Estimates of Total Population, Canada, Provinces and Territories
Detailed information for January 1, 2014
Status:
Active
Frequency:
Quarterly
Record number:
3601
This estimates program provides quarterly estimates of total population for Canada, provinces and territories.
Data release - March 19, 2014
Description
This estimates program provides quarterly estimates of total population for Canada, provinces and territories.
This estimates program is used in the calculation of demographic, social and economic indicators. Estimated population counts play a vital role under the "Federal-Provincial Fiscal Arrangements and Federal Post-Secondary Education and Health Contributions Act" and the "Canada Student Loans Act" in determining the amounts of federal-provincial-territorial transfers. In addition, the data helps in the determination of the annual level of immigration by the Government of Canada.
Subjects
- Population and demography
- Population estimates and projections
Data sources and methodology
Target population
The population universe covered by the Demographic Estimates Program is similar to the population universe of the census. The following groups of persons are included:
- Canadian citizens (by birth or by naturalization) and immigrants with a usual place of residence in Canada;
- Canadian citizens (by birth or by naturalization) and immigrants who are abroad, either on a military base or attached to a diplomatic mission;
- Canadian citizens (by birth or by naturalization) and immigrants at sea or in port aboard merchant vessels under Canadian registry or Canadian government vessels;
- Non-permanent residents:
o persons with a usual place of residence in Canada who are claiming refugee status and the family members living with them;
o persons with a usual place of residence in Canada who hold study permits and the family members living with them;
o persons with a usual place of residence in Canada who hold work permits and the family members living with them.
The population universe of the Census does not include foreign residents but, since 1991, non-permanent residents are included in the population universe.
Foreign residents have not been enumerated since the 1991 Census. Foreign residents are persons who belong to the following groups:
- government representatives of another country attached to the embassy, high commission or other diplomatic body of that country in Canada, and members of their families living with them;
- members of the Armed Forces of another country who are stationed in Canada, and family members living with them;
- residents of another country visiting Canada temporarily (for example, a foreign visitor on vacation or on business, with or without a visitor's permit).
Instrument design
This methodology does not apply.
Sampling
This methodology does not apply.
Data sources
Data are extracted from administrative files and derived from other Statistics Canada surveys and/or other sources.
Postcensal estimates are produced using data from the most recent census adjusted for census net undercoverage (CNU) (including the adjustment for incompletely enumerated Indian reserves (IEIR)). Population estimates - preliminary, updated and final - are produced by the component method. This method consists in taking the population figures from the most recent census, adjusted for CNU (including IEIR), and adding or subtracting the number of births, deaths, and components of international and interprovincial migration.
Data integration is conducted by combining data from multiple sources, including the latest Census, Census coverage studies (Reverse Record Check (RRC)) and administrative data such as the Canada Revenue Agency (CRA), Immigration, Refugees and Citizenship Canada (IRCC)and the U.S. Department of Homeland Security, Office of Immigration Statistics.
For further information, please refer to: Population and Family Estimation Methods at Statistics Canada, Demography Division, Catalogue No. 91-528-XIE.
Error detection
This methodology type does not apply to this statistical program.
Imputation
This methodology does not apply.
Estimation
Population estimates can be either intercensal or postcensal. Intercensal estimates are produced using counts from two consecutive censuses adjusted for Census Net Undercoverage (including adjustment for Incompletely Enumerated Indian Reserves) and postcensal estimates. The production of intercensal estimates involves updating the postcensal estimates using the counts from a new census adjusted for Census Net Undercoverage (including Incompletely Enumerated Indian Reserves).
Postcensal estimates are produced using data from the most recent census adjusted for CNU (including IEIR) and the components of demographic growth (births, deaths, interprovincial and international migration). In terms of timeliness, postcensal estimates are more up-to-date than data from the most recent census adjusted for CNU (including IEIR), but as they get farther from the date of that census, they become more variable.
Estimates of population are first produced for each province and territory, and then summed to obtain an estimate of the population of Canada.
For more detailed information regarding population estimation methods, see Population and Family Estimation Methods at Statistics Canada, Demography Division, Catalogue No. 91-528-XIE.
Quality evaluation
Measure of the precocity errors
The quality of preliminary estimates is analysed using precocity errors. Precocity error is defined as the difference between preliminary and final estimate in terms of its relative proportion of the total population. It can be calculated for both population and component estimates. Precocity error allows for useful comparisons between components, as well as between provinces and territories of different population size.
Note that when compared to the total population for an area, the differences between preliminary and final estimates of the components are quite small. There are, however, differences in the impact of this type of error on the components, the provinces and the territories.
Generally speaking, net interprovincial migration yields the greatest precocity errors. This is the result of the use of different data sources for preliminary and final estimates. In most years and for most provinces/territories, births, deaths and immigration estimates yield the smallest precocity errors. For immigration estimates, this reflects the completeness of the data source and the availability of data for more timely preliminary estimates. In the case of births and deaths, small precocity errors can be explained by the use of a different method (method of ratios) for preliminary estimates.
Measure of the error of closure
The error of closure measures the exactness level of the postcensal estimates. It can be defined as the difference between the enumerated population of the most recent census (after adjustments for CNU (including IEIR) and the most current postcensal population estimate as of Census Day.
The error of closure comes from two sources: errors mainly due to sampling from the measure of the census coverage and errors in the components of demographic growth over the intercensal period. With each 5-year intercensal period, the error of closure can only be calculated with the release of census data and estimates of CNU (including IEIR).
By dividing the error of closure by the census population adjusted for CNU, the differences are relatively small at the national level (0.16% for 2001, 0.14% for 2006 and 0.50% for 2011). At the provincial and territorial level, differences are understandably larger, since the estimates are also affected by errors in estimating interprovincial migration. Nevertheless, postcensal estimates generally fall within 1% of the adjusted census population, except for the territories and a few provinces.
For more detailed information on the quality evaluation of the demographic estimates, see Population and Family Estimation Methods at Statistics Canada, Demography Division, Catalogue 91-528-XIE.
Disclosure control
Statistics Canada is prohibited by law from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.
In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.
Revisions and seasonal adjustment
Data are revised once a year revising about eight quarters. After each census, postcensal estimates are revised to produce the intercensal estimates.
Demographic estimates are revised using birth, death and interprovincial and international migration statistics when they become available. Revisions may result in notable changes for certain components, particularly for interprovincial migration.
Interprovincial migration data are derived from two sources. Preliminary migration estimates are based on changes of addresses recorded by the Canada child tax benefit program from the Canada Revenue Agency, and are available shortly after the reference month. Final interprovincial migration estimates are based on addresses supplied on personal income tax returns, and are available a year after the reference year.
Data accuracy
The estimates contain a certain margin of inaccuracy stemming both from errors in corrections for census net undercoverage and errors arising in estimating the components. The CNU rate for Canada in the 2011 Census was 2.32%. On the basis of the quality of the data sources, the components can be divided into two categories: the first consists of births, deaths, non-permanent residents and immigration, for which the sources can be considered nearly perfect where final data are used; and the second is emigration, returning emigration, net temporary emigration and particularly, interprovincial migration, for which the methods used may be a more substantial source of error.
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