1. 1. Survey objective
2. 2. Survey frame
3. 3. Sampling and stratification
4. 4. Edit and imputation
5. 5. Outliers
6. 6. Weighting
7. 7. Response rate
8. 8. Estimation and confidentiality

4. Edit and imputation

This part contains the specifications for the edit and imputation. Actions (edits and imputation) are listed in the order which they should be carried out. Further directions are given with respect to the creation of a series of derived variables. These derived variables form a key part of the imputation strategy and therefore their creation is the first step in the process.

Edit rules are used to identify and correct records with inconsistent, incomplete or invalid responses. Where no direct correction is possible, the unacceptable values will be replaced by imputed values. All edits are indicated with a circular bullet.

Imputation indicates the manner in which the record that was not corrected through edits will be corrected. As a general rule, it has been determined that we will not engage in imputation methods which might introduce bias. This means that donor imputation will be used applying the general selection criteria below, either alone or in the context of a specified value or nearest neighbour search using some other variable. All cases of imputation are indicated with an arrow bullet.

Edit and imputation will be carried out on completed questionnaires only.

4.1 Definition of completed questionnaire

A questionnaire is considered to be complete if one of these questions has been filled out.

4.2 Convention for indicating responses

The questionnaire contains two questions eliciting an accepted range of responses. The following provide an explanation of how they appear in this text:

C0300 ) Please report your total sales of food and non-alcoholic beverages in 2009 in dollars $: We expect a number ranging from 0 $ to 999 999 999 997 $.

For the second question the respondent has the option answering either at question 1a or 1b.

C0401) Of that total, please report the amount of sales that were Provincial Sales Tax (PST)-exempt in 2009 in percentage %: We expect a percentage ranging from 0 % to 100 %.

C0400) Of that total, please report the amount of sales that were PST-exempt in 2009 in dollars: We expect a number ranging from 0 $ to 999 999 999 997 $.

4.3 General selection criteria for donors

Throughout this document there is reference to 'general selection criteria'. This refers to the general method to be applied for donor selection during imputation. Donors are to be selected using ranked criteria, where rank 1 is considered the optimal donor, followed by rank 2, etc. Each rank has two possible levels of matching based on the industry detail.

4.4 General selection criteria for donors to be used in imputation

A. Industry group x Strata

B. Industry group

4.5 Derived variables

A series of derived variables are to be created for the purpose of implementing the imputation strategy, for the creation of statistical tables and for use by researchers and analysts, including researchers under the Facilitated Access program.

4.5.1 Strata

This revenue size variable is based on REV variable derived from BR auxiliary information. A strata use for sampling was developed using this information. Based on the UES, a take-all, 2 take-some and a take-none were separated into four different groups. The boundaries are variable for each different industry group.

Table 4.1 Strata

Strata	Criteria
Take-All	The take-all stratum which would consist of the largest enterprises.
Take-Some – Large	The take-some large stratum is composed of medium-size enterprises put into a substratum with a higher sampling fraction than the one containing the smallest take-some enterprises.
Take-Some – Small	The take-some small stratum is composed of medium-size enterprises put into a substratum with a smaller sampling fraction than the one containing the larger take-some enterprises.
Take-none	The take-none stratum is composed of smallest enterprises and has a smallest sampling fraction.

