National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures – Q3 2021

National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures, including expenditures at origin and those for air commercial transportation in Canada, in Thousands of Dollars (x 1,000)
Table summary
This table displays the results of C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures. The information is grouped by Duration of trip (appearing as row headers), Main Trip Purpose, Country or Region of Expenditures (Total, Canada, United States, Overseas) calculated using Visit-Expenditures in Thousands of Dollars (x 1,000) and c.v. as units of measure (appearing as column headers).
Duration of Visit Main Trip Purpose Country or Region of Expenditures
Total Canada United States Overseas
$ '000 C.V. $ '000 C.V. $ '000 C.V. $ '000 C.V.
Total Duration Total Main Trip Purpose 25,169,573 A 23,192,090 A 648,293 E 1,329,190 B
Holiday, leisure or recreation 15,181,330 A 14,347,253 A 321,270 E 512,807 C
Visit friends or relatives 6,412,139 A 5,671,292 A 128,039 D 612,807 B
Personal conference, convention or trade show 130,191 E 65,005 C ..   65,186 E
Shopping, non-routine 902,139 B 902,139 B ..   ..  
Other personal reasons 1,022,542 B 993,588 B 12,798 E 16,186 E
Business conference, convention or trade show 180,758 C 132,294 C 36,443 E 12,021 E
Other business 1,340,475 B 1,080,520 B 149,743 E 110,212 E
Same-Day Total Main Trip Purpose 5,581,358 A 5,564,117 A 16,796 E 445 E
Holiday, leisure or recreation 2,782,217 A 2,781,772 A ..   445 E
Visit friends or relatives 1,196,316 B 1,183,609 B 12,708 E ..  
Personal conference, convention or trade show 19,410 D 19,410 D ..   ..  
Shopping, non-routine 749,559 B 749,559 B ..   ..  
Other personal reasons 421,483 B 421,483 B ..   ..  
Business conference, convention or trade show 22,667 E 22,667 E ..   ..  
Other business 389,704 C 385,617 C 4,088 E ..  
Overnight Total Main Trip Purpose 19,588,215 A 17,627,973 A 631,497 E 1,328,745 B
Holiday, leisure or recreation 12,399,112 A 11,565,481 A 321,270 E 512,361 C
Visit friends or relatives 5,215,822 A 4,487,683 A 115,332 D 612,807 B
Personal conference, convention or trade show 110,781 E 45,595 C ..   65,186 E
Shopping, non-routine 152,579 C 152,579 C ..   ..  
Other personal reasons 601,059 B 572,104 B 12,798 E 16,157 E
Business conference, convention or trade show 158,091 D 109,627 C 36,443 E 12,021 E
Other business 950,771 C 694,903 B 145,655 E 110,212 E
..
data not available

Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:

A
c.v. between or equal to 0.00% and 5.00% and means Excellent.
B
c.v. between or equal to 5.01% and 15.00% and means Very good.
C
c.v. between or equal to 15.01% and 25.00% and means Good.
D
c.v. between or equal to 25.01% and 35.00% and means Acceptable.
E
c.v. greater than 35.00% and means Use with caution.

Data element manual for survey respondents

Canadian centre for education statistics division, Statistics Canada.

Table of Contents

Authority to Collect Data

The information requested in this survey is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. This survey is mandatory in accordance with the Statistics Act.

This data collection is the only source of national level information on full-time teaching staff in Canadian public degree granting institutions, and is used by a variety of federal, provincial, and international organizations and governments, postsecondary institutions and individual researchers.

Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this data collection that relates to any identifiable individual. Furthermore, the confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation. Additionally, institution level data from this data collection will only be published and made available to the public, if written permission is provided to Statistics Canada in the form of a signed authorization form from the participating institution.

Coverage

Data should be submitted for all full-time teaching staff employed in public or private degree granting institutions that receive funding from a provincial or territorial ministry of education and/or are a member of the CAUBO (Canadian Association of University Business Officers) survey survey as of October 1 of the reporting year. The affiliates and other related colleges of these institutions may be reported by the parent institution or independently. As well, please include full-time research staff who have an academic rank and a salary scale similar to teaching staff.

This data collection includes full-time teaching staff that spend the majority of their teaching time on credit courses leading to degree programs (as opposed to continuing education courses, special interest courses or courses in a program that do not lead to a degree).

Full-time include:

  1. Staff appointed on a full-time basis whose term of appointment is not less than twelve months (include any staff member on leave).
  2. New appointees hired on a full-time basis whose term of contract is twelve months but for the first year he/she can only be at the institution for less than twelve months.
  3. Staff who were appointed to teach full-time (12 months or more) and at a later date have entered into a formal agreement with the institution to work on a reduced load basis. This situation usually arises with staff members who are approaching retirement.

Teaching staff included in the survey:

  1. All academic staff within faculties (colleges, schools, etc.) who are full-time teachers, researchers (meeting the above criteria), and/or senior academic staff, i.e., deans, chairperson, directors etc.
  2. All full-time teachers within faculties, whether or not they hold an academic rank.
  3. Full-time academic staff in teaching hospitals (see element 25 for details).
  4. Visiting full-time academic staff in faculties.
  5. Full-time research staff that have an academic rank and a salary scale similar to teaching staff.

Staff excluded from this survey:

  1. Administrators solely responsible for university administration, i.e., president, vice-president, registrar, comptroller, etc.
  2. Administrative assistants within faculties (colleges, schools, etc.).
  3. Librarians.
  4. Non-academic support staff both in faculties (college, school, etc.) and other university departments.
  5. Markers, demonstrators, lab assistants, etc.
  6. Graduate teaching assistants.
  7. Postdoctoral fellows.
  8. Academic staff within faculties (colleges, schools, etc.) who have been hired as researchers without academic rank and/or whose salary scales are different from teaching staff.

Reporting Options

Statistics Canada provides the institutions with an "Edit Checker" (tool) that includes their previous year's data for each teaching staff member, for updating. The data elements will be arranged in the same order as the record layout. Once the current year's data has been loaded in this tool, it runs a number of preliminary edits on the data that will prompt the institution to address common reporting issues.

Updating Instructions:

Returning teaching staff: any data elements that changed since the last survey are to be updated. Elements that typically change from year to year are: actual salary, annual rate of salary, administrative stipends, senior administrative responsibilities, researchers and visitors' code, reduced load, number of months on sabbatical leave, and number of months on unpaid leave during the current academic year. Elements that change less frequently include: level of highest earned degree, year of highest earned degree, province/country of highest degree, rank, year of appointment to present rank at current institution and principal subject taught.

New teaching staff: Institutions are required to provide all data elements for each new teaching staff reported.

Non–returning staff: Please delete the record.

While it is preferred that the edit checker tool is used, institutions can also send Statistics Canada the individual data for each full-time teaching staff member in an EXCEL format. Please use the codes provided in this Data Element Manual, and list the data elements in the order they appear in the record layout on page 6.

In order to ensure the confidentiality of data during transmission, Statistics Canada requires that all information is sent through their "Electronic File Transfer System". Information on sending and receiving files through this secure internet based service is included in the annual request for information or can be obtained by contacting the UCASS team.

Reporting Date

Most data elements in this survey are to be reported as of October 1 (a "snap shot" of the survey). However, the following data elements are not conceptually a snapshot and are reported on a 12 months basis: Number of months on sabbatical leave, Number of months on unpaid leave, Reduced load, and Actual salary.

Further Information

Please direct inquiries to:

Ms. Teresa Omiecinski
Senior Analyst and Survey Manager
(613) 404-6155
E-mail: Teresa.Omiecinski@statcan.gc.ca

 

FT-UCASS
Education Finance and Academic Staff Section
Canadian Centre for Education Statistics Division
RH Coats Building, 13th floor
100 Tunney's Pasture Driveway
Statistics Canada
Ottawa, Ontario K1A 0T6

Survey Elements

Element 01: Reporting Institution

Description:

An 8 digit code assigned by Statistics Canada to identify the reporting institution.

Notes:

These codes are structured as follows:

  • Digits 1-2: Province in which the institution is located
  • Digits 3-5: Institution
  • Digits 6-8: Campus (if applicable)

Codes:

Please see the following pages for a list of institution codes.

