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Federal government employment in census metropolitan areas

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September 2009 (Previous release)

Three-quarters of all federal government employees worked in a census metropolitan area (CMA) in September, a proportion that has been stable since 2001.

In September, the federal government had 419,600 employees. Of these, 316,800, or 75.5%, worked in 1 of the 33 CMAs.

The largest concentration of federal employees, 132,600, worked in the CMA of Ottawa–Gatineau. They accounted for nearly one-third (31.6%) of total federal government employment, up from about 26% in the mid-1990s.

The next largest concentrations of federal employment were in the CMAs of Montréal (23,800) and Toronto (23,100).

The proportion of total federal government workforce in the Ottawa-Gatineau region continues to grow

Federal employees in Ottawa–Gatineau represented 19.7% of the CMA's total employed labour force of 673,800, up from 18.4% in 2008. This increase was due to a 6.2% rise in federal employment, combined with a 0.7% decline in total employment.

The proportion of federal public servants in the total employed labour force in other CMAs ranged from 0.1% in Oshawa to 8.7% in Kingston.

Note: To provide comparability between the Public Sector Employment program and the Labour Force Survey, statistics for this release are based on the 2001 Standard Geographical Classification census metropolitan area (CMA) definition.

Additional CMAs based on the 2006 Standard Geographical Classification (Moncton, Barrie, Guelph, Peterborough, Brantford and Kelowna) are presented here, although they were census agglomerations when based on the 2001 Standard Geographical Classification.

The term "federal government" in this release includes all organizations controlled by the federal government that are not-for-profit and produce non commercial goods and services on behalf of the government and its citizens. It includes agencies (for example the Canada Revenue Agency), the Canadian military (regular forces and reservists), and uniformed Royal Canadian Mounted Police members. It does not include employees of federal government business enterprises that operate as commercial corporations in the marketplace.

The employment count reflects the last pay period of the month of September.

Available on CANSIM: table 183-0003.

Definitions, data sources and methods: survey number 1713.

Labour Force Survey data can be found on CANSIM.

Available on CANSIM: tables 282-0052 and 282-0056.

Data tables on public sector employment are also available from the National economic accounts module of our website.

For more information or to order data, contact Client Services (613-951-0767; PSSD-Info-DSSP@statcan.gc.ca). To enquire about the concepts, methods or data quality of this release, contact Alain Baril (613-951-4131; alain.baril@statcan.gc.ca), Public Sector Statistics Division.

Table 1

Employment within census metropolitan areas, September 20091
  Total employment2 Federal government employment Federal government employment as a proportion of total employment
  thousands %
Ottawa–Gatineau 673.8 132.6 19.7
Kingston 78.6 6.8 8.7
Halifax 215.8 17.4 8.1
Victoria 181.1 10.2 5.6
St. John's 101.1 5.2 5.1
Moncton 74.3 3.2 4.3
Québec 385.7 15.3 4.0
Saguenay 72.4 2.8 3.8
Winnipeg 399.0 12.6 3.2
Regina 115.5 3.4 2.9
Greater Sudbury 77.9 2.2 2.9
Edmonton 616.8 14.4 2.3
Abbotsford–Mission 87.2 1.6 1.8
Saskatoon 147.0 2.6 1.8
Saint John 67.4 1.1 1.6
Thunder Bay 60.8 1.0 1.6
Vancouver 1,244.8 18.5 1.5
Windsor 151.0 2.2 1.5
Sherbrooke 86.2 1.2 1.4
Montréal 1,900.3 23.8 1.3
London 231.1 2.8 1.2
Hamilton 374.7 3.2 0.9
Guelph 73.6 0.6 0.9
Toronto 2,886.2 23.1 0.8
Trois-Rivières 69.1 0.5 0.7
Calgary 703.6 4.6 0.7
Brantford 52.8 0.3 0.7
St. Catharines–Niagara 188.8 1.2 0.6
Peterborough 53.9 0.3 0.6
Kitchener 253.2 1.1 0.4
Kelowna 99.1 0.4 0.4
Barrie 89.4 0.2 0.3
Oshawa 184.0 0.3 0.1
Total 11,996.2  316.8  2.6
Go online to view the census subdivisions that comprise the census metropolitan areas.
Data obtained from the Labour Force Survey, based on the 2001 Standard Geographical Classification.
Note(s):
Data may not add up to totals as a result of rounding.