Canadian Centre for Justice Statistics

Confidential when completed.

Information for Respondents

Authority

This survey is conducted under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Objective

This survey was designed to produce national statistics on public policing personnel and operating expenditures for Canada. The information collected is widely used by federal and provincial policy makers as well as municipal police service and municipal government personnel. The data are also widely disseminated by the media for the purposes of general public information. The information may also be used by Statistics Canada for other statistical and research purposes.

Confidentiality

Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business or organisation, unless consent has been given by the respondent or as permitted by the Statistics Act.

Information from this survey will be used for statistical purposes only.

Record linkages

To enhance data from this survey, Statistics Canada may combine it with information from other surveys or from administrative sources.

A.  Number of Police Officer Hirings/Departures within the year by Overall Years of Service as a Police Officer

(Select one) Calendar Year 2013, Fiscal Year 2013/2014

Hirings (By Overall Years of Service for each of the following categories: Experienced Police Officers, Recruit Graduates)

Overall Years of Service as a Police Officer

  • 1. Less than 5 years
  • 2. 5 to less than 10 years
  • 3. 10 to less than 15 years
  • 4. 15 to less than 20 years
  • 5. 20 to less than 25 years
  • 6. 25 to less than 30 years
  • 7. 30 to less than 35 years
  • 8. 35 years and over
  • 9. Information for years of service not available
  • 10. Total (sum lines 1 to 9)

Departures (By Overall Years of Service for each of the following categories: Retirements, Hired by other serviceNote1, Other)

Overall Years of Service as a Police Officer as a Police Officer

  • 1. Less than 5 years
  • 2. 5 to less than 10 years
  • 3. 10 to less than 15 years
  • 4. 15 to less than 20 years
  • 5. 20 to less than 25 years
  • 6. 25 to less than 30 years
  • 7. 30 to less than 35 years
  • 8. 35 years and over
  • 9. Information for years of service not available
  • 10. Total (sum lines 1 to 9)

Note

  1. If the number of officers who were hired by another police service upon departure is not available, please report all officers who left your police service for any reason other than retirement under the category Other. In the Comments section on the last page of the Main survey form, please indicate that you are unable to report officers hired by another police service.

Police Officers Eligible to Retire as of Calendar or Fiscal Year-End (By Overall Years of Service)

Overall Years of Service as a Police Officer

  • 1. Less than 5 years
  • 2. 5 to less than 10 years
  • 3. 10 to less than 15 years
  • 4. 15 to less than 20 years
  • 5. 20 to less than 25 years
  • 6. 25 to less than 30 years
  • 7. 30 to less than 35 years
  • 8. 35 years and over
  • 9. Information for years of service not available
  • 10. Total (sum lines 1 to 9)

B1. Number of Police Officers as of May 15th by Overall Years of Service as a Police Officer

Overall Years of Service as a Police Officer

  • 11. Less than 5 years
  • 12. 5 to less than 10 years
  • 13. 10 to less than 15 years
  • 14. 15 to less than 20 years
  • 15. 20 to less than 25 years
  • 16. 25 to less than 30 years
  • 17. 30 to less than 35 years
  • 18. 35 years and over
  • 19. Information not available
  • 20. Total (sum lines 11 to 19)*

* Note: The total number of police officers, which equals the total of both experienced police officers and recruit graduates, must be the same as the number you reported for Police Officer Total (line 4 of the Blue Form).

B2. Number of Police Officers as of May 15th by Age Group (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Age Group

  • 21. Less than 20 years
  • 22. 20 to less than 25 years
  • 23. 25 to less than 30 years
  • 24. 30 to less than 35 years
  • 25. 35 to less than 40 years
  • 26. 40 to less than 45 years
  • 27. 45 to less than 50 years
  • 28. 50 to less than 55 years
  • 29. 55 to less than 60 years
  • 30. 60 years and over
  • 31. Information not available
  • 32. Total (sum lines 21 to 31)*

C. Number of Police Officers as of May 15th by Highest Level of Education Completed at Time of Hiring (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Highest Level of Education Completed at Time of Hiring

  • 33. High school diploma
  • 34. College, CEGEP or other certificate or diploma
  • 35. University Undergraduate degree
  • 36. University Graduate degree (i.e. master’s degree, Ph.D)
  • 37. Other
  • 38. Information not available
  • 39. Total (sum lines 33 to 38)*

D. Number of Police Officers as of May 15th by Visible Minority and Aboriginal Populations (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Visible Minority Status

  • 40. Aboriginal Peoples (First Nations (North American Indian), Métis or Inuit)
  • 41. Visible Minority (persons other than Aboriginal persons who are non-Caucasian in race or non-white in colour)
  • 42. Not a Visible Minority or Aboriginal Person (Caucasian in race or white in colour, regardless of place of birth)
  • 43. Information not available
  • 44. Total (sum lines 40 to 43)

E. Number of Police Officers as of May 15th by Official Languages Spoken (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Official languages spoken

  • 45. English only
  • 46. French only
  • 47. Both English and French
  • 48. Information not available
  • 49. Total (sum lines 45 to 48)*

F. Number of Police Officers as of May 15th speaking Non-Official Languages (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Non-official languages spoken

  • 50. Speak non-official languages
  • 51. Do not speak non-official languages
  • 52. Information not available
  • 53. TOTAL (sum lines 50 to 52)

G. Number of Police Officers as of May 15th by Non-Official Languages Spoken (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Note: You can select multiple languages per officer in this table.

Non-official languages spoken

  • 54. Chinese languages
  • 55. Italian
  • 56. German
  • 57. Punjabi
  • 58. Spanish
  • 59. Arabic
  • 60. Tagalog
  • 61. Portuguese
  • 62. Other
  • 63. Information not available

Comments and/or Explanations

Instructions

For all tables please include:

  • Permanent full-time (works 37.5 hours per week or more) and part-time (works less than 37.5 hours per week) employees (police officer and recruits) on the personnel roster over the past calendar year.
  • Police officers who are paid from external agencies through full or partial cost-recovery agreements, (e.g. airport policing contracts).
  • Police officer personnel actively replacing, (or ‘backfilling’ the positions held by), police officers on long-term leave from the police service, and who are paid by the police service’s annual budget.

For all tables please exclude:

  • Contract or casual workers who are not employed on a permanent basis.
  • Police officers on long-term leave (educational, disability, ‘secondment-out’) who are not being paid by the police service’s annual budget.

*Convert permanent part-time employees to a full-time equivalent. For example, four permanent part-time workers who each work ten hours a week would be considered one full-time employee.

Table A – Number of Police Officer Hirings/Departures within the year by Overall Years of Service As a Police Officer

Overall Years of Service as a Police Officer: Please report the number of years of service as a police officer. Depending on your source for this information, ‘overall years of service’ may exclude prior years of policing experience. For example, many Human Resource Records Management Systems rely on the concept of pensionable years of service when reporting actual years of service. In some cases, systems may not carry over years of service an officer acquired during previous employment with a different police service. Additionally, not all systems distinguish between prior years of service as a civilian employee and prior years of service as a police officer. In both these cases, please report the number of years of service that is available in your system.
Note: Reasons other than the ones mentioned above may exist for why ‘overall years of service’ may exclude prior years of experience for police officers. However, in all cases, please report your data as accurately as possible within the limits of these constraints and exclusions and indicate the nature of and reason for these constraints in the comments.

If information on the years of service accumulated by officers who were hired by or departed your police service during the past calendar or fiscal year is unavailable, please provide the number of officers who were hired or who departed in both Line 9 (Information not available) and Line 10 (Total).

Experienced Police Officers include: Senior Officers, Non-Commissioned Officers and Constables who achieved the status of a fully-sworn police officer prior to the previous calendar year or fiscal year.

Recruit Graduates include: Paid personnel who successfully graduated from a training program during the previous calendar year or fiscal year and have achieved the status of fully-sworn police officer.
Note: This category excludes personnel currently engaged in training programs intended to enable them to achieve the status of fully-sworn officer, but who have not yet achieved that status.

Hirings/Departures: Number of Police Officers who were either hired by your police service or who departed from your police service in the previous calendar year or fiscal year.

Retirements: Number of police officers who retired in the previous calendar year or fiscal year based on age and/or years of service.

Eligible to retire: Number of police officers who were eligible to retire with a full pension as of your previous year’s calendar or fiscal year-end, based on age and/or years of service. Do not include police officers who did retire within the calendar or fiscal year.

Calendar year: Refers to January 1 to December 31 of the previous year.

Table B – Number of Police Officers as of May 15th by Overall Years of Service As a Police Officer and Age Group

Overall Years of Service as a Police Officer: Please report the number of years of service as a police officer. Depending on your source for this information, ‘overall years of service’ may exclude prior years of policing experience. For example, many Human Resource Records Management Systems rely on the concept of pensionable years of service when reporting actual years of service. In some cases, systems may not carry over years of service an officer acquired during previous employment with a different police service. Additionally, not all systems distinguish between prior years of service as a civilian employee and prior years of service as a police officer. In both these cases, please report the number of years of service that is available in your system.
Note: Reasons other than the ones mentioned above may exist for why ‘overall years of service’ may exclude prior years of experience for police officers. However, in all cases, please report your data as accurately as possible within the limits of these constraints and exclusions and indicate the nature of and reason for these constraints in the comments.

Total Police officers include: Senior Officers, Non- Commissioned Officers and Constables.

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table B refers to Total Police Officers, Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date, whereas Table A refers to counts based on the previous calendar year or fiscal year.

Table C – Number of Police Officers as of May 15th by Highest Level of Education Completed at Time of Hiring

Highest Level of Education Completed at Time of Hiring: Educational attainment at time of hiring as of the May 15th snapshot date. Please include the highest level of education completed. For example, if only one year of undergraduate education was completed, the highest level of education completed in its entirety would be either “High school diploma” or “College, CEGEP or other non-university certificate or diploma.”

Please do not provide information on the most recent level of education completed (such as in the case of a police officer obtaining a university undergraduate degree during the course of their career as a police officer). If information about highest level of education completed at time of hiring is unknown, please indicate “Information not available.”

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table C refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Table D – Number of Police Officers as of May 15th by Visible Minority and Aboriginal Populations

Aboriginal Peoples: Refers to whether the police officer is an Aboriginal person of Canada, that is, First Nations (North American Indian), Métis or Inuit.

Visible Minority: Refers to the visible minority group to which the respondent belongs. The Employment Equity Act defines visible minorities as ‘persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour’.

Not a Visible Minority: Refers to persons who are Caucasian in race or white in colour, regardless of place of birth.

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table D refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Table E – Number of Police Officers as of May 15th by Official Languages Spoken

Official Languages Spoken: Number of police officers who were able to speak with the public in the official languages listed

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table E refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Table F - Number of Police Officers as of May 15th speaking Non-Official Languages

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table F refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Table G - Number of Police Officers as of May 15th by Non-Official Languages Spoken

Non-official Languages Spoken: Number of police officers who were able to speak with the public in the non-official languages listed.

Note: More than one non-official language can be indicated for each officer.

Chinese languages includes: Mandarin, Cantonese, Hakka, Taiwanese, Chaochow (Teochow), Fukien and Shanghainese, as well as a residual category (Chinese languages not otherwise specified).

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table G refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Canadian Centre for Justice Statistics

Confidential when completed.

A.  Number of Police Officer Hirings/Departures within the year by Overall Years of Service

(Select one) Calendar Year 2012, Fiscal Year 2012/2013

Hirings (By Overall Years of Service for each of the following categories: Experienced Police Officers, Recruit Graduates)

Overall Years of Service

  • 1. Less than 5 years
  • 2. 5 to less than 10 years
  • 3. 10 to less than 15 years
  • 4. 15 to less than 20 years
  • 5. 20 to less than 25 years
  • 6. 25 to less than 30 years
  • 7. 30 to less than 35 years
  • 8. 35 years and over
  • 9. Information for years of service not available
  • 10. Total (sum lines 1 to 9)

Departures (By Overall Years of Service for each of the following categories: Retirements, Hired by other serviceNote1, Other)

Overall Years of Service

  • 1. Less than 5 years
  • 2. 5 to less than 10 years
  • 3. 10 to less than 15 years
  • 4. 15 to less than 20 years
  • 5. 20 to less than 25 years
  • 6. 25 to less than 30 years
  • 7. 30 to less than 35 years
  • 8. 35 years and over
  • 9. Information for years of service not available
  • 10. Total (sum lines 1 to 9)

Note

  1. If the number of officers who were hired by another police service upon departure is not available, please report all officers who left your police service for any reason other than retirement under the category Other. In the Comments section on the last page of the Main survey form, please indicate that you are unable to report officers hired by another police service.

Police Officers Eligible to Retire as of Calendar of Fiscal Year-End (By Overall Years of Service)

Overall Years of Service

  • 1. Less than 5 years
  • 2. 5 to less than 10 years
  • 3. 10 to less than 15 years
  • 4. 15 to less than 20 years
  • 5. 20 to less than 25 years
  • 6. 25 to less than 30 years
  • 7. 30 to less than 35 years
  • 8. 35 years and over
  • 9. Information for years of service not available
  • 10. Total (sum lines 1 to 9)

B1. Number of Police Officers as of May 15th by Overall Years of Service

Overall Years of Service

  • 11. Less than 5 years
  • 12. 5 to less than 10 years
  • 13. 10 to less than 15 years
  • 14. 15 to less than 20 years
  • 15. 20 to less than 25 years
  • 16. 25 to less than 30 years
  • 17. 30 to less than 35 years
  • 18. 35 years and over
  • 19. Information not available
  • 20. Total (sum lines 11 to 19)*

* Note: This number must be the same as the number you reported for Police Officer Total (line 4 of the Blue Form).

B2. Number of Police Officers as of May 15th by Age Group (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Age Group

  • 21. Less than 20 years
  • 22. 20 to less than 25 years
  • 23. 25 to less than 30 years
  • 24. 30 to less than 35 years
  • 25. 35 to less than 40 years
  • 26. 40 to less than 45 years
  • 27. 45 to less than 50 years
  • 28. 50 to less than 55 years
  • 29. 55 to less than 60 years
  • 30. 60 years and over
  • 31. Information not available
  • 32. Total (sum lines 21 to 31)

C. Number of Police Officers as of May 15th by Highest Level of Education Completed at Time of Hiring (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Education Level

  • 33. High school diploma
  • 34. College, CEGEP or other certificate or diploma
  • 35. University Undergraduate degree
  • 36. University Graduate degree (i.e. master’s degree, Ph.D)
  • 37. Other
  • 38. Information not available
  • 39. Total (sum lines 33 to 38)

D. Number of Police Officers as of May 15th by Visible Minority and Aboriginal Populations (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Visible Minority Status

  • 40. Aboriginal Peoples (First Nations (North American Indian), Métis or Inuit)
  • 41. Visible Minority (persons other than Aboriginal persons who are non-Caucasian in race or non-white in colour)
  • 42. Not a Visible Minority or Aboriginal Person (Caucasian in race or white in colour, regardless of place of birth)
  • 43. Information not available
  • 44. Total (sum lines 40 to 43)

E. Number of Police Officers as of May 15th by Official and Non-Official Languages Spoken (For each of the following categories: Experienced Police Officers, Recruit Graduates)

Language Spoken

Official languages

  • 45. English only
  • 46. French only
  • 47. Both English and French
  • 48. Information not available
  • 49. Total (sum lines 45 to 48)

Non-official languages

Note: Among all police officers reported (line 49), what additional non-official languages were spoken?
You can select multiple languages per officer in this table.

  • Chinese languages
  • Italian
  • German
  • Punjabi
  • Spanish
  • Arabic
  • Tagalog
  • Portuguese
  • Other
  • Information not available

Comments and/or Explanations

Instructions

For all tables please include:

  • Permanent full-time (works 37.5 hours per week or more) and part-time (works less than 37.5 hours per week) employees (police officer and recruits) on the personnel roster over the past calendar year.
  • Police officers who are paid from external agencies through full or partial cost-recovery agreements, (e.g. airport policing contracts).
  • Police officer personnel actively replacing, (or ‘backfilling’ the positions held by), police officers on long-term leave from the police service, and who are paid by the police service’s annual budget.

For all tables please exclude:

  • Contract or casual workers who are not employed on a permanent basis.
  • Police officers on long-term leave (educational, disability, ‘secondment-out’) who are not being paid by the police service’s annual budget.