4.5.2 Region

Table 4.2 Region

Region	Criteria
Onta	Ontario

4.5.3 Industry group

Table 4.3 NAICS included in each industry group

Industry Group	Criteria
Bakeries	NAICS 311811 and 445291
Cafeterias; coffee shops; lunch counters and snack bars; doughnut and muffin shops; limited-service restaurants	NAICS 722210
Chip wagons; hot dog stands; coffee stands; mobile food services	NAICS 722330
Cocktail lounges, taverns and bars	NAICS 722410
Convenience stores	NAICS 445120 and 447110
Convention centers	NAICS 531120
Food service contractors	NAICS 722310
Full-service restaurants	NAICS 722110
Grocery stores	NAICS 445110
Hotels and motels	NAICS 7211
Lodging houses	NAICS 7213
Private or social clubs or legion halls	NAICS 813410
Snack bars	NAICS 512130, 7111, 7112, 71131, 712, 7131, 713210, 713299, 7139
Vending machines1	NAICS 454210
1. There are 31 must-take establishments among the NAICS 454210. They are the following: North American Industry Classification System 454210 Must-take establishments S08392282 S09402411 S12686737 S23248386 S23406794 S283186712 S32052712 S33632181 S35783495 S37671383 S39167133 North American Industry Classification System 454210 Must-take establishments continued S39581325 S44914990 S47847395 S54680770 S55141624 S55762163 S58684885 S59389294 S60315262 S60476676 S61041479 North American Industry Classification System 454210 Must-take establishments continued S61194757 S61323570 S66880558 S69073961 S71942951 S72113960 S74038273 S75176352 S77510161 2. This establishment replaces S28318697, which was on the original list, because S28318697 is an enterprise rather than an establishment.

Question C0300:

Question C0300 is mandatory. But we will still write specifications for this question if they would come to be necessary.

• If C0300 > 999 999 999 997  then C0300 = 'blank'
• If C0300 < 0 then C0300= 'blank'
• If C0300 < C0400  then C0300 = C0400
• If C0300/REV_BR > 2  then C0300 = REV_BR and if C0401 = . then C0401 = (REV_BR /C0300)*C0401 (outlier detection)

• If C0300 = 'blank' then impute using ratio of BR information from derived variable REV.

Question C0401:

• If C0401 > 100  then C0401 = 'blank'
• If C0401 < 0 then C0401= 'blank'
• If C0401 = 'blank' and C0400 ne 'blank' then
  • C0401 = C0400/C0300 (If C0300 ne 0)
    C0401 = 0 (If C0300 = 0 and C0400 = 0)

• If C0401 = 'blank' and C0400 = 'blank' then impute C0401 using using general selection criteria. After imputation do this edit C0400 = C0401 * C0300.

Question C0400:

• If C0400 > 999 999 999 997  then C0400 = 'blank'
• If C0400 < 0 then C0400= 'blank'
• If C0300 < C0400  then C0300 = C0400
• If C0400 = 'blank' and C0401 ne 'blank' then
  • C0400 = C0401 * C0300.

• No imputation needed, the imputation of C0401 and the last edit (C0400 = C0401 * C0300) implicitly imputes C0400 from C0401.

4.7 Imputation rates

Table 4.4 Weighted imputation rate per question and per industry group

NAICS Groups		Weighted
		C0300	C0401	C0400
	Total - Ontario	9.1%	9.8%	9.8%
1	Bakeries	5.8%	5.6%	5.6%
2	Cafeterias; coffee shops; lunch counters and snack bars; doughnut and muffin shops; limited-service restaurants	14.3%	19.4%	19.4%
3	Chip wagons; hot dog stands; coffee stands; mobile food services	0.0%	0.0%	0.0%
4	Cocktail lounges, taverns and bars	0.0%	13.8%	13.8%
5	Convenience stores	22.2%	27.4%	27.4%
6	Convention centres	1.9%	0.0%	0.0%
7	Food service contractors	0.3%	0.6%	0.6%
8	Full-service restaurants	6.7%	6.4%	6.4%
9	Grocery stores	40.5%	16.0%	16.0%
10	Hotels and motels	0.0%	6.0%	6.0%
11	Lodging houses	1.6%	0.0%	0.0%
12	Private or social clubs or legion halls	4.0%	5.3%	5.3%
13	Snack bars	6.1%	8.1%	8.1%
14	Vending machines	0.0%	1.2%	1.2%

Table 4.5 Unweighted imputation rate per question and per industry group

NAICS Groups		Unweighted
		C0300	C0401	C0400
	Total - Ontario	6.2%	11.4%	11.4%
1	Bakeries	7.0%	5.3%	5.3%
2	Cafeterias; coffee shops; lunch counters and snack bars; doughnut and muffin shops; limited-service restaurants	14.6%	16.7%	16.7%
3	Chip wagons; hot dog stands; coffee stands; mobile food services	0.0%	0.0%	0.0%
4	Cocktail lounges, taverns and bars	0.0%	20.0%	20.0%
5	Convenience stores	17.3%	30.8%	30.8%
6	Convention centres	0.8%	0.8%	0.8%
7	Food service contractors	8.3%	16.7%	16.7%
8	Full-service restaurants	5.3%	9.3%	9.3%
9	Grocery stores	28.2%	30.8%	30.8%
10	Hotels and motels	0.0%	16.7%	16.7%
11	Lodging houses	5.9%	0.0%	0.0%
12	Private or social clubs or legion halls	1.2%	6.0%	6.0%
13	Snack bars	5.2%	10.4%	10.4%
14	Vending machines	0.0%	6.8%	6.8%