Table 2: List of institutions
Code Institution Name
Newfoundland and Labrador
10001000 Memorial University of Newfoundland
Prince Edward Island
11001000 University of Prince Edward Island
Nova Scotia
12001000 Acadia University
12001002 Acadia Divinity College
12002000 Atlantic School of Theology
12003000 Cape Breton University
12004000 Dalhousie University
12005000 University of King's College
12006000 Mount Saint Vincent University
12008000 Nova Scotia College of Art and Design University (NSCAD)
12010000 Université Sainte-Anne
12011000 St. Francis Xavier University
12012000 Saint Mary's University
New Brunswick
13002000 Mount Allison University
13003000 University of New Brunswick
13004000 Université de Moncton (parent)
13005000 St. Thomas University
Quebec
24001000 Bishop's University
24002000 McGill University
24003000 Université de Montréal
24003002 Polytechnique Montréal
24003003 École des hautes études commerciales
24005000 Université Laval
24006000 Université de Sherbrooke
24007000 Concordia University
24008000 Université du Québec à Chicoutimi
24009000 Université du Québec à Montréal
24010000 Université du Québec en Abitibi-Témiscamingue
24011000 Université du Québec à Trois-Rivières
24012000 Université du Québec en Outaouais
24013000 Université du Québec, École nationale d'administration publique (ENAP)
24014000 Université du Québec, Institut national de la recherche scientifique
24015000 Université du Québec à Rimouski
24016000 Université du Québec, École de technologie supérieure
24017000 Université du Québec, Télé-université du Québec (TÉLUQ)
Ontario
35001000 Brock University
35001003 Concordia Lutheran Theological Seminary
35002000 Carleton University
35003000 Dominican University College/Collège Universitaire Dominicain
35004000 University of Guelph
35005000 Lakehead University
35006000 Laurentian University of Sudbury/Université Laurentienne de Sudbury
35007000 McMaster University
35008000 Nipissing University
35010000 University of Ottawa/Université d'Ottawa
35010002 Saint-Paul University/Université Saint-Paul
35011000 Queen's University
35014000 Ryerson University
35015000 University of Toronto
35015004 St. Augustine's Seminary
35015005 University of St. Michael's College
35015006 University of Trinity College
35015007 Victoria University
35015008 Knox College
35015009 Wycliffe College
35015011 Regis College
35016000 Trent University
35017000 University of Waterloo
35017002 St. Jerome's University
35017003 Renison University College
35017004 Conrad Grebel University College
35018000 University of Western Ontario
35018002 Brescia University College
35018003 Huron University College
35018004 King's College
.35019000 Wilfred Laurier University
.35020000 University of Windsor
35021000 York University
35022000 Ontario College of Art
35023000 University of Ontario Institute of Technology
35024000 Algoma University College
35026000 University of Sudbury
35027000 Université de Hearst
35028000 Huntington University
35029000 Thorneloe University
Manitoba
46001000 Brandon University
46002000 Canadian Mennonite University
46005000 University of Manitoba
46005002 Université de Saint-Boniface
46005003 St. Andrew's College – University of Manitoba
46006000 University of Winnipeg
Saskatchewan
47004000 University of Regina
47004002 Campion College
47004003 Luther College
47005000 University of Saskatchewan
47005002 College of Emmanuel and St. Chad
47005003 Lutheran Theological Seminary
47005004 St. Andrew's College
47005005 St. Thomas More College
47005008 Horizon College & Seminary
Alberta
48001000 University of Alberta
48002000 Athabasca University
48005000 University of Calgary
48007000 Burman University
48008000 Concordia University of Edmonton
48009000 University of Lethbridge
48011000 The King's University College
48014000 Ambrose University
48015000 Grant MacEwan University
48029000 Mount Royal University
British Columbia
59001000 University of British Columbia
59002000 University of Northern British Columbia
59005000 Royal Roads University
59007000 Simon Fraser University
59009000 University of Victoria
59048000 Thompson Rivers University
59049000 Capilano University
59051000 Vancouver Island University
59052000 Emily Carr University of Art and Design
59053000 Kwantlen Polytechnic University
59054000 University of the Fraser Valley
Yukon
60002000 Yukon University

Element 02: Permanent Identification Number

Description:

A nine - digit code chosen by the institution which identifies each staff member.

Notes:

This code should be unique, never be re-assigned and remain the same from year to year for each individual staff member. Examples of codes used by institutions are social insurance number, payroll number etc.

Alpha-numeric codes may be used.

Please ensure that there are no duplicate permanent identification numbers.

This element must not be blank.

Codes:

As assigned by the institution.

Element 03: Gender

Description:

A one - digit element to report the gender of the staff member.

Notes:

Gender refers to the gender that a person internally feels and or the gender a person publicly expresses in their daily life, including at work, while shopping or accessing other services, in their housing environment or in the broader community. A person's current gender may differ from the sex a person was assigned at birth (male or female) and may differ from what is indicted on their current legal documents. A person's gender may change over time.

Male gender refers to those persons whose current gender is male. This includes cisgender and transgender person who were reported as being male.

Female gender includes persons whose current gender is female. This includes cisgender and transgender persons who reported as being female.

Another gender (gender diverse) includes persons whose current gender was not reported exclusively as male or female. It includes persons who were reported as being unsure of their gender, persons who were reported as both male and female, or neither male or female.

Codes:

1. Male gender

2. Female gender

3. Another gender

Element 04: Year of Birth

Description:

A four - digit element to report the staff member's year of birth.

Codes:

Four digits of the year of birth.

Element 05: Department

Description:

A two - digit code to report the department to which the staff member is appointed.

Notes:

Please note that previously, reporting this data element was optional but is now mandatory.

Please report the department using the 2 - digit Classification of Instructional Programs (CIP) 2016 codes listed on the following pages. For further assistance on determining the correct codes, please consult the full version of the CIP coding manual or for a more detailed description contact the UCASS team.

For cross appointments, please report the department in which the staff member spends the majority of their time.

Codes:

The list of 2 - digit CIP codes is given on the following pages.

Element 06: Salary Status

Description:

A one - digit element to identify the salary status of the staff members.

Codes:

1. Staff members who are paid according to regular salary scales. This can include lay or religious staff.

2. All staff members paid according to salary scales that are lower than regular salary scales. This can include religious, military or other staff.

Element 07: Actual Salary

Description:

A seven - digit element to report the actual gross salary (including vacation pay) that the staff member is expected to receive during the salary year.

Please exclude stipends or other honoraria for administrative duties. Any extra payments such as those received for summer employment, extension work, or others are also to be excluded.

Notes:

Please note that every staff member should have an actual salary reported.

The reported actual salary should reflect all newly negotiated settlements applicable as of October 1 and should not include expected increases or adjustments which may become effective at a later date. If salaries are not negotiated by that date, please report the newly negotiated settlement applicable as of October 1, when they become known.

For medical/dental staff, it is understood that, in most cases, the institution itself, provincial medical care institutions (e.g. hospitals) and/or medical care plan contribute to the staff member's salary at an agreed upon ratio. In some institutions, staff receive all their remuneration directly from the university and the university bills the hospital (or medical care plan) for the latter's share. In other cases, the staff member receives remuneration from the university, the hospitals and/or medical care plan. In order to keep the actual salary reported as comparable as possible among institutions, please include, for medical/dental staff, both the university contribution and the contribution by hospitals and/or medical care plans (excluding special grants, fees for services to patients, guarantees, etc.).

The following elements will affect the actual salary:

  1. Element 11: "Number of months on sabbatical leave during the current academic year": For example, if the staff member had a non 100% reimbursed sabbatical leave, it is expected that the actual salary reported would be reduced.
  2. Element 12: "Number of months on unpaid leave during the current academic year". For example, if the staff member took 6 months of unpaid leave, it is expected that the actual salary would be reduced by about 50%.
  3. Element 13: "Reduced load". For example, if a staff member had a 75% load reduction, it is expected that the actual salary would be reduced to 75% of the annual rate of salary.

Exclusions:

Administrative stipends and other honorarium for administrative duties.

Research grants.

Extra payments such as those for overload, extension and summer employment.

Codes:

Seven - digit numeric value (without decimals)

0000000. Only those staff who are on leave without pay for the whole salary year or staff who do not receive an allowance or salary.

Element 08: Annual Rate of Salary

Description:

A seven - digit element to report the annual gross salary (including vacation pay) the staff member is expected to receive during the salary year.

Please exclude stipends or other honoraria for administrative duties. Any extra payments such as those received for summer employment, extension work, or others are also to be excluded.

Notes:

The reported annual rate of salary should reflect all newly negotiated settlement applicable as of October 1 and should not include expected increases or adjustment which may become effective at a later date. If salaries are not negotiated by that date, please report the newly negotiated settlement applicable as of October 1, when they become known.

For those staff on sabbatical leave, unpaid leave and reduced load please report the annual gross salary that would have been paid had the staff member not gone on leave or had a reduced load.

The "Annual Rate of Salary" will be the same as the "Actual Salary" (Element 07) where the staff member is employed for the full 12 months of the year and is not on an unpaid leave, reduced load or 100% non-reimbursed sabbatical leave.

For medical/dental staff, please report (on an annual rate basis), the staff member's income from all sources including operating and trust funds from the university, hospitals and/or medical care plans, and special grants from health or research agencies but excluding fees for service to patients and guarantees. The reported income should relate to the university appointment only and not to outside activities unrelated to this appointment.

Exclusions:

Administrative stipends and other honorarium for administrative duties.

Research grants.

Extra payments such as those for overload, extension and summer employment.

Codes:

Seven - digit numeric value (without decimals).

Please report the salary even if it is the same as what was reported in element 07.

0000000. Only those staff who do not receive an allowance or salary.

Element 09: Administrative Stipends

Description:

A six - digit element to report annual stipends or other honorarium paid to the staff member for administrative duties.

Notes:

Please include only those annual stipends and other honorarium that are received for administrative duties. Payments given to the staff member for non-administrative duties are not to be included.

This element is related to "Element 10: Senior Administrative Responsibilities, Researchers and Visitors". If a staff member is coded as having senior administrative responsibilities (i.e. codes 1-5 and 9), then it is expected that they will receive an administrative stipend. The exception is where other arrangements are made for re-imbursement, in which case this element should be coded as "999999".

Examples of where the stipend should be reported as "999999":

  • It is included in their salary,
  • They are given course relief,
  • The payment is made to their research fund etc.

Exclusions:

  • Funds received for research grants such as Canada Research Chairs and others.
  • Stipends received for non-administrative duties.

Codes:

Six - digit numeric value (without decimals)

000000. If the staff member does not have administrative duties.

999999. If the staff member has administrative duties but does not receive a separate stipend.

Element 10: Senior Administrative Responsibilities, Researchers and Visitors

Description:

A one - digit code to report researchers, visitors and those staff members with senior administrative responsibilities.

Notes:

Please report all staff members holding senior administrative positions, including those in an acting capacity.

All visiting staff are to be coded either 6 or 8 regardless of their responsibilities. Please note that they should be coded 4 in element 24: "Type of Appointment".

All research staff who have an academic rank and are paid according to regular salary scales, should be coded either 7 or 8.

It is expected that an administrative stipend would be reported (in element 09) for those staff who are coded as 1 to 5, and in some cases coded as 9.

Codes:

0. Teacher with no senior administrative duties

1. Dean

2. Assistant dean, associate dean, vice-dean

3. Director whose responsibilities and salary are equivalent to those of a dean. Those directors not equivalent to deans would be coded as 4.

4. Director, department head, coordinator

5. Chairperson

6. Visitor with teaching responsibilities e.g., staff with a permanent affiliation to another university or organization

7. Researchers - non-visitors. Researchers are defined as full-time research staff who have an academic rank and a salary scale similar to teaching staff. Please note that their principal subject taught (element 27) should be coded as 9998.

