYEARD6, LFTESYD6, LFTESMD6 and AGED6.


Variable Name: AHSD6
Position: 129
Length: 2

Derived variable: Respondent's age when last in elementary or secondary school prior to January 2010.

Allowed values: 00 : 25

Table 90
  Response FREQ WTD
15:25 Age (in years) 10,979 345,044
99 Not stated 147 3,437
Total 11,126 348,481

Coverage: All respondents.
Note:This variable was derived from the variables: BMONTHD6, BYEARD6, LESMTD6, LESYRD6 and AGED6.


Variable Name: DNOD6
Position: 131
Length: 2

Derived variable: Number of times respondent dropped out of elementary or secondary school.

Allowed values: 00 : 93

Table 91
  Response FREQ WTD
0 Never dropped out 10,062 297,057
1:09 Number of times 666 35,913
99 Not stated 398 15,511
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q45, B6Q50, B6Q51, DRPD6, HSSTATD6 and (DNOD5 and DRPD5 from cycle 5).


Variable Name: DRED6
Position: 133
Length: 2

Derived variable: Main reason for having ever dropped out of elementary or secondary school prior to January 2010.

Table 92
  Response FREQ WTD
1 Bored/not interested 129 8,042
2 Problems with school work 44 2,361
3 Problems with teachers 30 1,017
4 Kicked out 29 1,301
5 Missing a few credits/not worth continuing 27 1,703
6 Own health 40 1,925
7 Pregnant/caring for own child 42 2,160
8 Problems at home 27 1,443
9 Had to work/money problems 100 5,494
10 Wanted to work 93 4,552
11 Other-Moved 17 752
12 Other reasons 113 6,336
96 Valid skip 10,062 297,057
99 Not stated 373 14,338
Total 11,126 348,481

Coverage: Respondents who have ever dropped out of school regardless of whether they were a high school continuer, graduate or leaver as of December 2009. For respondents who have dropped out more than once, this variable is the main reason for the last time they have dropped out.
Note: This variable was derived from the variables: DRPD6, (DRPD5, DRED5 from cycle 5), B6Q47 and B6Q52.
Category <11> was created from other specify (B6S47 and B6S52).


Variable Name: DRPD6
Position: 135
Length: 1

Derived variable: Variable indicating if respondent has ever dropped out of elementary or secondary school.

Table 93
  Response FREQ WTD
1 Yes 888 46,554
2 No 10,062 297,057
99 Not stated 176 4,870
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q45, B6Q50, HSSTATD6 and DRPD5 (cycle 5).


Variable Name: FPTLESD6
Position: 136
Length: 1

Derived variable: Full-time/part time status when respondent was last in elementary or secondary school.

Table 94
  Response FREQ WTD
1 Full-time student when last taking elementary or secondary education 10,084 301,241
2 Part-time student when last taking elementary or secondary education 910 44,335
9 Not stated 132 2,905
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q08, B6Q19, LFTESMD6, LFTESYD6, LESMTD6, LESYRD6, FPTLESD5 (cycle 5), PROV (current province of interview) and (PROVHS and SSVDcy5 from the cycle 5 input file).


Variable Name: HG9D6
Position: 137
Length: 1

Derived variable: Variable indicating if respondent has gone past grade 9 in elementary or secondary school as of December 2009.

Table 95
  Response FREQ WTD
1 Yes 10,979 343,134
2 No 31 3,036
9 Not stated 116 2,311
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q13, B6Q22, HSSTATD6, LGED6, HGCD6, COHORT, PROV (current province of interview), (PROVHS and SSVDCY5 from the cycle 5 input file) and HG9D5 (cycle 5).


Variable Name: HGCD6
Position: 138
Length: 2

Derived variable: Highest grade respondent has completed in elementary or secondary school as of December 2009.

Table 96
  Response FREQ WTD
1 Grade 5 or less 2 73
2 Grade 6 4 439
3 Grade 7/Secondary 1 5 500
4 Grade 8/Secondary 2 20 1,267
5 Grade 9/Secondary 3/Senior 1 73 4,224
6 Grade 10/Secondary 4/Senior 2/Level I 323 14,822
7 Grade 11/Secondary 5/Senior 3/Level II 2,750 99,680
8 Grade 12/Senior 4/Level III 6,853 152,874
9 Grade 13 (Ontario Academic Credits - OAC) 848 65,874
11 GED/AESS 73 3,705
12 Other 39 2,056
99 Not stated 136 2,966
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q02a, B6Q02b, B6Q04a, B6Q04b, B6Q05, B6Q12a, B6Q12b, B6Q21a, B6Q21b, COHORT, PROV (current province of interview), HGCD5 (cycle 5) and (PROVHS, SSVDcy5 from the cycle 5 input file).


Variable Name: HSSTATD6
Position: 140
Length: 1

Derived variable: High school status as of December 2009.

Table 97
  Response FREQ WTD
1 High school graduate 10,687 328,085
2 High school continuer 25 1,748
3 High school leaver 299 16,415
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q01b, B6Q02a, B6Q02b, B6Q04a, B6Q04b, B6Q04c, B6Q05a, B6Q16a, B6Q23a, B6Q24Y, B6Q36, B6Q37Y, B6E46a, B6Q46f, COHORT, PROV (current province of interview), (PROVHS, SSVDcy5 from the cycle 5 input file) and HSSTATD5 (cycle 5).


Variable Name: LESMTD6
Position: 141
Length: 2

Derived variable: Date (month) respondent was last in elementary or secondary school prior to January 2010.

Table 98
  Response FREQ WTD
1 January 238 13,285
2 February 82 4,786
3 March 62 3,006
4 April 85 3,979
5 May 164 6,575
6 June 8,104 222,670
7 July 100 5,265
8 August 47 2,375
9 September 65 2,862
10 October 59 3,567
11 November 75 3,566
12 December 1,887 72,585
99 Not stated 158 3,959
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q04a, B6Q04b, B6Q18M, B6Q18Y, B6Q46f, H_LESMX6, H_LESYX6, (LESMTD5, LESYRD5 from cycle 5), PROV (current province of interview) and (PROVHS, SSVDcy5 from the cycle 5 input file).


Variable Name: LESYRD6
Position: 143
Length: 4

Derived variable: Date (year) respondent was last in elementary or secondary school prior to January 2010.

Allowed values: 1982 : 2009

Table 99
  Response FREQ WTD
2000 : 2009 Year last in school 10,979 345,044
9999 Not stated 147 3,437
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q04a, B6Q04b, B6Q18M, B6Q18Y, B6Q46f, H_LESMX6, H_LESYX6, (LESMTD5, LESYRD5 from cycle 5), PROV (current province of interview) and (PROVHS, SSVDcy5 from the cycle 5 input file).


Variable Name: LFTESMD6
Position: 147
Length: 2

Derived variable: Date (month) respondent was last in elementary or secondary school full-time prior to January 2010.

Table 100
  Response FREQ WTD
1 January 256 14,281
2 February 78 4,773
3 March 53 2,069
4 April 74 3,984
5 May 150 6,324
6 June 8,220 229,030
7 July 87 4,632
8 August 31 1,704
9 September 66 3,245
10 October 50 3,404
11 November 55 3,161
12 December 1,704 62,873
99 Not stated 302 9,001
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q02a, B6Q02b, LFTESMX6, LFTESYX6, LESMTD6, LESYRD6, M1BY, M1BM, (LFTESMD5, LFTESYD5 from cycle 5), PROV (current province of interview), and (PROVHS, SSVDcy5 from the cycle 5 input file).


Variable Name: LFTESYD6
Position: 149
Length: 4

Derived variable: Date (year) respondent was last in elementary or secondary school full-time prior to January 2010.

Allowed values: 1982 : 2009

Table 101
  Response FREQ WTD
1998 : 2009 Year last in school full-time 10,831 339,930
9999 Not stated 295 8,551
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: B6Q02a, B6Q02b, LFTESMX6, LFTESYX6, LESMTD6, LESYRD6, M1BY, M1BM, (LFTESMD5, LFTESYD5 from cycle 5), PROV (current province of interview), and (PROVHS and SSVDcy5 from the cycle 5 input file).


Variable Name: LGED6
Position: 153
Length: 2

Derived variable: Grade enrolled in elementary or secondary school as of December 2009 or the date last in school (elementary or secondary).

Table 102
  Response FREQ WTD
1 Grade 5 or less 0 0
2 Grade 6 1 178
3 Grade 7/Secondary 1 5 494
4 Grade 8/Secondary 2 8 677
5 Grade 9/Secondary 3/Senior 1 21 1,987
6 Grade 10/Secondary 4/Senior 2/Level I 52 2,560
7 Grade 11/Secondary 5/Senior 3/Level II 73 3,621
8 Grade 12/Senior 4/ Level III 129 6,570
9 Grade 13 (Ontario Academic Credits - OAC) 3 396
11 GED/AESS 5 184
12 Other 4 213
96 Valid skip 10,702 329,097
99 Not stated 123 2,504
Total 11,126 348,481

Coverage: Respondents who have not completed the minimum requirements for a high school graduation certificate, diploma or its equivalent as of December 2009 or the date last in school. Excludes those last enrolled in an SSVD program in Quebec.
Note: This variable was derived from the variables: B6Q01b, B6Q02a, B6Q02b, B6Q04a, B6Q04b, B6Q04c, B6Q05a, B6Q05, B6Q14a, B6Q14b, B6Q16a, B6Q23a, B6Q24Y, B6Q26d, B6Q26e, HSSTATD6, COHORT, PROV (current province of interview), (PROVHS, SSVDCY5 from the cycle 5 input file) and LGED5 (cycle5).


Variable Name: NUMHSD6
Position: 155
Length: 2

Derived variable: Number of different high schools attended.

Allowed values:  00 : 93

Table 103
  Response FREQ WTD
0 Never attended high school/was home schooled /took distance education 6 364
1:06 Number of high schools 208 10,613
96 Valid skip 10,796 335,254
99 Not stated 116 2,250
Total 11,126 348,481

Coverage: Respondents who have taken any high school, junior high or elementary school sometime between January 2008 and December 2009.
Note: This variable was derived from the variables: B6Q55 and B6S55.


Variable Name: HSDIPMD6
Position: 157
Length: 2

Derived variable: Date (month) respondent completed high school diploma/SSVD requirements or equivalent.

Table 104
  Response FREQ WTD
1 January 229 12,816
2 February 60 3,834
3 March 30 1,374
4 April 44 1,923
5 May 130 4,738
6 June 9,404 266,811
7 July 95 4,627
8 August 40 2,263
9 September 25 1,408
10 October 28 1,644
11 November 48 2,544
12 December 154 5,988
96 Valid skip 324 18,163
99 Not stated 515 20,348
Total 11,126 348,481

Coverage: Respondents who completed their high school diploma, Secondary School Vocational diploma (SSVD) requirements or equivalent.
Note: This variable was derived from the variables: B6Q24Y, B6Q24M, B6Q37Y, B6Q37M, HSSTATD6 and (HSSTATD5, HSDIPYD5, HSDIPMD5 from cycle 5).


Variable Name: HSDIPYD6
Position: 159
Length: 4

Derived variable: Date (year) respondent completed high school diploma/SSVD requirements or equivalent.

Allowed values: 1992 : 2009

Table 105
  Response FREQ WTD
2000 : 2009 Year 10,308 310,817
9996 Valid skip 324 18,163
9999 Not stated 494 19,502
Total 11,126 348,481

Coverage: Respondents who completed their high school diploma, Secondary School Vocational diploma (SSVD) requirements or equivalent.
Note: This variable was derived from the variables: B6Q24Y, B6Q24M, B6Q37Y, B6Q37M, HSSTATD6 and (HSSTATD5, HSDIPYD5, HSDIPMD5 from cycle 5).


Variable Name: SCIPD6
Position: 163
Length: 5.2

Derived variable: Respondent's main field of study or specialization - secondary school vocational diploma program.

Table 106
  Response FREQ WTD
01.03 : 52.19 CIP codes 106 5,517
89.99 Not codeable 2 79
99.96 Valid skip 10,903 340,652
99.99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who took some education in an SSVD program between January 2008 and December 2009.
Note: This variable was derived from the variables: B6Q31 and CIP code.
Respondents who reported a main field of study or specialisation that could not be coded were assigned the code 89.99.


Variable Name: SCIPRD6
Position: 168
Length: 3

Derived variable: Respondent's field of study or specialization - secondary school vocational diploma program (primary grouping).

Table 107
  Response FREQ WTD
1 Personal Improvement and Leisure 0 0
10 Education 0 0
20 Visual and Performing Arts, and Communications Technologies 3 133
30 Humanities 0 0
40 Social and Behavioral Sciences, and Law 1 46
50 Business, Management and Public Administration 22 1,351
60 Physical and Life Sciences, and Technologies 1 40
70 Mathematics, Computer and Information Sciences 2 147
80 Architecture, Engineering and Related Technologies 44 2,211
90 Agriculture, Natural Resources and Conservation 5 209
100 Health, Parks, Recreation and Fitness 11 581
110 Personal, Protective and Transportation Services 17 798
120 Other 2 79
996 Valid skip 10,903 340,652
999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who took some education in an SSVD program between January 2008 and December 2009.
Note: This variable was derived from the variable: SCIPD6.


Section: Education and Training Above High School

Variable Name: H6Q441
Position: 171
Length: 2

What is the main reason you did not participate in a work experience program during the last 2 years?

Table 108
  Response FREQ WTD
1 Not offered at my institution 241 8,403
2 Not offered in my program 1,383 41,916
3 Did not see the value 158 4,314
4 Did not know they existed 23 764
5 Did not qualify (marks too low/missing credits) 51 1,765
6 Only offered to full-time students 8 392
7 Program was full 20 672
8 Not offered in program(s) I was interested in 45 1,939
9 Other - specify 595 21,086
96 Valid skip 8,471 264,646
97 Don't know 13 292
99 Not stated 118 2,290
Total 11,126 348,481

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and who did not participate in a work experience program during that period.


Section: Derived Variables

Variable Name: HGDAD6
Position: 173
Length: 1

Derived variable: Highest graduation diploma attained as of December 2009.

Table 109
  Response FREQ WTD
1 Did not graduate from high school or a post-secondary program 296 16,726
2 Graduation from high school or equivalent 2,941 103,362
3 Graduation from a post-secondary program 7,686 223,153
9 Not stated 203 5,241
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: HSSTATD6 and LPSATD6.
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5.


Variable Name: HLPSD6
Position: 174
Length: 2

Derived variable: Highest level of post-secondary education taken across all programs and institutions as of December 2009.

Table 110
  Response FREQ WTD
2 Attestation of Vocational Specialisation (AVS or ASP) 1 58
3 Private business school or training institute diploma or certificate 307 7,956
4 Registered Apprenticeship program 94 3,534
5 College or CEGEP program 2,455 90,586
6 University transfer program at a college or CEGEP (for credits, university transfer diploma or Associate's Degree) 109 4,432
7 College post-diploma or graduate level program (college diploma or higher needed first) 47 1,637
8 University diploma or certificate BELOW
Bachelor's (undergraduate level)
202 5,475
9 Bachelor's degree 4,720 124,599
10 First professional degree 143 3,838
11 Graduate-level diploma or certificate ABOVE
Bachelor's, BELOW Master's
181 5,758
12 Master's degree 689 19,758
13 Ph.D. degree 129 2,809
20 Diploma, certificate or license from a professional association as in accounting, banking, or insurance 180 4,087
23 Other level of post-secondary 34 1,021
95 Not applicable 0 0
96 Valid skip 1,565 65,568
99 Not stated 270 7,363
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: LPSATD6, LVPRD6 and LVPRD5 (cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.
The universe also includes respondents who may have graduated from this level, may still be in a program, or may have left a program.
The category with the largest value in the range <02-13 and 20> is chosen. Category <23> is not included in this range, that is, if a respondent reported that he/she took 'Other level of post-secondary' program along with one or more other programs from a level of <02-13 and 20>, category <23> is not selected for this variable.


Variable Name: HEDLD6
Position: 176
Length: 1

Derived variable: Highest education level taken as of December 2009.

Table 111
  Response FREQ WTD
1 Education level below high school completion 268 15,493
2 High school graduation 1,297 50,075
3 Some post-secondary education (no certificate) 1,672 54,520
4 Graduated from a post-secondary program 7,686 223,153
9 Not stated 203 5,241
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: LPSATD6, HSSTATD6 and HEDLD5 (cycle 5).
Refers to the highest level of schooling attained by the respondent regardless of whether or not the respondent graduated from this level. Included in category <1> are respondents who attended elementary/high school without completing the requirements for a high school graduation certificate, and those who never attended school.


Variable Name: DLFPSMD6
Position: 177
Length: 2

Derived variable: Date (month) respondent was last taking post-secondary education on a full-time basis ever, prior to January 2010.

Table 112
  Response FREQ WTD
1 January 172 6,199
2 February 117 3,007
3 March 164 5,409
4 April 1,818 57,942
5 May 1,583 40,168
6 June 939 23,735
7 July 149 4,022
8 August 355 12,786
9 September 190 5,646
10 October 215 5,438
11 November 166 4,992
12 December 3,172 96,059
94 Not applicable 0 0
95 Never in post-secondary education on a full-time basis 208 7,591
96 Valid skip 1,565 65,568
99 Not stated 313 9,920
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education full-time prior to January 2010.
Note: This variable was derived from the variables: LPSATD6, DLINMD6, DLINYD6, COHORT and (DLFPSFMD5, DLFPSFYD5 from cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5.
Indicates the date which the respondent was last in post-secondary education ever on a full-time basis prior to January 2010.
Respondents in cycle 1 whose highest level attained was a Secondary School Vocational Diploma (SSVD), or highest level attempted was an SSVD or were a continuer in an SSVD program, will receive a value of "Not applicable" for those who did not attend a post-secondary program since cycle 5. For those who did pursue a post-secondary program since cycle 2, the value will be based on the information collected. As of cycle 2, the data for this type of program should have been dealt with in module B.


Variable Name: DLFPSYD6
Position: 179
Length: 4

Derived variable: Date (year) respondent was last taking post-secondary education on a full-time basis ever, prior to January 2010.

Allowed values: 1992 : 2009

Table 113
  Response FREQ WTD
2000 : 2009 Last year full-time post-secondary 9,040 265,402
9994 Not applicable 0 0
9995 Never in post-secondary education on full-time basis 208 7,591
9996 Valid skip 1,565 65,568
9999 Not stated 313 9,920
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education full-time prior to January 2010.
Note: This variable was derived from the variables: LPSATD6, DLINMD6, DLINYD6, COHORT and (DLFPSFMD5, DLFPSFYD5 from cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5.
Indicates the date which the respondent was last in post-secondary education ever on a full-time basis prior to January 2010.
Respondents in cycle 1 whose highest level attained was a Secondary School Vocational Diploma (SSVD), or highest level attempted was an SSVD or were a continuer in an SSVD program, will receive a value of "Not applicable" for those who did not attend a post-secondary program since cycle 5. For those who did pursue a post-secondary program since cycle 2, the value will be based on the information collected. As of cycle 2, the data for this type of program should have been dealt with in module B.


Variable Name: DLPSMD6
Position: 183
Length: 2

Derived variable: Date (month) respondent was last taking post-secondary education ever, prior to January 2010.

Table 114
  Response FREQ WTD
1 January 144 4,980
2 February 129 3,784
3 March 181 5,017
4 April 1,620 51,153
5 May 1,491 36,726
6 June 950 24,292
7 July 155 4,072
8 August 374 14,433
9 September 187 5,607
10 October 238 5,992
11 November 202 7,212
12 December 3,705 113,989
95 Not applicable 0 0
96 Valid skip 1,565 65,568
99 Not stated 185 5,656
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: DLINMD6, DLINYD6, LPSATD6, C5OPENI and (DLPSMD5, DLPSYD5 from cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5.
Indicates the date a respondent was last taking post-secondary education prior to January 2010, either on a full-time or a part-time basis. For post-secondary graduates, this variable gives the date of graduation.
Respondents in cycle 1 whose highest level attained was a Secondary School Vocational Diploma (SSVD), or highest level attempted was an SSVD or were a continuer in an SSVD program, will receive a value of "Not applicable" for those who did not attend a post-secondary program since cycle 5. For those who did pursue a post-secondary program since cycle 2, the value will be based on the information collected. As of cycle 2, the data for this type of program should have been dealt with in module B.


Variable Name: DLPSYD6
Position: 185
Length: 4

Derived variable: Date (year) respondent was last taking post-secondary education ever, prior to January 2010.

Allowed values: 1992 : 2009

Table 115
  Response FREQ WTD
2001 : 2009 Last year in post-secondary ever 9,382 277,691
9995 Not applicable 0 0
9996 Valid skip 1,565 65,568
9999 Not stated 179 5,222
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: DLINMD6, DLINYD6, LPSATD6, C5OPENI and (DLPSMD5, DLPSYD5 from cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5.
Indicates the date a respondent was last taking post-secondary education prior to January 2010, either on a full-time or a part-time basis. For post-secondary graduates, this variable gives the date of graduation.
Respondents in cycle 1 whose highest level attained was a Secondary School Vocational Diploma (SSVD), or highest level attempted was an SSVD or were a continuer in an SSVD program, will receive a value of "Not applicable" for those who did not attend a post-secondary program since cycle 5. For those who did pursue a post-secondary program since cycle 2, the value will be based on the information collected. As of cycle 2, the data for this type of program should have been dealt with in module B.


Variable Name: NINDID6
Position: 189
Length: 1

Derived variable: Number of post-secondary institutions attended between January 2008 and December 2009.

Allowed values: 0 : 4

Table 116
  Response FREQ WTD
0 Never attended 6,184 197,924
1:04 Number of institutions 4,824 148,198
6 Valid skip 3 126
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who attended at least one post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variables: HSSTATD6, NEPRPID6 and C5OPENI.
May also include respondents who were in high school in December 2009 but had an open post-secondary institution from cycle 5.
Programs were checked for eligibility. To be eligible, a program must be above the high school level, towards a diploma, certificate or degree, take at least three months to complete, and started prior to January 2010. Refers to the number of institutions which were deemed to be eligible. A maximum of four institutions were discussed with the respondent. A value of <6> was assigned to respondents who, in December 2009, were high school continuers (HSSTATD6=2) and did not have an open post-secondary institution from cycle 5 and in cycle 6.


Variable Name: NEPRCD6
Position: 190
Length: 2

Derived variable: Number of eligible post-secondary programs taken between January 2008 and December 2009.

Allowed values: 00 : 09

Table 117
  Response FREQ WTD
1:06 Number of programs 4,824 148,198
96 Valid skip 6,187 198,050
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who attended at least one post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variable: NEPRPID6.
May also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5.
Programs were checked for eligibility. To be eligible, a program must be above the high school level, towards a diploma, certificate or degree, take at least three months to complete, and started prior to January 2010. Refers to the total number of programs taken by the respondent between January 2008 and December 2009.


Variable Name: LPSATD6
Position: 192
Length: 1

Derived variable: Overall post-secondary status as of December 2009.

Table 118
  Response FREQ WTD
1 Graduate, continuer 1,625 47,433
2 Graduate, non-continuer 6,061 175,719
3 Continuer 650 21,444
4 Leaver 1,022 33,076
5 Not applicable 0 0
6 Valid skip 1,565 65,568
9 Not stated 203 5,241
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: HLATTD6, INELIGD6 and (LPSATD5, HLPSD5 from cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.
Category <1> includes respondents who have graduated from a post-secondary program and were attending an additional post-secondary program in December 2009.
Category <2> includes respondents who have graduated from a post-secondary program and were attending an additional post-secondary program, however respondent not sure of his/her status in new program.
Respondents in cycle 1 whose highest level attained was a Secondary School Vocation Diploma (SSVD), or highest level attempted was an SSVD or were a continuer in an SSVD program, will receive a value of "Not applicable" for those who did not attend a post-secondary program since cycle 5. For those who did pursue a post-secondary program since cycle 2, the value will be based on the information collected. As of cycle 2, the data for this type of program should have been dealt with in module B.
Respondents with LPSATD6=9 were assigned December 2007 for their date last taking post-secondary education (DLPSMD6=12 and DLPSYD6=2007). Those respondents who did not report any programs in cycle 6, were not classified as graduate students in cycle 5, and did not indicate if they had graduated or not from cycle 5 programs that were last taken in December 2007.
When asking respondents about their open programs from the previous cycle, some respondents indicated that they had graduated. This information is used to determine their overall postsecondary status.


Variable Name: MHSPSD6
Position: 193
Length: 3

Derived variable: Duration of time, in months, from the date last in elementary/secondary school to the time started first post-secondary program. MHSPSD6 is duration in absolute value. MHSPSFD6 indicates whether duration is negative or positive.

Allowed values: 000 : 993

Table 119
  Response FREQ WTD
000 : 136 Number of months in absolute value 9,399 278,836
995 Not applicable 0 0
996 Valid skip 1,565 65,568
999 Not stated 162 4,077
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: EDTPSMD6, EDTPSYD6, LESMTD6, LESYRD6, B6Q02a, B6Q02b, LPSATD6 and MHSPSD5 (cycle 5).
The variable MHSPSFD6 must be used along with MHSPSD6. A negative value (i.e. MHSPSFD6 = "2") indicates that the respondent started a post-secondary program before the completion of elementary/high school. Likewise, a zero value indicates that the respondent both ended elementary/high school and started post-secondary education in the same month.


Variable Name: MHSPSFD6
Position: 196
Length: 1

Derived variable: Duration of time, in months, from the date last in elementary/secondary school to the time started first post-secondary program. MHSPSFD6 indicates whether duration is negative or positive. MHSPSD6 is duration in absolute value.

Table 120
  Response FREQ WTD
1 Positive value in MHSPSD6 8,874 258,628
2 Negative value in MHSPSD6 525 20,208
5 Not applicable 0 0
6 Valid skip 1,565 65,568
9 Not stated 162 4,077
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the temporary variable: MHSPSX6.
The variable MHSPSFD6 must be used along with MHSPSD6.


Variable Name: AGSPSD6
Position: 197
Length: 2

Derived variable: Respondent's age at start of first post-secondary program.

Allowed values: 00 : 25

Table 121
  Response FREQ WTD
12:25 Age at start of first program 9,427 279,842
95 Not applicable 0 0
96 Valid skip 1,565 65,568
99 Not stated 134 3,071
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: EDTPSMD6, EDTPSYD6, AGED6, BMONTHD6, BYEARD6 and LPSATD6.
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.


Variable Name: FPSPD6
Position: 199
Length: 4

Derived variable: Variable identifying respondent's first post-secondary institution and program attended.

Allowed values: 2101 : 6401

Table 122
  Response FREQ WTD
2101 : 6201 Longitudinal program identifier 9,438 280,248
9995 Not applicable 0 0
9996 Valid skip 1,565 65,568
9999 Not stated 123 2,665
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: DSPRMD6, DSPRYD6, LPSATD6 and FPSPD5 (cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.
Longitudinal identifiers have a slightly different format between cycle 1 and the other cycles. In cycle 1, the first byte represents the institution and the 2nd byte represents the program. In all other cycles, the first byte represents the cycle, the 2nd byte represents the institution and the fourth byte represents the program. Therefore, beginning with cycle 2, the cycle 1 identifiers (i.e., 11, 12, 13, 21, 22, 23, 31, 32, 41) will become four digits long (i.e., 1101, 1102, 1103, 1201, 1202, 1203, 1301, 1302, 1401) respectively.
There may be some respondents with a FPSP identifier in cycle 1 and who have not gone to post-secondary education in cycle 2.


Variable Name: EDTPSMD6
Position: 203
Length: 2

Derived variable: Date (month) respondent first started post-secondary education prior to January 2010.

Table 123
  Response FREQ WTD
1 January 413 16,281
2 February 77 3,263
3 March 59 2,680
4 April 67 1,948
5 May 40 1,614
6 June 53 1,697
7 July 50 1,795
8 August 1,084 36,897
9 September 7,321 206,651
10 October 139 4,106
11 November 66 1,348
12 December 58 1,562
95 Not applicable 0 0
96 Valid skip 1,565 65,568
99 Not stated 134 3,071
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: FPSPD6, DSPRMD6, DSPRYD6, LPSATD6 and (EDTPSMD5, EDTPSYD5 from cycle 5).
Indicates the date a respondent first started post-secondary education, either on a full-time or a part-time basis.


Variable Name: EDTPSYD6
Position: 205
Length: 4

Derived variable: Date (year) respondent first started post-secondary education, prior to January 2010.

Allowed values: 1992 : 2009

Table 124
  Response FREQ WTD
1996 : 2009 Year first started post-secondary 9,427 279,842
9995 Not applicable 0 0
9996 Valid skip 1,565 65,568
9999 Not stated 134 3,071
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education prior to January 2010.
Note: This variable was derived from the variables: FPSPD6, DSPRMD6, DSPRYD6, LPSATD6 and (EDTPSMD5, EDTPSYD5 from cycle 5).
Indicates the date a respondent first started post-secondary education, either on a full-time or a part-time basis.


Variable Name: HEDATD6
Position: 209
Length: 2

Derived variable: Highest certificate, diploma or degree attained as of December 2009.

Table 125
  Response FREQ WTD
0 High school graduation diploma or equivalent 2,938 103,256
2 Attestation of Vocational Specialisation (AVS or ASP) 2 102
3 Private business school or training institute diploma or certificate 409 10,581
4 Registered Apprenticeship program 68 2,661
5 College or CEGEP program 2,492 82,739
6

University transfer program at a college or

CEGEP (for credits, university transfer diploma or Associate's Degree)

71 2,871
7 College post-diploma or graduate level program (college diploma or higher needed first) 41 1,011
8 University diploma or certificate BELOW    
  Bachelor's (undergraduate level) 185 4,773
9 Bachelor's degree 3,683 97,787
10 First professional degree 57 1,504
11

Graduate-level diploma or certificate ABOVE
Bachelor's, BELOW Master's

101 2,898
12 Master's degree 314 8,641
13 Ph.D. degree 18 483
20 Diploma, certificate or license from a 96 2,349
  professional association as in accounting,    
  banking, or insurance    
23 Other level of post-secondary 45 1,287
96 Valid skip 296 16,726
99 Not stated 310 8,811
Total 11,126 348,481

Coverage: Respondents who have graduated from high school or post-secondary prior to January 2010
Note: This variable was derived from the variables: LVPRD6, HGDAD6 and HEDATD5 (cycle 5).
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.
Respondents who have ever attended, but did not graduate from, high school are included in category <96>.


Variable Name: ULPSATD6
Position: 211
Length: 1

Derived variable: University postsecondary status as of December 2009.

Table 126
  Response FREQ WTD
1 Graduate, continuer 922 22,981
2 Graduate, non-continuer 3,290 87,825
3 Continuer 641 20,945
4 Leaver 1,021 22,759
5 Not applicable 0 0
6 Valid skip 5,029 188,849
9 Not stated 223 5,122
Total 11,126 348,481

Coverage: Respondents who ever attended a university by December 2009.
Note: This variable was derived from the variables: CLGPRD6, PSILNGID, INELIGD6, and TYPEID6. From cycle 5: ULPSATD5 and TYPEID5.
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.
Category <1> includes respondents who have graduated from a post-secondary program and were attending an additional post-secondary program in December 2009.
Secondary School Vocational Diploma programs (SSVD) were not considered for this variable. A value of 'Not applicable' is assigned to those who did not attend a post-secondary program.
When asking respondents about their open programs from the previous cycle, some respondents indicated that they had graduated. This information is used to determine their postsecondary status.


Variable Name: CLPSATD6
Position: 212
Length: 1

Derived variable: College postsecondary status as of December 2009.

Table 127
  Response FREQ WTD
1 Graduate, continuer 103 4,341
2 Graduate, non-continuer 2,841 95,596
3 Continuer 258 10,140
4 Leaver 811 30,220
5 Not applicable 0 0
6 Valid skip 6,850 200,594
9 Not stated 263 7,590
Total 11,126 348,481

Coverage: Respondents who ever attended a college by December 2009.
Note: This variable was derived from the variables: CLGPRD6, PSILNGID, INELIGD6, and TYPEID6. From cycle 5: CLPSATD5 and TYPEID5.
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.
Category <1> includes respondents who have graduated from a post-secondary program and were attending an additional post-secondary program in December 2009.
Secondary School Vocational Diploma programs (SSVD) were not considered for this variable. A value of 'Not applicable' is assigned to those who did not attend a post-secondary program.
When asking respondents about their open programs from the previous cycle, some respondents indicated that they had graduated. This information is used to determine their postsecondary status.


Variable Name: OLPSATD6
Position: 213
Length: 1

Derived variable: Other institution postsecondary status as of December 2009.

Table 128
  Response FREQ WTD
1 Graduate, continuer 73 2,064
2 Graduate, non-continuer 1,769 52,022
3 Continuer 280 8,465
4 Leaver 491 14,841
5 Not applicable 0 0
6 Valid skip 8,284 265,128
9 Not stated 229 5,961
Total 11,126 348,481

Coverage: Respondent who ever attended a postsecondary institution other than a university or college by December 2009.
Note: This variable was derived from the variables: CLGPRD6, PSILNGID, INELIGD6, and TYPEID6. From cycle 5: OLPSATD5 and TYPEID5.
The universe may also include respondents who were in high school in December 2009 but had an open post-secondary program from cycle 5 or said they had obtained a high school diploma.
Category <1> includes respondents who have graduated from a post-secondary program and were attending an additional post-secondary program in December 2009.
Secondary School Vocational Diploma programs (SSVD) were not considered for this variable. A value of 'Not applicable' is assigned to those who did not attend a post-secondary program.
When asking respondents about their open programs from the previous cycle, some respondents indicated that they had graduated. This information is used to determine their postsecondary status.


Section: Funding

Variable Name: L6Q01
Position: 214
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you received money from your parents or partner, that you don't have to pay back? Exclude amounts received from RESPs (Registered Education Savings Plan), RRSPs (Registered Retirement Savings Plan), trust funds or savings bonds.

Table 129
  Response FREQ WTD
1 Graduate, continuer 1,630 55,118
2 Graduate, non-continuer 3,178 92,744
6 Continuer 6,187 198,050
7 Leaver 2 9
8 Not applicable 2 35
9 Not stated 127 2,527
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q01A
Position: 215
Length: 6

What was the total amount of money received from your parents or partner during the last two years?

Allowed values: 000001 : 999993

Table 130
  Response FREQ WTD
000100 : 120000 Amount 1,546 52,020
999996 Valid skip 9,365 290,793
999997 Don't know 74 2,851
999998 Refused 10 247
999999 Not stated 131 2,570
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who received money from their parents or partner that they don't have to pay back.


Variable Name: L6Q02
Position: 221
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you received money from people, other than your parents or partner, that you don't have to pay back? Exclude amounts received from RESPs (Registered Education Savings Plan), RRSPs (Registered Retirement Savings Plan), trust funds or savings bonds.

Table 131
  Response FREQ WTD
1 Yes 354 9,185
2 No 4,457 138,709
6 Valid skip 6,187 198,050
8 Refused 1 11
9 Not stated 127 2,527
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q02A
Position: 222
Length: 6

What was the total amount of money received from people other than your parents or partner during the last two years?

Allowed values: 000001 : 999993

Table 132
  Response FREQ WTD
000100 : 140000 Yes 328 8,351
999996 No 10,644 336,758
999997 Valid skip 20 710
999998 Refused 6 124
999999 Not stated 128 2,538
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who received money from people other than their parents or partner that they don't have to pay back.


Variable Name: L6Q03
Position: 228
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you used money earned from jobs since leaving high school?

Table 133
  Response FREQ WTD
1 Yes 3,327 105,580
2 No 1,483 42,218
6 Valid skip 6,187 198,050
7 Don't know 1 95
8 Refused 1 11
9 Not stated 127 2,527
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q03A1
Position: 229
Length: 6

What was the total amount of money earned from jobs since leaving high school that you used during the last two years?

Allowed values: 000001 : 999993

Table 134
  Response FREQ WTD
000001 : 100000 Amount 3,072 97,205
999996 Valid skip 7,670 240,268
999997 Don't know 236 7,952
999998 Refused 17 362
999999 Not stated 131 2,694
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who used money earned from jobs since leaving high school.


Variable Name: L6Q03A
Position: 235
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you used money from your personal savings? (exclude money earned from jobs since leaving high school)

Table 135
  Response FREQ WTD
1 Yes 979 32,385
2 No 3,824 115,313
6 Valid skip 6,187 198,050
7 Don't know 6 134
8 Refused 1 11
9 Not stated 129 2,588
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q03A2
Position: 236
Length: 6

What was the total amount of money from your personal savings that you used during the last two years?

Allowed values: 000001 : 999993

Table 136
  Response FREQ WTD
000001 : 045000 Amount 872 28,659
999996 Valid skip 10,011 313,363
999997 Don't know 93 3,537
999998 Refused 14 189
999999 Not stated 136 2,733
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who used money from personal savings.


Variable Name: L6Q04
Position: 242
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you received money from trust funds, Registered Education Savings Plan (RESPs) or Registered Retirement Savings Plan (RRSPs)?

Table 137
  Response FREQ WTD
1 Yes 274 8,929
2 No 4,527 138,641
6 Valid skip 6,187 198,050
7 Don't know 8 262
8 Refused 1 11
9 Not stated 129 2,588
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q04A
Position: 243
Length: 6

What was the total amount of money received from trust funds, Registered Education Savings (RESPs) or Registered Retirement Savings Plan (RRSPs) during the last two years?

Allowed values: 000001 : 999993

Table 138
  Response FREQ WTD
000010 : 054000 Amount 245 7,948
999996 Valid skip 10,714 336,691
999997 Don't know 24 711
999998 Refused 5 270
999999 Not stated 138 2,861
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who received money from trust funds, RESPs or RRSPs.


Variable Name: L6Q04B
Position: 249
Length: 1

Was any of this from a Registered Education Savings Plan (RESP)?

Table 139
  Response FREQ WTD
1 Yes 167 5,452
2 No 98 3,297
6 Valid skip 10,714 336,691
7 Don't know 8 167
8 Refused 1 13
9 Not stated 138 2,861
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who received money from trust funds, RESPs or RRSPs.


Variable Name: L6Q04C
Position: 250
Length: 6

What was the total amount?

Allowed values: 000001 : 999993

Table 140
  Response FREQ WTD
000001 : 025000 Amount 149 4,581
999996 Valid skip 10,812 339,988
999997 Don't know 16 724
999998 Refused 2 147
999999 Not stated 147 3,041
Total 11,126 348,481

Coverage:


Respondents who took some post-secondary education between January 2008 and December 2009, who received money from RESPs.


Variable Name: L6Q05
Position: 256
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you received money from scholarships, awards or prizes?

Table 141
  Response FREQ WTD
1 Yes 965 24,128
2 No 3,840 123,497
6 Valid skip 6,187 198,050
7 Don't know 3 80
8 Refused 2 139
9 Not stated 129 2,588
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q05A
Position: 257
Length: 6


What was the total amount received from these scholarships, awards or prizes during the last two years?

Allowed values: 000001 : 999993

Table 142
  Response FREQ WTD
000001 : 100000 Amount 954 23,699
999996 Valid skip 10,027 321,547
999997 Don't know 10 385
999998 Refused 1 44
999999 Not stated 134 2,807
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009 and who received money from scholarships, awards or prizes.


Variable Name: L6Q06
Position: 263
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you received money from grants or bursaries?

Table 143
  Response FREQ WTD
1 Yes 1,183 35,807
2 No 3,622 111,577
6 Valid skip 6,187 198,050
7 Don't know 3 322
8 Refused 2 139
9 Not stated 129 2,588
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q06A
Position: 264
Length: 6

What was the total amount received from these grants or bursaries during the last two years?

Allowed values: 000001 : 999993

Table 144
  Response FREQ WTD
000100 : 072500 Amount 1,152 34,870
999996 Valid skip 9,809 309,626
999997 Don't know 29 891
999998 Refused 2 46
999999 Not stated 134 3,048
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009 and who received money from grants or bursaries.


Variable Name: L6Q07
Position: 270
Length: 1

Considering different sources of money for funding your education, between January 2008 and December 2009,

...had you received money from loans to fund your education, including those from government, family or directly from a bank?

Table 145
  Response FREQ WTD
1 Yes 2,223 64,160
2 No 2,583 83,440
6 Valid skip 6,187 198,050
7 Don't know 2 105
8 Refused 2 139
9 Not stated 129 2,588
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q07B
Position: 271
Length: 1

Did you get a government sponsored student loan?

Table 146
  Response FREQ WTD
1 Yes 1,714 49,731
2 No 506 14,324
6 Valid skip 8,770 281,490
7 Don't know 3 105
9 Not stated 133 2,831
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009 and who received money from loans to fund their education, including those from government, family or from a bank in Cycle 6 as of Dec. 31, 2009.


Variable Name: L6Q07C
Position: 272
Length: 1

Other than a student loan, did you get a bank loan, a line of credit or a loan from your parents or family?

Table 147
  Response FREQ WTD
1 Yes 1,048 28,061
2 No 1,174 36,093
6 Valid skip 8,770 281,490
8 Refused 1 6
9 Not stated 133 2,831
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009 and who received money from loans to fund their education, including those from government, family or from a bank in Cycle 6 as of Dec. 31, 2009.


Variable Name: L6Q07B1
Position: 273
Length: 6

(Two years ago, you said you borrowed ($ amount) using the government sponsored student loan program. As of December 31st, 2009, what was the total you had borrowed?/You said you received a government sponsored student loan. As of December 31st, 2009, what was the total you had borrowed?)

Allowed values: 000001 : 999993

Table 148
  Response FREQ WTD
000001 : 145000 Amount 1,682 48,822
999996 Valid skip 9,279 295,919
999997 Don't know 30 885
999998 Refused 2 24
999999 Not stated 133 2,831
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009 and who received government sponsored student loans in Cycle 6 as of Dec. 31, 2009.
Note: Fill table variable name: ^INFO.BORRGOV. Reference period: ^RefPerEng07.


Variable Name: L6Q07B3A
Position: 279
Length: 1

Are you aware of government aid programs such as loan remission, interest relief, debt reduction or revision of terms available for government student loans?

Table 149
  Response FREQ WTD
1 Yes 1,672 44,771
2 No 638 21,367
6 Valid skip 8,691 279,812
7 Don't know 4 121
9 Not stated 121 2,410
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6.


Variable Name: L6Q07B3B
Position: 280
Length: 1

Have you received a loan remission, interest relief, debt reduction or revision of terms on your government student loan between January 2008 and December 2009?

Table 150
  Response FREQ WTD
1 Yes 525 13,024
2 No 1,128 31,445
6 Valid skip 9,329 301,179
7 Don't know 19 302
9 Not stated 125 2,531
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6 and are aware of government aid programs such as loan remission, interest relief, debt reduction or revision of terms programs.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q07B3C
Position: 281
Length: 6

What was the amount of your loan remission, interest relief, debt reduction or revision of terms?

Allowed values: 000001 : 999993

Table 151
  Response FREQ WTD
000001 : 070000 Amount 278 7,209
999996 Valid skip 10,457 332,624
999997 Don't know 246 5,812
999998 Refused 1 3
999999 Not stated 144 2,833
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6, are aware and received a loan remission, interest relief, debt reduction or revision of terms.


Variable Name: L6Q07B4
Position: 287
Length: 1

Between January 2008 and December 2009, did you make payments to repay your government student loan?

Table 152
  Response FREQ WTD
1 Yes 1,233 35,286
2 No 1,079 30,905
6 Valid skip 8,691 279,812
7 Don't know 2 68
9 Not stated 121 2,410
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q07B5
Position: 288
Length: 2

Were payments made monthly, bi-weekly, weekly, or by some other payment schedule?

Table 153
  Response FREQ WTD
1 Monthly 960 25,640
2 Bi-weekly 49 1,314
3 Weekly 12 548
4 Occasionally as able 43 1,508
5 Annually 6 266
6 Quarterly 2 102
7 Other schedule - Specify 161 5,908
96 Valid skip 9,770 310,717
99 Not stated 123 2,478
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6, who have started to repay their loan.


Variable Name: L6Q07B5B
Position: 290
Length: 6

What was the amount of the (monthly / bi-weekly / weekly / quarterly) payment?

Allowed values: 000001 : 200000

Table 154
  Response FREQ WTD
000015 : 040000 Amount 1,010 27,360
999996 Valid skip 9,980 318,398
999997 Don't know 12 237
999998 Refused 1 7
999999 Not stated 123 2,478
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6, who have started to repay their loan according to a monthly, bi-weekly, weekly or quarterly schedule.


Variable Name: L6Q07B5C
Position: 296
Length: 6

What was the total amount paid between January 2008 and December 2009?

Allowed values: 000001 : 200000

Table 155
  Response FREQ WTD
000050 : 055000 Amount 205 7,547
999996 Valid skip 10,799 338,498
999997 Don't know 5 134
999999 Not stated 117 2,302
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6 and who have started to repay their loan according to an occasional or annual schedule (includes those who refused or did not know the method of repayment of their loan).
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q07B5D
Position: 302
Length: 4

In what year do you expect to have your government-sponsored student loans paid off?

Allowed values: 2008 : 2030

Table 156
  Response FREQ WTD
2008 : 2030 Year 1,079 30,481
9996 Valid skip 9,770 310,717
9997 Don't know 151 4,742
9998 Refused 3 64
9999 Not stated 123 2,478
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6 and have started to repay their loan.


Variable Name: L6Q07B5E
Position: 306
Length: 1

Did you receive any assistance from the governments or lenders in making repayment of these student loans?

Table 157
  Response FREQ WTD
1 Yes 118 3,796
2 No 1,112 31,465
6 Valid skip 9,770 310,717
7 Don't know 3 25
9 Not stated 123 2,478
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6, who have started to repay their loan.


Variable Name: L6Q07B5F
Position: 307
Length: 1

Did you receive assistance in the form of interest relief from federal or provincial governments?

Table 158
  Response FREQ WTD
1 Yes 49 1,349
2 No 68 2,415
6 Valid skip 10,882 342,181
7 Don't know 1 33
9 Not stated 126 2,504
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6, who have started to repay their loan and received assistance from governments or lenders in making repayments.


Variable Name: L6Q07B5G
Position: 308
Length: 1

Did you receive assistance in the form of decreased loan payments that you negotiated with your lender?

Table 159
  Response FREQ WTD
1 Yes 19 502
2 No 98 3,283
6 Valid skip 10,882 342,181
7 Don't know 1 11
9 Not stated 126 2,504
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6, who have started to repay their loan and received assistance from governments or lenders in making repayments.


Variable Name: L6Q07B5H
Position: 309
Length: 1

Have you ever defaulted on any of these student loans?

Table 160
  Response FREQ WTD
1 Yes 61 2,079
2 No 1,171 33,123
6 Valid skip 9,770 310,717
7 Don't know 1 85
9 Not stated 123 2,478
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, who borrowed money from a government sponsored student loan to finance their education in one or all of cycle 1 to cycle 6, have started to repay their loan.


Variable Name: L6Q07D1A
Position: 310
Length: 1

Are you aware of government aid programs such as loan remission, interest relief, debt reduction or revision of terms available for government student loans?

Table 161
  Response FREQ WTD
1 Yes 1,037 22,059
2 No 372 10,060
6 Valid skip 9,596 313,912
7 Don't know 1 22
9 Not stated 120 2,428
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009 and who had a government sponsored student loan in one or all of cycle 1 to cycle 5.


Variable Name: L6Q07D1B
Position: 311
Length: 1

Have you received a loan remission, interest relief, debt reduction or revision of terms on your government student loan between January 2008 and December 2009?

Table 162
  Response FREQ WTD
1 Yes 295 5,051
2 No 736 16,881
6 Valid skip 9,968 323,973
7 Don't know 6 126
9 Not stated 121 2,450
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who are aware of government aid programs such as loan remission, interest relief, debt reduction or revision of terms.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q07D1C
Position: 312
Length: 6

What was the amount of your loan remission, interest relief, debt reduction or revision of terms?

Allowed values: 000001 : 999993

Table 163
  Response FREQ WTD
000001 : 024000 Amount 124 1,990
999996 Valid skip 10,704 340,854
999997 Don't know 170 3,036
999998 Refused 1 25
999999 Not stated 127 2,576
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who are aware and received money from a government aid program such as loan remission, interest relief, debt reduction or revision of terms.


Variable Name: L6Q07D1D
Position: 318
Length: 1

Between January 2008 and December 2009, did you make payments to repay your government student loan?

Table 164
  Response FREQ WTD
1 Yes 1,231 27,302
2 No 178 4,826
6 Valid skip 9,596 313,912
8 Refused 1 13
9 Not stated 120 2,428
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009 and who had a government sponsored student loan in one or all of cycle 1 to cycle 5.
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q07D1E
Position: 319
Length: 2

Were payments made monthly, bi-weekly, weekly, or by some other payment schedule?

Table 165
  Response FREQ WTD
1 Monthly 1,007 21,807
2 Bi-weekly 79 1,341
3 Weekly 18 709
4 Occasionally as able 33 1,093
5 Annually 7 131
6 Quarterly 1 22
7 Other schedule - Specify 83 2,056
96 Valid skip 9,774 318,738
97 Don't know 2 135
99 Not stated 122 2,447
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who have started to repay their loan.


Variable Name: L6Q07D1F
Position: 321
Length: 6

What was the amount of the (monthly / bi-weekly / weekly / quarterly) payment?

Allowed values: 000001 : 200000

Table 166
  Response FREQ WTD
000019 : 015000 Amount 1,084 23,204
999996 Valid skip 9,897 322,019
999997 Don't know 20 673
999998 Refused 1 3
999999 Not stated 124 2,582
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who have started to repay their loan according to a monthly, bi-weekly, weekly or quarterly schedule.


Variable Name: L6Q07D1G
Position: 327
Length: 6

What was the total amount paid between January 2008 and December 2009?

Allowed values: 000001 : 200000

Table 167
  Response FREQ WTD
000125 : 040000 Amount 115 3,057
999996 Valid skip 10,885 342,819
999997 Don't know 10 358
999999 Not stated 116 2,246
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who have started to repay their loan according to an occasional or annual schedule (includes those who refused or did not know the method of repayment of their loan).
Note: Reference period: ^RefPerEng01.


Variable Name: L6Q07D1H
Position: 333
Length: 4

In what year do you expect to have your government-sponsored student loans paid off?

Allowed values: 2008 : 2030

Table 168
  Response FREQ WTD
2008 : 2030 Year 1,184 26,852
9996 Valid skip 9,596 313,912
9997 Don't know 220 5,156
9998 Refused 4 113
9999 Not stated 122 2,447
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who have started to repay their loan.


Variable Name: L6Q07D1I
Position: 337
Length: 1

Did you receive any assistance from the governments or lenders in making repayment of these student loans?

Table 169
  Response FREQ WTD
1 Yes 95 2,001
2 No 1,313 30,121
6 Valid skip 9,596 313,912
9 Not stated 122 2,447
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who have started to repay their loan.


Variable Name: L6Q07D1J
Position: 338
Length: 1

Did you receive assistance in the form of interest relief from federal or provincial governments?

Table 170
  Response FREQ WTD
1 Yes 44 882
2 No 50 1,045
6 Valid skip 10,909 344,033
7 Don't know 1 74
9 Not stated 122 2,447
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, have started to repay their loan, who received assistance from governments or lenders in making repayments.


Variable Name: L6Q07D1K
Position: 339
Length: 1

Did you receive assistance in the form of decreased loan payments that you negotiated with your lender?

Table 171
  Response FREQ WTD
1 Yes 17 455
2 No 78 1,546
6 Valid skip 10,909 344,033
9 Not stated 122 2,447
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, have started to repay their loan, who received assistance from governments or lenders in making repayments.


Variable Name: L6Q07D1L
Position: 340
Length: 1

Have you ever defaulted on any of these student loans?

Table 172
  Response FREQ WTD
1 Yes 175 4,415
2 No 1,228 27,671
6 Valid skip 9,596 313,912
7 Don't know 4 33
9 Not stated 123 2,449
Total 11,126 348,481

Coverage: Respondents who did not take any post-secondary education between January 2008 and December 2009, who had a government sponsored student loan in one or all of cycle 1 to cycle 5, who have started to repay their loan.


Variable Name: L6Q08
Position: 341
Length: 1

Between January 2008 and December 2009, had you used money from other sources to fund your education, such as a government program, or other?

Table 173
  Response FREQ WTD
1 Yes 387 8,647
2 No 4,418 139,140
6 Valid skip 6,187 198,050
7 Don't know 3 43
8 Refused 1 11
9 Not stated 130 2,591
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: ^RefPerEng01


Variable Name: L6Q09
Position: 342
Length: 2

During the last two years, from which source did you receive the most money?

Table 174
  Response FREQ WTD
1 Money from parents or partner 109 3,609
2 Money from other people 15 355
3 Money from jobs 380 13,682
4 Money from personal savings 21 507
5 Money from trust funds, RESPs or RRSPs 15 955
6 Money from scholarships, awards or prizes 36 655
7 Money from grants or bursaries 42 742
8 Loans from government, family or directly from a bank 677 16,506
9 Money from other sources 127 2,196
96 Valid skip 9,577 306,484
97 Don't know 9 392
98 Refused 3 164
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009, and had received money from multiple sources to fund their education in Cycle 6 as of Dec. 31, 2009.


Section: Derived Variables

Variable Name: TMOD6
Position: 344
Length: 6

Derived variable: Total amount of money owed to student loans, bank loans, lines of credit, parents or family as of December 2009, to fund post-secondary education.

Allowed values: 000000 : 999993

Table 175
  Response FREQ WTD
000000 : 183000 Total amount owed by respondent 3,992 105,613
999996 Valid skip 6,910 237,626
999999 Not stated 224 5,243
Total 11,126 348,481

Coverage: Respondents who received a loan from the government, a bank, a line of credit or from parents or family as of December 2009 in order to fund their post-secondary education.
Note: This variable was derived from the variables: L6Q07B2, L6Q07E, L6Q07D1, L6Q07D2 and PEF.


