Table 202-0804^{
1, 8}
Persons in low income, by economic family type, *Archived*
annual
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Data table
Economic family type^{ 7} = Persons in all family units
Low income lines | Statistics^{ 6} | 2007 | 2008 | 2009 | 2010 | 2011 |
---|---|---|---|---|---|---|
footnotes | ||||||
Low income cut-offs after tax, 1992 base^{ 4} | Number of persons in low income (x 1,000) | 2,938^{B} | 3,035^{B} | 3,128^{B} | 3,007^{B} | 2,959^{B} |
Percentage of persons in low income | 9.1^{B} | 9.3^{B} | 9.5^{B} | 9.0^{B} | 8.8^{B} | |
Average gap ratio (percent)^{ 15} | 32.8^{B} | 33.2^{B} | 33.5^{B} | 33.3^{B} | 33.3^{B} | |
Median gap ratio (percent)^{ 15} | 26.5^{C} | 26.5^{C} | 26.5^{C} | 25.2^{C} | 26.1^{C} | |
Aggregate low income gap as a percentage of income^{ 16} | 0.9^{C} | 1.0^{C} | 1.0^{C} | 0.9^{C} | 0.9^{C} | |
Low income cut-offs before tax, 1992 base^{ 5} | Number of persons in low income (x 1,000) | 4,331^{B} | 4,384^{B} | 4,417^{B} | 4,500^{B} | 4,331^{B} |
Percentage of persons in low income | 13.5^{B} | 13.5^{B} | 13.4^{B} | 13.5^{B} | 12.9^{B} | |
Average gap ratio (percent)^{ 15} | 32.2^{A} | 33.1^{B} | 34.2^{B} | 32.2^{B} | 33.2^{B} | |
Median gap ratio (percent)^{ 15} | 26.1^{B} | 28.3^{B} | 29.4^{B} | 26.6^{B} | 28.3^{B} | |
Aggregate low income gap as a percentage of income^{ 16} | 1.4^{B} | 1.4^{C} | 1.5^{C} | 1.4^{C} | 1.3^{B} | |
Market basket measure, 2011 base^{ 13} | Number of persons in low income (x 1,000) | 3,291^{B} | 3,538^{B} | 4,018^{B} | 3,917^{B} | 4,032^{B} |
Percentage of persons in low income | 10.2^{B} | 10.9^{B} | 12.2^{B} | 11.8^{B} | 12.0^{B} | |
Average gap ratio (percent)^{ 15} | 32.4^{B} | 32.4^{B} | 32.9^{B} | 31.9^{B} | 31.7^{B} | |
Median gap ratio (percent)^{ 15} | 24.8^{C} | 25.0^{C} | 25.7^{B} | 23.8^{C} | 24.6^{C} | |
Aggregate low income gap as a percentage of income^{ 16} | 1.1^{C} | 1.2^{C} | 1.5^{C} | 1.3^{C} | 1.3^{C} | |
Low income measure after tax^{ 14} | Number of persons in low income (x 1,000) | 3,981^{B} | 4,286^{B} | 4,317^{B} | 4,332^{B} | 4,241^{B} |
Percentage of persons in low income | 12.4^{B} | 13.2^{B} | 13.1^{B} | 13.0^{B} | 12.6^{B} | |
Average gap ratio (percent)^{ 15} | 29.4^{B} | 30.1^{B} | 30.6^{B} | 29.2^{B} | 30.1^{B} | |
Median gap ratio (percent)^{ 15} | 22.7^{B} | 24.0^{C} | 24.2^{C} | 23.0^{C} | 25.0^{B} | |
Aggregate low income gap as a percentage of income^{ 16} | 1.4^{B} | 1.5^{B} | 1.6^{C} | 1.4^{B} | 1.4^{B} |
Footnotes:
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Frequency of data is already of annual frequency or greater, therefore no frequency conversion options are presented.
Help
Data table
When first opening a CANSIM table, the data that is shown is considered the initial view. Depending on the size of the CANSIM table, this table might only represent a summary with five reference periods, if available. You can use the Add/Remove data tab to add or remove data.
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Add/Remove data
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An All checkbox appears under each dimension title and just above the scrollable list. Level checkboxes will appear for dimensions containing hierarchies. An Expand/Collapse option is available near the scrollable list which lets you open a dimension to see the list of its members/items.
Before proceeding with the request, check the data ranges for which data is available and reduce this range if you wish; data retrievals are faster when the time period is short. Also, you can select one of four options of a screen output format, default being HTML table, times as column.
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Note: If you receive an error message after selecting your members from the pick list it's either because your request does not contain series or one member/item has not been selected from a dimension.
Manipulate
Statistics Canada assumes responsibility for the quality of data as retrieved with the frequency unchanged. Clients take responsibility for any manipulations made to the original data.
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
Once you made your selections select the Apply button.
Download
Option 1 - Download data as displayed in the Data table tab
This option downloads your selection and is displayed in the Data table tab or you can modify using the download options.
Three download options are available:
- Select the language: You have the choice of the English or French language for the textual content.
- Select the data output format type: You have the choice of the following six format types:
- time as columns, where the time frame you have selected will be displayed in columns
- time as rows, where the time frame you have selected will be displayed in rows.
- for database loading, where you will download a flat format file ready for database loading
- for database loading with data quality indicators, where you will download a flat format file including data quality indicators
- time as columns with data quality indicators, where the time frame you have selected will be displayed in columns including data quality indicators
- time as rows with data quality indicators, where the time frame you have selected will be displayed in rows including data quality indicators
- Select the file format: you will have the choice of the following two output separator types:
- CSV (comma-separated values) English spreadsheet is usually used when retrieving English tables with computers having their Regional set to English.
If your objective is to load the data into a spreadsheet package the best choice for output format is a comma-separated values (CSV) file.
Note: CSV and Semicolon-Separated Values (SCSV) files are produced differently whether you perform the retrieval in English or French. This is because, in French, the comma is used to indicate decimals; a different separator (a semicolon) must therefore be used. SCSV files retrieved in French will parse correctly only if the Regional Settings are set to French.
Once you made your selections select the Download data button.
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Once you made your selections select the Download entire table button.
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