8. Researchers – visitors. Researchers are defined as full-time research staff who have an academic rank and a salary scale similar to teaching staff. Please note that their principal subject taught (element 27) should be coded as 9998.

9. Other - Assistant and associate director, assistant or associate department head, assistant or associate coordinator, assistant or associate chairperson and any other.

Element 11: Number of Months on Sabbatical Leave* During the Current Academic Year

Description:

A 2 - digit element to report the number of months on sabbatical leave.

Notes:

This element requests information on leave that relates to the full academic year.

Codes: 01 to 12: two digits indicating the Number of months on sabbatical leave during the academic year

* As approved by the time institution reports to Statistics Canada.

Element 12: Number of Months on Unpaid Leave * During the Current Academic Year

Description:

A 2 digit element, to report the number of months on unpaid leave.

Notes:

This element requests information on leave that relates to the full academic year and as approved by the time the institution reports to Statistics Canada.

Codes:

01 to 12: two digits indicating the number of months on unpaid leave during the academic year.

* As approved by the time institution reports to Statistics Canada.

Element 13: Reduced Load

Description:

A two - digit element to report the percentage of a full load worked by a full-time academic staff.

Notes:

This applies to full-time staff members who have entered into a formal agreement with the institution to carry his/her duties on a reduced load, for the whole year or that part of the year not on leave.

Please report the percentage of a full load carried by the full-time academic staff member.

For staff members on reduced load, the actual salary (element 07) must be lower than the annual rate of salary (element 08). For example, if the reduced load is 75% (of a full load) for 12 months, we would expect the actual salary to be around 75% of the annual rate of salary.

For staff members not on a reduced load, please use code 00.

Codes:

10 to 95. Possible range reported of workload values.

00. Staff members not on a reduced load.

Example: If, according to contract terms, a staff member is on a 75% workload, please indicate 75 for this element.

Element 14: Previous Employment

Description:

A two - digit element, to report the staff member's employment/occupation that they held immediately prior to their appointment (or reappointment) to the institution.

Notes:

The employment/occupation that the staff member held immediately prior to the Year of appointment to institution specified in Element 26.

Codes:

01. University: Teaching or non-teaching position at a university or affiliated college, or other educational institution where teaching is defined as set out in the introduction to this manual (page 2: "Coverage").

02. Non-university: Teaching or non-teaching position at other educational institutions (including community colleges).

03. Student (including postdoctoral fellows).

04. Public sector: Employment in a government department or agency. This includes hospitals and other publicly funded clinics or other organized health care agency and the military.

05. Private sector: Employment in the private sector (including those that are self-employed).

06. Other

99. Unknown

Element 15: Province or Country of Previous Employment

Description:

Please report the province in which the staff member held the position of their employment (occupation) immediately prior to being appointed (reappointed) to the institution. If outside of Canada, please report the country.

Notes:

An alphabetical listing of province and country codes is presented on the following pages. A listing of country codes in numerical order is also available, by contacting the survey subject matter analyst (co-ordinates on page 5).

If a country code does not appear on the list, please contact the UCASS team (co-ordinates on page 5).

Codes:

Please refer to the following pages for a list of the Province and Country codes.

99999. Unknown

Element 16: Year of First Degree

Description:

A four - digit element to report the year in which the staff member obtained their first university degree, postsecondary diploma or professional designation.

Codes:

Four digits of the year in which the first university degree, postsecondary diploma or professional designation was obtained.

9998. No degree, diploma or professional designation.

9999. Unknown

Element 17: Province or Country of First Degree

Description:

A five - digit code to report the province in which the staff member's first university degree, postsecondary diploma or professional designation was obtained. If outside of Canada, please report the country code. If a country is not identified in the list of Country Codes, please contact the subject matter analyst (co-ordinates on page 5).

Codes:

The list of province and country codes is given in element 15 (see Table 4).

99899. If code 9998 was used in element 16, then please code 99899 for this element.

99999. Unknown.

Element 18: Level of Highest Earned Degree

Description:

A one - digit code to report the level of the staff member's highest earned degree, diploma or professional designation.

Notes:

Please note that it is the highest degree, and not the most recent, which is required. The following codes list the degrees in order of highest to lowest. Please exclude all anticipated and all honorary degrees.

Codes:

1. PhD. or any other equivalent doctoral degree (i.e. Ed.D, D.Sc, D.S.W)

2. Professional degree - This code refers to medical and paramedical degrees only. For example, the following degrees would be included in this category: M.D. (Medical Doctor), D.D.S. (Doctor of Dental Surgery), D.D.M. (Doctor of Dental Medicine), D.V.M. (Doctor of Veterinary Medicine).
Please do not include the Masters of Social Work (code 3) or the LLB: Bachelors of Laws and Letters (code 4) degrees in this category.

3. Masters degree and equivalent (e.g., M.A., M.Sc., M.S.W., M.B.A., etc).

4. Bachelors degree (e.g., LL.B., B.A., B.Sc., B.Ed., etc).

5. All other credentials. This includes undergraduate and graduate diplomas, professional designations other than a degree (e.g., C.A., C.G.A., C.M.A., C.P.A., teaching certificate but no degree, etc.) and any others.

8. No degree, diploma or professional designation.

9. Unknown

Element 19: Year of Highest Earned Degree

Description:

A four - digit element to report the year in which the highest earned degree as specified in element 18, was obtained.

Notes:

If the staff member has two or more degrees at the same level, please report the year of the most recent degree. For example, if the staff member has two doctorate degrees, one obtained in 1960 and the other in 1965, please report 1965 for this element.

Similarly, if the staff member has two degrees, the most recent of which is at a lower level than the first, e.g., M.D. obtained in 1965, and M.Sc. in 1972, please report the year of the higher degree, in this case 1965 (M.D.).

If a staff member has a degree which is higher than a bachelor's degree, it is expected that the year of highest earned degree will be later (e.g. M.A. in 2010) than the element 16: "Year of First Degree" (e.g. B.A. in 2005).

Codes:

A four - digit code indicating the year when the highest earned degree was obtained.

9998. If code 8 was used in element 18, then please code 9998 for this element.

9999. Unknown.

Element 20: Province or Country of Highest Degree

Description:

A five - digit code to report the province or country of the highest earned degree (as reported in element 18).

Notes:

Please report the province in which the highest earned degree that was specified in element 18 was obtained. If outside of Canada, please report the country.

Codes:

The list of province and country codes is given in element 15 (see Table 4).

99899. If code 8 was used in element 18, please report code as 99899 for this element.

99999. Unknown.

Element 21: Country of Citizenship at Time of Appointment

Description:

A five - digit code to report the staff member's country of citizenship for the year that they were appointed to the institution (as reported in element 26).

Codes:

The list of province and country codes is given in element 15 (see Table 4).

99999. Unknown

Element 22: Rank

Description:

A one - digit code to report the staff member's current rank.

Codes:

1. Full professor

2. Associate professor

3. Assistant professor

4. Ranks/level below assistant professor: includes lecturers, instructors, and other teaching staff

5. Other: includes staff that do not fit in the categories described above (ungraded).

Element 23: Year of Appointment to Present Rank at Current Institution

Description:

A four - digit element, to report the year in which the staff member attained their current rank (as reported in element 22) at their current institution.

Notes:

Please note the following when deciding what year to report:

  1. The year should only change when a staff member has been promoted from one rank to the next. The year does not change when the administrative responsibilities change.
  2. The service between the year of appointment to the current rank (as indicated in this element) and the present year must be both uninterrupted and full-time. It is recognized that leave can be granted without interrupting the continuous service.
  3. If the period of employment at the current rank has been interrupted (i.e., the staff member has severed their connection with the institution), the year of reappointment should be reported.
  4. It is quite possible that the year reported in this element will be the same as that reported in element 26 ("Year of Appointment to Institution"). This would occur when the staff member has not had a change in rank since their appointment (or reappointment) to the institution.

Codes:

Four - digits of the year in which the staff member attained their present rank.

9999. Unknown

Element 24: Type of Appointment

Description:

A one - digit element to report the type of appointment held by the staff member at the institution.

Notes:

Those teachers who have been granted tenure should be coded as 1.

Teachers for whom, in the normal course of events, e.g., after a certain period of time and, in some cases, upon completion of their doctorate, a tenure review is required by university policy are to be coded as 2.

Staff for whom no tenure review is required should be coded as 3. This category includes teachers hired for one year or more, with no formal commitment on the part of the university to renew their contract, although the contract may in fact be renewed (or has been renewed).

Those reported as code 4 (visiting staff), should also have been reported as code 6 or 8 in Element 10 "Senior Administrative Responsibilities, Researchers and Visitors".

Codes:

1. Tenured

2. Leading to tenure, probationary

3. Non – tenured staff. This could include annual, sessional or other definite term contracts. Other terms used to describe staff in this category are "full-time term employees", "limited term positions", and other contractual staff whose contracts are greater than 12 months.

4. Visiting staff, i.e., staff with a permanent affiliation to another university or organization.

5. Other staff: Continuing staff (i.e. staff neither on tenure stream nor on definite term contract).

Element 25: Medical or Dental Appointment Category

Description:

A one - digit element, to report the appointment category of the staff in the faculties of medicine (including veterinary medicine) and/or dentistry.

Notes:

Medical/dental teaching staff is defined as those who are teaching in department/programs which typically award/train students for either an MD or DDS degree (or post MD/DDS degrees). These staff should be coded as "0", "1" or "2". Please do not report other teaching staff who may be in the Faculty of Medicine or Dentistry who do not focus on the training of students in these fields (i.e. Nursing, Occupational Therapy etc.). All other teaching staff should be coded as "9" (non-medical /dental).

Code 0: Regular full-time (12 months) academic staff
This is a regular academic appointment similar to that in any other faculty. The appointee receives his full salary from the institution. This category usually applies to all basic medical science departments and to other medical or dental staff who are not engaged in private practice. It also includes those staff who are supported by research grants but whose income is administered by the university. These staff are expected to hold some teaching responsibilities.

