Table 282-0055^{
17, 18, 19, 20, 21, 22, 24}
Labour force survey estimates (LFS), by provinces, territories and economic regions based on 2006 Census boundaries, *Terminated*
annual
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Data table
Geography^{ 1, 19} | 1996 | 1997 | 1998 | 1999 | 2000 |
---|---|---|---|---|---|
footnotes | |||||
Canada^{ 19} | 9.6^{(T)} | 9.1^{(T)} | 8.3^{(T)} | 7.6^{(T)} | 6.8^{(T)} |
Newfoundland and Labrador | 18.9^{(T)} | 18.1^{(T)} | 17.6^{(T)} | 16.7^{(T)} | 16.6^{(T)} |
Avalon Peninsula, Newfoundland and Labrador [1010] | 16.0^{(T)} | 16.4^{(T)} | 15.0^{(T)} | 13.0^{(T)} | 12.6^{(T)} |
South Coast-Burin Peninsula, Newfoundland and Labrador [1020] | 26.1^{(T)} | 23.8^{(T)} | 20.4^{(T)} | 24.2^{(T)} | 28.9^{(T)} |
West Coast-Northern Peninsula-Labrador, Newfoundland and Labrador [1030] | 20.0^{(T)} | 18.3^{(T)} | 19.5^{(T)} | 19.3^{(T)} | 18.0^{(T)} |
Notre Dame-Central Bonavista Bay, Newfoundland and Labrador [1040] | 22.2^{(T)} | 20.4^{(T)} | 21.3^{(T)} | 20.0^{(T)} | 20.0^{(T)} |
Prince Edward Island | 14.6^{(T)} | 15.3^{(T)} | 13.9^{(T)} | 14.3^{(T)} | 12.0^{(T)} |
Nova Scotia | 12.4^{(T)} | 12.1^{(T)} | 10.5^{(T)} | 9.6^{(T)} | 9.1^{(T)} |
Cape Breton, Nova Scotia [1210] | 23.1^{(T)} | 19.5^{(T)} | 17.8^{(T)} | 17.6^{(T)} | 17.5^{(T)} |
North Shore, Nova Scotia [1220] | 13.7^{(T)} | 13.6^{(T)} | 11.5^{(T)} | 10.4^{(T)} | 9.9^{(T)} |
Annapolis Valley, Nova Scotia [1230] | 12.3^{(T)} | 12.1^{(T)} | 10.3^{(T)} | 8.3^{(T)} | 8.2^{(T)} |
Southern, Nova Scotia [1240] | 12.3^{(T)} | 12.1^{(T)} | 11.9^{(T)} | 10.3^{(T)} | 9.7^{(T)} |
Halifax, Nova Scotia [1250] | 8.2^{(T)} | 9.0^{(T)} | 7.2^{(T)} | 6.8^{(T)} | 6.2^{(T)} |
New Brunswick | 11.6^{(T)} | 12.6^{(T)} | 12.2^{(T)} | 10.2^{(T)} | 10.0^{(T)} |
Campbellton-Miramichi, New Brunswick [1310] | 13.9^{(T)} | 17.0^{(T)} | 19.0^{(T)} | 16.5^{(T)} | 16.2^{(T)} |
Moncton-Richibucto, New Brunswick [1320] | 12.4^{(T)} | 12.5^{(T)} | 11.0^{(T)} | 9.4^{(T)} | 8.4^{(T)} |
Saint John-St. Stephen, New Brunswick [1330] | 10.6^{(T)} | 11.5^{(T)} | 9.8^{(T)} | 7.6^{(T)} | 7.7^{(T)} |