*Convert permanent part-time employees to a full-time equivalent. For example, four permanent part-time workers who each work ten hours a week would be considered one full-time employee.

Table A – Number of Police Officer Hirings/Departures within the year by Overall Years of Service

Overall Years of Service: Please report the number of years of service as a police officer. Depending on your source for this information, ‘overall years of service’ may exclude prior years of policing experience. For example, many Human Resource Records Management Systems rely on the concept of pensionable years of service when reporting actual years of service. In some cases, systems may not carry over years of service an officer acquired during previous employment with a different police service. Additionally, not all systems distinguish between prior years of service as a civilian employee and prior years of service as a police officer. In both these cases, please report the number of years of service that is available in your system.
Note: Reasons other than the ones mentioned above may exist for why ‘overall years of service’ may exclude prior years of experience for police officers. However, in all cases, please report your data as accurately as possible within the limits of these constraints and exclusions.

If information on the years of service accumulated by officers who were hired by or departed your police service during the past calendar or fiscal year is unavailable, please provide the number of officers who were hired or who departed in both Line 9 (Information not available) and Line 10 (Total).

Experienced Police Officers include: Senior Officers, Non-Commissioned Officers and Constables who achieved the status of a fully-sworn police officer prior to the previous calendar year or fiscal year.

Recruit Graduates include: Paid personnel who successfully graduated from a training program during the previous calendar year or fiscal year and have achieved the status of fully-sworn police officer.
Note: This category excludes personnel currently engaged in training programs intended to enable them to achieve the status of fully-sworn officer, but who have not yet achieved that status.

Hirings/Departures: Number of Police Officers who were either hired by your police service or who departed from your police service in the previous calendar year or fiscal year.

Retirements: Number of police officers who retired in the previous calendar year or fiscal year based on age and/or years of service.

Eligible to retire: Number of police officers who were eligible to retire with a full pension as of your previous year’s calendar or fiscal year-end, based on age and/or years of service. Do not include police officers who did retire within the calendar or fiscal year.

Calendar year: Refers to January 1 to December 31 of the previous year.

Table B – Number of Police Officers as of May 15th by Overall Years of Service and Age Group

Total Police officers include: Senior Officers, Non- Commissioned Officers and Constables.

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table B refers to Total Police Officers, Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date, whereas Table A refers to counts based on the previous calendar year or fiscal year.

Table C – Number of Police Officers as of May 15th by Highest Level of Education Completed at Time of Hiring

Education level: Educational attainment at time of hiring as of the May 15th snapshot date.

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table C refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Table D – Number of Police Officers as of May 15th by Visible Minority and Aboriginal Populations

Aboriginal Peoples: Refers to whether the police officer is an Aboriginal person of Canada, that is, First Nations (North American Indian), Métis or Inuit.

Visible Minority: Refers to the visible minority group to which the respondent belongs. The Employment Equity Act defines visible minorities as ‘persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour’.

Not a Visible Minority: Refers to persons who are Caucasian in race or white in colour, regardless of place of birth.

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table D refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Table E – Number of Police Officers as of May 15th by Official and Non-Official Languages Spoken

Languages Spoken: Number of police officers who were able to speak with the public in the languages listed
Note: More than one non-official language can be indicated for each officer.

Chinese languages includes: Mandarin, Cantonese, Hakka, Taiwanese, Chaochow (Teochow), Fukien and Shanghainese, as well as a residual category (Chinese languages not otherwise specified).

Note: Please follow instructions for Table A regarding definitions for Experienced Police Officers and Recruit Graduates. Table E refers to Experienced Police Officers and Recruit Graduates as of the May 15th snapshot date whereas Table A refers to counts based on the previous calendar year or fiscal year.

Please report data even if this information is provided by police officers on a voluntary basis.

Notes on Trade of Arms and Ammunition

Context

Statistics relating to the export of military goods and technology, including conventional arms and ammunition, can be found in the "Report on Exports of Military Goods from Canada" published by the Department of Foreign Affairs, Trade and Development. This information is based on the export of military goods and technology as identified in the Munitions List (Group 2) of Canada’s Export Control List, which reflect (i) commitments made in the multilateral Wassenaar Arrangement on Export Controls for Conventional Arms and Dual-Use Goods and Technologies, (ii) and commitments made in the Organization of American States, as well as (iii) certain additional unilateral controls implemented by Canada. Canada’s export control regime, including the Export Control List, is established and administered under the authority of Canada's Export and Import Permits Act.

Export statistics

Supplementary information relating to the export of arms and ammunitions can be found on other government sites such as Industry Canada's "Trade Data On-Line" and Statistics Canada’s "Canadian International Merchandise Trade Database". These data are compiled based on categories of items negotiated at the World Customs Organization for the purpose of applying global customs tariff codes, though each product is assigned a specific classification code. The Harmonized System (HS) codes support the compilation and uses of trade statistics.

The statistics in Chapter 93 "Arms and ammunition; parts and accessories thereof" defined by the HS do not completely align with information for the export of conventional arms and ammunition as defined in the Export and Import Permits Act. As a result, the "Arms and Ammunitions" category of items negotiated via the World Customs Organization does not in most cases reflect what is generally understood as conventional arms and ammunition. For example, goods such as flare guns used in oil and gas drilling, ammunition to frighten birds at airports, etc. may be listed under the "Arms and Ammunition" coding.

Other sources of information outside of Statistics Canada

The Canadian Commercial Corporation also generates their own export data based on contracts between Canadian suppliers and military end-users. Again, these statistics may include items which are not strictly military in nature, such as storage containers.

Social Policy Simulation Database and Model (SPSD/M) training

The Social Policy Simulation Database and Model (SPSD/M) is a microsimulation tool specifically designed for analyzing the tax and transfer system in Canada. It is a complex multidisciplinary analytical tool which, while easily used, requires significant experience to master. Statistics Canada is committed to working with licensees of the SPSD/M in order to help them get the maximum benefit from the model and to do so in a flexible way that is most beneficial to individual client's research and personnel needs. The SPSD/M training will assist those interested in analyzing financial interactions of federal/provincial governments and individuals in Canada. To this end we have two training options to help develop the knowledge and skills to effectively employ the model and provide advice on how to best apply the SPSD/M to approach your policy research questions.

Target participants

Individuals who are interested in using microsimulation to analyze Canadian tax and transfer policies. Participants should have some understanding of the Canadian tax and transfer system.

This tool is specifically designed for analyzing the tax and transfer policies in Canada and can't be used to analyze policies for other countries. Please contact us directly if you have questions.

Training seminars

These courses are offered in English and French twice per year. A minimum number of participants is required to hold a course (courses will be cancelled if there is not enough registrations less than 10 working days prior to the date of the course). This training can also be given at a client's site if suitable facilities are available.

To register, simply send an e-mail message to spsdm@statcan.gc.ca
(Please note that, generally, our seminars are offered in the spring and fall of each year.)

Course descriptions

The next scheduled courses

SPSD/M Black Box Training (English)

Course description for Black Box Training

Language:

English

Dates:

Course duration is 4 days: April 25 2025 (1pm-4pm EST), April 28 2025 (10:30am-4pm EST), April 29 2025 (10:30am-4pm EST), May 2 2025 (10:30am-4pm EST)

Location:

MS Teams

Course cost:

$800.00 + HST

SPSD/M Black Box Training (French)

Course description for Black Box Training

Language:

French

Dates:

Course duration is 4 days: March 11 2025 (1pm-4pm EST), March 12 2025 (10:30am-4pm EST), March 13 2025 (10:30am-4pm EST), March 20 2025 (10:30am-4pm EST)

Location:

MS Teams

Course cost:

$800.00 + HST

SPSD/M Glass Box Training (English)

Course description for Glass Box Training

Language:

English

Dates:

Course duration is 8 days: November 12 2024 (1pm-4pm EST), November 14 2024 (1pm-4pm EST), November 19 2024 (1pm-4pm EST), November 21 2024 (1pm-4pm EST), November 26 2024 (1pm-4pm EST), November 28 2024 (1pm-4pm EST), December 3 2024 (1pm-4pm EST), December 5 2024 (1pm-4pm EST).

Location:

MS Teams

Course cost:

$1600 + HST

Prerequisites:

Persons planning on attending the seminar should already be familiar with the use of the SPSD/M in Black box mode. They should know how to create new user variables and custom tables at various family levels.

SPSD/M Glass Box Training (French)

Course description for Glass Box Training

Language:

French

Dates:

TBD

Location:

MS Teams

Course cost:

$1600 + HST 

Prerequisites:

Persons planning on attending the seminar should already be familiar with the use of the SPSD/M in Black box mode. They should know how to create new user variables and custom tables at various family levels.

In-house training

If an organization or individual has either a special project they wish to use the model for, or a specific advanced aspect of model use they wish to master (i.e. stochastic imputation) arrangements can be made for one-on-one training. In most of these cases an analyst works with our microsimulation team in Ottawa. The access to a group of microsimulation and quantitative policy analysis oriented professionals is an added benefit of this type of training. It is also possible for a Statistics Canada microsimulation analyst to visit a client's site.

Update of the National Occupational Classification (NOC) 2011

July 30, 2013 (Previous notice)

The National Occupational Classification (NOC) is currently being updated. The updated NOC will be available in 2016.

At this time, Statistics Canada is soliciting input from data producers and data users to ensure their needs continue to be met by NOC, and from individuals, user groups, industry representatives and occupational experts to ensure that the descriptive information contained in the NOC remains current. Proposals for changes to NOC should be submitted to standards-normes@statcan.gc.ca. Guidelines for submissions are presented below to assist you in providing your input.

Input is requested by January 15, 2014 but will be accepted until June 30, 2014. Decisions on proposed updates will be made between April 2014 and April 2015, jointly with Employment and Social Development Canada. To enable us to fully consider your suggestions in time for inclusion in this update, please send them early in the consultation period. You may send more than one submission, if that enables you to comment earlier.

Guidelines

This is an update of the classification only. It is not a revision. Accordingly, no new unit groups will be added; no unit groups will be moved within the classification; no unit groups will be merged and no content will be moved between unit groups.

Updates that will be considered include:

  • Suggestions of new job titles to be added. When making such proposals, please suggest to which existing NOC unit group the title should be added. Please also include any information available concerning the duties/tasks performed by persons with that job title and the education, training or other qualifications they may need.
  • Proposals for updating occupational unit group definitions.
  • Proposed updates to the Main duties listed for a particular occupational unit group. These may, for example, be new or changed duties arising from technological change or from change in the scope of activities performed in the occupation.
  • Proposed updates to the Employment Requirements for a particular occupational unit group. Please include any available supporting information, such as information on new training programs.
  • Proposed updates to the Additional information section of a particular occupational unit group.

Proposals should include supporting information on the rationale for the change suggested.
Submissions may be in either official language. They should contain contact information to allow follow up with the submitter to obtain further information or clarification, if required.

NOC 2011 may be viewed on the Statistics Canada website at:  National Occupational Classification (NOC) 2011 or on the website of Employment and Social Development Canada at: National Occupational Classification 2011.

Criteria for updates to NOC content

Please consider the following criteria when preparing your input to the update of the National Occupational Classification.

Proposed changes should:

  1. Be consistent with classification principles of mutual exclusivity, exhaustiveness, and homogeneity within unit groups.
  2. Be relevant, that is, the updates must be of analytical interest, result in enhanced data useful to users and be based on appropriate statistical research or subject matter expertise.

Notice of information sharing

All consultation input received will be shared with Employment and Social Development Canada with whom Statistics Canada will be working jointly on the update of the National Occupational Classification for 2016.

Industry classifications

The industry classifications include the North American Industry Classification System (NAICS) Canada and the Standard Industrial Classification (SIC). Some of the industry classifications from other countries are listed under "Other".

Canada

North American Industry Classification System (NAICS) Canada

Standard Industrial Classification (SIC)

Other

Trilateral website for the North American Industry Classification System (NAICS)

    North American Industry Classification System (NAICS) United States

    Sistema de Clasificación Industrial de América del Norte (SCIAN) México

    Statistical classification of economic activities in the European Community (NACE)

    United Nations Statistics Division (UNSD)

    Data quality, concepts and methodology: Construction union wage rates and indexes

    (Table 327-0045: 2007=100 Wage Rate Indexes monthly 1971 to present; Table 327-0003: Wage Rates monthly 1971 to present)

    Introduction

    These series measure changes over time in the current collective agreement rates for 16 trades engaged in building construction in 22 metropolitan areas. Union wage rates by trade are also published for 22 metropolitan areas for both the basic rates and rates including selected supplementary payments. Indexes are provided for those cities where a majority of trades are covered by current collective agreements.

    Characteristics

    General

    Two rates are indexed: basic rates, indicating the straight time hourly compensation; and basic rates including supplements, such as vacation pay, statutory holiday pay and employers’ contribution to pension plans, health and welfare plans, industry promotion and training funds.

    Prices used

    Wage rates used for these indexes are derived mainly from those published by the various construction labour relations associations across the provinces. Summaries of the signed agreements are provided to Statistics Canada.

    Adjustments to prices

    None. Rates used are those published in the collective agreements.

    Weight base

    The weights used for the 2007 based indexes were derived from the 2006 census data. As before, a fixed- basket Laspeyres index formula is used for the 2007 based indexes.

    Index formula

    Price indexes are base-weighted.

    Revisions

    Wage rates and indexes are subject to revisions for 30 months.

    Historical data

    Details on rates (1971 onwards) and indexes (1971 onwards) for individual trades are available monthly on CANSIM. For the 1981=100, 1986=100 and 1992=100 series, composite indexes by major trade group and region are also generated and stored on CANSIM. The databank numbers are available in the CANSIM directory or on request.

    Reference documents and further reading

    CANSIM Tables 281-0023 to 281-0049
    Employment, earnings and hours

    For more information, or to enquire about the concepts, methods or data quality of this release, contact us (toll-free 1-800-263-1136; infostats@statcan.gc.ca) or Media Relations (613-951-4636; statcan.mediahotline-ligneinfomedias.statcan@statcan.gc.ca).

    Table 1 Concordance of numbers for selected index series

    Table summary
    This table displays the results of Concordance of numbers for selected index series. The information is grouped by CANSIM Vector # for old table 327-0004 (appearing as row headers), CANSIM Vector # for new table 327-0045 (appearing as column headers).
    CANSIM Vector # for old table 327-0004 CANSIM Vector # for new table 327-0045
    v734336 v52012895
    v734338 v52012897
    v734339 v52012898
    v734340 v52012899
    v734342 v52012901
    v734343 v52012902
    v734344 v52012903
    v734346 v52012905
    v734347 v52012906
    v734348 v52012907
    v734349 v52012908
    v734350 v52012909
    v734351 v52012910
    v734352 v52012911
    v734353 v52012912
    v734354 v52012913
    v734356 v52012915
    no concordance v52012916
    no concordance v52012917
    v734357 v52012918
    v734358 v52012919
    v734360 v52012921
    v734361 v52012922
    v734362 v52012923
    v734364 v52012925
    v734365 v52012926
    v734366 v52012927
    v734368 v52012929
    v734369 v52012930
    v734370 v52012931
    v734372 v52012933
    v734373 v52012934
    v734374 v52012935
    v734375 v52012936
    v734376 v52012937
    v734377 v52012938
    v734378 v52012939
    v734379 v52012940
    v734380 v52012941
    v734382 v52012943
    no concordance v52012944
    no concordance v52012945
    v734383 v52012946
    v734384 v52012947
    v734386 v52012949
    v734387 v52012950

    Audit of Internal Controls over Data-Sharing Agreements

    Audit Report

    November 14, 2013
    Project Number: 80590-80

    Executive Summary

    Data-sharing agreements (DSAs) under sections 11 and 12 of the Statistics Act have become a key business process. These agreements now number approximately 500, cover nearly all of the business surveys and a majority of household surveys, and enjoy certain exceptions regarding the release of confidential respondent information. The accumulation of DSAs is a reflection of the need for cooperation between Canadian organizations in the collection, compilation and publication of the statistical information. In recent years, data-sharing has become a growing and increasingly complex area to manage and ensuring confidentiality protection of shared data, a key value of Citizen-Focused Service, Public Service Values and Stewardship at Statistics Canada, is a challenge.