Code 1: Geographic full-time (12 months) academic staff
This category applies to all medical and dental staff who are engaged in the practice of medicine as well as teaching (i.e. clinicians). Geographic full-time staff members usually receive an established percentage of their regular salary from the university and the remaining portion from provincial medical care institutions (e.g., hospitals) and/or medical care plans. In addition, they are entitled to earn an income (limited by a ceiling) for service to patients. The staff members are usually assigned to a specific hospital. Although they may receive only a percentage of their income from the university, they are counted as full-time members of the institution. Please include all clinicians in this category.

Code 2: Full-time (12 months) joint appointments
This category includes medical and dental staff who have received a letter of appointment from both the university and one of the teaching hospitals. Salaries are paid by both institutions at an agreed upon ratio.

Exclusions:

The following categories of medical staff are to be excluded from the survey:

  1. Major part-time
    These staff members spend approximately 50% of their time in a teaching hospital. Their offices are not located in the hospital and there is no ceiling on the income they earn from outside patients although there is a ceiling on the earnings made through the clinical teaching units.
  2. Part-time
    These staff members are usually community practitioners who do not receive a formal letter of appointment from the institution but rather are engaged by department heads as demonstrators or teaching assistants. These casual staff members may teach both graduate and undergraduate students, on an average of several hours per week, and also may be involved in clinical research.

Codes:

0. Regular full-time academic staff member

1. Geographic full-time academic staff member

2. Full-time joint appointment

9. Not applicable (staff member is not in a faculty of medicine or dentistry)

Element 26: Year of Appointment to Current Institution

Description:

A four - digit element to report the year of appointment (or reappointment) to a full-time position in a current institution.

Notes:

Please note that the service between the year reported in this element and the present year must be both full-time and uninterrupted (i.e., the staff member has not severed their connection with the institution during this period). Leave (sabbatical, leave of absence, etc.) should not be interpreted as interrupting the continuous service, i.e., when a staff member goes on leave, it does not change their year of appointment to the institution. Similarly, if a staff member assumes a non-academic position in the university for a period of time and then returns to teaching, the period spent in that position should not be interpreted as interrupting continuous service. However, during the time the person holds such a position they should not be reported as a full-time teacher.

It does not matter whether the staff member's appointment was originally temporary, probationary or permanent or has been a series of one-year contracts. As long as the employment has been continuous from year to year and full- time in each year, the year of appointment should be reported as the earliest year in which the staff member joined the institution on a full-time basis. For example, in year 1, a staff member held a full-time probationary appointment which was made permanent in year 2. Year 1 would be reported as the year of appointment.

For the staff member who was employed full-time (12 months) during the past, then, (1) severed his or her connection with the institution, or (2) they obtained a teaching position which is other than full-time (12 months), and was later re-hired to a full-time (12 months) position, the year of reappointment is the one that should be reported in this element.

Please note that the year of appointment to the institution (as reported in this element) cannot be later than the year of appointment to the present rank at current institution (element 23).

Codes:

Four - digits of the year the staff member was appointed (or reappointed) to the institution.

Element 27: Principal Subject Taught

Description:

A four - digit element describing the principal subject taught of the staff member.

Notes:

Please report using the CIP (Classification of Instructional Programs) code at the 4 - digit level. A numerical and alphabetical listing of programs is provided on the following pages. Please code this element according to the subject in which the staff member spends the largest portion of their teaching time.

For further assistance on determining the correct codes, please consult the full version of the CIP coding manual for a more detailed description or contact the UCASS team. Please note that the 2016 CIP codes are currently being used.

For staff members, who are on leave, please report the subject that they would have taught had the staff member been teaching.

Codes:

The list of 4 - digit CIP codes is given on the following pages.

9998. Not applicable (researchers).

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination – Q3 2021

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination – Q2 2021
Table summary
This table displays the results of C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination. The information is grouped by Duration of trip (appearing as row headers), Main Trip Purpose, Country or Region of Trip Destination (Total, Canada, United States, Overseas) calculated using Person-Trips in Thousands (× 1,000) and C.V. as a units of measure (appearing as column headers).
Duration of Trip Main Trip Purpose Country or Region of Trip Destination
Total Canada United States Overseas
Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V.
Total Duration Total Main Trip Purpose 86,787 A 85,804 A 344 D 639 B
Holiday, leisure or recreation 44,488 A 44,209 A 86 D 192 C
Visit friends or relatives 29,108 A 28,568 A 184 E 356 C
Personal conference, convention or trade show 319 C 310 C ..   9 E
Shopping, non-routine 3,848 B 3,848 B ..   ..  
Other personal reasons 4,861 B 4,811 B 22 E 27 E
Business conference, convention or trade show 409 E 397 E 7 E 5 E
Other business 3,754 B 3,660 B 45 E 50 E
Same-Day Total Main Trip Purpose 51,337 A 51,283 A 53 E ..  
Holiday, leisure or recreation 23,680 A 23,680 A ..   ..  
Visit friends or relatives 16,957 A 16,903 A 53 E ..  
Personal conference, convention or trade show 219 C 219 C ..   ..  
Shopping, non-routine 3,662 B 3,662 B ..   ..  
Other personal reasons 3,660 B 3,660 B ..   ..  
Business conference, convention or trade show 283 E 283 E ..   ..  
Other business 2,877 B 2,877 B ..   ..  
Overnight Total Main Trip Purpose 35,451 A 34,521 A 290 C 639 B
Holiday, leisure or recreation 20,808 A 20,529 A 86 D 192 C
Visit friends or relatives 12,152 A 11,665 A 130 C 356 B
Personal conference, convention or trade show 100 C 91 C ..   9 E
Shopping, non-routine 187 C 187 C ..   ..  
Other personal reasons 1,201 B 1,152 B 22 E 27 E
Business conference, convention or trade show 126 C 115 E 7 E 5 E
Other business 877 B 783 B 45 E 50 E
..
data not available

Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:

A
c.v. between or equal to 0.00% and 5.00% and means Excellent.
B
c.v. between or equal to 5.01% and 15.00% and means Very good.
C
c.v. between or equal to 15.01% and 25.00% and means Good.
D
c.v. between or equal to 25.01% and 35.00% and means Acceptable.
E
c.v. greater than 35.00% and means Use with caution.

National Travel Survey: Response Rate – Q3 2021

National Travel Survey Q2 2021: Response Rate
Table summary
This table displays the results of Response Rate. The information is grouped by Province of residence (appearing as row headers), Unweighted and Weighted (appearing as column headers), calculated using percentage unit of measure (appearing as column headers).
Province of residence Unweighted Weighted
Percentage
Newfoundland and Labrador 23.8 22.1
Prince Edward Island 25.8 23.4
Nova Scotia 29.2 26.4
New Brunswick 28.1 24.8
Quebec 33.3 29.1
Ontario 31.8 29.4
Manitoba 31.5 28.6
Saskatchewan 29.7 26.8
Alberta 27.6 26.1
British Columbia 32.4 30.6
Canada 30.5 28.8

Statement outlining results, risks and significant changes in operations, personnel and program

A) Introduction

Statistics Canada's mandate

Statistics Canada ("the agency") is a member of the Innovation, Science and Industry portfolio.

Statistics Canada's role is to ensure that Canadians have access to a trusted source of statistics on Canada that meets their highest priority needs.

The agency's mandate derives primarily from the Statistics Act. The Act requires that the agency collects, compiles, analyzes and publishes statistical information on the economic, social, and general conditions of the country and its people. It also requires that Statistics Canada conduct the census of population and the census of agriculture every fifth year, and protects the confidentiality of the information with which it is entrusted.

Statistics Canada also has a mandate to co-ordinate and lead the national statistical system. The agency is considered a leader, among statistical agencies around the world, in co–ordinating statistical activities to reduce duplication and reporting burden.

More information on Statistics Canada's mandate, roles, responsibilities and programs can be found in the 2021–2022 Main Estimates and in the Statistics Canada 2021–2022 Departmental Plan.

The Quarterly Financial Report:

  • should be read in conjunction with the 2021–2022 Main Estimates;
  • has been prepared by management, as required by Section 65.1 of the Financial Administration Act, and in the form and manner prescribed by Treasury Board of Canada Secretariat;
  • has not been subject to an external audit or review.

Statistics Canada has the authority to collect and spend revenue from other federal government departments and agencies, as well as from external clients, for statistical services and products.

Basis of presentation

This quarterly report has been prepared by management using an expenditure basis of accounting. The accompanying Statement of Authorities includes the agency's spending authorities granted by Parliament and those used by the agency consistent with the Main Estimates for the 2021–2022 fiscal year. This quarterly report has been prepared using a special purpose financial reporting framework designed to meet financial information needs with respect to the use of spending authorities.

The authority of Parliament is required before moneys can be spent by the Government. Approvals are given in the form of annually approved limits through appropriation acts or through legislation in the form of statutory spending authority for specific purposes.

The agency uses the full accrual method of accounting to prepare and present its annual departmental financial statements that are part of the departmental results reporting process. However, the spending authorities voted by Parliament remain on an expenditure basis.

B) Highlights of fiscal quarter and fiscal year-to-date results

This section highlights the significant items that contributed to the net increase in resources available for the year, as well as actual expenditures for the quarter ended December 31.

Comparison of gross budgetary authorities and expenditures as of December 31, 2020, and December 31, 2021, in thousands of dollars
Description for Chart 1: Comparison of gross budgetary authorities and expenditures as of December 31, 2020, and December 31, 2021, in thousands of dollars

This bar graph shows Statistics Canada's budgetary authorities and expenditures, in thousands of dollars, as of December 31, 2020 and 2021:

  • As at December 31, 2020
    • Net budgetary authorities: $636,241
    • Vote netting authority: $120,000
    • Total authority: $756,241
    • Net expenditures for the period ending December 31: $452,731
    • Year-to-date revenues spent from vote netting authority for the period ending December 31: $51,350
    • Total expenditures: $504,081
  • As at December 31, 2021
    • Net budgetary authorities: $895,374
    • Vote netting authority: $120,000
    • Total authority: $1,015,374
    • Net expenditures for the period ending December 31: $728,030
    • Year-to-date revenues spent from vote netting authority for the period ending December 31: $60,828
    • Total expenditures: $788,858

Chart 1 outlines the gross budgetary authorities, which represent the resources available for use for the year as of December 31.

