Police Administration Survey (PAS)
Detailed information for 2012
The objective of this survey is to collect baseline information on police personnel and expenditures to enable detection of historical trends as well as permit comparisons at the provincial/territorial and municipal levels. The data are intended for police services, for officials with responsibility for police budgets, for policy-makers with policing-related responsibilities, and for members of the general public.
Data release - March 20, 2013 (First in a series of releases for this reference period.)
This survey collects data from police services across Canada under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. All municipal, provincial and federal police services in Canada are surveyed.
Respondents provide the number of police officers employed by the service (full-time equivalents), categorized by rank (senior officers, non-commissioned officers, and constables) and by sex. Information on hirings, departures, and eligibility to retire is provided, as are data on the years of service, age, level of education at time of hire, and Aboriginal and visible minority status of police officers, and the official and non-official languages they speak. Police services also report their number of civilian employees, categorized by job type and by sex. Other questions collect data on operating expenditures broken down into salaries/wages, benefits, and other operating expenditures.
Data from this survey provide information on total expenditures on policing and the number of officers in each province and in Canada as a whole, as well as the number of officers per 100,000 population.
The data are intended for police services, for officials with responsibility for police budgets, for policy-makers with policing-related responsibilities, and for members of the general public.
The survey is currently administered as part of the National Justice Statistics Initiative (NJSI). Since 1981, the federal, provincial and territorial Deputy Ministers responsible for the administration of justice in Canada, with the Chief Statistician, have been working together in an enterprise known as the NJSI. The mandate of the NJSI is to provide information to the justice community as well as the public on criminal and civil justice in Canada. Although this responsibility is shared among federal, provincial and territorial departments, the lead responsibility for the development of Canada's statistical system remains with Statistics Canada.
- Crime and justice
- Justice system spending
Data sources and methodology
All Canadian municipal, provincial and federal police services that were active on May 15th of the survey year.
The target population and observed population are the same.
For municipal and provincial police services, a questionnaire is used. The questionnaire is a paper-and-pencil respondent-completed instrument. Some questions ask for a single number (e.g. the number of male constables or the dollar amount spent on salaries), while closed response questions are presented in the form of check-boxes. The Royal Canadian Mounted Police (RCMP) submit data electronically.
The last major revision to the Main survey questionnaire was done in 1996. Changes were made to both the personnel and the expenditure section of the questionnaire. A separate category for "school crossing guards" was added and adjustments were made to civilian personnel back to 1986 to reflect this change. Expenses associated with the purchasing and leasing of vehicles were to be included only if they were part of the operational budget of the police service. The "benefits" category was expanded to include those paid by other government sources. The removal of expenses due to the capital purchases of vehicles, and the addition of expenses due to the inclusion of benefits paid by other government sources were examined in detail. It was estimated that these revisions accounted for an overall change of less than 1% to reported expenses.
In 2003, 'Emergency "911" Services' was added as another category by which police services can identify the budget in which those services were included.
In 2012, the Police Administration Survey Program included the Supplemental survey for the first time. The questionnaire was designed and tested in collaboration with the policing community to address the need for more comprehensive data on the policing workforce. Statistics Canada's Questionnaire Design Resource Centre (QDRC) assisted with the design and testing of the questionnaire, which included focus group and pilot testing.
This survey is a census with a cross-sectional design.
Data are collected for all units of the target population, therefore, no sampling is done.
Data collection for this reference period: 2012-05-15 to 2012-10-31
Responding to this survey is mandatory.
Data are collected directly from survey respondents.
Main and Supplemental survey questionnaires have been developed to collect data on police resources. Data on the rank and sex of police officers, the job type and sex of civilian employees, and on police expenditures is collected through the Main questionnaire. Information on hirings, departures, and eligibility to retire is collected through the Supplemental questionnaire, as are data on the years of service, age, level of education at time of hire, Aboriginal and visible minority status of police officers, and the official and non-official languages they speak. Survey questionnaires are sent to all municipal and provincial police services across Canada. After completion, the questionnaires are returned to Statistics Canada for data capture and editing. The RCMP submit data in an electronic format, which is edited and merged with the data captured from the other respondents.