Fredericton-Oromocto, New Brunswick [1340] | 10.7^{(T)} | 9.9^{(T)} | 9.6^{(T)} | 7.7^{(T)} | 8.4^{(T)} |
Edmundston-Woodstock, New Brunswick [1350] | 8.9^{(T)} | 10.5^{(T)} | 10.2^{(T)} | 9.0^{(T)} | 9.0^{(T)} |
Quebec | 11.8^{(T)} | 11.4^{(T)} | 10.3^{(T)} | 9.3^{(T)} | 8.5^{(T)} |
Gaspésie-Îles-de-la-Madeleine, Quebec [2410] | 18.5^{(T)} | 23.5^{(T)} | 22.1^{(T)} | 20.7^{(T)} | 19.9^{(T)} |
Bas-Saint-Laurent, Quebec [2415] | 14.2^{(T)} | 16.4^{(T)} | 13.8^{(T)} | 10.1^{(T)} | 10.4^{(T)} |
Capitale-Nationale, Quebec [2420] | 12.6^{(T)} | 11.5^{(T)} | 9.7^{(T)} | 9.2^{(T)} | 8.7^{(T)} |
Chaudière-Appalaches, Quebec [2425] | 7.0^{(T)} | 7.2^{(T)} | 6.7^{(T)} | 6.9^{(T)} | 6.1^{(T)} |
Estrie, Quebec [2430] | 9.6^{(T)} | 10.5^{(T)} | 10.2^{(T)} | 8.8^{(T)} | 7.9^{(T)} |
Centre-du-Québec, Quebec [2433] | 10.5^{(T)} | 9.3^{(T)} | 9.9^{(T)} | 9.7^{(T)} | 8.9^{(T)} |
Montérégie, Quebec [2435] | 10.1^{(T)} | 9.2^{(T)} | 7.6^{(T)} | 8.3^{(T)} | 6.6^{(T)} |
Montréal, Quebec [2440] | 13.7^{(T)} | 12.4^{(T)} | 11.6^{(T)} | 9.8^{(T)} | 9.7^{(T)} |
Laval, Quebec [2445] | 10.4^{(T)} | 11.1^{(T)} | 8.3^{(T)} | 8.3^{(T)} | 6.6^{(T)} |
Lanaudière, Quebec [2450] | 12.5^{(T)} | 10.4^{(T)} | 10.8^{(T)} | 9.0^{(T)} | 7.4^{(T)} |
Laurentides, Quebec [2455] | 10.7^{(T)} | 11.0^{(T)} | 9.7^{(T)} | 8.3^{(T)} | 7.5^{(T)} |
Outaouais, Quebec [2460] | 11.2^{(T)} | 11.5^{(T)} | 10.9^{(T)} | 8.2^{(T)} | 7.2^{(T)} |
Abitibi-Témiscamingue, Quebec [2465] | 11.0^{(T)} | 14.2^{(T)} | 14.9^{(T)} | 13.4^{(T)} | 11.9^{(T)} |
Mauricie, Quebec [2470] | 13.2^{(T)} | 14.4^{(T)} | 12.3^{(T)} | 11.4^{(T)} | 11.1^{(T)} |
Saguenay-Lac-Saint-Jean, Quebec [2475] | 14.3^{(T)} | 14.5^{(T)} | 14.4^{(T)} | 11.5^{(T)} | 10.5^{(T)} |
Côte-Nord and Nord-du-Québec, Quebec [2480, 2490] | 13.5^{(T)} | 13.1^{(T)} | 12.1^{(T)} | 12.9^{(T)} | 11.2^{(T)} |
Ontario | 9.0^{(T)} | 8.4^{(T)} | 7.2^{(T)} | 6.3^{(T)} | 5.7^{(T)} |
Ottawa, Ontario [3510] | 8.6^{(T)} | 9.2^{(T)} | 6.6^{(T)} | 6.8^{(T)} | 5.8^{(T)} |
Kingston-Pembroke, Ontario [3515] | 10.9^{(T)} | 11.6^{(T)} | 9.4^{(T)} | 7.7^{(T)} | 6.3^{(T)} |
Muskoka-Kawarthas, Ontario [3520] | 9.7^{(T)} | 9.8^{(T)} | 7.3^{(T)} | 6.9^{(T)} | 5.6^{(T)} |