Significant changes to authorities

Total authorities available for 2021–2022 increased by $259.1 million, or 34.3%, from the previous year, from $756.2 million to $1,015.4 million (Chart 1). The net increase is mostly the result of the following:

  • An increase of $222.5 million for the 2021 Census of Population and Census of Agriculture programs for new cyclical funding received to cover operational activities;
  • An increase of $24.3 million for collective bargaining and other compensation adjustments negotiated by the unions;
  • An increase of $15.7 million in response to financial pressures on cost-recovery activities during the pandemic;
  • A decrease of $11.0 million for various initiatives including Workload Migration, Enabling Vision for Data-Drive Economy and Society and the New Anti-Racism Strategy.

In addition to the appropriations allocated to the agency through the Main Estimates, Statistics Canada also has vote net authority within Vote 1, which entitles the agency to spend revenues collected from other federal government departments, agencies, and external clients to provide statistical services. The vote netting authority is stable at $120 million when comparing the third quarter of fiscal years 2020–2021 and 2021-2022.

Significant changes to expenditures

Year-to-date net expenditures recorded to the end of the third quarter increased by $275.3 million, or 60.8% from the previous year, from $452.7 million to $728.0 million (see Table A: Variation in Departmental Expenditures by Standard Object).

Statistics Canada spent approximately 81.3% of its authorities by the end of the third quarter, compared with 71.2% in the same quarter of 2020–2021.

Table A: Variation in Departmental Expenditures by Standard Object (unaudited)
This table displays the variance of departmental expenditures by standard object between fiscal 2020-2021 and 2021-2022. The variance is calculated for year to date expenditures as at the end of the third quarter. The row headers provide information by standard object. The column headers provide information in thousands of dollars and percentage variance for the year to date variation.
Departmental Expenditures Variation by Standard Object: Q3 year-to-date variation between fiscal year 2020–2021 and 2021–2022
$'000 %
(01) Personnel 80,010 17.7
(02) Transportation and communications 55,742 1,840.3
(03) Information 16,733 318.7
(04) Professional and special services 129,591 764.3
(05) Rentals 598 3.0
(06) Repair and maintenance 774 266.0
(07) Utilities, materials and supplies -195 -20.4
(08) Acquisition of land, buildings and works -247 -91.8
(09) Acquisition of machinery and equipment 1,412 38.3
(10) Transfer payments - N/A
(12) Other subsidies and payments 359 76.2
Total gross budgetary expenditures 284,777 56.5
Less revenues netted against expenditures:
Revenues 9,478 18.5
Total net budgetary expenditures 275,299 60.8
Note: Explanations are provided for variances of more than $1 million.

Personnel: There is an overall increase in the agency’s activities due to the 2021 Census operations. The increase is also attributable to additional workload required for efforts related to supporting the response to the pandemic and the migration to the cloud. Furthermore, it reflects recently ratified collective agreements, as well as additional compensation secured in response to settlements negotiated for issues related to the Phoenix payroll system.

Transportation and communications: The increase is mainly due to postage costs for the mailing of Census questionnaires and related materials, as well as travel expenditures for enumerators for 2021 Census collection activity occurring this fiscal year.

Information: The increase is mainly due to advertisement cost for the 2021 Census operations and to printing costs for the 2021 Census materials such as questionnaires, envelopes, and letters.

Professional and special services: The increase is mainly due to the remuneration of Statistics Act employees hired to conduct the 2021 Census.

Acquisition of machinery and equipment: The increase is mainly due to the purchase of informatics equipment as per the Capital Plan.

Revenues: The increase is mainly due to the closing of regional offices and a delay in recording cost recovery activities related to Census during the beginning of the pandemic last fiscal year.

C) Risks and uncertainties

Statistics Canada is currently focusing effort on modernizing its business processes and tools, in order to maintain its relevance and maximize the value it provides to Canadians. As a foundation piece for some of these efforts, the agency is working in collaboration with Shared Services Canada and Treasury Board of Canada Secretariat, Office of the Chief Information Officer, to ensure the agency has access to adequate information technology services and support to attain its modernization objectives and successfully transition its infrastructure and applications to the cloud. Activities and related costs are projected based on various assumptions that can change, depending on the nature and degree of work required to accomplish the initiatives. Risks and uncertainties are being mitigated by the agency's strong financial planning management practices and integrated strategic planning framework.

D) Significant changes to operations, personnel and programs

The agency is managing changes in operations and program activities with financial implications including:

  • The Census program is in its advanced implementation stage for the 2021 Census. As such, expenditures for this program increased as planned. Statistics Canada is undertaking major activities this fiscal year that are critical to the success of the 2021 Census of Population. These activities include hiring field staff, collecting data, follow-up with respondents, processing of returns, developing and testing dissemination systems and processes, and starting data quality and evaluation studies. These activities culminate in the first of the Census data releases, the Population and Dwelling Counts, in February 2022;
  • Continued effort and collaboration to provide data and insights related to the impact of the pandemic on the society and economy;
  • Budget 2021 announced funding for new initiatives including Disaggregated Data Action Plan, Justice Data Modernization, Quality of Life Framework for Canada, and the Health Care Access, Experiences and Related Outcomes Statistical Program, as well as Census of Environment.

Approval by senior officials

Approved by:

Anil Arora, Chief Statistician
Ziad Shadid, Acting Chief Financial Officer
Ottawa, Ontario
Signed on: February 18, 2022

Appendix

Statement of Authorities (unaudited)
This table displays the departmental authorities for fiscal years 2020-2021 and 2021-2022. The row headers provide information by type of authority, Vote 105 – Net operating expenditures, Statutory authority and Total Budgetary authorities. The column headers provide information in thousands of dollars for Total available for use for the year ending March 31; used during the quarter ended December 31; and year to date used at quarter-end of both fiscal years.
  Fiscal year 2021–2022 Fiscal year 2020–2021
Total available for use for the year ending March 31, 2022Tablenote 1 Used during the quarter ended December 31, 2021 Year-to-date used at quarter-end Total available for use for the year ending March 31, 2021Tablenote 1 Used during the quarter ended December 31, 2020 Year-to-date used at quarter-end
in thousands of dollars
Vote 1 — Net operating expenditures 808,940 146,904 667,199 560,162 113,147 395,671
Statutory authority — Contribution to employee benefit plans 86,434 20,277 60,831 76,079 19,020 57,060
Total budgetary authorities 895,374 167,181 728,030 636,241 132,167 452,731
Tablenote 1

Includes only Authorities available for use and granted by Parliament at quarter-end.

Return to tablenote 1 referrer
Departmental expenditures by Standard Object (unaudited)
Table summary: This table displays the departmental expenditures by standard object for fiscal years 2020-2021 and 2021-2022. The row headers provide information by standard object for expenditures and revenues. The column headers provide information in thousands of dollars for planned expenditures for the year ending March 31; expended during the quarter ended December 31; and year to date used at quarter-end of both fiscal years.
  Fiscal year 2021–2022 Fiscal year 2020–2021
Planned expenditures for the year ending March 31, 2022 Expended during the quarter ended December 31, 2021 Year-to-date used at quarter-end Planned expenditures for the year ending March 31, 2021 Expended during the quarter ended December 31, 2020 Year-to-date used at quarter-end
in thousands of dollars
Expenditures:
(01) Personnel 678,110 169,408 533,296 601,596 159,160 453,286
(02) Transportation and communications 72,692 5,352 58,771 24,811 1,465 3,029
(03) Information 27,901 5,939 21,984 27,521 1,955 5,251
(04) Professional and special services 205,167 8,443 146,547 62,999 4,934 16,956
(05) Rentals 18,503 2,442 20,483 14,755 2,095 19,885
(06) Repair and maintenance 779 242 1,065 973 -385 291
(07) Utilities, materials and supplies 1,924 162 759 2,341 709 954
(08) Acquisition of land, buildings and works 756 22 22 741 176 269
(09) Acquisition of machinery and equipment 9,485 2,399 5,101 20,359 760 3,689
(10) Transfer payments - - - 100 - -
(12) Other subsidies and payments 57 262 830 45 -79 471
Total gross budgetary expenditures 1,015,374 194,671 788,858 756,241 170,790 504,081
Less revenues netted against expenditures:
Revenues 120,000 27,490 60,828 120,000 38,623 51,350
Total revenues netted against expenditures 120,000 27,490 60,828 120,000 38,623 51,350
Total net budgetary expenditures 895,374 167,181 728,030 636,241 132,167 452,731

Export Import Price Report 2022

General Information

The Export Import Price Report collects prices for representative commodities directly from Canadian exporters and importers. These prices are used to construct the Export Import Price Index (EIPI), which measures the change over time in the prices of goods purchased abroad by Canadian importers or sold to foreign buyers by Canadian exporters. The EIPI is also used to improve estimates of trade and real gross domestic product (GDP), and to measure import and export price trends for detailed and aggregate product groups. This information allows for greater international comparability and for better tracking of inflationary pressure in the economy. Your information may also be used by Statistics Canada for other statistical and research purposes.

You are legally required to complete this questionnaire according to the Statistics Act.

Purpose

The survey is conducted to collect prices for representative export and import commodities, directly from Canadian exporters and importers.

Authority

How are we authorized to collect this information?

Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Confidentiality

Your answers are confidential.

Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes.

Record linkage

To enhance the data from this survey and to minimize the reporting burden, Statistics Canada may combine it with information from other surveys or from administrative sources.