The rates were obtained using the following formulas:

where ic:= imputed cells (if the cell is imputed, ic = 1, if not ic = 0) for respondent i to question j, nj:= number of cells responded for question j

where ic:= imputed cells (if the cell is imputed, ic = initial weight, if not ic = 0) for respondent i to question j, njw:= sum of initial weights for cells responded for question j

5. Outliers

After performing the estimation process, the subject matter noticed certain discrepancies between the estimates produced for the survey on the sale of prepared food and beverages and the restaurants survey produced by the UES. Following this observation, the BSMD investigated and found that groups 5, 9 and 13 possessed heterogeneous respondent groups. These groups were vulnerable to outliers or response errors because total revenue and revenue from sales of prepared food and beverages were significantly different. Using the ratio of the value responded by the establishment compared with that in the Business Register, the BSMD developed cut-off thresholds for acceptable values. Quids with values above the cut-off threshold will be imputed using the following formula:

Table 5.1 Cut-off threshold for detecting Quids with outliers

NAICS group		Threshold of the C0300/REVRE ratio	QUID above the threshold
5	Convenience stores	28.56%	'Q30394117','Q30393108','Q30392970', 'Q30392985','Q30394340','Q30394113','Q30393360'
9	Grocery stores	28.16%	'Q30393720','Q30393804','Q30393546', 'Q30393155','Q30393893','Q30393070', 'Q30393766', 'Q30393279', 'Q30394300', 'Q30394323', 'Q30393583'
13	Snack bars	34.88%	'Q30394105','Q30394177', 'Q30393344','Q30393049', 'Q30392878', 'Q30393515'

6. Weighting

We used re-weighting to compensate for total non-response.

Correction for non-response

The units selected during sampling were grouped into four categories as follows:

Table 6.1 Response codes and their frequency in the sample

Grouped status code	Response code	Frequency
NR: non-response	'40','51','53','72'	465
OOS: out of scope	'70','71'	68
OOB: out of business	'30','60','61','62','63'	120
REP (INSCOPE): respondent in the scope of the survey	'10', '20'	833

The weight of non-respondents is redistributed among respondents who are in-scope and the OOS and the OOB, using the strata from the sampling plan as a reweighting class. Normally, when there are not enough respondents in a given stratum, a regrouping of strata is necessary. In this survey, only two strata had only one respondent; one of these strata had no non-respondents and the other had a reasonable total of sales of prepared food and beverages. For these reasons, no strata were regrouped.

7. Response rate

To calculate the response rate, we calculated the unweighted and weighted response rates. The unweighted response rate calculated at the estimate is 56%, while the weighted response rate is 60%. The unweighted response rate gives an idea of the response rate at the sample level, and is often used during collection, while the weighted rate provides an overall idea, i.e., at the population level.

The rates were obtained using the following formulas:

a)
Where c:= completed questionnaires, p:= partially completed questionnaires, n:= sample size

b) weighted:
where c_w:= weighted completed questionnaires, p_w:= weighted partially completed questionnaires, n_w:= size of weighted sample, oos_w:= weighted-out-of-scope, oob_w := weighted out-of-business, dup_w:= weighted duplicates.