Variable Name: TMRD6
Position: 350
Length: 6

Derived variable: Total amount of money received from scholarships, awards, prizes, grants or bursaries between January 2008 and December 2009, to fund post-secondary education.

Allowed values: 000001 : 999993

Table 176
  Response FREQ WTD
000002 : 105000 Total dollar amount received 1,768 49,284
999996 Valid skip 9,186 295,009
999999 Not stated 172 4,188
Total 11,126 348,481

Coverage: Respondents who received a scholarship, award, prize, grant or bursary between January 2008 and December 2009 in order to fund their post-secondary education.
Note: This variable was derived from the variables: L6Q05A, L6Q06A and PEF.


Variable Name: OWEGOVD6
Position: 356
Length: 6

Derived variable: Total amount of money owed to government sponsored student loans as of December 2009, to fund post-secondary education.

Allowed values: 000000 : 999993

Table 177
  Response FREQ WTD
000000 : 095000 Total amount owed to government 3,632 96,047
999996 Valid skip 7,276 247,476
999999 Not stated 218 4,958
Total 11,126 348,481

Coverage: Respondents who received a loan from the government as of December 2009 in order to fund their post-secondary education.
Note: This variable was derived from the variables: L6Q07B2 and L6Q07D1.


Variable Name: OWEOTHD6
Position: 362
Length: 6

Derived variable: Total amount of money owed to bank loans, lines of credit, parents or family as of December 2009, to fund post-secondary education.

Table 178
  Response FREQ WTD
000000 : 150000 Total other amount owed by respondent 750 17,239
999996 Valid skip 10,253 328,711
999999 Not stated 123 2,531
Total 11,126 348,481

Coverage: Respondents who received a loan from a bank, a line of credit or from parents or family as of December 2009 in order to fund their post-secondary education.
Note: This variable was derived from the variables: L6Q07E and L6Q07D2.


Variable Name: AWARGAD6
Position: 368
Length: 1

Derived variable: Respondent's awareness of government aid programs such as loan remission, interest relief, debt reduction or revision of terms available for government student loans.

Table 179
  Response FREQ WTD
1 Yes 2,709 66,830
2 No 1,010 31,427
6 Valid skip 7,276 247,476
9 Not stated 131 2,747
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle.
Note: This variable was derived from the variables: L6Q07B3A and L6Q07D1A.


Variable Name: RECAIDD6
Position: 369
Length: 1

Derived variable: Respondents who received a loan remission, interest relief, debt reduction or revision of terms on their government student loan between January 2008 and December 2009.

Table 180
  Response FREQ WTD
1 Yes 820 18,075
2 No 1,864 48,327
6 Valid skip 8,286 278,904
9 Not stated 156 3,176
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who are aware of government aid programs such as loan remission, interest relief, debt reduction or revision of terms programs.
Note: This variable was derived from the variables: L6Q07B3B and L6Q07D1B.


Variable Name: AMOAIDD6
Position: 370
Length: 6

Derived variable: Amount of the loan remission, interest relief, debt reduction or revision of terms received between January 2008 and December 2009.

Allowed values: 000001 : 999993

Table 181
  Response FREQ WTD
000001 : 070000 Amount received from gov't aid programs 402 9,199
999996 Valid skip 10,150 327,231
999999 Not stated 574 12,052
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who are aware and received a loan remission, interest relief, debt reduction or revision of terms.
Note: This variable was derived from the variables: L6Q07B3C and L6Q07D1C.


Variable Name: PAYGSLD6
Position: 376
Length: 1

Derived variable: Respondents who made payments to repay their government student loan between January 2008 and December 2009.

Table 182
  Response FREQ WTD
1 Yes 2,464 62,588
2 No 1,257 35,731
6 Valid skip 7,276 247,476
9 Not stated 129 2,685
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle.
Note: This variable was derived from the variables: L6Q07B4 and L6Q07D1D.


Variable Name: SCHPAYD6
Position: 377
Length: 2

Derived variable: Payment schedule of respondents who have started to repay their government student loan between January 2008 and December 2009.

Table 183
  Response FREQ WTD
1 Monthly 1,967 47,448
2 Bi-weekly 128 2,656
3 Weekly 30 1,257
4 Occasionally as able 76 2,601
5 Annually 13 397
6 Quarterly 3 124
7 Other schedule 244 7,964
96 Valid skip 8,533 283,208
99 Not stated 132 2,827
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan.
Note: This variable was derived from the variables: L6Q07B5 and L6Q07D1E.


Variable Name: AMBWQD6
Position: 379
Length: 6

Derived variable: Amount of the monthly, bi-weekly, weekly or quarterly payment for respondents who have started to repay their government student loan between January 2008 and December 2009.

Allowed values: 000001 : 999993

Table 184
  Response FREQ WTD
000015 : 040000 Payment towards gov't student loans 2,094 50,564
999996 Valid skip 8,866 294,170
999999 Not stated 166 3,747
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan according to a monthly, bi-weekly, weekly or quarterly schedule.
Note: This variable was derived from the variables: L6Q07B5B and L6Q07D1F.


Variable Name: AOTHERD6
Position: 385
Length: 6

Derived variable: Amount of the occasional, annual or other schedule, for respondents who have started to repay their government student loan between January 2008 and December 2009.

Allowed values: 000001 : 999993

Table 185
  Response FREQ WTD
000050 : 055000 Payment towards gov't student loan 320 10,605
999996 Valid skip 10,673 335,069
999999 Not stated 133 2,807
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan according to an occasional or annual schedule (includes those who refused or did not know the method of repayment of their loan).
Note: This variable was derived from the variables: L6Q07B5C and L6Q07D1G.


Variable Name: PAYOFFD6
Position: 391
Length: 4

Derived variable: Year respondent expects to have the government-sponsored student loans paid off.

Allowed values: 2008 : 2030

Table 186
  Response FREQ WTD
2008 : 2030 Expected year of total reimbursement 2,263 57,333
9996 Valid skip 8,355 278,382
9999 Not stated 508 12,766
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan.
Note: This variable was derived from the variables: L6Q07B5D and L6Q07D1H.


Variable Name: GOVASSD6
Position: 395
Length: 1

Derived variable: Respondents who received any assistance from governments or lenders in making repayment of government sponsored student loans.

Table 187
  Response FREQ WTD
1 Yes 213 5,797
2 No 2,425 61,586
6 Valid skip 8,355 278,382
9 Not stated 133 2,717
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan.
Note: This variable was derived from the variables: L6Q07B5E and L6Q07D1I.


Variable Name: AINRED6
Position: 396
Length: 1

Derived variable: Respondents who received assistance in the form of interest relief from federal or provincial governments.

Table 188
  Response FREQ WTD
1 Yes 93 2,231
2 No 118 3,460
6 Valid skip 10,780 339,967
9 Not stated 135 2,823
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan and received assistance from governments or lenders in making repayments.
Note: This variable was derived from the variables: L6Q07B5F and L6Q07D1J.


Variable Name: DECLOAD6
Position: 397
Length: 1

Derived variable: Respondents who received assistance in the form of decreased loan payments that were negotiated with the lender.

Table 189
  Response FREQ WTD
1 Yes 36 957
2 No 176 4,829
6 Valid skip 10,780 339,967
9 Not stated 134 2,728
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan and received assistance from governments or lenders in making repayments.
Note: This variable was derived from the variables: L6Q07B5G and L6Q07D1K.


Variable Name: DEFAULD6
Position: 398
Length: 1

Derived variable: Respondents who have ever defaulted on any of their student loans.

Table 190
  Response FREQ WTD
1 Yes 236 6,494
2 No 2,399 60,794
6 Valid skip 8,355 278,382
9 Not stated 136 2,812
Total 11,126 348,481

Coverage: Respondents who received money from a government sponsored student loan in the current cycle and those who owed on government sponsored student loans at the end of the previous cycle, who have started to repay their loan.
Note: This variable was derived from the variables: L6Q07B5H and L6Q07D1L.


Section: Loans and Aspirations

Variable Name: M6Q01
Position: 399
Length: 1

Between January 2008 and December 2009, have you applied for a government sponsored student loan to fund your education?

Table 191
  Response FREQ WTD
1 Yes 1,437 42,689
2 No 9,543 302,865
7 Don't know 5 196
8 Refused 1 11
9 Not stated 140 2,720
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^REfPErEng01.


Variable Name: M6Q02
Position: 400
Length: 2

What is the main reason you have not applied for a government sponsored student loan?

Table 192
  Response FREQ WTD
1 Did not need one 4,098 131,763
2 Not going to college/university 4,120 125,693
3 Think would not qualify/parents, respondent income too high 415 13,585
4 Don't know how to apply 48 1,899
5 Loans not available for program/institution of interest 23 732
6 Don't meet residency requirements 26 979
7 Not willing to borrow/go into debt 239 8,833
8 Not able to borrow enough 22 813
9 Prefer to borrow elsewhere 63 1,439
10 Other - Specify 479 16,818
96 Valid skip 1,437 42,689
97 Don't know 10 310
99 Not stated 146 2,927
Total 11,126 348,481

Coverage: Respondents who did not apply for a government sponsored student loan between January 2008 and December 2009.


Variable Name: M6Q03
Position: 402
Length: 1

Do you know where to get information about the government student loan program?

Table 193
  Response FREQ WTD
1 Yes 7,902 243,568
2 No 1,632 59,021
6 Valid skip 1,437 42,689
7 Don't know 13 424
8 Refused 1 11
9 Not stated 141 2,767
Total 11,126 348,481

Coverage: Respondents who did not apply for a government sponsored student loan between January 2008 and December 2009.


Variable Name: M6Q04
Position: 403
Length: 1

Were any of your student loan applications approved between January 2008 and December 2009?

Table 194
  Response FREQ WTD
1 Yes 1,313 38,495
2 No 122 4,075
6 Valid skip 9,548 303,024
7 Don't know 2 120
9 Not stated 141 2,767
Total 11,126 348,481

Coverage: Respondents who applied for a government sponsored student loan between January 2008 and December 2009.
Note: Reference period: ^REfPErEng01.


Variable Name: M6Q05
Position: 404
Length: 2

Why was your application for a government student loan turned down?

Table 195
  Response FREQ WTD
1 Parents income too high 15 744
2 Respondent income too high 54 1,848
3 Did not meet residency requirements 3 14
4 Loans not available for program/institution of interest 3 126
5 Waiting for decision on approval 6 132
6 Other - Specify 37 1,114
96 Valid skip 10,861 341,519
97 Don't know 4 96
99 Not stated 143 2,887
Total 11,126 348,481

Coverage: Respondents who applied for a government sponsored student loan between January 2008 and December 2009 but were turned down.


Variable Name:  M6Q06
Position: 406
Length: 1

Did being turned down prevent you from attending the school you wanted to attend?

Table 196
  Response FREQ WTD
1 Yes 17 810
2 No 99 3,132
6 Valid skip 10,867 341,651
9 Not stated 143 2,887
Total 11,126 348,481

Coverage: Respondents who applied for a government sponsored student loan between January 2008 and December 2009 but were turned down, excludes those who are waiting for decision on approval.


Variable Name:M6Q07
Position: 407
Length: 1

Were the loans that you received between January 2008 and December 2009 as large as you would have liked?

Table 197
  Response FREQ WTD
1 Yes 838 24,584
2 No 473 13,893
6 Valid skip 9,670 307,099
7 Don't know 2 18
9 Not stated 143 2,887
Total 11,126 348,481

Coverage: Respondents who applied for a government sponsored student loan between January 2008 and December 2009, for whom a student loan application was approved between January 2008 and December 2009.
Note: Reference period: ^REfPErEng01.


Variable Name: M6Q07A
Position: 408
Length: 1

Were the loans that you received between January 2008 and December 2009 sufficient to meet your needs/expenses?

Table 198
  Response FREQ WTD
1 Yes 63 1,639
2 No 411 12,245
6 Valid skip 10,508 331,683
7 Don't know 1 27
9 Not stated 143 2,887
Total 11,126 348,481

Coverage: Respondents who applied for a government sponsored student loan between January 2008 and December 2009, for whom a student loan application was approved between January 2008 and December 2009, who said the loan was not as large as they would have liked.
Note: Reference period: ^REfPErEng01.


Variable Name: M6Q08
Position: 409
Length: 1

Did the amount of the loan prevent you from attending the school you wanted to attend?

Table 199
  Response FREQ WTD
1 Yes 18 683
2 No 393 11,583
6 Valid skip 10,508 331,683
7 Don't know 1 6
9 Not stated 206 4,527
Total 11,126 348,481

Coverage: Respondents who applied for a government sponsored student loan between January 2008 and December 2009, for whom a student loan application was approved between January 2008 and December 2009, and who said the loans were not as large as they would have liked (includes those who did not know or refused to say if loans were as large as they would have liked).


Variable Name: M6Q10A
Position: 410
Length: 1

Do you have to pay for housing (mortgage, rent or room and board)?

Table 200
  Response FREQ WTD
1 Yes 8,492 251,528
2 No 2,485 93,976
8 Refused 3 148
9 Not stated 146 2,829
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q10A1
Position: 411
Length: 1

What is your average monthly payment? Would it be...?

Table 201
  Response FREQ WTD
1 less than $500 2,436 69,441
2 $500 to less than $1,000 4,252 123,540
3 $1,000 to less than $2,000 1,623 52,832
4 $2,000 or more 151 4,204
6 Valid skip 2,485 93,976
7 Don't know 11 867
8 Refused 19 645
9 Not stated 149 2,976
Total 11,126 348,481

Coverage: Respondents who have to pay for housing (mortgage, rent or room and board),


Variable Name: M6Q10B
Position: 412
Length: 1

Do you have a car loan or lease?

Table 202
  Response FREQ WTD
1 Yes 4,299 120,037
2 No 6,674 225,489
7 Don't know 2 54
8 Refused 4 51
9 Not stated 147 2,849
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q10B1
Position: 413
Length: 1

What is your average monthly payment? Would it be...?

Table 203
  Response FREQ WTD
1 less than $250 631 20,199
2 $250 to less than $500 2,666 73,950
3 $500 to less than $1,000 915 23,733
4 $1,000 or more 69 1,683
6 Valid skip 6,674 225,489
7 Don't know 8 163
8 Refused 10 309
9 Not stated 153 2,955
Total 11,126 348,481

Coverage: Respondents who have a car loan or lease.


Variable Name: M6Q10C
Position: 414
Length: 1

Do you have a line of credit from a bank or financial institution?

Table 204
  Response FREQ WTD
1 Yes 4,151 127,185
2 No 6,816 218,078
7 Don't know 8 317
8 Refused 4 51
9 Not stated 147 2,849
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q10C1
Position: 415
Length: 2

What is your outstanding balance? Would it be...?

Table 205
  Response FREQ WTD
1 0 - no balance 945 30,177
2 less than $500 186 6,479
3 $500 to less than $1,000 182 7,329
4 $1,000 to less than $2,000 267 9,562
5 $2,000 to less than $3,000 203 5,774
6 $3,000 to less than $5,000 441 13,155
7 $5,000 to less than $10,000 742 21,058
8 $10,000 to less than $20,000 625 18,289
9 $20,000 or more 513 14,154
96 Valid skip 6,816 218,078
97 Don't know 24 402
98 Refused 23 807
99 Not stated 159 3,218
Total 11,126 348,481

Coverage: Respondents who have a line of credit from a bank or financial institution.


Variable Name: M6Q10D
Position: 417
Length: 1

Do you have any credit cards from a financial institution, a retail store or gas station?

Table 206
  Response FREQ WTD
1 Yes 9,102 288,386
2 No 1,871 57,123
8 Refused 5 60
9 Not stated 148 2,913
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q10D1
Position: 418
Length: 2

What is your outstanding balance? Would it be...?

Table 207
  Response FREQ WTD
1 0 - no balance 3,439 108,726
2 less than $500 1,566 51,593
3 $500 to less than $1,000 1,091 36,578
4 $1,000 to less than $2,000 1,043 33,494
5 $2,000 to less than $3,000 566 16,624
6 $3,000 to less than $5,000 596 18,915
7 $5,000 to less than $10,000 580 16,260
8 $10,000 to less than $20,000 134 3,669
9 $20,000 or more 23 597
96 Valid skip 1,871 57,123
97 Don't know 21 770
98 Refused 42 1,119
99 Not stated 154 3,014
Total 11,126 348,481

Coverage: Respondents who have any credit cards from a financial institution, a retail store or gas station.


Variable Name: M6Q10E
Position: 420
Length: 1

Do you have any other personal loans not already mentioned?

Table 208
  Response FREQ WTD
1 Yes 943 28,058
2 No 10,026 317,360
7 Don't know 2 36
8 Refused 6 73
9 Not stated 149 2,954
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q10E1
Position: 421
Length: 2

What is your outstanding balance? Would it be...?

Table 209
  Response FREQ WTD
1 0 - no balance 9 358
2 less than $500 29 1,120
3 $500 to less than $1,000 52 1,719
4 $1,000 to less than $2,000 91 2,941
5 $2,000 to less than $3,000 70 1,888
6 $3,000 to less than $5,000 117 4,250
7 $5,000 to less than $10,000 212 6,208
8 $10,000 to less than $20,000 153 3,536
9 $20,000 or more 197 5,830
96 Valid skip 10,026 317,360
97 Don't know 9 170
98 Refused 4 38
99 Not stated 157 3,063
Total 11,126 348,481

Coverage: Respondents who have other personal loans other than those already mentioned.


Variable Name: M6Q10F
Position: 423
Length: 1

Do you have other debt not already reported?

Table 210
  Response FREQ WTD
1 Yes 486 15,580
2 No 10,484 329,769
7 Don't know 2 119
8 Refused 5 60
9 Not stated 149 2,954
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q10F1
Position: 424
Length: 2

What is your outstanding balance? Would it be...?

Table 211
  Response FREQ WTD
1 0 - no balance 3 79
2 less than $500 40 1,515
3 $500 to less than $1,000 66 2,479
4 $1,000 to less than $2,000 63 2,379
5 $2,000 to less than $3,000 30 1,060
6 $3,000 to less than $5,000 53 1,459
7 $5,000 to less than $10,000 70 2,127
8 $10,000 to less than $20,000 33 1,305
9 $20,000 or more 117 2,876
96 Valid skip 10,484 329,769
97 Don't know 8 252
98 Refused 3 47
99 Not stated 156 3,132
Total 11,126 348,481

Coverage: Respondents who have debt other than what was already reported.


Variable Name: M6Q11a
Position: 426
Length: 1

The current tax system provides assistance to post-secondary education through several deductions, non-refundable tax credits and tax deferrals. Are you aware of the following tax incentives

...Education tax credit?

Table 212
  Response FREQ WTD
1 Yes 6,464 191,998
2 No 4,453 152,410
7 Don't know 57 1,095
8 Refused 1 8
9 Not stated 151 2,970
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q11b
Position: 427
Length: 1

The current tax system provides assistance to post-secondary education through several deductions, non-refundable tax credits and tax deferrals. Are you aware of the following tax incentives

...Tuition fee tax credit?

Table 213
  Response FREQ WTD
1 Yes 6,814 203,303
2 No 4,108 140,797
7 Don't know 51 1,384
8 Refused 1 8
9 Not stated 152 2,988
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q11c
Position: 428
Length: 1

The current tax system provides assistance to post-secondary education through several deductions, non-refundable tax credits and tax deferrals. Are you aware of the following tax incentives

...Textbook tax credit?

Table 214
  Response FREQ WTD
1 Yes 5,893 178,675
2 No 5,062 166,584
7 Don't know 18 226
8 Refused 1 8
9 Not stated 152 2,988
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q11d
Position: 429
Length: 1

The current tax system provides assistance to post-secondary education through several deductions, non-refundable tax credits and tax deferrals. Are you aware of the following tax incentives

...Student loan interest tax credit?

Table 215
  Response FREQ WTD
1 Yes 5,265 149,485
2 No 5,682 195,534
7 Don't know 25 440
8 Refused 1 8
9 Not stated 153 3,014
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q12a
Position: 430
Length: 1

Have you taken advantage of the education tax credit between January 2008 and December 2009?

Table 216
  Response FREQ WTD
1 Yes 2,868 81,270
2 No 2,775 81,278
6 Valid skip 5,154 177,191
7 Don't know 157 5,453
8 Refused 2 13
9 Not stated 170 3,275
Total 11,126 348,481

Coverage: Respondents who have ever pursued postsecondary studies, who are aware of the education tax credit incentive
Note: Reference period: ^RefPerEng01.


Variable Name: M6Q12b
Position: 431
Length: 1

Have you taken advantage of the tuition fee tax credit between January 2008 and December 2009?

Table 217
  Response FREQ WTD
1 Yes 3,209 91,927
2 No 2,855 83,844
6 Valid skip 4,764 165,198
7 Don't know 131 3,966
8 Refused 1 11
9 Not stated 166 3,535
Total 11,126 348,481

Coverage: Respondents who have ever pursued postsecondary studies, who are aware of the tuition fee tax credit incentive
Note: Reference period: ^RefPerEng01.


Variable Name: M6Q12c
Position: 432
Length: 1

Have you taken advantage of the textbook tax credit between January 2008 and December 2009?

Table 218
  Response FREQ WTD
1 Yes 2,102 64,967
2 No 3,172 91,287
6 Valid skip 5,614 186,445
7 Don't know 102 3,265
8 Refused 1 11
9 Not stated 135 2,506
Total 11,126 348,481

Coverage: Respondents who have ever pursued postsecondary studies, who are aware of the textbook tax credit incentive
Note: Reference period: ^RefPerEng01.


Variable Name: M6Q12d
Position: 433
Length: 1

Have you taken advantage of the student loan interest tax credit between January 2008 and December 2009?

Table 219
  Response FREQ WTD
1 Yes 1,591 36,774
2 No 3,040 90,015
6 Valid skip 6,267 216,747
7 Don't know 87 2,269
8 Refused 1 11
9 Not stated 140 2,665
Total 11,126 348,481

Coverage: Respondents who have ever pursued postsecondary studies, who are aware of the student loan interest tax credit incentive
Note: Reference period: ^RefPerEng01.


Variable Name: M6Q13
Position: 434
Length: 1

Have you transferred an unused portion of your tax credit to your spouse, common-law partner, parent or grandparent between January 2008 and December 2009?

Table 220
  Response FREQ WTD
1 Yes 1,067 28,998
2 No 6,252 182,666
6 Valid skip 3,586 131,378
7 Don't know 103 3,141
8 Refused 1 11
9 Not stated 117 2,286
Total 11,126 348,481

Coverage: Respondents who have ever pursued postsecondary studies, who have taken advantage of at least one of the four listed tax credit incentives
Note: Reference period: ^RefPerEng01.


Variable Name: M6Q14
Position: 435
Length: 1

Have you carried forward an unused portion of your tax credit between January 2008 and December 2009?

Table 221
  Response FREQ WTD
1 Yes 2,183 57,205
2 No 4,961 149,391
6 Valid skip 3,586 131,378
7 Don't know 276 8,198
8 Refused 2 19
9 Not stated 118 2,290
Total 11,126 348,481

Coverage: Respondents who have ever pursued postsecondary studies, who have taken advantage of at least one of the four listed tax credit incentives
Note: Reference period: ^RefPerEng01.


Variable Name: M6Q30
Position: 436
Length: 2

The next questions ask about your plans for your future education and work. As things stand now, what is the highest level of education you think you will get?

Table 222
  Response FREQ WTD
1 Less than a high school diploma 81 4,292
2 High school diploma or graduation equivalency 1,105 44,738
3 Some post-secondary (no certificate, diploma or degree) 187 4,842
4 Private business school or commercial school certificate or diploma 232 6,183
5 College, CEGEP, trade/vocational certificate or diploma or registered apprenticeship 3,095 103,366
6 University bachelor's degree (eg. BA, BSc, B.Ed.) 2,957 88,738
7 University first professional degree (eg.medicine, dentistry, veterinary medicine, law,optometry, divinity) 320 8,419
8 University Master's degree 2,128 59,432
9 Ph.D. (University earned doctorate) 392 11,134
10 Other - Specify 229 6,295
97 Don't know 234 7,753
98 Refused 1 39
99 Not stated 165 3,252
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q31
Position: 438
Length: 2

What is the highest level of education you would like to get?

Table 223
  Response FREQ WTD
1 Less than a high school diploma 36 2,097
2 High school diploma or graduation equivalency 674 27,511
3 Some post-secondary (no certificate, diploma or degree) 113 2,466
4 Private business school or commercial school diploma or certificate 167 4,155
5 College, CEGEP, trade/vocational certificate or diploma or registered apprenticeship 2,650 89,265
6 University bachelor's degree (eg. BA, BSc, B.Ed.) 2,665 83,125
7 University first professional degree (eg. medicine, dentistry, veterinary medicine, law, optometry, divinity) 363 9,605
8 University Master's degree 2,751 81,178
9 Ph.D. (University earned doctorate) 865 24,846
10 Other - Specify 168 4,446
11 Undecided 449 14,765
97 Don't know 57 1,698
99 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32A
Position: 440
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...No

Table 224
  Response FREQ WTD
1 Yes 6,775 205,435
2 No 4,179 139,658
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32B
Position: 441
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Financial situation (needs to work / costs too much)

Table 225
  Response FREQ WTD
1 Yes 2,792 90,945
2 No 8,162 254,149
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32C
Position: 442
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Not able to get into program/marks too low/not accepted

Table 226
  Response FREQ WTD
1 Yes 156 5,859
2 No 10,798 339,235
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32D
Position: 443
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Not enough interest or motivation

Table 227
  Response FREQ WTD
1 Yes 239 8,163
2 No 10,715 336,930
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32E
Position: 444
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Wants to stay close to home

Table 228
  Response FREQ WTD
1 Yes 56 1,282
2 No 10,898 343,812
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32F 
Position: 445
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Takes too long

Table 229
  Response FREQ WTD
1 Yes 345 10,948
2 No 10,609 334,145
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32G
Position: 446
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Wanted to work

Table 230
  Response FREQ WTD
1 Yes 254 9,369
2 No 10,700 335,725
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32H
Position: 447
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Caring for own children

Table 231
  Response FREQ WTD
1 Yes 580 19,033
2 No 10,374 326,061
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32I
Position: 448
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Not sure what to do

Table 232
  Response FREQ WTD
1 Yes 56 1,762
2 No 10,898 343,332
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32J
Position: 449
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Not sure what to do

Table 232
  Response FREQ WTD
1 Yes 108 3,030
2 No 10,846 342,063
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q32K
Position: 450
Length: 1

Is there anything standing in your way of going as far in school as you would like to go?...Other - Specify

Table 233

Table 233
  Response FREQ WTD
1 Yes 540 19,107
2 No 10,414 325,987
7 Don't know 3 60
8 Refused 1 2
9 Not stated 168 3,325
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q46
Position: 451
Length: 2

What kind of job or occupation would you be interested in having when you are about 30 years old?

Table 234
  Response FREQ WTD
1 Describe 8,703 271,421
2 Own your own business/self-employed 652 21,853
3 Full-time homemaker 103 2,608
4 Don't expect to be working (other reasons) 37 1,010
5 Undecided 1,434 47,144
97 Don't know 27 1,037
98 Refused 1 11
99 Not stated 169 3,397
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q48
Position: 453
Length: 2

How certain are you that you will eventually have this career or work? Are you ...?

Table 235
  Response FREQ WTD
1 very certain 5,145 155,775
2 fairly certain 3,191 104,088
3 fairly uncertain 823 26,639
4 very uncertain 173 6,222
96 Valid skip 1,574 50,762
97 Don't know 20 376
98 Refused 2 167
99 Not stated 198 4,451
Total 11,126 348,481

Coverage: Respondents who described the job or gave the type of business they would be interested in having when they are 30 years old.


Variable Name: M6Q49A
Position: 455
Length: 1

How much education do you think is needed for this type of work?...Less than a high school diploma

Table 236
  Response FREQ WTD
1 Yes 278 11,363
2 No 8,941 277,698
6 Valid skip 1,574 50,762
7 Don't know 131 3,969
8 Refused 3 235
9 Not stated 199 4,453
Total 11,126 348,481

Coverage: Respondents who described the job or gave the type of business they would be interested in having when they are 30 years old.


Variable Name: M6Q49B
Position: 456
Length: 1

How much education do you think is needed for this type of work?...High school diploma or graduation equivalency

Table 237
  Response FREQ WTD
1 Yes 905 29,744
2 No 8,314 259,317
6 Valid skip 1,574 50,762
7 Don't know 131 3,969
8 Refused 3 235
9 Not stated 199 4,453
Total 11,126 348,481

Coverage: Respondents who described the job or gave the type of business they would be interested in having when they are 30 years old.


Variable Name: M6Q49C
Position: 457
Length: 1

How much education do you think is needed for this type of work?...Trade/vocational certificate or diploma, or an apprenticeship

Table 238
  Response FREQ WTD
1 Yes 1,174 37,765
2 No 8,045 251,295
6 Valid skip 1,574 50,762
7 Don't know 131 3,969
8 Refused 3 235
9 Not stated 199 4,453
Total 11,126 348,481

Coverage: Respondents who described the job or gave the type of business they would be interested in having when they are 30 years old.


Variable Name: M6Q49D
Position: 458
Length: 1

How much education do you think is needed for this type of work?...College or CEGEP (Quebec) certificate or diploma

Table 239
  Response FREQ WTD
1 Yes 2,273 77,739
2 No 6,946 211,321
6 Valid skip 1,574 50,762
7 Don't know 131 3,969
8 Refused 3 235
9 Not stated 199 4,453
Total 11,126 348,481

Coverage: Respondents who described the job or gave the type of business they would be interested in having when they are 30 years old.


Variable Name: M6Q49E
Position: 459
Length: 1

How much education do you think is needed for this type of work?...University degree

Table 240
  Response FREQ WTD
1 Yes 4,917 143,937
2 No 4,302 145,123
6 Valid skip 1,574 50,762
7 Don't know 131 3,969
8 Refused 3 235
9 Not stated 199 4,453
Total 11,126 348,481

Coverage: Respondents who described the job or gave the type of business they would be interested in having when they are 30 years old.


Variable Name: M6Q49F
Position: 460
Length: 1

How much education do you think is needed for this type of work?...Has not yet found a future career of interest

Table 241
  Response FREQ WTD
1 Yes 28 1,184
2 No 9,191 287,877
6 Valid skip 1,574 50,762
7 Don't know 131 3,969
8 Refused 3 235
9 Not stated 199 4,453
Total 11,126 348,481

Coverage: Respondents who described the job or gave the type of business they would be interested in having when they are 30 years old.


Variable Name: M6Q50
Position: 461
Length: 1

Do you have any difficulty hearing, seeing, communicating, walking, climbing stairs, bending, learning or doing any similar activities?

Table 242
  Response FREQ WTD
1 Yes, sometimes 598 18,306
2 Yes, often 266 9,395
3 No 10,085 317,336
7 Don't know 2 14
8 Refused 2 14
9 Not stated 173 3,417
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q51
Position: 462
Length: 1

Does a physical condition or mental condition or health problem reduce the amount or the kind of activity you can do

... at home?

Table 243
  Response FREQ WTD
1 Yes, sometimes 340 9,790
2 Yes, often 135 5,022
3 No 10,475 330,199
7 Don't know 2 42
8 Refused 1 11
9 Not stated 173 3,417
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q52
Position: 463
Length: 1

Does a physical condition or mental condition or health problem reduce the amount or the kind of activity you can/could do

... at work?

Table 244
  Response FREQ WTD
1 Yes, sometimes 405 13,302
2 Yes, often 149 4,848
3 No 10,394 326,755
7 Don't know 3 69
8 Refused 1 11
9 Not stated 174 3,495
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q53
Position: 464
Length: 1

Does a physical condition or mental condition or health problem reduce the amount or the kind of activity you can/could do

... at school?

Table 245
  Response FREQ WTD
1 Yes, sometimes 238 7,147
2 Yes, often 130 5,010
3 No 10,563 332,297
7 Don't know 16 380
8 Refused 5 153
9 Not stated 174 3,495
Total 11,126 348,481

Coverage: All respondents.


Variable Name: M6Q54
Position: 465
Length: 1

Does a physical condition or mental condition or health problem reduce the amount or the kind of activity you can do

... in other activities, for example, transportation or leisure?

Table 246
  Response FREQ WTD
1 Yes, sometimes 428 13,088
2 Yes, often 171 6,206
3 No 10,352 325,681
8 Refused 2 14
9 Not stated 173 3,492
Total 11,126 348,481

Coverage: All respondents.


Section: Derived Variables

Variable Name: M1BMD6
Position: 466
Length: 2

Derived variable: Date (month) respondent was last in school full-time.

Table 247
  Response FREQ WTD
1 January 240 8,759
2 February 146 4,312
3 March 196 6,692
4 April 1,854 59,870
5 May 1,632 42,874
6 June 1,942 58,929
7 July 179 5,730
8 August 369 13,294
9 September 231 7,362
10 October 244 7,742
11 November 191 6,491
12 December 3,705 120,992
99 Not stated 197 5,434
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: M1BY, M1BM and (M1BYD5, M1BMD5 from cycle 5).


Variable Name: MBYD6
Position: 468
Length: 4

Derived variable: Date (year) respondent was last in school full-time

Allowed values: 1990 : 2009

Table 248
  Response FREQ WTD
1998 : 2009 Year 10,937 343,406
9999 Not stated 189 5,076
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: M1BY, M1BM and (M1BYD5, M1BMD5 from cycle 5).


Variable Name: JOA30RD6
Position: 472
Length: 2

Derived variable: 2 digit occupation code (SOC 1991) for job or occupation respondent would be interested in having around the age of 30.

Table 249
  Response FREQ WTD
1 Management 832 28,124
2 Business, Finance and Administrative 863 28,161
3 Natural and Applied Sciences 1,049 32,053
4 Health 1,408 36,665
5 Social Science, Education, Government Service, and Religion 1,673 49,088
6 Art, Culture, Recreation and Sport 630 21,096
7 Sales and Service 860 29,710
8 Trades, Transport and Equipment Operators 856 27,819
9 Primary Industry 192 4,789
10 Processing, Manufacturing and Utilities 102 3,331
11 Unclassified 842 31,053
96 Valid skip 1,574 50,762
99 Not stated 245 5,830
Total 11,126 348,481

Coverage: Respondents who described the job or occupation they would like to have when they are about 30 years old.
Note: This variable was derived from the variable: JOA30D6.


Variable Name: JOA30D6
Position: 474
Length: 4

Derived variable: 4 digit occupation code (SOC 1991) for job or occupation respondent would be interested in having around the age of 30.

Table 250
  Response FREQ WTD
Response: SOC codes 8,465 260,836
9996 Valid skip 1,574 50,762
9999 Not stated 245 5,830
XXXX Unclassified 842 31,053
Total 11,126 348,481

Coverage: Respondents who described the job or occupation they would like to have when they are about 30 years old.
Note: This variable was derived from the variables M6Q46, M6S46 and M6S47.
Response= Minimum A011 and Maximum J319.


Section: Social Support

Variable Name: N6Q11
Position: 478
Length: 1

How do you feel about the following statements concerning the support you get from others? Please answer with Strongly disagree, Disagree, Agree or Strongly agree.

If something went wrong, no one would help me.

Table 251
  Response FREQ WTD
1 Strongly disagree 8,575 260,929
2 Disagree 2,206 77,037
3 Agree 66 2,926
4 Strongly agree 94 3,442
7 Don't know 5 147
8 Refused 1 2
9 Not stated 179 3,997
Total 11,126 348,481

Coverage: All respondents.


Variable Name: N6Q12
Position: 479
Length: 1

How do you feel about the following statements concerning the support you get from others?

I have family and friends who help me feel safe, secure and happy.

Table 252
  Response FREQ WTD
1 Strongly disagree 49 1,778
2 Disagree 39 1,772
3 Agree 2,241 76,171
4 Strongly agree 8,614 264,581
7 Don't know 1 4
8 Refused 1 125
9 Not stated 181 4,049
Total 11,126 348,481

Coverage: All respondents.


Variable Name: N6Q13
Position: 480
Length: 1

How do you feel about the following statements concerning the support you get from others?

There is someone I trust whom I would turn to for advice if I were having problems.

Table 253
  Response FREQ WTD
1 Strongly disagree 72 2,942
2 Disagree 39 1,375
3 Agree 2,215 74,113
4 Strongly agree 8,617 265,860
8 Refused 1 125
9 Not stated 182 4,065
Total 11,126 348,481

Coverage: All respondents.


Variable Name: N6Q14
Position: 481
Length: 1

How do you feel about the following statements concerning the support you get from others?

There is no one I feel comfortable talking about problems with.

Table 254
  Response FREQ WTD
1 Strongly disagree 7,859 238,556
2 Disagree 2,689 91,268
3 Agree 213 7,931
4 Strongly agree 180 6,468
7 Don't know 2 68
8 Refused 1 125
9 Not stated 182 4,065
Total 11,126 348,481

Coverage: All respondents.


Variable Name: N6Q15
Position: 482
Length: 1

How do you feel about the following statements concerning the support you get from others?

There is no one I feel close to.

Table 255
  Response FREQ WTD
1 Strongly disagree 8,196 247,548
2 Disagree 2,563 88,442
3 Agree 87 3,818
4 Strongly agree 93 4,403
7 Don't know 4 80
8 Refused 1 125
9 Not stated 182 4,065
Total 11,126 348,481

Coverage: All respondents.


Variable Name: N6Q16
Position: 483
Length: 1

How do you feel about the following statements concerning the support you get from others?

There are people I can count on in times of trouble.

Table 256
  Response FREQ WTD
1 Strongly disagree 60 2,404
2 Disagree 55 1,931
3 Agree 2,451 82,836
4 Strongly agree 8,374 257,066
7 Don't know 3 54
8 Refused 1 125
9 Not stated 182 4,065
Total 11,126 348,481

Coverage: All respondents.


Section: Derived Variables

Variable Name: YSHSUPS6
Position: 484
Length: 8.5

Derived variable: This variable measures how much social support a respondent receives from friends, family and other sources.

Allowed values: -3.46620 : 00.95460

Table 257
  Response FREQ WTD
-3.30190 : 00.74340 Scale - social support 10,946 344,482
99.99999 Not stated 180 3,999
Total 11,126 348,481

Coverage: All respondents.
Note: The Item Response Theory (IRT) score was derived using the items N611, N612, N6Q13, N6Q14, N6Q15 and N6Q16. This variable has been standardized with mean 0 and standard deviation one.

This variable measures how much social support a respondent receives from friends, family and other sources.


Variable Name: YSHSUPE6
Position: 492
Length: 8.5

Derived variable: Standard error for the score on how much social support respondent receives from friends, family and other sources.

Allowed values: 00.15360 : 00.95460

Table 258
  Response FREQ WTD
00.20590 : 00.89950 Standard error for variable YSHSUPS6 10,946 344,482
99.99999 Not stated 180 3,999
Total 11,126 348,481

Coverage: All respondents.
Note: The Item Response Theory (IRT) score was derived using the items N6Q11, N6Q12, N6Q13, N6Q14, N6Q15 and N6Q16. This variable has been standardized with mean 0 and standard deviation one.

This is the standard error for the score on social support a respondent receives from friends, family and other sources (YSHSUPS6).


Variable Name: ELJBVD6
Position: 500
Length: 2

Derived variable: Indicates the number of eligible jobs (during this cycle) up to a maximum of 7 jobs (based on first 6 jobs + first job after leaving full-time schooling).

Allowed values:  00 : 07

Table 259
  Response FREQ WTD
0:07 Jobs 11,011 346,247
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: JENDATX6_7 and JOBCNTA.

The verification of the job eligibility is not performed on all jobs, but on a maximum of 6 jobs (first 6 jobs reported by the respondent) worked at during this cycle. However, this maximum can be increased by one eligible job in the case where a seventh job (first job after leaving full-time schooling) is reported and that this job ends in 2008 or 2009 and is different from the jobs (1 to 6) reported earlier. In this case, this seventh job is automatically considered as eligible. For this reason, two variables are created in order to calculate the number of jobs in 2008-2009. The variable ELJBVD6 indicates the number of eligible jobs up to a maximum of 7 jobs (based on first 6 jobs + first job after leaving full-time schooling), while the second variable ELJBNVD6 contains the remaining number of jobs for which no verification was possible.


Variable Name: ELJBNVD6
Position: 502
Length: 2

Derived variable: Contains the remaining number of jobs worked at (during this cycle) for which no verification was possible.

Allowed values: 00 : 93

Table 260
  Response FREQ WTD
0:15 Jobs 11,000 345,682
99 Not stated 126 2,799
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: JENDATX6_7 and JOBCNTA.

The verification of the job eligibility is not performed on all jobs, but on a maximum of 6 jobs (first 6 jobs reported by the respondent) worked at during this cycle. However, this maximum can be increased by one eligible job in the case where a seventh job (first job after leaving full-time schooling) is reported and that this job ends in 2008 or 2009 and is different from the jobs (1 to 6) reported earlier. In this case, this seventh job is automatically considered as eligible. For this reason, two variables are created in order to calculate the number of jobs in 2008-2009. The variable ELJBVD6 indicates the number of eligible jobs up to a maximum of 7 jobs (based on first 6 jobs + first job after leaving full-time schooling), while the second variable ELJBNVD6 contains the remaining number of jobs for which no verification was possible.


Variable Name: FJ_AGED6
Position: 504
Length: 2

Derived variable: Respondent's age when started the first job he/she worked at after leaving full-time schooling.

Allowed values: 00 : 25

Table 261
  Response FREQ WTD
4:25 Age (in years) 2,771 87,970
95 Not applicable 180 5,814
96 Valid skip 7,977 249,244
99 Not stated 198 5,454
Total 11,126 348,481

Coverage: Respondents who were in full-time school between January 2008 and November 2009; or who were last in school full-time prior to January 2008; who had not yet had a first job after leaving full-time school.
Note: This variable was derived from the variables: JSTDATD6 (for jobs 1 to 7), BMONTHD6, BYEARD6, FSTJOBD6 and AGED6.

A code of 95 indicates that the respondent has not yet begun a job after leaving full-time schooling. A code of 96 indicates that either the respondent was still in full time schooling as of December 2009 or that the respondent did not take any education in cycle 6 and had a first job calculated in either cycle 1,2,3,4 or 5.


Variable Name: FSTJOBD6
Position: 506
Length: 2

Derived variable: Identifies the job the respondent held at time of leaving full-time schooling, or the job first started after leaving full-time schooling (jobs 1 to 7 collected), for those respondents who were no longer full-time students in December 2009.

Allowed values: 01 : 07

Table 262
  Response FREQ WTD
1:07 First job after leaving full-time school 2,771 87,970
95 Not applicable, no valid jobs 180 5,814
96 Valid skip 7,977 249,244
99 Not stated 198 5,454
Total 11,126 348,481

Coverage: Respondents who were in full-time school between January 2008 and November 2009; or who were last in school full-time prior to January 2008; who had not yet had a first job after leaving full-time school.
Note: This variable was derived from the variables: JSTDATD6, P16Q27M, P16Q27Y, P16Q29M, P16Q29Y, M1BM, M1BY, M1BMD6 and M1BYD6.

First job after leaving full-time schooling identifies the job a respondent held at the time of leaving full-time schooling or the job she/he first started after leaving full-time schooling. During survey collection, respondents who were no longer full-time students in December 2009 were asked to report the first job they worked at after leaving full-time schooling. A procedure was then created to validate the job reported by respondents as their first job after leaving full-time schooling and/or when not reported, to identify one of the other jobs reported as being "first job".


Variable Name: FTSFJDD6
Position: 508
Length: 4

Derived variable: Duration of time, in months, from the date left full-time schooling to the time started first job after full-time schooling. FTSFJDD6 is duration in absolute value. (Use in combination with FTSJFLD6 to determine if duration is positive or negative).

Allowed values: 0000 : 9993

Table 263
  Response FREQ WTD
0000 : 0248 Number of months in absolute value 2,769 87,830
9995 Not applicable 180 5,814
9996 Valid skip 7,977 249,244
9999 Not stated 200 5,593
Total 11,126 348,481

Coverage: Respondents who were in full-time school between January 2008 and November 2009; or who were last in school full-time prior to January 2008; who had not yet had a first job after leaving full-time school.
Note: This variable was derived from the variables: FSTJOBD6, JSTDATD6_1:7 and FTENDATEX6.

FTSJFLD6 must be used along with FTSFJDD6. A negative value (i.e. FTSJFLD6 ="2") indicates the respondent started the first job he worked at after full-time schooling prior to leaving full-time schooling. A positive value indicates that the respondent started the first job he worked at after full-time schooling after leaving full-time schooling.


Variable Name: FTSJFLD6
Position: 512
Length: 1

Derived variable: Duration of time, in months, from the date left full-time schooling to the time started first job after full-time schooling. FTSFJDD6 is duration in absolute value. (Use in combination with FTSJFLD6 to determine if duration is positive or negative).

Table 264
  Response FREQ WTD
1 Positive value in FTSFJDD6 9,930 310,622
2 Negative value in FTSFJDD6 1,081 35,625
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who were in full-time school between January 2008 and November 2009; or who were last in school full-time prior to January 2008; who had not yet had a first job after leaving full-time school.
Note: This variable was derived from the variables: FSTJOBD6, JSTDATD6_1 :7 and FTENDATEX6.

FTSJFLD6 must be used along with FTSFJDD6. A negative value (i.e. FTSJFLD6 ="2") indicates the respondent started the first job he worked at after full-time schooling prior to leaving full-time schooling. A positive value indicates that the respondent started the first job he worked at after full-time schooling after leaving full-time schooling.


Variable Name: JBST01D6
Position: 513
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 265
  Response FREQ WTD
1 Respondent had a job in «January» 2008 8,464 266,050
2 Respondent did not have job «January» 2008 2,045 62,902
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.

Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST02D6
Position: 514
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 266
  Response FREQ WTD
1 Respondent had a job in «February» 2008 8,539 268,059
2 Respondent did not have job «February» 2008 1,970 60,893
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.

Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST03D6
Position: 515
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 267
  Response FREQ WTD
1 Respondent had a job in «March» 2008 8,630 271,636
2 Respondent did not have job «March» 2008 1,879 57,316
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.

Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST04D6
Position: 516
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 268
  Response FREQ WTD
1 Respondent had a job in «April» 2008 8,711 274,481
2 Respondent did not have job «April» 2008 1,798 54,471
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST05D6
Position: 517
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 269
  Response FREQ WTD
1 Respondent had a job in «May» 2008 9,034 283,797
2 Respondent did not have job «May» 2008 1,475 45,155
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST06D6
Position: 518
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 270
  Response FREQ WTD
1 Respondent had a job in «June» 2008 9,238 289,822
2 Respondent did not have job «June» 2008 1,271 39,130
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST07D6
Position: 519
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 271
  Response FREQ WTD
1 Respondent had a job in «July» 2008 9,250 289,934
2 Respondent did not have job «July» 2008 1,259 39,018
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST08D6
Position: 520
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 272
  Response FREQ WTD
1 Respondent had a job in «August» 2008 9,316 292,017
2 Respondent did not have job «August» 2008 1,193 36,935
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST09D6
Position: 521
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 273
  Response FREQ WTD
1 Respondent had a job in «September» 2008 9,226 289,884
2 Respondent did not have job «September» 2008 1,283 39,068
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST10D6
Position: 522
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 274
  Response FREQ WTD
1 Respondent had a job in «October» 2008 9,271 290,522
2 Respondent did not have job «October» 2008 1,238 38,430
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST11D6
Position: 523
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 275
  Response FREQ WTD
1 Respondent had a job in «November» 2008 9,251 289,679
2 Respondent did not have job «November» 2008 1,258 39,273
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST12D6
Position: 524
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 276
  Response FREQ WTD
1 Respondent had a job in «December» 2008 9,263 289,553
2 Respondent did not have job «December» 2008 1,246 39,399
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST13D6
Position: 525
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 277
  Response FREQ WTD
1 Respondent had a job in «January» 2009 9,242 288,846
2 Respondent did not have job «January» 2009 1,267 40,106
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST14D6
Position: 526
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 278
  Response FREQ WTD
1 Respondent had a job in «February» 2009 9,259 289,504
2 Respondent did not have job «February» 2009 1,250 39,448
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST15D6
Position: 527
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 279
  Response FREQ WTD
1 Respondent had a job in «March» 2009 9,252 288,618
2 Respondent did not have job «March» 2009 1,257 40,334
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST16D6
Position: 528
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 280
  Response FREQ WTD
1 Respondent had a job in «April» 2009 9,304 290,189
2 Respondent did not have job «April» 2009 1,205 38,763
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST17D6
Position: 529
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 281
  Response FREQ WTD
1 Respondent had a job in «May» 2009 9,436 294,303
2 Respondent did not have job «May» 2009 1,073 34,649
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST18D6
Position: 530
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 282
  Response FREQ WTD
1 Respondent had a job in «June» 2009 9,515 296,168
2 Respondent did not have job «June» 2009 994 32,784
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST19D6
Position: 531
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 283
  Response FREQ WTD
1 Respondent had a job in «July» 2009 9,504 296,594
2 Respondent did not have job «July» 2009 1,005 32,358
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST20D6
Position: 532
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 284
  Response FREQ WTD
1 Respondent had a job in «August» 2009 9,515 297,918
2 Respondent did not have job «August» 2009 994 31,034
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST21D6
Position: 533
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 285
  Response FREQ WTD
1 Respondent had a job in «September» 2009 9,349 294,230
2 Respondent did not have job «September» 2009 1,160 34,722
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST22D6
Position: 534
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 286
  Response FREQ WTD
1 Respondent had a job in «October» 2009 9,290 292,718
2 Respondent did not have job «October» 2009 1,219 36,234
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job)


Variable Name: JBST23D6
Position: 535
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 287
  Response FREQ WTD
1 Respondent had a job in «November» 2009 9,243 291,583
2 Respondent did not have job «November» 2009 1,266 37,369
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Variable Name: JBST24D6
Position: 536
Length: 1

Derived variable: Employment status - Variable for each month in 2008 and 2009 indicating if respondent was employed at at least one job.

Table 288
  Response FREQ WTD
1 Respondent had a job in «December» 2009 9,188 288,252
2 Respondent did not have job «December» 2009 1,321 40,700
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmX6 where mm takes the value of 01 to 24.
Variable indicates if respondent was employed at at least one job during the month. Note, during month, respondent may have worked or may not have worked at job (in situations where respondent is on an unpaid leave from the job).


Section: Reservation Wage

Variable Name: P56Q05
Position: 537
Length: 1

Would you move to another city or town to improve your job or career opportunities?

Table 289
  Response FREQ WTD
1 Yes 6,551 207,298
2 No 3,367 104,049
3 Maybe 948 30,478
7 Don't know 13 285
8 Refused 4 113
9 Not stated 243 6,259
Total 11,126 348,481

Coverage: All respondents.


Variable Name: P56Q06
Position: 538
Length: 2

What is the main reason you would not move?

Table 290
  Response FREQ WTD
1 Still in school 184 4,858
2 Happy with job situation 448 14,759
3 Miss family/friends 2,114 66,201
4 No guarantee of finding work elsewhere 50 2,107
5 Uncertainty/afraid of changes (different city, people) 79 2,501
6 Cultural, linguistic or social reasons 86 2,698
7 Cost of living elsewhere too high 78 2,866
8 Moving too expensive 117 3,603
9 Education/professional recognition 20 445
10 Caring for own child 136 3,694
11 Other family responsibilities 367 9,046
12 Other - Specify 614 21,251
96 Valid skip 6,551 207,298
97 Don't know 20 440
99 Not stated 262 6,716
Total 11,126 348,481

Coverage: Respondents who would not move to improve their job or career prospects.


Section: Derived Variables

Variable Name: RSWGD6
Position: 540
Length: 7.2

Derived variable: Reservation wage - the lowest wage or salary a respondent would accept to begin a new job immediately, full-time - expressed in dollars and cents per hour.

Allowed values: 0000.00 : 9993.93

Table 291
  Response FREQ WTD
0005.00 : 0191.78 Amount in dollars and in cents per hour 10,712 336,962
9999.99 Not stated 414 11,519
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: P56Q02 and P56Q03.
Reservation wage is the minimum wage at which a person will accept work. Also known as a worker's asking wage.


Section: Training


Variable Name: P66Q01
Position: 547
Length: 1

Did you participate in any courses or training programs organized by any of your employers in the last two years, that is between January 2008 and December 2009?

Table 292
  Response FREQ WTD
1 Yes 4,293 128,277
2 No 6,130 197,665
6 Valid skip 487 16,778
7 Don't know 12 293
8 Refused 3 99
9 Not stated 201 5,369
Total 11,126 348,481

Coverage: Respondents who worked between January 2008 and December 2009.
Note: Reference period: ^RefPerEng01.


Variable Name: P66Q03
Position: 548
Length: 1

Not including any schooling or training already discussed, in the last two years, have you attended other courses or training programs related to a job or career?

Table 293
  Response FREQ WTD
1 Yes 1,254 40,046
2 No 9,584 300,579
7 Don't know 7 291
8 Refused 3 99
9 Not stated 278 7,466
Total 11,126 348,481

Coverage: All respondents.


Variable Name: P66Q09_1
Position: 549
Length: 1

Think about the training course called (name of training). Did you take it to learn something for a job you already had?

Table 294
  Response FREQ WTD
1 Yes 3,568 105,719
2 No 234 7,260
6 Valid skip 7,118 230,046
7 Don't know 1 28
8 Refused 1 28
9 Not stated 204 5,401
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q10_1
Position: 550
Length: 1

Did you take this training course to help you find a new job or career?

Table 295
  Response FREQ WTD
1 Yes 294 9,122
2 No 3,506 103,617
6 Valid skip 7,118 230,046
7 Don't know 3 267
8 Refused 1 28
9 Not stated 204 5,401
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q11_1
Position: 551
Length: 1

Did you need to take this training course to keep collecting benefits from Employment Insurance, Social Assistance (welfare) or another government program?

