Table 282-0116^{
1, 2, 3, 4, 15}
Labour force survey estimates (LFS), by census metropolitan area based on 2006 census boundaries, 3-month moving average, seasonally adjusted and unadjusted, *Terminated*
monthly
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Data table
Seasonal adjustment = Seasonally adjusted
Geography^{ 5, 6} | 2000 | ||||
---|---|---|---|---|---|
August | September | October | November | December | |
footnotes | |||||
Canada | 6.8^{(T)} | 6.9^{(T)} | 7.0^{(T)} | 7.0^{(T)} | 6.9^{(T)} |
Newfoundland and Labrador | 16.1^{(T)} | 16.3^{(T)} | 16.4^{(T)} | 16.7^{(T)} | 16.9^{(T)} |
St. John's, Newfoundland and Labrador [10001] | 9.2^{(T)} | 9.5^{(T)} | 9.3^{(T)} | 9.5^{(T)} | 9.2^{(T)} |
Prince Edward Island | 12.3^{(T)} | 12.2^{(T)} | 12.6^{(T)} | 13.1^{(T)} | 13.1^{(T)} |
Nova Scotia | 8.9^{(T)} | 9.2^{(T)} | 9.4^{(T)} | 9.5^{(T)} | 9.3^{(T)} |
Halifax, Nova Scotia [12205] | 6.2^{(T)} | 6.3^{(T)} | 6.3^{(T)} | 6.4^{(T)} | 6.6^{(T)} |
New Brunswick | 10.0^{(T)} | 9.8^{(T)} | 9.8^{(T)} | 10.0^{(T)} | 10.1^{(T)} |
Moncton, New Brunswick [13305] | 7.4^{(T)} | 7.2^{(T)} | 7.1^{(T)} | 6.9^{(T)} | 6.3^{(T)} |
Saint John, New Brunswick [13310] | 8.1^{(T)} | 7.7^{(T)} | 7.3^{(T)} | 7.7^{(T)} | 8.3^{(T)} |
Quebec | 8.6^{(T)} | 8.6^{(T)} | 8.6^{(T)} | 8.5^{(T)} | 8.3^{(T)} |
Saguenay, Quebec [24408] | 8.6^{(T)} | 9.3^{(T)} | 9.9^{(T)} | 10.2^{(T)} | 10.3^{(T)} |
Québec, Quebec [24421] | 8.4^{(T)} | 8.5^{(T)} | 8.1^{(T)} | 7.8^{(T)} | 7.1^{(T)} |
Sherbrooke, Quebec [24433] | 8.2^{(T)} | 7.6^{(T)} | 7.3^{(T)} | 7.2^{(T)} | 7.4^{(T)} |
Trois-Rivières, Quebec [24442] | 11.6^{(T)} | 11.5^{(T)} | 11.8^{(T)} | 11.4^{(T)} | 10.0^{(T)} |
Montréal, Quebec [24462] | 8.1^{(T)} | 8.0^{(T)} | 8.0^{(T)} | 7.9^{(T)} | 7.8^{(T)} |
Ontario | 5.6^{(T)} | 5.7^{(T)} | 5.9^{(T)} | 6.0^{(T)} | 6.0^{(T)} |
Ottawa-Gatineau, Ontario/Quebec [24505, 35505] | 5.9^{(T)} | 5.6^{(T)} | 5.7^{(T)} | 5.6^{(T)} | 5.5^{(T)} |
Ottawa-Gatineau, Quebec part, Ontario/Quebec [24505] | 6.2^{(T)} | 6.3^{(T)} | 6.4^{(T)} | 6.3^{(T)} | 6.4^{(T)} |
Ottawa-Gatineau, Ontario part, Ontario/Quebec [35505] | 5.8^{(T)} | 5.3^{(T)} | 5.4^{(T)} | 5.3^{(T)} | 5.2^{(T)} |
Kingston, Ontario [35521] | 6.3^{(T)} | 5.3^{(T)} | 5.2^{(T)} | 5.8^{(T)} | 6.5^{(T)} |
Peterborough, Ontario [35529]^{ 14} | 8.1^{(T)} | 7.2^{(T)} | 6.6^{(T)} | 3.8^{(T)} | 3.6^{(T)} |
Oshawa, Ontario [35532] | 6.0^{(T)} | 6.1^{(T)} | 5.9^{(T)} | 6.2^{(T)} | 5.8^{(T)} |
Toronto, Ontario [35535] | 5.2^{(T)} | 5.3^{(T)} | 5.6^{(T)} | 5.5^{(T)} | 5.7^{(T)} |