Table 7.1 Unweighted response rates by industry group

NAICS Groups			pop	sample	RES	resrate_unweighted
	Total – Ontario		76,633	1,486	833	56.1%
1	Bakeries	311811 and 445291	993	111	57	51.4%
2	Cafeterias; coffee shops; lunch counters and snack bars; doughnut and muffin shops; limited-service restaurants	722210	12,724	158	96	60.8%
3	Chip wagons; hot dog stands; coffee stands; mobile food services	722330	411	35	15	42.9%
4	Cocktail lounges, taverns and bars	722410	1,177	72	35	48.6%
5	Convenience stores	445120 and 447110	6,616	96	52	54.2%
6	Convention centres	531120	22,806	236	126	53.4%
7	Food service contractors	722310	918	29	12	41.4%
8	Full-service restaurants	722110	12,175	142	75	52.8%
9	Grocery stores	445110	3,287	97	39	40.2%
10	Hotels and motels	721111, 721112, 721113, 721191, 721191, 721192 and 721198	3,231	95	66	69.5%
11	Lodging houses	721310	118	30	17	56.7%
12	Private or social clubs or legion halls	813410	2,673	121	84	69.4%
13	Snack bars	512130, 7111, 7112, 71131, 712, 7131, 713210, 713299 and 7139	8,975	197	115	58.4%
14	Vending machines	454210	529	67	44	65.7%

8. Estimation and confidentiality

The BSMD prepared the weighting files and used the Generalized Estimation System (GES) and CONFID2 generalized systems and SAS macros to produce the estimate table in Excel. The initial weights readjusted in the reweighting were used in GES to produce the estimates. The table contains a measurement of estimate quality (CV or error type depending on the case). In accordance with Statistics Canada guidelines, these tables suppress certain estimates as per confidentiality procedures (rule C2). CONFID2 was used to apply rule C2.

Table 8.1 Estimates of total sales of prepared food and beverages, and of total GST-exempt sales in dollars and as a percentage per industry group

NAICS Groups			Total sales of food and non-alcoholic beverages	Q	Total sales that were PST-exempt	Q	Total sales that were PST-exempt	Q
				(CV)	in $	(CV)	in %	(SE)
	Total – Ontario		14,687,356,672	5.9%	3,008,022,865	11.3%	20.5%	1.8%
1	Bakeries	311811 and 445291	284,789,609	10.8%	148,419,583	17.0%	52.1%	5.6%
2	Cafeterias; coffee shops; lunch counters and snack bars; doughnut and muffin shops; limited-service restaurants	722210	5,759,751,048	10.3%	1,484,385,507	16.5%	25.8%	2.9%
3	Chip wagons; hot dog stands; coffee stands; mobile food services	722330	42,358,115	14.7%	20,793,180	28.0%	49.1%	8.2%
4	Cocktail lounges, taverns and bars	722410	139,769,178	24.8%	28,835,006	50.1%	20.6%	10.5%
5	Convenience stores	445120 and 447110	456,741,793	19.9%	194,987,725	34.0%	42.7%	8.9%
6	Convention centres	531120	x	x	x	x	x	x
7	Food service contractors	722310	605,102,678	34.9%	382,711,064	36.1%	63.2%	8.2%
8	Full-service restaurants	722110	5,255,279,496	9.7%	348,194,154	41.3%	6.6%	2.6%
9	Grocery stores	445110	539,831,793	17.7%	172,358,015	26.8%	31.9%	5.8%
10	Hotels and motels	721111, 721112, 721113, 721191, 721191, 721192 and 721198	784,837,047	22.7%	9,381,109	23.3%	1.2%	0.3%
11	Lodging houses	721310	x	x	x	x	x	x
12	Private or social clubs or legion halls	813410	x	x	x	x	x	x
13	Snack bars	512130, 7111, 7112, 71131, 712, 7131, 713210, 713299 and 7139	341,489,175	16.3%	44,966,196	33.4%	13.2%	3.7%
14	Vending machines	454210	62,371,259	16.8%	21,738,670	15.2%	34.9%	5.2%
x suppressed to meet the confidentiality requirements of the Statistics Act GST: Goods and services tax PST: Provincial Sales Tax Q: Quality Indicator SE: Standard Error

Introduction

The Canadian Health Measures Survey was originally conceived as a one-time study through the federal government’s health information roadmap initiative. Now ongoing funding is in place to maintain a continuous CHMS beginning in 2010-2011. Cycle 2 of the CHMS (2009-2010) however, is being conducted during the transition from one-time study to ongoing program and is virtually a repeat of the inaugural survey (Cycle 1).

Objectives

A privacy impact assessment for the CHMS: Cycle 2 was conducted to determine if there were any new privacy, confidentiality and security issues associated with Cycle 2 of the survey, and if so, to make recommendations for their resolution or mitigation.