Table 296
  Response FREQ WTD
1 Yes 47 2,061
2 No 3,752 110,804
6 Valid skip 7,118 230,046
7 Don't know 4 141
8 Refused 1 28
9 Not stated 204 5,401
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q14_1
Position: 552
Length: 1

Did you receive any pay (wages or salary) from an employer for the time you spent participating in this training course?

Table 297
  Response FREQ WTD
1 Yes 3,029 89,669
2 No 768 23,121
6 Valid skip 7,118 230,046
7 Don't know 5 180
8 Refused 1 28
9 Not stated 205 5,438
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q15_1
Position: 553
Length: 1

Did an employer give you time off work to participate in this training course?

Table 298
  Response FREQ WTD
1 Yes 2,696 78,190
2 No 1,099 34,598
6 Valid skip 7,118 230,046
7 Don't know 6 155
8 Refused 2 54
9 Not stated 205 5,438
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q09_2
Position: 554
Length: 1

Think about the training course called (name of training). Did you take it to learn something for a job you already had?

Table 299
  Response FREQ WTD
1 Yes 2,542 74,446
2 No 90 2,178
6 Valid skip 8,285 266,230
7 Don't know 4 204
8 Refused 1 28
9 Not stated 204 5,396
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q10_2
Position: 555
Length: 1

Did you take this training course to help you find a new job or career?

Table 300
  Response FREQ WTD
1 Yes 156 4,642
2 No 2,475 71,935
6 Valid skip 8,285 266,230
7 Don't know 5 250
8 Refused 1 28
9 Not stated 204 5,396
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q11_2
Position: 556
Length: 1

Did you need to take this training course to keep collecting benefits from Employment Insurance, Social Assistance (welfare) or another government program?

Table 301
  Response FREQ WTD
1 Yes 33 1,169
2 No 2,599 75,455
6 Valid skip 8,285 266,230
7 Don't know 4 204
8 Refused 1 28
9 Not stated 204 5,396
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q14_2
Position: 557
Length: 1

Did you receive any pay (wages or salary) from an employer for the time you spent participating in this training course?

Table 302
  Response FREQ WTD
1 Yes 2,168 62,199
2 No 463 14,407
6 Valid skip 8,285 266,230
7 Don't know 5 222
8 Refused 1 28
9 Not stated 204 5,396
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q15_2
Position: 558
Length: 1

Did an employer give you time off work to participate in this training course?

Table 303
  Response FREQ WTD
1 Yes 1,848 52,025
2 No 783 24,593
6 Valid skip 8,285 266,230
7 Don't know 5 210
8 Refused 1 28
9 Not stated 204 5,396
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program organized by an employer between January 2008 and December 2009.


Variable Name: P66Q09_3
Position: 559
Length: 1

Think about the training course called (name of training). Did you take it to learn something for a job you already had?

Table 304
  Response FREQ WTD
1 Yes 820 24,701
2 No 410 14,398
6 Valid skip 9,593 301,073
7 Don't know 5 204
8 Refused 2 78
9 Not stated 296 8,026
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q10_3
Position: 560
Length: 1

Did you take this training course to help you find a new job or career?

Table 305
  Response FREQ WTD
1 Yes 434 15,406
2 No 837 25,397
6 Valid skip 9,556 299,457
7 Don't know 3 121
8 Refused 2 78
9 Not stated 294 8,022
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q11_3
Position: 561
Length: 1

Did you need to take this training course to keep collecting benefits from Employment Insurance, Social Assistance (welfare) or another government program?

Table 306
  Response FREQ WTD
1 Yes 19 753
2 No 1,253 40,085
6 Valid skip 9,556 299,457
7 Don't know 2 86
8 Refused 2 78
9 Not stated 294 8,022
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q14_3
Position: 562
Length: 1

Did you receive any pay (wages or salary) from an employer for the time you spent participating in this training course?

Table 307
  Response FREQ WTD
1 Yes 384 10,741
2 No 845 28,405
6 Valid skip 9,671 303,168
7 Don't know 5 143
8 Refused 2 78
9 Not stated 219 5,947
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q15_3
Position: 563
Length: 1

Did an employer give you time off work to participate in this training course?

Table 308
  Response FREQ WTD
1 Yes 529 14,752
2 No 701 24,417
6 Valid skip 9,671 303,168
7 Don't know 4 119
8 Refused 2 78
9 Not stated 219 5,947
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q09_4
Position: 564
Length: 1

Think about the training course called (name of training). Did you take it to learn something for a job you already had?

Table 309
  Response FREQ WTD
1 Yes 395 12,415
2 No 145 5,089
6 Valid skip 10,286 322,748
7 Don't know 4 150
8 Refused 3 97
9 Not stated 293 7,982
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q10_4
Position: 565
Length: 1

Did you take this training course to help you find a new job or career?

Table 310
  Response FREQ WTD
1 Yes 141 5,359
2 No 421 12,957
6 Valid skip 10,266 321,932
7 Don't know 4 171
8 Refused 3 97
9 Not stated 291 7,964
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q11_4
Position: 566
Length: 1

Did you need to take this training course to keep collecting benefits from Employment Insurance, Social Assistance (welfare) or another government program?

Table 311
  Response FREQ WTD
1 Yes 5 170
2 No 558 18,182
6 Valid skip 10,266 321,932
7 Don't know 3 136
8 Refused 3 97
9 Not stated 291 7,964
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q14_4
Position: 567
Length: 1

Did you receive any pay (wages or salary) from an employer for the time you spent participating in this training course?

Table 312
  Response FREQ WTD
1 Yes 187 5,463
2 No 352 12,023
6 Valid skip 10,363 324,840
7 Don't know 5 169
8 Refused 3 97
9 Not stated 216 5,889
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q15_4
Position: 568
Length: 1

Did an employer give you time off work to participate in this training course?

Table 313
  Response FREQ WTD
1 Yes 256 7,724
2 No 283 9,762
6 Valid skip 10,363 324,840
7 Don't know 5 169
8 Refused 3 97
9 Not stated 216 5,889
Total 11,126 348,481

Coverage: Respondents who have reported at least one course or training program related to a job or a career between January 2008 and December 2009.


Variable Name: P66Q24
Position: 569
Length: 1

Were there any other training courses related to a job or career that you wanted to take in the last year but were unable to?

Table 314
  Response FREQ WTD
1 Yes 1,485 49,566
2 No 9,348 290,970
7 Don't know 3 152
8 Refused 4 144
9 Not stated 286 7,649
Total 11,126 348,481

Coverage: All respondents.


Variable Name: P66Q25A
Position: 570
Length: 1

Why were you unable to participate?...Too busy with school

Table 315
  Response FREQ WTD
1 Yes 105 3,581
2 No 1,379 45,968
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25B
Position: 571
Length: 1

Why were you unable to participate?...Too busy at work

Table 316
  Response FREQ WTD
1 Yes 412 14,056
2 No 1,072 35,492
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25C
Position: 572
Length: 1

Why were you unable to participate?...Lack of employer support

Table 317
  Response FREQ WTD
1 Yes 157 4,079
2 No 1,327 45,470
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25D
Position: 573
Length: 1

Why were you unable to participate?...Training was too expensive, not enough money

Table 318
  Response FREQ WTD
1 Yes 533 18,909
2 No 951 30,639
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25E
Position: 574
Length: 1

Why were you unable to participate?...Family responsibilities

Table 319
  Response FREQ WTD
1 Yes 112 3,836
2 No 1,372 45,712
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25F
Position: 575
Length: 1

Why were you unable to participate?...Health reasons

Table 320
  Response FREQ WTD
1 Yes 24 602
2 No 1,460 48,947
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25G
Position: 576
Length: 1

Why were you unable to participate?...Class was full

Table 321
  Response FREQ WTD
1 Yes 72 2,221
2 No 1,412 47,327
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25H
Position: 577
Length: 1

Why were you unable to participate?...Training offered at an inconvenient time or location

Table 322
  Response FREQ WTD
1 Yes 184 5,553
2 No 1,300 43,996
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25I
Position: 578
Length: 1

Why were you unable to participate?...Training was not available

Table 323
  Response FREQ WTD
1 Yes 85 2,207
2 No 1,399 47,341
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25J
Position: 579
Length: 1

Why were you unable to participate?...Didn't have the right skills or knowledge to participate

Table 324
  Response FREQ WTD
1 Yes 48 1,879
2 No 1,436 47,670
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q25K
Position: 580
Length: 1

Why were you unable to participate?...Other - Specify

Table 325
  Response FREQ WTD
1 Yes 130 5,117
2 No 1,354 44,431
6 Valid skip 9,348 290,970
7 Don't know 1 17
9 Not stated 293 7,945
Total 11,126 348,481

Coverage: Respondents who wanted to take a course or a training program between January 2009 and December 2009 but who were unable to.


Variable Name: P66Q26
Position: 581
Length: 1

Outside of educational programs and training courses, during the last year, that is in 2009, have you through your own initiative,

...used the Internet to learn for a job or career?

Table 326
  Response FREQ WTD
1 Yes 5,246 169,836
2 No 5,585 170,734
7 Don't know 1 67
8 Refused 4 144
9 Not stated 290 7,700
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng10.


Variable Name: P66Q27
Position: 582
Length: 1

Outside of educational programs and training courses, during the last year, that is in 2009, have you through your own initiative,

...read books, manuals or other written materials to learn for a job or career?

Table 327
  Response FREQ WTD
1 Yes 4,939 153,373
2 No 5,893 187,263
8 Refused 3 133
9 Not stated 291 7,712
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng10.


Variable Name: P66Q28
Position: 583
Length: 1

Outside of educational programs and training courses, during the last year, that is in 2009, have you through your own initiative,

...used a computer assisted teaching software to learn for a job or career?

Table 328
  Response FREQ WTD
1 Yes 1,858 62,103
2 No 8,972 278,244
7 Don't know 1 33
8 Refused 3 133
9 Not stated 292 7,969
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng10.


Variable Name: P66Q29
Position: 584
Length: 1

Outside of educational programs and training courses, during the last year, that is in 2009, have you through your own initiative,

...used videos, cassettes, CDs, television, radio or DVDs to learn for a job or career?

Table 329
  Response FREQ WTD
1 Yes 1,836 57,296
2 No 8,994 282,980
8 Refused 4 236
9 Not stated 292 7,969
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng10.


Variable Name: P66Q30
Position: 585
Length: 1

Outside of educational programs and training courses, during the last year, that is in 2009, have you through your own initiative,

...watched others work, or received advice or assistance from others, to learn for a job or career?

Table 330
  Response FREQ WTD
1 Yes 6,156 190,588
2 No 4,671 149,718
7 Don't know 3 54
8 Refused 3 133
9 Not stated 293 7,988
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng10.


Variable Name: P66Q31
Position: 586
Length: 1

Outside of educational programs and training courses, during the last year, that is in 2009, have you through your own initiative,

...participated in any other learning activities to learn for a job or career?

Table 331
  Response FREQ WTD
1 Yes 935 31,970
2 No 9,884 307,884
7 Don't know 11 507
8 Refused 3 133
9 Not stated 293 7,988
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng10.


Section: Derived Variables

Variable Name: ERTD6
Position: 587
Length: 2

Derived variable: Number of employer organized training courses or programs taken between January 2008 and December 2009.

Allowed values: 00 : 50

Table 332
  Response FREQ WTD
0:50 Number courses/programs - employer 10,370 323,789
96 Valid skip 487 16,778
99 Not stated 269 7,914
Total 11,126 348,481

Coverage: Respondents who worked during the reference period (January 2008 to December 2009).
Note: This variable was derived from the variables: P66Q01, P66Q02, P66Q05A, P66Q05B and WORKFLAG.
This variable includes programs or institutions made ineligible from Module H.


Variable Name: CRTD6
Position: 589
Length: 2

Derived variable: Number of career or job related training courses or programs taken between January 2008 and December 2009.

Allowed values: 00 : 50

Table 333
  Response FREQ WTD
0:50 Number courses/programs - career 10,827 340,200
99 Not stated 299 8,281
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: P66Q03, P66Q04, P66Q05A, P66Q05C and FLAGOTH.
This variable includes programs or institutions made ineligible from Module H.


Variable Name: TTH_1D6
Position: 591
Length: 5

Derived variable: Total number of training hours - Employer organized training - Course 1.

Allowed values: 00001 : 99993

Table 334
  Response FREQ WTD
00001 : 02160 Number of hours - course 1 3,783 112,507
99996 Valid skip 7,118 230,046
99999 Not stated 225 5,928
Total 11,126 348,481

Coverage: Respondents who reported at least one training course or program taken between January 2008 and December 2009.
Note: These variables were derived from the variables: ERTD6, CRTD6, P66C07B, P66C08, P66Q16, P66Q17, P66Q18, P66Q19, P66Q20, P66Q21, P66Q22 and P66Q23.
Employer organized courses are courses or training programs organized by the respondent's employer.


Variable Name: TTH_2D6
Position: 596
Length: 5

Derived variable: Total number of training hours - Employer organized training - Course 2.

Allowed values: 00001 : 99993

Table 335
  Response FREQ WTD
00001 : 01920 Number of hours - course 2 2,621 76,380
99996 Valid skip 8,285 266,230
99999 Not stated 220 5,871
Total 11,126 348,481

Coverage: Respondents who reported at least one training course or program taken between January 2008 and December 2009.
Note: These variables were derived from the variables: ERTD6, CRTD6, P66C07B, P66C08, P66Q16, P66Q17, P66Q18, P66Q19, P66Q20, P66Q21, P66Q22 and P66Q23.
Employer organized courses are courses or training programs organized by the respondent's employer.


Variable Name: TTH_3D6
Position: 601
Length: 5

Derived variable: Total number of training hours - Job/career related training - Course 1.

Allowed values: 00001 : 99993

Table 336
  Response FREQ WTD
00001 : 03840 Number of hours - course 1 1,255 40,395
99996 Valid skip 9,556 299,457
99999 Not stated 315 8,629
Total 11,126 348,481

Coverage: Respondents who reported at least one training course or program taken between January 2008 and December 2009.
Note: These variables were derived from the variables: ERTD6, CRTD6, P66C07B, P66C08, P66Q16, P66Q17, P66Q18, P66Q19, P66Q20, P66Q21, P66Q22 and P66Q23.

Job/career-related training courses are courses or programs taken to benefit or improve a career or job already held or future opportunities.


Variable Name: TTH_4D6
Position: 606
Length: 5

Derived variable: Total number of training hours - Job/career related training - Course 2.

Allowed values: 00001 : 99993

Table 337
  Response FREQ WTD
00001 : 00640 Number of hours - course 2 561 18,316
99996 Valid skip 10,266 321,932
99999 Not stated 299 8,233
Total 11,126 348,481

Coverage: Respondents who reported at least one training course or program taken between January 2008 and December 2009.
Note: These variables were derived from the variables: ERTD6, CRTD6, P66C07B, P66C08, P66Q16, P66Q17, P66Q18, P66Q19, P66Q20, P66Q21, P66Q22 and P66Q23.
Job/career-related training courses are courses or programs taken to benefit or improve a career or job already held or future opportunities.


Variable Name: TTHERD6
Position: 611
Length: 5

Derived variable: Total number of training hours - Employer organized training.

Allowed values: 00001 : 99993

Table 338
  Response FREQ WTD
00001 : 02880 Number hours - employer organized 3,773 112,240
99996 Valid skip 7,118 230,046
99999 Not stated 235 6,195
Total 11,126 348,481

Coverage: Respondents who reported at least one training course or program taken between January 2008 and December 2009.
Note: These variables were derived from the variables: ERTD6, CRTD6, P66C07B, P66C08, P66Q16, P66Q17, P66Q18, P66Q19, P66Q20, P66Q21, P66Q22 and P66Q23.
Employer organized courses are courses or training programs organized by the respondent's employer.


Variable Name: TTHJCD6
Position: 616
Length: 5

Derived variable: Total number of training hours - Job/career related training.

Allowed values: 00001 : 99993

Table 339
  Response FREQ WTD
00001 : 03840 Number hours - job/career related 1,253 40,298
99996 Valid skip 9,556 299,457
99999 Not stated 317 8,726
Total 11,126 348,481

Coverage: Respondents who reported at least one training course or program taken between January 2008 and December 2009.
Note: These variables were derived from the variables: ERTD6, CRTD6, P66C07B, P66C08, P66Q16, P66Q17, P66Q18, P66Q19, P66Q20, P66Q21, P66Q22 and P66Q23.
Job/career-related training courses are courses or programs taken to benefit or improve a career or job already held or future opportunities.


Variable Name: TTHD6
Position: 621
Length: 5

Derived variable: Total number of training hours.

Allowed values: 00001 : 99993

Table 340
  Response FREQ WTD
00001 : 03840 Number hours - total 4,563 138,117
99996 Valid skip 6,206 200,624
99999 Not stated 357 9,741
Total 11,126 348,481

Coverage: Respondents who reported at least one training course or program taken between January 2008 and December 2009.
Note: These variables were derived from the variables: ERTD6, CRTD6, P66C07B, P66C08, P66Q16, P66Q17, P66Q18, P66Q19, P66Q20, P66Q21, P66Q22 and P66Q23.
Employer organized courses are courses or training programs organized by the respondent's employer. Job/career-related training courses are courses or programs taken to benefit or improve a career or job already held or future opportunities.


Section: GAPS

Variable Name: PS6Q03A
Position: 626
Length: 1

During this last month, what activities did you do to find work?...Contacted employers directly or sent out resumes

Table 341
  Response FREQ WTD
1 Yes 751 23,298
2 No 821 28,291
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03B
Position: 627
Length: 1

During this last month, what activities did you do to find work?...Looked at placement or posting at school

Table 342
  Response FREQ WTD
1 Yes 93 2,677
2 No 1,479 48,912
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03C
Position: 628
Length: 1

During this last month, what activities did you do to find work?...Contacted public employment agency (Human Resource Centre, Student Employment Centre)

Table 343
  Response FREQ WTD
1 Yes 367 11,057
2 No 1,205 40,532
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03D
Position: 629
Length: 1

During this last month, what activities did you do to find work?...Contacted private employment agency or placement agency

Table 344
  Response FREQ WTD
1 Yes 146 4,608
2 No 1,426 46,981
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03E
Position: 630
Length: 1

During this last month, what activities did you do to find work?...Searched the Internet

Table 345
  Response FREQ WTD
1 Yes 947 31,437
2 No 625 20,152
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03F
Position: 631
Length: 1

During this last month, what activities did you do to find work?...Talked to friends or relatives

Table 346
  Response FREQ WTD
1 Yes 397 13,302
2 No 1,175 38,287
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03G
Position: 632
Length: 1

During this last month, what activities did you do to find work?...Placed or answered ads

Table 347
  Response FREQ WTD
1 Yes 277 8,948
2 No 1,295 42,641
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03H
Position: 633
Length: 1

During this last month, what activities did you do to find work?...Looked at job ads

Table 348
  Response FREQ WTD
1 Yes 581 17,522
2 No 991 34,067
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03I
Position: 634
Length: 1

During this last month, what activities did you do to find work?...Attended job training programs or courses

Table 349
  Response FREQ WTD
1 Yes 23 829
2 No 1,549 50,760
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q03J
Position: 635
Length: 1

During this last month, what activities did you do to find work?...Other - Specify

Table 350
  Response FREQ WTD
1 Yes 147 5,150
2 No 1,425 46,439
6 Valid skip 9,269 289,732
7 Don't know 4 88
9 Not stated 281 7,072
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q04
Position: 636
Length: 1

Did any of the following cause you difficulty in finding work?

Not knowing where to look for work?

Table 351
  Response FREQ WTD
1 Yes 317 11,382
2 No 1,256 40,206
6 Valid skip 9,269 289,732
7 Don't know 1 2
8 Refused 1 46
9 Not stated 282 7,112
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q05
Position: 637
Length: 1

Did any of the following cause you difficulty in finding work?

Not knowing the type of job you wanted?

Table 352
  Response FREQ WTD
1 Yes 491 16,566
2 No 1,081 34,939
6 Valid skip 9,269 289,732
7 Don't know 2 86
8 Refused 1 46
9 Not stated 282 7,112
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q06
Position: 638
Length: 1

Did any of the following cause you difficulty in finding work?

Not having the work experience required for available jobs?

Table 353
  Response FREQ WTD
1 Yes 884 29,016
2 No 686 22,551
6 Valid skip 9,269 289,732
7 Don't know 4 23
8 Refused 1 46
9 Not stated 282 7,112
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q07
Position: 639
Length: 1

Did any of the following cause you difficulty in finding work?

Not having enough education or training for available jobs?

Table 354
  Response FREQ WTD
1 Yes 579 19,362
2 No 992 32,192
6 Valid skip 9,269 289,732
7 Don't know 3 36
8 Refused 1 46
9 Not stated 282 7,112
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q08
Position: 640
Length: 1

Did any of the following cause you difficulty in finding work?

Not having the means of transportation to get to available jobs?

Table 355
  Response FREQ WTD
1 Yes 224 7,055
2 No 1,349 44,534
6 Valid skip 9,269 289,732
7 Don't know 1 2
8 Refused 1 46
9 Not stated 282 7,112
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q09
Position: 641
Length: 1

Did any of the following cause you difficulty in finding work?

A shortage of jobs?

Table 356
  Response FREQ WTD
1 Yes 971 31,832
2 No 593 19,484
6 Valid skip 9,269 289,732
7 Don't know 9 260
8 Refused 1 46
9 Not stated 283 7,127
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Variable Name: PS6Q10
Position: 642
Length: 1

Was there anything else causing you difficulties?

Table 357
  Response FREQ WTD
1 Yes 190 6,597
2 No 1,380 44,815
6 Valid skip 9,269 289,732
7 Don't know 3 164
8 Refused 1 46
9 Not stated 283 7,127
Total 11,126 348,481

Coverage: Respondents who were looking for work the last month when they were not working and not taking full-time schooling between January 2008 and December 2009.


Section: Derived Variables

Variable Name: FEDS01D6
Position: 643
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 358
  Response FREQ WTD
1 Full-time student in «January» 2008 3,367 103,348
2 Not a full-time student in «January» 2008 7,564 239,883
9 Not stated 195 5,251
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS02D6
Position: 644
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 359
  Response FREQ WTD
1 Full-time student in «February» 2008 3,352 102,741
2 Not a full-time student in «February» 2008 7,579 240,489
9 Not stated 195 5,251
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS03D6
Position: 645
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 360
  Response FREQ WTD
1 Full-time student in «March» 2008 3,327 102,257
2 Not a full-time student in «March» 2008 7,604 240,973
9 Not stated 195 5,251
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS04D6
Position: 646
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 361
  Response FREQ WTD
1 Full-time student in «April» 2008 3,231 98,997
2 Not a full-time student in «April» 2008 7,702 244,314
9 Not stated 193 5,170
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS05D6
Position: 647
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 362
  Response FREQ WTD
1 Full-time student in «May» 2008 1,948 58,703
2 Not a full-time student in «May» 2008 8,971 283,689
9 Not stated 207 6,089
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS06D6
Position: 648
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 363
  Response FREQ WTD
1 Full-time student in «June» 2008 1,394 43,112
2 Not a full-time student in «June» 2008 9,523 299,223
9 Not stated 209 6,146
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS07D6
Position: 649
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 364
  Response FREQ WTD
1 Full-time student in «July» 2008 1,120 35,111
2 Not a full-time student in «July» 2008 9,796 307,155
9 Not stated 210 6,215
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS08D6
Position: 650
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 365
  Response FREQ WTD
1 Full-time student in «August» 2008 1,140 35,984
2 Not a full-time student in «August» 2008 9,775 306,312
9 Not stated 211 6,186
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS09D6
Position: 651
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 366
  Response FREQ WTD
1 Full-time student in «September» 2008 2,442 72,347
2 Not a full-time student in «September» 2008 8,472 269,910
9 Not stated 212 6,224
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS10D6
Position: 652
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 367
  Response FREQ WTD
1 Full-time student in «October» 2008 2,471 73,310
2 Not a full-time student in «October» 2008 8,443 269,023
9 Not stated 212 6,148
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS11D6
Position: 653
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 368
  Response FREQ WTD
1 Full-time student in «November» 2008 2,452 72,899
2 Not a full-time student in «November» 2008 8,461 269,441
9 Not stated 213 6,141
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS12D6
Position: 654
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 369
  Response FREQ WTD
1 Full-time student in «December» 2008 2,398 71,431
2 Not a full-time student in «December» 2008 8,520 271,097
9 Not stated 208 5,954
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS13D6
Position: 655
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 370
  Response FREQ WTD
1 Full-time student in «January» 2009 2,296 68,593
2 Not a full-time student in «January» 2009 8,614 273,804
9 Not stated 216 6,084
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS14D6
Position: 656
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 371
  Response FREQ WTD
1 Full-time student in «February» 2009 2,266 67,508
2 Not a full-time student in «February» 2009 8,644 274,889
9 Not stated 216 6,084
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS15D6
Position: 657
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 372
  Response FREQ WTD
1 Full-time student in «March» 2009 2,261 67,865
2 Not a full-time student in «March» 2009 8,650 274,492
9 Not stated 215 6,124
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS16D6
Position: 658
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 373
  Response FREQ WTD
1 Full-time student in «April» 2009 2,196 66,592
2 Not a full-time student in «April» 2009 8,729 276,432
9 Not stated 201 5,457
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS17D6
Position: 659
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 374
  Response FREQ WTD
1 Full-time student in «May» 2009 1,401 42,491
2 Not a full-time student in «May» 2009 9,514 300,173
9 Not stated 211 5,817
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS18D6
Position: 660
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 375
  Response FREQ WTD
1 Full-time student in «June» 2009 1,018 31,997
2 Not a full-time student in «June» 2009 9,897 310,564
9 Not stated 211 5,920
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS19D6
Position: 661
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 376
  Response FREQ WTD
1 Full-time student in «July» 2009 781 24,859
2 Not a full-time student in «July» 2009 10,135 317,652
9 Not stated 210 5,970
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS20D6
Position: 662
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 377
  Response FREQ WTD
1 Full-time student in «August» 2009 824 25,895
2 Not a full-time student in «August» 2009 10,096 316,771
9 Not stated 206 5,815
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS21D6
Position: 663
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 378
  Response FREQ WTD
1 Full-time student in «September» 2009 1,814 54,740
2 Not a full-time student in «September» 2009 9,101 287,803
9 Not stated 211 5,938
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS22D6
Position: 664
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 379
  Response FREQ WTD
1 Full-time student in «October» 2009 1,810 54,561
2 Not a full-time student in «October» 2009 9,110 288,004
9 Not stated 206 5,916
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS23D6
Position: 665
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 380
  Response FREQ WTD
1 Full-time student in «November» 2009 1,766 53,628
2 Not a full-time student in «November» 2009 9,156 288,982
9 Not stated 204 5,872
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FEDS24D6
Position: 666
Length: 1

Derived variable: Full-time student status - Flag for each month in 2008-2009 indicating if respondent was a full-time student.

Table 381
  Response FREQ WTD
1 Full-time student in «December» 2009 1,835 56,000
2 Not a full-time student in «December» 2009 9,136 288,551
9 Not stated 155 3,929
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: YRMTmmX6, M1BY, M1BM, M6Q26 (a to x), and MFLGX6.
This is a flag indicating respondent's full-time status for each month in the reference period. Category 2 includes respondents not in school in 2008-2009. School includes both high school and post-secondary education.


Variable Name: FTES01D6
Position: 667
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 382
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «January» 2008 3,172 96,050
2 Respondent was in full-time secondary schooling in «January» 2008 40 2,258
3 Respondent was in full-time schooling, status is not derivable for «January» 2008 41 1,811
6 Valid skip 7,564 239,883
9 Not stated 309 8,480
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES02D6
Position: 668
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 383
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «February» 2008 3,162 95,659
2 Respondent was in full-time secondary schooling in «February» 2008 41 2,268
3 Respondent was in full-time schooling, status is not derivable for «February» 2008 40 1,709
6 Valid skip 7,579 240,489
9 Not stated 304 8,357
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES03D6
Position: 669
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 384
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «March» 2008 3,140 95,300
2 Respondent was in full-time secondary schooling in «March» 2008 39 2,205
3 Respondent was in full-time schooling, status is not derivable for «March» 2008 37 1,599
6 Valid skip 7,604 240,973
9 Not stated 306 8,404
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES04D6
Position: 670
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 385
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «April» 2008 3,052 92,280
2 Respondent was in full-time secondary schooling in «April» 2008 37 2,116
3 Respondent was in full-time schooling, status is not derivable for «April» 2008 39 1,707
6 Valid skip 7,702 244,314
9 Not stated 296 8,063
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES05D6
Position: 671
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 386
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «May» 2008 1,796 53,097
2 Respondent was in full-time secondary schooling in «May» 2008 37 2,110
3 Respondent was in full-time schooling, status is not derivable for «May» 2008 33 1,349
6 Valid skip 8,971 283,689
9 Not stated 289 8,236
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES06D6
Position: 672
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 387
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «June» 2008 1,270 38,333
2 Respondent was in full-time secondary schooling in «June» 2008 33 2,010
3 Respondent was in full-time schooling, status is not derivable for «June» 2008 22 854
6 Valid skip 9,523 299,223
9 Not stated 278 8,062
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES07D6
Position: 673
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 388
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «July» 2008 1,023 31,787
2 Respondent was in full-time secondary schooling in «July» 2008 19 1,200
3 Respondent was in full-time schooling, status is not derivable for «July» 2008 16 538
6 Valid skip 9,796 307,155
9 Not stated 272 7,801
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES08D6
Position: 674
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 389
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «August» 2008 1,046 32,777
2 Respondent was in full-time secondary schooling in «August» 2008 16 1,020
3 Respondent was in full-time schooling, status is not derivable for «August» 2008 17 615
6 Valid skip 9,775 306,312
9 Not stated 272 7,758
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES09D6
Position: 675
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 390
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «September» 2008 2,323 68,189
2 Respondent was in full-time secondary schooling in «September» 2008 27 1,568
3 Respondent was in full-time schooling, status is not derivable for «September» 2008 26 908
6 Valid skip 8,472 269,910
9 Not stated 278 7,906
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES10D6
Position: 676
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 391
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «October» 2008 2,345 68,908
2 Respondent was in full-time secondary schooling in «October» 2008 28 1,586
3 Respondent was in full-time schooling, status is not derivable for «October» 2008 30 1,044
6 Valid skip 8,443 269,023
9 Not stated 280 7,920
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES11D6
Position: 677
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 392
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «November» 2008 2,331 68,599
2 Respondent was in full-time secondary schooling in «November» 2008 26 1,503
3 Respondent was in full-time schooling, status is not derivable for «November» 2008 29 1,091
6 Valid skip 8,461 269,441
9 Not stated 279 7,847
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES12D6
Position: 678
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 393
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «December» 2008 2,282 67,253
2 Respondent was in full-time secondary schooling in «December» 2008 25 1,486
3 Respondent was in full-time schooling, status is not derivable for «December» 2008 27 983
6 Valid skip 8,520 271,097
9 Not stated 272 7,663
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES13D6
Position: 679
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 394
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «January» 2009 2,186 64,505
2 Respondent was in full-time secondary schooling in «January» 2009 26 1,454
3 Respondent was in full-time schooling, status is not derivable for «January» 2009 24 854
6 Valid skip 8,614 273,804
9 Not stated 276 7,864
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES14D6
Position: 680
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 395
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «February» 2009 2,156 63,430
2 Respondent was in full-time secondary schooling in «February» 2009 26 1,467
3 Respondent was in full-time schooling, status is not derivable for «February» 2009 25 885
6 Valid skip 8,644 274,889
9 Not stated 275 7,810
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES15D6
Position: 681
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 396
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «March» 2009 2,153 63,932
2 Respondent was in full-time secondary schooling in «March» 2009 24 1,334
3 Respondent was in full-time schooling, status is not derivable for «March» 2009 26 909
6 Valid skip 8,650 274,492
9 Not stated 273 7,814
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES16D6
Position: 682
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 397
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «April» 2009 2,094 62,621
2 Respondent was in full-time secondary schooling in «April» 2009 23 1,346
3 Respondent was in full-time schooling, status is not derivable for «April» 2009 23 885
6 Valid skip 8,729 276,432
9 Not stated 257 7,197
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES17D6
Position: 683
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 398
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «May» 2009 1,318 39,327
2 Respondent was in full-time secondary schooling in «May» 2009 18 940
3 Respondent was in full-time schooling, status is not derivable for «May» 2009 19 726
6 Valid skip 9,514 300,173
9 Not stated 257 7,315
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES18D6
Position: 684
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 399
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «June» 2009 958 29,566
2 Respondent was in full-time secondary schooling in «June» 2009 13 786
3 Respondent was in full-time schooling, status is not derivable for «June» 2009 15 584
6 Valid skip 9,897 310,564
9 Not stated 243 6,981
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES19D6
Position: 685
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 400
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «July» 2009 736 23,159
2 Respondent was in full-time secondary schooling in «July» 2009 6 420
3 Respondent was in full-time schooling, status is not derivable for «July» 2009 11 363
6 Valid skip 10,135 317,652
9 Not stated 238 6,887
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES20D6
Position: 686
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 401
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «August» 2009 775 23,899
2 Respondent was in full-time secondary schooling in «August» 2009 7 573
3 Respondent was in full-time schooling, status is not derivable for «August» 2009 13 509
6 Valid skip 10,096 316,771
9 Not stated 235 6,730
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES21D6
Position: 687
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 402
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «September» 2009 1,719 50,857
2 Respondent was in full-time secondary schooling in «September» 2009 17 932
3 Respondent was in full-time schooling, status is not derivable for «September» 2009 24 957
6 Valid skip 9,101 287,803
9 Not stated 265 7,933
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES22D6
Position: 688
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 403
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «October» 2009 1,711 50,422
2 Respondent was in full-time secondary schooling in «October» 2009 23 1,327
3 Respondent was in full-time schooling, status is not derivable for «October» 2009 28 1,017
6 Valid skip 9,110 288,004
9 Not stated 254 7,711
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES23D6
Position: 689
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 404
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «November» 2009 1,666 49,437
2 Respondent was in full-time secondary schooling in «November» 2009 24 1,406
3 Respondent was in full-time schooling, status is not derivable for «November» 2009 29 1,044
6 Valid skip 9,156 288,982
9 Not stated 251 7,612
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: FTES24D6
Position: 690
Length: 1

Derived variable: Whether the respondent was in elementary, secondary or post-secondary full-time schooling for each month during 2008-2009.

Table 405
  Response FREQ WTD
1 Respondent was in full-time post-secondary schooling in «December» 2009 1,732 51,840
2 Respondent was in full-time secondary schooling in «December» 2009 24 1,246
3 Respondent was in full-time schooling, status is not derivable for «December» 2009 33 1,218
6 Valid skip 9,136 288,551
9 Not stated 201 5,625
Total 11,126 348,481

Coverage: Respondents who took some education (elementary, secondary school or post-secondary education) between January 2008 and December 2009.
Note: This variable was derived from the variables: FEDSmmD6, YRMTmmX6, EDTPSYD6, EDTPSMD6, LFTESYD6, LFTESMD6, DLFPSYD6 and DLFPSMD6.


Variable Name: LGMD6
Position: 691
Length: 2

Derived variable: Last Gap Month. Last month in the reference period when the respondent was not employed at a job and was not a student full-time.

Table 406
  Response FREQ WTD
1 January 2008 85 3,034
2 February 2008 80 3,164
3 March 2008 69 2,417
4 April 2008 69 1,871
5 May 2008 126 3,689
6 June 2008 75 2,004
7 July 2008 120 3,661
8 August 2008 267 7,758
9 September 2008 91 2,322
10 October 2008 51 1,237
11 November 2008 47 1,201
12 December 2008 63 1,854
13 January 2009 67 1,853
14 February 2009 49 1,521
15 March 2009 62 2,267
16 April 2009 76 2,541
17 May 2009 107 3,200
18 June 2009 91 2,670
19 July 2009 118 3,839
20 August 2009 316 9,558
21 September 2009 100 3,178
22 October 2009 82 2,561
23 November 2009 80 2,304
24 December 2009 1,064 36,300
96 Valid skip 7,652 240,188
99 Not stated 119 2,289
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not at school full-time and not working between January 2008 and December 2009.
Note: This variable was derived from the variables: LFWmmD6, M1BM and M1BY.
A gap month is a month during the reference period where respondent was not employed at a job and was not a student full-time. The 'last gap month' is the last month during the reference period where this occurred. Respondents were asked if they did anything to look for work, and what activities they did to look for work, during their last gap month only.


Variable Name: LWLGMD6
Position: 693
Length: 1

Derived variable: Looking for Work Last Gap Month. Variable to indicate if respondent was looking for a job during their last gap month of the reference period.

Table 407
  Response FREQ WTD
1 Yes 1,507 49,424
2 No 1,687 51,799
6 Valid skip 7,652 240,188
9 Not stated 280 7,070
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not at school full-time and not working between January 2008 and December 2009.
Note: This variable was derived from the variables: LFWmmD6 and LGMD6.


Variable Name: MLTJBYD6
Position: 694
Length: 1

Derived variable: Flag to indicate if respondent was employed at 2 or more jobs during one month or more at any time between January 2008 and December 2009.

Table 408
  Response FREQ WTD
0 Not employed at 2 or more jobs during any one month in 2008 and/or 2009 6,319 199,221
1 Employed at 2 or more jobs during one or more months in 2008 and/or 2009 4,190 129,731
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: MTJBmmD6 and ELJBVD6.


Variable Name: MTJB01D6
Position: 695
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 409
  Response FREQ WTD
0:05 Number of jobs - «January» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB02D6
Position: 697
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 410
  Response FREQ WTD
0:05 Number of jobs - «February» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB03D6
Position: 699
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 411
  Response FREQ WTD
0:04 Number of jobs - «March» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB04D6
Position: 701
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 412
  Response FREQ WTD
0:05 Number of jobs - «April» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB05D6
Position: 703
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 413
  Response FREQ WTD
0:05 Number of jobs - «May» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB06D6
Position: 705
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 414
  Response FREQ WTD
0:05 Number of jobs - «June» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB07D6
Position: 707
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 415
  Response FREQ WTD
0:05 Number of jobs - «July» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB08D6
Position: 709
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 416
  Response FREQ WTD
0:05 Number of jobs - «August» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB09D6
Position: 711
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 417
  Response FREQ WTD
0:05 Number of jobs - «September» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB10D6
Position: 713
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 0

Table 418
  Response FREQ WTD
0:05 Number of jobs - «October» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB11D6
Position: 715
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 419
  Response FREQ WTD
0:05 Number of jobs - «November» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB12D6
Position: 717
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 420
  Response FREQ WTD
0:05 Number of jobs - «December» 2008 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB13D6
Position: 719
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 421
  Response FREQ WTD
0:05 Number of jobs - «January» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB14D6
Position: 721
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 0

Table 422
  Response FREQ WTD
0:05 Number of jobs - «February» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB15D6
Position: 723
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 423
  Response FREQ WTD
0:06 Number of jobs - «March» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB16D6
Position: 725
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 424
  Response FREQ WTD
0:06 Number of jobs - «April» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB17D6
Position: 727
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 425
  Response FREQ WTD
0:06 Number of jobs - «May» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB18D6
Position: 729
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 426
  Response FREQ WTD
0:06 Number of jobs - «June» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB19D6
Position: 731
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 427
  Response FREQ WTD
0:06 Number of jobs - «July» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB20D6
Position: 733
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 428
  Response FREQ WTD
0:06 Number of jobs - «August» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB21D6
Position: 735
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 429
  Response FREQ WTD
0:06 Number of jobs - «September» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB22D6
Position: 737
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 430
  Response FREQ WTD
0:06 Number of jobs - «October» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB23D6
Position: 739
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 431
  Response FREQ WTD
0:06 Number of jobs - «November» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: MTJB24D6
Position: 741
Length: 2

Derived variable: Variable identifies, for each month from January 2008 to December 2009, the number of jobs the respondent was employed at during the month.

Allowed values: 00 : 07

Table 432
  Response FREQ WTD
0:06 Number of jobs - «December» 2009 10,509 328,952
96 Valid skip 502 17,295
99 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: ELJBVD6, STDATEX6, ENDDATX6 and YRMTmmX6.
This derived variable will only take into consideration valid reported dates. In some cases complete job start date and job end date is not available. In such cases, only the month(s) which the respondent has given validation for are included. For cases where both dates are missing, that particular job will not be reflected in this derived variable.


Variable Name: LFW01D6
Position: 743
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 433
  Response FREQ WTD
1 Yes - «January» 2008 425 14,571
2 No 621 20,390
6 Valid skip 9,855 308,139
9 Not stated 225 5,382
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW02D6
Position: 744
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 434
  Response FREQ WTD
1 Yes - «February» 2008 385 13,379
2 No 591 19,463
6 Valid skip 9,924 310,350
9 Not stated 226 5,290
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW03D6
Position: 745
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 435
  Response FREQ WTD
1 Yes - «March» 2008 345 12,730
2 No 569 17,609
6 Valid skip 9,994 313,306
9 Not stated 218 4,835
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW04D6
Position: 746
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 436
  Response FREQ WTD
1 Yes - «April» 2008 312 11,047
2 No 587 18,522
6 Valid skip 10,009 313,844
9 Not stated 218 5,068
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW05D6
Position: 747
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 437
  Response FREQ WTD
1 Yes - «May» 2008 400 14,056
2 No 708 22,566
6 Valid skip 9,790 306,362
9 Not stated 228 5,498
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW06D6
Position: 748
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 438
  Response FREQ WTD
1 Yes - «June» 2008 391 14,241
2 No 731 22,849
6 Valid skip 9,772 305,937
9 Not stated 232 5,455
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW07D6
Position: 749
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 439
  Response FREQ WTD
1 Yes - «July» 2008 409 14,204
2 No 808 24,938
6 Valid skip 9,681 303,847
9 Not stated 228 5,492
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW08D6
Position: 750
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 440
  Response FREQ WTD
1 Yes - «August» 2008 366 11,785
2 No 801 25,922
6 Valid skip 9,731 305,401
9 Not stated 228 5,374
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW09D6
Position: 751
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 441
  Response FREQ WTD
1 Yes - «September» 2008 285 9,318
2 No 544 18,614
6 Valid skip 10,090 315,803
9 Not stated 207 4,746
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW10D6
Position: 752
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 442
  Response FREQ WTD
1 Yes - «October» 2008 249 9,196
2 No 518 16,828
6 Valid skip 10,151 317,631
9 Not stated 208 4,826
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW11D6
Position: 753
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 443
  Response FREQ WTD
1 Yes - «November» 2008 253 9,374
2 No 525 17,219
6 Valid skip 10,140 317,117
9 Not stated 208 4,771
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW12D6
Position: 754
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 444
  Response FREQ WTD
1 Yes - «December» 2008 245 9,264
2 No 543 18,019
6 Valid skip 10,128 316,390
9 Not stated 210 4,809
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW13D6
Position: 755
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 445
  Response FREQ WTD
1 Yes - «January» 2009 298 11,243
2 No 528 17,570
6 Valid skip 10,093 315,002
9 Not stated 207 4,667
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW14D6
Position: 756
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 446
  Response FREQ WTD
1 Yes - «February» 2009 282 10,653
2 No 537 17,957
6 Valid skip 10,101 315,286
9 Not stated 206 4,585
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW15D6
Position: 757
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 447
  Response FREQ WTD
1 Yes - «March» 2009 308 12,038
2 No 519 17,144
6 Valid skip 10,088 314,472
9 Not stated 211 4,827
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW16D6
Position: 758
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 448
  Response FREQ WTD
1 Yes - «April» 2009 297 11,617
2 No 524 16,795
6 Valid skip 10,098 315,342
9 Not stated 207 4,726
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW17D6
Position: 759
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 449
  Response FREQ WTD
1 Yes - «May» 2009 352 13,587
2 No 602 19,312
6 Valid skip 9,965 310,874
9 Not stated 207 4,708
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW18D6
Position: 760
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 450
  Response FREQ WTD
1 Yes - «June» 2009 347 13,272
2 No 660 21,168
6 Valid skip 9,910 309,120
9 Not stated 209 4,921
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW19D6
Position: 761
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 451
  Response FREQ WTD
1 Yes - «July» 2009 372 13,169
2 No 715 23,110
6 Valid skip 9,827 307,195
9 Not stated 212 5,007
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW20D6
Position: 762
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 452
  Response FREQ WTD
1 Yes - «August» 2009 347 11,722
2 No 720 23,259
6 Valid skip 9,847 308,478
9 Not stated 212 5,021
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW21D6
Position: 763
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 453
  Response FREQ WTD
1 Yes - «September» 2009 321 11,838
2 No 548 17,825
6 Valid skip 10,046 314,013
9 Not stated 211 4,805
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW22D6
Position: 764
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 454
  Response FREQ WTD
1 Yes - «October» 2009 332 11,567
2 No 544 18,081
6 Valid skip 10,038 313,943
9 Not stated 212 4,890
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW23D6
Position: 765
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 455
  Response FREQ WTD
1 Yes - «November» 2009 354 12,075
2 No 572 18,799
6 Valid skip 9,987 312,669
9 Not stated 213 4,938
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: LFW24D6
Position: 766
Length: 1

Derived variable: Variable to indicate if the respondent had done anything in looking for work in the indicated month.

Table 456
  Response FREQ WTD
1 Yes - «December» 2009 374 13,848
2 No 604 19,759
6 Valid skip 9,943 309,892
9 Not stated 205 4,982
Total 11,126 348,481

Coverage: Respondents who had at least one month in which they were not working or at school between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 (Job status), FEDSmmD6 (full time education status) and the question PS_Q01.
PS_Q01--For every month in 2008-2009 where respondent was not employed at a job and not a full-time student, was asked if they looked for work that month. Will be a valid skip if records indicate full time student status or working status.


Variable Name: JBFPTPD6
Position: 767
Length: 1

Derived variable: Full-time/part-time status among all jobs that the respondent HAD in December 2009.

Table 457
  Response FREQ WTD
1 Respondent had at least one full-time job in Dec-09 7,570 235,299
2 All of the respondent's jobs in December 2009 were part-time. 1,473 48,753
3 Unknown full-time/part-time status (when no detail was collected for at least one job) 145 4,200
5 Not applicable 1,321 40,700
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variable JBFTPTD6 (December 2009 only).
Questions on unpaid leaves were not asked in cycle 4, so the derived variable WKFTPTD4 could not be created as we do not know if the respondents were on an unpaid leave in December 2005. For this new variable, as long as the respondent had the job in December 2009, we took the information on the full-time or part-time status when they last worked at the job, and assign that job that status.


Variable Name: WSTP01D6
Position: 768
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 458
  Response FREQ WTD
1 Respondent was working in at least one job in «January» 2008 8,250 259,506
2 Respondent was not working at a job in «January» 2008 211 6,387
3 Unknown working/non-working status (when no details collected) 3 157
5 Not applicable 2,045 62,902
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP02D6
Position: 769
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 459
  Response FREQ WTD
1 Respondent was working in at least one job in «February» 2008 8,304 260,721
2 Respondent was not working at a job in «February» 2008 231 7,167
3 Unknown working/non-working status (when no details collected) 4 171
5 Not applicable 1,970 60,893
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP03D6
Position: 770
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 460
  Response FREQ WTD
1 Respondent was working in at least one job in «March» 2008 8,385 263,728
2 Respondent was not working at a job in «March» 2008 241 7,599
3 Unknown working/non-working status (when no details collected) 4 309
5 Not applicable 1,879 57,316
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP04D6
Position: 771
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 461
  Response FREQ WTD
1 Respondent was working in at least one job in «April» 2008 8,459 266,932
2 Respondent was not working at a job in «April» 2008 245 7,223
3 Unknown working/non-working status (when no details collected) 7 326
5 Not applicable 1,798 54,471
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP05D6
Position: 772
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 462
  Response FREQ WTD
1 Respondent was working in at least one job in «May» 2008 8,786 276,103
2 Respondent was not working at a job in «May» 2008 236 7,058
3 Unknown working/non-working status (when no details collected) 12 636
5 Not applicable 1,475 45,155
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP06D6
Position: 773
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 463
  Response FREQ WTD
1 Respondent was working in at least one job in «June» 2008 8,977 281,707
2 Respondent was not working at a job in «June» 2008 247 7,472
3 Unknown working/non-working status (when no details collected) 14 642
5 Not applicable 1,271 39,130
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP07D6
Position: 774
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 464
  Response FREQ WTD
1 Respondent was working in at least one job in «July» 2008 8,964 281,637
2 Respondent was not working at a job in «July» 2008 269 7,744
3 Unknown working/non-working status (when no details collected) 17 554
5 Not applicable 1,259 39,018
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP08D6
Position: 775
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 465
  Response FREQ WTD
1 Respondent was working in at least one job in «August» 2008 9,004 283,150
2 Respondent was not working at a job in «August» 2008 291 8,266
3 Unknown working/non-working status (when no details collected) 21 600
5 Not applicable 1,193 36,935
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP09D6
Position: 776
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 466
  Response FREQ WTD
1 Respondent was working in at least one job in «September» 2008 8,868 279,825
2 Respondent was not working at a job in «September» 2008 336 9,459
3 Unknown working/non-working status (when no details collected) 22 600
5 Not applicable 1,283 39,068
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP10D6
Position: 777
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 467
  Response FREQ WTD
1 Respondent was working in at at least one job in «October» 2008 8,960 282,042
2 Respondent was not working at a job in «October» 2008 293 8,147
3 Unknown working/non-working status (when no details collected) 18 333
5 Not applicable 1,238 38,430
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP11D6
Position: 778
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 468
  Response FREQ WTD
1 Respondent was working in at least one job in «November» 2008 8,907 280,490
2 Respondent was not working at a job in «November» 2008 323 8,821
3 Unknown working/non-working status (when no details collected) 21 368
5 Not applicable 1,258 39,273
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP12D6
Position: 779
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 469
  Response FREQ WTD
1 Respondent was working in at least one job in «December» 2008 8,863 278,251
2 Respondent was not working at a job in «December» 2008 372 10,511
3 Unknown working/non-working status (when no details collected) 28 791
5 Not applicable 1,246 39,399
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP13D6
Position: 780
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 470
  Response FREQ WTD
1 Respondent was working in at least one job in «January» 2009 8,788 275,725
2 Respondent was not working at a job in «January» 2009 418 11,981
3 Unknown working/non-working status (when no details collected) 36 1,140
5 Not applicable 1,267 40,106
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP14D6
Position: 781
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 471
  Response FREQ WTD
1 Respondent was working in at least one job in «February» 2009 8,841 277,126
2 Respondent was not working at a job in «February» 2009 383 11,107
3 Unknown working/non-working status (when no details collected) 35 1,271
5 Not applicable 1,250 39,448
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP15D6
Position: 782
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 472
  Response FREQ WTD
1 Respondent was working in at least one job in «March» 2009 8,817 275,774
2 Respondent was not working at a job in «March» 2009 401 12,071
3 Unknown working/non-working status (when no details collected) 34 773
5 Not applicable 1,257 40,334
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP16D6
Position: 783
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 473
  Response FREQ WTD
1 Respondent was working in at least one job in «April» 2009 8,873 277,838
2 Respondent was not working at a job in «April» 2009 391 11,390
3 Unknown working/non-working status (when no details collected) 40 960
5 Not applicable 1,205 38,763
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP17D6
Position: 784
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 474
  Response FREQ WTD
1 Respondent was working in at least one job in «May» 2009 9,051 283,393
2 Respondent was not working at a job in «May» 2009 345 9,889
3 Unknown working/non-working status (when no details collected) 40 1,021
5 Not applicable 1,073 34,649
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP18D6
Position: 785
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 475
  Response FREQ WTD
1 Respondent was working in at least one job in «June» 2009 9,118 285,588
2 Respondent was not working at a job in «June» 2009 341 8,870
3 Unknown working/non-working status (when no details collected) 56 1,710
5 Not applicable 994 32,784
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP19D6
Position: 786
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 476
  Response FREQ WTD
1 Respondent was working in at least one job in «July» 2009 9,063 284,292
2 Respondent was not working at a job in «July» 2009 377 10,354
3 Unknown working/non-working status (when no details collected) 64 1,948
5 Not applicable 1,005 32,358
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP20D6
Position: 787
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 477
  Response FREQ WTD
1 Respondent was working in at least one job in «August» 2009 9,073 285,693
2 Respondent was not working at a job in «August» 2009 374 10,244
3 Unknown working/non-working status (when no details collected) 68 1,980
5 Not applicable 994 31,034
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP21D6
Position: 788
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 478
  Response FREQ WTD
1 Respondent was working in at least one job in «September» 2009 8,908 282,002
2 Respondent was not working at a job in «September» 2009 365 10,340
3 Unknown working/non-working status (when no details collected) 76 1,888
5 Not applicable 1,160 34,722
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP22D6
Position: 789
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 479
  Response FREQ WTD
1 Respondent was working in at least one job in «October» 2009 8,965 283,570
2 Respondent was not working at a job in «October»2009 246 7,144
3 Unknown working/non-working status (when no details collected) 79 2,004
5 Not applicable 1,219 36,234
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP23D6
Position: 790
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 480
  Response FREQ WTD
1 Respondent was working in at least one job in «November» 2009 8,898 281,423
2 Respondent was not working at a job in «November» 2009 253 7,306
3 Unknown working/non-working status (when no details collected) 92 2,854
5 Not applicable 1,266 37,369
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WSTP24D6
Position: 791
Length: 1

Derived variable: Working at job status - Flag for each month in 2008-2009 to indicate if respondent was employed and working at at least one job.

Table 481
  Response FREQ WTD
1 Respondent was working in at least one job in «December» 2009 8,826 276,937
2 Respondent was not working at a job in «December» 2009 267 8,393
3 Unknown working/non-working status (when no details collected) 95 2,923
5 Not applicable 1,321 40,700
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: JBSTmmD6 and WKSTmmD6.
Variable indicates if respondent was employed and working at at least one job during the month. Note, if respondent was working at the job during the month, he was not on an unpaid leave from the job. In addition the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of break.