Hamilton, Ontario [35537] | 4.2^{(T)} | 4.6^{(T)} | 5.0^{(T)} | 5.8^{(T)} | 6.0^{(T)} |
St. Catharines-Niagara, Ontario [35539] | 5.7^{(T)} | 6.2^{(T)} | 6.8^{(T)} | 6.9^{(T)} | 7.2^{(T)} |
Kitchener-Cambridge-Waterloo, Ontario [35541] | 5.5^{(T)} | 5.7^{(T)} | 6.0^{(T)} | 6.4^{(T)} | 6.5^{(T)} |
Brantford, Ontario [35543] | 9.1^{(T)} | 7.4^{(T)} | 5.8^{(T)} | 5.0^{(T)} | 5.0^{(T)} |
Guelph, Ontario [35550] | 4.1^{(T)} | 4.5^{(T)} | 4.2^{(T)} | 5.0^{(T)} | 4.8^{(T)} |
London, Ontario [35555] | 6.2^{(T)} | 6.1^{(T)} | 6.2^{(T)} | 6.1^{(T)} | 6.0^{(T)} |
Windsor, Ontario [35559] | 4.5^{(T)} | 5.0^{(T)} | 5.4^{(T)} | 5.7^{(T)} | 6.1^{(T)} |
Barrie, Ontario [35568] | 7.0^{(T)} | 8.0^{(T)} | 6.8^{(T)} | 6.0^{(T)} | 4.3^{(T)} |
Greater Sudbury, Ontario [35580] | 7.5^{(T)} | 8.2^{(T)} | 8.7^{(T)} | 9.0^{(T)} | 8.4^{(T)} |
Thunder Bay, Ontario [35595] | 6.8^{(T)} | 7.0^{(T)} | 6.9^{(T)} | 7.2^{(T)} | 7.0^{(T)} |
Manitoba | 4.8^{(T)} | 4.8^{(T)} | 4.7^{(T)} | 4.7^{(T)} | 4.9^{(T)} |
Winnipeg, Manitoba [46602] | 5.1^{(T)} | 5.0^{(T)} | 4.9^{(T)} | 4.9^{(T)} | 5.0^{(T)} |
Saskatchewan | 5.6^{(T)} | 5.6^{(T)} | 5.5^{(T)} | 5.2^{(T)} | 5.0^{(T)} |
Regina, Saskatchewan [47705] | 5.3^{(T)} | 5.3^{(T)} | 5.2^{(T)} | 5.0^{(T)} | 4.7^{(T)} |
Saskatoon, Saskatchewan [47725] | 6.6^{(T)} | 6.1^{(T)} | 5.3^{(T)} | 5.1^{(T)} | 4.7^{(T)} |
Alberta | 5.1^{(T)} | 5.1^{(T)} | 4.9^{(T)} | 4.8^{(T)} | 4.9^{(T)} |
Calgary, Alberta [48825] | 4.7^{(T)} | 4.4^{(T)} | 4.1^{(T)} | 4.2^{(T)} | 4.3^{(T)} |
Edmonton, Alberta [48835] | 6.2^{(T)} | 6.2^{(T)} | 5.9^{(T)} | 5.5^{(T)} | 5.3^{(T)} |
British Columbia | 7.2^{(T)} | 7.4^{(T)} | 7.7^{(T)} | 7.4^{(T)} | 7.2^{(T)} |
Kelowna, British Columbia [59915]^{ 14} | 6.7^{(T)} | 7.2^{(T)} | 7.5^{(T)} | 7.6^{(T)} | 7.8^{(T)} |
Abbotsford-Mission, British Columbia [59932] | 8.2^{(T)} | 9.7^{(T)} | 10.3^{(T)} | 8.9^{(T)} | 7.5^{(T)} |
Vancouver, British Columbia [59933] | 5.6^{(T)} | 5.8^{(T)} | 6.1^{(T)} | 6.0^{(T)} | 5.8^{(T)} |
Victoria, British Columbia [59935] | 7.1^{(T)} | 7.5^{(T)} | 7.5^{(T)} | 7.5^{(T)} | 6.9^{(T)} |
Symbol legend:
Footnotes:
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- 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".
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- 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:"
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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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