Toronto, Ontario [3530] | 9.2^{(T)} | 8.0^{(T)} | 7.0^{(T)} | 6.1^{(T)} | 5.5^{(T)} |
Kitchener-Waterloo-Barrie, Ontario [3540] | 8.1^{(T)} | 7.6^{(T)} | 6.5^{(T)} | 5.5^{(T)} | 5.4^{(T)} |
Hamilton-Niagara Peninsula, Ontario [3550] | 8.5^{(T)} | 8.2^{(T)} | 6.5^{(T)} | 5.9^{(T)} | 5.8^{(T)} |
London, Ontario [3560] | 8.8^{(T)} | 7.9^{(T)} | 6.4^{(T)} | 6.5^{(T)} | 5.9^{(T)} |
Windsor-Sarnia, Ontario [3570] | 9.4^{(T)} | 8.7^{(T)} | 8.2^{(T)} | 6.3^{(T)} | 5.8^{(T)} |
Stratford-Bruce Peninsula, Ontario [3580] | 5.7^{(T)} | 6.5^{(T)} | 4.8^{(T)} | 3.8^{(T)} | 3.9^{(T)} |
Northeast, Ontario [3590] | 11.0^{(T)} | 10.7^{(T)} | 11.7^{(T)} | 10.0^{(T)} | 8.8^{(T)} |
Northwest, Ontario [3595] | 10.0^{(T)} | 9.6^{(T)} | 9.4^{(T)} | 7.1^{(T)} | 7.0^{(T)} |
Manitoba | 7.2^{(T)} | 6.5^{(T)} | 5.5^{(T)} | 5.6^{(T)} | 5.0^{(T)} |
Southeast, Manitoba [4610] | 6.1^{(T)} | 5.3^{(T)} | 5.3^{(T)} | 5.4^{(T)} | 4.3^{(T)} |
South Central, Manitoba [4620] | 2.9^{(T)} | 3.2^{(T)} | 3.2^{(T)} | 2.8^{(T)} | 3.4^{(T)} |
Southwest, Manitoba [4630] | 5.3^{(T)} | 4.9^{(T)} | 4.6^{(T)} | 4.4^{(T)} | 3.8^{(T)} |
North Central, Manitoba [4640] | 4.6^{(T)} | 4.8^{(T)} | 4.2^{(T)} | 4.4^{(T)} | 3.7^{(T)} |
Winnipeg, Manitoba [4650] | 8.3^{(T)} | 7.4^{(T)} | 5.8^{(T)} | 5.9^{(T)} | 5.4^{(T)} |
Interlake, Manitoba [4660] | 7.1^{(T)} | 6.3^{(T)} | 6.5^{(T)} | 5.3^{(T)} | 4.3^{(T)} |
Parklands and North, Manitoba [4670, 4680] | 6.0^{(T)} | 5.7^{(T)} | 5.9^{(T)} | 7.4^{(T)} | 6.0^{(T)} |
Saskatchewan | 6.6^{(T)} | 5.9^{(T)} | 5.8^{(T)} | 6.0^{(T)} | 5.1^{(T)} |
Regina-Moose Mountain, Saskatchewan [4710] | 5.7^{(T)} | 5.4^{(T)} | 5.2^{(T)} | 5.6^{(T)} | 4.7^{(T)} |
Swift Current-Moose Jaw, Saskatchewan [4720] | 5.4^{(T)} | 4.1^{(T)} | 3.8^{(T)} | 4.7^{(T)} | 3.5^{(T)} |
Saskatoon-Biggar, Saskatchewan [4730] | 7.3^{(T)} | 6.2^{(T)} | 6.3^{(T)} | 5.9^{(T)} | 5.0^{(T)} |
Yorkton-Melville, Saskatchewan [4740] | 5.1^{(T)} | 5.7^{(T)} | 4.7^{(T)} | 5.4^{(T)} | 5.3^{(T)} |
Prince Albert and Northern, Saskatchewan [4750, 4760]^{ 23} | 8.4^{(T)} | 7.3^{(T)} | 7.7^{(T)} | 7.9^{(T)} | 6.7^{(T)} |