Variable Name: WKFPTPD6
Position: 792
Length: 1

Derived variable: Full-time/part-time status for respondent at all jobs in December 2009.

Table 482
  Response FREQ WTD
1 Respondent was working full-time in at least one job in December 2009 7,307 226,959
2 Respondent was working part-time at all job(s) in December 2009 1,519 49,978
5 Not Applicable 1,683 52,015
6 Valid skip 502 17,295
9 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable was derived from the variables: WKFTPTD6 (December 2009 only) and WSTPmmD6 (mm=24=December 2009 only).
As this variable was derived using WSTP24D6, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, or did not indicate the start month or end month of a break.


Section: Volunteer Activities


Variable Name: Q6Q01A
Position: 793
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...did you do any canvassing, campaigning, or fundraising as an unpaid volunteer?

Table 483
  Response FREQ WTD
1 Yes 1,583 44,109
2 No 9,223 295,163
7 Don't know 2 41
8 Refused 3 133
9 Not stated 315 9,035
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q02
Position: 794
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...were you an unpaid member of a board or committee?

Table 484
  Response FREQ WTD
1 Yes 1,256 31,786
2 No 9,549 307,475
7 Don't know 3 52
8 Refused 3 133
9 Not stated 315 9,035
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q03
Position: 795
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...did you provide information, help to educate or influence public opinion, or lobby others on behalf of an organization?

Table 485
  Response FREQ WTD
1 Yes 954 26,557
2 No 9,851 312,635
7 Don't know 3 122
8 Refused 3 133
9 Not stated 315 9,035
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q04
Position: 796
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...did you help to organize or supervise activities or events for an organization?

Table 486
  Response FREQ WTD
1 Yes 2,280 63,595
2 No 8,526 275,650
7 Don't know 1 31
8 Refused 4 170
9 Not stated 315 9,035
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q05
Position: 797
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...did you teach or coach for a group or organization as an unpaid volunteer?

Table 487
  Response FREQ WTD
1 Yes 1,343 36,501
2 No 9,462 302,718
7 Don't know 2 57
8 Refused 4 170
9 Not stated 315 9,035
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q06
Position: 798
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...did you collect, serve, or deliver food or other goods as a volunteer through an organization?

Table 488
  Response FREQ WTD
1 Yes 964 27,838
2 No 9,842 311,407
7 Don't know 1 31
8 Refused 4 170
9 Not stated 315 9,035
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q07
Position: 799
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...did you provide health care or support as a volunteer through an organization, including counselling and friendly visiting?

Table 489
  Response FREQ WTD
1 Yes 598 16,615
2 No 10,206 322,616
7 Don't know 1 31
8 Refused 4 170
9 Not stated 317 9,048
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q08
Position: 800
Length: 1

At any time in the year 2009, that is from January 1, 2009 to December 31, 2009

...did you volunteer by doing any other activities not yet mentioned? Please include help given to schools, religious organizations, community associations, etc.

Table 490
  Response FREQ WTD
1 Yes 616 19,007
2 No 10,186 320,149
7 Don't know 3 107
8 Refused 4 170
9 Not stated 317 9,048
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng11.


Variable Name: Q6Q10
Position: 801
Length: 1

As an unpaid volunteer, during the year 2009, about how often did you volunteer? Was it...?

Table 491
  Response FREQ WTD
1 at least once a week 1,374 37,770
2 at least once a month 956 23,946
3 at least 3 or 4 times during the year 755 22,797
4 only once or twice during the year 986 31,547
6 Valid skip 6,728 223,097
7 Don't know 7 114
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.
Note: Reference period: ^RefPerEng10.


Variable Name: Q6Q11A
Position: 802
Length: 1

What were your main reasons for starting the volunteer activities mentioned above?...Required to graduate from school

Table 492
  Response FREQ WTD
1 Yes 76 2,316
2 No 3,974 112,999
6 Valid skip 6,728 223,097
7 Don't know 28 858
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q11B
Position: 803
Length: 1

What were your main reasons for starting the volunteer activities mentioned above?...Was asked to do them

Table 493
  Response FREQ WTD
1 Yes 700 18,794
2 No 3,350 96,521
6 Valid skip 6,728 223,097
7 Don't know 28 858
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q11C
Position: 804
Length: 1

What were your main reasons for starting the volunteer activities mentioned above?...Told by police, a judge, a lawyer, or by other legal authority

Table 494
  Response FREQ WTD
1 Yes 0 0
2 No 4,050 115,315
6 Valid skip 6,728 223,097
7 Don't know 28 858
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q11D
Position: 805
Length: 1

What were your main reasons for starting the volunteer activities mentioned above?...To improve job opportunities

Table 495
  Response FREQ WTD
1 Yes 408 13,069
2 No 3,642 102,247
6 Valid skip 6,728 223,097
7 Don't know 28 858
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q11E
Position: 806
Length: 1

What were your main reasons for starting the volunteer activities mentioned above?...To explore own abilities and interests

Table 496
  Response FREQ WTD
1 Yes 889 24,222
2 No 3,161 91,094
6 Valid skip 6,728 223,097
7 Don't know 28 858
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q11F
Position: 807
Length: 1

What were your main reasons for starting the volunteer activities mentioned above?...To help a cause that you personally believe in

Table 497
  Response FREQ WTD
1 Yes 2,325 62,889
2 No 1,725 52,426
6 Valid skip 6,728 223,097
7 Don't know 28 858
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q11G
Position: 808
Length: 1

What were your main reasons for starting the volunteer activities mentioned above?...Thought it would be fun

Table 498
  Response FREQ WTD
1 Yes 871 22,676
2 No 3,179 92,640
6 Valid skip 6,728 223,097
7 Don't know 28 858
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q12
Position: 809
Length: 1

Was any of this volunteer work required for graduation from a school program you were taking?

Table 499
  Response FREQ WTD
1 Yes 32 768
2 No 3,969 113,004
6 Valid skip 6,804 225,413
7 Don't know 1 85
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009 but had not indicated in Q_Q11A that it was required to graduate from school.


Variable Name: Q6Q13
Position: 810
Length: 1

Have your volunteer activities given you new skills that you could apply directly to a job?

Table 500
  Response FREQ WTD
1 Not at all 1,218 36,919
2 Very little 1,146 31,272
3 A fair amount 1,127 30,257
4 A lot 585 17,704
6 Valid skip 6,728 223,097
7 Don't know 2 22
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Variable Name: Q6Q14
Position: 811
Length: 1

Have your volunteer activities ever helped you get a job?

Table 501
  Response FREQ WTD
1 Yes 1,117 28,838
2 No 2,893 85,371
6 Valid skip 6,728 223,097
7 Don't know 68 1,965
9 Not stated 320 9,210
Total 11,126 348,481

Coverage: Respondents who volunteered in 2009.


Section: Derived Variables

Variable Name: OVRD6
Position: 812
Length: 1

Derived variable: Respondent's volunteer activities in 2009.

Table 502
  Response FREQ WTD
1 Has done a/some volunteer activity(ies) 4,079 116,185
2 Has not done any volunteer activities 6,723 222,943
9 Not stated 324 9,353
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: Q6Q01A, Q6Q02, Q6Q03, Q6Q04, Q6Q05, Q6Q06, Q6Q07 and Q6Q08.
Variable indicates if respondent did any volunteer activities at any time in 2009.


Section: Skills

Variable Name: R6Q01A
Position: 813
Length: 2

How would you rate your

...ability to use a computer? For example, using software applications, programming, or using a computer to find or process information.

Table 503
  Response FREQ WTD
1 Poor 148 5,791
2 Fair 581 20,455
3 Good 2,807 91,581
4 Very good 4,024 119,295
5 Excellent 3,225 101,561
97 Don't know 2 38
98 Refused 6 215
99 Not stated 333 9,544
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q02
Position: 815
Length: 2

How would you rate your

...writing abilities? For example, writing to get across information or ideas to others, or editing writing to improve it.

Table 504
  Response FREQ WTD
1 Poor 157 6,239
2 Fair 604 22,451
3 Good 3,278 104,337
4 Very good 4,040 117,639
5 Excellent 2,704 87,856
97 Don't know 2 157
98 Refused 6 215
99 Not stated 335 9,588
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q03
Position: 817
Length: 2

How would you rate your

...reading abilities? For example, understanding what you read and identifying the most important issues, or using written material to find information.

Table 505
  Response FREQ WTD
1 Poor 70 2,802
2 Fair 352 14,333
3 Good 2,539 86,216
4 Very good 4,224 124,269
5 Excellent 3,598 110,901
97 Don't know 2 157
98 Refused 6 215
99 Not stated 335 9,588
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q04
Position: 819
Length: 2

How would you rate your

...oral communication abilities? For example, explaining ideas to others, speaking to an audience, or participating in discussions.

Table 506
  Response FREQ WTD
1 Poor 161 5,093
2 Fair 657 22,623
3 Good 3,679 116,558
4 Very good 4,044 120,694
5 Excellent 2,241 73,526
97 Don't know 3 184
98 Refused 6 215
99 Not stated 335 9,588
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q05
Position: 821
Length: 2

How would you rate your

...ability to solve new problems? For example, identifying problems and possible causes, planning strategies to solve problems, or thinking of new ways to solve problems.

Table 507
  Response FREQ WTD
1 Poor 28 804
2 Fair 386 14,452
3 Good 3,719 114,352
4 Very good 4,560 136,859
5 Excellent 2,089 71,885
97 Don't know 2 167
98 Refused 6 215
99 Not stated 336 9,747
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q06
Position: 823
Length: 2

How would you rate your

... mathematical abilities? For example, using formulas to solve problems, interpreting graphs or tables, or using math to figure out practical things in everyday life.

Table 508
  Response FREQ WTD
1 Poor 735 26,190
2 Fair 1,580 55,264
3 Good 4,016 124,824
4 Very good 2,895 83,751
5 Excellent 1,555 48,316
97 Don't know 2 167
98 Refused 6 215
99 Not stated 337 9,754
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q07
Position: 825
Length: 2

How often is a computer available for you to use at home?

Table 509
  Response FREQ WTD
1 Never 229 8,347
2 Less than once a month 16 437
3 A few times each month 38 1,776
4 A few times every week 75 2,474
5 Almost every day 10,422 325,435
97 Don't know 1 31
98 Refused 6 215
99 Not stated 339 9,767
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q09
Position: 827
Length: 2

How often was/is there a computer available for you to use at school?

Table 510
  Response FREQ WTD
1 Never 182 6,690
2 Less than once a month 18 887
3 A few times each month 42 1,518
4 A few times every week 125 4,539
5 Almost every day 5,447 169,203
6 Not in school 4,947 155,115
97 Don't know 16 480
98 Refused 10 281
99 Not stated 339 9,767
Total 11,126 348,481

Coverage: All respondents.


Variable Name: R6Q11
Position: 829
Length: 2

How often is there a computer available for you to use somewhere other than at home or at school?

Table 511
  Response FREQ WTD
1 Never 663 24,219
2 Less than once a month 162 6,681
3 A few times each month 325 11,386
4 A few times every week 625 19,100
5 Almost every day 8,908 273,992
97 Don't know 97 3,101
98 Refused 7 236
99 Not stated 339 9,767
Total 11,126 348,481

Coverage: All respondents.


Section: Demographics

Variable Name: U6Q04
Position: 831
Length: 2

How would you rate your current ability to speak English?

Table 512
  Response FREQ WTD
1 Cannot speak 27 1,717
2 Poor 162 8,289
3 Fair 346 16,352
4 Good 1,419 49,921
5 Very good 2,992 91,184
6 Excellent 5,830 170,917
97 Don't know 1 46
98 Refused 9 272
99 Not stated 340 9,783
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q04a
Position: 833
Length: 2

How would you rate your current ability to speak French?

Table 513
  Response FREQ WTD
1 Cannot speak 2,302 78,689
2 Poor 3,643 118,061
3 Fair 1,222 33,090
4 Good 1,003 26,394
5 Very good 1,195 35,582
6 Excellent 1,412 46,611
98 Refused 9 272
99 Not stated 340 9,783
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q06
Position: 835
Length: 1

Are you and this partner/spouse currently living together?

Table 514
  Response FREQ WTD
1 Yes 2,274 66,390
2 No 381 12,078
6 Valid skip 8,304 266,111
9 Not stated 167 3,902
Total 11,126 348,481

Coverage: Respondents whose marital status in the previous cycle was "Living common-law with a partner" or "Married".


Variable Name: U6Q42
Position: 836
Length: 2

What is the highest level of education your partner/spouse has completed?

Table 515
  Response FREQ WTD
1 Less than a high school diploma 168 6,912
2 High school diploma or graduation equivalency 1,080 34,681
3 Some post-secondary (no certificate, diploma or degree) 176 4,071
4 Private business school or commercial school certificate or diploma 57 1,579
5 College, CEGEP, trade/vocational certificate or diploma or registered apprenticeship 1,424 43,758
6 University bachelor's degree (e.g., B.A., B.Sc., B.Ed.) 1,076 27,429
7 University first professional degree (e.g., medicine, dentistry, veterinary medicine, law, optometry, divinity) 54 1,501
8 University Master's degree 135 4,161
9 Ph.D (University earned doctorate) 17 259
10 Other - Specify 30 833
96 Valid skip 6,534 212,451
97 Don't know 17 610
98 Refused 4 58
99 Not stated 354 10,177
Total 11,126 348,481

Coverage: Respondents who were living common-law or married at the time of interview.


Variable Name: U6Q59
Position: 838
Length: 1

In December 2009, did you usually live in ...?

Table 516
  Response FREQ WTD
1 a school residence 82 2,843
2 a house, apartment or other private dwelling (Private dwellings do not include boarding houses, group homes, or other institutions.) 10,635 333,572
3 Other - Specify 59 1,992
8 Refused 9 272
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.
Note: Reference period: ^RefPerEng04.


Variable Name: U6Q60A
Position: 839
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Nobody else/ lives alone

Table 517
  Response FREQ WTD
1 Yes 1,601 45,159
2 No 9,169 293,130
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60B
Position: 840
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Birth mother

Table 518
  Response FREQ WTD
1 Yes 2,405 97,892
2 No 8,365 240,397
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60C
Position: 841
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Step mother, adoptive mother, or foster mother

Table 519
  Response FREQ WTD
1 Yes 51 2,287
2 No 10,719 336,002
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60D
Position: 842
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Birth father

Table 520
  Response FREQ WTD
1 Yes 2,103 83,645
2 No 8,667 254,644
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60E
Position: 843
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Step father, adoptive father, or foster father

Table 521
  Response FREQ WTD
1 Yes 91 3,480
2 No 10,679 334,809
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60F
Position: 844
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Your sister(s) or brother(s) (includes step-, half- and adopted)

Table 522
  Response FREQ WTD
1 Yes 1,537 61,094
2 No 9,233 277,195
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60G
Position: 845
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Your partner (e.g. spouse, girlfriend or boyfriend)

Table 523
  Response FREQ WTD
1 Yes 4,478 129,983
2 No 6,292 208,306
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60H
Position: 846
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Your own child(ren)

Table 524
  Response FREQ WTD
1 Yes 1,541 46,000
2 No 9,229 292,289
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60I
Position: 847
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Grandparent(s)

Table 525
  Response FREQ WTD
1 Yes 102 4,086
2 No 10,668 334,203
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60J
Position: 848
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Other relatives (e.g. mother-in-law, uncle, cousin)

Table 526
  Response FREQ WTD
1 Yes 246 8,182
2 No 10,524 330,107
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q60K
Position: 849
Length: 1

Who usually lived there with you? Include those who may be away for reasons such as attending school, visiting others or travelling....Non-relatives (e.g. friends, housemates, other students)

Table 527
  Response FREQ WTD
1 Yes 1,861 53,291
2 No 8,909 284,998
7 Don't know 2 34
8 Refused 13 357
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: All respondents.


Variable Name: U6Q61
Position: 850
Length: 1

Do you consider yourself to have moved out permanently from the home of your parents or guardians?

Table 528
  Response FREQ WTD
1 Yes 7,638 214,431
2 No 542 17,986
6 Valid skip 2,587 105,691
7 Don't know 8 283
8 Refused 10 289
9 Not stated 341 9,801
Total 11,126 348,481

Coverage: Respondents who were not living with parent(s)/guardian(s) in December 2009.


Section: Derived Variables

Variable Name: CITZEND6
Position: 851
Length: 2

Derived variable: This variable updates the information on citizenship collected in the previous cycle. It is possible that respondents may have obtained Canadian citizenship or acquired or relinquished citizenship from other countries.

Table 529
  Response FREQ WTD
1 Canada, by birth 10,300 307,320
2 Canada, by naturalization (citizenship process) 292 18,725
3 Canada, by birth and other 223 8,339
4 Canada, by naturalization and other 167 10,470
5 Other 18 991
99 Not stated 126 2,637
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: PD3P11, PD3P12, PD3P13, PD3P14 (parent questionnaire: cycle 1, cohort 1), V3_1, V3_2, V3_3, V3_4 (cycle 1, cohort 2), U2Q01A, U2Q01B, U2Q01C, CITZEND2 (cycle 2), U3Q01A, U3Q01B, U3Q01C, CITZEND3 (cycle 3), U4Q01A, U4Q01B, U4Q01C, U4Q01D (cycle 4), U5Q01A, U5Q01B, U5Q01C, U5Q01D (cycle 5) and U6Q01A, U6Q01B, U6Q01C, U6Q01D (cycle 6).
Where discrepancies existed between cycles, overall the approach was to give priority to Responses from cycle 1. In cycle 1, this information was asked on the parent questionnaire for cohort A.


Variable Name: LANIMMD6
Position: 853
Length: 1

Derived variable: Indicates whether or not respondents who are not Canadian by birth have ever been a landed immigrant.

Table 530
  Response FREQ WTD
1 Yes 419 27,951
2 No 55 2,148
6 Valid skip 10,523 315,658
9 Not stated 129 2,725
Total 11,126 348,481

Coverage: Respondents who reported that they were not Canadian by birth.
Note: This variable was derived from the variables: CITZEND6, LANIMMD5 and U6Q02.


Variable Name: AGMPD6
Position: 854
Length: 2

Derived variable: Respondent's age, in years, at time of moving out permanently from the home of parents or guardians.

Allowed values: 00 : 25

Table 531
  Response FREQ WTD
5:25 Age (in years) 7,508 209,473
95 Moved out previous cycle 0 0
96 Valid skip 3,129 123,677
99 Not stated 489 15,331
Total 11,126 348,481

Coverage: Respondents who reported that they have moved out permanently from the home of their parents or guardians as of December 2009.
Note: This variable was derived from the variables: BMONTHD6, BYEARD6, U6Q60 (A to K), U6Q61, U6Q62M and U6Q62Y.
The earliest year a respondent could report moving out was 1989.


Variable Name: MARSTAD6
Position: 856
Length: 2

Derived variable: Marital status.

Table 532
  Response FREQ WTD
1 Single, never married 6,422 209,089
2 Married 1,877 48,795
3 Living common-law or with a partner 2,361 77,058
4 Separated 73 1,996
5 Widowed 4 246
6 Divorced 35 1,121
99 Not stated 354 10,177
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variable: U6Q09.
Marital status was collected as of the time of interview.


Variable Name: SPINDD6
Position: 858
Length: 4

Derived variable: 4 digit industry code (NAICS 1997) for spouse's job.

Table 533
  Response FREQ WTD
1100 : 9141 NAICS codes 3,401 99,377
9996 Valid skip 7,342 237,859
9999 Not stated 378 11,122
XXXX Unclassified 5 123
Total 11,126 348,481

Coverage: Respondents who reported a partner/spouse.
Note: This variable was derived from the variables: U6Q09, U6Q43, U6Q44, U6Q45, U6Q46 and U6Q47.


Variable Name: SPINDRD6
Position: 862
Length: 2

Derived variable: 2 digit industry code (NAICS 1997) for spouse's job.

Table 534
  Response FREQ WTD
1 Agriculture 79 2,343
2 Forestry, Fishing, Oil, Gas 190 3,902
3 Utilities 47 1,536
4 Construction 424 13,904
5 Manufacturing 272 8,963
6 Trade 402 12,583
7 Transportation, Warehousing 129 4,157
8 Finance, Insurance, Real Estate, Leasing 169 4,742
9 Professional, Scientific and Technical Services 243 7,854
10 Management, Administrative, Other Support 99 2,560
11 Education Services 244 5,793
12 Health Care, Social Assistance 363 11,308
13 Information, Culture, Recreation 147 4,876
14 Accommodation, Food Services 148 4,285
15 Other Services 167 4,602
16 Public Administration 278 5,967
17 Unclassified 5 123
96 Valid skip 7,342 237,859
99 Not stated 378 11,122
Total 11,126 348,481

Coverage: Respondents who reported a partner/spouse.
Note: This variable was derived from the variable: SPINDD6.


Variable Name: SPOCCD6
Position: 864
Length: 4

Derived variable: 4 digit occupation code (SOC 1991) for spouse's job.

Table 535
  Response FREQ WTD
Response: SOC Codes 3,394 99,303
9996 Valid skip 7,342 237,859
9999 Not stated 378 11,122
XXXX Unclassified 12 197
Total 11,126 348,481

Coverage: Respondents who reported a partner/spouse.
Note: This variable was derived from the variables: U6Q09, U6Q43, U6Q44, U6Q45, U6Q46 and U6Q47.
Response= Minimum A011 and Maximum J319.


Variable Name: SPOCCRD6
Position: 868
Length: 2

Derived variable: 2 digit occupation code (SOC 1991) for spouse's job.

Table 536
  Response FREQ WTD
1 Management 190 6,136
2 Business, Finance and Administrative 465 12,295
3 Natural and Applied Sciences 337 9,701
4 Health 256 7,643
5 Social Science, Education, Government Service, and Religion 300 8,369
6 Art, Culture, Recreation and Sport 120 3,634
7 Sales and Service 622 19,046
8 Trades, Transport and Equipment Operators 746 22,550
9 Primary Industry 199 4,837
10 Processing, Manufacturing and Utilities 159 5,090
11 Unclassified 12 197
96 Valid skip 7,342 237,859
99 Not stated 378 11,122
Total 11,126 348,481

Coverage: Respondents who reported a partner/spouse.
Note: This variable was derived from the variable: SPOCCD6.


Variable Name: DEPCHD6
Position: 870
Length: 2

Derived variable: Number of dependent children.

Allowed values: 00 : 93

Table 537
  Response FREQ WTD
0 No dependent children 9,141 289,560
1:05 Number of dependent children 1,644 49,126
99 Not stated 341 9,795
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: U6Q37B and U6Q38.


Variable Name: LCCCD6
Position: 872
Length: 2

Derived variable: Language(s) spoken well enough to conduct a conversation.

Table 538
  Response FREQ WTD
1 English only 6,016 177,857
2 French only 468 23,612
3 Non-official language(s) only 11 485
4 English and French only 3,090 79,661
5 English and non-official language 668 38,799
6 French and non-official language 6 429
7 English, French and non-official language 519 17,620
99 Not stated 348 10,019
Total 11,126 348,481

Coverage: All respondents.
Note: This variable was derived from the variables: U6Q03 (A to S).


Section: Income Derived Variables

Variable Name: INCEID6
Position: 874
Length: 8

Derived variable: Income received in 2009 from Employment Insurance benefits.

Table 539
  Response FREQ WTD
00000000 : 00026000 EI Benefits-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCEISD6
Position: 882
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from Employment Insurance benefits.

Table 540
  Response FREQ WTD
00000000 : 00026000 EI Benefits-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCGSD6
Position: 890
Length: 8

Derived variable: Income received in 2009 from other government sources such as Worker's Compensation or Canada Pension Plan or Quebec Pension Plan.

Table 541
  Response FREQ WTD
00000000 : 00039400 Other government sources-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCGSSD6
Position: 898
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from other government sources such as Worker's Compensation or Canada Pension Plan or Quebec Pension Plan.

Table 542
  Response FREQ WTD
00000000 : 00036000 Other government sources-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCNRD6
Position: 906
Length: 8

Derived variable: Income received in 2009 from parents or other people that did not have to be repaid (excludes loans).

Table 543
  Response FREQ WTD
00000000 : 00050000 Parents/Others-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCNRSD6
Position: 914
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from parents or other people that did not have to be repaid (excludes loans).

Table 544
  Response FREQ WTD
00000000 : 00050000 Parents/Others-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCOND6
Position: 922
Length: 8

Derived variable: Income received in 2009 from other non-government sources including income from dividends, interest and other investment income, employer pensions, annuities or rental income.

Table 545
  Response FREQ WTD
00000000 : 00400000 Other non-government sources-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCONSD6
Position: 930
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from other non-government sources including income from dividends and other investment income, employer pensions, annuities or rental income.

Table 546
  Response FREQ WTD
00000000 : 00085000 Other non-government sources-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCSCD6
Position: 938
Length: 8

Derived variable: Income received in 2009 from spousal support or child support.

Table 547
  Response FREQ WTD
00000000 : 00033175 Spousal or child support-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCSCSD6
Position: 946
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from spousal support or child support.

Table 548
  Response FREQ WTD
00000000 : 00030000 Spousal or child support-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCSED6
Position: 954
Length: 8

Derived variable: Income received in 2009 from self-employment.

Table 549
  Response FREQ WTD
00000000 : 00500000 Self-employment-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCSESD6
Position: 962
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from self-employment.

Table 550
  Response FREQ WTD
00000000 : 00700000 Self-employment-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCSGD6
Position: 970
Length: 8

Derived variable: Income received in 2009 from scholarships, grants or bursaries.

Table 551
  Response FREQ WTD
00000000 : 00025000 Scholarships, etc.-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCSGSD6
Position: 978
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from scholarships, grants or bursaries.

Table 552
  Response FREQ WTD
00000000 : 00025000 Scholarships, etc.-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCSPD6
Position: 986
Length: 8

Derived variable: Income received in 2009 from Social Assistance or Provincial Income Supplements.

Table 553
  Response FREQ WTD
00000000 : 00022800 Social assistance-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCSPSD6
Position: 994
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from Social Assistance or Provincial Income Supplements.

Table 554
  Response FREQ WTD
00000000 : 00026000 Social assistance-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCSTD6
Position: 1002
Length: 8

Derived variable: Income received in 2009 from the Goods and Services Tax Credit (GST) or Harmonized Sales Tax Credit (HST) or Quebec Sales Tax Credit (QST).

Table 555
  Response FREQ WTD
00000000 : 00002000 GST/HST/QST-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCSTSD6
Position: 1010
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from the Goods and Services Tax Credit (GST) or Harmonized Sales Tax Credit (HST) or Quebec Sales Tax Credit (QST).

Table 556
  Response FREQ WTD
00000000 : 00002000 GST/HST/QST-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCTBD6
Position: 1018
Length: 8

Derived variable: Income received in 2009 from Canada Child Tax Benefit or provincial child tax benefits or credits.

Table 557
  Response FREQ WTD
00000000 : 00022800 Canada Child Tax-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCTBSD6
Position: 1026
Length: 8

Derived variable: Income respondent's spouse or partner received in 2009 from Canada Child Tax Benefit or provincial child tax benefits or credits.

Table 558
  Response FREQ WTD
00000000 : 00024000 Canada Child Tax-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: INCWSD6
Position: 1034
Length: 8

Derived variable: Income received in 2009 from wages and/or salaries.

Table 559
  Response FREQ WTD
00000000 : 00600000 Wages/Salaries-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents.
Note: This variable may include imputed values.


Variable Name: INCWSSD6
Position: 1042
Length: 8

Derived variable: Income that respondent's spouse or partner received in 2009 from wages and/or salaries.

Table 560
  Response FREQ WTD
00000000 : 01000000 Wages/Salaries-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Variable Name: TINCD6
Position: 1050
Length: 8

Derived variable: Total 2009 income from all sources before taxes and deductions.

Table 561
  Response FREQ WTD
00000000 : 00601200 Total income from all sources-respondent 11,011 346,247
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: All respondents
Note: This variable may include imputed values.


Variable Name: TINCSD6
Position: 1058
Length: 8

Derived variable: Total 2009 income for respondent's spouse or partner from all sources before taxes and deductions.

Table 562
  Response FREQ WTD
00000000 : 01000000 Total income from all sources-spouse 4,238 125,853
99999996 Valid skip 6,773 220,395
99999999 Not stated 115 2,234
Total 11,126 348,481

Coverage: Respondents who had a partner or spouse in 2009.
Note: This variable may include imputed values.


Section: Decease6

Variable Name: DECEASE6
Position: 1066
Length: 1

Respondents deceased on or before December 31st, 2009.

Table 563
  Response FREQ WTD
N No 11,011 346,247
Y Yes 115 2,234
Total 11,126 348,481

Section: Weight

Variable Name: Weight
Position: 1067
Length: 9.4

Weight : decimal in 4th byte of the field.

Allowed values: 1.0794: 189.4970

1.0794: 189.4970

Canadian Community Health Survey (CCHS) – Annual component

User guide 2010 and 2009-2010 Microdata files

June 2011

What’s new in the 2010 Canadian Community Health Survey?

Content

There have been a few changes to existing modules in the Canadian Community Health Survey (CCHS) content in 2010. Also, new modules were introduced for one year as part of the 2010 common content.

Changes

  • Contact with health care processional (CHP). This module was moved from common annual content to common 1-year content in 2010.
  • Unmet health care needs (UCN) This module was reintroduced in the survey in 2010 in the 1-year common content after having been suspended since 2007. Although the module name is new, the questions included in this module used to be part of the Health care utilisation (HCU) module.
  • The sub-module on Chronic fatigue syndrome, multiple chemical sensitivities and fibromyalgia was included in the Chronic conditions (CCC) module. The last time these three chronic conditions had been asked was in the 2005 CCHS.

New modules

  • Loss of productivity due to health issues (LOP): This new module was developed in replacement of the two week disability (TWD) module.
  • Neurological conditions (NEU): This new module was introduced in 2010 as a 1-year common content to be repeated in 2011. Respondents or persons in their household identified with a neurological condition will be contacted for a follow-up survey on neurological conditions in Canada.
  • H1N1 flu shot (H1N1): This new module collected in the 2010 survey only provides information on whether or not respondents have received the H1N1 flu shot in the past 12 months.

Methodology

  • The 2010 CCHS used three sampling frames to select the sample of households: 49.5% of the sample of households came from an area frame, 49.5% came from a list frame of telephone numbers and the remaining 1% came from a Random Digit Dialling (RDD) sampling frame. However, for the last two collection periods of 2010, 40.5% of the sample came from the area frame, 58.5% from the list frame of telephone numbers and 1% from the RDD frame. The transfer of sample from the area frame to the list frame was done to reduce collection costs.
  • Starting with the 2010 and 2009–2010 datasets, the 2006 Census population counts have been used to produce the population projection counts. These counts are used to ensure that the CCHS survey weights and resulting estimates are consistent with known population totals. Prior to 2010, 2001 Census population counts were used. Evaluation studies have confirmed that the impact of this change on CCHS estimates should be minimal.

Collection

  • In 2009, interviewers were asked to obtain verbal permission from parents/guardians to interview youths between the ages of 12 to 15 who were selected for interviews. In 2010, the Parental Consent block (PGC) was added into the collection applications. The addition of this block formalizes the process of requesting permission from the parent or guardian (given one exists in the household) of a 12 to15 year old to complete the survey.
  • Prior to 2010, interviewers were instructed to ask modules including household level questions to the person most knowledgeable (PMK) about the household. In 2010, a formal block was included in the application to do the transition between respondents aged 12 to 15 to the PMK. Household level information asked at the end of the survey (Home Safety, Insurance coverage, Food Security, Neurology conditions, Education, Income and Administration) are now answered by the most knowledgeable person in the household.

Geography

  • In 2010, the definition of health regions (HR) in Alberta was modified between the time of sampling and the creation of the data files. There are now five HRs in Alberta, which are simple aggregations of the nine HRs that were defined at the time of sampling. As a result of this, the total of health regions went from 121 in 2009 to 117 in 2010.

1.0 Introduction

The Canadian Community Health Survey (CCHS) is a cross–sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It surveys a large sample of respondents and is designed to provide reliable estimates at the health region level. In 2007, major changes were made to the CCHS design. Data is now collected on an ongoing basis with annual releases, rather than every two years as was the case prior to 2007. The survey’s objectives were also revised and are as follows:

  • support health surveillance programs by providing health data at the national, provincial and intra–provincial levels;
  • provide a single data source for health research on small populations and rare characteristics;
  • timely release of information easily accessible to a diverse community of users; and
  • create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population.

Details of the other redesign changes are provided in section 3.

The CCHS data is always collected from persons aged 12 and over living in private dwellings in the 117 health regions covering all provinces and territories. Excluded from the sampling frame are individuals living on Indian Reserves and on Crown Lands, institutional residents, full-time members of the Canadian Forces, and residents of certain remote regions. The CCHS covers approximately 98% of the Canadian population aged 12 and over.

The purpose of this document is to facilitate the manipulation of the CCHS microdata files and to describe the methodology used. The CCHS produces three types of microdata files: master files, share files and public use microdata files (PUMF). The characteristics of each of these files are presented in this guide. The PUMF is released every two years and contains two years of data. The next PUMF file will be released in September 2011 and will include the data collected for the years 2009 and 2010.

Any questions about the data sets or their use should be directed to:

Electronic Products Help Line: 1–800–949–9491

For custom tabulations or general data support:
Client Custom Services, Health Statistics Division: 613–951–1746
E–mail: hd–ds@statcan.gc.ca

For remote access support: 613–951–1746
E–mail: cchs–escc@statcan.gc.ca
Fax: 613–951–0792

2.0 Background

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. The members felt that data was fragmented; incomplete, could not be easily shared, was not being analysed to the fullest extent, and the results of research were not consistently reaching Canadians.1

In responding to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The format, content and objectives of the CCHS evolved through extensive consultation with key experts and federal, provincial and community health region stakeholders to determine their data requirements.2

To meet many data requirements, the CCHS had a two–year data collection cycle. Until the redesign in 2007, the first year of the survey cycle, designated by ".1", was a general population health survey, designed to provide reliable estimates at the health region level. The second year of the survey cycle, designated by ".2", had a smaller sample and was designed to provide provincial level results on specific health topics.

New designations for Cycles .1 and .2

As of 2007, the regional component of the CCHS program began being collected on an ongoing basis. To avoid confusion with the health focused surveys, the two components stopped using the “.1” and “.2” designations to distinguish them. Henceforth, the x.1 cycles of the CCHS are designated as "the annual component" of the CCHS. The full title is "The Canadian Community Health Survey – Annual component, 2009" and the short title is simply "CCHS – 2009". The focused content component of the survey remains unchanged. It will continue to examine in greater detail more specific topics or populations. It will be designated by the name of the survey followed by the topic of the themes covered by each survey (example, “Canadian Community Health Survey on Healthy Aging” or “CCHS – Healthy Aging”).

3.0 CCHS Redesign in 2007

Until 2005, the CCHS data were collected every two years over a one year period and released every two years, about six months after the end of the collection period. There were two main objectives for the 2007 CCHS redesign: to address the needs of partners to increase the survey’s content and the frequency of data releases, and to ensure better use of operational resources. For these reasons, the proposed changes to the CCHS design focused on improving the survey’s efficiency and flexibility through ongoing data collection.

Extensive consultations were held across Canada with key experts and federal, provincial and health region stakeholders to gather input on the proposed changes and detailed information on the data requirements and products of the various partners.

Below are the main changes arising from the CCHS redesign:

  • In the past, the CCHS data were collected from 130,000 respondents over a 12–month period. Now, data collection takes place on an ongoing basis. The sample, which retains the same size, is divided into 12 two–month collection periods. Each collection period is representative of the population living in the ten Canadian provinces during the two months. For operational reasons, the sample in the territories is representative of their population after 12 months.
  • The common content component is divided into three: the annual common content (previously referred to as core content), the one year and two-year common content (previously referred to as theme content). The one year common content is asked for one year and re-introduced every two or four years. The two year common content is asked for two years and re-introduced every four years. The two year and one year common content was created to take advantage of the continuous collection approach. The data collection time for this component can be adjusted based on the prevalence of the desired estimates and their geographic level. The annual common content will remain relatively stable over time. At the discretion of the provinces and regions, the optional content can also be adjusted on an annual basis, rather than every two years.
  • Content and collection changes inevitably impact the dissemination strategy. Previously, data were released every two years. Since 2008, CCHS data are released annually. Every two years, a file combining the two years’ sample (130,000 respondents) is also be released. In addition to these regular files, other special files will be made available when additional content has been collected during collection periods that do not correspond to the standard annual periods, which is January to December.
  • The annual data collection is divided into six two–month periods. Unlike the previous collection strategy, these periods no longer overlap, which provides more efficient oversight of collection and offers the possibility of changing the collection interface every two months, if necessary.

4.0 Content Structure of the CCHS

In addition to socio–demographic and administrative data, the content of the CCHS includes three components, each of which addresses a different need: the common content component comprising the annyal common content, the two year and one year common content, the optional content component, and the rapid response component. AppendixA lists the modules included in the 2009 and 2100 questionnaire by component.

The average length of a CCHS interview is estimated at 40 to 45minutes.

Table 4.1 Length of survey by component
CCHS component Average interview time
Common content
  • Annual
  • One and two-year
30 minutes
(20 minutes)
(5 minutes)
Optional content 10 minutes
Rapid response content (optional) 2 minutes

4.1 Common content

The CCHS common content component includes questions asked of respondents in all provinces and territories (unless otherwise specified). It is divided into three components: the annual common content, one-year and two year common content.

The annual common content consists of questions asked of all survey respondents. These questions will remain relatively stable in the questionnaire for a period of about six years, unless a major concern is raised about quality.

The one year and two-year common content (previously called theme content) comprises questions related to a specific topic. Combined, the two year and one year common content take about 10 minutes of the interview time. Modules comprising this content type could be reintroduced in the survey every two, four or six years, if required. This component enables CCHS to better plan its content in the medium term.

Some of the modules in the one year common content may be asked of a sub sample of respondents if the objective of these questions is to provide reliable data at the national or provincial level, rather than at the health region level. This approach is used to minimize the related response burden and costs.

4.2 Optional content

The optional content component gives health regions the opportunity to select content that addresses their provincial or regional public health priorities. The optional content is selected from a long list of modules available for inclusion in the CCHS. The content modules selected by a region are asked only of residents in the regions that selected these modules. In reality, since 2005 (cycle 3.1), the regions and provinces have opted to coordinate the optional content selected in order to ensure a uniform selection of optional modules provincially. The optional content may vary annually depending on needs and must be reviewed every two years.

It should be noted that, unlike the modules included in the common content, the resulting data from the optional content modules is not easily generalized across Canada3.

Appendix B presents the selection results of the optional content for the current year by province of residence.

4.3 Rapid response content

The rapid response component is offered on a cost–recovery basis to organizations interested in obtaining national estimates on an emerging or specific topic related to the health of the population. The rapid response content takes a maximum of two minutes of interview time. The questions appear in the questionnaire for a single collection period (two months) and are asked of all CCHS respondents during that period.

4.4 Content included in data files

The survey produces different data files:

  • one year reference period
  • combined two years reference periods and
  • one year sub-sample data files.

Table 4.2 provides clarification about the data files available for the 2009 and 2010 CCHS.

One year data files

The survey produces data files every year. In June 2010, an annual file based on the 2009 reference period has been released. It includes respondents from the 2009 data collection and variables from the common annual content, common one year content, common two year content as well as optional content.

Two year data files

Every two years, a file combining the most recent two years is released. A combined file also to be released in June 2011 contains data from 2009 and 2010. The following two year file is scheduled to be released in 2013, and will include both the 2011 and 2012 reference years.

The two-year data file includes all respondents and the questions that were in the survey over the two year reference period. Unless otherwise specified, it is the question component from the common annual and two-year content and selected optional content over the two year period. The one-year common content and optional content selected for one year only are not available in the two-year data file.

Sub-sample data files

Any modules collected from a sub-sample of the population will continue to be disseminated in separate files. These files include the annual and one year common content collected from a sub-sample of respondents. Sub-sample files have been released as follow:

Year Modules
2000 Waiting times and Access to health care services
2003 Dental visits, Driving and safety, Health utility index, Medication use, Oral health 2
2005 Waiting times, Access to health care services, Patient satisfaction, Health Utility Index, Measured height and weight, Fruit and vegetable consumption, Labour force – long form
2007 Waiting times, Access to health care services and Patient satisfaction
2008 Measured height and weight
2009 Waiting times, Access to health care services
Table 4.2 Content components included in 2009 and 2010 data files
Files Annual common content 2009 one year common content1 2010 one year common content2 2009-2010 two-year common content Optional content3
2009 Main Sub-sample
(2 modules)
Yes
Yes
No
Yes
N/A
N/A
Yes
No
Yes
No
2010 Main Yes N/A Yes Yes Yes
2009-2010 Main Yes No No Yes Yes
  1. The 2009 annual common content was comprised of two modules (Access to health care services and Waiting times) which were all asked to a sub-sample of respondents.
  2. The 2010 annual common content will include a group of modules related to chronic disease screening.
  3. Optional content will be included in the 2009–2010 data file (to be released in 2011) if it is asked of respondents in a province during the two year period. Otherwise, it will only be included in the file of the year in which it was collected. Note that if an annual common content module from one year is selected for the optional content of a jurisdiction during the second year, the module will be included in the two-year data file and will be processed as optional content.

5.0 Sample design

5.1 Target population

The CCHS targets persons aged 12 years and older who are living in private dwellings in the ten provinces and three territories. Persons living on Indian Reserves or Crown lands, those residing in institutions, full–time members of the Canadian Forces and residents of certain remote regions are excluded from this survey. The CCHS covers approximately 98% of the Canadian population aged 12 and older.

5.2 Health regions

For administrative purposes, each province is divided into health regions (HR) and each territory is designated as a single HR. Statistics Canada is sometimes asked to make minor changes to the boundaries of some of the HRs to correspond to the geography of the Census, or to better account for the health data needs determined by the new geographic boundaries. For CCHS 2010, data was collected in 114 HRs in the ten provinces, as well as to one HR per territory, totalling 117 HRs (Appendix C).

In 2010, the definition of HRs in Alberta was modified between the time of sampling and the creation of the data files. There are now 5 HRs in Alberta, which are simple aggregations of the 9 HRs that were defined at the time of sampling4. The current chapter on sample design, as well as the figures on sample sizes provided in Appendix D and Appendix F, refer to the 9 HRs as they were defined at the time of sampling.

5.3 Sample size and allocation

To provide reliable estimates for each HR given the budget allocated to the CCHS component, it was determined that the survey should consist of a sample of nearly 130,000 respondents over a period of 2 years. Although producing reliable estimates for each HR was a primary objective, the quality of the estimates for certain key characteristics at the provincial level was also deemed important. Therefore, the sample allocation strategy, consisting of three steps, gave relatively equal importance to the HRs and the provinces. In the first step, a minimum size of 500 respondents per HR was imposed. This is considered the minimum for obtaining a reasonable level of data quality. However, due to response burden, a maximum sampling fraction of 1 out of 20 dwellings was imposed to avoid sampling too many dwellings in smaller regions also targeted by other surveys. Note that very few HRs have a size lower than 500 due to limit of the sampling fraction. In this first step, 60,350 units were allocated in total. The second step involves allocating the rest of the available sample by using an allocation proportional to the population size by province. The total sample size by province is therefore the sum of the sizes established by the two first steps. This sample allocation strategy was used for CCHS 2005 and the sample sizes have remained mainly the same since then. The sample was then divided evenly between the 2 collection years. Table 5.1 gives the annual sample size for 2010 and the total sample size for 2009-2010.

Table 5.1 Number of health regions and targeted sample sizes by province/territory, 2010 and 2009–2010
Province Number of HRs Targeted sample size 2010 Targeted sample size 2009–2010
Newfoundland and Labrador 4 2,005 4,010
Prince Edward Island 3 1,001 2,002
Nova Scotia 6 2,520 5,041
New Brunswick 7 2,575 5,150
Quebec 16 12,144 24,289
Ontario1 36 22,207 44,379
Manitoba 10 3,750 7,500
Saskatchewan 11 3,860 7,720
Alberta 9 6,100 12,200
British Columbia 16 8,050 16,095
Yukon 1 600 1,200
Northwest Territories 1 600 1,200
Nunavut 1 350 700
Canada 121 65,762 131,486
  1. The sample size for Ontario includes the buy–in extra sample by LHIN. The initial sample size for Ontario before the buy–in was 20,880 units (refer to section 5.7 for further details).

In the third step, the provincial sample was allocated among its HRs proportionally to the square root of the estimated population in each HR. This three–step approach gives sufficient sample for each HR with minimal disturbance to the proportionality of the allocation by province.

Note that the three territories were not part of the above allocation strategy as they were dealt with separately. Each year, 600 sample units were allocated to the Yukon, 600 to the Northwest Territories and 350 to Nunavut. These sizes are determined according to the available budget. The sample allocation for the territories is done proportionally to the population sizes of the strata. The strata used were the same as those defined by the Labour Force Survey (LFS), which group together communities (for more details, see section 5.4.1).

The sample was then divided between the area frame and the list frame5, as described in the next section. We should finally mention that the size of the samples taken from each frame was increased before data collection in order to account for the anticipated out-of-scope and non-response rates based on the rates obtained in previous CCHS cycles. The sample sizes by HR and frame are provided in Appendix D for 2010 and in Appendix F for 2009–2010.

5.4 Frames, household sampling strategies

The CCHS used three sampling frames to select the sample of households: 49.5% of the sample of households came from an area frame, 49.5% came from a list frame of telephone numbers and the remaining 1% came from a Random Digit Dialling (RDD) sampling frame. This describes the usual strategy for the CCHS. For the last two collection periods of 2010, 40.5% came from the area frame, 58.5% from the list frame of telephone numbers and 1% from the RDD frame. The transfer of sample from the area frame to the list frame was done to reduce collection costs.

5.4.1 Sampling of households from the area frame

The CCHS used the area frame designed for the Canadian Labour Force Survey (LFS) as a sampling frame. The sampling plan of the LFS is a multistage stratified cluster design in which the dwelling is the final sampling unit6. In the first stage, homogeneous strata are formed and independent samples of clusters are drawn from each stratum. In the second stage, dwelling lists are prepared for each cluster and dwellings, or households, are selected from these lists.

For the purpose of the LFS plan, each province is divided into three types of regions: major urban centres, cities, and rural regions. Geographic or socio–economic strata are created within each major urban centre. Within the strata, between 150 and 250 dwellings are grouped together to create clusters. Some urban centres have separate strata for apartments or for census Dissemination Areas (DA) to pinpoint households with high income, immigrants and aboriginals. In each stratum, six clusters or residential buildings (sometimes 12 or 18 apartments) are chosen by a random sampling method with a probability proportional to size (PPS), the size of which corresponds to the number of households. The number six is used throughout the sample design to allow for one sixth of the LFS sample to be rotated each month.

The other cities and rural regions of each province are stratified first on a geographical basis, then according to socio–economic characteristics. In the majority of strata, six clusters (usually census DAs) are selected using the PPS method. Some geographically isolated urban centres are covered by a three–stage sampling design. This type of sampling plan is used for Quebec, Ontario, Alberta and British Columbia.

Once the new clusters are listed, the sample is obtained using a systematic sampling of dwellings. The sample size for each systematic sample is called the “yield”. Table 5.2 gives an overview of the types of PSUs used in the LFS sample and the yield predicted by systematic sample. As the sampling rates are determined in advance, there is frequently a difference between the expected sample size and the numbers that are obtained. The yield of the sample, for example, is sometimes excessive. This can particularly happen in sectors where there is an increase in the number of dwellings due to new construction. To reduce the cost of collection, an excessive output is corrected by eliminating, from the beginning, a part of the units selected and by modifying the weight of the sample design. This change is dealt with during weighting.

Table 5.2 Major first–stage units, sizes and yields
Area Primary Sampling Unit (PSU) Size (households per PSU) Yield (sampled households)
Toronto, Montreal, Vancouver Cluster 150–250 6
Other cities Cluster 150–250 8
Most rural areas / small urban centres Cluster 100–250 10

Due to the specific of the CCHS, some modifications had to be incorporated in this sampling strategy. To obtain an annual sample of about 32,000 respondents for a given year of CCHS, close to 48,000 dwellings had to be selected from the area frame to account for vacant dwellings and non-responding households. Each month, the LFS design provides approximately 60,000 dwellings distributed across the various economic regions in the ten provinces, whereas the CCHS required 48,000 dwellings distributed across the HRs, which have different geographic boundaries from those of the LFS economic regions. Overall, the CCHS required a lower number of dwellings than those generated by the LFS selection mechanism, which corresponds to an adjustment factor of 0.80 (48,000/60,000). However, since the adjustment factors varied from 0.3 to 3.0 at the HR level, certain adjustments were required.

The changes made to the selection mechanism in the regions varied depending on the size of the adjustment factors. For HRs that had a factor smaller than or equal to 1, the number of PSUs selected was reduced if necessary. For example, if the factor was 0.5 then only 3 PSUs were selected in each stratum instead of the usual number of 6 PSUs. For those HRs with a factor greater than 1 but smaller than or equal to 2, the sampling process of dwellings within a PSU was repeated for a subset of the selected PSUs that were part of the same HR. For example, if the factor was 1.6 then the selection of dwellings within a PSU was repeated for 4 of the 6 PSUs in all strata of that HR. When it was necessary to have a repeated selection of dwellings within a PSU and there were no more dwellings available in that PSU, then another PSU was selected. When the factor was greater than 2, the sampling process of dwellings was repeated among other PSUs that were part of the same HR7.

Finally, when the number of dwellings available in the selected PSUs was greater than the requested number of dwellings for a given HR, a sub–sample of dwellings was selected. This process is called ‘stabilization’.

Sampling of households from the area frame in the three territories

For operational reasons, the LFS area frame sample design for the three territories was different. For each territory, the larger communities each have their own stratum while smaller communities are grouped into strata based on various characteristics (population, geographical information, proportion of Inuit and/or Aboriginal persons, and median household income). The LFS defined five design strata in the Yukon, ten in the Northwest Territories and seven in Nunavut. For strata consisting of a group of communities, the first stage of selection consisted of randomly selecting one community with a probability proportional to population size within each design stratum. Then, within the selected community, the second stage consisted of selecting households using the same sampling strategy as the one described above. The CCHS selected its sample from the same communities sampled by the LFS, while ensuring that different dwellings were selected. If too many or too few dwellings were available for a community within a stratum, another community was selected for the CCHS. For larger communities with their own stratum, only one stage design was necessary where households were selected directly using the same sampling strategy described above.

It is worth mentioning that the frame for the CCHS covered 90% of the private households in the Yukon, 97% in the Northwest Territories and 71% in Nunavut8.

5.4.2 Sampling of households from the list frame of telephone numbers

With the exception of 5 HRs (the two RDD-only HRs and the three territories), the list frame of telephone numbers was used in all HRs to complement the area frame. The list frame consists of the Canada Phone directory which is an external administrative database of names, addresses and telephone numbers from telephone directories in Canada updated every six months. It was linked to administrative postal code conversion files to map each telephone number to a stratum. Within each stratum, the required number of telephone numbers was selected using a simple random sampling process from the list. As for the RDD frame, additional telephone numbers were selected to account for the numbers not in service or out-of-scope.

It is important to mention that the undercoverage of the list frame is higher than the one for the RDD as unlisted numbers do not have a chance of being selected. Nevertheless, as the list frame is always used as a complement to the area frame, the impact of the undercoverage of the list frame is minimal and is dealt with during weighting.

5.4.3 Sampling of households from the Random Digit Dialing frame of telephone numbers

In four HRs, a Random Digit Dialing (RDD) sampling frame of telephone numbers was used to select a sample of households. The sampling of households from the RDD frame used the Elimination of Non-Working Banks (ENWB) method, a procedure adopted by the General Social Survey9. A bank of one hundred telephone numbers (the first eight digits of a ten-digit telephone number) is considered to be non-working if it does not contain any residential telephone numbers. At first, the frame consists of a list of all possible banks and, as non-working banks are identified, they are eliminated from the frame. It should be noted that these banks are eliminated only when there is evidence from various sources that they are non-working. When there is no information about a bank it is left on the frame. The Canada Phone Directory and telephone companies’ billing address files were used in conjunction with various internal administrative files to eliminate non-working banks.

Using available geographic information (postal codes), the banks on the frame were regrouped to create RDD strata to encompass, as closely as possible, the HR areas. Within each RDD stratum, a bank was randomly chosen and a number between 00 and 99 was generated at random to create a complete, ten-digit telephone number. This procedure was repeated until the required number of telephone numbers within the RDD stratum was reached. Frequently, the number generated is not in service or is out-of-scope, and therefore, many additional numbers must be generated to reach the targeted sample size. This success rate varies from region to region. Within the CCHS, the success rates ranged from 25% to 50% among the four HRs which required the use of the RDD frame.

5.5 Sample allocation over the collection period

In order to balance interviewer workload and to minimize possible seasonal effects on estimates of certain key characteristics such as physical activity, the initial sample of dwellings / telephone numbers was allocated at random, within each HR, over a two- month data collection period.

In the area frame, each start selected within each HR was randomly assigned to a collection period accounting for a number of constraints related to field operations or weighting, while maintaining a uniform size for each period. For example, a sample that is representative of the Canadian population is ensured every six months by ensuring that the dwelling sample covers all LFS strata during this period.

For the lists of telephone numbers, independent samples were selected in each collection period. This strategy ensures that each sample is representative of the Canadian population that is within the scope of the survey in each two months.

5.6 Sampling of interviewees

As was done for the previous cycles, the selection of individual respondents was designed to ensure over-representation of youths (12 to 19). The selection strategy that was adopted accounted for user needs, cost, design efficiency, response burden and operational constraints. One person is selected per household using varying probabilities taking into account the age and the household composition. The selection probabilities resulted from simulations using various parameters in order to determine the optimal approach without causing extreme sampling weights.