Reporting instructions

For your business, Statistics Canada requires pricing data for selected products under the following Harmonized System (HS) Code:

HS Code and HS Code Description.

The selected products for your business should be among the top five contributors to the annual dollar value of exports or imports for each HS Code. If a product is no longer among the top five contributors, you will be asked to report for another product.

For each product, please verify the product specifications and report the price for each month. Please also report for any missing historical data.

Note

The questionnaire in this format is for information only. It cannot be used to submit information to Statistics Canada.

Request for New Products

1. Initialization Products

This business has been randomly sampled to report for products under the following Harmonized System (HS) codes.

Please indicate the number of products this business will report for each HS Code.

2. Component List / Roster for Initialization Products

Press the Start button to answer the questions required for each product.

Press the Next button once you have completed answering for all products.

3. Can you provide information and pricing details for an [exported/imported] product [to/from] [Country] from within Harmonized System (HS) Code XXXXXX which includes [HS Description]?

  • 1: Yes
  • 2: No

4. Is the product a major revenue generator within HS Code: [XXXXXX] [HS Description] [to/from] [Country] for the business?

  • 1: Yes
  • 2: No
  • 9: Don't Know

5. Please provide the product information below.

Please ensure that detailed specifications are reported for each product. To facilitate reporting over time, descriptive information (such as color and other product attributes) that uniquely identifies this product should be included.

5.1 Product Identifier: XXXXXX

PLU stands for Price Look Up code. PLU codes are assigned for use with fresh produce that are sold loose, bunched, or in bulk (e.g., an individual apple or bunch of greens).
SKU stands for Stock Keeping Unit. SKU codes are assigned to each brand, flavor or type of product to assist in tracking inventory and ordering.
UPC stands for Universal Product Code. The UPC code is a 12 digit unique code represented by scannable bars or lines of varying widths which originated with the Uniform Code Council.

5.2 Product Identifier Type

  • 1: An internal code
  • 2: SKU (Stock Keeping Unit)
  • 3: UPC (Universal Product Code)
  • 4: PLU (Price Look Up)
  • 5: Other code - specify:

5.3 Product Description
5.4 Manufacturer (if available)

5.5 What is the country of [destination/origin] of the [exported/imported] product?

  • 1: China
  • 2: Germany
  • 3: France
  • 4: India
  • 5: Japan
  • 6: Mexico
  • 7: Philippines
  • 8: South Korea
  • 9: United Kingdom
  • 10: United States
  • 11: Other Country - specify:

5.6 What was the primary mode of transportation used to [export/import] this product?

  • 1: Air
  • 2: Rail
  • 3: Truck
  • 4: Sea
  • 5: Other mode - specify :

5.7 How any times a year is this product [exported/imported]?

6. What is the unit of measure used to price this product?

  • 1: Each - specify size or weight (if available):
  • 2: Per box (e.g. 12 cases per box, 25 packages per case, 12 cartons per case, 144 units per carton) - specify number of items and size or weight (if available):
  • 3: Bulk (e.g. kilogram, litre, metre) - specify size or weight (if available):
  • 4: Other quantity - specify unit of measure and size or weight (if available):

7. Please provide the product information below.

Please report the price for the selected product on the date closest to the 15th of the month.

If not [exported/imported] in a month, please provide your best estimate of the price and select a reason for no price.

If possible, please report prices:

  • In Canadian dollars (CAN$)
  • Which include discounts and promotions
  • Which exclude freight, insurance, taxes and duties
  • Price
  • Currency
  • Reason for no price (if applicable)
    • Temporarily out-of-stock or Back-ordered
    • No sales or no purchases
    • Price data not available at this time
    • Other reason for not reporting the price


8. Specify the other currency provided in the following months.

9. Specify the other reason no price was provided in the following months.

10. Do the prices reported include or exclude the following?

a. Discounts

1: Include
3: Exclude
5: Not applicable

b. Promotions

1: Include
3: Exclude
5: Not applicable

c. Freight & Insurance

1: Include
3: Exclude
5: Not applicable

d. Taxes & Duties

1: Include
3: Exclude
5: Not applicable

11. Report the value of discounts that are not already included in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

12. Report the value of promotions that are not already included in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

13. Report the value of freight and insurance that are not already excluded in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

14. Report the value of taxes and duties that are not already excluded in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

15. What were the reasons for the price change?

  • Material costs
  • Labour costs
  • Overhead costs
  • Exchange rate
  • Response to changes in demand
  • Response to competition
  • Change in customer
  • Change in supplier
  • Change in product
  • Response to changes in supply
  • Commodity markets
  • Different product options
  • Other reason

Product Information - Previously reported products

17. You have previously reported the following products.

Press the Start button to answer the questions required for each product.

Press the Next button once you have completed answering for all products.

18. Did this business [exported/imported] [to/from] [Country] the following product: XXXXXX [during/between] the [month/year].

1: Yes
2: No, but it will be exported/imported in the future
3: No, this product is no longer exported/imported

19. Does the product meet the following criteria?

a. The product falls within the following category of the Harmonized System (HS) Code: XXXXXX?
1: Yes
2: No
9: Don't know

b. The product is [exported/imported] on a regular basis?

1: Yes
2: No
9: Don't know

c. The product is a major revenue generator within Harmonized System (HS) Code:
XXXXXX for the business.

1: Yes
2: No
9: Don't know

20. Please verify the product information for HS Code XXXXXX below.

20.1  Product Identifier: XXXXXX

20.2 Product Identifier Type

  • 1: An internal code
  • 2: SKU (Stock Keeping Unit)
  • 3: UPC (Universal Product Code)
  • 4: PLU (Price Look Up)
  • 5: Other code - specify:

20.3 Product Description

20.4 Manufacturer (if available)

20.5 What is the country of [destination/origin] of the [exported/imported] product?

  • 1: China
  • 2: Germany
  • 3: France
  • 4: India
  • 5: Japan
  • 6: Mexico
  • 7: Philippines
  • 8: South Korea
  • 9: United Kingdom
  • 10: United States
  • 11: Other Country - specify:

20.6 What was the primary mode of transportation used to [export/import] this product?

  • 1: Air
  • 2: Rail
  • 3: Truck
  • 4: Sea
  • 5: Other mode - specify :

20.7 How many times a year is this product [exported/imported]?

21. What is the unit of measure used to price this product?

  • 1: Each - specify size or weight (if available):
  • 2: Per box (e.g. 12 cases per box, 25 packages per case, 12 cartons per case, 144 units per carton) - specify number of items and size or weight (if available):
  • 3: Bulk (e.g. kilogram, litre, metre) - specify size or weight (if available):
  • 4: Other quantity - specify unit of measure and size or weight (if available):

22. Please report the price for the selected product on the date closest to the 15th of the month.

If not [exported/imported] in a month, please provide your best estimate of the price and select a reason for no price.

If possible, please report prices:

  • In Canadian dollars (CAN$)
  • Which include discounts and promotions
  • Which exclude freight, insurance, taxes and duties

Note: If you have already converted prices in foreign currencies to Canadian dollars, please select "Canadian Dollars" (CAN$).

  • Price
  • Currency
  • Reason for no price (if applicable)
    • Temporarily out-of-stock or Back-ordered
    • No sales or no purchases
    • Price data not available at this time
    • Other reason for not reporting the price

23. Specify the other currency provided in the following months.

24. Specify the other reason no price was provided in the following months.

25. Do the prices reported include or exclude the following?

a. Discounts
1: Include
3: Exclude
5: Not applicable

b. Promotions
1: Include
3: Exclude
5: Not applicable

c. Freight & Insurance

1: Include
3: Exclude
5: Not applicable

d. Taxes & Duties
1: Include
3: Exclude
5: Not applicable

26. Report the value of discounts that are not already included in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

27. Report the value of promotions that are not already included in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

28. Report the value of freight and insurance that are not already excluded in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

29. Report the value of taxes and duties that are not already excluded in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

30. What were the reasons for the price change?

  • Material costs
  • Labour costs
  • Overhead costs
  • Exchange rate
  • Response to changes in demand
  • Response to competition
  • Change in customer
  • Change in supplier
  • Change in product
  • Response to changes in supply
  • Commodity markets
  • Different product options
  • Other reason

Product Replacement Information

31. Does this business [export/import] [to/from] [Country] another product in the following category of the Harmonized System (HS): XXXXXX?

  • 1: Yes
  • 2: No

32. Is the replacement product a major revenue generator within HS Code: XXXXXX?

  • 1: Yes
  • 2: No
  • 3: Don't know

33. Please select a product to replace product # for HS Code: XXXXXX. If possible, choose a replacement product that is [exported/imported] on a regular basis.

33.1 Product Identifier: XXXXXX

33.2 Product Identifier Type

  • 1: An internal code
  • 2: SKU (Stock Keeping Unit)
  • 3: UPC (Universal Product Code)
  • 4: PLU (Price Look Up)
  • 5: Other code - specify:

33.3 Product Description

33.4 Manufacturer (if available)

33.5 What is the country of [destination/origin] of the [exported/imported] product?

  • 1: China
  • 2: Germany
  • 3: France
  • 4: India
  • 5: Japan
  • 6: Mexico
  • 7: Philippines
  • 8: South Korea
  • 9: United Kingdom
  • 10: United States
  • 11: Other Country - specify:

33.6 What was the primary mode of transportation used to [export/import] this product?

  • 1: Air
  • 2: Rail
  • 3: Truck
  • 4: Sea
  • 5: Other mode - specify :

33.7 How many times a year is this product [exported/imported]?

34. What is the unit of measure used to price this product?

6 1: Each - specify size or weight (if available):
7 2: Per box (e.g. 12 cases per box, 25 packages per case, 12 cartons per case, 144 units per carton) - specify number of items and size or weight (if available):
8 3: Bulk (e.g. kilogram, litre, metre) - specify size or weight (if available):
9 4: Other quantity - specify unit of measure and size or weight (if available):

35. Please report the price for the selected product on the date closest to the 15th of the month.

If not [exported/imported] in a month, please provide your best estimate of the price and select a reason for no price.

