Staffing and Non-Partisanship Survey Data Release: Supporting Documentation

If you have any questions, comments or feedback related to these datasets, please contact the Public Service Commission's Open Government Secretariat.

Background Information

About the Staffing and Non-Partisanship Survey

The Staffing and Non-Partisanship Survey (SNPS) was introduced in 2018 as a biennial public service-wide survey, replacing the Survey of Staffing (SOS) in light of changes brought about by the implementation of the New Direction in Staffing. The primary objective of the SNPS is to collect public servants’ perceptions of the federal staffing system, of the political impartiality of the public service, and their knowledge of their rights and obligations in engaging in political activities. Conducting the survey on a regular basis provides the Public Service Commission of Canada (PSC) and delegated departments with a clear view of areas for improvement, as well as what is working well.

The survey provides vital information to managers, human resources advisors and deputy heads to improve staffing within their own organizations, and to the PSC on the staffing system as a whole. The information is also used to support reporting to Parliament via the PSC's Annual Report.

The SNPS targets all departments and agencies under the Public Service Employment Act. The SNPS gathers information from a broader range of audiences — employees, hiring managers and staffing advisors — on key aspects of the staffing system (for example, merit). As in previous years, the survey also gathers critical information on employees’ understanding of their rights and responsibilities regarding political activities and non-partisanship. In 2025, questions were added regarding biases and barriers, the use of artificial intelligence and alternative recruitment platforms in staffing processes, and fairness related to non-advertised appointments. For this cycle, results are only provided for in-scope respondents (i.e. term and indeterminate employees).

The information gathered in the survey will be used to identify current and emerging trends at government-wide and organizational levels, to inform potential improvements to staffing policies and practices, and better target efforts to safeguard non-partisanship within the federal public service.

Please visit the Public Service Commission’s Staffing and Non-Partisanship Survey tools on the Data Visualization Hub to access the interactive visualisation tools that make use of the data in this collection.

This data release

This data release is comprised of the findings from the fourth cycle of the SNPS.

Data collection took place over a period of approximately 10 weeks — between June 5, 2025, and August 14, 2025. The survey targeted employees, hiring managers, and staffing advisors to gather their views on a wide range of staffing-related topics, including perceptions on merit, fairness, and transparency in the staffing process, organizational staffing policies and practices, as well as political activities and non-partisanship.

Invitations to complete the survey were sent to 268,584 public servants across 80 departments and agencies subject to the Public Service Employment Act. A total of 82,987 in-scope employees completed the survey, representing an overall response rate of 30.9%.

The survey frame was made up of all employees that were on the employee lists provided by in-scope organizations.

Quality assurance

This data release has been subject to a comprehensive quality review.

All SNPS questions require a minimum of 10 valid responses. Results are not shown when there is an insufficient number of valid in-scope responses.

Since the SNPS includes a number of branching and skip patterns targeting different groups of respondents, the number of questions each respondent is answering varies based on their responses to certain questions.

Consequently, the number of valid responses per question may vary within the same organization.

Sampling and collection

This survey is a census with a repeated cross-sectional design. Responding to it was voluntary and the data was collected directly from the survey respondents. Each federal employee receiving a survey invitation (that is, a sampling unit) was contacted by email and invited to complete an electronic questionnaire.

Interpretation of survey results

The data in this release has been weighted to adjust for non-response. Therefore, the results can be generalized to the federal public service population in departments and agencies that are subject to the Public Service Employment Act.

Results are shown as counts and percentages for 2 categories of responses:

  1. “yes” or “no”
  2. “not at all”; to a minimal extent”; “to a moderate extent”; or “to a great extent”

For all of the above, “don’t know”, “not applicable”, “not stated”, and “valid skip” responses are excluded except for select questions related to priority entitlement where “don’t know” is included.

Both the weighted number of responses and the weighted percentages for each of a question’s response values are given. The weighted number of respondents are rounded to the nearest whole number.

To protect the confidentiality of respondents, results are only provided for questions with at least 10 unweighted respondents.