The selection weight multiplicative factors were modified between 2009 and 2010 to increase the probability of selecting respondents in the 12-19 and the 20-29 age groups. Table 5.3 gives the selection weight multiplicative factors used to determine the probabilities of selection of individuals in sampled households by age group, for 2009 and for 2010. For example, in 2010, for a three-person household formed of two adults of age 45 to 64 and one 15-year-old, the teenager would have a 7/9 chance of being selected (i.e., 70/(70+10+10)) while each of the adults would have a 1/9 chance of being selected. To avoid extreme sampling weights, there is one exception to this rule: if the size of the household is greater than or equal to 5 or if the number of 12-19 year olds is greater than or equal to 3 then the selection weight multiplicative factor equals 1 for each individual in the household. Consequently, all people in that household have the same probability of being selected.

Table 5.3 Selection weight multiplicative factors for the person–level sampling strategy by age
Selection Weight Multiplicative Factors
Age 12 to 19 20 to 29 30 to 44 45 to 64 65+
Factor (2009) 65 25 20 10 10
Factor (2010) 70 50 20 10 10

5.7 Supplementary buy-in sample in Ontario

The province of Ontario requested a sample increase in order to produce estimates at the Local Health Integrated Network (LHIN) geography level. Ontario contains 14 LHIN. The CCHS sample was increased in order to obtain a minimum size of 2,000 per LHIN over a period of 2 years. As the HR and LHIN boundaries intersect each other, the stratification level used was the HRLHIN overlap. The preliminary sample sizes allotted by HR are therefore preserved. In cases where the HR allocation prevented the sample from reaching sizes of 2,000 per LHIN, the sample was then increased, and was allocated proportionally to the size of the population within the HRLHIN overlap. Table 5.4 provides the sample sizes of targeted respondents by LHIN for 2010 and 2009– 2010.

Table 5.4 Targeted respondents by Local Health Integrated Network (LHIN), 2010 and 2009-2010.
LHIN Targeted respondents 2010 Targeted respondents 2009–2010
01–Erie St. Clair 1,550 3,100
02–South West 2,561 5,122
03–Waterloo Wellington 1,242 2,484
04–Hamilton Niagara Haldimand Brant 2,597 5,194
05–Central West 1,056 2,125
06–Mississauga Halton 1,115 2,230
07–Toronto Central 1, 084 2,165
08–Central 1,411 2,822
09–Central East 2,108 4,216
10–South East 1,313 1,626
11–Champlain 2,057 4,114
12–North Simcoe Muskoka 1,047 2,097
13–North East

 

1,990 3,980
14–North West 1,041 2,104
Ontario 22,172 44,379

The total sample size of the HRLHIN overlapping areas was then allocated equally between the list frame and the area frame. The usual sample selection procedures within each frame were then applied to the total sample. The additional sample was included as part of the full CCHS sample. Sample sizes by Local Health Integrated Network and frame are given in Appendix D for 2010 and in Appendix F for 2009-2010.

6.0 Data collection

6.1 Computer–assisted interviewing

Between January and December 2010, over 60,000 valid interviews were conducted using computer assisted interviewing (CAI). Approximately half the interviews were conducted in person using computer assisted personal interviewing (CAPI) and the other half were conducted over the phone using computer assisted telephone interviewing (CATI). Between January 2009 and December 2010, over 120,000 valid interviews were conducted.

CAI offers two main advantages over other collection methods. First, CAI offers a case management system and data transmission functionality. This case management system automatically records important management information for each attempt on a case and provides reports for the management of the collection process.CAI also provides an automated call scheduler, i.e. a central system to optimise the timing of call–backs and the scheduling of appointments used to support CATI collection.

The case management system routes the questionnaire applications and sample files from Statistics Canada’s main office to regional collection offices (in the case of CATI) and from the regional offices to the interviewers laptops (for CAPI). Data returning to the main office takes the reverse route. To ensure confidentiality, the data is encrypted before transmission. The data are then unencrypted when they are on a separate secure computer with no remote access.

Second, CAI allows for custom interviews for every respondent based on their individual characteristics and survey responses. This includes:

  • questions that are not applicable to the respondent are skipped automatically
  • edits to check for inconsistent answers or out–of–range responses are applied automatically and on–screen prompts are shown when an invalid entry is recorded. Immediate feedback is given to the respondent and the interviewer is able to correct any inconsistencies.
  • question text, including reference periods and pronouns, is customised automatically based on factors such as the age and sex of the respondent, the date of the interview and answers to previous questions.

6.2 CCHS application development

The CCHS uses two separate CAI applications to collect data, one for telephone interviews (CATI) and one for personal interviews (CAPI). This was done in order to customise each applications’ functionality to the type of interview being conducted. Each application consisted of entry, health content , and exit components.

Entry and exit components contain standard sets of questions designed to guide the interviewer through contact initiation, collection of important sample information, respondent selection and determination of cases status. The health content consists of the health modules themselves and made up the bulk of the applications. This includes common modules asked of all respondents and optional modules which differed by health region. Each application underwent three stages of testing: block, integrated and end to end.

Block level testing consists of independently testing each content module or "block" to ensure skip patterns, logic flows and text, in both official languages, are specified correctly. Skip patterns or logic flows across modules are not tested at this stage as each module is treated as a stand alone questionnaire. Once all blocks are verified by several testers they are added together along with entry and exit components into integrated applications. These newly integrated applications are then ready for the next stage of testing.

Integrated testing occurs when all of the tested modules are added together, along with the entry and exit components, into an integrated application. This second stage of testing ensures that key information such as age and gender are passed from the entry to the health content and exit components of the applications. It also ensures that variables affecting skip patterns and logic flows are correctly passed between modules within the health content. Since, at this stage the applications essentially function as they will in the field, all possible scenarios faced by interviewers are simulated to ensure proper functionality. These scenarios test various aspects of the entry and exit components including, establishing contact, collecting contact information, determining whether a case is in scope, rostering households, creating appointments and selecting respondents. The applications are also tested to ensure that during an interview, correct modules are triggered reflecting health region optional content selections.

End to end testing occurs when the fully integrated applications are placed in simulated collection environment. The applications are loaded onto computers that are connected to a test server. Data is then collected, transmitted and extracted in real time, exactly as it would be done in the field. This last stage of testing allows for the testing of all technical aspects of data input, transmission and extraction for each of the CCHS applications. It also provided a final chance of finding errors within the entry, health content and exit components.

6.3 Interviewer training

Project managers, senior interviewers and interviewers from regional collection offices were sent self study training packages before the start of collection. These packages were prepared by the CCHS project team and were used by existing experienced CCHS interviewers to reinforce their previous training. Project managers and senior interviewers also conducted customised training sessions for new CCHS interviewing staff as needed. There were also specific training sessions to deal with various topics related to CCHS collection on a monthly basis. The focus of the training sessions were to get interviewers comfortable using the CCHS 2010 applications, and familiarise interviewers with survey content and to introduce interviewers to interviewing procedures specific to the CCHS. The training focused on:

  • goals and objectives of the survey including a focus on the survey redesign
  • survey methodology
  • application functionality
  • review of the questionnaire content and exercises with an emphasis on significant content changes
  • interviewer techniques for maintaining response – complete exercises to minimise non–response
  • use of mock interviews to simulate difficult situations and practise potential non–response situations
  • survey management
  • transmission procedures

One of the key aspects of the training was a focus on minimizing non–response. Exercises to minimise non–response were prepared for interviewers. The purpose of these exercises was to have the interviewers practice convincing reluctant respondents to participate in the survey. There was also a series of refusal avoidance workshops given to the senior interviewers responsible for refusal conversion in each regional collection office.CAT selecte call centre.

6.4 The interview

Sample units selected from the telephone list and RDD (Random Digit Dialling) frames were interviewed from centralised call centres using CATI. The CATI interviewers were supervised by a senior interviewer located in the same call centre. Units selected from the area frame were interviewed by decentralised field interviewers using CAPI. While in some situations field interviewers were permitted to complete some or part of an interview by telephone, roughly three-quarters of these interviews were conducted exclusively in person.CAPI interviewers worked independently from their homes using laptop computers and were supervised from a distance by senior interviewers. The variable SAM_TYP on the microdata files indicates whether a case was selected from the area frame (CAPI) or from the telephone or RDD frame (CATI).

In all selected dwellings, a knowledgeable household member was asked to supply basic demographic information on all residents of the dwelling. One member of the household was then selected for a more in-depth interview, which is referred to as the health content Interview.

CAPI interviewers were trained to make an initial personal contact with each sampled dwelling. In cases where this initial visit resulted in non-response, telephone follow-ups were permitted. The variable ADM_N09 on the microdata files indicates whether the interview was completed face-to-face, by telephone or using a combination of the two techniques.

To ensure the quality of the data collected, interviewers were instructed to make every effort to conduct the interview with the selected respondent in privacy. In situations where this was unavoidable, the respondent was interviewed with another person present. Flags on the microdata files indicate whether somebody other than the respondent was present during the interview (ADM_N10) and whether the interviewer felt that the respondent’s answers were influenced by the presence of the other person (ADM_N11).

To ensure the best possible response rate attainable, many practices were used to minimise non-response, including:

a) Introductory letters
Before the start of each collection period introductory letters explaining the purpose of the survey were sent to the sampled households. These explained the importance of the survey and provided examples of how CCHS data would be used.

b) Initiating contact
Interviewers were instructed to make all reasonable attempts to obtain interviews. When the timing of the interviewer's call (or visit) was inconvenient, an appointment was made to call back at a more convenient time. If requests for appointments were unsuccessful over the telephone, interviewers were instructed to follow-up with a personal visit. If no one was home on first visit, a brochure with information about the survey and intention to make contact was left at the door. Numerous call-backs were made at different times on different days.

c) Refusal conversion
For individuals who at first refused to participate in the survey, a letter was sent from the nearest Statistics Canada Regional Office to the respondent, stressing the importance of the survey and the household's collaboration. This was followed by a second call (or visit) from a senior interviewer, a project supervisor or another interviewer to try to convince respondent of the importance of participating in the survey.

d) Language barriers
To remove language as a barrier to conducting interviews, each of the Statistics Canada Regional Offices recruited interviewers with a wide range of language competencies. When necessary, cases were transferred to an interviewer with the language competency needed to complete an interview.

e) Youth interviews
In 2009, interviewers were obliged to obtain verbal permission from parents/guardians to interview youths between the ages of 12 to 15 who were selected for interviews. In 2010, the Parental Consent block (PGC) was added into the applications. The addition of this block formalizes the process of requesting permission from the parent or guardian (given one exists in the household) of a 12-15 year old to complete the survey. Several procedures were followed by interviewers to alleviate potential parental concerns and to ensure a completed interview. Interviewers carried with them a card entitled "Note to parents / guardians about interviewing youths for the Canadian Community Health Survey". This card explained the purpose of collecting information from youth, lists the subjects to be covered in the survey, asks for permission to share and link the obtained information and explains the need to respect a child's right to privacy and confidentiality.

If a parent/guardian asked to see the actual questions; interviewers were instructed to either show the survey questions, or if the interviewer was being conducted by phone, to immediately have the regional office send a copy of the questionnaire.

If privacy could not be obtained to interview the selected youth either in person or over the phone (another person listening in) the interview was coded a refusal. However, for CAPI interviews, if privacy could not be obtained to interview the selected youth, the interviewer was able to propose to the parent/guardian that the interviewer read the questions out loud and the youth enter their answers directly on the computer.

The Person Most Knowledgeable (PMK) block was added to the 2010 application to collect household level information found at the end of the survey (Home Safety, Insurance coverage, Food Security, Neurology conditions, Education, Income and Administration) from the most knowledgeable person in the household. This block is initiated when the selected respondent is between the ages of 12 to 15. The block again formalizes the process of identifying a person in the household who is likely better able to answer these household level questions than the young selected respondent. If a PMK is found then the interview moves from the younger selected respondent between the ages of 12 and 15, to a parent, guardian who finishes the rest of the interview after the PMK block.

Since the PMK block was not collected in 2009, PMK variables are not included in the 2009-2010 data file.

f) Proxy interviews
In cases where the selected respondent was, for reasons of physical or mental health, incapable of completing an interview, another knowledgeable member of the household supplied information about the selected respondent. This is known as a proxy interview. While proxy interviewees were able to provide accurate answers to most of the survey questions, the more sensitive or personal questions were beyond the scope of knowledge of a proxy respondent. This resulted in some questions from the proxy interview being unanswered. Every effort was taken to keep proxy interviews to a minimum.

6.5 Field operations

The majority of the 2009 and 2010 sample was divided on a yearly basis into six non-overlapping two-month collection periods. Regional collection offices were instructed to use the first 4 weeks of each collection period to resolve the majority of the sample, with next 4 weeks being used finalise the remaining sample and to follow up on outstanding non-response cases. All cases were to have been attempted by the second week of each collection period. Sample files were sent approximately two weeks before the start of each collection period to centralised collection offices. A series of dummy cases were included with each CAPI sample. These cases were completed by senior interviewers for the purposes of ensuring that all data transmission procedures were working through the collection cycle. Once, the samples were received, project supervisors were responsible for planning CAPI interviewer assignments. Wherever possible, assignments were generally no larger than 15 cases per interviewer.

Transmission of cases from each of the CATI offices to head office was the responsibility of the regional office project supervisor, senior interviewer and the technical support team. These transmissions were performed nightly and sent all completed cases to Statistics Canada’s head office. Completed CAPI interviews were transmitted daily from the interviewer’s home directly to Statistics Canada’s head office using a secure telephone transmission.

Transmission of cases from each of the CATI offices to head office was the responsibility of the regional office project supervisor, senior interviewer and the technical support team. These transmissions were performed nightly and sent all completed cases to Statistics Canada’s head office. Completed CAPI interviews were transmitted daily from the interviewer’s home directly to Statistics Canada’s head office using a secure telephone transmission.

For final response rates, refer to Appendix E for 2010 and to Appendix G for 2009-2010.

6.6 Quality control and collection management

During collection year, several methods are used to ensure data quality and to optimize collection. These included using internal measures to verify interviewer performance and the use of a series of ongoing reports to monitor various collection targets and data quality.

A system of validation was used for CAPI cases whereby interviewers had their work validated on a regular basis by the Regional Office. Each collection period, randomly selected cases were flagged in the sample. Regional office managers and supervisors created lists of cases to be validated. These cases were handed to the validation team who then contacted households to verify that a legitimate interview took place. Validation procedures generally occurred during the first few weeks of a collection period to ensure that any issues were detected promptly. Interviewers were provided feedback by their supervisors on a regular basis.

CATI interviewers were also randomly chosen for validation. Validation in the CATI collection offices consisted of senior interviewers monitoring interviews to ensure proper techniques and procedures (reading the questions as worded in the applications, not prompting respondents for answers, etc.) were followed by the interviewer.

A series of reports were produced to effectively track and manage collection targets and to assist in identifying other collection issues.

Cumulative reports were generated at the end of each collection period, showing response, link, share and proxy rates for both the CATI and CAPI samples by individual health region. The reports were useful in identifying health regions that were below collection target levels, allowing the regional offices to focus efforts in these regions.

Using information obtained from the CAI applications, further analysis was done in head office in order to identify interviews that were completed below acceptable time frames. These short interviews were flagged, removed from the microdata and treated as non-response.

7.0 Data processing

7.1 Editing

Most editing of the data was performed at the time of the interview by the computer-assisted interviewing (CAI) application. It was not possible for interviewers to enter out-of-range values and flow errors were controlled through programmed skip patterns. For example, CAI ensured that questions that did not apply to the respondent were not asked.

In response to some types of inconsistent or unusual reporting, warning messages were invoked but no corrective action was taken at the time of the interview. Where appropriate, edits were instead developed to be performed after data collection at Head Office. Inconsistencies were usually corrected by setting one or both of the variables in question to "not stated".

7.2 Coding

Pre-coded answer categories were supplied for all suitable variables. Interviewers were trained to assign the respondent’s answers to the appropriate category.

In the event that a respondent’s answer could not be easily assigned to an existing category, several questions also allowed the interviewer to enter a long-answer text in the "Other-specify" category. All such questions were closely examined in head office processing. For some of these questions, write-in responses were coded into one of the existing listed categories if the write-in information duplicated a listed category. For all questions, the "Other-specify" responses are taken into account when refining the answer categories for future cycles.

7.3 Creation of derived variables

To facilitate data analysis and to minimize the risk of error, a number of variables on the file have been derived using items found on the CCHS questionnaire. Derived variables generally have a "D", "G" or "F" in the fourth character of the variable name. In some cases, the derived variables are straightforward, involving collapsing of response categories. In other cases, several variables have been combined to create a new variable. The Derived Variables Documentation (DV) provides details on how these more complex variables were derived. For more information on the naming convention, please go to Section 12.6.

7.4 Weighting

The principle behind estimation in a probability sample such as CCHS is that each person in the sample "represents", besides himself or herself, several other persons not in the sample. For example, in a simple random 2% sample of the population, each person in the sample represents 50 persons in the population. In the terminology used here, it can be said that each person has a weight of 50.

The weighting phase is a step that calculates, for each person, his or her associated sampling weight. This weight appears on the PUMF, and must be used to derive meaningful estimates from the survey. For example, if the number of individuals who smoke daily is to be estimated, it is done by selecting the records referring to those individuals in the sample having that characteristic and summing the weights entered on those records.

8.0 Weighting

In order for estimates produced from survey data to be representative of the covered population, and not just the sample itself, users must incorporate the survey weights in their calculations. A survey weight is given to each person included in the final sample, that is, the sample of persons having responded to the survey. This weight corresponds to the number of persons in the entire population that are represented by the respondent.

As described in Section 5, the CCHS has recourse to three sampling frames for its sample selection: an area frame acting as the primary frame and two frames made up of telephone numbers used to complement the area frame. Since only minor differences differentiate the two telephone frames in terms of weighting, they are treated together as one and referred to as being part of the telephone frame.

Depending on the need, one or two frames are used for the selection of the sample within a given health region (HR). When two frames are used, the weighting strategy treats both the area and telephone frames independently to come up with separate household-level weights for each of the frames used. These household-level weights are then combined into a single set of household weights through a step called "integration". After applying person-level selection weights and some further adjustments, this integrated weight becomes the final person-level weight.

8.1 Overview

As mentioned earlier, units from both the area and telephone frames are treated separately up to the integration step. The following sections describe the weighting process for the provinces. Sub-section 8.2 provides details on the weighting strategy for the area frame, while sub-section 8.3 deals with the strategy for the telephone frame. The integration of the two frames is discussed in 8.4. This is followed by the last weighting steps including calibration, where the weights are adjusted to control for seasonality and to match known population totals. These steps are explained in sub-section 8.5.

Although the two frames are used to cover the three territories, the sampling methods used are slightly different from those used in the provinces. These modifications affect the weighting of these three regions substantially, and they are reported in sub-section 8.6.

Diagram A presents an overview of the different adjustments that are part of the weighting strategy. A numbering system is used to identify each adjustment and will be used throughout the section. Letters A and T are used as prefixes to refer to adjustments applied to the units on the Area and Telephone frames respectively, while prefix I identifies adjustments applied from the Integration step onwards.

Diagram A Weighting strategy overview

Diagram A Weighting strategy overview

8.2 Weighting of the area frame sample

A0 – Initial weight

The weighting on the area frame sample begins with a weight provided by the Labour Force Survey (LFS). This weight is based on the LFS design since the CCHS area frame sample design is based on the LFS. The LFS design consists of a sample of dwellings within clusters selected from LFS strata. In the initial adjustment A0, the LFS weight is adjusted to take into consideration the fact that the CCHS selects a sample to be representative of the Health Region. To do so, the CCHS selects a different number of clusters than the LFS and can repeat the sampling of dwellings within the selected clusters. The resulting weight is called weight A0. For more details about the selection mechanism, as well as a more complete definition of LFS strata and clusters, refer to Statistics Canada (1998)10.

A1 – Sub–cluster adjustment

In clusters that experience significant growth, a sub-sampling methodology is used to ensure that the workload of the interviewers is kept at a reasonable level. This can consist of sub-sampling from the selected dwellings, dividing the cluster into sub-clusters, or reclassifying the cluster as a stratum and creating new clusters within the stratum. In all these cases, a sub-sample adjustment is calculated and applied to the CCHS weight. This adjustment is applied to weight A0 to produce weight A1. Again, more information can be found in the LFS documentation (Statistics Canada (1998)).

A2 – Stabilization

In some HRs, the increase of the sample size as described in section 5, results in a larger sample than necessary. Stabilization is used to bring the sample size back down to the desired level. The stabilization process consists of randomly sub-sampling dwellings at the HR level from the dwellings originally selected within each cluster. An adjustment factor representing the effect of this stabilization is calculated in order to adjust the probability of selection appropriately. This factor, multiplied by weight A1, produces weight A2.

A3 – Removal of out–of–scope units

Among all dwellings sampled, a certain proportion is identified during collection as being out-of-scope. Dwellings that are demolished or under construction, vacant, seasonal or secondary, and institutions are examples of out-of-scope cases for the CCHS. These dwellings and their associated weight are simply removed from the sample. This leaves a sample that consists of, and is representative of, in-scope dwellings or households. These remaining in-scope dwellings maintain the same weight as in the previous step, which is now called weight A3.

A4 – Household nonresponse

During collection, a certain proportion of sampled households inevitably result in nonresponse. This usually occurs when a household refuses to participate in the survey, provides unusable data, or cannot be reached for an interview. Weights of the nonresponding households are redistributed to responding households within response homogeneity groups (RHGs). In order to create the response homogeneity groups, a scoring method based on logistic regression models is used to determine the propensity to respond and these response probabilities are used to divide the sample into groups with similar response properties. The information available for nonrespondents is limited so the regression model uses characteristics such as the collection period and geographic information, as well as paradata or process data, which includes the number of contact attempts, the time/day of attempt, and whether the household was called on a weekend or weekday. Starting in 2008, RHGs were formed within province to better control for provincial totals. An adjustment factor is calculated within each response group as follows:

Formula 1

Weight A3 is multiplied by this factor to produce weight A4 for the responding households. Non-responding households are dropped from the process at this point.

8.3 Weighting of the telephone frame sample

As mentioned earlier, the telephone frame is composed of two frames: a Random Digit Dialling (RDD) frame and a list frame. Only one of the frames can be used within an HR. When the list frame is used, it is always used as a complement to the area frame within the HR. When the RDD frame is used, it is always used as the only frame within the HR. For the purposes of weighting, units coming from the two telephone frames are treated together and therefore are subject to the same adjustments.

The geographical boundaries used to select the sample from the telephone frame do not always conform to the HR geography. Consequently, some units may have been sampled from one HR but the information collected at the time of the interview places them in a neighbouring HR. This is handled in the weighting by applying the first 3 telephone adjustments (T0, T1 and T2) relative to the HR assigned at the time of sample selection. The remaining 2 adjustments (T3 and T4) are applied to the HR based on information collected from the respondent to ensure that all units belong to their correct HR.

T0 –Initial weight

The initial design weight is defined as the inverse of the probability of selection and is computed separately for the RDD and list frame samples since the method of selection differs between these two frames. For the RDD frame, the selection of telephone numbers is done within each RDD stratum. An RDD stratum is an aggregation of area code prefixes (ACP: the first six digits of a 10-digit telephone number), with each ACP containing valid banks of one hundred numbers (see Norris and Paton11 for more details). Therefore, the probability of selection is the ratio between the number of sampled units and one hundred times the number of banks within the RDD stratum.

For the list frame, telephone numbers are randomly selected among those assigned to the specific HR. The probability of selection corresponds to the ratio of the number of sampled units to the number of telephone numbers on the list within the HR. The ratio is based on the frame available and the number of units selected for the particular two-month collection period. The probability of selection can therefore change depending on sample allocation and frame updates. The inverse of these probabilities represents the initial weight T0.

T1 – Number of collection periods

On the area frame, the entire sample is selected at the beginning of the year. This is in contrast to the telephone frame, where samples are drawn every two months. Each of these samples comes with an initial weight that allows each sample to be representative of the population at the HR level. To ensure that the total sample represents the population only once, an adjustment factor is applied to reduce the weights of each two-month sample. The adjustment factor applied to each two-month sample is equal to the the inverse of the number of samples being combined (i.e. the number of collection periods). Following this adjustment, the entire list frame sample corresponds to the average over the entire combined collection period. The initial weights are multiplied by this adjustment factor to produce weight T1.

T2 – Removal of out–of–scope numbers

Telephone numbers associated with businesses, institutions or other out-of-scope dwellings, as well as numbers not in service or any other non- working numbers are all examples of out-of-scope cases for the telephone frame. Similar to the methods used on the area frame, these cases are simply removed from the process, leaving only in-scope dwellings in the sample. These in-scope dwellings keep the same weight as in the previous step, now called weight T2.

T3 – Household nonresponse

The adjustment applied here to compensate for the effect of household nonresponse is identical to the one applied for the area frame (adjustment A4) although the paradata used does differ because of the differences in collection applications for personal and telephone interviews. The adjustment factor calculated within each response homogeneity group is obtained as follows:

Formula 2

The weight T2 of responding households is multiplied by this factor to produce the weight T3. Nonresponding households are removed from the process at this point.

T4 – Multiple phone lines

Some households can possess more than one residential telephone line. This has an impact on the weighting because these households have a higher probability of being selected. The weights for these households need to be adjusted for the number of residential telephone lines within the household. The adjustment factor represents the inverse of the number of lines in the household. The weight T4 is obtained by multiplying this factor by the weight T3.

8.4 Integration of the telephone and area frames (I1)

This step consists of integrating the weights for households common to the area and telephone frames into a single weight by applying a method of integration12. Those units on the area frame that are not on the telephone frame do not have their weights adjusted. For all others units, an adjustment factor α between 0 and 1 is applied to the weights. The weight of the area frame units is multiplied by this factor a, while the weight of the telephone frame units is multiplied by 1– α. Note that in the case where an HR is covered by only one frame, the adjustment factor is equal to 1. Starting in 2008, a fixed α of 0.4 has been used for those units on both frames to ensure greater comparability of estimates across years. The product between the factor derived here and the final household weight calculated earlier (A4 or T4, depending on which frame the unit belongs to), gives the integrated household weight I1.

8.5 Post–integration weighting steps

I2 – Creation of person level weight

Since persons are the desired sampling units, the household-level weights computed to this point need to be converted to the person level. This weight is obtained by multiplying the weight I1 by the inverse of the probability of selection of the person selected in the household. This gives the weight I2. As mentioned earlier, the probability of selection for an individual changes depending on the number of people in the household and the ages of those individuals (see Section 5.6 for more details).

I3 – Person nonresponse

A CCHS interview can be seen as a two-part process. First, the interviewer gets the complete roster of the people within the household. Second, the selected person is interviewed. In some cases, interviewers can only get through the first part, either because they cannot get in touch with the selected person, or because that selected person refuses to be interviewed. Such individuals are defined as person nonrespondents and an adjustment factor must be applied to the weights of person respondents to account for this nonresponse. Using the same methodology that is used in the treatment of household nonresponse, the adjustment is applied within response homogeneity groups. In this process, the scoring method is used to define a response probability based on characteristics available for both respondents and non-respondents. All characteristics collected when creating the roster of household members are available for the estimation of the response probabilities as well as geographic information and some paradata. The probabilities are grouped into response homogeneity groups and the following adjustment factor is calculated within each group:

Formula 3

Weight I2 for responding persons is multiplied by the above adjustment factor to produce weight I3. Nonresponding persons are dropped from the weighting process from this point onward.

I4 – Winsorization

Following the series of adjustments applied to the respondents, some units may come out with extreme weights compared to other units of the same domain of interest. These units could represent a large proportion of their HR or have a large impact on the variance. In order to prevent this, the weight of these outlier units is adjusted downward using a "winsorization" trimming approach.

I5 – Calibration

The last step necessary to obtain the final CCHS weight is calibration (I5). Calibration is done using CALMAR13 to ensure that the sum of the final weights corresponds to the population estimates defined at the HR level, for all 10 age-sex groups of interest. The five age groups are 12-19, 20-29, 30-44, 45-64, 65+, for both males and females. Starting in 2009, additional controls at sub-HR levels were introduced for the applicable HRs. These controls included grouped CLSCs in health regions 2403 (National Capital Region, Quebec) and 2415 (Laurentides, Quebec) as well as DHAs across Nova Scotia. A minimum domain size of 20 respondents is required to calibrate at the HR by age by sex level. For domains that have less 20 respondents, some collapsing is done within province and / or within gender. At the same time, weights are adjusted to ensure that each collection period (two-month period) is equally represented within the sample. Note that the calibration is done using the most up to date geography and may not match the geography used in sampling.

The population estimates are based on the 2006 Census counts and counts of birth, death, immigration and emigration since that time. The average of these monthly estimates for each of the HR-age-sex post-strata by collection period is used to calibrate. The weight I4 is adjusted using CALMAR to obtain the final weight I5. Weight I5 corresponds to the final CCHS person-level weight and can be found on the data file with the variable name WTS_M for master or PUMF users. Prior to the 2010 and 2009-2010 reference period, 2001 Census population counts were used. Evaluation studies have confirmed that the impact of this change on CCHS estimates should be minimal.

8.6 Particular aspects of the weighting in the three territories

As described in Section 5, the sampling frame used in the three territories is somewhat different from the one used in the provinces. Therefore, the weighting strategy is adapted to comply with these differences. This section summarises the changes applied to the steps described in sub-sections 8.1 to 8.5

For the area frame, as mentioned in sub-section 5.4.1, an additional stage of selection is added in the territories where each territory is stratified into groupings of communities and one community is selected within each group. The capital of each territory forms a stratum on its own and is selected automatically at the first stage. This has an effect in the computation of the probability of selection, and therefore in the value of the initial weight (A0). Once the initial weight is calculated, the same series of adjustments (A1 to A4) is applied to the area frame units. Household- level and person-level nonresponse adjustment classes are built in the same way as for the provinces, using the same set of variables.

For the weighting of the telephone frame units, it should be noted that only the RDD frame is used and its use is exclusive to the capitals of the Yukon and the Northwest Territories. All of the telephone frame adjustments are applied to derive a final weight for the telephone units. The two sets of weights (area and telephone) are subsequently integrated and post-stratified in a similar way to what is done for the provinces, with three exceptions. First, the integration is applied only to units located in the Yukon and Northwest Territories capitals since the other communities are covered only by the area frame. Second, the population counts used for calibration for Nunavut represent 70% of the entire population because of the under-coverage of the area frame that was described in section 5.4.1.

Finally, starting with the 2008 and 2007-2008 reference year products, controls have been put in place to ensure that the proportion of aboriginals and the proportion of individuals in the capital regions are controlled in the Northwest Territories and Yukon. A similar control based on Inuit status was introduced for Nunavut. Starting in 2009, the proportion of individuals in the capital regions is controlled in Nunavut. These controls ensure that the proportion of the estimates represented by these different groups is consistent with proportions indicated by the 2006 Census.

8.7 Creation of a share weight

Along with the master file and PUMF which contain all CCHS respondents, a share file is created which contains only a portion (>90%) of the original CCHS respondents. The individuals on this share file have agreed to share their data with certain partners. To compensate for the loss of some respondents from the file, the weights of these "sharers" must be adjusted by the factor:

Formula 4

Similar to the nonresponse adjustments, this factor is calculated within homogeneity groups, where in this case, individuals with similar estimated propensity to share will be grouped together. The final weight after this adjustment is called WTS_S.

8.8 Weighting for a two-year file

When two years of data are combined to create a two-year file, new weights are calculated straightforwardly by halving the annual weights. This ensures that the sum of the final weights is equal to the average population size over the two years. For more information on combining multiple years, please refer to the article "Combining cycles of the Canadian Community Health Survey" published in the Statistics Canada Health Reports publication (82-003) at the following link: 82-003-x

9.0 Data quality

9.1 Response rates for 2010

In total, 88,410 of the selected units in the CCHS 2010 were in-scope for the survey14. Out of these, 71,315 households accepted to participate in the survey resulting in an overall household-level response rate of 80.7%. Among these responding households, 71,315 individuals (one per household) were selected to participate to the survey, out of which a response was obtained for 63,191 individuals, resulting in an overall person-level response rate of 88.6%. At the Canada level, this yields a combined response rate of 71.5% for the CCHS 2010. Table 9.1 provides combined response rates as well as relevant information for their calculation by health region or group of health regions. Table 9.2 provides the same data by Local Health Integrated Network (LHIN) level.

Table 9.1 : 2010 Response rate by health region and frames

(see Appendix E)

Table 9.2 : 2010 Reponse rate by Local Health Integrated Network (LHIN) and frames in Ontario

(see Appendix E)

9.2 Response rates for 2009-2010

In total, 172,671 of the selected units in the CCHS 2009-2010 were in-scope for the survey. Out of these, 139,841 households accepted to participate in the survey resulting in an overall household-level response rate of 81.0%. Among these responding households, 139,841 individuals (one per household) were selected to participate to the survey, out of which a response was obtained for 124,870 individuals, resulting in an overall person-level response rate of 89.3%. At the Canada level, this yields a combined response rate of 72.3% for the CCHS 2009–2010. Table 9.3 provides combined response rates as well as relevant information for their calculation by health region or group of health regions. Table 9.4 provides the same data by Local Health Integrated Network (LHIN) level.

Table 9.3 : 2009-2010 response rate by health regions and frames

(see Appendix G)

Table 9.3 : 2009-2010 response rate by Local Health Integrated Network (LHIN) and frames in Ontario

(see Appendix G)

Next, we describe how the various components of the equation should be handled to correctly compute combined response rates.

Household–level response rate
HHRR = Number of responding households in both frames / All in–scope households in both frames

Person–level response rate
PPRR = Number of responding persons in both frames / All selected persons in both frames

Combined response rate = HHRR x PPRR

Below is an example on how to calculate the combined response rate for Canada using the information found in Table 9.1. The same method applies to rates computed for smaller regions such as province or health region, or to rates computed for the CCHS 2009–2010 using the information found in Table 9.3.

HHRR =
33,387 + 37,928 = 71,315 = 0.807
40,070 + 48,340 = 88,410

PPRR =
30,449 + 32,742 = 63,191 = 0.886
33,387 + 37,928 = 71,315

Combined response rate = 0.807 x 0.866

= 0.715

= 71.5%

9.3 Survey Errors

The estimates derived from this survey are based on a sample of individuals. Somewhat different figures might have been obtained if a complete census had been taken using the same questionnaire, interviewers, supervisors, processing methods, etc. than those actually used. The difference between the estimates obtained from the sample and the results from a complete count under similar conditions is called the sampling error of the estimate.

Errors which are not related to sampling may occur at almost every phase of a survey operation. Interviewers may misunderstand instructions, respondents may make errors in answering questions, the answers may be incorrectly entered on the computer and errors may be introduced in the processing and tabulation of the data. These are all examples of non–sampling errors.

9.3.1 Non–sampling Errors

Over a large number of observations, randomly occurring errors will have little effect on estimates derived from the survey. However, errors occurring systematically will contribute to biases in the survey estimates. Considerable time and effort was made to reduce non-sampling errors in the CCHS 2010. Quality assurance measures were implemented at each step of data collection and processing to monitor the quality of the data. These measures included the use of highly skilled interviewers, extensive training with respect to the survey procedures and questionnaire, and the observation of interviewers to detect problems. Testing of the CAI application and field tests were also essential procedures to ensure that data collection errors were minimized.

A major source of non-sampling errors in surveys is the effect of non-response on the survey results. The extent of non-response varies from partial non-response (failure to answer just one or some questions) to total non-response. Partial non-response to the CCHS was minimal; once the questionnaire was started, it tended to be completed with very little non-response. Total non-response occurred either because a person refused to participate in the survey or because the interviewer was unable to contact the selected person. Total non- response was handled by adjusting the weight of persons who responded to the survey to compensate for those who did not respond. See section 8 for details on the weight adjustment for non-response.

9.3.2 Sampling Errors

Since it is an unavoidable fact that estimates from a sample survey are subject to sampling error, sound statistical practice calls for researchers to provide users with some indication of the magnitude of this sampling error. The basis for measuring the potential size of sampling errors is the standard deviation of the estimates derived from survey results. However, because of the large variety of estimates that can be produced from a survey, the standard deviation of an estimate is usually expressed relative to the estimate to which it pertains. This resulting measure, known as the coefficient of variation (CV) of an estimate, is obtained by dividing the standard deviation of the estimate by the estimate itself and is expressed as a percentage of the estimate.

For example, suppose hypothetically that it is estimated that 25% of Canadians aged 12 and over are regular smokers and that this estimate is found to have a standard deviation of 0.003. Then the CV of the estimate is calculated as:

(0.003/0.25) x 100% = 1.20%

Statistics Canada commonly uses CV results when analyzing data and urges users producing estimates from the CCHS data files to also do so. For details on how to determine CVs, see Section 11. For guidelines on how to interpret CV results, see the table at the end of Sub–section 10.4.

10.0 Guidelines for tabulation, analysis and release

This section of the documentation outlines the guidelines to be used by users in tabulating, analyzing, publishing or otherwise releasing any data derived from the survey files. With the aid of these guidelines, users of microdata should be able to produce figures that are in close agreement with those produced by Statistics Canada and, at the same time, will be able to develop currently unpublished figures in a manner consistent with these established guidelines.

10.1 Rounding guidelines

In order that estimates for publication or other release derived from the data files (Master, Share or PUMF) correspond to those produced by Statistics Canada, users are urged to adhere to the following guidelines regarding the rounding of such estimates:

a) Estimates in the main body of a statistical table are to be rounded to the nearest hundred units using the normal rounding technique. In normal rounding, if the first or only digit to be dropped is 0 to 4, the last digit to be retained is not changed. If the first or only digit to be dropped is 5 to 9, the last digit to be retained is raised by one. For example, in normal rounding to the nearest 100, if the last two digits are between 00 and 49, they are changed to 00 and the preceding digit (the hundreds digit) is left unchanged. If the last digits are between 50 and 99 they are changed to 00 and the proceeding digit is incremented by 1;

b) Marginal sub–totals and totals in statistical tables are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units using normal rounding;

c) Averages, proportions, rates and percentages are to be computed from unrounded components (i.e., numerators and/or denominators) and then are to be rounded themselves to one decimal using normal rounding. In normal rounding to a single digit, if the final or only digit to be dropped is 0 to 4, the last digit to be retained is not changed. If the first or only digit to be dropped is 5 to 9, the last digit to be retained is increased by 1;

d) Sums and differences of aggregates (or ratios) are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units (or the nearest one decimal) using normal rounding;

e) In instances where, due to technical or other limitations, a rounding technique other than normal rounding is used resulting in estimates to be published or otherwise released that differ from corresponding estimates published by Statistics Canada, users are urged to note the reason for such differences in the publication or release document(s);

f) Under no circumstances are unrounded estimates to be published or otherwise released by users. Unrounded estimates imply greater precision than actually exists.

10.2 Sample weighting guidelines for tabulation

The sample design used for this survey was not self–weighting. That is to say, the sampling weights are not identical for all individuals in the sample. When producing simple estimates, including the production of ordinary statistical tables, users must apply the proper sampling weight. If proper weights are not used, the estimates derived from the data file cannot be considered to be representative of the survey population, and will not correspond to those produced by Statistics Canada.

Users should also note that some software packages might not allow the generation of estimates that exactly match those available from Statistics Canada, because of their treatment of the weight field.

10.2.1 Definitions: categorical estimates, quantitative estimates

Before discussing how the survey data can be tabulated and analyzed, it is useful to describe the two main types of point estimates of population characteristics that can be generated from the data files.

Categorical estimates:
Categorical estimates are estimates of the number or percentage of the surveyed population possessing certain characteristics or falling into some defined category. The number of individuals who smoke daily is an example of such an estimate. An estimate of the number of persons possessing a certain characteristic may also be referred to as an estimate of an aggregate.

Example of categorical question:

At the present do/does …smoke cigarettes daily, occasionally or not at all? (SMK_202)
Daily
Occasionally
Not at all

Quantitative estimates:
Quantitative estimates are estimates of totals or of means, medians and other measures of central tendency of quantities based upon some or all of the members of the surveyed population.

An example of a quantitative estimate is the average number of cigarettes smoked per day by individuals who smoke daily. The numerator is an estimate of the total number of cigarettes smoked per day by individuals who smoke daily, and its denominator is an estimate of the number of individuals who smoke daily.

Example of quantitative question:

How many cigarettes do/does you/he/she smoke each day now? (SMK_204)
Number of cigarettes

10.2.2 Tabulation of categorical estimates

Estimates of the number of people with a certain characteristic can be obtained from the data file by summing the final weights of all records possessing the characteristic of interest.

Proportions and ratios of the form Formule 5  are obtained by:

  1. summing the final weights of records having the characteristic of interest for the numerator (numerator );
  2. summing the final weights of records having the characteristic of interest for the denominator (denominator ); then
  3. dividing the numerator estimate by the denominator estimate.

10.2.3 Tabulation of quantitative estimates

Estimates of sums or averages for quantitative variables can be obtained using the following three steps (only step a) is necessary to obtain the estimate of a sum):

  1. multiplying the value of the variable of interest by the final weight and summing this quantity over all records of interest to obtain the numerator(numerator );
  2. summing the final weights of records having the characteristic of interest for the denominator (denominator ); then
  3. dividing the numerator estimate by the denominator estimate.

For example, to obtain the estimate of the average number of cigarettes smoked each day by individuals who smoke daily, first compute the numerator (numerator ) by summing the product between the value of variable SMK_204 and the weight WTS_M.Next, sum this value over those records with a value of "daily" to the variable SMK_202. The denominator (denominator ) is obtained by summing the final weight of those records with a value of "daily" to the variable SMK_202. Divide (numerator ) by (denominator ) to obtain the average number of cigarettes smoked each day by daily smokers.

10.3 Guidelines for statistical analysis

The CCHS is based upon a complex design, with stratification and multiple stages of selection, and unequal probabilities of selection of respondents. Using data from such complex surveys presents problems to analysts because the survey design and the selection probabilities affect the estimation and variance calculation procedures that should be used.

While many analysis procedures found in statistical packages allow weights to be used, the meaning or definition of the weight in these procedures can differ from what is appropriate in a sample survey framework, with the result that while in many cases the estimates produced by the packages are correct, the variances that are calculated are almost meaningless.

For many analysis techniques (for example linear regression, logistic regression, analysis of variance), a method exists that can make the application of standard packages more meaningful. If the weights on the records are rescaled so that the average weight is one (1), then the results produced by the standard packages will be more reasonable; they still will not take into account the stratification and clustering of the sample's design, but they will take into account the unequal probabilities of selection. The rescaling can be accomplished by using in the analysis a weight equal to the original weight divided by the average of the original weights for the sampled units (people) contributing to the estimator in question.

10.4 Release guidelines

Before releasing and/or publishing any estimate from the data files, users must first determine the number of sampled respondents having the characteristic of interest (for example, the number of respondents who smoke when interested in the proportion of smokers for a given population) in order to ensure that enough observations are available to calculate a quality estimate. For users of the PUMF, if this number is less than 30, the unweighted estimate should not be released regardless of the value of the coefficient of variation for this estimate. For users of the master or share files, it is recommended to have at least 10 observations in the numerator and 20 in the denominator. For weighted estimates, based on sample sizes of 10 or more (30 for the PUMF), users should determine the coefficient of variation of the estimate and follow the guidelines below.

Table 10.1 Sampling variability guidelines

Type of Estimate CV(in%) Guidelines
Acceptable 0.0 ≤ CV ≤ 16.5 Estimates can be considered for general unrestricted release. Requires no special notation.
Marginal 16.6 < CV ≤ 33.3 Estimates can be considered for general unrestricted release but should be accompanied by a warning cautioning subsequent users of the high sampling variability associated with the estimates. Such estimates should be identified by the letter E (or in some other similar fashion).
Unacceptable CV > 33.3 Statistics Canada recommends not to release estimates of unacceptable quality. However, if the user chooses to do so then estimates should be flagged with the letter F (or in some other fashion) and the following warning should accompany the estimates:
“The user is advised that…(specify the data)…do not meet Statistics Canada’s quality standards for this statistical program. Conclusions based on these data will be unreliable and most likely invalid. These data and any consequent findings should not be published. If the user chooses to publish these data or findings, then this disclaimer must be published with the data.”

11.0 Approximate sampling variability tables

In order to supply coefficients of variation that will be applicable to a wide variety of categorical estimates produced from a PUMF and that could be readily accessed by the user, a set of Approximate Sampling Variability Tables will be produced with each PUMF. These "look–up" tables allow the user to obtain an approximate coefficient of variation based on the size of the estimate calculated from the survey data.

The coefficients of variation (CV) are derived using the variance formula for simple random sampling and incorporating a factor which reflects the multi–stage, clustered nature of the sample design. This factor, known as the design effect, was determined by first calculating design effects for a wide range of characteristics and then choosing, for each table produced, a conservative value among all design effects relative to that table. The value chosen was then used to generate a table that applies to the entire set of characteristics.

The Approximate Sampling Variability Tables, along with the design effects, the sample sizes and the population counts that were used to produce them, are provided in the document Approximate Sampling Variability Tables, which is available to the share file and PUMF users. All coefficients of variation in the Approximate Sampling Variability Tables are approximate and, therefore, unofficial. Options concerning the computation of exact coefficients of variation are discussed in sub-section 11.7.

Remember: As indicated in Sampling Variability Guidelines in Section 10.4, if the number of observations on which an estimate is based is less than 30, the weighted estimate should not be released regardless of the value of the coefficient of variation. Coefficients of variation based on small sample sizes are too unpredictable to be adequately represented in the tables.

11.1 How to use the CV tables for categorical estimates

The following rules should enable the user to determine the approximate coefficients of variation from the Sampling Variability Tables for estimates of the number, proportion or percentage of the surveyed population possessing a certain characteristic and for ratios and differences between such estimates.

Rule 1: Estimates of numbers possessing a characteristic (aggregates)

The coefficient of variation depends only on the size of the estimate itself. On the appropriate Approximate Coefficients of Variations Table, locate the estimated number in the left–most column of the table (headed "Numerator of Percentage") and follow the asterisks (if any) across to the first figure encountered. Since not all the possible values for the estimate are available, the smallest value which is the closest must be taken (as an example, if the estimate is equal to 1,700 and the two closest available values are 1,000 and 2,000, the first has to be chosen). This figure is the approximate coefficient of variation.

Rule 2: Estimates of proportions or percentages of people possessing a characteristic

The coefficient of variation of an estimated proportion (or percentage) depends on both the size of the proportion and the size of the numerator upon which the proportion is based. Estimated proportions are relatively more reliable than the corresponding estimates of the numerator of the proportion when the proportion is based upon a sub–group of the population. This is due to the fact that the coefficients of variation of the latter type of estimates are based on the largest entry in a row of a particular table, whereas the coefficients of variation of the former type of estimators are based on some entry (not necessarily the largest) in that same row. (Note that in the tables the CVs decline in value reading across a row from left to right). For example, the estimated proportion of individuals who smoke daily out of those who smoke at all is more reliable than the estimated number who smoke daily.

When the proportion (or percentage) is based upon the total population covered by each specific table, the CV of the proportion is the same as the CV of the numerator of the proportion. In this case, this is equivalent to applying Rule 1.

When the proportion (or percentage) is based upon a subset of the total population (e.g., those who smoke at all), reference should be made to the proportion (across the top of the table) and to the numerator of the proportion (down the left side of the table). Since not all the possible values for the proportion are available, the smallest value which is the closest must be taken (for example, if the proportion is 23% and the two closest values available in the column are 20% and 25%, 20% must be chosen). The intersection of the appropriate row and column gives the coefficient of variation.

Rule 3: Estimates of differences between aggregates or percentages

The standard error of a difference between two estimates is approximately equal to the square root of the sum of squares of each standard error considered separately. That is, the standard error of a difference (Formula 6 ) is:

Formula 7

where estimate 1  is estimate 1, estimate 2  is estimate 2, and and are the coefficients of variation of estimate 1  and estimate 2  respectively. The coefficient of variation of standard error  is given by coefficient of variation . This formula is accurate for the difference between independent populations or subgroups, but is only approximate otherwise. It will tend to overstate the error, if estimate 1  and estimate 2  are positively correlated and understate the error if estimate 1  and estimate 2  are negatively correlated.

Rule 4: Estimates of ratios

In the case where the numerator is a subset of the denominator, the ratio should be converted to a percentage and Rule 2 applied. This would apply, for example, to the case where the denominator is the number of individuals who smoke at all and the numerator is the number of individuals who smoke daily out of those who smoke at all.

Consider the case where the numerator is not a subset of the denominator, as for example, the ratio of the number of individuals who smoke daily or occasionally as compared to the number of individuals who do not smoke at all. The standard deviation of the ratio of the estimates is approximately equal to the square root of the sum of squares of each coefficient of variation considered separately multiplied by ratio of the estimates , where ratio of the estimates  is the ratio of the estimates (Formula 8 ). That is, the standard error of a ratio is:

Formula 9

Where α1 and α2 are the coefficients of variation of estimate 1  and estimate 2  respectively.

The coefficient of variation of ratio of the estimates  is given by Formula 9 . The formula will tend to overstate the error, if estimate 1  and estimate 2  are positively correlated and understate the error if estimate 1  and estimate 2  are negatively correlated.

Rule 5: Estimates of differences of ratios

In this case, Rules 3 and 4 are combined. The CVs for the two ratios are first determined using Rule 4, and then the CV of their difference is found using Rule 3.

11.2 Examples of using the CV tables for categorical estimates

The following "real life" examples are included to assist users in applying the foregoing rules.

Example 1: Estimates of numbers possessing a characteristic (aggregates)

Suppose that a user estimates that 4,722,617 individuals smoke daily in Canada. How does the user determine the coefficient of variation of this estimate?

1) Refer to the CANADA level CV table.

2) The estimated aggregate (4,722,617) does not appear in the left–hand column (the "Numerator of Percentage" column), so it is necessary to use the smallest figure closest to it, namely 4,000,000.

3) The coefficient of variation for an estimated aggregate (expressed as a percentage) is found by referring to the first non–asterisk entry on that row, namely, 1.70%.

4) So the approximate coefficient of variation of the estimate is 1.70%. According to the Sampling Variability Guidelines presented in Section 10.4, the finding that there were 4,722,617 individuals who smoke daily is publishable with no qualifications.

Example 2 : Estimates of proportions or percentages possessing a characteristic

Suppose that the user estimates that 4,722,617/6,081,453=77.7% of individuals in Canada who smoke at all smoke daily. How does the user determine the coefficient of variation of this estimate?

1) Refer to the CANADA level CV table.

2) Because the estimate is a percentage which is based on a subset of the total population (i.e., individuals who smoke at all, that is to say, daily or occasionally), it is necessary to use both the percentage (77.7%) and the numerator portion of the percentage (4,722,617) in determining the coefficient of variation.

3) The numerator (4,722,617) does not appear in the left–hand column (the "Numerator of Percentage" column) so it is necessary to use the smallest figure closest to it, namely 4,000,000. Similarly, the percentage estimate does not appear as any of the column headings, so it is necessary to use the figure closest to it, 70.0%.

4) The figure at the intersection of the row and column used, namely 1.0% is the coefficient of variation (expressed as a percentage) to be used.

5) So the approximate coefficient of variation of the estimate is 1.0%. According to the Sampling Variability Guidelines presented in Section 10.4, the finding that 77.7% of individuals who smoke at all smoke daily can be published with no qualifications.

Example 3 : Estimates of differences between aggregates or percentages

Suppose that a user estimates that, among men, 2,535,367/13,078,499 = 19.4% smoke daily (estimate 1), while for women, this percentage is estimated at 2,187,250 / 13,476,931 = 16.2% (estimate 2). How does the user determine the coefficient of variation of the difference between these two estimates?

1) Using the CANADA level CV table in the same manner as described in example 2 gives the CV for estimate 1 as 2.41.5% (expressed as a percentage), and the CV for estimate 2 as 2.41.5% (expressed as a percentage).

2) Using rule 3, the standard error of a difference (standard error = estimate 2  – estimate 1 ) is :

Formula 8

Where estimate 1  is estimate 1, estimate 2  is estimate 2, and α1 and α2 are the coefficients of variation of estimate 1  and estimate 2  respectively. The standard error of the difference standard error  = (0.194 – 0.162) = 0.032 is :

Formula 9

3) The coefficient of variation of standard error  is given by Formula 10 = 0.0061/0.032 = 0.190.

4) So the approximate coefficient of variation of the difference between the estimates is 12.59.0% (expressed as a percentage). According to the Sampling Variability Guidelines presented in Section 10.4, this estimate can be published but a warning has to be issued with no qualifications.

Example 4 : Estimates of ratios

Suppose that the user estimates that 4,722,617 individuals smoke daily, while 1,358,836 individuals smoke occasionally. The user is interested in comparing the estimate of daily to occasional smokers in the form of a ratio. How does the user determine the coefficient of variation of this estimate?

1) First of all, this estimate is a ratio estimate, where the numerator of the estimate (= estimate 1 ) is the number of individuals who smoke occasionally. The denominator of the estimate (= estimate 2 ) is the number of individuals who smoke daily.

2) Refer to the CANADA level CV table.

3) The numerator of this ratio estimate is 1,358,836. The smallest figure closest to it is 1,000,000. The coefficient of variation for this estimate (expressed as a percentage) is found by referring to the first non–asterisk entry on that row, namely, 3.72.3%.

4) The denominator of this ratio estimate is 4,722,617. The figure closest to it is 4,000,000. The coefficient of variation for this estimate (expressed as a percentage) is found by referring to the first non–asterisk entry on that row, namely, 1.07%.