Description

The CHMS will collect information that will help evaluate the extent of health problems among Canadians in such areas as chronic diseases (e.g., diabetes and cardiovascular disease), infectious diseases, lifestyle characteristics (e.g., physical activity and nutritional status) and environmental exposures. The survey will also provide a means to explore emerging public health issues and new measurement technologies.

The CHMS collects data from over 5,000 Canadians through a questionnaire administered in the household and physical measure tests administered in a mobile examination centre (MEC). The MEC will be set up in 16 different sites across Canada for Cycle 2 and will remain in each location for about six weeks. Cycle 2 survey collection will begin in September 2009 and continue over 24 months.

Conclusion

This assessment concludes that, with existing Statistics Canada safeguards as well as the additional advisory and oversight bodies that have been put into place for the CHMS, any remaining risks are either negligible or are such that Statistics Canada is prepared to accept and manage the risk.

Executive Summary

The Data Visualization Feedback Form was developed to solicit feedback from visitors to the Statistics Canada Web site on proposals for the Data Visualization Initiative which is developing new enhanced ways to present data on the Web site. This online form offers users an opportunity to provide input into the planning and future research on data visualization of Statistics Canada data.

Objectives

A privacy impact assessment for the feedback form was conducted to determine if there were any privacy, confidentiality and security issues associated with the web application, and if so, to make recommendations for their resolution or mitigation.

Description

As a common practice with online feedback type forms, participants are asked to provide feedback on specific (core) questions. They are also asked for their name, telephone number, city, and their e-mail address which may be used to contact them for other consultations on Web applications.

Participants are informed via a privacy notice that Statistics Canada will not sell, distribute, trade or transfer their personal information to other government departments, businesses, organizations or individuals outside the Agency for commercial or any other purposes, unless required by law. The information they provide will be kept confidential and will be used only for the specified purposes.

Conclusion

This assessment of the Data Visualization Feedback Form did not identify any privacy risks that cannot be managed using existing safeguards.

(Country elevators and feed mills)

Confidentiality: Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable business without the previous written consent of that business. The data reported on this questionnaire will be treated in confidence and used for statistical purpose only. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation.

Authority: Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Purpose: This information is required to provide private industry, producers and governments with accurate and timely data.

Ontario: To reduce response burden and to ensure more uniform statistics, Statistics Canada has entered into an agreement under Section 12 of the Statistics Act with the Ontario Ministry of Agriculture, Food and Rural Affairs for the sharing of information from this survey.

December 31, 2009

Instructions:

1. Please report inventories held in your company's elevators in metric tonnes.
2. Exclude stocks held in elevators licensed by the Canadian Grain Commission but include imports.
3. Please keep a copy of this report for your file and return a copy to Statistics Canada within one week.
4. You may return this questionnaire by mail or facsimile. The Agriculture Division facsimile number is (613) 951-3868. Statistics Canada advises you that there could be a risk of disclosure of your information if you choose to return it by fax, e-mail or other electronic means. Upon receipt of your information, Statistics Cananda will provide the level of protection required by the Statistics Act.
5. Enter only the stock owned by the company and held in company owned elevators in the "Company Owned" column. Enter any other stock in the "Held For" column; i.e. Farm Accounts, Storage Receipts and Other Companies.
6. If you have any questions, please telephone (613) 931-3050. Thank you

Stocks at December 31

• Grain:
  • Grain Corn
  • Soybeans (exclude roasted)
• Company Owned: (metric tonnes)
• Held for: (metric tonnes)
  • Farm Accounts
  • Storage Receipts
  • Other (metric tonnes)
• Total: (metric tonnes)

Contact person
E-mail address
Telephone number

(Industrial users)

Confidentiality: Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable business without the previous written consent of that business. The data reported on this questionnaire will be treated in confidence and used for statistical purpose only. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation.

Authority: Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Purpose: This information is required to provide private industry, producers and governments with accurate and timely data.

Ontario: To reduce response burden and to ensure more uniform statistics, Statistics Canada has entered into an agreement under Section 12 of the Statistics Act with the Ontario Ministry of Agriculture, Food and Rural Affairs for the sharing of information from this survey.