Alberta | 6.9^{(T)} | 5.9^{(T)} | 5.6^{(T)} | 5.7^{(T)} | 5.0^{(T)} |
Lethbridge-Medicine Hat, Alberta [4810] | 6.1^{(T)} | 6.5^{(T)} | 4.8^{(T)} | 4.6^{(T)} | 4.8^{(T)} |
Camrose-Drumheller, Alberta [4820] | 4.0^{(T)} | 4.0^{(T)} | 5.4^{(T)} | 5.2^{(T)} | 4.2^{(T)} |
Calgary, Alberta [4830] | 6.7^{(T)} | 5.9^{(T)} | 5.1^{(T)} | 5.6^{(T)} | 4.6^{(T)} |
Banff-Jasper-Rocky Mountain House, Alberta [4840] | 4.3^{(T)} | 5.0^{(T)} | 5.7^{(T)} | 4.1^{(T)} | 4.7^{(T)} |
Red Deer, Alberta [4850] | 7.2^{(T)} | 4.7^{(T)} | 4.8^{(T)} | 6.4^{(T)} | 5.5^{(T)} |
Edmonton, Alberta [4860] | 8.1^{(T)} | 6.7^{(T)} | 6.1^{(T)} | 5.9^{(T)} | 5.5^{(T)} |
Athabasca-Grande Prairie-Peace River, Alberta [4870] | 5.7^{(T)} | 4.0^{(T)} | 5.8^{(T)} | 7.2^{(T)} | 5.6^{(T)} |
Wood Buffalo-Cold Lake, Alberta [4880] | 8.5^{(T)} | 6.3^{(T)} | 8.6^{(T)} | 7.1^{(T)} | 4.6^{(T)} |
British Columbia^{ 6} | 8.7^{(T)} | 8.5^{(T)} | 8.8^{(T)} | 8.3^{(T)} | 7.2^{(T)} |
Vancouver Island and Coast, British Columbia [5910] | 9.5^{(T)} | 8.8^{(T)} | 9.7^{(T)} | 7.9^{(T)} | 7.8^{(T)} |
Lower Mainland-Southwest, British Columbia [5920] | 8.2^{(T)} | 8.3^{(T)} | 8.1^{(T)} | 7.7^{(T)} | 6.1^{(T)} |
Thompson-Okanagan, British Columbia [5930] | 10.4^{(T)} | 8.3^{(T)} | 8.3^{(T)} | 9.7^{(T)} | 9.3^{(T)} |
Kootenay, British Columbia [5940] | 8.9^{(T)} | 9.4^{(T)} | 11.9^{(T)} | 9.3^{(T)} | 10.0^{(T)} |
Cariboo, British Columbia [5950] | 8.6^{(T)} | 9.9^{(T)} | 14.5^{(T)} | 11.7^{(T)} | 9.9^{(T)} |
North Coast and Nechako, British Columbia [5960, 5970] | 7.6^{(T)} | 9.0^{(T)} | 9.8^{(T)} | 8.8^{(T)} | 10.2^{(T)} |
Northeast, British Columbia [5980] | 7.2^{(T)} | 4.6^{(T)} | x^{(T)} | 8.9^{(T)} | 5.9^{(T)} |
Yukon^{ 20} | 9.7^{(T)} | 13.1^{(T)} | 12.8^{(T)} | 12.8^{(T)} | 11.8^{(T)} |
Northwest Territories^{ 21} | ^{(T)} | ^{(T)} | ^{(T)} | ^{(T)} | ^{(T)} |
Nunavut^{ 22} | ^{(T)} | ^{(T)} | ^{(T)} | ^{(T)} | ^{(T)} |
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Frequency of output data will be:
The frequency conversion options are particularly useful to convert data from one frequency to another for comparability purposes.