Dataset Documentation

By department (including all departments) (CFPPSC_SNPS01)

By department and by Employment Equity Group: Women (CFPPSC_SNPS02)

By department and by Employment Equity Group: Persons with disabilities (CFPPSC_SNPS03)

By department and by Employment Equity Group: Visible minorities (CFPPSC_SNPS04)

By department and by Employment Equity Group: Indigenous Peoples (CFPPSC_SNPS05)

By department and by First Official Language (CFPPSC_SNPS06)

By department and by Region (CFPPSC_SNPS07)

By department and by Occupational group (CFPPSC_SNPS08)

By department and by Age group (CFPPSC_SNPS09)

By department and by Years of Service (CFPPSC_SNPS10)

By department and by Tenure (CFPPSC_SNPS11)

Data Visualization Dataset (CFPPSC_SNPS12)

Response profile data (CFPPSC_SNPS13)

List of questions (CFPPSC_SNPS14)

List of departments (CFPPSC_SNPS15)

By department and by diploma (CFPPSC_SNPS16)

By department and by marital status (CFPPSC_SNPS17)

By department and by sexual orientation (CFPPSC_SNPS18)

By department and by identity (CFPPSC_SNPS19)

By department and by family status (CFPPSC_SNPS20)

By department and by religion (CFPPSC_SNPS21)

By department and by visible minority subgroup (CFPPSC_SNPS22)

By department and by Indigenous subgroup (CFPPSC_SNPS23)

By department and by type of disability (CFPPSC_SNPS24)

Glossary

Glossary
Attribute Name Defined Attribute Name
agg_35_e Age group (English)
agg_35_f Age group (French)
Category_E Question category (English)
Category_F Question category (French)
ddis_fl_e Disability status (English)
ddis_fl_f Disability status (French)
dept_e Federal government organization (English)
dept_f Federal government organization (French)
Dept_number Federal government organization code number
Dept_size_E Size of federal government organization (English)
Dept_size_F Size of federal government organization (French)
ed_01_e Highest certificate, diploma or degree completed (English)
ed_01_f Highest certificate, diploma or degree completed (French)
fol_05_e First official language (English)
fol_05_f First official language (French)
gdr_10_e Gender (English)
gdr_10_f Gender (French)
iidflag_e Indigenous identity status (English)
iidflag_f Indigenous identity status (French)
gen_06_e Current employee status (ex: indeterminate) (English)
gen_06_f Current employee status (ex: indeterminate) (French)
N Number of respondents
occlevel_e Occupational group and level (English)
occlevel_f Occupational group and level (French)
population_e Respondent population (Data Visualization) (English)
population_f Respondent population (Data Visualization) (French)
question Question number - Variable format
question_e Question text (English)
question_f Question text (French)
question_value_e Response value (English)
question_value_f Response value (French)
region1_e Region of work (English)
region1_f Region of work (French)
Respondents_E Respondent population (Response profile data) (English)
Respondents_F Respondent population (Response profile data) (French)
shr_w_resp Weighted percentage share
survey_year Year of the survey (Data Visualization)
theme_e Question theme (English)
theme_f Question theme (French)
total_w_resp Weighted number of respondents
vismin_fl_e Visible minority status (English)
vismin_fl_f Visible minority status (French)
yrs_02_e Years of service in the federal public service (English)
yrs_02_f Years of service in the federal public service (French)
pg_06_e Marital status (English)
pg_06_f Marital status (French)
gdr_11A_e e Sexual Orientation (English)
gdr_11A_f Sexual Orientation (French)
gdr_11B_e Identity (English)
gdr_11B_f Identity (French)
pg_07_e Family status (English)
pg_07_f Family status (French)
pg_08_e Religion (English)
pg_08_f Religion (French)
pg_05_e Visible minority subgroup (English)
pg_05_f Visible minority subgroup (French)
abm_01_e Indigenous subgroup (English)
abm_01_f Indigenous subgroup (French)
dis_01_e Type of disability (English)
dis_01_f Type of disability (French)

Page details

2026-04-14