December 31, 2009

Instructions:

1. Please report inventories held in your company's elevators in metric tonnes.
2. Exclude stocks held in elevators licensed by the Canadian Grain Commission but include imports.
3. Please keep a copy of this report for your file and return a copy to Statistics Canada within one week.
4. You may return this questionnaire by mail or facsimile. The Agriculture Division facsimile number is (613) 951-3868. Statistics Canada advises you that there could be a risk of disclosure of your information if you choose to return it by fax, e-mail or other electronic means. Upon receipt of your information, Statistics Cananda will provide the level of protection required by the Statistics Act.
5. Enter only the stock owned by the company and held in company owned elevators in the "Company Owned" column. Enter any other stock in the "Held For" column; i.e. Farm Accounts, Storage Receipts and Other Companies.
6. If you have any questions, please telephone (613) 931-3050. Thank you

Stocks at December 31

• Grain:
  • Grain Corn
  • Soybeans (exclude roasted)
• Company Owned: (metric tonnes)
• Held for: (metric tonnes)
  • Farm Accounts
  • Storage Receipts
  • Other
• Total: (metric tonnes)

Use

• Amount of corn used in manufacturing from September 1, 2009 to December 31, 2009 (metric tonnes)

Contact person
E-mail address
Telephone number

(Industrial users)

Confidentiality: Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable business without the previous written consent of that business. The data reported on this questionnaire will be treated in confidence and used for statistical purpose only. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation.

Authority: Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Purpose: This information is required to provide private industry, producers and governments with accurate and timely data.

Ontario: To reduce response burden and to ensure more uniform statistics, Statistics Canada has entered into an agreement under Section 12 of the Statistics Act with the Ontario Ministry of Agriculture, Food and Rural Affairs for the sharing of information from this survey.

March 31, 2010

Instructions:

1. Please report inventories held in your company's elevators in metric tonnes.
2. Exclude all stocks held in elevators licensed by the Canadian Grain Commission but include imports.
3. Please keep a copy of this report for your file and return a copy to Statistics Canada within one week.
4. You may return this questionnaire by mail or facsimile. The Agriculture Division facsimile number is (613) 951-3868. Statistics Canada advises you that there could be a risk of disclosure of your information if you choose to return it by fax, e-mail or other electronic means. Upon receipt of your information, Statistics Cananda will provide the level of protection required by the Statistics Act.
5. Enter only the stock owned by the company and held in company owned elevators in the "Company Owned" column. Enter any other stock in the "Held For" column; i.e. Farm Accounts, Storage Receipts and Other Companies.
6. If you have any questions, please telephone (613) 931-3050. Thank you

Stocks at March 31

• Grain:
  • Grain Corn
  • Soybeans (exclude roasted)
• Company Owned: (metric tonnes)
• Held for: (metric tonnes)
  • Farm Accounts
  • Storage Receipts
  • Other
• Total: (metric tonnes)

Use

• Amount of corn used in manufacturing from September 1, 2009 to March 31, 2010 (metric tonnes)

Contact person
E-mail address
Telephone number

It is the policy of Statistics Canada to provide all respondents with information about: the purpose of the survey (including the expected uses and users of the statistics to be produced from the survey), the authority under which the survey is taken, the collection registration details, the mandatory or voluntary nature of the survey, confidentiality protection, the record linkage plans and the identity of the parties to any agreements to share the information provided by those respondents.

The information required by this policy must, for all surveys, be prepared in written form and made available to respondents prior to or at the time of collection. In the case of telephone/interview surveys without introductory materials the information shall be provided verbally and shall be provided in writing on request.

Information to be Provided to Respondents

Respondents must be informed of the following:

1. Principal Purpose(s) of the Survey

The major intended uses and users of the data, including any subsequent follow-up surveys, must be explained.

2. Authority

A statement that the information is collected under the authority of the Statistics Act, must be communicated to respondents.

3. Collection Registration

The collection registration number and the personal information bank number required under the Privacy Act for surveys collecting personal information must be communicated to respondents. These must be displayed on questionnaires for self-enumeration surveys. In the case of telephone and personal interview surveys, they must be made available, if requested.