Note: When frequency of data is already of annual frequency or greater, then no frequency conversion options are presented. Certain series can only be aggregated by specific methods. If the frequency conversion chosen is not allowed, resultant data will appear as "..".
Converted to:
The frequency designates how often data observations are published. A table can contain only one frequency. By default, the frequency of output data will be left unchanged.
Frequency can be converted by these choices:
- Annual average: Conversion by averaging is more appropriate for "balance"-type data such as "Population as of July 1" as well as rates and indexes.
- Annual sum: Conversion to a sum should not be performed on a rate or index. Conversion by summing is more appropriate for "count"-type data, such as "Number of cars sold" or "Number of births".
- Quarterly average: Conversion by averaging is more appropriate for "balance"-type data such as "Population as of July 1" as well as rates and indexes.)
- Quarterly sum: Conversion by summing is more appropriate for "count"-type data, such as "Number of cars sold" or "Number of births".
- Annual - convert to annual by selecting a specific month or quarter: This type of calculation is most useful when data for a specific sub-annual period (month or quarter) is used to state an annual figure such as "Population as of July 1".
When converting frequency by summing or averaging:
Two choices are offered when converting frequency using either a sum or an average:
- Use calendar year: This is a normal calendar year starting in January and ending in December.
- Use fiscal year ending with last month retrieved: The annual non-calendar fiscal year average manipulation permits users to calculate the average value for the last twelve months ending with the most recent reference period selected. In order to complete this calculation, please follow these steps:
- In the section entitled "Frequency of output data will be:" sub-section "Standard frequency conversion options" select "Annual (average)".
- In the section "When converting frequency by summing or averaging:" select "Use fiscal year ending with last month retrieved".
- If you wish the output of your data as a percentage change from the previous year please select "Percent changes, year-to-year" found below "Data table will contain:"
Data table will contain:
Select one of these data transformations options to convert your data:
- Percent changes, period-over-period: If the frequency of the data is monthly, the calculation would measure the change of the data value in percent between consecutive time periods, (for example: between July 1998 and August 1998.)
- Percent changes, year-over-year: If the frequency of the data is monthly, the calculation would measure the change of the data value in percent between consecutive years, (for example: between July 1998 and July 1999).
- Year-to-date sums: Data for each sub-annual period is added consecutively to the previous period showing cumulative sums for each period.
- Year-to-date average: Data for each sub-annual period is averaged consecutively to the previous period showing cumulative averages for each period.
Note: CANSIM rounds data using statistician's rounding (also known as round-to-even method, unbiased rounding, convergent rounding and banker's rounding) which may differ from rounding methods used by common spreadsheet software.
Statistician's rounding rounds the following way:
- If the second decimal is larger than 5, the first decimal is incremented by 1 (see example 1).
- If the second decimal is smaller than 5, the first decimal stays unchanged (see example 2).
- When the second decimal is exactly 5, the "odd/even" rules apply. The first decimal is incremented by 1 if it is odd (see example 4), and left unchanged if it is even (see example 3).
- Example:
- 4.46 rounded to one decimal equals 4.5
- 4.44 rounded to one decimal equals 4.4
- 4.45 rounded to one decimal equals 4.4
- 4.15 rounded to one decimal equals 4.2
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Additional information on the survey or statistical program
Definitions, data sources and methods: Here is where you will find a link to the Integrated Meta Data Base (IMDB) where you may view details for the survey number(s) assigned to the CANSIM table.
The Integrated Meta Data Base (IMDB) contains information about the surveys and statistical programs carried out by Statistics Canada and other agencies to collect assemble process and disseminate statistical information.
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