    The objectives of this audit were to provide the Chief Statistician (CS) and the Departmental Audit Committee (DAC) with assurance that:

    • The Agency has an adequate and effective management control framework in place to ensure DSA management processes are consistently designed, fully implemented, and ongoing monitoring of DSAs is carried out; and
    • The Agency's Data Sharing Agreements are internally managed to comply with relevant TBS policies, Statistics Canada policies, and legislative requirements.

    The audit was conducted by Internal Audit Division in accordance with the Government of Canada's Policy on Internal Audit.

    Key Findings

    Roles and responsibilities for key stakeholders with respect to the development; implementation, management and monitoring of data-sharing agreements have been formally defined. Clarifying the governance over the electronic file transmission (e-FT) service would ensure a consistent service model and provide support to statistical programs.

    The suite of policy instruments related to the governance and application of DSAs are not cross-referenced and do not indicate which policy overrides the other when they overlap. This has resulted in confusion and inefficient application of requirements across divisions.

    Within some statistical programs, segregation of duties between data preparation and approval prior to transmission of information is not in place. Requirements in the Directive on Data Sharing under Sections 11 and 12 (the Directive) with respect to the status of DSAs, sharing of information, monitoring and ongoing review are not followed and an inventory of all valid DSAs under sections 11 and 12 signed by Statistics Canada at a given point in time was not available.

    Practices for the management of data-sharing agreements are in place and overall, statistical programs are compliant with the relevant TBS and Statistics Canada policies, and legislative requirements.

    Electronic transmission of information under DSAs is in place and effectively protects and safeguards Statistics Canada's confidential information. Information transmitted by portable storage devices did not always have the appropriate security in place for secure transmittal.

    Overall Conclusion

    Improving the policy framework for the management of DSAs will help with consistent understanding and efficient application of requirements across divisions. Additionally, implementing the requirements of the Directive will ensure sound management and protection of confidential information. Efficiencies can be gained by strengthening some of the elements of the management control framework, such as: clarifying the governance for the e-FT service to ensure a consistent service model and provide support to statistical programs; and enforcing segregation of duties between data preparation and approval of data prior to transmissions to ensure that confidentiality of information is protected in the delivery of services.

    The Agency has deployed significant effort and attention to the management of DSAs over the past two years. As a result, the audit found that practices for the management of data-sharing agreements are in place and overall, statistical programs are compliant with the relevant TBS and Statistics Canada policies, and legislative requirements. Through audit testing, no breaches of privacy were observed. However, because the impact of any security breach would be high, security practices for transmission by portable storage devices should be clarified and enforced.

    Conformance with Professional Standards

    The audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors (IIA) Internal Standards for the Professional Practice of Internal Auditing.

    Patrice Prud'homme
    Chief Audit Executive

    Introduction

    Background

    An important aspect of Statistics Canada's mandate is to work with other government departments - federal, provincial or municipal – and legal entities in the collection, compilation and publishing of statistical information. In working with these organizations Statistics Canada addresses another aspect of its mandate: to promote the reduction in the duplication of efforts in collecting statistical information. Data- sharing is a means to achieving this objective. Data-sharing is formalized in a written agreement between the two organizations.

    The Statistics Act allows for two different types of data-sharing agreements (DSAs):

    • s.11 DSAs: permits data-sharing with provincial/territorial statistical offices that are subject to legislation similar to the federal Statistics Act which provides the authority to collect information for statistical purposes and to compel response from respondents and to request mandatory data-sharing; it stipulates legal requirements to ensure confidentiality protection of the respondent information and to notify respondents of the planned data-sharing;

      s.12 DSAs: permits data-sharing with other federal government departments, non-statistical provincial government departments, municipal corporations and the statistical agencies in Prince Edward Island, the Northwest Territories and Nunavut and other legal entities, which either have (according to their own legislation) or do not have the legal authority to compel response and to request mandatory versus voluntary data-sharing. In fact, Statistics Canada can enter into a section 12 agreement with any organization that is a legal entity. Therefore it cannot have a sharing agreement with an individual researcher, but could have one with a university. Section 12 DSAs stipulate legal requirements to ensure confidentiality protection of the respondent information, to notify respondents of the planned data-sharing, and, in case of the voluntary data-sharing, to inform respondents about their right to object to data-sharing.

    DSAs have become a key business process. These agreements now number approximately 500 and most are classified as providing for voluntary data-sharing. These fall under s.12 DSAs where respondents have the right to refuse to share the information. The remainder of the agreements are split between the mandatory data-sharing under s.11 provincial/territorial DSAs and mandatory data-sharing under so-called s.12+ DSAs. Data-sharing agreements cover nearly all of the business surveys and a majority of household surveys at Statistics Canada. The accumulation of DSAs is a reflection of the need for cooperation between Canadian organizations in the collection, compilation and publication of the statistical information.

    In recent years, data-sharing has become a growing and increasingly complex area to manage. Ensuring confidentiality protection of shared data, a key value of Citizen-Focused Service, Public Service Values and Stewardship at Statistics Canada, is an ongoing challenge. DSAs are covered by a multi-party management framework, characterized by a distributed management under various responsibility arrangements between the units of Statistics Canada and DSA partners.

    Audit Objectives

    The objectives of the audit were to provide the Chief Statistician (CS) and the Departmental Audit Committee (DAC) with assurance that:

    • The Agency has an adequate and effective management control framework in place to ensure DSA management processes are consistently designed, fully implemented, and on-going monitoring of DSAs is carried out; and
    • The Agency's Data-Sharing Agreements are internally managed to comply with relevant TBS policies, Statistics Canada policies, and legislative requirements.

    Scope

    The scope of this audit included an examination of the adequacy and effectiveness of the controls over the management and handling of DSAs. Specific areas examined included: operational processes and controls that enable consistent application of a common business process, as well as the tools, training and information management practices that support clear accountability and compliance to applicable policies and procedures.

    The scope of the audit included the Business Statistics (Field 5) and Social, Health and Labour Statistics (Field 8) of the Agency and examined a sample of DSA files for which data sets were shared in fiscal years 2011-12 and 2012-13.

    Approach and Methodology

    The audit work consisted of examination of documents, interviews with key Senior Management and personnel, and a review of compliance with relevant policies and guidelines. (See appendix A: Audit Criteria for details.)

    The field work included a review, assessment, and testing of the processes and procedures in place to ensure that operational processes and controls are consistently applied; and tools, training and information management practices support clear accountability and compliance to applicable policies and procedures. A random and judgmental sample of 42 DSA data files (see appendix B: Sample Selection) were selected and tested for compliance with the DSA and the survey template; compliance with the Policy on Official Release; transmission and data protection; and transmission only to a designated official contact.

    This audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors (IIA) International Standards for the Professional Practice of Internal Auditing.

    Authority

    The audit was conducted under the authority of the approved Statistics Canada integrated Risk-Based Audit and Evaluation Plan 2013/14 to 2017/18.

    Findings, Recommendations and Management Response

    Objective 1: The Agency has an adequate and effective management control framework in place to ensure DSA management processes are consistently designed, fully implemented, and on-going monitoring of DSAs is carried out.

    Governance

    Roles and responsibilities for key stakeholders with respect to the development; implementation, management and monitoring of data-sharing agreements have been formally defined. Clarifying the governance over the electronic file transmission (e-FT) service would ensure a consistent service model and provide support to statistical programs.

    The suite of policy instruments related to the governance and application of DSAs are not cross-referenced and do not indicate which policy overrides the other when they overlap. This has resulted in confusion and inefficient application of requirements across divisions.

    Within some statistical programs, segregation of duties between data preparation and approval prior to transmission of information is not in place. Requirements in the Directive on Data Sharing under Sections 11 and 12 (the Directive) with respect to the status of DSAs, sharing of information, monitoring and ongoing review are not followed and an inventory of all valid DSAs under sections 11 and 12 signed by Statistics Canada at a given point in time was not available.

    Data-sharing agreements are covered by a multi-party management framework, characterized by a distributed management under various responsibility arrangements between the units of Statistics Canada and the DSA partners. Oversight, clear delineation of responsibilities and lines of communication to support effective coordination between all the stakeholders should exist to ensure efficient and effective operations. Guidance and processes and procedures should be fully integrated and documented and monitoring of operational performance should exist to detect errors or potential errors which would otherwise preclude the achievement of objectives and increase operational risk.

    Strategic direction and oversight

    Strategic direction and an oversight framework with respect to the management and handling of DSAs are in place at the Corporate and Operational level.

    Corporate direction and oversight is provided by the Security Coordination Committee. It reviews all proposals for electronic transmissions before final approval by the Policy Committee. The newly formed Electronic File Transfer Dissemination Governance Committee, created by the Dissemination Division in the summer of 2012 provides strategic direction at the operational level. It has the mandate to establish consistent standards for all incoming and outgoing confidential data and to approve the release of survey data covered by a DSA. The committee has been active in approving the release of survey data since 2012.

    Roles and Responsibilities

    Information Management Division and Other Stakeholders

    The primary responsibility for the implementation of the Directive resides with the Director, Information Management Division (IMD). Other stakeholders' responsibilities are also listed in the Directive such as those for directors of statistical programs, physical and IT security managers, Assistant Chief Statisticians, the Chief Statistician, the Chief Audit Executive, as well as heads of organizations receiving data from Statistics Canada under a DSA. The monitoring function is to be shared between IMD and the managers of statistical programs.

    The audit revealed that, while many of the responsibilities outlined in the Directive have been implemented by IMD, there are certain sections that have not yet been implemented nor enforced. IMD's current Data Access and Control Services (DACS) database has limited capacity, configuration and reporting functionality to maintain the information required to be provided by the divisions regarding the status of DSAs and data shared under a DSA. Failure to implement and enforce the requirements stipulated in the Directive results in increased risk of not meeting the Directive's objective and expected results.

    Statistical Programs

    Roles and responsibilities for the operational implementation and management of sections 11 and 12 data-sharing agreements reside with the directors of statistical programs. Section 6.2 and Appendices B and C of the Directive describe in detail the requirements and processes that must be followed by the Director and Operational Manager of a statistical program. Therefore, it is the responsibility of each director to ensure that their divisions comply with the requirements of the Directive. In establishing roles and responsibilities related to the preparation of statistical information, Statistics Canada's Quality Guidelines recommends that certification or validation should be segregated such that validation is completed by individuals who did not take part in the production or preparation of the data.

    Interviews revealed that each division has created its own structure based on the size of the division and the volume of DSA activity. In divisions with low DSA activity, only one or two people perform all tasks related to the management of DSAs and the dissemination and transmission of data; while divisions with higher volumes of DSA activity have several employees involved. Some divisions with higher volumes of DSA activity have a decentralized process where each unit within the division performs its own management, dissemination and data transmission functions; while other divisions have elected to centralize these functions within the division to promote efficiency and consistency.

    The audit revealed that, regardless of the size or structure of the division or the volume of DSA activity, the roles of the employees involved with DSAs have evolved over time more so than being formally defined and, for the most part, these roles are being adequately performed. However, a lack of segregation of incompatible functions exists within some divisions. Whether a division has centralized or decentralized DSA functions, there were instances where the same employee was preparing and transmitting a share file with no independent verification and approval. Segregation of duties is a key internal control to prevent unintentional errors and ensure timely detection of errors that may occur.

    Information Technology

    The IT group's main responsibility with respect to the management of DSAs is the secure transmission of data via the Electronic File Transfer (e-FT) service which is the corporate system used by Statistics Canada for the transmission of protected information. The requirements of the users of the e-FT system are outlined in a guide called the e-File Transfer Service – STC Internal User Guide (the Guide). Due to the technical nature of the guide, it is not maintained on the intranet site and is distributed mainly to divisions that have had e-FT training. Due to time constraints and an increased demand for the e-FT services, not all divisions have received training on e-FT.

    The audit revealed that, while the roles and responsibilities of the users of the e-FT system are outlined in the Guide, the roles and responsibilities of the Collection Systems Division (CoSD), the Collection Planning and Management Division (CPMD), and the Information Technology Operations Division (ITOD) require some clarification. Interviews revealed that corporately, there is lack of clarity regarding the official business ownership of the e-FT system, including the training function. Over the last two years, certain services had been transferred from CoSD to CPMD, and other services such as service delivery and training that were planned to be transferred had not yet been transferred.

    The lack of clarity surrounding the e-FT service process has resulted in an inconsistent e-FT service model to the statistical programs. Some programs are not yet set-up with e-FT service and some of them had concerns about the time-consuming nature and complexity of the e-FT service set-up process. At the time of the audit, CoSD and CPMD were planning to have meetings to determine a course of action. A lack of clarity with respect to the business ownership of the e-FT service process results in users not fully understanding their duties and leads to ineffective or inefficient processes being applied.

    Guidance for management of data-sharing agreements

    At Statistics Canada, guidance and direction for handling and managing data-sharing agreements are contained in numerous legislative and policy instruments. Specifically:

    • The Directive on Data Sharing under Sections 11 and 12 which provides guidance on the development, implementation, and management and monitoring of data-sharing agreements.
    • The Statistics Act, Privacy Act, Policy on Privacy Impact Assessments, Policy on Informing Survey Respondents, Policy on Security of Sensitive Statistical Information, IT Security Policy, Policy on Micro-Data Release, Policy on Discretionary Disclosure, and The Security Practices manual which provide guidance on DSA confidentiality compliance; and dissemination and transmission requirements.
    • The Policy on Official Release outlines the timing and the conditions under which information can be released to the public in relation to the date specified in The Daily, Statistics Canada's official release vehicle, as well as circumstances under which information can be released prior to the official release date in The Daily.

    The audit found that users have difficulty following and piecing together the information contained in the numerous policy instruments. Sometimes, guidance in the numerous policy instruments overlaps, without clearly indicating which policy instrument overrides the others. This combined with lack of clarity arising from legal and undefined terminology has created operational inefficiencies because users are frequently seeking clarification from subject matter divisions i.e. IMD, IT, Communication and Dissemination. For example, a review of the Directive effective May 15th, 2013 revealed that it did not include a section on the recent changes regarding the April 1, 2013 implementation of 2 new forms: Form 1 – Acknowledgement of Transfer by Directors, which is to be signed by the Director of a statistical program each time that information is to be shared with a partner; and Form 2 – Acknowledgement of Transfer by External Partners, which is to be signed by the sharing partner and returned to Statistics Canada upon receipt of data shared. Interviews revealed that users had only recently become aware of the new forms and most of them stated that either they had or would be contacting IMD for clarification and more information on these new requirements.

    There is awareness of the Directive and the Policy on Official Release but not familiarity with all of their contents. Users expressed concerns about the limited training on the DSA process and on the requirements of the Directive and Policy on Official Release. A pilot training session on 'Disclosure controls for confidential information' was delivered by IMD in the summer of 2013 to select groups (at the director level) and plans are under way to deliver this training to divisions starting in the fall of 2013. Communications division has also scheduled information sessions in October 2013 for all Statistics Canada staff on the updated Policy on Official Release.

    Documented processes and procedures for the management of DSAs

    Each division has established its own practices, depending on their respective needs and which, for the most part, are functioning well. For some divisions, data transmission under a DSA occurs infrequently, such as only once a year, every two years or, in one case, every 10 years. In these cases, management and staff indicated that they normally rely heavily on IMD and or IT to assist them with the required steps to follow. Other divisions transmit data on a regular basis such as quarterly, monthly, or even weekly. Generally, these employees, particularly those who had been in their positions for many years, indicated that they are quite familiar with the process and, therefore, they would not require documented processes.

    Manufacturing and Energy Division (MED) which has a large volume of DSAs has developed thorough documented processes and procedures. It has centralized the dissemination section to create an ongoing capacity, including trained and experienced staff. They have created an Excel document that is stored on a share drive outlining the specific procedures related to different types of data-sharing under various forms of DSAs. This mechanism helps the subject matter expert to easily consult procedures and inform the partner up-front what can and cannot be shared, thereby promoting a better relationship with the partner.

    A summary worksheet outlines the rules and requirements for each type of DSA (i.e. Section 11, 12, 12+) and for Work-in-Progress (WIP) or other advance releases. It also includes hyperlinks to other worksheets, outlining specific rules for each situation.

    Separate worksheets are used to maintain an inventory of DSAs for MED surveys by year, and an inventory of MED WIPs by year and ongoing, or for a one-time status. A checklist called Encryption Request Checklist has been developed for completion by the Analyst before it is submitted to the Dissemination section to request the encryption and e-FT of the data to the partner. The Dissemination section handles the e-FT and maintains a data encryption log to meet the requirements of the Directive. A Procedures-File Transmission document provides detailed steps on how to prepare a file for transmission, complete with print screen illustrations using Entrust for encrypting and password protecting the files and the steps to follow to prepare and share data files either via e-FT or CD.