4. Mandatory or Voluntary Nature of the Survey

The Statistics Act requires all persons to answer questions posed in a survey carried out by Statistics Canada unless an order has been issued, pursuant to section 8, to authorize the collection on a voluntary basis. Respondents must be advised whether their participation in a given survey is voluntary or mandatory.

(a) Voluntary Household or Business/Institutional Surveys
In the case of voluntary household or business/institutional surveys, respondents must be informed explicitly that response is voluntary. Other information about the survey may be communicated first, but the voluntary nature of the survey must be communicated prior to any survey questions being asked. Should enquiries about the nature of the survey be made at any time, a direct response must be immediately provided.

(b) Mandatory Household Surveys
In the case of mandatory household surveys, respondents may be advised in a factual and non-threatening manner that their response is required by law.

(c) Mandatory Business/Institutional Surveys
In the case of mandatory business/institutional surveys, respondents must be informed that they are legally obliged to respond. This will be communicated by means of standard wording on the questionnaire and/or the introductory letter in the case of self-enumeration surveys or in an introductory letter in the case of telephone or personal interview surveys. In the case of surveys which include small businesses, the administration of the mandatory nature of the survey must be carried out with due regard to the reporting burden of the business.

5. Confidentiality Protection

The confidentiality provisions of the Statistics Act must be explained and the key procedures that ensure the confidentiality of individual returns must be provided when requested.

For surveys using pre-filled questionnaires, the "Guidelines on transmittal of pre-filled questionnaires" approved by the Policy Committee on September 13, 1995 must be applied.

6. Record Linkage Plans

Respondents must be notified at the time of collection of any planned linkages of their survey responses to other data files, where linkage is for other than internal methodological purposes. Planned linkages are those that are an integral part of the survey and are envisaged as the methodology is being developed. Internal methodological linkages would include such activities as the maintenance, validation, evaluation or re-design of ongoing data collections or research related to the design of new surveys.

7. Joint Collection and Data Sharing Agreements

Any relevant joint collection or data sharing agreements must be explained in accordance with the requirements of the Statistics Act. The guidelines with respect to notifying respondents of their right to object to data sharing approved by the Policy Committee on November 16, 1988 are to be followed.

When the agreement is with a party that has legislative authority to collect the information, the requirements of that legislation must also be specified.

Note: Data-sharing notices must be provided at the time of collection to ensure that respondents are aware of the data-sharing agreement at the time they are providing the information.

Inquiries

Inquiries concerning this policy are to be directed to the Director, Data Access and Control Services Division, 613-951-9348.

(Industrial users)

Confidentiality: Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable business without the previous written consent of that business. The data reported on this questionnaire will be treated in confidence and used for statistical purpose only. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation.

Authority: Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Purpose: This information is required to provide private industry, producers and governments with accurate and timely data.

Ontario: To reduce response burden and to ensure more uniform statistics, Statistics Canada has entered into an agreement under Section 12 of the Statistics Act with the Ontario Ministry of Agriculture, Food and Rural Affairs for the sharing of information from this survey.

March 31, 2010

Instructions:

1. Please report inventories held in your company's elevators in metric tonnes.
2. Exclude all stocks held in elevators licensed by the Canadian Grain Commission but include imports.
3. Please keep a copy of this report for your file and return a copy to Statistics Canada within one week.
4. You may return this questionnaire by mail or facsimile. The Agriculture Division facsimile number is (613) 951-3868. Statistics Canada advises you that there could be a risk of disclosure of your information if you choose to return it by fax, e-mail or other electronic means. Upon receipt of your information, Statistics Cananda will provide the level of protection required by the Statistics Act.
5. Enter only the stock owned by the company and held in company owned elevators in the "Company Owned" column. Enter any other stock in the "Held For" column; i.e. Farm Accounts, Storage Receipts and Other Companies.
6. If you have any questions, please telephone (613) 931-3050. Thank you

Stocks at March 31

• Grain:
  • Grain Corn
  • Soybeans (exclude roasted)
• Company Owned: (metric tonnes)
• Held for: (metric tonnes)
  • Farm Accounts
  • Storage Receipts
  • Other
• Total: (metric tonnes)

Use

• Amount of corn used in manufacturing from September 1, 2009 to March 31, 2010 (metric tonnes)

Contact person
E-mail address
Telephone number