5) So the approximate coefficient of variation of the ratio estimate is given by rule 4, which is,

Formula 11

,

That is,

Formula 12

where α1 and α2 are the coefficients of variation of estimate 1  and estimate 2  respectively. The obtained ratio of occasional to daily smokers is 1,358,836/4,722,617 which is 0.29:1. The coefficient of variation of this estimate is 4.12.5% (expressed as a percentage), which is releasable with no qualifications, according to the Sampling Variability Guidelines presented in Section 10.4.

11.3 How to use the CV tables to obtain confidence limits

Although coefficients of variation are widely used, a more intuitively meaningful measure of sampling error is the confidence interval of an estimate. A confidence interval constitutes a statement on the level of confidence that the true value for the population lies within a specified range of values. For example a 95% confidence interval can be described as follows: if sampling of the population is repeated indefinitely, each sample leading to a new confidence interval for an estimate, then in 95% of the samples the interval will cover the true population value.

Using the standard error of an estimate, confidence intervals for estimates may be obtained under the assumption that under repeated sampling of the population, the various estimates obtained for a population characteristic are normally distributed about the true population value. Under this assumption, the chances are about 68 out of 100 that the difference between a sample estimate and the true population value would be less than one standard error, about 95 out of 100 that the difference would be less than two standard errors, and about 99 out of 100 that the differences would be less than three standard errors. These different degrees of confidence are referred to as the confidence levels.

Confidence intervals for an estimate, numerator , are generally expressed as two numbers, one below the estimate and one above the estimate, as Formula 13 , where k  is determined depending upon the level of confidence desired and the sampling error of the estimate.

Confidence intervals for an estimate can be calculated directly from the Approximate Sampling Variability Tables by first determining from the appropriate table the coefficient of variation of the estimate numerator , and then using the following formula to convert to a confidence interval (CI):

Formula 14

Where coefficient of variation  is determined coefficient of variation for numerator , and

z = 1 if a 68% confidence interval is desired
z = 1.6 if a 90% confidence interval is desired
z = 2 if a 95% confidence interval is desired
z = 3 if a 99% confidence interval is desired.

Note: Release guidelines presented in section 10.4 which apply to the estimate also apply to the confidence interval. For example, if the estimate is not releasable, then the confidence interval is not releasable either.

11.4 Example of using the CV tables to obtain confidence limits

A 95% confidence interval for the estimated proportion of individuals who smoke daily from those who smoke at all (from example 2, sub–section 11.2) would be calculated as follows:

numerator

= 0.777

z = 2

coefficient of variation

 = 0.016 is the coefficient of variation of this estimate as determined from the tables.

Formula 15

 = {0.777 – (2) (0.777) (0.0061) , 0.777 + (2) (0.777) (0.0061)}

Formula 15

 = {0.7618 , 0.79386}

11.5 How to use the CV tables to do a Z–test

Standard errors may also be used to perform hypothesis testing, a procedure for distinguishing between population parameters using sample estimates. The sample estimates can be numbers, averages, percentages, ratios, etc. Tests may be performed at various levels of significance, where a level of significance is the probability of concluding that the characteristics are different when, in fact, they are identical.

Let estimate 1  and estimate 2  be sample estimates for 2 characteristics of interest. Let the standard error on the difference Formula 16  be symbol . If the ratio of over is between –2 and 2, then no conclusion about the difference between the characteristics is justified at the 5% level of significance. If however, this ratio is smaller than –2 or larger than +2, the observed difference is significant at the 0.05 level.

11.6 Example of using the CV tables to do a Z– test

Let us suppose we wish to test, at 5% level of significance, the hypothesis that there is no difference between the proportion of men who smoke daily AND the proportion of women who smoke daily. From example 3, sub–section 11.2, the standard error of the difference between these two estimates was found to be = 0.00461. Hence,

Formula 16

Since z = 85.25 is greater than 2, it must be concluded that there is a significant difference between the two estimates at the 0.05 level of significance. Note that the two sub–groups compared are considered as being independent, so the test is correct.

11.7 Exact variances/coefficients of variation

All coefficients of variation in the Approximate Sampling Variability Tables (CV Tables) are indeed approximate and, therefore, unofficial.

The computation of exact coefficients of variation is not a straightforward task since there is no simple mathematical formula that would account for all CCHS sampling frame and weighting aspects. Therefore, other methods such as resampling methods must be used in order to estimate measures of precision. Among these methods, the bootstrap method is the one recommended for analysis of CCHS data.

The computation of coefficients of variation (or any other measure of precision) with the use of the bootstrap method requires access to information that is considered confidential and not available on the PUMF. This computation must be done using the Master file. Access to the Master file is discussed in section 12.3.

For the computation of coefficients of variation, the bootstrap method is advised. A macro program, called “Bootvar”, was developed in order to give users easy access to the bootstrap method. The Bootvar program is available in SAS and SPSS formats, and is made up of macros that calculate the variances of totals, ratios, differences between ratios, and linear and logistic regressions.

There are a number of reasons why a user may require an exact variance. A few are given below.

Firstly, if a user desires estimates at a geographic level other than those available in the tables (for example, at the rural/urban level), then the CV tables provided are not adequate. Coefficients of variation of these estimates may be obtained using "domain" estimation techniques through the exact variance program.

Secondly, should a user require more sophisticated analyses such as estimates of parameters from linear regressions or logistic regressions, the CV tables will not provide correct associated coefficients of variation. Although some standard statistical packages allow sampling weights to be incorporated in the analyses, the variances that are produced often do not take into account the stratified and clustered nature of the design properly, whereas the exact variance program would do so.

Thirdly, for estimates of quantitative variables, separate tables are required to determine their sampling error. Since most of the variables for the CCHS are primarily categorical in nature, this has not been done. Thus, users wishing to obtain coefficients of variation for quantitative variables can do so through the exact variance program. As a general rule, however, the coefficient of variation of a quantitative total will be larger than the coefficient of variation of the corresponding category estimate (i.e., the estimate of the number of persons contributing to the quantitative estimate). If the corresponding category estimate is not releasable, the quantitative estimate will not be either. For example, the coefficient of variation of the estimate of the total number of cigarettes smoked each day by individuals who smoke daily would be greater than the coefficient of variation of the corresponding estimate of the number of individuals who smoke daily. Hence if the coefficient of variation of the latter is not releasable, then the coefficient of variation of the corresponding quantitative estimate will also not be releasable.

Lastly, should users find themselves in a position where they can use the CV tables, but this renders a coefficient of variation in the "marginal" range (16.6% – 33.3%), the user should release the associated estimate with a warning cautioning users of the high sampling variability associated with the estimate. This would be a good opportunity to recalculate the coefficient of variation through the exact variance program to find out if it is releasable without a qualifying note. The reason for this is that the coefficients of variation produced by the tables are based on a wide range of variables and are therefore considered crude, whereas the exact variance program would give an exact coefficient of variation associated with the variable in question.

11.8 Release cut–offs for the CCHS

The document Approximate Sampling Variability Table, which is available to the share file and PUMF users, presents tables giving the minimum cut–offs for estimates of totals at the Canada, provincial, health region and CLSC levels and those for various age groups at the Canada level. Estimates smaller than the value given in the "Marginal" column may not be released under any circumstances.

12.0 Microdata Files: Description, Access and Use

The CCHS produces three types of microdata files: master files, share files and public use microdata files (PUMF). Table 12.1 includes the list of all available 2010 and 2009-2010 data files.

12.1 Master files

The master files contain all variables and all records from the survey collected during a collection period. These files are accessible at Statistics Canada for internal use and in Statistics Canada’s Research Data Centres (RDC), and are also subject to custom tabulation requests.

12.1.1 Research Data Centre

The RDC Program enables researchers to use the survey data in the master files in a secure environment in several universities across Canada. Researchers must submit research proposals that, once approved, give them access to the RDC. For more information, please consult the following web page: RDC

12.1.2 Custom tabulations

Another way to access the master files is to offer all users the option of having staff in Client Services of the Health Statistics Division prepare custom tabulations. This service is offered on a cost–recovery basis. It allows users who do not possess knowledge of tabulation software products to get custom results. The results are screened for confidentiality and reliability concerns before release. For more information, please contact Client Services at 613–951–1746 or by e–mail at: hd–ds@statcan.gc.ca.

12.1.3 Remote access

Finally, the remote access service to the survey master files is another way to have access to these data if, for some reason, the user cannot access a Research Data Centre. Each purchaser of the microdata product can be supplied with a synthetic or ‘dummy’ master file and a corresponding record layout. With these tools, the researcher can develop his own set of analytical computer programs. The code for the custom tabulations is then sent via e–mail to cchs–escc@statcan.gc.ca. The code will then be transferred into Statistics Canada’s internal secured network and processed using the appropriate master file of CCHS data. Estimates generated will be released to the user, subject to meeting the guidelines for analysis and release outlined in Section 10 of this document. Results are screened for confidentiality and reliability concerns and then the output is returned to the client. There is no charge for this service.

12.2 Share files

The share files contain all variables and all records of CCHS respondents who agreed to share their data with Statistic Canada’s partners, which are the provincial and territorial health departments, Health Canada and the Public Health Agency of Canada. Statistics Canada also asks respondents living in Quebec for their permission to share their data with the Institut de la statistique du Québec. The share file is released only to these organizations. Personal identifiers are removed from the share files to respect respondent confidentiality. Users of these files must first certify that they will not disclose, at any time, any information that might identify a survey respondent.

12.3 Public use microdata files

The public use microdata files (PUMF) are developed from the master files using a technique that balances the need to ensure respondent confidentiality with the need to produce the most useful data possible at the health region level. The PUMF must meet stringent security and confidentiality standards required by the Statistics Act before they are released for public access. To ensure that these standards have been achieved, each PUMF goes through a formal review and approval process by an executive committee of Statistics Canada.

Variables most likely to lead to identification of an individual are deleted from the data file or are collapsed to broader categories.

The PUMF contains the data collected over two years. It includes questions that were asked over two years. Unless otherwise specified, these questions are usually those included in the annual common content and in the two-year common content as well as the optional content selected for two years by the provinces and territories.

There is no charge to access the PUMF in a post–secondary educational institution that is part of the Data Liberation Initiative. They are also free of charge from Client Services on request at 613-951-1746 or by e–mail at hd-ds@statcan.gc.ca.

Table 12.1 2009 CCHS data files
Reference period Files File name Sampling weight Bootstrap weights file Variables included Records included
2010 Main master file HS.txt WTS_M b5.txt All common and all optional modules. All respondent records
Share file HS.txt WTS_S b5.txt All common and all optional modules. Records of all respondents who agreed to share their data
2009–2010 Main master file HS.txt WTS_S b5.txt All common annual and 2-yr and optional modules that were selected for 2 years All respondent records
Share file HS.txt WTS_S b5.txt All common annual and 2-yr and optional modules that were selected for 2 years Records of all respondents who agreed to share their data

12.4 How to use the CCHS data files: annual data file or two–year data file?

Since the 2008 and 2007–2008 data were released, users that have access to share files or master files have had the choice of using one–year or two– year data files. Decisions about which period to use in a given data analysis should be guided by the level of detail and the quality required. With a one–year file, estimates will not always available because of the quality associated with limited sample sizes.

Before interpreting and using a CCHS estimate, it is recommended to make sure that the estimates meets the following rules:

  • Coefficient of Variation 33.3% or less
  • a minimum of 10 respondents in the domain with the characteristic and
  • total domain of interest includes at least 20 respondents.

This will not be possible for rare characteristics and detailed domains with one-year files. Instead, users will have to rely on two-year files or multi-year files.

Where the use of either a one–year or two–year file is viable, the user should consider the trade–off between accuracy and currency. If it is important to reflect the current characteristics of a population as closely as possible, the one–year file would be preferable. However, with the increased sample size, more detailed estimates and analyses can be carried out with a two–year file.

12.5 Use of weight variable

The weight variable WTS_M represents the sampling weight for key survey files. For a given respondent, the sampling weight can be interpreted as the number of people the respondent represents in the Canadian population.This weight must always be used when computing statistical estimates in order to make inference at the population level possible.The production of unweighted estimates is not recommended. The sample allocation, as well as the survey design specifics can cause such results to not correctly represent the population. Refer to section 8 on weighting for a more detailed explanation on the creation of this weight. The weight variable WTS_M must be used for regional analyses.

The Food Security module, included in certain reference period data files, measures concepts that apply not only to the respondent’s situation, but also to that of the respondent’s entire household. Depending on the level of analysis, the analysis of the variables may require use of a weight calculated to represent the number of Canadian households, rather than the number of persons. This weight variable WTS_HH is found in a separate file (HS_HHWT.txt). It can be used in place of the variable WTS_M for household analyses at the national and provincial levels.

12.6 Variable naming convention beginning in 2007

The variable naming convention adopted allows data users to easily use and identify the data based on the module and variable type. The CCHS variable naming convention fulfils two requirements: to restrict variable names to a maximum of eight characters for ease of use by analytical software products and to identify easily conceptually identical variables from one survey collection period to the next. Questions to which changes are made between two collection periods, and where the changes alter the concept measured by the question, are entirely renamed to avoid any confusion in the analysis.

The CCHS variable naming convention was changed beginning with the data from the 2007 collection period. The letter corresponding to the survey version (for example, A =2000 ( cycle 1.1), C =2003 cycle 2.1) and E =2005 (3.1) is no longer used in the variable names. A new variable (REFPER, format = YYYYMM–YYYYMM) was added to the microdata files in order to identify the beginning and the end of the reference during which data included in the file were collected. This variable will be useful, notably for users wanting to use data from several collection periods at a time. Therefore, variable names for identical modules or questions from one collection year to the next (example, 2007 and 2008) will be the same.

The naming convention used for variables beginning with the 2007 CCHS use up to eight characters. The variable names are structured as follows:

Positions 1 to 3: Module/questionnaire section name
Position 4: Variable type (underscore, C, D, F or G)
Positions 5 to 8: Question number and answer option for multiple response questions

Example1 shows that the structure of the variable name for question 202, Smoking Module, is SMK_202 :

Positions 1 to 3: SMK Smoking module
Position 4 : _ ( underscore = collected data)
Position 5 to 8: 202 Question number

Example 2 shows the structure of the variable name for question2 of the Health Care Utilization Module (HCU_02A), which is a multi–response question:

Positions 1 to 3: HCU Health care utilization module
Position 4 : _ ( underscore = collected data)
Position 5 to 8: 02AA Corresponding question number and answer option

Positions1 to 3 contain the acronyms for each of the modules. These acronyms appear beside the module names given in the table in AppendixA.

Position 4 designates the variable type based on whether it is a variable collected directly from a questionnaire question (“_”), from a coded (“C”), derived (“D”), grouped (“G”), or flag (“F”) variable.

In general, the last four positions (5 to 8) follow the variable numbering used on the questionnaire. The letter "Q" used to represent the word "question" is removed, and all question numbers are presented in a two or three digit format. For example, question Q01A in the questionnaire becomes simply 01A, and question Q15 becomes simply 15.

Table 12.2 Designation of codes used in the 4th position of the CCHS variable names
_ Collected variable A variable that appears directly on the questionnaire
C Coded variable A variable coded from one or more collected variables (e.g., SIC, Standard Industrial Classification code)
D Derived variable A variable calculated from one or more collected or coded variables, usually calculated during head office processing (e.g., Health Utility Index)
F Flag variable A variable calculated from one or more collected variables (like a derived variable), but usually calculated by the data collection computer application for later use during the interview (e.g., work flag)
G Grouped variable Collected, coded, suppressed or derived variables collapsed into groups (e.g., age groups)

For questions that have more than one response option, the final position in the variable naming sequence is represented by a letter. For this type of question, new variables were created to differentiate between a "yes" or "no" answer for each response option. For example, if Q2 had 4 response options, the new questions would be named Q2A for option 1, Q2B for option 2, Q2C for option 3, etc. If only options 2 and 3 were selected, then Q2A = No, Q2B = Yes, Q2C = Yes and Q2D = No.

12.7 Variable naming convention before 2007

As mentioned earlier, the variable naming convention was changed in 2007. The flag for the cycle in which the variables were collected was removed. This flag was found in the 4th position for 2000 to 2005 data (cycles 1.1 to 3.1).

Here is the list of letters used in the CCHS microdata files between cycles 1.1 and 3.1 and their corresponding cycle.

Letter Cycle and cycle name

A 2000 Cycle 1.1: Canadian Community Health Survey

B 2002 Cycle 1.2: Canadian Community Health Survey – Mental Health and Well–Being

C 2003 Cycle 2.1: Canadian Community Health Survey

D 2004 Cycle 2.2: Canadian Community Health Survey – Nutrition

E 2005 Cycle 3.1: Canadian Community Health Survey

12.8 Guidelines for the use of sub–sample variables – Not applicable to 2010 and 2009–2010 data files

12.9 Data dictionaries

Separate data dictionary reports, including universe statements and frequencies, are provided for the main master file and each of the sub–sample files.

In the master file data dictionary reports, optional content modules are treated in the same way as previous CCHS cycles. For each module, a flag indicates whether a given respondent lives in a health region where the module was selected as optional content. When the flag is equal to 2 (No), all variables in the module have “not applicable” values. For example, the DOWST variable indicates if the Work stress module applies to a given respondent.

12.10 Differences in calculation of common content variables using different files

Variables from common content modules can be estimated using either of the two data files provided, when a one year and a two-year data file is available. Depending on which file is used, very small differences will be observed.

All official Statistics Canada estimates of variables from common modules are based on the main master file sampling weight.

Appendix A

Appendix A – Canadian community health survey content (2009–2010)
Annual common content (allregions)
  • Age of respondent (ANC)
  • Alcohol use (ALC)
  • Chronic conditions (CCC)
  • Exposure to second-hand smoke (ETS)
  • Flu shots (FLU)
  • Fruit and vegetable consumption (FVC)
  • General health (GEN)
  • Health care utilization (HCU)
  • Pain and discomfort (HUP)
  • Height and weight – Self-reported (HWT)
  • Maternal experiences - Breastfeeding (MEX)
  • Fruit and vegetable consumption (FVC)
  • Physical activities (PAC)
  • Restriction of activities (RAC)
  • Smoking (SMK)
Administration and socio–demographic information
  • Administrative information (ADM)
  • Dwelling characteristics (DWL)
  • Education (EDU)
  • Income (INC)
  • Labour force (LBS)
  • Socio–demographic characteristics (SDC)
  • Person most knowledgeable about the household (PMK–2010 only, not in 2009–2010 data file)
Two year / One year common content (allregions)heme content (all regions)
2009–2010:Injuries and Functional Health 2009 Only: Health Service and Access (sub–sample)i 2010 Only: Health Care Utilization and Economic Burden
  • Health Utilities Index (HUI)
  • Activities of daily living (ADL)
  • of protective equipment (UPE)
  • Sexual behaviours (SXB)
  • Injuries (INJ)
  • Access to health care services (ACC)
  • Wait times (WTM)
  • Contacts with health professionals (CHP)
  • Unmet health care needs (UCN)
  • H1N1 Immunization
  • Neurological conditions (NEU)
  • Loss of Productivity (LOP)
  • Fibromyalgia (CC3)
  • Chronic fatigue syndrome and multiple chemical sensitivities (CC4)
Optional content (certain regions)
  • Alcohol use – Dependence (ALD)
  • Alcohol use during the past week (ALW)
  • Blood pressure check (BPC)
  • Breast examination (BRX)
  • Breast self–examination (BSX)
  • Changes made to improve health (CIH)
  • Colorectal cancer screening (CCS)
  • Consultations about mental health (CMH)
  • Dental visits (DEN)
  • Depression (DEP)
  • Diabetes care (DIA)
  • Dietary supplement use – Vitamins and minerals (DSU)
  • Distress (DIS)
  • Driving and safety (DRV)
  • Eye examinations (EYX)
  • Food choices (FDC)
  • Food security (FSC)
  • Health care system satisfaction (HCS)
  • Health status (SF-36) (SFR)
  • Home care services (HMC)
  • Home safety (HMS)
  • Illicit drugs use (IDU)
  • Insurance coverage (INS)
  • Mammography (MAM)
  • Mastery (MAS)
  • Maternal experiences – Alcohol use during pregnancy (MXA)
  • Maternal experiences – Smoking during pregnancy (MXS)
  • Oral health 2 (OH2)
  • Pap smear test (PAP)
  • Patient satisfaction – Community-based care (PSC)
  • Patient satisfaction – Health care services (PAS)
  • Physical activities – Facilities at work (PAF)
  • Problem gambling (CPG)
  • Prostate cancer screening (PSA)
  • Psychological well-being (PWB)
  • Satisfaction with life (SWL)
  • Sedentary activities (SAC)
  • Self-esteem (SFE)
  • Smoking – Other tobacco products (TAL)
  • Smoking – Physician counselling (SPC)
  • Smoking – Stages of change (SCH)
  • Smoking cessation methods (SCA)
  • Social support – Availability (SSA)
  • Social support – Utilization (SSU)
  • Stress – Coping with stress (STC)
  • Stress – Sources (STS)
  • Suicidal thoughts and attempts (SUI)
  • Sun safety behaviours (SSB)
  • Voluntary organizations - Participation (ORG)
Rapid Response
2009
  • Sleep Apnea (SLA) (JanFeb 2009)
  • Osteoporosis (OST) (MarApr 2009)
  • Infertility (IFT) (SepDec 2009)
2010
  • Stigma towards depression (STG) (May – June 2010)
  • Mental Health Experience (MHE) (May – June 2010)
iAsked of a sub–sample of respondents.These theme modules were not asked of respondents in the territories.

Appendix B – Selection of optional content by province and territory (2010 and 2009–2010)

Standard table symbols

Appendix B (2010) – Selection of optional content by province or territory
Optional Modules Newfoundland Prince–Edward–Island Nova–Scotia New Brunswick Quebec Ontario Manitoba Saskatchewan Alberta British Columbia Yukon Northwest Territories Nunavut
Access to health care services (ACC)
Alcohol use – Dependence (ALD)
Alcohol use during the past week (ALW)
Blood pressure check (BPC)
Breast examinations (BRX)
Breast self examinations (BSX)
Changes made to improve health (CIH)
Colorectal cancer screening (CCS)
Consultations about mental health (CMH)
Dental visits (DEN)
Depression (DEP)
Diabetes care (DIA)
Dietary supplement use – Vitamins and minerals (DSU)
Distress (DIS)
Driving and safety (DRV)
Eye examinations (EYX)
Food choices (FDC)
Food security (FSC)
Health care system satisfaction (HCS)
Health status (SF–36) (SFR)
Home care services (HMC)
Home safety (HMS)
Illicit drugs use (IDG)
Insurance coverage (INS)
Mammography (MAM)
Mastery (MAS)
Maternal experiences – Alcohol use during pregnancy (MXA)
Maternal experiences – Smoking during pregnancy (MXS)
Oral health 2 (OH2)
PAP smear test (PAP)
Patient satisfaction – Health care services (PAS)
Patient satisfaction – Community–based care (PSC)
Physical activities – Facilities at work (PAF)
Problem gambling (CPG)
Prostate cancer screening (PSA)
Psychological well-being (PWB)
Satisfaction with life (SWL)
Sedentary activities (SAC)
Self-esteem (SFE)
Smoking – Physician counselling (SPC)
Smoking – Stages of change (SCH)
Smoking cessation methods (SCA)
Social support – Availability (SSA)
Social support – Utilization (SSU)
Stress – Coping with stress (STC)
Stress – Sources (STS)
Suicidal thoughts and attempts (SUI)
Sun safety behaviours (SSB)
Smoking – Other tobacco products (TAL)
Voluntary organizations – Participation (ORG)
Waiting times (WTM)

Note: • denotes selected

Standard table symbols

Appendix B (2009–2010) – Selection of optional content by province or territory
Optional Modules Newfoundland Prince–Edward–Island Nova–Scotia New
Brunswick
Quebec Ontario Manitoba Saskatchewan Alberta British
Columbia
Yukon Northwest
Territories
Nunavut
Access to health care services (ACC)
Alcohol use – Dependence (ALD)
Alcohol use during the past week (ALW)
Blood pressure check (BPC)
Breast examinations (BRX)
Breast self examinations (BSX)
Changes made to improve health (CIH)
Colorectal cancer screening (CCS)
Consultations about mental health (CMH)
Dental visits (DEN)
Depression (DEP)
Diabetes care (DIA)
Dietary supplement use – Vitamins and minerals (DSU)
Distress (DIS)
Driving and safety (DRV)
Eye examinations (EYX)
Food choices (FDC)
Food security (FSC)
Health care system satisfaction (HCS)
Health status (SF–36) (SFR)
Home care services (HMC)
Home safety (HMS)
Illicit drugs use (IDG)
Insurance coverage (INS)
Mammography (MAM)
Mastery (MAS)
Maternal experiences – Alcohol use during pregnancy (MXA)
Maternal experiences – Smoking during pregnancy (MXS)
Oral health 2 (OH2)
PAP smear test (PAP)
Patient satisfaction – Health care services (PAS)
Patient satisfaction – Community–based care (PSC)
Physical activities – Facilities at work (PAF)
Problem gambling (CPG)
Prostate cancer screening (PSA)
Psychological well-being (PWB)
Satisfaction with life (SWL)
Sedentary activities (SAC)
Self-esteem (SFE)
Smoking – Physician counselling (SPC)
Smoking – Stages of change (SCH)
Smoking cessation methods (SCA)
Social support – Availability (SSA)
Social support – Utilization (SSU)
Stress – Coping with stress (STC)
Stress – Sources (STS)
Suicidal thoughts and attempts (SUI)
Sun safety behaviours (SSB)
Smoking – Other tobacco products (TAL)
Voluntary organizations – Participation (ORG)
Waiting times (WTM)

Note: • denotes selected

Appendix C

Appendix C – Available geography in the master and share files and their corresponding codes: Canada, provinces/territories, health regions and peer groups
0 Canada  
10 Newfoundland and Labrador
1011–C   Eastern Regional Integrated Health Authority
1012–I   Central Regional Integrated Health Authority
1013–I   Western Regional Integrated Health Authority
1014–H   Labrador–Grenfell Regional Integrated Health Authority
11 Prince Edward Island
1101–D   Kings County
1102–A   Queens County
1103–C   Prince County
12 Nova Scotia
1201–C   Zone 1
1202–C   Zone 2
1203–C   Zone 3
1204–C   Zone 4
1205–I   Zone 5
1206–A   Zone 6
13 New Brunswick
1301–C   Zone 1
1302–C   Zone 2
1303–C   Zone 3
1304–C   Zone 4
1305–I   Zone 5
1306–I   Zone 6
1307–I   Zone 7
24 Quebec
2401–C   Région du Bas–Saint–Laurent
2402–C   Région du Saguenay – Lac–Saint–Jean
2403–A   Région de la Capitale–Nationale
2404–C   Région de la Mauricie et du Centre–du–Québec
2405–C   Région de l'Estrie
2406–G   Région de Montréal
2407–A   Région de l'Outaouais
2408–C   Région de l'Abitibi–Témiscamingue
2409–H   Région de la Côte–Nord
2410–H   Région du Nord–du–Québec
2411–I   Région de la Gaspésie – Îles–de–la–Madeleine
2412–E   Région de la Chaudière–Appalaches
2413–A   Région de Laval
2414–E   Région de Lanaudière
2415–E   Région des Laurentides
2416–A   Région de la Montérégie
35 Ontario by Local Health Integration Network
3501   Erie St. Clair Health Integration Network
3502   South West Health Integration Network
3503   Waterloo Wellington Health Integration Network
3504   Hamilton Niagara Haldimand Brant Health Integration Network
3505   Central West Health Integration Network
3506   Mississauga Halton Health Integration Network
3507   Toronto Central Health Integration Network
3508   Central Health Integration Network
3509   Central East Health Integration Network
3510   South East Health Integration Network
3511   Champlain Health Integration Network
3512   North Simcoe Muskoka Health Integration Network
3513   North East Health Integration Network
3514   North West Health Integration Network
35 Ontario by Health Unit
3526–C   District of Algoma Health Unit
3527–A   Brant County Health Unit
3530–B   Durham Regional Health Unit
3531–E   Elgin–St. Thomas Health Unit
3533–E   Grey Bruce Health Unit
3534–E   Haldimand–Norfolk Health Unit
3535–E   Haliburton, Kawartha, Pine Ridge District Health Unit
3536–B   Halton Regional Health Unit
3537–A   City of Hamilton Health Unit
3538–A   Hastings and Prince Edward Counties Health Unit
3539–E   Huron County Health Unit
3540–A   Chatham–Kent Health Unit
3541–A   Kingston, Frontenac and Lennox and Addington Health Unit
3542–A   Lambton Health Unit
3543–E   Leeds, Grenville and Lanark District Health Unit
3544–A   Middlesex–London Health Unit
3546–A   Niagara Regional Area Health Unit
3547–C   North Bay Parry Sound District Health Unit
3549–H   Northwestern Health Unit
3551–B   City of Ottawa Health Unit
3552–E   Oxford County Health Unit
3553–B   Peel Regional Health Unit
3554–E   Perth District Health Unit
3555–A   Peterborough County–City Health Unit
3556–H   Porcupine Health Unit
3557–E   Renfrew County and District Health Unit
3558–E   Eastern Ontario Health Unit
3560–E   Simcoe Muskoka District Health Unit
3561–C   Sudbury and District Health Unit
3562–C   Thunder Bay District Health Unit
3563–C   Timiskaming Health Unit
3565–B   Waterloo Health Unit
3566–B   Wellington–Dufferin–Guelph Health Unit
3568–B   Windsor–Essex County Health Unit
3570–B   York Regional Health Unit
3595–G   City of Toronto Health Unit
46 Manitoba
4610–A   Winnipeg Regional Health Authority
4615–A   Brandon Regional Health Authority
4620–E   North Eastman Regional Health Authority
4625–E   South Eastman Regional Health Authority
4630–E   Interlake Regional Health Authority
4640–D   Central Regional Health Authority
4645–D   Assiniboine Regional Health Authority
4660–D   Parkland Regional Health Authority
4670–H   NOR-MAN Regional Health Authority
4685–F   Burntwood/Churchill
47 Saskatchewan
4701–D   Sun Country Regional Health Authority
4702–D   Five Hills Regional Health Authority
4703–D   Cypress Regional Health Authority
4704–A   Regina Qu'Appelle Regional Health Authority
4705–D   Sunrise Regional Health Authority
4706–A   Saskatoon Regional Health Authority
4707–D   Heartland Regional Health Authority
4708–D   Kelsey Trail Regional Health Authority
4709–C   Prince Albert Parkland Regional Health Authority
4710–H   Prairie North Regional Health Authority
4714–F   Mamawetan/Keewatin/Athabasca
48 Alberta
4831–A   South Zone
4832–B   Calgary Zone
4833–E   Central Zone
4834–B   Edmonton Zone
4835–E   North Zone
59 British Columbia
5911–E   East Kootenay Health Service Delivery Area
5912–C   Kootenay–Boundary Health Service Delivery Area
5913–A   Okanagan Health Service Delivery Area
5914–C   Thompson/Cariboo Health Service Delivery Area
5921–A   Fraser East Health Service Delivery Area
5922–B   Fraser North Health Service Delivery Area
5923–B   Fraser South Health Service Delivery Area
5931–B   Richmond Health Service Delivery Area
5932–G   Vancouver Health Service Delivery Area
5933–B   North Shore/Coast Garibaldi Health Service Delivery Area
5941–A   South Vancouver Island Health Service Delivery Area
5942–A   Central Vancouver Island Health Service Delivery Area
5943–C   North Vancouver Island Health Service Delivery Area
5951–H   Northwest Health Service Delivery Area
5952–H   Northern Interior Health Service Delivery Area
5953–H   Northeast Health Service Delivery Area
60 Yukon
6001–H   Yukon
61 Northwest Territories
6101–H   Northwest Territories
62 Nunavut – 10 largest communities
6201–F   Nunavut – 10 largest communities
A Peer group A
B Peer group B
C Peer group C
D Peer group D
E Peer group E
F Peer group F
G Peer group G
H Peer group H
I Peer group I
J Peer group J

Appendix D (2010) – Sample allocation by health region and frame and by Local Health Integrated Network (LHIN) and frames in the CCHS in Ontario

Standard table symbols

Appendix D (2010) – Sample allocation by health region and frame
Geography Area Frame Phone frames Combined
Province/Territory
Health Region
expected No. of respondents raw sample size expected No. of respondents raw sample size expected No. of respondents raw sample size
Canada
Total 31,092 47,287 34,632 60,424 65,724 107,711
Newfoundland
Total 943 1,384 1,062 1,578 2,005 2,962
1011 381 554 429 642 810 1,196
1012 221 340 249 374 470 714
1013 200 277 225 326 425 603
1014 141 214 159 236 300 450
Prince Edward Island
Total 471 828 530 986 1,001 1,814
1101 84 151 94 184 178 335
1102 216 380 244 446 460 826
1103 171 297 192 356 363 653
Nova Scotia
Total 1,184 1,839 1,337 2,004 2,521 3,843
1201 186 280 210 320 396 600
1202 150 229 170 254 320 483
1203 169 263 191 306 360 569
1204 165 297 185 268 350 565
1205 197 257 223 336 420 593
1206 317 513 358 520 675 1,033
New Brunswick
Total 1,211 1,890 1,364 2,070 2,575 3,960
1301 235 357 265 402 500 759
1302 228 388 257 402 485 790
1303 221 369 249 382 470 751
1304 127 187 143 216 270 403
1305 118 186 132 202 250 388
1306 162 212 183 274 345 486
1307 120 191 135 192 255 383
Quebec
Total 5,520 7,935 6,625 11,778 12,145 19,713
2401 282 372 318 496 600 868
2402 295 426 333 528 628 954
2403 436 659 490 848 926 1,507
2404 377 517 426 630 803 1,147
2405 290 467 328 536 618 1,003
2406 730 1,092 823 1,526 1,553 2,618
2407 303 475 342 612 645 1,087
2408 282 364 318 470 600 834
2409 282 390 318 622 600 1,012
2410 0 0 400 1,176 400 1,176
2411 282 404 318 554 600 958
2412 340 454 383 694 723 1,148
2413 315 462 355 636 670 1,098
2414 337 481 381 636 718 1,117
2415 358 532 403 708 761 1,240
2416 611 840 689 1,106 1,300 1,946
Ontario
Total 10,317 15,867 11,855 20,898 22,172 36,765
3526 200 280 225 406 425 686
3527 190 295 215 364 405 659
3530 383 610 432 706 815 1,316
3531 160 240 180 310 340 550
3533 236 361 266 490 502 851
3534 182 287 204 370 386 657
3535 223 384 252 470 475 854
3536 331 483 374 634 705 1,117
3537 388 626 437 794 825 1,420
3538 221 363 249 406 470 769
3539 139 191 156 286 295 477
3540 188 241 212 368 400 609
3541 237 440 268 472 505 912
3542 204 289 231 440 435 729
3543 223 333 252 420 475 753
3544 353 581 397 644 750 1,225
3546 360 538 405 674 765 1,212
3547 188 301 212 406 400 707
3549 169 302 223 437 392 739
3551 482 797 543 896 1,025 1,693
3552 176 243 199 312 375 555
3553 626 903 706 1,286 1,332 2,189
3554 153 203 172 268 325 471
3555 200 311 225 408 425 719
3556 176 265 199 338 375 603
3557 176 272 199 362 375 634
3558 244 335 276 466 520 801
3560 476 729 631 1,157 1,107 1,886
3561 254 419 286 476 540 895
3562 260 431 389 700 649 1,131
3563 118 214 132 242 250 456
3565 360 551 405 674 765 1,225
3566 273 365 310 488 583 853
3568 336 498 379 668 715 1,166
3570 444 659 500 916 944 1,575
3595 988 1,527 1,114 2,144 2,102 3,671
Manitoba
Total 1,765 2,502 1,985 3,258 3,750 5,760
4610 496 698 559 858 1,055 1,556
4615 132 188 148 216 280 404
4620 118 161 132 242 250 403
4625 141 177 159 256 300 433
4630 162 268 183 330 345 598
4640 188 248 212 318 400 566
4645 167 231 188 286 355 517
4660 125 180 140 228 265 408
4670 118 170 132 230 250 400
4685 118 181 132 294 250 475
Saskatchewan
Total 1,697 2,465 2,163 4,192 3,860 6,657
4701 141 189 159 262 300 451
4702 141 222 159 248 300 470
4703 125 184 140 222 265 406
4704 291 414 329 528 620 942
4705 146 215 164 260 310 475
4706 310 453 350 534 660 987
4707 127 210 143 210 270 420
4708 122 168 138 210 260 378
4709 153 222 172 298 325 520
4710 141 189 159 274 300 463
4714 0 0 250 1,146 250 1,146
Alberta1
Total 2,868 4,538 3,232 5,484 6,100 10,022
4821 240 313 270 434 510 747
4822 195 269 220 356 415 625
4823 656 1,043 739 1,228 1,395 2,271
4824 329 541 371 616 700 1,157
4825 209 297 236 400 445 697
4826 616 1,032 694 1,152 1,310 2,184
4827 254 417 286 528 540 945
4828 219 334 246 420 465 754
4829 150 293 170 350 320 643
British Columbia
Total 3,781 5,921 4,264 7,372 8,045 13,293
5911 143 219 162 286 305 505
5912 146 194 164 268 310 462
5913 277 353 313 528 590 881
5914 235 357 265 418 500 775
5921 244 399 276 456 520 855
5922 357 564 403 706 760 1,270
5923 376 540 424 718 800 1,258
5931 200 293 225 394 425 687
5932 376 644 424 846 800 1,490
5933 256 441 289 558 545 999
5941 317 463 358 610 675 1,073
5942 247 353 278 440 525 793
5943 125 249 140 198 265 447
5951 153 273 172 318 325 591
5952 200 367 225 374 425 741
5903 129 212 146 254 275 466
Yukon
6001 475 779 125 432 600 1,211
Northwest Territories
6101 510 826 90 372 600 1,198
Nunavut
6201 350 512 0 0 350 512
  1. As mentioned in section 5.2, the figures for Alberta are based on the definition of HRs that was used at the time of sampling.
Appendix D (2010) – Sample allocation by Local Health Integrated Network (LHIN) and frames in the CCHS in Ontario
Georaphy Area Frame Phone frames Combined
Province/
LHIN
expected No. of respondents raw sample size expected No. of respondents raw sample size expected No. of respondents raw sample size
Ontario
Total 10,317 15,867 11,856 20,898 22,172 36,765
3501 728 1,028 822 1,476 1,550 2,504
3502 1,205 1,801 1,356 2,304 2,561 4,105
3503 584 843 658 1,068 1,242 1,911
3504 1,221 1,888 1,376 2,372 2,597 4,260
3505 496 712 560 1,012 1,056 1,724
3506 524 776 591 1,062 1,115 1,838
3507 509 820 575 1,120 1,084 1,940
3508 663 989 748 1,386 1,411 2,375
3509 991 1,570 1,117 1,978 2,108 3,548
3510 617 1,043 696 1,196 1,313 2,239
3511 966 1,498 1,091 1,826 2,057 3,324
3512 448 687 599 1,093 1,047 1,780
3513 936 1,479 1,054 1,868 1,990 3,347
3514 429 733 612 1,137 1,041 1,870

Appendix E (2010) - Response rates by health region and frame and Response rates by Local Health Integrated Network (LHIN) and frame in the CCHS in Ontario

Standard table symbols

Appendix E (2010) – Table 9.1 response rates by health region and frame
Geography Area frame Phone frames Combined
Province/Territory/
Health Region
No. in scope HH No. resp. HH HH resp. rates No. pers. select. No. resp. Pers. resp. rates Resp. rates No. in scope HH No. resp. HH HH resp. rates No. pers. select. No. resp. Pers. resp. rates Resp. rates Combined resp. rates
Canada
Total 40,070 33,387 83.3 33,387 30,449 91.2 76.0 48,340 37,928 78.5 37,928 32,742 86.3 67.7 71.5
Newfoundland
Total 1,128 999 88.6 999 934 93.5 82.8 1,327 1,108 83.5 1,108 936 84.5 70.5 76.2
1011 473 414 87.5 414 384 92.8 81.2 556 466 83.8 466 397 85.2 71.4 75.9
1012 255 228 89.4 228 210 92.1 82.4 295 241 81.7 241 204 84.6 69.2 75.3
1013 225 200 88.9 200 192 96.0 85.3 285 247 86.7 247 216 87.4 75.8 80.0
1014 175 157 89.7 157 148 94.3 84.6 191 154 80.6 154 119 77.3 62.3 73.0
Prince Edward Island
Total 641 541 84.4 541 491 90.8 76.6 693 558 80.5 558 482 86.4 69.6 72.9
1101 104 92 88.5 92 82 89.1 78.8 60 39 65.0 39 32 82.1 53.3 69.5
1102 293 233 79.5 233 207 88.8 70.6 383 309 80.7 309 269 87.1 70.2 70.4
1103 244 216 88.5 216 202 93.5 82.8 250 210 84.0 210 181 86.2 72.4 77.5
Nova Scotia
Total 1,496 1,264 84.5 1,264 1,144 90.5 76.5 1,644 1,368 83.2 1,368 1,198 87.6 72.9 74.6
1201 215 198 92.1 198 184 92.9 85.6 261 213 81.6 213 188 88.3 72.0 78.2
1202 199 169 84.9 169 158 93.5 79.4 204 174 85.3 174 156 89.7 76.5 77.9
1203 194 162 83.5 162 154 95.1 79.4 248 208 83.9 208 189 90.9 76.2 77.6
1204 221 188 85.1 188 173 92.0 78.3 215 177 82.3 177 153 86.4 71.2 74.8
1205 216 188 87.0 188 168 89.4 77.8 271 221 81.5 221 191 86.4 70.5 73.7
1206 451 359 79.6 359 307 85.5 68.1 445 375 84.3 375 321 85.6 72.1 70.1
New Brunswick
Total 1,564 1,322 84.5 1,322 1,197 90.5 76.5 1,680 1,416 84.3 1,416 1,232 87.0 73.3 74.9
1301 301 233 77.4 233 209 89.7 69.4 317 263 83.0 263 234 89.0 73.8 71.7
1302 295 246 83.4 246 228 92.7 77.3 332 285 85.8 285 257 90.2 77.4 77.4
1303 304 259 85.2 259 241 93.1 79.3 305 275 90.2 275 238 86.5 78.0 78.7
1304 159 133 83.6 133 117 88.0 73.6 172 137 79.7 137 122 89.1 70.9 72.2
1305 158 146 92.4 146 133 91.1 84.2 160 138 86.3 138 115 83.3 71.9 78.0
1306 185 173 93.5 173 156 90.2 84.3 232 189 81.5 189 157 83.1 67.7 75.1
1307 162 132 81.5 132 113 85.6 69.8 162 129 79.6 129 109 84.5 67.3 68.5
Quebec
Total 6,915 5,740 83.0 5,740 5,340 93.0 77.2 9,324 7,201 77.2 7,201 6,213 86.3 66.6 71.1
2401 285 265 93.0 265 252 95.1 88.4 392 314 80.1 314 274 87.3 69.9 77.7
2402 351 308 87.7 308 299 97.1 85.2 423 336 79.4 336 296 88.1 70.0 76.9
2403 629 513 81.6 513 480 93.6 76.3 748 591 79.0 591 510 86.3 68.2 71.9
2404 429 373 86.9 373 350 93.8 81.6 548 438 79.9 438 391 89.3 71.4 75.8
2405 381 301 79.0 301 270 89.7 70.9 437 361 82.6 361 332 92.0 76.0 73.6
2406 950 714 75.2 714 655 91.7 68.9 1,346 921 68.4 921 763 82.8 56.7 61.8
2407 412 337 81.8 337 310 92.0 75.2 503 401 79.7 401 357 89.0 71.0 72.9
2408 299 266 89.0 266 247 92.9 82.6 402 326 81.1 326 280 85.9 69.7 75.2
2409 329 291 88.4 291 276 94.8 83.9 426 324 76.1 324 273 84.3 64.1 72.7
2410 . . . . . . . 402 325 80.8 325 282 86.8 70.1 70.1
2411 344 316 91.9 316 291 92.1 84.6 432 329 76.2 329 271 82.4 62.7 72.4
2412 394 345 87.6 345 320 92.8 81.2 561 451 80.4 451 394 87.4 70.2 74.8
2413 432 341 78.9 341 317 93.0 73.4 557 415 74.5 415 344 82.9 61.8 66.8
2414 417 331 79.4 331 310 93.7 74.3 543 417 76.8 417 363 87.1 66.9 70.1
2415 483 384 79.5 384 357 93.0 73.9 594 457 76.9 457 392 85.8 66.0 69.5
2416 780 655 84.0 655 606 92.5 77.7 1,010 795 78.7 795 691 86.9 68.4 72.5
Ontario
Total 13,545 11,061 81.7 11,061 9,952 90.0 73.5 17,800 13,590 76.3 13,590 11,574 85.2 65.0 68.7
3526 250 216 86.4 216 199 92.1 79.6 326 264 81.0 264 223 84.5 68.4 73.3
3527 264 219 83.0 219 194 88.6 73.5 297 238 80.1 238 201 84.5 67.7 70.4
3530 557 445 79.9 445 403 90.6 72.4 613 473 77.2 473 399 84.4 65.1 68.5
3531 224 201 89.7 201 192 95.5 85.7 254 199 78.3 199 172 86.4 67.7 76.2
3533 302 263 87.1 263 242 92.0 80.1 377 290 76.9 290 258 89.0 68.4 73.6
3534 241 202 83.8 202 175 86.6 72.6 311 254 81.7 254 218 85.8 70.1 71.2
3535 256 208 81.3 208 187 89.9 73.0 332 267 80.4 267 234 87.6 70.5 71.6
3536 441 357 81.0 357 312 87.4 70.7 553 433 78.3 433 362 83.6 65.5 67.8
3537 547 415 75.9 415 369 88.9 67.5 668 485 72.6 485 404 83.3 60.5 63.6
3538 318 277 87.1 277 233 84.1 73.3 335 261 77.9 261 223 85.4 66.6 69.8
3539 162 143 88.3 143 132 92.3 81.5 212 171 80.7 171 149 87.1 70.3 75.1
3540 205 191 93.2 191 183 95.8 89.3 291 222 76.3 222 197 88.7 67.7 76.6
3541 366 267 73.0 267 231 86.5 63.1 355 284 80.0 284 254 89.4 71.5 67.3
3542 235 199 84.7 199 187 94.0 79.6 352 270 76.7 270 230 85.2 65.3 71.0
3543 292 247 84.6 247 230 93.1 78.8 378 298 78.8 298 268 89.9 70.9 74.3
3544 493 407 82.6 407 375 92.1 76.1 580 449 77.4 449 373 83.1 64.3 69.7
3546 472 396 83.9 396 372 93.9 78.8 576 458 79.5 458 390 85.2 67.7 72.7
3547 227 196 86.3 196 171 87.2 75.3 281 215 76.5 215 184 85.6 65.5 69.9
3549 279 204 73.1 204 176 86.3 63.1 414 325 78.5 325 277 85.2 66.9 65.4
3551 738 561 76.0 561 487 86.8 66.0 788 606 76.9 606 524 86.5 66.5 66.3
3552 221 180 81.4 180 173 96.1 78.3 278 220 79.1 220 197 89.5 70.9 74.1
3553 775 651 84.0 651 559 85.9 72.1 1,097 811 73.9 811 643 79.3 58.6 64.2
3554 178 155 87.1 155 150 96.8 84.3 225 185 82.2 185 164 88.6 72.9 77.9
3555 256 218 85.2 218 201 92.2 78.5 303 230 75.9 230 196 85.2 64.7 71.0
3556 235 195 83.0 195 176 90.3 74.9 290 227 78.3 227 196 86.3 67.6 70.9
3557 209 192 91.9 192 172 89.6 82.3 287 231 80.5 231 206 89.2 71.8 76.2
3558 305 255 83.6 255 229 89.8 75.1 401 317 79.1 317 279 88.0 69.6 72.0
3560 538 430 79.9 430 381 88.6 70.8 1,086 846 77.9 846 721 85.2 66.4 67.9
3561 341 296 86.8 296 262 88.5 76.8 368 292 79.3 292 261 89.4 70.9 73.8
3562 388 283 72.9 283 246 86.9 63.4 699 541 77.4 541 461 85.2 66.0 65.0
3563 134 114 85.1 114 107 93.9 79.9 211 163 77.3 163 141 86.5 66.8 71.9
3565 486 400 82.3 400 370 92.5 76.1 605 471 77.9 471 417 88.5 68.9 72.1
3566 316 275 87.0 275 246 89.5 77.8 410 329 80.2 329 297 90.3 72.4 74.8
3568 422 335 79.4 335 307 91.6 72.7 595 447 75.1 447 366 81.9 61.5 66.2
3570 603 485 80.4 485 428 88.2 71.0 815 571 70.1 571 467 81.8 57.3 63.1
3595 1,269 983 77.5 983 895 91.0 70.5 1,837 1,247 67.9 1,247 1,022 82.0 55.6 61.7
Manitoba
Total 2,168 1,840 84.9 1,840 1,682 91.4 77.6 2,412 2,024 83.9 2,024 1,774 87.6 73.5 75.5
4610 640 496 77.5 496 438 88.3 68.4 734 627 85.4 627 553 88.2 75.3 72.1
4615 169 143 84.6 143 139 97.2 82.2 172 152 88.4 152 134 88.2 77.9 80.1
4620 131 115 87.8 115 106 92.2 80.9 153 130 85.0 130 111 85.4 72.5 76.4
4625 177 158 89.3 158 147 93.0 83.1 202 173 85.6 173 155 89.6 76.7 79.7
4630 187 161 86.1 161 148 91.9 79.1 217 176 81.1 176 158 89.8 72.8 75.7
4640 226 198 87.6 198 183 92.4 81.0 261 224 85.8 224 190 84.8 72.8 76.6
4645 197 182 92.4 182 167 91.8 84.8 217 179 82.5 179 163 91.1 75.1 79.7
4660 140 125 89.3 125 115 92.0 82.1 172 146 84.9 146 127 87.0 73.8 77.6
4670 138 118 85.5 118 107 90.7 77.5 147 112 76.2 112 93 83.0 63.3 70.2
4685 163 144 88.3 144 132 91.7 81.0 137 105 76.6 105 90 85.7 65.7 74.0
Saskatchewan
Total 2,034 1,771 87.1 1,771 1,664 94.0 81.8 2,742 2,244 81.8 2,244 1,985 88.5 72.4 76.4
4701 160 153 95.6 153 151 98.7 94.4 203 171 84.2 171 157 91.8 77.3 84.8
4702 197 178 90.4 178 171 96.1 86.8 207 167 80.7 167 142 85.0 68.6 77.5
4703 140 134 95.7 134 130 97.0 92.9 176 134 76.1 134 120 89.6 68.2 79.1
4704 351 310 88.3 310 284 91.6 80.9 426 347 81.5 347 307 88.5 72.1 76.1
4705 155 142 91.6 142 139 97.9 89.7 209 177 84.7 177 161 91.0 77.0 82.4
4706 390 306 78.5 306 273 89.2 70.0 479 385 80.4 385 334 86.8 69.7 69.9
4707 154 135 87.7 135 131 97.0 85.1 167 143 85.6 143 126 88.1 75.4 80.1
4708 134 120 89.6 120 113 94.2 84.3 148 126 85.1 126 114 90.5 77.0 80.5
4709 192 152 79.2 152 141 92.8 73.4 224 175 78.1 175 158 90.3 70.5 71.9
4710 161 141 87.6 141 131 92.9 81.4 186 160 86.0 160 135 84.4 72.6 76.7
4714 . . . . . . . 317 259 81.7 259 231 89.2 72.9 72.9
Alberta
Total 3,898 3,244 83.2 3,244 2,925 90.2 75.0 4,500 3,571 79.4 3,571 3,084 86.4 68.5 71.6
4831 497 426 85.7 426 400 93.9 80.5 656 533 81.3 533 478 89.7 72.9 76.1
4832 917 796 86.8 796 728 91.5 79.4 1,026 802 78.2 802 682 85.0 66.5 72.6
4833 699 569 81.4 569 517 90.9 74.0 812 644 79.3 644 552 85.7 68.0 70.7
4834 917 727 79.3 727 639 87.9 69.7 988 783 79.3 783 685 87.5 69.3 69.5
4835 868 726 83.6 726 641 88.3 73.8 1,018 809 79.5 809 687 84.9 67.5 70.4
British Columbia
Total 4,977 4,143 83.2 4,143 3,760 90.8 75.5 5,869 4,552 77.6 4,552 3,991 87.7 68.0 71.5
5911 188 167 88.8 167 156 93.4 83.0 226 172 76.1 172 156 90.7 69.0 75.4
5912 162 145 89.5 145 134 92.4 82.7 185 152 82.2 152 132 86.8 71.4 76.7
5913 314 290 92.4 290 275 94.8 87.6 462 374 81.0 374 330 88.2 71.4 78.0
5914 279 245 87.8 245 221 90.2 79.2 320 251 78.4 251 222 88.4 69.4 74.0
5921 347 284 81.8 284 252 88.7 72.6 352 277 78.7 277 247 89.2 70.2 71.4
5922 517 436 84.3 436 402 92.2 77.8 591 451 76.3 451 382 84.7 64.6 70.8
5923 480 396 82.5 396 372 93.9 77.5 587 446 76.0 446 380 85.2 64.7 70.5
5931 247 197 79.8 197 190 96.4 76.9 307 225 73.3 225 183 81.3 59.6 67.3
5932 533 400 75.0 400 376 94.0 70.5 639 457 71.5 457 405 88.6 63.4 66.6
5933 285 222 77.9 222 168 75.7 58.9 442 334 75.6 334 289 86.5 65.4 62.9
5941 417 355 85.1 355 321 90.4 77.0 509 403 79.2 403 360 89.3 70.7 73.5
5942 300 264 88.0 264 242 91.7 80.7 359 293 81.6 293 263 89.8 73.3 76.6
5943 211 174 82.5 174 161 92.5 76.3 165 130 78.8 130 120 92.3 72.7 74.7
5951 205 165 80.5 165 140 84.8 68.3 227 186 81.9 186 167 89.8 73.6 71.1
5952 315 253 80.3 253 216 85.4 68.6 300 242 80.7 242 214 88.4 71.3 69.9
5953 177 150 84.7 150 134 89.3 75.7 198 159 80.3 159 141 88.7 71.2 73.3
Yukon
6001 659 573 86.9 573 541 94.4 82.1 201 167 83.1 167 158 94.6 78.6 81.3
Northwest Territories
6101 641 556 86.7 556 518 93.2 80.8 148 129 87.2 129 115 89.1 77.7 80.2
Nunavut
6201 404 333 82.4 333 301 90.4 74.5 . . . . . . . 74.5
Appendix E (2010) – Table 9.2 Response rate by Local Health Integrated Network (LHIN) and frame in the CCHS in Ontario
Geography Area frame Phone frames Combined
Province/
LHIN
No. in scope HH No. resp. HH HH resp. rates No. pers. select. No. resp. Pers. resp. rates Resp. rates No. in scope HH No. resp. HH HH resp. rates No. pers. select. No. resp. Pers. resp. rates Resp. rates Combined resp. rates
Ontario
Total 13,545 11,061 81.7 11,061 9,952 90.0 73.5 17,800 13,590 76.3 13,590 11,574 85.2 65.0 68.7
3501 862 725 84.1 725 677 93.4 78.5 1,238 939 75.8 939 793 84.5 64.1 70.0
3502 1,561 1,332 85.3 1,332 1,244 93.4 79.7 1,918 1,510 78.7 1,510 1,308 86.6 68.2 73.4
3503 757 641 84.7 641 587 91.6 77.5 929 731 78.7 731 653 89.3 70.3 73.5
3504 1,666 1,342 80.6 1,342 1,210 90.2 72.6 2,008 1,554 77.4 1,554 1,319 84.9 65.7 68.8
3505 574 474 82.6 474 395 83.3 68.8 870 634 72.9 634 509 80.3 58.5 62.6
3506 727 605 83.2 605 538 88.9 74.0 918 695 75.7 695 558 80.3 60.8 66.6
3507 600 468 78.0 468 432 92.3 72.0 926 634 68.5 634 529 83.4 57.1 63.0
3508 930 735 79.0 735 664 90.3 71.4 1,243 872 70.2 872 715 82.0 57.5 63.5
3509 1,320 1,069 81.0 1,069 961 89.9 72.8 1,601 1,212 75.7 1,212 1,022 84.3 63.8 67.9
3510 893 723 81.0 723 631 87.3 70.7 995 784 78.8 784 693 88.4 69.6 70.1
3511 1,335 1,076 80.6 1,076 951 88.4 71.2 1,546 1,210 78.3 1,210 1,058 87.4 68.4 69.7
3512 466 367 78.8 367 325 88.6 69.7 1,016 785 77.3 785 671 85.5 66.0 67.2
3513 1,187 1,017 85.7 1,017 915 90.0 77.1 1,479 1,164 78.7 1,164 1,008 86.6 68.2 72.1
3514 667 487 73.0 487 422 86.7 63.3 1,113 866 77.8 866 738 85.2 66.3 65.2