    Clearly documented processes and procedures would help statistical programs to establish consistent practices for the management of DSAs and the dissemination and transmission of confidential data. Documented processes are particularly helpful when staff turnover occurs, and would reduce divisions' heavy reliance on IT and IMD when data transmissions are few and far between, making the processes more efficient. Statistical programs that have not documented their own processes, could consider developing their own by leveraging and adapting MED's documented processes and procedures to meet their program's respective needs and practices.

    Monitoring activities

    The Statistical Agreements, Legislation and Licensing (SALL) section of IMD has the functional responsibility for the management of the DSAs under sections 11 and 12 of Statistics Act and to account for the legal authorizations provided by the Chief Statistician for the collection and release of confidential information. Statistical program areas rely on SALL to maintain an inventory of their data-sharing agreements and to provide them the information they need to manage their responsibilities related to DSAs.

    SALL uses the Data Access and Control Services (DACS) database to keep an inventory of all currently valid data-sharing agreements signed by Statistics Canada under sections 11 and 12.

    The audit noted that an inventory of all valid DSAs under sections 11 and 12 signed by Statistics Canada at a given point in time was not available; and ongoing review and comparison of the information in the database with actual existing DSAs does not occur. IMD has received approval for the renewal of the DACS database through Statistics Canada's Long Term-Planning process. The renewal initiative will start in April 2014.

    Appendix C of the Directive on Monitoring of Data-sharing Agreements outlines the responsibilities related to the monitoring of compliance with DSAs to ensure that due diligence and legal requirements are met, particularly with respect to the protection of confidentiality and respondent information. The Directive states that IMD and managers of statistical programs have shared responsibilities for the monitoring of DSAs. Section 6.1.10 and Appendix B provides steps to follow for the amendment, renewal or termination of an existing DSA under s.12 and outlines the responsibilities for monitoring the term limits of DSAs and informing program managers of agreements nearing the termination date (at least every 6 months).

    The audit revealed that 317 out of 495 (64%) DSAs under section 12 are not active but the data shared under these DSAs is still in the custody of the share partners, and are considered 'active' from a legal standpoint. These DSA templates did not have a finite termination period, compared to DSAs using the new template (as of 2010) which specify a termination period of 6 years. Two divisions account for the majority of these DSAs. Interviews with the directors of these divisions revealed that they were not aware of the large number of old DSAs in their divisions, or of the status of these DSAs, and were not clear about what is expected of them regarding the management and the ongoing review of the status of the DSAs, or how to proceed with that duty.

    The audit concluded that there is a lack of monitoring and ongoing review of the status of the DSAs. This increases the risk of failure to detect confidentiality breaches in relation to the DSA legislative and policy requirements and failure to implement timely and effective corrective measures.

    Recommendations:

    The Assistant Chief Statistician Analytical Studies, Methodology and Statistical Infrastructure should ensure that:

    • Segregation of duties related to the preparation and approval of data for transmission is in place, where practical.
    • All governance instruments related to the management and application of DSAs are cross-referenced and indicate which policy overrides others when there are overlaps, to ensure a consistent understanding and efficient application of DSA requirements.
    • The current inventory for DSAs under section 12 is assessed for continued relevance; and the Directive requirements related to sharing of information, monitoring and ongoing review of the status of DSAs occurs on a regular basis in compliance with the Directive on Data Sharing under Sections 11 and 12.

    Management Response:

    Management agrees with the recommendations.

    • The Director of IMD will provide data sharing programs with guidelines and requirements on managing DSAs including segregation of duties where practical, in the context of managing data sharing agreements. Directors of programs with DSAs will be responsible to ensure implementation.

      Deliverables and Timeline: DSA toolkit will be developed. This will be completed by March 2014.
    • The Director of IMD will conduct a review of relevant governance instruments to ensure clarity of language and to establish precedence as required.

      Deliverables and Timeline: Updates to Statistics Canada Policy Suite as well as the DSA toolkit. This will be completed by December 2014.
    • The Director of IMD will establish and implement a process for regular and ongoing review of Section 12 DSAs and implement changes to Data Access Control System (DACS) to facilitate review, monitoring and assessment.

      Deliverables and Timeline: Implement process for regular and ongoing review of Section 12 DSAs. This will be completed by January 2014. Implement changes to Data Access Control System (DACS). This will be completed by December 2015.

    Recommendations:

    The Assistant Chief Statistician Census, Operations and Communications should ensure that:

    • Governance related to the electronic file transmission service is clarified.

    Management Response:

    Management agrees with the recommendations.

    • The Directive on the Transmission of Protected Information will be strengthened and communicated to all Agency managers by the Director of Dissemination Division and Director of IMD.

      Deliverables and Timeline: Update to the Directive on the Transmission of Protected Information. This will be completed by December 31, 2013.
    • All exemptions from using the e-FT service will now be approved by the Security Coordination Committee

      Deliverables and Timeline: Security Coordination Committee will develop a communication strategy to inform Agency managers on the changes to the Directive on the Transmission of Protected Information and the process to seek exemption. This will be completed by January 2014.

    Objective 2: The Agency's Data Sharing Agreements are internally managed to comply with relevant TBS policies, Statistics Canada policies, and legislative requirements.

    Stewardship

    Practices for the management of data-sharing agreements are in place and overall, statistical programs are compliant with the relevant TBS and Statistics Canada policies, and legislative requirements.

    Electronic transmission of information under DSAs is in place and effectively protects and safeguards Statistics Canada's confidential information. Information transmitted by portable storage devices did not always have the appropriate security in place for secure transmittal.

    Sound internal controls to ensure compliance by users with all applicable policies, laws and legislative requirements should be in place and integrated into business practices to protect and safeguard Statistics Canada confidential information against loss, theft, compromise or improper disclosure.

    Practices for Management of the Data Sharing Agreements

    The audit tested a sample of 42 out of 557 (7.5%) data-sharing agreement data files shared in fiscal years 2011-12 and 2012-13 to:

    1. Verify if the information transmitted was in accordance to the DSA and the survey template.
    2. The data transmission date and time did not precede the Official Release date and time.
    3. The recipient information matched the contact information; and
    4. The method and level of security to transmit the data files followed an Agency approved method.

    Data files were randomly and judgmentally selected from 8 divisions out of 17 in Field 5, and 5 divisions out of 9 in Field 8.

    Content of share file complies with the DSA and the Survey template

    The audit reviewed the data sets for the 42 data files shared in fiscal years 2011-12 and 2012-13 to the data-sharing agreement and the survey template covered by the DSA. The audit confirmed that for all of the 42 data files, the share partner, survey information, reference period and contents of the share files were valid and in compliance with the DSA and the survey template.

    Compliance with the Policy on Official Release

    The audit assessed if the 42 data files shared in fiscal years 2011-12 and 2012-13 were compliant to the Official Release policy. The audit found that 38 out of 42 files were final releases and confirmed through interviews and documentation review that the date and time of transmission of these files was after the official release date and time in The Daily. 4 out of 38 files were shared prior to official release. The audit confirmed that the conditions, types of arrangements and submission forms of the 4 files were valid and in compliance with the Official Release Policy.

    Transmission and data protection

    The audit verified the method of transmission and level of security used to transmit the data files to external partners. The audit noted that 8 out of 12 divisions that were included in our testing, are set-up for transmission via electronic file transmission (e-FT), although some statistical programs are still using CDs and DVDs because either the program or the external partner are still not set-up for transmission by e-FT. The audit also noted that the method of encryption and password protection by the programs is Entrust. The audit confirmed that 40 out of 42 files were encrypted and password protected before they were transmitted to the external partners, but 2 of the data files transmitted by CDs had not been encrypted and password protected. The audit also noted that there was no proof of delivery for 3 CDs that were hand delivered. In Statistics Canada's Security Practices Manual, Chapter 2 a "record of delivery" is required.

    Data custodian

    The Directive on Data Sharing under Sections 11 and 12 notes that the Data custodian is the person who receives the share files from Statistics Canada and has operational responsibility within the organization for the security of the information in these files. Statistical programs are required to update any changes to the contact information at the receiving party on an annual basis. For the 42 data files shared in fiscal years 2011-12 and 2012-13 the audit verified if the recipient name to whom the data file was transmitted was the same as the official contact information. Through documentation review and interviews, the audit confirmed that for 41 out of 42 data files, the recipient name to whom the data file was transmitted was the same as the official contact information. The recipient information for one of the files could not be confirmed as all coordination and confirmation for delivery was done by phone.

    Practices for the management of data-sharing agreements are in place and overall, statistical programs are compliant with the relevant TBS policies, Statistics Canada policies, and legislative requirements.

    Recommendations:

    The Assistant Chief Statistician Analytical Studies, Methodology and Statistical Infrastructure should ensure that:

    • Information transmitted by portable storage devices has the appropriate security in place for secure transmission and complies with applicable policies.

    Management Response:

    Management agrees with the recommendations.

    • The Director of IMD will ensure information on security practices for transmission of data, as defined by departmental IT security policies and directives is replicated in DSA toolkit.

      Deliverables and Timeline: DSA toolkit will be developed. This will be completed by March 2014.

    Appendices

    Appendix A: Audit Criteria

    Table 1: Audit Criteria
    Control Objective / Core Controls / Criteria Sub-Criteria Policy Instrument
    1. The Agency has an adequate and effective management control framework in place to ensure DSA management processes are consistently designed, fully implemented, and on-going monitoring of DSAs is carried out
    Governance

    1. Strategic direction and objectives for the management of DSAs exist, are clearly defined and communicated (G3 & G4).
    1.1.1 Strategic direction and objectives are documented.

    1.1.2 Processes and procedures exist, are documented and communicated.
    Statistics Act

    The Companion Guide to the Statistics Act

    TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

    Statistics Canada Directive on Data Sharing under Sections 11 and 12

    Statistics Canada Policy on Official Release
    Accountability

    1.2 Authorities, responsibilities and accountabilities are formally defined, clear and communicated. A clear organization structure is established and documented. (AC-1; AC-2; AC-3; AC-4 & ST-13)
    1.2.1 Employees' duties and control responsibilities as they relate to DSAs are clearly defined, documented and communicated to the relevant stakeholders.

    1.2.2 The organizational structure for the management of DSAs is up-to-date and widely communicated.

    1.2.3 Authority is formally delegated and delegated authority is aligned with individuals' responsibilities. Where, applicable, incompatible functions are not combined.
    TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

    Statistics Canada Directive on Data Sharing under Sections 11 and 12
    Risk Management

    1.3 Management identifies and assesses the existing controls that are in place to manage its risks, and communicates its risks and risk management strategies to key stakeholders. (RM-3 & RM-6)
    1.3.1 Formal processes and guidelines exist and are applied to facilitate the identification of those controls which are in place to manage the identified risks.

    1.3.2 Risk information is regularly presented to and discussed at established management and oversight committees and embedded in key performance reports.
    TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

    Statistics Canada Directive on Data Sharing under Sections 11 and 12

    Statistics Canada Policy on Official Release

    Statistics Canada Security Practices Manual

    Statistics Canada Policy on the Security of Sensitive Statistical Information

    Statistics Canada Policy on Privacy Impact Statements (PIA)

    Statistics Canada Policy on Informing Survey Respondents (ISR)

    Statistics Canada Policy on Micro-Data Release

    Statistics Canada Policy on Discretionary Disclosure and Associated Guidelines

    TBS – Government Policy on Security

    TBS – Standard on Physical Security

    TBS – Directive on Departmental Security Management
    2. The Agency's Data Sharing Agreements are internally managed to comply with relevant TBS policies, Statistics Canada policies, and legislative requirements.
    Stewardship

    2.1 Assets, including information management practices and systems, are life-cycle managed and are protected and maintained in accordance with laws and regulations. (ST-7; ST-8; ST-9; ST-11 & ST-12)
    2.1.1 Plans for the appropriate management of DSAs have been documented and implemented and includes short and long-term time frames for managing them.

    2.1.2 Responsibility for monitoring the management of information is clearly assigned.

    2.1.3 Access to data, records and information is limited to authorized individuals through the use of access controls such as unique user names and passwords.

    2.1.4 Records data and information, and access to information, are appropriately secured in compliance with relevant TBS and Statistics Canada policies and legislative requirements.

    2.1.5 Procedures to safeguard the Agency's assets upon change of duties of an employee exist and are adhered to.
    TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

    Statistics Canada Directive on Data Sharing under Sections 11 and 12

    Statistics Canada Security Practices Manual

    Statistics Canada Policy on the Security of Sensitive Statistical Information

    TBS – Government Policy on Security

    TBS – Standard on Physical Security

    TBS – Directive on Departmental Security Management
    2.2 Assets and records are periodically verified and appropriate reporting is communicated as required (ST-14 & ST-20) 2.2.1 The DSA database is periodically verified and compared to actual existing DSAs.

    2.2.2 Comparisons between the database information and actual existing DSAs are reviewed by a superior and discrepancies are followed up on a timely basis. The database is updated as required.

    2.2.3 Complete, accurate, relevant and timely reports on the status of DSAs are submitted as required.
    TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

    Statistics Canada Directive on Data Sharing under Sections 11 and 12

    Statistics Canada Security Practices Manual

    Statistics Canada Policy on the Security of Sensitive Statistical Information

    TBS – Government Policy on Security

    TBS – Standard on Physical Security

    TBS – Directive on Departmental Security Management
    People

    2.3 The Agency provides employees with the necessary training, tools, resources and information to support the discharge of their responsibilities. (PPL-4)
    2.3.1 A suitable training and development plan exists for the handling and management of DSAs.

    2.3.2 Employees have access to sufficient tools, such as software, equipment, work methodologies and standard operating procedures.

    2.3.3 An information-sharing process exists to support the efficient and targeted dissemination of relevant and reliable information to the appropriate stakeholders.
    TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

    Statistics Canada Directive on Data Sharing under Sections 11 and 12
    Citizen Focused Service

    2.4 Lines of communication exist between the Agency, users and other external stakeholders and the Agency leverages information technology to enhance user service and access. (CFS-1 & CFS-4)
    2.4.1 Formal communication processes / mechanisms exist and support sharing of timely, relevant and reliable information to users, recipients and other external stakeholders.

    2.4.2 Systems and processes are in place to facilitate inter-operability with users and partners.
    TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

    Appendix B: Sample Selection

    Table 2: Sample Selection
    Division S. 12 S.11 Files shared 2011/12 & 2012/13 Data Files Tested
    Transportation 8 3 20 4
    Investment, Science and Technology 7 0 15 4
    Agriculture 28 9 17 3
    Centre for Special Business Process 4 0 6 2
    Consumer Prices 2 1 0 0
    International Trade 0 0 0 0
    Producer Prices 0 0 0 0
    Industrial Organization and Finance 5 0 1 1
    Manufacturing and Energy 18 0 254 9
    Service Industries 2 0 2 1
    Distributive Trade 0 0 0 0
    Enterprise Statistics 0 0 0 0
    Environment Accounts and Statistics 2 0 7 2
    National Economic Accounts 1 0 1 1
    Public Sector Statistics 1 0 0 0
    Industrial Accounts 0 0 0 0
    International Accounts and Statistics 0 0 0 0
    Tourism and Education Statistics 211 0 33 5
    Income Statistics 22 0 0 0
    Labour Statistics 1 0 0 0
    Special Surveys 116 1 4 1
    Health Statistics 59 1 195 8
    Canadian Centre for Justice Statistics 2 0 2 1
    Demography 0 0 0 0
    Microdata Access 0 0 0 0
    Social & Aboriginal Statistics 6 0 0 0
    Total DSAs 495 15 557 42

    Appendix C: Acronyms

    Table 3: Acronyms
    Acronym Description
    DSA Data Sharing Agreement
    DAC Departmental Audit Committee
    TBS Treasury Board Secretariat
    e-FT Electronic File Transmission
    IIA Institute of Internal Auditors
    CS Chief Statistician
    IMD Information Management Division
    DACS Data Access Control Services
    CoSD Collection Systems Division
    CPMD Collection Planning and Management Division
    ITOD Information Technology Operations Division
    MED Manufacturing Energy Division
    WIP Work-in-Progress
    SALL Statistical Agreements, Legislation and Licensing
    PIA Privacy Impact Statements
    ISR Informing Survey Respondents

    Financial and Charitable Donors

    Income Statistics Division

    User's Guide

    Table of contents

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    RRSP Contributors (product #17C0006)
    RRSP Contribution Limits (ROOM) (product # 17C0011)
    Canadian Savers (product #17C0009)
    Canadian Investors (product #17C0007)
    Canadian Investment Income (product #17C0008)
    Canadian Capital Gains (product #17C0012)
    Canadian Taxfilers (product #17C0010)
    Charitable Donations (product #13C0014)
    Data Source
    Data Frequency
    Data Quality
    Confidentiality and Rounding
    Glossary of Terms
    Statistical Tables - Footnotes and Historical Availability
    Geography

    Geographic Levels – Postal Geography

    Geographic Levels – Census Geography
    Geographic Levels – Special Geography
    We Invite Your Comments
    List of Data Products Available

    Statistics Canada
    Income Statistics Division
    income@statcan.gc.ca
    February 2013

    Text begins

    RRSP Contributors (product #17C0006)

    This databank provides information on taxfilers who contributed to a Registered Retirement Savings Plan (RRSP) during the tax year under review.