View the Questionnaire(s) and reporting guide(s).
Respondents have no difficulty in completing the survey due to the rudimentary level of information requested. Even though few respondent-generated errors are anticipated, a comprehensive set of edits has been devised which check various logical and year-to-year calculations. Data are captured and the first set of edits checks for legibility, verifies totals and compares the submitted data to the previous year (to check for any significant changes). In cases where the data provided is either not legible or exceeds predetermined tolerances, contact with the respondent is initiated to clarify survey responses. Edits are in place to identify incorrect totals and invalid respondent codes. In case a variation is deemed acceptable after contacting the respondent, a comment is added to those records explaining the reasons. Once all the data has been captured, tolerance and outlier edit programs are run against the data to identify any data falling out of the prescribed tolerance range. Such cases are resolved after verifying the respondent status for the current year. Any jurisdictional changes are taken into account when resolving data issues.
Historical trend comparisons are made to identify any other anomalies.
Each year some police services do not respond to the survey. If data for a non-responding police service are available for the previous year, estimates are made based on that data.
This methodology type does not apply to this statistical program.
Data quality is evaluated by doing historical trend analyses of key variables. Historical analyses of rates are done based on personnel and expenditure data (police per 100,000 population, per capita costs, etc.). Police-civilian ratios and male-female ratios are also checked over time to verify historical consistency. Overall per capita costs are derived and analyzed historically.
Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.
A cover letter requesting their participation and an authorization form confirming their signed permission to publicly release the data is sent to each police service.
Revisions and seasonal adjustment
Each year, some respondents send in revisions to data submitted in previous years. These revisions may result from internal audits done by the respondents, or they may result from data quality queries initiated by the survey manager. If there is inconsistency in the year-over-year data comparisons, the respondent may review the information sent by them in previous years and decide to revise them. In some cases, revisions are made to correct prior misinterpretation of definitions.
The survey collects census data as compiled by police services. Formal data quality indicators are not part of the survey methodology, beyond annual review for consistency and logical relationships between responses. While considerable effort is made to ensure high standards throughout all stages of collection and processing, the resulting estimates are inevitably subject to a certain degree of non-sampling error. Examples of non-sampling error are coverage error, data response error, non-response error and processing error.
Coverage error can result from incorrect addresses of police services or absence of contact information for new police services.
Data response error may be due to questionnaire design, the characteristics of a question, inability or unwillingness of the respondent to provide correct information, misinterpretation of the questions or definitional problems. These errors are controlled through careful questionnaire design and the use of simple concepts and consistency checks. However, since the respondents and/or their staff have been changing quickly due to amalgamations and regular turnover, some lack the background to ensure consistency. Therefore, the survey analyst is conscious of the need to monitor reporting and to discuss any anomalies with the police services in question. Detection of data errors is done at a very early stage. As soon as a survey response is received, the responses are compared to the previous year's data and if necessary, a trend analysis is done. Jurisdictional changes are kept in mind when doing these checks. If a response is over a tolerance range, the respondent is called and explanations and/or changes are made as a result. In some cases, part-time employees are not converted to full-time equivalents and this is resolved after discussing with the respondent.
Non-response error is related to respondents that may refuse to answer, are unable to respond or are too late in reporting. In these cases, data are imputed. The extent of any imputation error decreases with increases in the response rate and attempts are therefore made to obtain as high a response rate as possible while minimizing the response burden. The survey manager liaises with the respondents to maintain the high response rate of approximately 98% for the whole survey.
Processing error may occur at various stages of processing such as in data entry. Measures have been taken to minimize these errors. Processing errors are minimal due to consistency edits built into the processing system. Edits are in place to verify totals and invalid respondent codes. A respondent level tolerance edit process has been built into the data capture system to identify anomalies.
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