Appendix F (2009–2010) – Sample allocation by health region and frame and by Local Health Integrated Network (LHIN) and frames in the CCHS in Ontario

Appendix F (2009–2010) – Sample allocation by health region and frame
Geography Area Frame Phone frames Combined
Province/Territory/
Health Region
expected No. of respondents raw sample size expected No. of respondents raw sample size expected No. of respondents raw sample size
Canada
Total 64,228 95,175 67,258 116,344 131,486 211,519
Newfoundland
Total 1,946 2,788 2,064 3,174 4,010 5,962
1011 786 1,129 834 1,290 1,620 2,419
1012 456 673 484 734 940 1,407
1013 413 559 437 668 850 1,227
1014 291 428 309 482 600 910
Prince Edward Island
Total 972 1,613 1,030 1,934 2,002 3,547
1101 173 310 183 352 356 662
1102 446 746 474 866 920 1,612
1103 353 557 373 716 726 1,273
Nova Scotia
Total 2,445 3,742 2,596 3,924 5,041 7,666
1201 384 586 407 632 791 1,218
1202 310 465 330 506 640 971
1203 349 502 371 576 720 1,078
1204 340 618 360 538 700 1,156
1205 407 541 433 660 840 1,201
1206 655 1,030 695 1,012 1,350 2,042
New Brunswick
Total 2,500 3,830 2,650 4,008 5,150 7,838
1301 485 744 515 786 1,000 1,530
1302 471 791 499 780 970 1,571
1303 456 742 484 748 940 1,490
1304 262 389 278 414 540 803
1305 243 356 257 382 500 738
1306 335 451 355 514 690 965
1307 248 357 262 384 510 741
Quebec
Total 11,394 16,039 12,895 22,776 24,289 38,815
2401 582 755 618 970 1,200 1,725
2402 609 849 647 1,074 1,256 1,923
2403 899 1,306 953 1,574 1,852 2,880
2404 779 1,038 827 1,242 1,606 2,280
2405 599 922 637 1,010 1,236 1,932
2406 1,507 2,206 1,599 2,984 3,106 5,190
2407 626 983 664 1,134 1,290 2,117
2408 582 747 618 926 1,200 1,673
2409 582 795 618 1,180 1,200 1,975
2410 0 0 800 2,424 800 2,424
2411 582 815 618 1,070 1,200 1,885
2412 702 938 744 1,330 1,446 2,268
2413 650 942 690 1,200 1,340 2,142
2414 696 961 740 1,224 1,436 2,185
2415 738 1,068 783 1,332 1,521 2,400
2416 1,261 1,715 1,339 2,102 2,600 3,817
Ontario
Total 21,428 31,763 22,951 40,056 44,379 71,819
3526 413 598 437 742 850 1,340
3527 393 577 417 676 810 1,253
3530 791 1,184 839 1,354 1,630 2,538
3531 330 479 350 586 680 1,065
3533 476 720 518 940 994 1,660
3534 375 577 397 718 772 1,295
3535 461 700 489 884 950 1,584
3536 684 982 726 1,186 1,410 2,168
3537 801 1,248 849 1,490 1,650 2,738
3538 456 680 484 844 940 1,524
3539 287 419 303 562 590 981
3540 388 491 412 698 800 1,189
3541 490 820 520 922 1,010 1,742
3542 422 575 448 806 870 1,381
3543 461 668 489 798 950 1,466
3544 728 1,145 772 1,274 1,500 2,419
3546 743 1,043 787 1,292 1,530 2,335
3547 388 611 412 790 800 1,401
3549 369 637 423 875 792 1,512
3551 995 1,547 1,055 1,706 2,050 3,253
3552 364 488 386 594 750 1,082
3553 1,297 1,852 1,376 2,492 2,673 4,344
3554 316 426 334 514 650 940
3555 413 627 437 792 850 1,419
3556 364 551 386 602 750 1,153
3557 364 550 386 686 750 1,236
3558 504 690 536 862 1,040 1,552
3560 1,036 1,534 1,191 2,231 2,227 3,765
3561 524 812 556 956 1,080 1,768
3562 592 914 720 1,288 1,312 2,202
3563 243 397 257 458 500 855
3565 743 1,111 787 1,274 1,530 2,385
3566 566 747 602 944 1,168 1,691
3568 694 995 736 1,268 1,430 2,263
3570 917 1,286 972 1,786 1,889 3,072
3595 2,040 3,081 2,162 4,166 4,202 7,247
Manitoba
Total 3,642 5,086 3,858 6,246 7,500 11,332
4610 1,024 1,412 1,086 1,644 2,110 3,056
4615 272 388 288 444 560 832
4620 243 329 257 470 500 799
4625 291 382 309 496 600 878
4630 335 540 355 612 690 1,152
4640 388 501 412 594 800 1,095
4645 345 470 365 556 710 1,026
4660 258 370 272 438 530 808
4670 243 352 257 458 500 810
4685 243 341 257 534 500 875
Saskatchewan
Total 3,503 5,020 4,217 8,290 7,720 13,310
4701 291 376 309 490 600 866
4702 291 423 309 512 600 935
4703 258 369 272 444 530 813
4704 601 848 639 1,032 1,240 1,880
4705 301 431 319 488 620 919
4706 640 908 680 1,062 1,320 1,970
4707 262 423 278 426 540 849
4708 252 357 268 414 520 771
4709 316 508 334 604 650 1,112
4710 291 378 309 532 600 910
4714 0 0 500 2,286 500 2,286
Alberta1
Total 5,920 9,028 6,280 10,560 12,200 19,588
4821 495 686 525 842 1,020 1,528
4822 403 528 427 674 830 1,202
4823 1,354 2,039 1,436 2,350 2,790 4,389
4824 679 1,054 721 1,204 1,400 2,258
4825 432 587 458 736 890 1,323
4826 1,271 2,020 1,349 2,298 2,620 4,318
4827 524 821 556 990 1,080 1,811
4828 452 710 478 816 930 1,526
4829 310 585 330 650 640 1,235
British Columbia
Total 7,808 12,013 8,287 13,984 16,095 25,997
5911 296 451 314 550 610 1,001
5912 301 430 319 502 620 932
5913 572 747 608 1,014 1,180 1,761
5914 485 689 515 820 1,000 1,509
5921 504 752 536 858 1,040 1,610
5922 737 1,107 783 1,294 1,520 2,401
5923 776 1,145 824 1,408 1,600 2,553
5931 413 580 438 730 851 1,310
5932 776 1,283 824 1,560 1,600 2,843
5933 529 937 562 1,032 1,091 1,969
5941 655 958 696 1,138 1,351 2,096
5942 510 726 541 824 1,051 1,550
5943 258 430 272 408 530 838
5951 316 584 335 636 651 1,220
5952 413 674 438 734 851 1,408
5903 267 518 284 476 551 994
Yukon
6001 950 1,517 250 738 1,200 2,255
Northwest Territories
6101 1,020 1,642 180 654 1,200 2,296
Nunavut
6201 700 1,092 0 0 700 1,092
  1. As mentioned in section 5.2, the figures for Alberta are based on the definition of HRs that was used at the time of sampling.
Appendix F (2009–2010) – Sample allocation by Local Health Integrated Network (LHIN) and frames in the CCHS in Ontario
Geography Area Frame Phone frames Combined
Province/
LHIN
expected No. of respondents raw sample size expected No. of respondents raw sample size expected No. of respondents raw sample size
Ontario
Total 21,428 31,763 22,952 40,056 44,379 71,819
3501 1,504 2,061 1,596 2,772 3,100 4,833
3502 2,487 3,654 2,635 4,434 5,122 8,088
3503 1,206 1,710 1,278 2,046 2,484 3,756
3504 2,521 3,738 2,673 4,508 5,194 8,246
3505 1,032 1,484 1,093 1,966 2,125 3,450
3506 1,082 1,548 1,148 2,004 2,230 3,552
3507 1,050 1,675 1,115 2,164 2,165 3,839
3508 1,369 1,929 1,453 2,706 2,822 4,635
3509 2,047 3,039 2,169 3,808 4,216 6,847
3510 1,274 1,984 1,352 2,360 2,626 4,344
3511 1,996 2,972 2,118 3,458 4,114 6,430
3512 967 1,446 1,130 2,119 2,097 3,565
3513 1,932 2,970 2,048 3,548 3,980 6,518
3514 961 1,552 1,143 2,163 2,104 3,715

Appendix G (2009–2010) – Response rates by health region and frame and by Local Health Integrated Network (LHIN) and frame in the CCHS in Ontario

Standard table symbols

Appendix G (2009–2010) – Table 9.3 response rates by health region and frame
Geography Area frame Phone frames Combined
Province/Territory/
Health Region
No. in scope HH No. resp. HH HH resp. rates No. pers. select No. resp. Pers. resp. rates Resp. rates No. in scope HH No. resp. HH HH resp. rates No. pers. select No. resp. Pers. resp. rates Resp. rates Combined resp. rates
Canada
Total 80,206 66,694 83.2 66,694 60,924 91.3 76.0 92,465 73,147 79.1 73,147 63,946 87.4 69.2 72.3
Newfoundland
Total 2,269 1,990 87.7 1,990 1,840 92.5 81.1 2,663 2,245 84.3 2,245 1,928 85.9 72.4 76.4
1011 942 800 84.9 800 726 90.8 77.1 1,104 933 84.5 933 799 85.6 72.4 74.5
1012 506 457 90.3 457 420 91.9 83.0 601 500 83.2 500 431 86.2 71.7 76.9
1013 460 417 90.7 417 396 95.0 86.1 563 479 85.1 479 425 88.7 75.5 80.3
1014 361 316 87.5 316 298 94.3 82.5 395 333 84.3 333 273 82.0 69.1 75.5
Prince Edward Island
Total 1,261 1,065 84.5 1,065 961 90.2 76.2 1,338 1,103 82.4 1,103 952 86.3 71.2 73.6
1101 207 182 87.9 182 166 91.2 80.2 115 86 74.8 86 72 83.7 62.6 73.9
1102 601 494 82.2 494 439 88.9 73.0 721 595 82.5 595 514 86.4 71.3 72.1
1103 453 389 85.9 389 356 91.5 78.6 502 422 84.1 422 366 86.7 72.9 75.6
Nova Scotia
Total 3,027 2,572 85.0 2,572 2,325 90.4 76.8 3,204 2,706 84.5 2,706 2,387 88.2 74.5 75.6
1201 438 412 94.1 412 383 93.0 87.4 501 419 83.6 419 376 89.7 75.0 80.8
1202 388 330 85.1 330 306 92.7 78.9 409 350 85.6 350 314 89.7 76.8 77.8
1203 380 318 83.7 318 302 95.0 79.5 445 373 83.8 373 338 90.6 76.0 77.6
1204 468 408 87.2 408 376 92.2 80.3 435 369 84.8 369 322 87.3 74.0 77.3
1205 456 385 84.4 385 347 90.1 76.1 529 434 82.0 434 376 86.6 71.1 73.4
1206 897 719 80.2 719 611 85.0 68.1 885 761 86.0 761 661 86.9 74.7 71.4
New Brunswisk
Total 3,057 2,605 85.2 2,605 2,351 90.2 76.9 3,285 2,803 85.3 2,803 2,484 88.6 75.6 76.2
1301 622 497 79.9 497 448 90.1 72.0 644 547 84.9 547 489 89.4 75.9 74.0
1302 585 488 83.4 488 454 93.0 77.6 644 557 86.5 557 494 88.7 76.7 77.1
1303 558 481 86.2 481 440 91.5 78.9 615 543 88.3 543 489 90.1 79.5 79.2
1304 326 275 84.4 275 245 89.1 75.2 329 277 84.2 277 249 89.9 75.7 75.4
1305 287 262 91.3 262 228 87.0 79.4 309 271 87.7 271 237 87.5 76.7 78.0
1306 388 362 93.3 362 330 91.2 85.1 429 357 83.2 357 306 85.7 71.3 77.8
1307 291 240 82.5 240 206 85.8 70.8 315 251 79.7 251 220 87.6 69.8 70.3
Quebec
Total 14,002 11,529 82.3 11,529 10,752 93.3 76.8 18,091 14,204 78.5 14,204 12,383 87.2 68.4 72.1
2401 599 555 92.7 555 529 95.3 88.3 767 630 82.1 630 553 87.8 72.1 79.2
2402 716 613 85.6 613 585 95.4 81.7 880 730 83.0 730 655 89.7 74.4 77.7
2403 1,237 986 79.7 986 931 94.4 75.3 1,375 1,094 79.6 1,094 965 88.2 70.2 72.6
2404 886 762 86.0 762 714 93.7 80.6 1,074 870 81.0 870 784 90.1 73.0 76.4
2405 735 566 77.0 566 524 92.6 71.3 828 692 83.6 692 631 91.2 76.2 73.9
2406 1,951 1,449 74.3 1,449 1,339 92.4 68.6 2,604 1,843 70.8 1,843 1,533 83.2 58.9 63.1
2407 829 675 81.4 675 620 91.9 74.8 941 759 80.7 759 680 89.6 72.3 73.4
2408 618 547 88.5 547 509 93.1 82.4 800 655 81.9 655 573 87.5 71.6 76.3
2409 675 591 87.6 591 566 95.8 83.9 817 624 76.4 624 530 84.9 64.9 73.5
2410 . . . . . . . 964 775 80.4 775 682 88.0 70.7 70.7
2411 685 631 92.1 631 589 93.3 86.0 825 638 77.3 638 543 85.1 65.8 75.0
2412 829 734 88.5 734 687 93.6 82.9 1,102 873 79.2 873 769 88.1 69.8 75.4
2413 860 675 78.5 675 625 92.6 72.7 1,057 809 76.5 809 686 84.8 64.9 68.4
2414 850 690 81.2 690 639 92.6 75.2 1,054 827 78.5 827 719 86.9 68.2 71.3
2415 958 764 79.7 764 696 91.1 72.7 1,091 854 78.3 854 745 87.2 68.3 70.3
2416 1,574 1,291 82.0 1,291 1,199 92.9 76.2 1,912 1,531 80.1 1,531 1,335 87.2 69.8 72.7
Ontario
Total 27,207 22,290 81.9 22,290 20,163 90.5 74.1 33,503 25,846 77.1 25,846 22,332 86.4 66.7 70.0
3526 537 469 87.3 469 432 92.1 80.4 590 475 80.5 475 416 87.6 70.5 75.2
3527 530 438 82.6 438 377 86.1 71.1 549 437 79.6 437 380 87.0 69.2 70.2
3530 1,080 872 80.7 872 791 90.7 73.2 1,179 920 78.0 920 775 84.2 65.7 69.3
3531 427 367 85.9 367 337 91.8 78.9 488 388 79.5 388 337 86.9 69.1 73.7
3533 608 544 89.5 544 506 93.0 83.2 711 551 77.5 551 492 89.3 69.2 75.7
3534 488 397 81.4 397 354 89.2 72.5 592 470 79.4 470 406 86.4 68.6 70.4
3535 472 383 81.1 383 339 88.5 71.8 611 504 82.5 504 442 87.7 72.3 72.1
3536 917 747 81.5 747 671 89.8 73.2 1,041 815 78.3 815 696 85.4 66.9 69.8
3537 1,094 835 76.3 835 742 88.9 67.8 1,258 944 75.0 944 807 85.5 64.1 65.9
3538 594 511 86.0 511 445 87.1 74.9 682 539 79.0 539 465 86.3 68.2 71.3
3539 355 318 89.6 318 299 94.0 84.2 438 359 82.0 359 316 88.0 72.1 77.6
3540 414 389 94.0 389 374 96.1 90.3 538 421 78.3 421 374 88.8 69.5 78.6
3541 700 535 76.4 535 466 87.1 66.6 694 554 79.8 554 497 89.7 71.6 69.1
3542 480 402 83.8 402 374 93.0 77.9 648 519 80.1 519 452 87.1 69.8 73.2
3543 556 467 84.0 467 425 91.0 76.4 697 553 79.3 553 491 88.8 70.4 73.1
3544 974 787 80.8 787 734 93.3 75.4 1,107 857 77.4 857 740 86.3 66.8 70.8
3546 920 769 83.6 769 710 92.3 77.2 1,096 849 77.5 849 742 87.4 67.7 72.0
3547 478 411 86.0 411 359 87.3 75.1 551 431 78.2 431 367 85.2 66.6 70.6
3549 535 390 72.9 390 344 88.2 64.3 712 566 79.5 566 492 86.9 69.1 67.0
3551 1,425 1,050 73.7 1,050 929 88.5 65.2 1,493 1,170 78.4 1,170 1,022 87.4 68.5 66.9
3552 449 380 84.6 380 367 96.6 81.7 535 428 80.0 428 381 89.0 71.2 76.0
3553 1,666 1,409 84.6 1,409 1,236 87.7 74.2 2,157 1,636 75.8 1,636 1,348 82.4 62.5 67.6
3554 389 345 88.7 345 333 96.5 85.6 437 359 82.2 359 319 88.9 73.0 78.9
3555 499 424 85.0 424 387 91.3 77.6 587 455 77.5 455 405 89.0 69.0 72.9
3556 493 405 82.2 405 360 88.9 73.0 515 395 76.7 395 344 87.1 66.8 69.8
3557 420 395 94.0 395 356 90.1 84.8 544 428 78.7 428 380 88.8 69.9 76.3
3558 611 503 82.3 503 461 91.7 75.5 737 576 78.2 576 511 88.7 69.3 72.1
3560 1,188 939 79.0 939 848 90.3 71.4 1,872 1,462 78.1 1,462 1,274 87.1 68.1 69.3
3561 643 563 87.6 563 492 87.4 76.5 749 589 78.6 589 540 91.7 72.1 74.1
3562 782 595 76.1 595 535 89.9 68.4 1,129 883 78.2 883 769 87.1 68.1 68.2
3563 147 125 85.0 125 117 93.6 79.6 392 304 77.6 304 260 85.5 66.3 69.9
3565 979 808 82.5 808 742 91.8 75.8 1,126 880 78.2 880 781 88.8 69.4 72.4
3566 660 583 88.3 583 536 91.9 81.2 780 632 81.0 632 564 89.2 72.3 76.4
3568 853 693 81.2 693 640 92.4 75.0 1,128 853 75.6 853 714 83.7 63.3 68.3
3570 1,175 955 81.3 955 858 89.8 73.0 1,573 1,160 73.7 1,160 973 83.9 61.9 66.6
3595 2,669 2,087 78.2 2,087 1,887 90.4 70.7 3,567 2,484 69.6 2,484 2,060 82.9 57.8 63.3
Manitoba
Total 4,363 3,689 84.6 3,689 3,358 91.0 77.0 4,624 3,883 84.0 3,883 3,467 89.3 75.0 75.9
4610 1,297 1,016 78.3 1,016 901 88.7 69.5 1,420 1,202 84.6 1,202 1,075 89.4 75.7 72.7
4615 358 291 81.3 291 270 92.8 75.4 357 305 85.4 305 273 89.5 76.5 75.9
4620 269 240 89.2 240 223 92.9 82.9 275 235 85.5 235 208 88.5 75.6 79.2
4625 354 305 86.2 305 278 91.1 78.5 384 334 87.0 334 298 89.2 77.6 78.0
4630 376 325 86.4 325 297 91.4 79.0 406 341 84.0 341 312 91.5 76.8 77.9
4640 463 410 88.6 410 379 92.4 81.9 477 401 84.1 401 346 86.3 72.5 77.1
4645 409 373 91.2 373 335 89.8 81.9 437 356 81.5 356 326 91.6 74.6 78.1
4660 269 235 87.4 235 220 93.6 81.8 337 277 82.2 277 247 89.2 73.3 77.1
4670 283 245 86.6 245 228 93.1 80.6 295 239 81.0 239 210 87.9 71.2 75.8
4685 285 249 87.4 249 227 91.2 79.6 236 193 81.8 193 172 89.1 72.9 76.6
Saskatchewan
Total 4,108 3,616 88.0 3,616 3,413 94.4 83.1 5,484 4,491 81.9 4,491 4,036 89.9 73.6 77.7
4701 316 305 96.5 305 299 98.0 94.6 385 322 83.6 322 292 90.7 75.8 84.3
4702 368 328 89.1 328 313 95.4 85.1 429 346 80.7 346 307 88.7 71.6 77.8
4703 282 256 90.8 256 250 97.7 88.7 358 288 80.4 288 258 89.6 72.1 79.4
4704 736 664 90.2 664 607 91.4 82.5 853 687 80.5 687 619 90.1 72.6 77.2
4705 310 282 91.0 282 272 96.5 87.7 388 322 83.0 322 293 91.0 75.5 80.9
4706 780 634 81.3 634 586 92.4 75.1 945 772 81.7 772 682 88.3 72.2 73.5
4707 292 256 87.7 256 249 97.3 85.3 334 278 83.2 278 254 91.4 76.0 80.4
4708 279 251 90.0 251 238 94.8 85.3 309 267 86.4 267 244 91.4 79.0 82.0
4709 435 360 82.8 360 339 94.2 77.9 443 359 81.0 359 331 92.2 74.7 76.3
4710 310 280 90.3 280 260 92.9 83.9 357 301 84.3 301 265 88.0 74.2 78.7
4714 . . . . . . . 683 549 80.4 549 491 89.4 71.9 71.9
Alberta
Total 7,641 6,281 82.2 6,281 5,634 89.7 73.7 8,568 6,809 79.5 6,809 5,984 87.9 69.8 71.7
4831 1,024 862 84.2 862 812 94.2 79.3 1,204 989 82.1 989 889 89.9 73.8 76.3
4832 1,769 1,482 83.8 1,482 1,362 91.9 77.0 1,968 1,549 78.7 1,549 1,345 86.8 68.3 72.4
4833 1,373 1,111 80.9 1,111 1,005 90.5 73.2 1,529 1,229 80.4 1,229 1,079 87.8 70.6 71.8
4834 1,754 1,372 78.2 1,372 1,170 85.3 66.7 1,940 1,526 78.7 1,526 1,347 88.3 69.4 68.1
4835 1,721 1,454 84.5 1,454 1,285 88.4 74.7 1,927 1,516 78.7 1,516 1,324 87.3 68.7 71.5
British Columbia
Total 10,000 8,215 82.2 8,215 7,485 91.1 74.9 11,138 8,581 77.0 8,581 7,553 88.0 67.8 71.1
5911 382 331 86.6 331 307 92.7 80.4 432 329 76.2 329 304 92.4 70.4 75.1
5912 328 297 90.5 297 276 92.9 84.1 371 297 80.1 297 264 88.9 71.2 77.3
5913 659 593 90.0 593 562 94.8 85.3 869 688 79.2 688 615 89.4 70.8 77.0
5914 557 488 87.6 488 447 91.6 80.3 613 486 79.3 486 434 89.3 70.8 75.3
5921 651 539 82.8 539 483 89.6 74.2 656 520 79.3 520 454 87.3 69.2 71.7
5922 990 819 82.7 819 764 93.3 77.2 1,096 822 75.0 822 712 86.6 65.0 70.8
5923 1,015 844 83.2 844 780 92.4 76.8 1,162 886 76.2 886 766 86.5 65.9 71.0
5931 479 395 82.5 395 370 93.7 77.2 589 430 73.0 430 353 82.1 59.9 67.7
5932 1,060 782 73.8 782 741 94.8 69.9 1,209 842 69.6 842 726 86.2 60.0 64.7
5933 617 492 79.7 492 377 76.6 61.1 822 609 74.1 609 535 87.8 65.1 63.4
5941 846 691 81.7 691 633 91.6 74.8 923 728 78.9 728 647 88.9 70.1 72.4
5942 616 522 84.7 522 490 93.9 79.5 668 548 82.0 548 494 90.1 74.0 76.6
5943 355 287 80.8 287 272 94.8 76.6 330 268 81.2 268 246 91.8 74.5 75.6
5951 457 370 81.0 370 325 87.8 71.1 460 371 80.7 371 335 90.3 72.8 72.0
5952 577 436 75.6 436 383 87.8 66.4 580 469 80.9 469 414 88.3 71.4 68.9
5953 411 329 80.0 329 275 83.6 66.9 358 288 80.4 288 254 88.2 70.9 68.8
Yukon
6001 1,236 1,095 88.6 1,095 1,026 93.7 83.0 329 277 84.2 277 256 92.4 77.8 81.9
Northwest Territories
6101 1,245 1,065 85.5 1,065 988 92.8 79.4 238 199 83.6 199 184 92.5 77.3 79.0
Nunavut
6201 790 682 86.3 682 628 92.1 79.5 . . . . . . . 79.5
Appendix G (2009–2010) – Table 9.4 Response rate by Local Health Integrated Network (LHIN) and frame in the CCHS in Ontario
Geography Area frame Phone frames Combined
Province/
Health Region
No. in scope HH No. resp. HH HH resp. rates No. pers. select No. resp. Pers. resp. rates Resp. rates No. in scope HH No. resp. HH HH resp. rates No. pers. select No. resp. Pers. resp. rates Resp. rates Combined resp. rates
Ontario
Total 27,207 22,290 81.9 22,290 20,163 90.5 74.1 33,503 25,846 77.1 25,846 22,332 86.4 66.7 70.0
3501 1,747 1,484 84.9 1,484 1,388 93.5 79.5 2,314 1,793 77.5 1,793 1,540 85.9 66.6 72.1
3502 3,172 2,713 85.5 2,713 2,553 94.1 80.5 3,679 2,915 79.2 2,915 2,561 87.9 69.6 74.6
3503 1,536 1,307 85.1 1,307 1,196 91.5 77.9 1,755 1,391 79.3 1,391 1,246 89.6 71.0 74.2
3504 3,317 2,664 80.3 2,664 2,390 89.7 72.1 3,806 2,943 77.3 2,943 2,543 86.4 66.8 69.3
3505 1,300 1,076 82.8 1,076 926 86.1 71.2 1,693 1,263 74.6 1,263 1,037 82.1 61.3 65.6
3506 1,476 1,241 84.1 1,241 1,121 90.3 75.9 1,761 1,348 76.5 1,348 1,128 83.7 64.1 69.5
3507 1,352 1,042 77.1 1,042 965 92.6 71.4 1,799 1,270 70.6 1,270 1,075 84.6 59.8 64.7
3508 1,789 1,443 80.7 1,443 1,298 90.0 72.6 2,379 1,732 72.8 1,732 1,447 83.5 60.8 65.9
3509 2,537 2,074 81.8 2,074 1,860 89.7 73.3 3,084 2,372 76.9 2,372 2,018 85.1 65.4 69.0
3510 1,682 1,374 81.7 1,374 1,210 88.1 71.9 1,930 1,527 79.1 1,527 1,345 88.1 69.7 70.7
3511 2,624 2,087 79.5 2,087 1,872 89.7 71.3 2,910 2,286 78.6 2,286 2,014 88.1 69.2 70.2
3512 1,060 827 78.0 827 745 90.1 70.3 1,748 1,356 77.6 1,356 1,183 87.2 67.7 68.7
3513 2,298 1,973 85.9 1,973 1,760 89.2 76.6 2,804 2,201 78.5 2,201 1,934 87.9 69.0 72.4
3514 1,317 985 74.8 985 879 89.2 66.7 1,841 1,449 78.7 1,449 1,261 87.0 68.5 67.8

Notes

  1. 1999.Health Information Roadmap: Responding to Needs, Health Canada, Statistics Canada. page 3.
  2. 1999.Health Information Roadmap: Beginning the Journey. Canadian Institute for Health Information/Statistics Canada. ISBN 1–895581–70–2. p.19.
  3. Unless all health regions in Canada select an optional module in the same collection period, which has never happened to date.
  4. The correspondence between the 5 new HRs and the 9 HRs defined at the time of sampling is as follows: HR 4831 (4821 and 4822), HR 4832 (4823), HR 4833 (4824 and 4825), HR 4834 (4826) and HR 4835 (4827, 4828 and 4829).
  5. Except for 2 regions which use a random digit dialing frame (RDD) only (section 5.4.3) and the three territories which use only area frame and random digit dialing frame (RDD) (sections 5.4.1 and 5.4.3).
  6. Statistics Canada (2008).Methodology of the Canadian Labour Force Survey. Statistics Canada.Cat. No. 71–526–XIE.
  7. To reduce listing costs, the sampling process of dwellings was repeated up to 3 times within PSUs already selected in urban areas only. These cases were exceptions, however.
  8. In Nunavut, because of operational difficulties inherent to remote locales, only the 10 largest communities are covered by the survey: Iqaluit, Cambridge Bay, Baker Lake, Arviat, Rankin Inlet, Kugluktuk, Pond Inlet, Cape Dorset, Pangnirtung and Igloolik.
  9. Norris, D.A. and Paton, D.G. (1991). Canada’s General Social Survey: Five Years of Experience, Survey Methodology, 17, 227–240.
  10. Statistics Canada. 1998.Methodology of the Canadian Labour Force Survey. Statistics Canada.Cat. No. 71–526–XPB.
  11. Norris, D.A. and Paton, D.G. 1991. Canada’s General Social Survey: Five Years of Experience.Survey Methodology. 17, 227–240.
  12. Skinner, C.J. and Rao, J.N.K. 1996. Estimation in Dual Frame Surveys with Complex Designs.Journal of the American Statistical Association. 91, 433, 349–356.
  13. Sautory O. Calmar 2: A New Version of the Calmar Calibration Adjustment Program.Proceedings of Statistics Canada Symposium (Statistics Canada, Catalogue no. 11–522–XCB), 2003.
  14. Among the units selected, some are not in–scope for the survey. They are, for examples, vacant, demolished or non–residential dwellings or invalid phone numbers such as phone numbers without service or non–residential lines. These units are identified during the data collection, otherwise, they would have been excluded before the sample selection. These units are not considered in the calculation of response rates.

Canadian Community Health Survey (CCHS)

2009 – 2010 Share File – Approximate Sampling Variability Tables

June 2011

Tables of contents

Input data for sampling variability tables

Provinces, Territories, and Canada
Canada by age group
Health Regions

Approximate sampling variability tables

Canada
Canada by Age Group

Age group 12-19
Age group 20-29
Age group 30-44
Age group 45-64
Age group 65+

Provinces and Territories

Newfoundland
Prince Edward Island
Nova Scotia
New Brunswick
Quebec
Ontario
Manitoba
Saskatchewan
Alberta
British Columbia
Yukon Territory
Northwest Territories
Nunavut

Health Regions

Newfoundland: Eastern Regional Integrated Health Authority (1011)
Newfoundland: Central Regional Integrated Health Authority (1012)
Newfoundland: Western Regional Integrated Health Authority (1013)
Newfoundland: Labrador-Grenfell Regional Integrated Health Authority (1014)
Prince Edward Island: Kings County (1101)
Prince Edward Island: Queens County (1102)
Prince Edward Island: Prince County (1103)
Nova Scotia: Zone 1 (1201)
Nova Scotia: Zone 2 (1202)
Nova Scotia: Zone 3 (1203)
Nova Scotia: Zone 4 (1204)
Nova Scotia: Zone 5 (1205)
Nova Scotia: Zone 6 (1206)
New Brunswick: Zone 1 (1301)
New Brunswick: Zone 2 (1302)
New Brunswick: Zone 3 (1303)
New Brunswick: Zone 4 (1304)
New Brunswick: Zone 5 (1305)
New Brunswick: Zone 6 (1306)
New Brunswick: Zone 7 (1307)
Quebec: Région du Bas-Saint-Laurent (2401)
Quebec: Région du Saguenay–Lac-Saint-Jean (2402)
Quebec: Région de la Capitale-Nationale (2403)
Quebec: Région de la Mauricie et du Centre-du-Québec (2404)
Quebec: Région de l’Estrie (2405)
Quebec: Région de Montréal (2406)
Quebec: Région de l’Outaouais (2407)
Quebec: Région de l’Abitibi-Témiscamingue (2408)
Quebec: Région de la Côte-Nord (2409)
Quebec: Région du Nord-du-Québec (2410)
Quebec: Région de la Gaspésie–Îles-de-la-Madeleine (2411)
Quebec: Région de la Chaudière-Appalaches (2412)
Quebec: Région de Laval (2413)
Quebec: Région de Lanaudière (2414)
Quebec: Région des Laurentides (2415)
Quebec: Région de la Montérégie (2416)
Ontario: The District of Algoma Health Unit (3526)
Ontario: Brant County Health Unit (3527)
Ontario: Durham Regional Health Unit (3530)
Ontario: Elgin-St. Thomas Health Unit (3531)
Ontario: Grey Bruce Health Unit (3533)
Ontario: Haldimand-Norfolk Health Unit (3534)
Ontario: Haliburton, Kawartha, Pine Ridge District Health Unit (3535)
Ontario: Halton Regional Health Unit (3536)
Ontario: City of Hamilton Health Unit (3537)
Ontario: Hastings and Prince Edward Counties Health Unit (3538)
Ontario: Huron County Health Unit (3539)
Ontario: Chatham-Kent Health Unit (3540)
Ontario: Kingston, Frontenac and Lennox and Addington Health Unit (3541)
Ontario: Lambton Health Unit (3542)
Ontario: Leeds, Grenville and Lanark District Health Unit (3543)
Ontario: Middlesex-London Health Unit (3544)
Ontario: Niagara Regional Area Health Unit (3546)
Ontario: North Bay Parry Sound District Health Unit (3547)
Ontario: Northwestern Health Unit (3549)
Ontario: City of Ottawa Health Unit (3551)
Ontario: Oxford County Health Unit (3552)
Ontario: Peel Regional Health Unit (3553)
Ontario: Perth District Health Unit (3554)
Ontario: Peterborough County-City Health Unit (3555)
Ontario: Porcupine Health Unit (3556)
Ontario: Renfrew County and District Health Unit (3557)
Ontario: The Eastern Ontario Health Unit (3558)
Ontario: Simcoe Muskoka District Health Unit (3560)
Ontario: Sudbury and District Health Unit (3561)
Ontario: Thunder Bay District Health Unit (3562)
Ontario: Timiskaming Health Unit (3563)
Ontario: Waterloo Health Unit (3565)
Ontario: Wellington-Dufferin-Guelph Health Unit (3566)
Ontario: Windsor-Essex County Health Unit (3568)
Ontario: York Regional Health Unit (3570)
Ontario: City of Toronto Health Unit (3595)
Manitoba: Winnipeg Regional Health Authority (4610)
Manitoba: Brandon Regional Health Authority (4615)
Manitoba: North Eastman Regional Health Authority (4620)
Manitoba: South Eastman Regional Health Authority (4625)
Manitoba: Interlake Regional Health Authority (4630)
Manitoba: Central Regional Health Authority (4640)
Manitoba: Assiniboine Regional Health Authority (4645)
Manitoba: Parkland Regional Health Authority (4660)
Manitoba: NOR–MAN Regional Health Authority (4670)
Manitoba: Burntwood/Churchill (4685)
Saskatchewan: Sun Country Regional Health Authority (4701)
Saskatchewan: Five Hills Regional Health Authority (4702)
Saskatchewan: Cypress Regional Health Authority (4703)
Saskatchewan: Regina Qu’Appelle Regional Health Authority (4704)
Saskatchewan: Sunrise Regional Health Authority (4705)
Saskatchewan: Saskatoon Regional Health Authority (4706)
Saskatchewan: Heartland Regional Health Authority (4707)
Saskatchewan: Kelsey Trail Regional Health Authority (4708)
Saskatchewan: Prince Albert Parkland Regional Health Authority (4709)
Saskatchewan: Prairie North Regional Health Authority (4710)
Saskatchewan: Mamawetan/Keewatin/Athabasca (4714)
Alberta: South Zone (4831)
Alberta: Calgary Zone (4832)
Alberta: Central Zone (4833)
Alberta: Edmonton Zone (4834)
Alberta: North Zone (4835)
British Columbia: East Kootenay (5911)
British Columbia: Kootenay-Boundary (5912)
British Columbia: Okanagan (5913)
British Columbia: Thompson/Cariboo (5914)
British Columbia: Fraser East (5921)
British Columbia: Fraser North (5922)
British Columbia: Fraser South (5923)
British Columbia: Richmond (5931)
British Columbia: Vancouver (5932)
British Columbia: North Shore/Coast Garibaldi (5933)
British Columbia: South Vancouver Island (5941)
British Columbia: Central Vancouver Island (5942)
British Columbia: North Vancouver Island (5943)
British Columbia: Northwest (5951)
British Columbia: Northern Interior (5952)
British Columbia: Northeast (5953)
Yukon Territory: Yukon Territory (6001)
Northwest Territories: Northwest Territories (6101)
Nunavut: Nunavut (6201)

For the complete document in PDF format, contact Client Services (613-951-1746;hd-ds@statcan.gc.ca), Health Statistics Division

Canadian Community Health Survey (CCHS)

Annual component – 2009–2010
Common Contenet

Derived Variable (DV) Specifications

Table of Contents

ADL Activities of Daily Living (1 DV)
1 ) ADLF6R – Need for help with instrumental activities of daily living

ALC Alcohol use (1 DV)
1 ) ALCDTTM – Type of Drinker (12 Months)

ALD Alcohol use – Dependence (4 DVs)
1 ) ALDDSF – Alcohol Dependence Scale (Short Form Score) – 12–Month
2 ) ALDDPP – Probability of Caseness to Respondents (Alcohol Dependence) – 12–Month
3 ) ALDDINT – Alcohol Interference 12–Month – Mean
4 ) ALDFINT – Flag for Alcohol Interference 12–Month

ALW Alcohol use during the past week (2 DVs)
1 ) ALWDWKY – Weekly Consumption
2 ) ALWDDLY – Average Daily Alcohol Consumption

CCC Chronic conditions (1 DV)
1 ) CCCDDIA – Diabetes type

CHP Contacts with health professionals (2 DVs)
1 ) CHPDMDC – Number of Consultations with Medical Doctor/Paediatrician
2 ) CHPFCOP – Consultations with Health Professionals

CPG Problem gambling (6 DVs)
1 ) CPGFGAM – Gambling Activity – Gambler vs. Non–gambler
2 ) CPGDSEV – Problem Gambling Severity Index (PGSI) – Modified Version
3 ) CPGDTYP – Type of Gambler
4 ) CPGDACT – Number of Types of Gambling Activities in the List Used to Calculate CPGI
5 ) CPGDINT – Gambling Interference – Mean
6 ) CPGFINT – Flag for Gambling Interference

DHH Dwelling and household variables (10 DVs)
1 ) DHHDSAGE – Age of spouse
2 ) DHHDYKD – Number of Persons in Household Less Than 16 Years of Age
3 ) DHHDOKD – Number of Persons in Household 16 or 17 Years of Age
4 ) DHHDLE5 – Number of Persons in Household Less Than 6 Years of Age
5 ) DHHD611 – Number of Persons in Household between 6 and 11 Years of Age
6 ) DHHDL12 – Number of Persons in Household Less Than 12 Years of Age
7 ) DHHDL18 – Number of Persons in Household Less than 18 Years of Age
8 ) DHHDLVG – Living/Family Arrangement of Selected Respondent
9 ) DHHDECF – Economic Family Status (Household Type)
10 ) DHHDHSZ – Household Size

DIS Distress (3 DVs)
1 ) DISDK6 – Distress Scale – K6
2 ) DISDCHR – Chronicity of Distress and Impairment Scale
3 ) DISDDSX – Distress Scale – K10

DPS Depression (4 DVs)
1 ) DPSDSF – Derived Depression Scale – Short Form Score
2 ) DPSDPP – Depression Scale – Probability of Caseness to Respondents
3 ) DPSDWK – Number of Weeks Feeling Depressed – 12–Months
4 ) DPSDMT – Specific Month Last Felt Depressed

DRV Driving and safety (1 DV)
1 ) DRVFSBU – Passenger Seat Belt Use (Motor Vehicle)

DSU Dietary supplement use – Vitamins and minerals (1 DV)
1 ) DSUDCON – Frequency of Consumption of Vitamin or Mineral Supplements

EDU Education (4 DVs)
1 ) EDUDH04 – Highest Level of Education – Household, 4 Levels
2 ) EDUDH10 – Highest Level of Education – Household, 10 Levels
3 ) EDUDR04 – Highest Level of Education – Respondent, 4 Levels
4 ) EDUDR10 – Highest Level of Education – Respondent, 10 Levels

FDC Food choices (3 DVs)
1 ) FDCFAVD – Avoids Certain Foods for Certain Content Reasons
2 ) FDCFCAH – Chooses or Avoids Certain Foods Because of Certain Health Concerns
3 ) FDCFCHO – Chooses Certain Foods for Certain Content Reasons

FSC Food security (3 DVs)
1 ) FSCDHFS2 – Household Food Security Status – Modified version
2 ) FSCDAFS2 – Food Security – Adult Status
3 ) FSCDCFS2 – Food Security – Child Status

FVC Fruit and vegetable consumption (8 DVs)
1 ) FVCDJUI – Daily Consumption – Fruit Juice
2 ) FVCDFRU – Daily Consumption – Other Fruit
3 ) FVCDSAL – Daily Consumption – Green Salad
4 ) FVCDPOT – Daily Consumption – Potatoes
5 ) FVCDCAR – Daily Consumption – Carrots
6 ) FVCDVEG – Daily Consumption – Other Vegetables
7 ) FVCDTOT – Daily Consumption – Total Fruit and Vegetable
8 ) FVCGTOT – Grouping of Daily Consumption – Total Fruit and Vegetable

GEN General health (3 DVs)
1 ) GENDHDI – Perceived Health
2 ) GENDMHI – Perceived Mental Health
3 ) GENGSWL – Satisfaction with life in general – (G)

GEO Geography variables (18 DVs)
1 ) GEODPC – Postal Code
2 ) GEODHR4 – Health Region
3 ) GEODBCHA – Health Authority – British Columbia
4 ) GEODSHR – Quebec Sub–Health Region
5 ) GEODDHA – Nova Scotia District Health Authority (DHA)
6 ) GEODRHA – Regional Health Authority – Alberta
7 ) GEODLHA – British Columbia Local Health Authority (LHA)
8 ) GEODLHN – Ontario Local Health Integration Network
9 ) GEODDA06 – 2006 Census Dissemination Area (DA)
10 ) GEODFED – 2006 Census Federal Electoral District (FED)
11 ) GEODCSD – 2006 Census Subdivision (CSD)
12 ) GEODCD – 2006 Census Division (CD)
13 ) GEODSAT – Statistical Area Classification Type (SAT)
14 ) GEODCMA6 – 2006 Census Metropolitan Area (CMA)
15 ) GEODPG09 – Peer Group
16 ) GEODUR – Urban–Rural Classification
17 ) GEODUR2 – Urban–Rural Classification – Grouped
18 ) GEODPSZ – Population Size Group

HMC Home care services (1 DV)
1 ) HMCFRHC – Received Home Care

HUI Health utilities index (8 DVs)
1 ) HUIDVIS – Vision Health Status
2 ) HUIDHER – Hearing Health Status
3 ) HUIDSPE – Speech Health Status
4 ) HUIDMOB – Ambulation Health Status
5 ) HUIDDEX – Dexterity Health Status
6 ) HUIDEMO – Emotion Health Status
7 ) HUIDCOG – Cognition Health Status
8 ) HUIDHSI – Health Utilities Index

HUP Health utilities index – Pain and discomfort (1 DV)
1 ) HUPDPAD – Pain Health Status

HWT Height and weight – Self–reported (5 DVs)
1 ) HWTDHTM – Height (Metres) – Self–Reported
2 ) HWTDWTK – Weight (Kilograms) – Self–Reported
3 ) HWTDBMI – Body Mass Index (self–reported)
4 ) HWTDISW – BMI classification for adults aged 18 and over (self–reported) – international standard
5 ) HWTDCOL – BMI classification for children aged 12 to 17 (self–reported) – Cole classification system

IDG Illicit drug use (16 DVs)
1 ) IDGFLCA – Cannabis Drug Use – Lifetime (Including "One Time Only" Use)
2 ) IDGFLCM – Cannabis Drug Use – Lifetime (Excluding "One Time Only" Use)
3 ) IDGFYCM – Cannabis Drug Use – 12 month (Excluding "One Time Only" Use)
4 ) IDGFLCO – Cocaine or Crack Drug Use – Lifetime
5 ) IDGFLAM – Amphetamine (Speed) Drug Use – Lifetime
6 ) IDGFLEX – MDMA (ecstasy) Drug Use – Lifetime
7 ) IDGFLHA – Hallucinogens, PCP or LSD Drug Use – Lifetime
8 ) IDGFLGL – Glue, Gasoline, or Other Solvent Use – Lifetime
9 ) IDGFLHE – Heroin Drug Use – Lifetime
10 ) IDGFLST – Steroid Use – Lifetime
11 ) IDGFLA – Any Illicit Drug Use – Lifetime (Including "One Time Only" Use of Cannabis)
12 ) IDGFLAC – Any Illicit Drug Use – Lifetime (Excluding "One Time Only" Use of Cannabis)
13 ) IDGFYA – Any Illicit Drug Use – 12–Month (Including "One Time Only" Use of Cannabis)
14 ) IDGFYAC – Any Illicit Drug Use – 12–Month (Excluding "One Time Only" Use of Cannabis)
15 ) IDGDINT – Illicit Drug Interference 12–Month – Mean
16 ) IDGFINT – Flag for Illicit Drug Interference – 12–Month

INC Income (6 DVs)
1 ) INCDHH – Total Household Income – All Sources
2 ) INCDPER – Personal Income – All Sources
3 ) INCDADR – Adjusted household income ratio – National level
4 ) INCDRCA – Distribution of household income – National level
5 ) INCDRPR – Distribution of household income – Provincial levl
6 ) INCDRRS – Distribution of household income – Health region level

INJ Injuries (4 DVs)
1 ) INJDTBS – Type of Injury by Body Site
2 ) INJDCAU – Cause of Injury
3 ) INJDCBP – Cause of Injury by Place of Occurrence
4 ) INJDSTT – Injury Status

INW Workplace injury (2 DVs)
1 ) INWDOCG – Injury at Work – Occupation Group
2 ) INWDING – Injury at work – Industry Group

LBS Labour force (5 DVs)
1 ) LBSDHPW – Total usual hours worked per week
2 ) LBSDPFT – Full–time/part–time working status (for total usual hours)
3 ) LBSDWSS – Working status last week
4 ) LBSDING – Industry Group
5 ) LBSDOCG – Occupation Group

MAS Mastery (1 DV)
1 ) MASDM1 – Derived Mastery Scale

MEX Maternal experiences – Breastfeeding (2 DVs)
1 ) MEXDEBF – Length of exclusive breastfeeding
2 ) MEXFEB6 – Exclusively breastfed for at least 6 months (or more)

OH2 Oral health 2 (2 DVs)
1 ) OH2FLIM – Social Limitation Due to Oral Health Status
2 ) OH2FOFP – Oral and Facial Pain and Discomfort

PAC Physical activities (9 DVs)
1 ) PACDEE – Daily Energy Expenditure in Leisure Time Physical Activities
2 ) PACFLEI – Participant In Leisure Time Physical Activity
3 ) PACDFM – Average Monthly Frequency of Leisure Time Physical Activity Lasting Over 15 Minutes
4 ) PACDFR – Frequency of All Leisure Time Physical Activity Lasting Over 15 Minutes
5 ) PACFD – Participant In Daily Leisure Time Physical Activity Lasting Over 15 Minutes
6 ) PACDPAI – Leisure Time Physical Activity Index
7 ) PACDLTI – Transportation and Leisure Time Physical Activity Index
8 ) PACDTLE – Daily Energy Expenditure in Transportation and Leisure Time Physical Activities
9 ) PACFLTI – Participant In Transportation or Leisure Time Physical Activity

PAF Physical activities – Facilities at work (1 DV)
1 ) PAFFACC – Access to Physical Activity Facilities at Work

PWB Psychological well–being (1 DV)
1 ) PWBDPWB – Psychological Well–Being Manifestation Scale (WBMMS)

RAC Restriction of activities (2 DVs)
1 ) RACDIMP – Impact of Health Problems
2 ) RACDPAL – Participation and Activity Limitation

SAC Sedentary activities (2 DVs)
1 ) SACDTOT – Total Number of Hours Per Week Spent In Sedentary Activities
2 ) SACDTER – Total number of hours per week spent in sedentary activities (excluding reading)

SAM Sample variables (2 DVs)
1 ) SAMDSHR – Permission to Share Data
2 ) SAMDLNK – Permission to Link

SCA Smoking cessation methods (1 DV)
1 ) SCADQUI – Attempted/Successful Quitting

SCH Smoking – Stages of change (1 DV)
1 ) SCHDSTG – Smoking Stages of Change (Current and Former Smokers)

SDC Socio–demographic characteristics (10 DVs)
1 ) SDCCCB – Country of birth code
2 ) SDCGCB – Country of birth – grouped
3 ) SDCDLHM – Language(s) spoken at home
4 ) SDCDAIM – Age at time of immigration
5 ) SDCFIMM – Immigration flag
6 ) SDCDRES – Length of time in Canada since immigration
7 ) SDCDLNG – Language(s) in which respondent can converse
8 ) SDCDFL1 – First official language learned and still understood
9 ) SDCDABT – Aboriginal Identity
10 ) SDCDCGT – Cultural / Racial Background

SFE Self–esteem (1 DV)
1 ) SFEDE1 – Derived Self–Esteem Scale

SFR Health status (SF–36) (10 DVs)
1 ) SFRDPFS – Physical Functioning Scale
2 ) SFRDSFS – Social Functioning Scale
3 ) SFRDPRF – Role Functioning (Physical) Scale
4 ) SFRDMRF – Role Functioning (Mental) Scale
5 ) SFRDGMH – General Mental Health Scale
6 ) SFRDVTS – Vitality Scale
7 ) SFRDBPS – Bodily Pain Scale
8 ) SFRDGHP – General Health Perceptions Scale
9 ) SFRDPCS – Summary Measure of Physical Health
10 ) SFRDMCS – Summary Measure of Mental Health

SMK Smoking (3 DVs)
1 ) SMKDSTY – Type of Smoker
2 ) SMKDSTP – Number of Years Since Stopped Smoking Completely
3 ) SMKDYCS – Number of Years Smoked Daily (Current Daily Smokers Only)

SSA Social support – Availability (4 DVs)
1 ) SSADTNG – Tangible Social Support – MOS Subscale
2 ) SSADAFF – Affection – MOS Subscale
3 ) SSADSOC – Positive Social Interaction – MOS Subscale
4 ) SSADEMO – Emotional or Informational Support – MOS Subscale

UPE Use of protective equipment (3 DVs)
1 ) UPEFILS – Wears Protective Equipment when In–Line Skating
2 ) UPEFSKB – Wears Protective Equipment when Skateboarding
3 ) UPEFSNB – Wears Protective Equipment when Snowboarding

WTM Waiting times (9 DVs)
1 ) WTMDSO – Number of Waiting Days to See a Medical Specialist – Seen Specialist
2 ) WTMDSN – Number of Waiting Days to See a Medical Specialist – Not Seen Specialist
3 ) WTMDSA – Number of Acceptable Waiting Days to See a Medical Specialist
4 ) WTMDCO – Number of Waiting Days to Receive Non–Emergency Surgery Surgery Done
5 ) WTMDCN – Number of Waiting Days to Receive Non–Emergency Surgery – Surgery Not Done
6 ) WTMDCA – Number of Acceptable Waiting Days to Receive Non–Emergency Surgery
7 ) WTMDTO – Number of Waiting Days for Diagnostic Test – Test Done
8 ) WTMDTN – Number of Waiting Days for Diagnostic Test – Test Not Done
9 ) WTMDTA – Number of Acceptable Waiting Days for Diagnostic Test

For the complete document in PDF format, contact Client Services (613-951-1746; hd-ds@statcan.gc.ca), Health Statistics Division

TableSelection of optional content by province or territory (2010)

Standard table symbols

Description Newfoundland Prince
Edward
Island
Nova
Scotia
New
Brunswick
Quebec Ontario Manitoba Saskatchewan Alberta British
Columbia
Yukon North
West
Territories
Nunavut
Alcohol use – Dependence (ALD)
Alcohol use during the past week (ALW)
Blood pressure check (BPC)
Breast examinations (BRX)
Breast self examinations (BSX)
Changes made to improve health (CIH)
Colorectal cancer screening (CCS)
Consultations about mental health (CMH)
Dental visits (DEN)
Depression (DEP)
Diabetes care (DIA)
Dietary supplement use – Vitamins and minerals (DSU)
Distress (DIS)
Driving and safety (DRV)
Eye examinations (EYX)
Food choices (FDC)
Food security (FSC)
Health care system satisfaction (HCS)
Health status (SF-36) (SFR)
Home care services (HMC)
Home safety (HMS)
Illicit drugs use (IDG)
Insurance coverage (INS)
Mammography (MAM)
Mastery (MAS)
Maternal experiences – Alcohol use during pregnancy (MXA)
Maternal experiences - Smoking during pregnancy (MXS)
Oral health 2 (OH2)
PAP smear test (PAP)
Patient satisfaction – Community-based care (PSC)
Patient satisfaction – Health care services (PAS)
Physical activities – Facilities at work (PAF)
Problem gambling (CPG)
Prostate cancer screening (PSA)
Psychological well-being (PWB)
Satisfaction with life (SWL)
Sedentary activities (SAC)
Self-esteem (SFE)
Smoking – Other tobacco products (TAL)
Smoking - Physician counselling (SPC)
Smoking - Stages of change (SCH)
Smoking cessation methods (SCA)
Social support – Availability (SSA)
Social support – Utilization (SSU)
Stress – Coping with stress (STC)
Stress – Sources (STS)
Suicidal thoughts and attempts (SUI)
Sun safety behaviours (SSB)
Voluntary organizations – Participation (ORG)

Note: • denotes selected

Canadian community health survey content (2009-2010)

Annual common content (all health regions)

Age of respondent (ANC)
Alcohol use (ALC)
Chronic conditions (CCC)
Exposure to second-hand smoke (ETS)
Flu shots (FLU)
Fruit and vegetable consumption (FVC)
General health (GEN)
Health care utilization (HCU)
Height and weight – Self-reported (HWT)
Maternal experiences - Breastfeeding (MEX)
Pain and discomfort (HUP)
Physical activities (PAC)
Restriction of activities (RAC)
Smoking (SMK)

Administration and socio-demographic information

Administrative information (ADM)
Education (EDU)
Income (INC)
Labour force (LBS)
Person most knowledgeable about the household (PMK) (2010 only, not in 2009–2010 data file)
Socio-demographic characteristics (SDC)

Two-year common content (all health regions)
2009-2010

Injuries and functional health

Activities of daily living (ADL)
Injuries (INJ)
Health Utilities Index (HUI)
Use of protective equipment (UPE)

Sexual behaviours

Sexual behaviours (SXB)

One-year common content (all health regions)

2009: Health Services and Access Survey
(subsample, provinces only)1

Access to health care services (ACC)
Wait times (WTM)

2010: Health Care Utilization

Contacts with health professionals (CHP)
H1N1 Flu shot (H1N)
Neurological conditions (NEU)
Unmet health care needs (UCN)

Economic Burden

Loss of Productivity (LOP)
Chronic fatigue syndrome and multiple chemical sensitivities (CC4)
Fibromyalgia (CC3)

Rapid response

2009

Sleep Apnea (SLA) (JanFeb 2009)
Osteoporosis (OST) (MarApr 2009)
Infertility (IFT) (SepDec 2009)

2010

Stigma towards depression (STG) (May – June 2010)
Osteoporosis (OST) (July – Aug 2010)

Optional content (certain health regions)

2009-2010

Alcohol use - Dependence (ALD)
Alcohol use during the past week (ALW)
Blood pressure check (BPC)
Breast examinations (BRX)
Breast self examinations (BSX)
Changes made to improve health (CIH)
Colorectal cancer screening (CCS)
Consultations about mental health (CMH)
Dental visits (DEN)
Depression (DEP)
Diabetes care (DIA)
Dietary supplement use – Vitamins and minerals (DSU)
Distress (DIS)
Driving and safety (DRV)
Eye examinations (EYX)
Food choices (FDC)
Food security (FSC)
Health care system satisfaction (HCS)
Health status (SF-36) (SFR)
Home care services (HMC)
Home safety (HMS)
Illicit drugs use (IDG)
Insurance coverage (INS)
Mammography (MAM)
Mastery (MAS)
Maternal experiences – Alcohol use during pregnancy (MXA)
Maternal experiences – Smoking during pregnancy (MXS)
Oral health 2 (OH2)
Pap smear test (PAP)
Patient satisfaction – Community-based care (PSC)
Patient satisfaction – Health care services (PAS)
Physical activities – Facilities at work (PAF)
Problem gambling (CPG)
Prostate cancer screening (PSA)
Psychological well-being (PWB)
Satisfaction with life (SWL)
Sendentary activities (SAC)
Self-esteem (SFE)
Smoking - Other tobacco products (TAL)
Smoking - Physician counselling (SPC)
Smoking - Stages of change (SCH)
Smoking cessation methods (SCA)
Social support – Availability (SSA)
Social support – Utilization (SSU)
Stress – Coping with stress (STC)
Stress – Sources (STS)
Suicidal thoughts and attempts (SUI)
Sun safety behaviours (SSB)
Voluntary organizations - Participation (ORG)


Notes:

1. Asked of a sub-sample of respondents. These theme modules were not asked of respondents in the territories.

Interpreting Estimates from the Redesigned Canadian Community Health Survey (CCHS)

By Steven Thomas, senior methodologist, CCHS
and Sylvain Tremblay, senior analyst, CCHS

Abstract

In its attempt to better address user needs and to make better use of the interviewer resources, the regional component of the Canadian Community Health Survey , or the .1 survey, was redesigned to include varying types of content and to collect data continually over time. This change in structure allows for the collection and dissemination of various types of information for various time periods for estimation at various geographical and socio–demographic levels. For the user, this implies that several different products will be available for several different time periods. Proper interpretation of the results is now more crucial than ever as the user will have a choice in the product that they use in their analysis. The choice of product will be based on the characteristics they wish to study and the detail required in the estimates. This paper will clarify how the redesign will impact the user and aid in the proper interpretation of the resulting estimates.