    The content of the databank is as follows:

    Table 1:  Summary
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Number of RRSP contributors
    Column 8 – Average age of RRSP contributors
    Column 9 – Median employment income of RRSP contributors
    Column 10 – 75th percentile of employment income of RRSP contributors
    Column 11 – Amount of RRSP dollars reported (in thousands of dollars)
    Column 12 – Median RRSP contribution

    Table 2:  Age groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of RRSP contributors
    Column 8 – Percent of contributors 0 to 24 years of age
    Column 9 – Percent of contributors 25 to 34 years of age
    Column 10 – Percent of contributors 35 to 44 years of age
    Column 11 – Percent of contributors 45 to 54 years of age
    Column 12 – Percent of contributors 55 to 64 years of age
    Column 13 – Percent of contributors 65+ years of age
    Column 14 – Total amount of RRSP dollars reported (in thousands of dollars)
    Column 15 – Percent of contributions reported by age group 0 to 24
    Column 16 – Percent of contributions reported by age group 25 to 34
    Column 17 – Percent of contributions reported by age group 35 to 44
    Column 18 – Percent of contributions reported by age group 45 to 54
    Column 19 – Percent of contributions reported by age group 55 to 64
    Column 20 – Percent of contributions reported by age group 65+

    Table 3:  Sex
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Percent of taxfilers who are male
    Column 8 – Percent of taxfilers who are female
    Column 9 – Total number of RRSP Contributors
    Column 10 – Percent of contributors who are male
    Column 11 – Percent of contributors who are female
    Column 12 – Total amount of RRSP dollars reported (in thousands of dollars)
    Column 13 – Percent of contributions reported by males
    Column 14 – Percent of contributions reported by females
    Column 15 – Median RRSP contribution of all contributors
    Column 16 – Median RRSP contribution of males
    Column 17 – Median RRSP contribution of females

    Table 4:  Income groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of RRSP contributors
    Column 8 – Percent of RRSP contributors with total income less than $20,000
    Column 9 – Percent of RRSP contributors with total income between $20,000 and $39,999
    Column 10 – Percent of RRSP contributors with total income between $40,000 and $59,999
    Column 11 – Percent of RRSP contributors with total income between $60,000 and $79,999
    Column 12 – Percent of RRSP contributors with total income $80,000+
    Column 13 – Total amount of RRSP dollars reported (in thousands of dollars)
    Column 14 – Percent of total RRSP amount reported by contributors with total income less than $20,000
    Column 15 – Percent of total RRSP amount reported by contributors with total income between $20,000 and $39,999
    Column 16 – Percent of total RRSP amount reported by contributors with total income between $40,000 and $59,999
    Column 17 – Percent of total RRSP amount reported by contributors with total income between $60,000 and $79,999
    Column 18 – Percent of total RRSP amount reported by contributors with total income $80,000+

    RRSP Contribution Limits (ROOM) (product # 17C0011)

    The Registered Retirement Savings Plan (RRSP) Room databank was created to provide information on the RRSP contribution limit (RRSP Room) available. This product can be used in conjunction with the RRSP databank which concentrates on the RRSP contributors.

    In 1989, the legislation dictated that contribution limits for persons not contributing to a registered pension plan (RPP) or a Deferred Profit Sharing Plan (DPSP) was 20% of earned income to a maximum of $7,500. The limit for RPP and DPSP members was 20% of earned income to a maximum of $3,500 less the amount contributed by the employee to the RPP or DPSP.

    Further amendments to the Income Tax Act relative to RRSPs, taking effect January 1, 1991, were intended to make RRSP contribution limits more equitable. The RRSP contribution limit was set at 18% of earned income for the previous tax year, to a set maximum minus the Pension Adjustment (PA). The PA represents the calculated value of the pension accrued through an RPP or a DPSP in the previous tax year.

    Total RRSP Room represents the deduction limit that Canadians can claim with respect to contributions made to RRSPs. It does not include income eligible for transfers, such as retiring allowances and severance pay that may be rolled over into RRSPs. The sum of the deduction limit and rollovers represents the maximum amount that can be claimed as a deduction on line 208 of the income tax return.

    Figure 1 – New room- Calculations of RRSP contributions limits

    Earned income in tax year New room Unused room Total room (for tax year+1)
    1991 For 1992 pre1991 = 0 New room only
    1992 For 1993 1991 to 1992 Unused room + new room
    1993 For 1994 1991 to 1993 Unused room + new room
    1994 For 1995 1991 to 1994 Unused room + new room
    1995 For 1996 1991 to 1995 Unused room + new room
    1996 For 1997 1991 to 1996 Unused room + new room
    1997 For 1998 1991 to 1997 Unused room + new room
    1998 For 1999 1991 to 1998 Unused room + new room
    1999 For 2000 1991 to 1999 Unused room + new room
    2000 For 2001 1991 to 2000 Unused room + new room
    2001 For 2002 1991 to 2001 Unused room + new room
    2002 For 2003 1991 to 2002 Unused room + new room
    2003 For 2004 1991 to 2003 Unused room + new room
    2004 For 2005 1991 to 2004 Unused room + new room
    2005 For 2006 1991 to 2005 Unused room + new room
    2006 For 2007 1991 to 2006 Unused room + new room
    2007 For 2008 1991 to 2007 Unused room + new room
    2008 For 2009 1991 to 2008 Unused room + new room
    2009 For 2010 1991 to 2009 Unused room + new room
    2010 For 2011 1991 to 2010 Unused room + new room
    2011 For 2012 1991 to 2011 Unused room + new room

     

    Calculation of contribution limits

    For 1990, maximum contributions are:

    • for non-participants in RPPs and DPSPs, the lesser of 20% of earned income and $7,500
    • for participants in RPPs and DPSPs, 20% of earned income to a maximum of $3,500; the maximum is reduced according to employee contributions to RPPs/DPSPs.

    For 1991 to 2011:

    New room = 18% of earned income - PA - PSPA

    Percentage of earned income to a maximum of

    • $11,500 for 1991
    • $12,500 for 1992 and 1993
    • $13,500 for 1994
    • $14,500 for 1995
    • $13,500 for 1996
    • $13,500 for 1997
    • $13,500 for 1998
    • $13,500 for 1999
    • $13,500 for 2000
    • $13,500 for 2001
    • $13,500 for 2002
    • $14,500 for 2003
    • $15,500 for 2004
    • $16,500 for 2005
    • $18,000 for 2006
    • $19,000 for 2007
    • $20,000 for 2008
    • $21,000 for 2009
    • $22,000 for 2010
    • $22,450 for 2011

    Where PA = Pension Adjustment, and PSPA = Past Service Pension Adjustment

    Prior to tax year 2000 (Room 2001):

    Total Room (for tax year+1) = Unused Room (from 1991 forward) + New Room

    For tax years 2000 to 2011 (Room 2001 to Room 2012):

    Total Room (for tax year+1) = Unused Room accumulated since 1991 + (18% of earned income – Pension adjustment) – Current tax year contributions excluding rollovers

    Data source

    Prior to the release of data for tax year 2000, the RRSP ROOM data were derived from a file received annually from the Canada Revenue Agency (CRA, formerly Canada Customs and Revenue Agency). CRA generated the data from an administrative system designed in response to changes to the Income Tax Act with respect to Registered Retirement Savings Plans, changes that took effect January 1, 1991.

    The system records information for each taxfiler with "earned income" (income used to determine the RRSP deduction limit). The information includes each year's earned income, new room amounts and unused room amounts carried forward.

    Starting with the 2001 ROOM (2000 tax data), the amount of RRSP Room is calculated from other variables on the preliminary file, variables which were previously unavailable.

    This year's release of the RRSP Room data is based on 2011 income tax returns. Contributions towards these limits can be made up to February 2013, to be reported on the 2012 tax returns. The mailing address at the time of filing is the basis for the geographic information in the tables.

    Data quality

    The calculated Room amount is equal to the amount on the Canada Revenue Agency (CRA) RRSP Room file.

    The content of the databank is as follows:

    Table 1: Persons with room
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk number (no longer available)
    Column 4 – Level of geography (see Geography section)
    Column 5 – Place name
    Column 6 – Amount of Room dollars reported (in thousands of $)
    Column 7 – Amount of Unused Room dollars reported (in thousands of $)
    Column 8 – Amount of New Room dollars reported (in thousands of $)
    Column 9 – Number of taxfilers with Room
    Column 10 – Number of taxfilers with Unused Room
    Column 11 – Number of taxfilers with New Room

    Table 2: Characteristics of persons with new room
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk number (no longer available)
    Column 4 – Level of geography (see Geography section)
    Column 5 – Place name
    Column 6 – Number of taxfilers with New Room
    Column 7 – Average Age of taxfilers with New Room
    Column 8 – Percentage Female taxfilers with New Room
    Column 9 – Median Earned Income of taxfilers with New Room
    Column 10 – Average New Room
    Column 11 – Percentage of taxfilers with New Room between $500 and $2,399
    Column 12 – Percentage of taxfilers with New Room between $2,400 and $4,699
    Column 13 – Percentage of taxfilers with New Room between $4,700 and $7,799
    Column 14 – Percentage of taxfilers with New Room between $7,800 and $12,999
    Column 15 – Percentage of taxfilers with New Room greater than $13,000

    Additional notes for Table 2:

    Column 11: The first value represents the 25th percentile and is recalculated periodically.
    Column 12: The first value represents the 50th percentile and is recalculated periodically.
    Column 13: The first value represents the 75th percentile and is recalculated periodically.
    Column 14: The first value represents the 90th percentile and is recalculated periodically.
    Column 15: The value represents the 97th percentile and is recalculated periodically.

    Canadian Savers (product #17C0009)

    Line 120 – Taxable amount of dividends from taxable Canadian corporations
    Line 121 – Interest and other investment income

    This databank provides information on taxfilers who have been classified as savers.

    Savers are defined as taxfilers who reported interest and investment income on line 121, but no dividend income on line 120 of the personal income tax return.

    Interest and investment income sources would include interest from Canada Savings bonds, bank accounts, treasury bills, investment certificates, term deposits, earnings on life insurance policies as well as foreign interest and dividend income.

    Dividend income would include dividends from taxable Canadian corporations (as stocks or mutual funds), but not dividends from foreign investments.

    Taxfilers reporting Canadian dividend income would not be counted as savers, but would be classified as investors.

    The content of the databank is as follows:

    Table 1: Summary
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Number of savers
    Column 8 – Average age of savers
    Column 9 – Median total income of savers
    Column 10 – Total amount of interest dollars reported (in thousands of dollars)
    Column 11 – Median of interest dollars

    Table 2: Age groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of savers
    Column 8 – Percent of savers 0-24 years of age
    Column 9 – Percent of savers 25-34 years of age
    Column 10 – Percent of savers 35-44 years of age
    Column 11 – Percent of savers 45-54 years of age
    Column 12 – Percent of savers 55-64 years of age
    Column 13 – Percent of savers 65+ years of age
    Column 14 – Total amount of interest income dollars reported (in thousands of dollars)
    Column 15 – Percent of interest income reported by age group 0-24
    Column 16 – Percent of interest income reported by age group 25-34
    Column 17 – Percent of interest income reported by age group 35-44
    Column 18 – Percent of interest income reported by age group 45-54
    Column 19 – Percent of interest income reported by age group 55-64
    Column 20 – Percent of interest income reported by age group 65+

    Table 3: Sex
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Percent of taxfilers who are male
    Column 8 – Percent of taxfilers who are female
    Column 9 – Total number of savers
    Column 10 – Percent of savers who are male
    Column 11 – Percent of savers who are female
    Column 12 – Total amount of interest income reported (in thousands of dollars)
    Column 13 – Percent of interest income reported by males
    Column 14 – Percent of interest income reported by females
    Column 15 – Median interest income of all savers
    Column 16 – Median interest income of all male savers
    Column 17 – Median interest income of all female savers

    Table 4: Income groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of savers
    Column 8 – Percent of savers with total income less than $20,000
    Column 9 – Percent of savers with total income between $20,000 and $39,999
    Column 10 – Percent of savers with total income between $40,000 and $59,999
    Column 11 – Percent of savers with total income between $60,000 and $79,999
    Column 12 – Percent of savers with total income $80,000+
    Column 13 – Total amount of interest income reported (in thousands of dollars)
    Column 14 – Percent of interest income reported by savers with total income less than $20,000
    Column 15 – Percent of interest income reported by savers with total income between $20,000 and $39,999
    Column 16 – Percent of interest income reported by savers with total income between $40,000 and $59,999
    Column 17 – Percent of interest income reported by savers with total income between $60,000 and $79,999
    Column 18 – Percent of interest income reported by savers with total income $80,000+

    Canadian Investors (product #17C0007)

    Line 120 – Taxable amount of dividends from taxable Canadian corporations
    Line 121 – Interest and other investment income

    This databank provides information on taxfilers classified as investors.

    Investors include taxfilers who reported dividend income on line 120 of their personal tax return. They may or may not have also reported interest and other investment income on line 121. When income is also reported on line 121, that amount is added to the amount of dividend income received, and the sum becomes the investment income of the investor.

    The content of the databank is as follows:

    Table 1: Summary
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Number of investors
    Column 8 – Average age of investors
    Column 9 – Median total income of investors
    Column 10 – Amount of investment dollars (in thousands of dollars)
    Column 11 – Percentage of the investment income derived from dividends
    Column 12 – Median investment income

    Table 2: Age groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of investors
    Column 8 – Percent of investors 0-24 years of age
    Column 9 – Percent of investors 25-34 years of age
    Column 10 – Percent of investors 35-44 years of age
    Column 11 – Percent of investors 45-54 years of age
    Column 12 – Percent of investors 55-64 years of age
    Column 13 – Percent of investors 65+ years of age
    Column 14 – Total amount of investment income dollars reported (in thousands of dollars)
    Column 15 – Percent of investment income reported by age group 0-24
    Column 16 – Percent of investment income reported by age group 25-34
    Column 17 – Percent of investment income reported by age group 35-44
    Column 18 – Percent of investment income reported by age group 45-54
    Column 19 – Percent of investment income reported by age group 55-64
    Column 20 – Percent of investment income reported by age group 65+

    Table 3: Sex
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Percent of taxfilers who are male
    Column 8 – Percent of taxfilers who are female
    Column 9 – Total number of investors
    Column 10 – Percent of investors who are male
    Column 11 – Percent of investors who are female
    Column 12 – Total amount of investment income reported (in thousands of dollars)
    Column 13 – Percent of investment income reported by males
    Column 14 – Percent of investment income reported by females
    Column 15 – Median investment income of all investors
    Column 16 – Median investment income of all male investors
    Column 17 – Median investment income of all female investors

    Table 4: Income groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of investors
    Column 8 – Percent of investors with total income less than $20,000
    Column 9 – Percent of investors with total income between $20,000 and $39,999
    Column 10 – Percent of investors with total income between $40,000 and $59,999
    Column 11 – Percent of investors with total income between $60,000 and $79,999
    Column 12 – Percent of investors with total income $80,000+
    Column 13 – Total amount of investment income reported (in thousands of dollars)
    Column 14 – Percent of investment income reported by investors with total income less than $20,000
    Column 15 – Percent of investment income reported by investors with total income between $20,000 and $39,999
    Column 16 – Percent of investment income reported by investors with total income between $40,000 and $59,999
    Column 17 – Percent of investment income reported by investors with total income
    between $60,000 and $79,999
    Column 18 – Percent of investment income reported by investors with total income
    $80,000+

    Canadian Investment Income (product #17C0008)

    Line 120 – Taxable amount of dividends from taxable Canadian corporations
    Line 121 – Interest and other investment income

    This databank provides information on taxfilers who reported dividend income on line 120 of the tax return, or interest and other investment income on line 121, or both. These taxfilers include those designated as savers and those designated as investors in two other databanks available: Canadian Savers and Canadian Investors. In this databank, investment income includes both interest and dividends.