If possible, please report prices:

  • In Canadian dollars (CAN$)
  • Which include discounts and promotions
  • Which exclude freight, insurance, taxes and duties

Note: If you have already converted prices in foreign currencies to Canadian dollars, please select "Canadian Dollars" (CAN$).

  • Price
  • Currency
  • Reason for no price (if applicable)
    • Temporarily out-of-stock or Back-ordered
    • No sales or no purchases
    • Price data not available at this time
    • Other reason for not reporting the price

36. Specify the other currency provided in the following months.

37. Specify the other reason no price was provided in the following months.

38. Do the prices reported include or exclude the following?

a. Discounts
1: Include
3: Exclude
5: Not applicable

b. Promotions
1: Include
3: Exclude
5: Not applicable

c. Freight & Insurance

1: Include
3: Exclude
5: Not applicable

d. Taxes & Duties
1: Include
3: Exclude
5: Not applicable

39. Report the value of discounts that are not already included in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

40. Report the value of promotions that are not already included in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

41. Report the value of freight and insurance that are not already excluded in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

42. Report the value of taxes and duties that are not already excluded in the [exported/imported] price.

Report either the amount or the percentage. If unable to do so, select the main reason you cannot provide the value.

When precise figures are not available, provide your best estimates.

  • Amount
  • Percentage
  • Reason for no values (if applicable)
    • Unable to calculate
    • Do not have access to information
    • Unauthorized to provide information
    • Other reason

43. What were the reasons for the price change?

  • Material costs
  • Labour costs
  • Overhead costs
  • Exchange rate
  • Response to changes in demand
  • Response to competition
  • Change in customer
  • Change in supplier
  • Change in product
  • Response to changes in supply
  • Commodity markets
  • Different product options
  • Other reason

Contact Information and Feedback

44. Describe any changes or events that may have affected the reported information for this business compared to the last reporting period.?

45. Statistics Canada may need to contact the person who completed this questionnaire for further information. Is this person the best person to contact?

  • 1: Yes
  • 2: No

46. How long did it take to complete this questionnaire in hours and minutes?

47. Statistics Canada reviews all feedback. We invite your comments about this questionnaire.

Federal government expenditures on COVID-19 response measures - fourth quarter 2021

On March 11, 2020, the World Health Organization declared the COVID-19 pandemic. To address the consequences of the pandemic on the Canadian economy, the federal government of Canada announced and implemented various support and recovery measures for businesses, households, students, the vulnerable population and organizations helping individuals. The table Federal government expenditures on COVID-19 response measures presents the major federal measures announced and implemented, their treatment in the national accounts (in particular, in the Income and Expenditure Accounts), the table numbers where the pertinent series may be found and the amount of expenditure on a quarterly basis.

For a comprehensive explanations on the treatment of COVID-19 government support measures in the national accounts, please refer to the documents Recording COVID-19 measures in the national account and Recording new COVID measures in the national accounts.

Treatment in national accounts: Subsidies on production, by quarter at quarterly rates
COVID-19 measure 2020 2021
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter
$ millions
Canada Emergency Wage Subsidy (CEWS) - business 4,356 29,384 22,729 11,644 11,104 10,947 4,606 300
Temporary Wage Subsidy (TWS) - business 169 738            
Canada Emergency Rent Subsidy (CERS) - business     54 1,746 1,906 1,800 845 58
Lockdown Support (LS) - business     5 240 383 374 78 11
Canada Recovery Hiring Program (CRHP) - business           51 347 150
Source: Statistics Canada, tables 36-10-0103, 36-10-0118, 36-10-0477.
Treatment in national accounts: Current transfers to non-profit institutions serving households (NPISH), by quarter at quarterly rates
COVID-19 measure 2020 2021
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter
$ millions
Canada Emergency Wage Subsidy (CEWS) - NPISH 200 1,095 1,050 618 623 657 299 15
Temporary Wage Subsidy (TWS) - NPISH 13 46            
Canada Emergency Rent Subsidy (CERS) - NPISH     1 42 43 42 22 2
Lockdown Support (LS) - NPISH     0 5 7 7 2 0
Canada Recovery Hiring Program (CRHP) - NPISH           1 9 4
Source: Statistics Canada, tables 36-10-0118, 36-10-0477, 36-10-0115.
Treatment in national accounts: Subsidies on products and imports, by quarter at quarterly rates
COVID-19 measure 2020 2021
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter
$ millions
Canada Emergency Commercial Rent Assistance (CECRA)   1,130 904          
  • Federal contribution
   849 679          
  • Provincial contribution
   281 225          
Source: Statistics Canada, tables 36-10-0103, 36-10-0118, 36-10-0477.
Treatment in national accounts: Current transfers to households - Employment Insurance benefits, by quarter at quarterly rates
COVID-19 measure 2020 2021
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter
$ millions
Canada Emergency Response Benefit (CERB) - EI stream   19,127 9,239 864        
Source: Statistics Canada, tables 36-10-0118, 36-10-0477, 36-10-0112.
Treatment in national accounts: Transfers to households -Other federal transfers to households, by quarter at quarterly rates
COVID-19 measure 2020 2021
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter
$ millions
Canada Emergency Response Benefit (CERB) - CRA stream   29,002 15,597 704        
Canada Emergency Student Benefit (CESB)   1,386 1,550 8 2      
Canada Recovery Benefit (CRB)       6,073 8,344 6,516 5,091 2,362
Canada Recovery Caregiving Benefit (CRCB)       900 1,057 933 619 314
Canada Recovery Sickness Benefit (CRSB)       246 163 188 119 171
Source: Statistics Canada, tables 36-10-0118, 36-10-0477, 36-10-0112.

Monthly Survey of Food Services and Drinking Places: CVs for Total Sales by Geography – December 2021

Monthly Survey of Food Services and Drinking Places: CVs for Total Sales by Geography – November 2021
Table summary
This table displays the results of CVs for Total sales by Geography. The information is grouped by Geography (appearing as row headers), Month and percentage (appearing as column headers).
Geography Month
202012 202101 202102 202103 202104 202105 202106 202107 202108 202109 202110 202111 202112
percentage
Canada 0.25 0.20 0.19 0.47 1.44 1.59 1.32 3.40 0.43 0.18 0.20 0.20 0.33
Newfoundland and Labrador 0.48 1.08 0.48 2.16 2.05 2.53 0.46 0.60 0.54 0.57 0.67 0.72 1.56
Prince Edward Island 1.81 1.63 1.04 1.29 16.69 1.05 0.92 0.96 0.83 2.81 7.86 7.23 5.62
Nova Scotia 1.03 0.91 0.40 0.87 2.76 3.16 0.96 0.47 0.39 0.38 0.47 0.53 1.53
New Brunswick 0.49 0.98 0.50 0.39 1.08 1.75 0.46 0.57 0.47 0.59 0.63 0.75 2.31
Quebec 0.79 0.68 0.67 1.11 5.08 4.52 4.28 16.06 0.66 0.60 0.60 0.54 0.38
Ontario 0.45 0.34 0.24 0.99 2.56 2.99 2.64 1.24 0.88 0.24 0.28 0.33 0.66
Manitoba 0.78 0.89 0.46 0.45 1.21 2.59 0.67 0.81 0.43 0.44 0.77 0.85 0.88
Saskatchewan 0.75 0.91 0.52 0.46 1.22 0.88 0.61 10.59 0.96 0.81 1.56 1.36 2.07
Alberta 0.54 0.52 0.33 0.81 3.06 4.31 0.45 2.28 0.66 0.39 0.46 0.41 0.98
British Columbia 0.39 0.33 0.56 0.99 1.88 2.78 0.79 1.62 0.34 0.37 0.44 0.37 0.34
Yukon Territory 4.34 5.07 1.96 3.01 65.36 2.72 1.85 2.87 4.89 2.17 3.29 18.96 13.47
Northwest Territories 1.97 6.05 1.83 2.93 74.26 3.73 1.86 3.13 5.75 2.31 3.93 24.77 6.47
Nunavut 2.75 2.54 2.39 2.67 3.88 4.83 1.27 84.13 2.88 3.60 5.47 3.55 5.61

Census of Agriculture Toolkit

The Census of Agriculture provides community-level data on a wide range of topics, such as:

  • land use
  • crops
  • livestock
  • agricultural labour
  • machinery and equipment
  • land management practices
  • farm finances

It identifies trends and provides information on emerging issues, opportunities and challenges within the agricultural community. In the Census of Agriculture Toolkit, you will find tools and resources to help you and your organization share information about the upcoming data releases with your networks.

What's in the toolkit?

Products and resources that you can share with your online community.

Materials available include:

Social media content

Statistics Canada encourages our supporters to post our content and images to their own social media accounts. You can save the images to your device and copy and paste the text content to your social media platforms to share.

Post 1

A group of farmers are discussing in the field, using a tablet

The #CensusOfAgriculture: Community Profiles is Statistics Canada's new interactive tool which highlights the statistical profile of farm and farm operators for a specific geographic location or community. https://bit.ly/3zhUrW1 #CdnAg

Post 2

A farmer is using an electronic tablet in an agricultural field.

The 2021 #CensusOfAgriculture Mapping Tool is now available! This tool allows users to visualize data at all geographic levels. To learn more: https://bit.ly/3mop3NU #CdnAg

Post 3

Farmer with digital tablet in a wheat field

Canadian farmers have shown remarkable resilience these past few years. New data from the 2021 #CensusOfAgriculture provide new insights on farm and farm operator trends across Canada: https://bit.ly/3AQlQgq #CdnAg

Post 4

Farmer working on an agricultural farm

Statistics Canada released new data from the 2021 #CensusOfAgriculture. Learn about the adaptability of Canadian farm operators and data trends in the agriculture industry. https://bit.ly/3AQlQgq #CdnAg

Post 5

Rows of young peppers on a farm during a sunny day

New data from the 2021 #CensusOfAgriculture are now available! Discover Canada's farm count, farm types, sustainable farming practices and more. https://bit.ly/3AQlQgq #CdnAg

Web images

Census of Agriculture (horizontal banner) (JPG, 44.0 KB)
2021 Census of Agriculture data are here! - www.statcan.gc.ca/en/census-agriculture

Agriculture–Population Linkage data

Farm and farm operator data

2021 Provincial and Territorial Profiles

Terms of use

See the Census engagement toolkits - Terms of use for information on the approved use of official wordmarks, identifiers and content.