1. The CCHS Redesign

After the release of the 2005 regional component of the Canadian Community Health Survey (CCHS cycle 3.1), the CCHS was redesigned to address two main points: to better address user needs and make better use of collection resources 1. The implementation of a continuous collection technique was the key step in addressing these points. At the same time, a flexible content structure was implemented to allow for varying content to be collected over various time periods. These changes affect the dissemination strategy in the types of content that can be released as well at the frequency of releases. With these changes in place, it was decided that it was a good time to implement certain methodological improvements including the implementation of a more time–efficient process.

1.1 Changes in Collection

The change that has the largest impact on users is the change to the data collection approach of the CCHS. In the past, the CCHS regional component collected data from roughly 130,000 respondents over a 12–month period every two years. Starting in January 2007, data are now continually from roughly 65,000 respondents throughout each year. To ensure that the sample is collected continuously, a new sample of roughly 11,000 respondents is collected every two months where each sample is representative at the health region level for the specific time period. Samples collected in the Territories are representative of the population after 12 months.

1.2 Changes in Content

With the change to a continuous collection approach, it is now possible to collect various types of information (or content) over various time periods. The duration of collection depends on the characteristics of interest and the sample size required. For prevalent characteristics and general domains, the content only needs to be collected for a short time–period before there are enough respondents to produce a quality estimate. For less prevalent characteristics and more detailed domains, the content is collected over an extended time–period in order to obtain an adequate sample of respondents.

The main CCHS content components are still categorized under common and optional content, although the common content is now split into two sub–components: core and theme. While both sub–components are asked of all CCHS respondents, the core content is meant to remain relatively stable over time and the theme content is collected for 12 or 24 months and can rotate back into collection after two, four or six years. The optional content component gives health regions the opportunity to select content that addresses their provincial or regional public health priorities. It can either be collected for one or two years before it is reviewed again.

A new component called Rapid Response is also available which allows the collection of data on emerging health issues from a small sample of respondents over two months of collection (approximately 11,000 respondents). This component, with a maximum duration of 2 minutes, is offered to cost–recovery clients with an immediate need for national–level data.

1.3 Changes in Dissemination

The changes to the collection and content structure of the CCHS have an impact on the dissemination strategy. In the past, information was disseminated every second year after collection of all respondents for the survey. Data files (Master, Share, PUMF) are available for the 2000/2001 (Cycle 1.1), 2003 (Cycle 2.1), and 2005 (Cycle 3.1) reference years. A 6–month file (allowing estimates to be calculated with 65,000 respondents) was produced from the Cycle 3.1 data collected from January 2005 to June 2005.

Beginning in June 2008, with the release of data collected during the 2007 collection period, master and share data files will be released every year. These annual data files will contain about 65,000 respondents, or half the sample size available with previous CCHS data files. These files will include core, theme and optional content collected throughout the year.

In June 2009, two main files will be made available: a main data file based on the 2008 collection period, which will be similar to the main 2007 data file, as well as a main data file based on the 2007–2008 collection period. The 2007–2008 file will be similar in size to files from the previous cycles (approximately 130,000 respondents). It will include core, optional and the theme content collected over the two–year period. One–year themes will not be available on the two–year data file. Also, theme modules collected from sub–sample of respondents will continue to be disseminated in separate files. These files include core content and sub–sample theme modules only. See table 1 for a clarification of what will be available with the 2007 and 2008 releases.

Table 1. Content components included in 2007 and 2008 data files
Files Core content 2007 Theme1 2008 Theme2 2007–2008 Theme Optional content3
2007 Main Yes N/A N/A Yes Yes
Sub–sample Yes Yes N/A No No
2008 Main Yes N/A Yes4 Yes Yes
Sub–sample Yes N/A Yes5 No No
2007–2008 Main Yes No No Yes Yes
1The 2007 theme was comprised of three modules (Patient satisfaction, Access to health care services and Waiting times) which were all asked to a sub–sample of respondents.
2The 2008 theme is formed of a group of modules related to chronic disease screening and a module on measured height and weight. This last module is asked of a sub–sample of respondents.
3This assumes that optional content remains the same for the two years. If not, it will only be included in the file of the year in which it was collected.
4Chronic disease screening.
5Measured height and weight.

In addition to the regular files, rapid response files will be produced for cost–recovery clients. These files will be available to other users upon request and will contain the rapid response content along with core content for a 2–month period.

Public–use Microdata Files (PUMFs) will be released every second year based on two years of collection. The first PUMF will be released Summer 2009 based on the 2007–2008 collection period. Single year PUMFs will not be available.

1.4 Changes in Survey Methodology

With the changes to the collection, content and dissemination strategies, certain changes were made to the methodology used in calculating survey weights. The redesign meant that weights would be produced more frequently and a methodology consistent with continuous collection was required. This evolution was also seen as an opportunity to make certain improvements to the weight adjustments that are used in the process2.

1.4.1 Period weighting

The weights are controlled, as best possible, to ensure that each collection period is equally represented with the weight and the weighted respondents represent the average population for the extended period of the particular release. Estimates represent the average over the time period.

1.4.2 Changes to integration

The CCHS uses a dual frame methodology where respondents are sampled from a telephone list frame and an area frame. Weights are adjusted / integrated to ensure that the population is represented only once. In the past, the weights on the telephone frame were adjusted for undercoverage (no landline, unlisted numbers, etc.) before integration with the area frame to ensure that the area and telephone list frames covered the same population. This required the assumption that those individuals not on the telephone frame were the same as those who were.

Knowing that the characteristics of telephone respondents can differ from those from those not covered by the telephone frame, the integration method has been updated3. Now, telephone frame respondents are integrated only with those units on the area frame who are also on the telephone frame. Those respondents on the area frame who are not on the telephone frame do not have their weights adjusted. This means that for variables affected by mode of collection, the resulting estimates should be more representative of the actual population.

1.4.3 Changes to calibration

The final step of the weighting procedure is to ensure that the weights sum to known population totals through a process known as calibration. These known totals are usually at the health region by age group by sex level. It is generally accepted that by calibrating weights, estimates for totals are more precise than those not calibrated. However, in order to do a proper calibration adjustment, it is suggested to have at least 20 observations in the domain. This should not be a problem with a 2–year file but with the 1–year file it will not be possible to post–stratify in all domains because of the reduced number of respondents. Users will be provided with a list of post–stata with less than 20 observations and corresponding cells will be suppressed from tabular data produced by Statistics Canada.

2. Impact on Users

2.1 More data, more often

Starting with the release of the 2008 and 2007–2008 data in June 2009, users will have the choice of working with one–year or two–year files. Eventually, it will be possible for users to combine these standard files to produce, for example, three–year or four–year files.

2.2 Period estimation

Whether a multi–year, two–year or one–year file is being used, users are encouraged to think of CCHS data as involving period estimation, in which the interviews corresponding to a period of time are combined and an updated sampling weight calculated. An annual estimate of a given characteristic is reflective of the average characteristics of the average population for the time period. In the case of the 2007 file, estimates are reflective of the average from January to December 2007. The result is a period estimate which is different from the snapshot idea that is often presented with most cross–sectional surveys. Technically, this is true only of the Census, where estimates represent a point in time.

The idea of period estimation is simply an extension of the methods used for previous cycles of CCHS, in which a set of interviews conducted over a 12–month period were combined. Similarly, the techniques involved in combined standard one–year or two–year data sets to create customized period estimates will be very similar to those used in combining cycles 1.1, 2.1 and 3.1 of the survey4.

Decisions about which period to use in a given analysis should be guided by the level of detail and the quality required. With a one year file, estimates will not always be available because of the quality associated with the limited sample size. The CCHS recommends having a Coefficient of Variation of less than 33% and having at least 10 respondents in the domain with the characteristic before publishing an estimate. This will not be possible for rare characteristics and detailed domains with a one–year file. Instead, users will have to rely on two–year files or multi–year accumulations.

Where the use of either a one–year or two–year file is viable, the user should consider the trade–off between accuracy and currency. If it is important to reflect the current characteristics of a population as closely as possible, the one–year file would be preferable. With two–year files, year–to–year trends will be masked, just as the seasonal trends are masked in a one–year file. However, with the increased sample size, more detailed estimates and analyses can be carried out.

2.3 Impact on variable naming convention

The variable naming convention has been changed slightly to reflect the fact that the same variable is being collected each year. In the past a letter designating the cycle was included in the variable name. For example, the ‘e’ in ‘ccce_101’ meant that it was the information collected from cycle 3.1. From now on the variable will be labeled ‘ccc_101’. To help users wanting to combine two data files or more, a new variable showing the reference period “REFPER” was added. This variable uses the following format YYYYMMYYYYMM (collection start year and month – collection end year and month).

2.4 Differences in Estimates Compared to the Past

Users should be aware that changes to sampling and the production of sampling weights introduced in 2007 might partially explain differences from previous cycles. In terms of sampling, the sample is controlled to have roughly the same number of respondents collected throughout the year and controlled to ensure that half the sample is from each of the two frames. This is not a dramatic change from the previous releases where the sample was divided into monthly collection periods. In terms of the production of weights, changes made to the process of integrating telephone and area frame samples could have the effect of influencing characteristics which are strongly correlated with having a listed phone number5. Further studies of this possibility are planned.

Highlights

  • Beginning with the June 18, 2008 release, master and share data files will be released every year. These annual files will contain about 65,000 respondents or half the sample size of previous data files. Data files based on two years of data will continue to be produced and will be similar in size to files from the previous cycles (~130,000 respondents).
  • Theme content was introduced with the CCHS redesign. This content is asked of all CCHS respondents and collected for one or two years only.
  • Annual sample files will include core content, annual theme content and the 2–year theme and optional content collected that year. The two year files, will include the core content, the 2–year theme and all optional content collected for two years.
  • Beginning in June 2009, users will have a choice between using one–year or two–year files.
  • With single–year estimates, year–to–year trends can be calculated. Given the idea of continuous collection, each annual estimate is reflective of the average characteristics of the average population for the time period.
  • To estimate rarer characteristics in more detailed domains, the use of two–year files, or even multi–year accumulations, will be necessary to ensure good data quality (33% CV with minimum of 10 respondents having the characteristics).
  • The CCHS variable naming convention has been changed slightly to reflect the fact that the same variable is being collected. The letter designating the cycle (e.g., “e” for cycle 3.1) was dropped from the variable name.

Notes

1. Béland Y., Dale V., Dufour J., Hamel M. The Canadian Community Health Survey: Building on the Success from the Past. 2005 Proceedings of the American Statistical Association Meeting, Survey Research Methods. American Statistical Association, 2005.

2. Sarafin C., Simard M., Thomas S. (2007). A Review of the Weighting Strategy for the Canadian Community Health Survey. 2007 Proceedings of the Survey Methods Section, Statistical Society of Canada Annual Meeting.

3. Skinner, C.J. and Rao, J.N.K. (1996). “Estimation in Dual Frame Surveys with Complex Designs”. Journal of the American Statistical Association, 91, 349–356.

4. Thomas S. Combining Cycles of the Canadian Community Health Survey. Proceedings of Statistics Canada Symposium (Statistics Canada, Catalogue no. 11–522–XIE), 2006.

5. St–Pierre M, Béland Y. Mode effects in the Canadian Community Health Survey: a comparison of CAPI and CATI. 2004 Proceedings of the American Statistical Association Meeting, Survey Research Methods. Toronto: American Statistical Association, 2004.

Canadian Community Health Survey (CCHS)

Household weights documentation

June 2011

  1. Introduction
  2. Weighting overview
  3. Sample weighting

1. Introduction

This document describes the weighting process used in the creation of the household weight for the Canadian Community Health Survey (CCHS). In using this weight, users should note that the survey is designed to represent individuals and not designed to represent households. Certain steps are taken in the design to ensure that the sample is representative of different demographic groups and this may affect how well the sample represents households of different compositions. Also, since the calibration for the household weight is done at the provincial level, it is possible to yield reliable estimates at the national and provincial level only. It is felt that individual responses to certain questions can be used to represent the household. This weight should only be used for variables where it can be assumed that the responses from the individual clearly represent the household and that the response would not be affected by who responded within the household. This is highlighted by the fact that throughout the document, we refer to responding persons. Users must remember that the responses from this selected individual are assumed to represent the household when using the household weight.

Those familiar with the CCHS will notice that these weight adjustments are very similar to those used for other weights that have been produced in the past. A CCHS interview can be seen as a two–part process. First, the interviewer gets the complete roster of the people living within the household (Household Response). Second, (s)he interviews the selected person within the household (Person Response). In the calculation of the household weight, the individual responses are used to represent the household. Nonresponse adjustments for both stages are still included since nonresponse can occur at either part of the interview process. Note that nonresponse adjustments for the household can be based on characteristics of the individual respondent. Since the survey is designed to collect information from the individual, the characteristics of the individual can have an effect on nonresponse of the household.

2. Weighting Overview

In order for estimates produced from survey data to be representative of the covered population and not just the sample itself, users must incorporate the survey weights in their calculations. A survey weight is given to each person included in the final sample, that is, the sample of persons having answered the survey. This weight corresponds to the number of households in the entire population that are represented by the respondent.

The CCHS has recourse to three sampling frames for its sample selection: an area frame acting as the primary frame and two frames formed of telephone numbers complementing the area frame. Since only minor differences differentiate the two frames formed of telephone numbers in terms of weighting, they are treated together. They are referred to as being part of the telephone frame.

The weighting strategy treats both the area and telephone frames independently. Weights resulting from these two frames are afterwards combined into a single set of weights through a step called "integration". After some adjustments, this integrated weight becomes the final weight. Note that depending on the need, one or two frames were used for the selection of the sample within a given health region (HR). The weighting strategy deals with this aspect at the integration step.

3. Sample weighting

As mentioned previously, units from both the area and telephone frames are treated separately up to the integration step. These weighting steps for the household weight, up to and including the integration of the frames, are the same as the steps from the main weight. Please refer to the CCHS User Guide for more information about these steps. The final three weighting steps, person nonresponse, winsorization and calibration, are explained in sub–sections 3.1–3.3.

Although these two frames were used to cover the three territories, some modifications had to be done relative to their use. These modifications substantially affected the weighting of these three regions and they are reported in sub–section 3.4.

Diagram A presents an overview of the different adjustments that are part of the weighting strategy, in the order in which they are applied. A numbering system is used to identify each adjustment applied to the weight and will be used throughout the section. Letters A and T are used as prefixes to refer to adjustments applied to the units on the Area and Telephone frames respectively, while prefix I identifies adjustments applied from the Integration step onwards.

Diagram A: Weighting strategy overview (Household weight)

Diagram A: Weighting strategy overview (Household weight)

3.1 Person–level nonresponse (I2)

A CCHS interview can be seen as a two–part process. First, the interviewer gets the complete roster of the people within the household. Second, (s)he interviews the selected person. In some cases, interviewers can only get through the first part, either because they cannot get in touch with the selected person or because that selected person refuses to be interviewed. Such individuals are defined as person nonrespondents and an adjustment factor must be applied to the weights of the respondents to account for this nonresponse. Using the same methodology that was used in the treatment of household nonresponse (see User Guide, Section 8.2 – A4), the adjustment is applied within response homogeneity groups based on characteristics available for both respondents and non–respondents. All characteristics collected when creating the roster of household members are available for the creation of the groups as well as geographic information and some paradata. The scoring method is used to define the classes. In the end, the following adjustment factor is calculated within each group:

Formula 1

Weight I1 is multiplied by the above adjustment factor to produce weight I2. Nonresponding persons are dropped from the weighting process from this point onward.

3.2 Winsorization (I3)

Following the series of adjustments applied to the respondents, some units may come out with extreme weights compared with other units in the same domain of interest. For the household weights, the domains include province by household size, where household size is defined by: 1–person household, 2–person household and at least 3–person household. Some responding households could represent a large proportion of their province by household size domain or have a large impact on the variance. In order to prevent this, the weights of the outlier units that represent a large proportion of their domain are adjusted downward using a “Winsorization” trimming approach.

3.3 Calibration (I4)

The last step in obtaining the final CCHS household weight is calibration. Calibration is done using the program CALMAR to ensure that the sum of the final weights corresponds to the household estimates defined at the province by household size level. These groups of interest are defined by the sizes: 1–person household, 2–person household and at least 3–person household. At the same time, the weights are seasonally adjusted to ensure that the each two month collection period is equally represented within the sample. In terms of geography, all calibration is at the provincial level only.

The household count estimates are based on the most recent census. The average of these monthly estimates is used to calibrate for each of the province by household size post–strata within a collection period. The weight I3 is therefore adjusted to obtain the final weight I4 with the help of the adjustment factor I4 defined as follows:

Formula 2

Consequently, the weight I4 corresponds to the final CCHS household weight that can be found on the household weight file with the variable name WTS_MHH for the master weight and WTS_SHH for the share weight.

3.4 Particular aspects of the weighting in the three territories

The sampling frame used in the three territories is somewhat different from the one used in the provinces. Therefore the weighting strategy is adapted to comply with these differences. This section summarises the changes applied to the weighting steps in the territories.

For the area frame, an additional stage of selection is added in the territories where each territory is initially stratified into groups of communities and one community is selected within each group. Note that the capital of each territory forms a stratum on its own and is consequently selected automatically at this first stage. This has an effect in the computation of the probability of selection and therefore in the value of the initial weight (A0). Once the initial weight is calculated, the same series of adjustments (A1 to A4) is applied to the area frame units. The household–level adjustment classes are built in the same way as for the provinces, using the same set of variables available.

For the weighting of the telephone frame units, it should first be noted that only the RDD frame is used for the territories, and exclusively in the Yukon and Northwest Territories capitals. All of the standard telephone adjustments are applied.

The two sets of weights (area and telephone) are subsequently integrated and then adjusted for person level nonresponse, winsorization and finally calibrated in a similar way to what is done for the provinces, with the exception of four details. First, the integration is applied only to units located in the Yukon and Northwest Territories capitals since the other communities are covered only by the area frame. Second, for Nunavut, the household counts used for calibration only represent the 10 largest communities (73% of the households) because of the under–coverage of the area frame (for more details, see User Guide, section 5.4.1). Third, in the Yukon and Northwest Territories, starting with the 2008 and 2007/2008 reference periods,calibration is used to control for the proportion of households located inside the capital cities versus the proportion of households located outside of the capital cities. The same approach has been adapted for Nunavut starting in 2009. Finally, due to the differences in collection strategies, the number of collection periods used in calibration for the seasonal effect in the territories is different from the provinces. In 2009, two 6–month periods are used in the three Territories.

3.5 Creation of the Share weight (WTS_SHH)

Along with the master file and PUMF , which contain all CCHS responding persons, a share file is created which contains only a portion (>90%) of the original CCHS responding persons. The individuals on this share file have agreed to share their data with certain partners. To compensate for the loss of some respondents from the file, the weights of these "sharers" must be adjusted by the factor:

Formula 3

Similar to the nonresponse adjustments, this factor is calculated within homogeneity groups, where in this case, individuals with similar estimated propensity to share will be grouped together. The final weight after this adjustment is called WTS_SHH.

3.6 The Food Security Module in 2010

The Food Security Module (FSC) is one of the few modules that are part of the CCHS where it can be appropriate to use the household weights. For 2007–2008, the FSC module was part of the common content, and therefore was asked to respondents in all provinces and territories. For the 2009–2010 collection period, the FSC module is part of optional content and was not selected for some of the provinces. Given this change, it is no longer appropriate to calculate national estimates with variables in this module since the results would only represent those provinces and territories where the module was asked. For more information on optional content selection, please refer to the appendices of the User Guide.

Canadian Community Health Survey (CCHS) – Errata

Date: October 2011

To: CCHS master and share microdata files

Subject: Error corrected in the Smoking Module – Modified version derived variable, SMKDSTY

Product(s) affected: Share and Master microdata files

Year(s) affected: 2001, 2003, 2005, 2007, 2007–2008, 2009

Description of the problem(s):
In 2010, the programming of the response categories for this derived variable was changed. Respondents who answered SMK_202=3, SMK_05D=9, SMK_01A in (7,8), and SMK_01B=1 were being classified as SMKDSTY=5 and should have been classified as SMKDSTY=99. A new condition and brackets were added to ensure that the category was being assigned correctly to all cases.

Suggested correction(s): To correctly process this derived variable for 2001, 2003, 2005, 2007, 2007–2008 and 2009 please use the specifications below.

Correction steps: The correction is highlighted and in bold font.
SKMDSTY = 5 (SMK_202 = 3 AND ((SMK_05D = 2 OR SMK_05D = 6) AND (SMK_01A = 1 OR SMK_01B = 1)))

Contact us: We regret any inconvenience this may have caused you or your organisation and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613-951-1746
Electronic mail: CCHS-ESCC@statcan.gc.ca

Date: October 2011

To: Users of the 2009 and 2009–2010 Master and Share files

Subject: Reversed variable labels

Product(s) affected : 2009 and 2009–2010 Master and share files

Year(s) affected: 2009 and 2009–2010

Description of the problem(s):
Two “Sources of Income” response categories, “Child Tax Benefit” and “Social Assistance or Welfare”, in questions INC_6J and INC_6K were reversed in the 2009 and 2009–2010 master and share files. The 2010 files are not affected.

Suggested correction(s): Users should modify the format programs in order to switch the two answer categories i.e. INC_6J should refer to “Child Tax Benefit” and INC_6K should refer to Social Assistance or Welfare.

Correction steps: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: CCHS-ESCC@statcan.gc.ca

Date: October 2011

To: SAS and SPSS users of 2005–2009 files

Subject: Incorrect variable labels

Product(s) affected : Cycle 3.1(2005) , Cycle 4.1 (2007,2008 and 2007–2008 files) and 2009 master, share, rapid response and BC buy in share

Year(s) affected: 2005,2007,2008,2007–2008,2009

Description of the problem(s):
The labels attached to the EDUDH04 and EDUDR04 variables are incorrect in the layout file provided for SAS and SPSS users. The labels for EDUDH04 and EDUDR04 should be ‘Highest level/edu. – respond (not household) 4 levels – (D)’

Suggested correction(s): Modify the format *._lbe program with the correct label

Correction steps: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: CCHS-ESCC@statcan.gc.ca

Date: June 2011

To: Users of the CCHS 2005, 2007, 2007–2008 Master and Share microdata files, and 2005, 2007–2008 Public Use Microdata Files (PUMF)

Subject: Flow error during collection related to MAM_038 question (on hysterectomy)

Product(s) affected : 2005, 2007, 2007–2008 Master and Share microdata files and 2005, 2007–2008 PUMF.

Year(s) affected: 2005, 2007, and 2007–2008

Description of the problem(s):
The high number of "Not Stated" responses for 2005 and 2007 resulted from an error in the application flow. Women aged 50 and over should have skipped only question MAM_Q037 (in 2005) / HWT_Q1 (in 2007), but instead they also skipped MAM_Q038.

Suggested correction(s): The error was corrected starting with the CCHS 2008 data.

Correction steps: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: June 2011

To: Users of the 2009 CCHS master and share microdata files

Subject: Error corrected in the Smoking Module – Modified version derived variable, SMKDSTY

Product(s) affected: 2009 Share and Master microdata files.

Year(s) affected: 2001, 2003, 2005, 2007, 2007–2008 2009

Description of the problem(s): In 2010, the programming of the response categories for this derived variable was changed. Respondents who answered SMK_202=3, SMK_05D=5, SMK_01A=2, and SMK_01B=1 were being classified as SMKDSTY=99 and should have been classified as SMKDSTY=5. A new condition and brackets were added to ensure that the category was being assigned correctly to all cases.

Suggested correction(s): To correctly process this derived variable for 2001, 2003, 2005, 2007, 2007–2008 and 2009 please use the specifications below.

Correction process: The correction is highlighted and in bold font. SKMDSTY = 5 (SMK_202 = 3 AND ((SMK_05D = 2 OR SMK_05D = 6) AND (SMK_01A = 1 OR SMK_01B = 1)))

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: June 2011

To: Users of the 2009 CCHS master and share microdata files

Subject: Error corrected in the Physical Activities Module – Modified version derived variable, PACFLTI

Product(s) affected: 2009 Share and Master microdata files.

Year(s) affected: 2007, 2009

Description of the problem(s):
In 2010, the programming of the response categories for this derived variable was changed. Respondents who provided a mix of valid answer and non response to PAC_1V, PAC_7, or PAC_8 have been coded to category 1 or 2 in PACFLTI. Previously, if they provided a non response to either PAC_1V, PAC_7, or PAC_8 they were coded as non response in PACFLTI.

Suggested correction(s): To correctly process this derived variable for 2007, 2008, 2007–2008 and 2009, please use the specifications below.

Correction steps: The order of conditions was changed. The correction is highlighted and in bold font.
9 ADM_PRX = 1
1 PAC_1V = 2 or PAC_7 = 1 or PAC_8 = 1
2 (PAC_1V = 1) and (PAC_7 = 2, 3) and (PAC_8 = 2, 3)

9 (PAC_1V = DK, R, NS) or (PAC_7 = DK, R, NS) or (PAC_8 = DK, R, NS)

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail:HD–DS@statcan.gc.ca

Date: June 2010

To: Users of the 2007, 2008 and 2007–2008 CCHS master and share microdata files

Subject: Error corrected in the Household Food Security Status – Modified version derived variable, FSCDHFS2

Product(s) affected: 2007, 2008, 2007–2008 Share and Master microdata files.

Year(s) affected: 2007, 2008 and 2007–2008

Description of the problem(s): Some households with children were improperly classified as moderately food insecure but should have been classified as severely food insecure as a result of a specification error. The error was corrected starting with the CCHS 2009 data.

Suggested correction(s): To recalculate this derived variable for 2007, 2008 and 2007–2008, please use the specifications below.

Correction steps: The correction is highlighted and in bold font.

[DHHTDKS = 1 and
(2 <= FSCASUM <= 5) and
(2 <= FSCCSUM <= 4)] or

[DHHTDKS = 1 and
(((2 <= FSCASUM <= 5) and( FSCCSUM <= 4)) or
(( FSCASUM <= 5) and(2 <= FSCCSUM <= 4)))]

or [DHHTDKS = 0 and
(2 <= FSCASUM <= 5)]

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: October 2009

To: Users of the 2008 CCHS master and share microdata files

Subject: Error wth the flow of some answers in question CCC_Q073

Product(s) affected: 2008 Share and Master microdata files.

Year(s) affected: 2008

Description of the problem(s): Respondents who answered question CCC_Q073 as “2 – No”, “Refusal” or “Don’t Know” skipped to question CCC_Q081, while they should have flowed to condition CCC_C073A.

Therefore, respondents who did not take medication for hypertension are automatically excluded from the universe of questions CCC_Q073A and CCC_Q073B.

Suggested correction(s): The error was corrected starting with the CCHS 2009 data.

Correction steps: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: October 2009

To: Users of the 2007 and 2005 CCHS master and share files

Subject: Certain values were assigned to the wrong variables.

Product(s) affected:
2007: Master file and share files for all provinces and territories.
2005: Master file and its subsamples, share file and its subsamples and public use microdata file and its subsamples.

Year(s) affected: 2007and 2005

Description of the problem(s): When 2007 and 2005 data was processed, the values of certain variables were assigned to other variables. See the table below for the modules and variables affected and the provinces affected in the case of optional content.

2007
Modules: Breast examination (BRX) Home health care services (HMC) Mammography (MAM)
Content type Optional Optional Optional
Provinces affected New Brunswick,
Saskatchewan and
the Northwest Territories
Ontario Newfoundland and Labrador,
Nova Scotia, New Brunswick,
Ontario, Saskatchewan
and the Northwest Territories
Variables containing
incorrect values
BRX_16N
BRX_16O
BRX_16M
HMC_10I
HMC_10C
HMC_10D
HMC_10E
HMC_10F
HMC_10G
HMC_10H
HMC_15N
HMC_15O
HMC_15M
HMC_16I
HMC_16C
HMC_16D
HMC_16E
HMC_16F
HMC_16G
HMC_16H
MAM_36N
MAM_36O
MAM_36M
2005
Module Breast examination (BRXE) Home health care services (HMCE) Mammography (MAME) Alcohol use (ALCE) Sexual behaviour
(SXBE)
Content type Optional Common Common Common Common
Provinces/
territories affected
Ontario
Yukon
All All All All
Variables BRXE_16N
BRXE_16O
BRXE_16M
HMCE_10C
HMCE_10D
HMCE_10E
HMCE_10F
HMCE_10G
HMCE_10H
HMCE_10I
HMCE_15M
HMCE_15N
HMCE_15O
HMCE_16C
HMCE_16D
HMCE_16E
HMCE_16F
HMCE_16G
HMCE_16H
HMCE_16I
MAME_36M
MAME_36N
MAME_36O
ALCE_7M
ALCE_7N
SXBE_13E
SXBE_13F
SXBE_13G

Suggested correction(s): Users must recover the correct values from the variables where they are found. The table below shows the correspondence between the variables containing incorrect values (column A) and the names of the variables to which they must be renamed (column B) to obtain the correct values. The table is shown by product year.

Suggested correction(s)
2007 2005
Column A
Variables with incorrect values
Column B
Name of the renamed variable
Column A
Variables with incorrect values
Column B
Name of the renamed variable
BRX_16N BRX_16O BRXE_16N BRXE_16O
BRX_16O BRX_16M BRXE_16O BRXE_16M
BRX_16M BRX_16N BRXE_16M BRXE_16N
HMC_10I HMC_10H HMCE_10I HMCE_10H
HMC_10C HMC_10I HMCE_10C HMCE_10I
HMC_10D HMC_10C HMCE_10D HMCE_10C
HMC_10E HMC_10D HMCE_10E HMCE_10D
HMC_10F HMC_10E HMCE_10F HMCE_10E
HMC_10G HMC_10F HMCE_10G HMCE_10F
HMC_10H HMC_10G HMCE_10H HMCE_10G
HMC_15N HMC_15O HMCE_15N HMCE_15O
HMC_15O HMC_15M HMCE_15O HMCE_15M
HMC_15M HMC_15N HMCE_15M HMCE_15N
HMC_16I HMC_16H HMCE_16I HMCE_16H
HMC_16C HMC_16I HMCE_16C HMCE_16I
HMC_16D HMC_16C HMCE_16D HMCE_16C
HMC_16E HMC_16D HMCE_16E HMCE_16D
HMC_16F HMC_16E HMCE_16F HMCE_16E
HMC_16G HMC_16F HMCE_16G HMCE_16F
HMC_16H HMC_16G HMCE_16H HMCE_16G
MAM_36N MAM_36O MAME_36N MAME_36O
MAM_36O MAM_36M MAME_36O MAME_36M
MAM_36M MAM_36N MAME_36M MAME_36N
    ALCE_7N ALCE_7M
    ALCE_7M ALCE_7N
    SXBE_13F SXBE_13E
    SXBE_13G SXBE_13F
    SXBE_13E SXBE_13G

Correction process:

  1. Create a temporary file including the variables in column A.
  2. Rename the variables in column A to temporary variables based on the corresponding variables in column B (e.g. BRX_16M to BRX_16N_00, and HMC_10D to HMC_10C_00, etc.).
  3. Rename the temporary variables (e.g. BRX_16N_00, HMC_10C_00, etc.) to the correct variables as indicated in column B (e.g. BRX_16N, HMC_10C, etc.).
  4. Combine the temporary file which now includes the variables with their correct values with the main data file.

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: October 2009

To: 2007 master or share file users

Subject: Incorrect variable labels

Product(s) affected: Master and share files

Year(s) affected: 2007

Description of the problem(s):
The labels attached to certain variables are incorrect in the master file and the share files and in their respective data dictionnary. The table below gives the variable names along with their old and new labels.

Description of the problem(s)
Variable Question Labels in the files and codebooks Must be replaced by:
SXB_13F Contraceptive method
last time
Other Contraceptive injections
SXB_13G Contraceptive method
last time
Contraceptive injections None
SXB_13E Contraceptive method
last time
None Other

Suggested correction(s): Rename the variables with the correct names.

Correction steps: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail:HD–DS@statcan.gc.ca

Date: October 2009

To: Users of the 2005 master or share file

Subject: The household weight of the master and all share files is invalid (small error)

Product(s) affected: Household weight file hs_hhwt.txt

Year(s) affected: 2005

Description of the problem(s): The main household weight variable (WTSE_MHH on the master file and WTSE_SHH on the share file) on all the HS_HHWT.txt file is invalid and differs from their corresponding FWGT weight on the B5_HH.txt Bootstrap file.

Since Bootvar uses the variable FWGT to calculate the final estimates, any analysis on the 2005 Households weights using Bootvar would be correct and would not need to be redone. However, any preliminary analysis based only on the variables WTSE_MHH or WTSE_SHH would be incorrect and would need to be revised.

Users should know that the errors were considered minimal.

Suggested correction(s): The master and share files have been redone with the corrected household weight and are available upon request.

Correction steps: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: December 21, 2007

To: Data users of cycle 2.1, sub–sample 3 – Master and share file

Subject: Error on number of person interviewed in the following document: “Guidelines for the use of sub–sample variables”

Cycle(s) affected: Cycle 2.1

Product(s) affected: Guidelines for the use of sub–sample variables – Master and share file

Description of the problem(s):

Page 7 of the document:

  • Number 18,981 replaces 18,091 in the following sentence:
    “A total of 18,981 respondents were interviewed for HSAS at the same time as their CCHS interview.”
  • Number 13,024 replaces 12,031 in the following sentence:
    “A total of 13,024 respondents were re–contacted after having been interviewed previously for CCHS.”

Suggested correction: N/A

Corrective Pseudo–code: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: October 12, 2007

To: Data Users and licensees of the Canadian Community Health Survey data, Cycles 2.1 and 3.1, Public Use Microdata File

Subject: Derived variable on work stress scale – Job strain (WSTCDJST and WSTEDJST)

Cycle(s) affected:

Cycle 2.1 (optional content selected by 12 health regions within Newfoundland and Labrador, Ontario and Saskatchewan)

Cycle 3.1 (optional content selected by all health regions in Quebec and Saskatchewan).

Product(s) affected:

Derived variable on work stress scale – Job strain (WSTCDJST and WSTEDJST)

Referred to hereafter as WSTnDJST where n = C or E.

Description of the problem(s):

The Job strain scale should reflect the ratio of the psychological demands and decision making leeway in accordance with the principle that strong demands combined with weak decision making autonomy generate more stress.

Certain variables from the denominator of the WSTnDJST derived variable are incorrectly specified in the Derived Variable (DV) Specifications document for cycles 2.1 and 3.1. The data are therefore erroneous. The ratio of strong demands and decision making leeway result is scores that are too high.

Suggested correction(s):

Public use microdata file (PUMF):
Cannot be corrected by users given the fact that only the derived variables exist on the file. User support via remote access is available upon request.

Share and Master Files:
A temporary reformatting step aiming to invert certain variables must be added to the specifications for the WSTnDJST variable. The step to invert the categories (to arrange them from 4 to 0 rather than from 0 to 4) must be applied to the following variables: WSTn401, WSTn402, WSTn403, WSTn405 and WSTn409.

A “patch file” is available on request.

Corrective Pseudo–code:
The two following temporary reformatting steps are executed and then the WSTnDJST variable is created according to the DV specifications:

Step 1: Temporary Reformatting

Modify the scale of responses for the questions WSTn_401 to WSTn_406 and WSTn_409 from 1 to 5, to 0 to 4

If WSTn_401 <= 5 then WSTn_401 = (WSTn_401 – 1)
If WSTn_402 <= 5 then WSTn_402 = (WSTn_402 – 1)
If WSTn_403 <= 5 then WSTn_403 = (WSTn_403 – 1)
If WSTn_404 <= 5 then WSTn_404 = (WSTn_404 – 1)
If WSTn_405 <= 5 then WSTn_405 = (WSTn_405 – 1)
If WSTn_406 <= 5 then WSTn_406 = (WSTn_406 – 1)
If WSTn_409 <= 5 then WSTn_409 = (WSTn_409 – 1)

Step 2 : Temporary Reformatting

Invert the scale of responses for the questions WSTn_401 to WSTn_403, WSTn_405 and WSTn_409, from 0 to 4, to 4 to 0

If WSTn_401 <= 4 then WSTn_401 = (4 – WSTn_401)
If WSTn_402 <= 4 then WSTn_402 = (4 – WSTn_402)
If WSTn_403 <= 4 then WSTn_403 = (4 – WSTn_403)
If WSTn_405 <= 4 then WSTn_405 = (4 – WSTn_405)
If WSTn_409 <= 4 then WSTn_409 = (4 – WSTn_409)

Step 3:

See WSTnDJST in the Derived Variable (DV) Specifications document.

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail:HD–DS@statcan.gc.ca

Date: October 12, 2007

To:Data Users and licensees of the Canadian Community Health Survey data, Cycle 3.1, Public Use Microdata File (PUMF)

Subject: Question universes in 6 modules in the PUMF data dictionary for Cycle 3.1 are incorrect.

Cycle(s) affected: Cycle 3.1

Product(s) affected:

Data dictionary of the Cycle 3.1 PUMF in English [English Data Dictionary (Freqs).pdf] and in French [French Data Dictionary (Freqs).pdf].

Description of the problem(s):

The derived variable descriptions for the following modules:

  • Smoking (SMK)
  • Colorectal Cancer Screening (CCS)
  • Exposure to second–hand smoke (ETS)
  • Prostate Cancer Screening (PSA)
  • Smoking – Physician counseling (SPC)
  • Youth Smoking (YSM)

Suggested correction(s):

  • Smoking (SMK):
    • SMKEDYCS: Respondents who answered SMKE_202 = (1, 7 or 8) or SMKE_01A = 8 and SMKE_01B = 8
  • Colorectal Cancer Screening (CCS):
    • CCSEFOPT: All respondents
    • CCSE_180: Respondents aged 35 and over with CCSEFOPT = 1
    • CCSE_182: Respondents who answered CCSE_180 = (1, 7 or 8)
    • CCSE_83A: Respondents who answered CCSE_180 = (1, 7 or 8)
    • CCSE_83B: Respondents who answered CCSE_180 = (1, 7 or 8)
  • Exposure to second–hand smoke (ETS):
    • ETSE_10: Respondents with DHHEDHSZ > 1 or who answered (SMKE_202 = (3, 7 or 8) or (SMKE_01A = 8 and SMKE_01B = 8))
    • ETSE_G11: Respondents who answered ETSE_10 = (1, 7 or 8)
    • ETSE_20: Respondents who answered SMKE_202 = (3, 7 or 8) or (SMKE_01A = 8 and SMKE_01B = 8)
    • ETSE_20B: Respondents who answered SMKE_202 = (3, 7 or 8) or (SMKE_01A = 8 and SMKE_01B = 8)
  • Prostate Cancer Screening (PSA) :
    • PSAEFOPT: All respondents
    • PSAE_170: Males aged 35 and over with PSAEFOPT = 1
    • PSAE_172: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_73A: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_73B: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_73C: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_73G: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_73D: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_73E: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_73F: Respondents who answered PSAE_170 = (1, 7 or 8)
    • PSAE_174: Males aged 35 and over with PSAEFOPT = 1
    • PSAE_175: Respondents who answered PSAE_174 = (1, 7 or 8) or PSAE_170 = 8
  • Smoking – Physician counseling (SPC):
    • SPCEFOPT: All respondents
    • SPCE_10: Respondents with SPCEFOPT = 1 who answered (SMKE_202 = (1 or 2) or SMKE_06A = 1 or SMKE_09A = 1 and HCUE_1AA = (1, 7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 or SMKE_202 = (7 or 8) or SMKE_06A = (7 or 8) or SMKE_09A = (7 or 8))
    • SPCE_11: Respondents with SPCEFOPT = 1 who answered SPCE_10 = (1, 7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 or SMKE_202 = (7 or 8) or SMKE_06A = (7 or 8) or SMKE_09A = (7 or 8) or HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) or SMKE_06A = 1 or SMKE_09A = 1)
    • SPCE_12: Respondents with SPCEFOPT = 1 who answered SPCE_11 = (1, 7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 or SMKE_202 = (7 or 8) or SMKE_06A = (7 or 8) or SMKE_09A = (7 or 8) or HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) or SMKE_06A = 1 or SMKE_09A = 1)
    • SPCE_13: Respondents with SPCEFOPT = 1 who answered SPCE_11 = (1, 7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 or SMKE_202 = (7 or 8) or SMKE_06A = (7 or 8) or SMKE_09A = ( 7 or 8) or HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) or SMKE_06A = 1 or SMKE_09A = 1)
    • SPCE_14A: Respondents with SPCEFOPT = 1 who answered SPCE_13 = (1, 7 or 8) or SPCE_12 = (7 or 8) or SPCE_11 = (7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 and SMKE_202 = (7 or 8) and SMKE_06A = (7 or 8) and SMKE_09A = ( 7 or 8) and HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) and SMKE_06A = 1 and SMKE_09A = 1)
    • SPCE_14B: Respondents with SPCEFOPT = 1 who answered SPCE_13 = (1, 7 or 8) or SPCE_12 = (7 or 8) or SPCE_11 = (7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 and SMKE_202 = (7 or 8) and SMKE_06A = (7 or 8) and SMKE_09A = ( 7 or 8) and HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) and SMKE_06A = 1 and SMKE_09A = 1)
    • SPCE_14C: Respondents with SPCEFOPT = 1 who answered SPCE_13 = (1, 7 or 8) or SPCE_12 = (7 or 8) or SPCE_11 = (7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 and SMKE_202 = (7 or 8) and SMKE_06A = (7 or 8) and SMKE_09A = ( 7 or 8) and HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) and SMKE_06A = 1 and SMKE_09A = 1)
    • SPCE_14D: Respondents with SPCEFOPT = 1 who answered SPCE_13 = (1, 7 or 8) or SPCE_12 = (7 or 8) or SPCE_11 = (7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 and SMKE_202 = (7 or 8) and SMKE_06A = (7 or 8) and SMKE_09A = ( 7 or 8) and HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) and SMKE_06A = 1 and SMKE_09A = 1)
    • SPCE_14E: Respondents with SPCEFOPT = 1 who answered SPCE_13 = (1, 7 or 8) or SPCE_12 = (7 or 8) or SPCE_11 = (7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 and SMKE_202 = (7 or 8) and SMKE_06A = (7 or 8) and SMKE_09A = ( 7 or 8) and HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) and SMKE_06A = 1 and SMKE_09A = 1)
    • SPCE_14F: Respondents with SPCEFOPT = 1 who answered SPCE_13 = (1, 7 or 8) or SPCE_12 = (7 or 8) or SPCE_11 = (7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 and SMKE_202 = (7 or 8) and SMKE_06A = (7 or 8) and SMKE_09A = ( 7 or 8) and HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) and SMKE_06A = 1 and SMKE_09A = 1)
    • SPCE_14G: Respondents with SPCEFOPT = 1 who answered SPCE_13 = (1, 7 or 8) or SPCE_12 = (7 or 8) or SPCE_11 = (7 or 8) or SPCE_10 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8 and SMKE_202 = (7 or 8) and SMKE_06A = (7 or 8) and SMKE_09A = ( 7 or 8) and HCUE_1AA = (7 or 8) and (SMKE_202 = (1 or 2) and SMKE_06A = 1 and SMKE_09A = 1)
    • SPCE_20: Respondents with SPCEFOPT = 1 and [DENEFOPT = 2 who answered (SMKE_202 = (1, 2, 7 or 8) or SMKE_06A = (1, 7 or 8) or SMKE_09A = (1, 7 or 8) or SMKE_01A = 8 or SMKE_01B = 8)] and (HCUE_02E > 0 and < 100 or HCUE_02E = (997 or 998) or HCUE_01 = 8)
    • SPCE_21: Respondents with SPCEFOPT = 1 who answered SPCE_20 = (1, 7 or 8) or (DENE_132 = (1, 97 or 98) or with DENEFOPT = 2 who answered HCUE_02E = (997 or 998) or HCUE_01 = 8) and (SMKE_202 = (1, 2, 7 or 8) or SMKE_06A = (1, 7 or 8) or SMKE_09A = (1, 7 or 8) or SMKE_01A = 8 and SMKE_01B = 8)
    • SPCE_22: Respondents with SPCEFOPT = 1 who answered SPCE_21 = (1, 7 or 8) or SPCE_20 = (7 or 8) or (DENE_132 = (97 or 98) or with DENEFOPT = 2 who answered HCUE_02E = (997 or 998) or HCUE_01 = 8) and (SMKE_202 = (1, 2, 7 or 8) or SMKE_06A = (1, 7 or 8) or SMKE_09A = (1, 7 or 8) or SMKE_01A = 8 and SMKE_01B = 8)
  • Youth Smoking (YSM)
    • YSMEG1: Respondents aged less than 20 who answered SMKE_202 = (1, 2, 7 or 8) or (SMKE_01A = 8 and SMKE_01B = 8)
    • YSME_2: Respondents aged less than 20 who answered YSME_1 = (8, 9, 10, 11, 12, 97 or 98) or SMKE_202 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8
    • YSME_3: Respondents aged less than 20 who answered YSME_1 = (1,2,3,4,5,6,7,97 or 98) or YSME_2 = (1, 7 or 8) or SMKE_202 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8
    • YSME_4: Respondents aged less than 20 who answered YSME_1 = (1,2,3,4,5,6,7,97 or 98) or YSME_2 = (1, 7 or 8) or SMKE_202 = (7 or 8) or SMKE_01A = 8 and SMKE_01B = 8
    • YSME_5: Respondents aged less than 20 who answered SMKE_202 = (1, 2, 7 or 8) or (SMKE_01A = 8 and SMKE_01B = 8)

Corrective Pseudo–code: N/A

Contact us: We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca

Date: October 12, 2007

To: Data Users and licensees of the Canadian Community Health Survey data, Cycle 3.1, Public Use Microdata File (PUMF)

Subject: Derived variable documentation contains misleading information indicating that some variables are included in the PUMF when they are not.

Cycle(s) affected: Cycle 3.1

Product(s) affected:

Cycle 3.1 PUMF derived variable documentation in English (DERIVE_E.pdf) and in French (DERIVE_F.pdf).

Description of the problem(s):

The derived variable descriptions for the following modules:

  • Smoking – Cessation Aids (SCA)
  • Smoking – Nicotine dependence (NDE)
  • Smoking – Stages of change (SCH)

indicate that the derived variables are available in the PUMF, while they are not. Since these modules have only been selected by one or two territories, the information is sensitive to respondent identity disclosure and is therefore not included in the PUMF.

Suggested correction: N/A

Corrective Pseudo–code: N/A

Contact us:

We regret any inconvenience this may have caused you or your organization and thank you in advance for your understanding.

Should you have any questions, please do not hesitate to contact us at:

Data Access and Information Services

Health Statistics Division
613–951–1746
Electronic mail: HD–DS@statcan.gc.ca