    Dividend income includes dividends from taxable Canadian corporations (as stocks or mutual funds).

    Interest and other investment income sources include interest from Canada Savings bonds, bank accounts, treasury bills, investment certificates, term deposits, earnings on life insurance policies as well as foreign interest and dividend income.

    The content of the databank is as follows:

    Table 1: Summary
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Number of taxfilers with investment income
    Column 8 – Average age of taxfilers with investment income
    Column 9 – Median total income of taxfilers with investment income
    Column 10 – Reported investment income dollars for all taxfilers with investment income (in thousands of dollars)
    Column 11 – Median investment income for all taxfilers with investment income

    Table 2: Age groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of receivers of investment income
    Column 8 – Percent of receivers of investment income 0-24 years of age
    Column 9 – Percent of receivers of investment income 25-34 years of age
    Column 10 – Percent of receivers of investment income 35-44 years of age
    Column 11 – Percent of receivers of investment income 45-54 years of age
    Column 12 – Percent of receivers of investment income 55-64 years of age
    Column 13 – Percent of receivers of investment income 65+ years of age
    Column 14 - Total amount of investment income dollars reported (in thousands of dollars)
    Column 15 – Percent of investment income reported by age group 0-24
    Column 16 – Percent of investment income reported by age group 25-34
    Column 17 – Percent of investment income reported by age group 35-44
    Column 18 – Percent of investment income reported by age group 45-54
    Column 19 – Percent of investment income reported by age group 55-64
    Column 20 – Percent of investment income reported by age group 65+

    Table 3: Sex
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Percent of taxfilers who are male
    Column 8 – Percent of taxfilers who are female
    Column 9 – Total number of receivers of investment income
    Column 10 – Percent of receivers of investment income who are male
    Column 11 – Percent of receivers of investment income who are female
    Column 12 – Total amount of investment income reported (in thousands of dollars)
    Column 13 – Percent of investment income reported by males
    Column 14 – Percent of investment income reported by females
    Column 15 – Median investment income of all receivers of investment income
    Column 16 – Median investment income of all male receivers of investment income
    Column 17 – Median investment income of all female receivers of investment income

    Table 4: Income groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Total number of receivers of investment income
    Column 8 – Percent of receivers of investment income with total income less than $20,000
    Column 9 – Percent of receivers of investment income with total income between $20,000 and $39,999
    Column 10 – Percent of receivers of investment income with total income between $40,000 and $59,999
    Column 11 – Percent of receivers of investment income with total income between $60,000 and $79,999
    Column 12 – Percent of receivers of investment income with total income $80,000+
    Column 13 – Total amount of investment income reported (in thousands of dollars)
    Column 14 – Percent of investment income reported by receivers of investment income with total income less than $20,000
    Column 15 – Percent of investment income reported by receivers of investment income with total income between $20,000 and $39,999
    Column 16 – Percent of investment income reported by receivers of investment income with total income between $40,000 and $59,999
    Column 17 – Percent of investment income reported by receivers of investment income with total income between $60,000 and $79,999
    Column 18 – Percent of investment income reported by receivers of investment income with total income $80,000+

    Canadian Capital Gains (product #17C0012)

    Line 127 – Taxable amount of capital gains

    This databank provides information on taxfilers who reported capital gains during the tax year under review.

    Line 127 of the T1 income tax return contains the amount of taxable capital gains reported by Canadians; this value is half the actual capital gains received. The information in this databank reflects the total capital gains received; amounts reported have been grossed up to reflect this total.

    The content of the databank is as follows:

    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Total number of taxfilers
    Column 7 – Number of taxfilers reporting capital gains
    Column 8 – Percent of taxfilers reporting capital gains who had a total income under $20,000
    Column 9 – Percent of taxfilers reporting capital gains who had a total income between $20,000 and $39,999
    Column 10 – Percent of taxfilers reporting capital gains who had a total income between $40,000 and $59,999
    Column 11 – Percent of taxfilers reporting capital gains who had a total income between $60,000 and $79,999
    Column 12 – Percent of taxfilers reporting capital gains who had a total income of $80,000+
    Column 13 – Total value of capital gains (in thousands of dollars)
    Column 14 – Percent of capital gains reported by taxfilers with a total income under $20,000
    Column 15 – Percent of capital gains reported by taxfilers with a total income between $20,000 and $39,999
    Column 16 – Percent of capital gains reported by taxfilers with a total income between $40,000 and $59,999
    Column 17 – Percent of capital gains reported by taxfilers with a total income between $60,000 and $79,999
    Column 18 – Percent of capital gains reported by taxfilers with a total income of $80,000+

    Canadian Taxfilers (product #17C0010)

    This databank provides a demographic and income profile of all Canadians who filed a personal tax return in the reference year.

    The content of the databank is as follows:

    Table 1: Summary
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Number of taxfilers
    Column 7 – Percent of taxfilers 0-24 years of age
    Column 8 – Percent of taxfilers 25-34 years of age
    Column 9 – Percent of taxfilers 35-44 years of age
    Column 10 – Percent of taxfilers 45-54 years of age
    Column 11 – Percent of taxfilers 55-64 years of age
    Column 12 – Percent of taxfilers 65+ years of age
    Column 13 – Average age of taxfilers
    Column 14 – Median total income of taxfilers
    Column 15 – 75th percentile of total income of taxfilers
    Column 16 – 85th percentile of total income of taxfilers
    Column 17 – 95th percentile of total income of taxfilers
    Column 18 – Median employment income of taxfilers
    Column 19 – 75th percentile of employment income of taxfilers

    Table 2: Income Groups
    Column 1 – City identification number
    Column 2 – Postal area
    Column 3 – Postal walk (no longer available)
    Column 4 – Level of geography (see geography section)
    Column 5 – Place name
    Column 6 – Number of taxfilers
    Column 7 – Percent of taxfilers with total income less than $20,000
    Column 8 – Percent of taxfilers with total income between $20,000 and $39,999
    Column 9 – Percent of taxfilers with total income between $40,000 and $59,999
    Column 10 – Percent of taxfilers with total income between $60,000 and $79,999
    Column 11 – Percent of taxfilers with total income $80,000+
    Column 12 – Value of total income (in thousands of dollars)
    Column 13 – Percent of total income reported by taxfilers with total income less than $20,000
    Column 14 – Percent of total income reported by taxfilers with total income between $20,000 and $39,999
    Column 15 – Percent of total income reported by taxfilers with total income between $40,000 and $59,999
    Column 16 – Percent of total income reported by taxfilers with total income between $60,000 and $79,999
    Column 17 – Percent of total income reported by taxfilers with total income $80,000+

    Charitable Donations (product #13C0014)

    Line 340 – Allowable charitable donations and government gifts

    This databank provides information on taxfilers classified as charitable donors. Charitable donors are defined as taxfilers reporting donations on line 340 of the tax return.

    Canadians contribute in many ways to charitable organizations. The databank on charitable donors provides information on taxfilers who claimed a tax credit for charitable donations on their income tax return in the reference year. These data may include donations that might be denied by the Canada Revenue Agency (CRA) after an audit. To find out more about why donations might be denied (i.e. tax shelter gifting arrangements, false receipting) please go to the Canada Revenue Agency website: www.cra-arc.gc.ca

    Persons making charitable donations, but not reporting them on their personal tax return are not included in this databank. These include donations for which no receipt was provided and donations for which the receipt was lost. No estimate of such donations is included in these data.

    Only donations made to approved organizations are allowable as deductions in the tax system. Donations are eligible if made to Canadian registered charities and Canadian amateur athletic associations. They are also eligible if made to: prescribed universities outside Canada; certain tax exempt housing organizations in Canada; Canadian municipalities; the United Nations; and certain charities outside Canada to which the Government of Canada has made a gift.

    It is possible to carry donations forward for up to five years after the year in which they were made. In the reference year, it is possible to claim donations made in any of the previous five years, as long as they were not already claimed in a prior year. The donations made in the reference year could be claimed the same year, or could be carried forward to any of the next five years. According to tax laws, taxfilers are permitted to claim both their donations and those made by their spouses to get better tax benefits. Consequently, the number of persons who made charitable donations may be higher than the number who claimed tax credits.

    A change in tax regulations was introduced in 2007. Taxfilers contributing to a recognized charity (as outlined above) were eligible to claim a tax credit of 15% of their donations on the first $200, and 29% on the rest. In 2006, the tax credit was 15.25% on the first $200 and 29% on the rest. In 2005, the tax credit was 15% on the first $200 and 29% on the rest. From 2001 to 2004, the tax credit was 16% on the first $200 and 29% on the rest. From 1992 to 2000, the tax credit was 17% on the first $200 and 29% on the rest. Previously, taxfilers had to give $250 to charity before the 29% credit was available.

    The content of the databank is as follows:

    Table 1: Summary
    Column 1 - City identification number
    Column 2 - Postal area
    Column 3 - Postal walk (no longer available)
    Column 4 - Level of geography (see Geography section)
    Column 5 - Place name
    Column 6 - Total Number of taxfilers
    Column 7 - Number of charitable donors
    Column 8 - Average age of donors
    Column 9 - Average donation for age group 0-24
    Column 10 - Average donation for age group 25-34
    Column 11 - Average donation for age group 35-44
    Column 12 - Average donation for age group 45-54
    Column 13 - Average donation for age group 55-64
    Column 14 - Average donation for age group 65+
    Column 15 - Total amount of charitable donations (thousands of $)
    Column 16 - Median donation
    Column 17 - Median total income of donors
    Column 18 - 75th percentile of donors' total income

    Table 2: Age and Sex (new beginning with 1995)
    Column 1 - City identification number
    Column 2 - Postal area
    Column 3 - Postal walk (no longer available)
    Column 4 - Level of geography (see Geography section)
    Column 5 - Place name
    Column 6 - Total Number of taxfilers
    Column 7 - Percent of taxfilers who are male
    Column 8 - Percent of taxfilers who are female
    Column 9 - Number of charitable donors
    Column 10 - Percent of charitable donors who are male
    Column 11 - Percent of charitable donors who are female
    Column 12 - Percent of donors 0 - 24 years of age
    Column 13 - Percent of donors 25 - 34 years of age
    Column 14 - Percent of donors 35 - 44 years of age
    Column 15 - Percent of donors 45 - 54 years of age
    Column 16 - Percent of donors 55 - 64 years of age
    Column 17 - Percent of donors 65+ years of age
    Column 18 - Total median donation
    Column 19 - Median donation of males
    Column 20 - Median donation of females
    Column 21 - Total amount of charitable donations (thousands of $)
    Column 22 - Total amount of charitable donations for males (thousands of $)
    Column 23 - Total amount of charitable donations for females (thousands of $)

    Table 3: Income Groups (new beginning with 1997)
    Column 1 - City identification number
    Column 2 - Postal area
    Column 3 - Postal walk (no longer available)
    Column 4 - Level of geography (see Geography section)
    Column 5 - Place name
    Column 6 - Total number of taxfilers
    Column 7 - Total number of charitable donors
    Column 8 - Percent of charitable donors with total income less than $20,000
    Column 9 - Percent of charitable donors with total income between $20,000 and $39,999
    Column 10 - Percent of charitable donors with total income between $40,000 and $59,999
    Column 11 - Percent of charitable donors with total income between $60,000 and $79,999
    Column 12 - Percent of charitable donors with total income $80,000+
    Column 13 - Total value of charitable donations (in thousands of dollars)
    Column 14 - Percent of donations reported by donors with total income under $20,000
    Column 15 - Percent of donations reported by donors with total income between $20,000 and $39,999
    Column 16 - Percent of donations reported by donors with total income between $40,000 and $59,999
    Column 17 - Percent of donations reported by donors with total income between $60,000 and $79,999
    Column 18 - Percent of donations reported by donors with total income $80,000+

    Data Source

    The financial databanks are derived from income tax returns. For the most part, tax returns were filed in the spring of the year following the reference year. For example, for the 2011 tax year, income tax returns were filed by April 30, 2012.

    The mailing address at the time of filing is the basis for the geographic information in the tables.

    Demographic characteristics such as age are given as of December 31 of the tax year. Income information is for the calendar year under review.

    Data Frequency

    Data are updated on an annual basis.

    Data Quality

    i) Number of Canadian taxfilers

    The data used are direct counts from tax files.  For the 2011 tax year, 25.4 million Canadians or 73.0% filed tax returns.

    Figure 2 – Number of Canadian Taxfilers

    Tax year Number of taxfilers ('000) Date of population estimate Population ('000) Coverage (%)
    1991 18,786 April 1, 1992 28,270 66.5
    1992 19,267 April 1, 1993 28,601 67.4
    1993 19,882 April 1, 1994 28,907 68.8
    1994 20,184 April 1, 1995 29,212 69.1
    1995 20,536 April 1, 1996 29,514 69.6
    1996 20,772 April 1, 1997 29,818 69.7
    1997 21,113 April 1, 1998 30,080 70.2
    1998 21,431 April 1, 1999 30,315 70.7
    1999 21,893 April 1, 2000 30,594 71.6
    2000 22,249 April 1, 2001 30,911 72.0
    2001 22,804 April 1, 2002 31,252 73.0
    2002 22,968 April 1, 2003 31,548 72.8
    2003 23,268 April 1, 2004 31,846 73.1
    2004 23,625 April 1, 2005 32,143 73.5
    2005 23,952 April 1, 2006 32,471 73.8
    2006 24,258 April 1, 2007 32,818 73.9
    2007 24,624 April 1, 2008 33,191 74.2
    2008 24,987 April 1, 2009 33,604 74.4
    2009* 24,321 April 1, 2010 34,002 71.5
    2010* 24,495 April 1, 2011 34,368 71.3
    2011* 24,842 April 1, 2012 34,754 71.5

    Percent coverage is based on a comparison of the number of taxfilers in the Income Statistics Division's taxfilers databank and the population estimates from the Statistics Canada CANSIM table 051-0005, now available on the Statistics Canada web site.

    * Since 2009, the count of tax filers is based on the T1 preliminary tax file from the Canada Revenue Agency.

    ii) Elderly population

    Some elderly Canadians receiving only Old Age Security and Guaranteed Income Supplement do not file because they have low or no taxable income. However, with the introduction of the Federal Sales Tax (FST) Credit in 1986 and the Goods and Services Tax (GST) Credit in 1990, the percentage of the elderly population filing tax returns has increased.

    iii) Low Income

    Persons with low income have no tax liability and are not required to file tax returns. However, with the introduction of the Child Tax Credit in 1978, the Federal Sales Tax (FST) Credit in 1986, the Goods and Services Tax (GST) Credit in 1990, and the Child Tax Benefits in 1993, persons with low income are likely to file tax returns to apply for these credits.

    Confidentialityand Rounding

    Over the years since its creation, the T1 Family File (T1FF) has become known as a reliable, annual source for income and demographic estimates. To protect the confidentiality of Canadians, all data are subject to the confidentiality procedures of rounding and suppression.

    Developmental work and testing resulted in different confidentiality procedures that were applied to the Financial and Charitable Donors databank for the reference year 2007; it consisted of introducing a certain distortion in the data instead of using the suppression method. However, when the new methodology was applied to the data of the other standard products of Income Statistics Division, the distortion component was no more an option due to the complexity of all the other databanks. Therefore, in an effort to harmonize the confidentiality rules across all the standard products of Income Statistics division, it has been decided to revert back to the suppression rules.

    These measures maintain the confidentiality of the data. All counts are rounded. Rounding may increase, decrease, or cause no change to counts. Rounding can affect the results obtained from calculations. For example, when calculating percentages from rounded data, results may be distorted as both the numerator and denominator have been rounded. The distortion can be greatest with small numbers.

    All reported amounts are rounded to the nearest $5,000 dollars.