Applied Machine Learning for Text Analysis Community of Practice: 2021 in review

The Applied Machine Learning for Text Analysis Community of Practice (CoP) is an interdepartmental group of Government of Canada (GoC) employees who share and discuss high-quality machine learning (ML) solutions on text data. The group was formed in 2018 as a small group of data science practitioners at Statistics Canada and rapidly grew to become an interdepartmental CoP with representation from over 15 federal departments who meet virtually on a monthly basis.

The CoP's main goal is to increase ML capacity across multiple disciplines within the public service. Members do not need previous ML experience to attend these meetings and discussions are welcome from all disciplines and departments.

The CoP achieves its goal by:

  • collaborating via discussions on various aspects of ML on text data,
  • sharing presentations and other materials for text analysis,
  • providing updates on questions and issues encountered while applying machine learning on text data; and
  • establishing best practices based on various expertise across the government.

Throughout 2021, the CoP hosted thirteen presentations from various departments. Each presentation either illustrated a concrete ML solution on text data, or a use-case that required an ML text application to be developed.

Presentations in 2021

Below are descriptions of each presentation that took place in the past year. Please contact the Applied Machine Learning Text CoP if you'd like to access or obtain more information about the presentations: statcan.appliedmltextcop-cdpaaappliquetexte.statcan@statcan.gc.ca.

2021 Census Comment Classification at Statistics Canada

In an effort to improve comment analysis from the 2021 Census of Population, Statistics Canada's Data Science Division worked in collaboration with the Census Subject Matter Secretariat to create a proof-of-concept on the use of ML techniques to quickly and objectively classify census comments. In addition to classifying comments by subject matter area, the models also classified comments regarding technical issues and privacy concerns.

From Data to Insight: Using client feedback to inform innovation and make decisions at Immigration, Refugees & Citizenship Canada (IRCC)

The IRCC has collected client feedback about their services since 2014. The IRCC Client Experience Branch planned to launch a ML project to analyze the feedback in more detail. The analysis would help the department gain insight into their services, better align their innovation projects and inform their decision-making process. The presenter discussed with the CoP members about the appropriate approaches to demonstrate the added value of ML to senior management.

Data Analytics for Assurance and Advisory Services at Canada Revenue Agency (CRA)

The Data Analysis section within the CRA's Audit, Evaluation, and Risk Branch created a data museum in 2016. The data museum enabled:

  1. the delivery of descriptive and diagnostic data analytics for multiple assurance and advisory engagements,
  2. the use of ML for better pattern recognition, classification, and outlier detection, and
  3. the development of data privacy and protection standard operating procedures.

The Data Analysis section has seen first hand how natural language processing (NLP) methods and techniques are underused across the internal audit industry, and has taken the opportunity to apply NLP in various stages of the internal audit process. For example, NLP has helped internal audit teams to:

  1. analyze large volumes of unstructured textual data, such as interview notes, 400-page Government Accountability Office reports, and web pages when auto-generating risk summaries from the socio-economic environment,
  2. visualize risk interconnectivity,
  3. measure tons of reports using sentiment analysis, and
  4. leverage a natural language question and answer search engine.

Data Engineering with R, R Markdown, Shiny and Algorithms

This presentation provided an overview of the challenges and solutions related to data engineering and the domain that deals with the automation of data processing and analysis. The presenter discussed the taxonomy of data engineering tasks and the tools to address them, and also described the efforts to build the Data Engineering Toolkit and the Data Engineering Community of Practice. They also displayed the Shiny Apps for linking and deduplicating noisy data and the NLP analysis of the Open Canada database of Completed Access to Information Requests.

Dynamic Topic Modelling at Statistics Canada

This presentation gave a technical overview of the methodology behind topic modelling, explained the basis of Latent Dirichlet Allocation, and introduced a temporal dimension into the topic modelling analysis. This was done in the context of event detection using data from the Canadian Coroner and Medical Examiner Database.

Occurrence Analytics Using Situation Centre Structures (OASIS) at Transport Canada

The Emergency Preparedness Branch sends text notifications on occurrences (i.e. traffic accidents, etc.) affecting Canada's air, marine and surface transportation infrastructure, on a 24/7 basis to email subscribers. The presenter's team engineered bilingual notifications to produce analytical datasets in order to mine intelligence, enable text analytics, and detect patterns for similar occurring events.

Social Media Analytics in Real Time (SMART) at Transport Canada

This proof-of-concept web application mined social media data in real-time and provided geo-spatial insights and text analytics using NLP. The aim of the application was to help analysts determine to what extent safety and security occurrences could be extracted from social media. In addition, a sentiment-scoring component was added to enable sentiment analysis based on topics or organizational handles. While never operationalized, the proof-of-concept permitted rapid analysis for emerging issues for a subpopulation of social media users including individuals, news providers and national police.

Quantum Machine Learning for Text Classification by Statistics Canada, Institut quantique at Université de Sherbrooke and Bank of Canada

Quantum technologies are set to disrupt common tasks in ML, including text classification. The presenters provided a review of three approaches to quantum ML in the noisy intermediate scale quantum device age, with the goal of introducing these methods to existing researchers and data scientists in the field.

From Curing Cancer to Grabbing Gossip - Applied Natural Language Processing for Health Science at Public Health Agency of Canada (PHAC)

The presenter shared his brief journey through practical applications of NLP to problems in health sciences research. This included using rule-based NLP to extract drug-disease interactions from medical research abstracts, or using ML to analyze tweets about vaccinations to predict disease outbreaks. He also discussed his lessons learned and mistakes he made along the way.

Automating Population, Intervention, Control, Outcomes (PICO) Extraction from Systematic Reviews at Public Health Agency of Canada (PHAC)

PHAC (with Xtract AI in Vancouver, BC) was examining the automation of different stages of evidence synthesis to increase efficiencies. The presenter shared an overview of an initial version of a novel ML-based system that was powered by recent advances in NLP, such as BioBERT, with further optimizations completed using a new immunization-specific document database. The resulting optimized NLP model at the core of this system was able to identify and extract Population, Intervention, Control, Outcomes (PICO) and PICO-related fields from publications on immunization with 88% average accuracy, across five classes of text.

Building Data Visualization Dashboards using Open Source Python Frameworks at Statistics Canada

django Dash

Building dashboards have proven to be useful in the field of data science. With the current advancements in this field, there are emerging open source tools that are powerful, highly customizable and free to use. The presenter shared the python tools suitable for building dashboards, showed examples of relevant work the Data Science Division has done and presented a brief overview of how to get started with the two most popular tools – Dash and Django.

Automation of Information Extraction from Financial Statements in the  System for Electronic Document Analysis and Retrieval (SEDAR) using Spatial Layout based Techniques at Statistics Canada

SLICEmyPDF

Portable Document Format (PDF) documents are commonly used by companies for financial reporting. The absence of an effective way to extract data from unstructured PDF files into a tabular format caused significant challenges for financial analysts to efficiently analyze and process information in a timely manner. Spatial Layout based Information and Content Extraction (SLICE) is a unique computer vision algorithm that simultaneously uses textual, visual, and layout information to segment several data points into a tabular structure. This proposed solution significantly reduces the manual hours spent in identifying and capturing required information by automating the financial variable extraction process for close to 70 000 PDFs per year in near real-time. It also includes the development of a robust metadata management system that indexes close to 150 variables for each financial document as well as a web application that allows users to interact with the extracted data points. Check out the recent Data Science Network article on Document Intelligence: The art of PDF information extraction.

Innovation, Science and Economic Development Canada (ISED) Business Assistant Chatbot

Innovation, Science and Economic Development Canada's Business Assistant
Description - ISED's Business Assistant

ISED's Business Assistant. Text in image: Hello! I'm Business Assistant, Innovation Science and Economic Development Canada’s (ISED’s) new chatbot. I'm programmed to answer your questions about intellectual property and other ISED services. How can I help you?

In 2019, ISED began implementing a Virtual Assistant Technology with a product called a chatbot. Virtual Assistant is a communication channel Canadians can currently use when visiting ISED's webpages and mobile application. The Canadian Intellectual Property Office, Corporations Canada, Strategic Communication and Marketing Sector, and Canada Business App are using a web and mobile chatbot to help reduce calls to call centres and offer enhanced service when providing information to Canadians who visit their websites or applications. The current chatbot is built on a Microsoft architecture leveraging Microsoft Azure and Microsoft's Language Understanding AI, called LUIS. A similar presentation was held at the DSN's Chatbot Workshop, as the presenters explained the background and purpose of their Virtual Assistant technology. See Chatting About Chatbots: A review of the Chatbot Workshop.

Conclusion

Throughout 2021, presenters from various GoC departments shared their diverse applications of ML techniques on text data. We covered various stages of the data pipeline starting from preprocessing to visualization. By leveraging each other's experiences and lessons-learned, our members can build ML products more efficiently.

In 2022, the CoP will continue to be a hub for public servants to share their passion for applying ML techniques to answer concrete business problems. The CoP is led by Statistics Canada and benefits from active participation from all federal public service departments. Presentations are encouraged from all departments and we look forward to continuing to cover the fast growing number of NLP applications across departments.

For more information on the CoP, or if you are a GoC employee and you would like to join, please contact the Applied Machine Learning Text CoP: statcan.appliedmltextcop-cdpaaappliquetexte.statcan@statcan.gc.ca. GoC employees can also join our GCExchange group for the Applied ML for text analysis CoP.

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