    Since 1990, data cells represent counts of 15 or greater, and are rounded to a base of 10. For example, a cell count of 15 would be rounded to 20 and a cell count of 24 would be rounded to 20.

    Note: Counts represent the number of persons.
    Reported amounts are aggregate dollar amounts reported.

    In the data tables:

    Medians, Percentiles and Average amount are rounded to the nearest ten dollars.

    Percentages are published with no decimal and calculated on rounded data; therefore, the sum of percentages might not equal 100% in the case of small counts.

    Suppressed Data

    To maintain confidentiality, data cells have been suppressed whenever:

    • areas comprise less than 100 taxfilers;
    • cells represent less than 15 taxfilers;
    • cells were dominated by a single filer;

    Suppressed data may occur:

    i) Within one area:

    • when one of the income categories is suppressed, a second category must also be suppressed to avoid disclosure of confidential data by subtraction (called residual disclosure);
    • when one of the gender categories is suppressed, the other gender category must also be suppressed to avoid residual disclosure;
    • when one age group category is suppressed, another age group must also be suppressed to avoid residual disclosure.

    ii) Between areas:

    • when a variable amount in one area is suppressed, that variable amount is also suppressed in another area to prevent disclosure by subtraction.

    Glossary of Terms

    75th percentile

    Total income values are ranked from highest to lowest and the value reported as being the 75th percentile indicates that 25% of the taxfilers report an income equal or above that amount and 75% fall below. Percentiles are calculated for each geographical level.

    For example, if the 75th percentile of total income is shown as $60,000 this means that 25% of the population under review has a total income greater than or equal to $60,000 and 75% of the population has a total income less than or equal to $60,000.

    85th percentile

    Starting with the 2007 data, the dollar value of the 85th percentile appears in the tables instead of the percentage above the 85th percentile like it was in previous years. Total income values are ranked from highest to lowest and the value reported as being the 85th percentile indicates that 15% of the taxfilers report an income equal or above that amount and 85% fall below. Percentiles are calculated for each geographical level.

    For example, if the 85th percentile of total income is shown as $65,000 this means that 15% of the taxfilers has a total income greater than or equal to $65,000

    95th percentile

    Starting with the 2007 data, the dollar value of the 95th percentile appears in the tables instead of the percentage above the 95th percentile like it was in previous years. Total income values are ranked from highest to lowest and the value reported as being the 95th percentile indicates that 5% of the taxfilers report an income equal or above that amount and 95% fall below. Percentiles are calculated for each geographical level.

    For example, if the 95th percentile of total income is shown as $90,000 this means that 5% of the population under review has a total income greater than or equal to $90,000

    Age

    Calculated as of December 31 of the reference year (i.e., tax year minus year of birth).

    Capital Gains

    Line 127 of the T1 income tax return shows "taxable capital gains" or half of the capital gains actually received.  The information in this databank has been grossed up to represent the total capital gains received.

    Charitable donation

    Is the allowable portion of total donations, as reported on the income tax return.

    Charitable donor

    Is defined as a taxfiler reporting a charitable donation amount on line 340 of the personal income tax form.

    CityID

    Since municipality names can be, in some cases, quite long and cumbersome for handling in electronic files, municipalities are given a "city identification number". Starting in 2007, the CityID is a five digits alpha-numeric component. It is created with the first letter of Postal CodeOM followed by "9" and a four digits number. Each first letter of Postal Code is allocated a range of number from 1 to 9999 (more explanation in geography section).

    Deferred profit sharing plan (DPSP)

    An employer-sponsored savings plan registered by the Canada Revenue Agency. Contributions to these plans by the employer (employees cannot contribute) are based on profits. The amount accumulated in these plans can be paid out as a lump sum at retirement or termination of employment, transferred to an RRSP, received in instalments over a period not to exceed ten years, or used to purchase an annuity.

    Dividend income

    Includes taxable amount of dividends (eligible and other than eligible) received from taxable Canadian corporations (as stocks or mutual funds) as reported on line 120 of the personal income tax return, and then grossed down to the actual amounts received; dividend income does not include dividends received from foreign investments (which are included in interest income and reported on line 121).

    Earned income

    The income used to determine the RRSP deduction limit. It includes such items as employment income (less union dues and expenses), net business and rental income, disability payments and alimony received. Alimony payments, current year business and rental losses are deducted from this amount. Most investment income (other than rents) is not considered earned income. In calculating the RRSP deduction limit, earned income from the previous year is used.

    Employment income

    The total reported employment income. Employment income includes wages and salaries, commissions from employment, training allowances, tips and gratuities, and self-employment income (net income from business, profession, farming, fishing and commissions) and Indian Employment Income (new in 1999).

    Interest income

    Amounts Canadians claimed on line 121 of the personal income tax return. This amount includes interest generated from bank deposits, Canada Savings Bonds, corporate bonds, treasury bills, investment certificates, term deposits, annuities, mutual funds, earnings on life insurance policies and all foreign interest and foreign dividend incomes.

    Investment income

    Includes both interest income and dividend income.

    Investors

    Taxfilers who reported dividend income on line 120 of their personal tax return. They may or may not have also reported interest and other investment income on line 121. When such income is reported on line 121, this amount is added to the amount of dividend income received, and the sum becomes the investment income of the investor.

    Level of geography

    A code designating the type of geographic area to which the information in the table applies. See the section on Geography for further information.

    Median

    The middle number in a group of numbers. Where a median income, for example, is given as $26,000, it means that exactly half of the incomes reported are greater than or equal to $26,000, and that the other half is less than or equal to the median amount. With the exception of "Total Income", zero values are not included in the calculation of medians for individuals.

    New room

    For 2011 this amount is calculated as 18% of 2010 earned income (from definition above) to a maximum of 22,450 minus pension adjustment (PA) minus past service pension adjustment (PSPA). Since the focus of these data is for net new room for potential RRSP contributions, PA and/or PSPA details will be omitted.

    Past service pension adjustment (PSPA)

    Applies only to members of defined benefit RPPs. A PSPA occurs when the pension benefit is upgraded, or additional credits purchased, for service in past years. In the first case, it is called an exempt (from certification) PSPA; in the second case, a certifiable PSPA. Only service after 1989 is considered.

    Pension adjustment (PA)

    Calculated value of the pension accrued in the year in an RPP or a DPSP. The PA decreases the RRSP deduction limit. To calculate this limit, the PA from the previous year is used.

    Registered disability savings plan income (RDSP)

    It consists of an individual disability savings plan governed by RRSP investment rules. Private contributions that can be made by anyone are subject to a lifetime limit of $200,000. They will be matched in some degree by government contributions; the lifetime limit is $90,000. Contributions are not deductible and income earned in the plan will not be taxed while in the plan.

    Registered pension plan ( RPP )

    An employer-sponsored plan registered with the Canada Revenue Agency and most commonly also with one of the pension regulatory authorities. The purpose of such plans is to provide employees with a regular income at retirement. The two main types of RPPs are called defined benefit (where the benefit formula is specified) and defined contribution (where only the contribution formula is defined).

    Registered retirement savings plan (RRSP)

    An individual retirement savings plan that is registered by the Canada Revenue Agency. It permits limited contributions, and income earned in the RRSP is exempt from tax until payments are received from the plan.

    Savers

    Taxfilers who reported interest and investment income on line 121 of the personal income tax return, but no dividend income on line 120.

    Taxfiler

    Individual who filed a personal income tax return for the reference year.

    Total income

    The reported amounts of income by taxfilers from any of the following sources:

    • Labour force income;
      • Employment income;
        • Wages, salaries and commissions;
        • Other employment income as reported on line 104 of the tax form (tips, gratuities, royalties, etc.);
        • Net self-employment income;
        • Status Indian exempt self-employment income (beginning 2010);
        • Indian Employment Income (beginning in 1999);
      • Employment Insurance (EI) benefits;
    • Pension income;
      • Old Age Security/Net Federal Supplements (the latter including guaranteed income supplements and spouses' allowances since 1994);
      • Canada/Quebec Pension Plans;
      • Superannuation and other (private) pensions;
    • Family Allowance benefits (up to and including 1992);
    • Interest and other investment income;
    • Dividend income;
    • RRSP income (since 1999, for taxfilers 65+ only);
    • Net limited partnership income;
    • Alimony;
    • Net rental income;
    • Other income (e.g. incomes reported on line 130, such as fellowships, bursaries, grants, etc.);
    • Federal Sales Tax (FST) credit (for 1989-1990 inclusive);
    • Goods and Services Tax (GST) credit (beginning in 1990);
    • Harmonized Sales Tax (HST) credit (beginning in 1997);
    • Child tax credit (up to and including 1992);
    • Canada child tax benefit (starting with 1993);
    • Provincial refundable tax credits (beginning in 1994);
    • Other non-taxable income (beginning in 1993);
      • Workers' compensation payments;
      • Social assistance payments;
      • Guaranteed income supplements;
      • Spouses' allowances;
    • Universal child care benefit (both claimed by filer and designated to child) (beginning in 2006);
    • Registered disability savings plan income (beginning in 2008)
    • Working income tax benefit (starting with 2010)

    Total room (in thousands of dollars)

    The sum of "new room" and "unused room" as defined here.

    Total room (number of persons)

    The number of taxfilers who have either unused room from previous years, new room based on their earned income, or both. The number of persons with total room does not correspond to the sum of persons with new room and unused room, as an individual can be included in both categories.

    Universal Child Care Benefit

    Beginning in July 2006, the Universal Child Care Benefit (UCCB) is a taxable amount of $100 paid monthly for each child under 6 years of age. Included in CanadaChild Tax Benefits in the statistical tables.

    Unused RRSP contribution room (unused room)

    The amount of the RRSP deduction limit that is not claimed by the taxfiler, or the amount remaining after subtracting actual contributions claimed on the tax return from that year's contribution room. Unused room can be carried forward indefinitely. The first year of unused room is from 1991 (see table).

    Statistical Tables - Footnotes and Historical Availability

    RRSP Contributors

    1. Table 1 is available in its current format starting with the 1990 data, according to the postal geography. Census metropolitan areas (CMAs) are available starting with the 1993 data, census divisions (CDs) with the 1994 data and federal electoral districts (FEDs) with the 1997 data.
    2. Table 2 (age groups) and table 3 (sex) are available in their current formats starting with the 1994 data, for postal areas, CMAs, CDs and FEDs (since 1997). Some changes were made to the age groupings over the years.
    3. Table 4 (income groups) is available in its current format starting with the 2007 data, for postal areas, CMAs, CDs and FEDs. From 1997 to 2006, the income groups were cumulative.

    RRSP Contribution Limits (Room)

    1. Both tables are available in their current format starting with the 1993 data.
    2. Data are available for all levels of the postal geography starting with the 1993 tax year.
    3. Data for census metropolitan areas (CMAs) are available starting with the 1993 tax year (1994 room), census divisions (CDs) with the 1994 tax year (1995 room) and federal electoral districts (FEDs) with the 1997 tax year (1998 room).
    4. The figures in Table 2 ($500, $2,400, $4,700, $7,800 and $13,000) represent the 25th, 50th, 75th, 90th and 97th percentiles of new room and are recalculated periodically.

    Canadian Savers

    1. Table 1 is available in its current format starting with the 1990 data, according to the postal geography. Census metropolitan areas (CMAs) are available starting with the 1993 data, census divisions (CDs) with the 1995 data and federal electoral districts (FEDs) with the 1997 data.
    2. Table 2 (age groups) and table 3 (sex) are available in their current formats starting with the 1995 data, for postal areas, CMAs, CDs and FEDs (since 1997). Some changes were made to the age groupings over the years.
    3. Table 4 (income groups) is available in its current format starting with the 2007 data, for postal areas, CMAs, CDs and FEDs. From 1997 to 2006, the income groups were cumulative.

    Canadian Investors

    1. Table 1 is available in its current format starting with the 1990 data, according to the postal geography. Census metropolitan areas (CMAs) are available starting with the 1993 data, census divisions (CDs) with the 1995 data and federal electoral districts (FEDs) with the 1997 data.
    2. The proportion of investment income from dividends is available starting with the 1996 data (Table 1).
    3. Table 2 (age groups) and table 3 (sex) are available in their current formats starting with the 1995 data, for postal areas, CMAs, CDs and FEDs (since 1997). Some changes were made to the age groupings over the years.
    4. Table 4 (income groups) is available in its current format starting with the 2007 data, for postal areas, CMAs, CDs and FEDs. From 1997 to 2006, the income groups were cumulative.

    Canadian Investment Income

    1. Table 1 is available in its current format starting with the 1990 data, according to the postal geography. Census metropolitan areas (CMAs) are available starting with the 1993 data, census divisions (CDs) with the 1995 data and federal electoral districts (FEDs) with the 1997 data.
    2. Table 2 (age groups) and table 3 (sex) are available in their current formats starting with the 1995 data, for postal areas, CMAs, CDs and FEDs (since 1997). Some changes were made to the age groupings over the years.
    3. Table 4 (income groups) is available in its current format starting with the 2007 data, for postal areas, CMAs, CDs and FEDs. From 1997 to 2006, the income groups were cumulative.

    Canadian Capital Gains

    1. The standard table on capital gains by income group is available in its current format starting with the 2007 data. From 1998 data up to 2006, the income groups were cumulative.
    2. All levels of geography are available since the 1998 data, including census divisions, census metropolitan areas, federal electoral districts and all levels of the postal geography.

    Canadian Taxfilers

    1. Table 1 is available in its current format starting with the 1990 data, according to the postal geography. Census metropolitan areas (CMAs) are available starting with the 1993 data, census divisions (CDs) with the 1995 data and federal electoral districts (FEDs) with the 1997 data.
    2. Starting with the 2007 data, the column on the "% reporting in French" in table 1 has been suppressed.
    3. Table 2 (income groups) is available in its current format starting with the 2007 data, for postal areas, CMAs, CDs and FEDs. From 1997 to 2006, the income groups were cumulative.

    Charitable Donations

    1. Table 1 (summary) is available starting with the 1990 data, according to the postal geography. Census metropolitan areas (CMAs) are available starting with the 1993 data, census divisions (CDs) with the 1995 data and federal electoral districts (FEDs) with the 1997 data.
    2. Changes were made to the age groups in table 1 in 1991 and in 1997.
    3. Table 2 (age groups) is available starting with the 1995 data, for the postal geography and for CMAs. CDs are available starting with the 1995 data and FEDs with the 1997 data.
    4. Changes were made to the age groups in table 2 in 1997.
    5. Table 3 (Income groups) is available in its current format starting with the 2007 data, for the postal geography, for CMAs, CDs and FEDs. From 1997 to 2006, the income groups were cumulative.

    Geography

    The data are available for the following geographic areas. See "Statistical Tables - Footnotes and Historical Availability" for further details. The mailing address at the time of filing is the basis for the geographic information in the tables.

    Postal Geography

    • Canada
    • Provinces and territories
    • Cities
    • Urban Forward Sortation Areas (excludes rural routes and suburban services areas within cities)
    • Rural Postal Code

    Some postal geography levels such as Postal Walks are no longer available for this data.

    Census Geography

    • Economic Regions
    • Census Divisions
    • Census Metropolitan Areas
    • Census Agglomerations
    • Census Tracts
    • Federal Electoral Districts

    User-defined areas:

    Users may select a specific area of interest that is not a standard area for which data can be made available in standard format. To obtain data, provide us with a list of the Postal Codes for which data are required and we will provide the aggregated data. Of course, the area must satisfy our confidentiality requirements, or no data can be produced. See the "Special Geography" section for further information.

    Geographic Levels – Postal Geography

    The various data compiled from the taxfile are available for different levels of the postal geography, and for some levels of the Census geography. Coded geographic indicators appearing on the data tables are shown below with a brief description.

    Level of Geography (L.O.G.) Postal Area Description
    12 Canada This level of data is an aggregation of the provincial/territorial totals (code 11). The national total is identified by the region code Z99099.
    11 Province or Territory Total

    This level of data is an aggregation of the following geographies within a province:

    City Totals (Code 08)
    Rural Communities(Code 09)
    Other Provincial Totals (Code 10)

    These totals are identified by a provincial/territorial postal letter, then a "990" followed by the province/territory code, as follows:

    Newfoundland and Labrador (A99010)
    Nova Scotia (B99012)
    Prince Edward Island (C99011)
    New Brunswick (E99013)
    Quebec (J99024)
    Ontario (P99035)
    Manitoba (R99046)
    Saskatchewan (S99047)
    Alberta (T99048)
    British Columbia (V99059)
    Northwest Territories (X99061)
    Nunavut (X99062)
    Yukon Territory (Y99060)

    10 Other Provincial Total ("P" Pot)

    This level of data is an aggregation of small communities in the province that had less than 100 taxfilers, where these communities are combined into a "pot". Before 1992, it was identified by the same codes as the provincial/territorial totals, and only the "Delivery Mode" codes 2 and 3 distinguished between the two. To avoid this problem, starting with the 1992 data, an "8" appears after the provincial/territorial letter instead of a "9". The "9" will be reserved for the provincial/territorial total, as explained in 11 above. These "pot" codes are as follows:

    Newfoundland and Labrador (A89010)
    Nova Scotia (B89012)
    Prince Edward Island (C89011)
    New Brunswick (E89013)
    Quebec (J89024)
    Ontario (P89035)
    Manitoba (R89046)
    Saskatchewan (S89047)
    Alberta (T89048)
    British Columbia (V89059)
    Northwest Territories (X89061)
    Nunavut (X89062)
    Yukon Territory (Y89060)

    09 Rural Communities
    (Not in City )

    For data obtained prior to reference year 2011, this level of geography was called "Rural Postal Codes (Not in a City)".

    This level of geography pertains to rural communities that have one and only one rural Postal Code. Rural Postal Code can be identified by a "zero" in the second position of the Postal Code. For this level of geography, only the name of the community appears with the disseminated data. The actual rural Postal Code is not displayed with the disseminated data.

    The 2011 databanks contain 3,982 areas coded as level of geography 09.

    08 City Total

    This level of data is an aggregation of the following geographies for unique place names within a province/territory:

    Urban FSA (Residential) (Code 03)
    Rural Route (Code 04)
    Suburban Services (Code 05)
    Rural Postal Code Areas (within city) (Code 06)
    Other Urban Area (Code 07)

    As of 2011, data for L.O.G. 04 and 05 are suppressed but included in the city totals.

    They have the following format: e.g., Edmonton = T95479; Regina = S94876. The pattern is the postal letter of the city plus "9" in the second position (indicating a total), followed by a 4 digit numeric code for the community (often called "CityID").

    In general, postal cities do not coincide with census subdivisions.

    The 2011 databanks contain 1,640 areas coded as level of geography 08.

    07 Other Urban Area (Non-residential within city - "E" Pot)

    This aggregation of data (or "pot") covers non-residential addresses within an urban centre and all other data not otherwise displayed. Commercial addresses, post office boxes and general delivery are included, as are residential addresses with too few taxfilers to report separately. They can be recognized by codes that are similar to the city totals, with a distinguishing difference: an "8" will follow the city postal letter rather than the "9" of the city total (e.g., Edmonton = T85479; Regina = S84876).

    The 2011 databanks contain 454 areas coded as level of geography 07.

    06 Rural Postal Code Areas (Within City)

    For data obtained prior to reference year 2011, this level of geography was called "Rural Postal Codes (Within a City)".

    These data pertain to rural Postal Codes that belong to communities with more than one rural Postal Code . These occur in areas that were formerly serviced by rural delivery service and changed by Canada Post to urban delivery service or in communities served by more than one rural Postal Code. Rural Postal Codes can be identified by a "zero" in the second position of the Postal Code. Although data is disseminated individually for each rural Postal Codes associated with a community, only the community name appears with the disseminated data. The actual rural Postal Codes are not displayed with the disseminated data. Therefore, for this level of geography, community names will appear more than once.

    The 2011 databanks contain 559 areas coded as level of geography 06.

    05 Suburban Service

    No longer available.

    Sparsely populated fringe areas of urban centres may receive their postal service from an urban post office by delivery designated as "suburban service". Their region code retains all six characters of the Postal Code. Suburban Services are usually near or on the perimeters of urban areas, and mail is delivered by a contractor to group mail boxes, community mail boxes and/or external delivery sites (e.g., kiosks, miniparks).

    04 Rural Route

    No longer available.

    Reasonably well-settled rural areas may receive their postal service from an urban post office by delivery designated as "rural route". Mail is delivered by a contractor to customers living along or near well-defined roads. Their region code retains all six characters of the Postal Code.

    03 Urban FSA (Residential Area)

    The urban Forward Sortation Area (FSA, identified by the first three characters of the Postal Code) includes all residential addresses covered by the first three characters of a Postal Code in a particular urban area (not including levels 04 and 05). Only residential FSAs are considered for these databanks.

    An Urban FSA of this type can be identified by the FSA followed by three blanks. One FSA can be split in different parts if it is associated with more than one city.

    The 2011 databanks contain 2,428 areas coded as level of geography 03.

    02 Other Postal Walk

    No longer available.

    This level of data is an aggregation of urban residential Postal Codes unallocated to a letter carrier route and postal walks with less than 100 taxfilers. A postal walk record of this type can be identified by the FSA followed by three blanks, and the postal walk number "XXXX".

    01 Postal Walk

    No longer available.

    This is the finest level of data and is an aggregation of urban residential Postal Codes allocated to a letter carrier route. A postal walk of this type can be identified by a region code which is the FSA followed by three blanks, and the postal walk number. An average FSA contains 11 walks.

     

    Adding Postal Areas Without Duplication

    Data files according to the postal geography will often contain subtotals and totals. Many data users need to add certain geographies in order to come up with a total for their particular area of interest. However, including subtotals during this process results in double-counting some populations, and this leads to an erroneous total. The following is a summary of which postal areas are aggregations in the standard postal geography.

    Postal walks (Level of Geography, or LOG 1) and walk pots (LOG 2) add up to urban Forward Sortation Areas (FSAs, LOG 3).

    Urban FSAs (LOG 3), rural routes (LOG 4), suburban services (LOG 5), rural Postal Code areas within a city (LOG 6) and other urban areas (LOG 7) add up to city totals (LOG 8).

    City totals (LOG 8), rural communities not in a city (LOG 9) and other areas in a province (LOG 10) add up to provincial/territorial totals (LOG 11).

    Provincial/territorial totals (LOG 11) add up to the Canada total (LOG 12).

    Thus, using the Level of geography codes:
    1 + 2 = 3
    3 + 4 + 5 + 6 + 7 = 8
    8 + 9 + 10 = 11

    Geography for small area and administrative data

    Description: Geography for small area and administrative data

    City identification number (CityID)

    As of 2007, CityID has been modified.

    Previous to 2007:

    1. CityID was a 4 digits number
    2. Each municipality had a unique number between 1 and 9999
    3. Almost every number was allocated to a municipality. Few numbers remained available for future new municipalities.

    Starting with 2007data:
    To create more possibilities without changing the CityID length in our systems:

    1. CityID number is now combined with 1st letter of Postal Code
    2. Each 1st letter of Postal Code has a possibility of numbers, ranged from 1 to 9999 (Table 2)
    3. Old numbers have been kept for existing municipality and 1st letters of Postal Code have been added to them (Table 1)
    4. New municipalities have been assigned a new CityID number in new format (Table 1)
    Table 1
    Postal Code Municipality name 2006 and Prior 2007 and Follow
    K1A 1K6 Ottawa 2434 K2434
    G3C 0A1 Stoneham-et-Tewkesbury n/a G2

     

    Table 2
    Province Letter file Range of number
    Newfoundland & Labrador A 1 – 9999
    Prince Edward Island C 1 – 9999
    Nova Scotia B 1 – 9999
    New Brunswick E 1 – 9999
    Quebec G 1 – 9999
    Quebec H 1 – 9999
    Quebec J 1 – 9999
    Ontario K 1 – 9999
    Ontario L 1 – 9999
    Ontario M 1 – 9999
    Ontario N 1 – 9999
    Ontario P 1 – 9999
    Manitoba R 1 – 9999
    Saskatchewan S 1 – 9999
    Alberta T 1 – 9999
    British Columbia V 1 – 9999
    Yukon Y 1 – 9999
    Northwest Territories X 1 – 9999
    Nunavut X 1 – 9999

    Therefore, it is now essential to identify a municipality by adding the Postal Code 1st letter to the number in order to get the proper municipality in the proper province (Table 3):

    Table 3
    Letter Number Municipality name Province
    A 2 Avondale NL
    B 2 Bible Hill NS
    T 2 Rocky View AB
    G 2 Stoneham-et-Tewkesbury QC

    Geographic Levels – Census Geography

    Data are also available for the following levels of the Census geography; the following table shows the coded designators for these geographies, as well as a brief description of each.

    Level of Geography (L.O.G.) Name Description
    61 Census Tract

    Census tracts (CTs) are small geographic units representing urban or rural neighbourhood-like communities in census metropolitan areas (see definition below) or census agglomerations with an urban core population of 50,000 or more at time of 1996 Census. CTs are delineated by a committee of local specialists (such as planners, health and social workers and educators) in conjunction with Statistics Canada.

    The 2011 databanks contain 4,992 areas coded as level of geography 61, based on 2006 Census.

    51 Economic Region

    An economic region is a grouping of complete census divisions (see definition below) with one exception in Ontario. Economic regions (ERs) are used to analyse regional economic activity. Within the province of Quebec, ERs are designated by law. In all other provinces, they are created by agreement between Statistics Canada and the provinces concerned. Prince Edward Island and the territories each consist of one economic region.

    The 2011 databanks contain 76 areas coded as level of geography 51, based on 2006 Census.

    42 Census Agglomeration

    The general concept of a census agglomeration (CA) is one of a very large urban area, together with adjacent urban and rural areas that have a high degree of economic and social integration with that urban area. CAs have an urban core population of at least 10,000, based on the previous census.

    The 2011 databanks contain 117 areas coded as level of geography 42, based on 2006 Census.

    41 Census Metropolitan Area

    The general concept of a census metropolitan area (CMA) is one of a very large urban area, together with adjacent urban and rural areas that have a high degree of economic and social integration with that urban area. CMAs have an urban core population of at least 100,000, based on the previous census.

    There are 35 CMAs in the 2011 databanks (2006 Census):

    001, St. John's, Newfoundland
    205, Halifax, Nova Scotia
    305, Moncton, New Brunswick
    310, Saint John, New Brunswick
    408, Saguenay, Québec
    421, Québec, Québec
    433, Sherbrooke, Québec
    442, Trois-Rivières, Québec
    462, Montréal, Québec
    505, Ottawa-Gatineau (Québec part)
    505, Ottawa-Gatineau (Ontario part)
    505, Ottawa-Gatineau (Combined)
    521, Kingston, Ontario
    529, Peterborough, Ontario
    532, Oshawa, Ontario
    535, Toronto, Ontario
    537, Hamilton, Ontario
    539, St-Catharines-Niagara, Ontario
    541, Kitchener, Ontario
    543, Brantford, Ontario
    550, Guelph, Ontario
    555, London, Ontario
    559, Windsor, Ontario
    568, Barrie, Ontario
    580, Greater Sudbury, Ontario
    595, Thunder Bay, Ontario
    602, Winnipeg, Manitoba
    705, Regina, Saskatchewan
    725, Saskatoon, Saskatchewan
    825, Calgary, Alberta
    835, Edmonton, Alberta
    915, Kelowna, British Columbia
    932, Abbotsford-Mission, British Columbia
    933, Vancouver, British Columbia
    935, Victoria, British Columbia

    31 Federal Electoral District

    A federal electoral district (FED) refers to any place or territorial area represented by a member of Parliament elected to the House of Commons. There are 308 FEDs in Canada according to the 2003 Representation Order. The Representation Order is prepared by the Chief Electoral Officer describing, naming and specifying the population of each electoral district established by the Electoral Boundaries Commission and sent to the Governor in Council.

    The 2011 databanks contain 308 areas coded as level of geography 31, based on the 2006 Census.

    21 Census Division

    A census division (CD) is a group of neighbouring municipalities joined together for the purposes of regional planning and managing common services (such as police or ambulance services). A CD might correspond to a county, a regional municipality or a regional district.

    CDs are established under laws in effect in certain provinces and territories of Canada. In other provinces and territories where laws do not provide for such areas (Newfoundland, Manitoba, Saskatchewan and Alberta), Statistics Canada defines equivalent areas for statistical reporting purposes in cooperation with these provinces and territories.

    The 2011 databanks contain 288 areas coded as level of geography 21, based on the 2006 Census.

    Starting in 2008, Census divisions are identified in the tables by an eight digits code:
    2 first digits = Province
    2 next digits = Economic Region
    2 last digits = Census Division

    Geographic Levels – Special Geography

    Clients may select geographical areas of their own definition; areas that are not part of the standard areas listed here (for example, bank service areas, retail store catchment areas). For this, clients must submit a list of the Postal Codes that make up their special area, and we will aggregate the micro data to correspond to that area of interest. Information ordered for special, or "user-defined" areas will be coded according to the following:

    Level of Geography Name Description
    93 Total for all user-defined areas This level represents the sum total of all user-defined areas, and is the total of levels 91 and 92 described below.
    92 Other user-defined areas This level of geography represents all user-defined areas that were too small, in terms of population; to have information compiled on those areas individually (i.e. fewer than 100 taxfilers). Such areas are grouped into this "other" category.
    91 Special user-defined area Any area showing a code "91" is an area defined by a specific user according to that user's needs (for example, school catchment areas, health districts, etc.)

    Conversion files

    When a client is interested in purchasing data for areas that are considered non-standard geography by Income Statistics Division, a conversion file is usually necessary. A combination of Postal Codes making up one or more special area(s) is commonly referred to as a conversion file – an electronic file used by our staff to aggregate the different Postal Codes that make up the user-defined area. Simply provide us with the Postal Codes related to the area and we will compile the data (subject to our confidentiality restrictions).

    This would apply only to an area that is not a standard area. It could include any one or a combination of areas whose boundaries are a combination of standard areas or a combination of Postal Codes. User-defined areas may be branch service or school catchment areas, neighbourhoods or almost any other region.

    Each Postal Code on a conversion file is linked to a corresponding area code. The Postal Code is used as the basis for the tabulation of economic and demographic data for each area.

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    We are always working on ways to improve our products. The comments we receive concerning quality and presentation are essential to meet this objective. If you have any suggestions in this regard, we encourage you, the user, to provide us with your comments.

    Data in many forms

    Statistics Canada disseminates data in a variety of forms. In addition to publications, both standard and special tabulations are offered. Direct online access to aggregated information is possible through CANSIM, Statistics Canada's machine-readable database and retrieval system.

    How to obtain more information

    Inquiries about these data and related statistics or services should be directed to:

    Client Services
    Income Statistics Division
    Statistics Canada
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    Ottawa, Ontario K1A 0T6

    Telephone: (613) 951-7355
    Toll-Free (888) 267-7355
    Fax: (613) 951-3012
    Toll-Free (888) 267-7355
    income@statcan.gc.ca

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    You can also visit us on the web: http://www.statcan.gc.ca.

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    Statistics Canada is committed to serving its clients in a prompt, reliable and courteous manner and in the official language of their choice.  To this end, the agency has developed standards of service which its employees observe in serving its clients.  To obtain a copy of these service standards, please contact your nearest Statistics Canada Regional Reference Centre.

    Copyright

    Published by authority of the Minister responsible for Statistics Canada.

    © Minister of Industry, 2012

    All rights reserved. Use of this publication is governed by the Statistics Canada Open Licence Agreement.

    © This data includes information copied with permission from Canada Post Corporation

    List ofData Products Available

    The Income Statistics Division of Statistics Canada tabulates statistical data derived from administrative records - most notably, the taxfile.  The resulting demographic and socio-economic databanks available are listed in the table below, along with their identifying product number and the usual release dates.

    Product name Product number Release date
    RRSP Contributors 17C0006 Fall
    RRSP Contribution Limits (Room) 17C0011 Fall
    Canadian Savers 17C0009 Fall
    Canadian Investors 17C0007 Fall
    Canadian Investment Income 17C0008 Fall
    Canadian Taxfilers 17C0010 Fall
    Canadian Capital Gains 17C0012 Fall
    Charitable Donors 13C0014 Fall
    Neighbourhood Income and Demographics 13C0015 Spring
    Economic Dependency Profiles 13C0017 Spring
    Labour Income Profiles 71C0018 Spring
    Families 13C0016 Spring
    Seniors 89C0022 Spring
    Migration Estimates 91C0025 Fall