Keyword search

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Geography

2 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (45)

All (45) (0 to 10 of 45 results)

  • Table: 91-002-X
    Description:

    This publication presents quarterly estimates of population for Canada, provinces and territories as well as statistics on the following components of population change: births, deaths, immigration, emigration, returning emigration, net temporary emigration, net non-permanent residents and interprovincial migration, the latter by origin and destination. The Quarterly Demographic Estimates publication contains the most recent estimates as well as a quarterly historical series. It also contains highlights and analysis of the most current demographic trends, as well as a brief description of the concepts, methods and data quality of the estimates.

    Release date: 2022-03-17

  • Table: 84-537-X
    Description:

    This electronic publication contains life tables comprising life expectancy and related estimates by age and sex for Canada, the provinces and territories. Detailed estimates (by single year of age) have been produced for Canada and all of the provinces, except Prince Edward Island, based on two types of complete life tables: three-year estimates (for periods of consecutive three years) and single-year estimates. Aggregated estimates (by five-year age group) have been produced for Prince Edward Island and the three territories separately based on abridged life tables (three-year estimates).

    Release date: 2022-01-24

  • Surveys and statistical programs – Documentation: 84-538-X
    Geography: Canada
    Description:

    This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.

    Release date: 2022-01-24

  • Data Visualization: 71-607-X2020020
    Description:

    This interactive dashboard can be used to visualize the factors of population growth and how they have changed over time for economic regions. The dashboard shows population, population growth, factors of population growth (natural increase, international migration, interprovincial migration, intraprovincial migration), and the proportion of the population by age group. The user can view the data by selecting an economic region of interest as well as a year of interest.

    Release date: 2022-01-13

  • Data Visualization: 71-607-X2020021
    Description:

    This interactive dashboard can be used to visualize the factors of population growth and how they have changed over time for census divisions. The dashboard shows population, population growth, factors of population growth (natural increase, international migration, interprovincial migration, intraprovincial migration), and the proportion of the population by age group. The user can view the data by selecting a census division of interest as well as a year of interest.

    Release date: 2022-01-13

  • Data Visualization: 71-607-X2021030
    Description:

    This interactive dashboard can be used to visualize the factors of population growth and how they have changed over time for rural and urban areas. The dashboard shows population, population growth, factors of population growth (natural increase, international migration, interprovincial migration, intraprovincial migration), and the proportion of the population by age group. Users can view the data by province or territory, as well as by year, age group, and rural or urban area.

    Release date: 2022-01-13

  • Data Visualization: 71-607-X2021022
    Description:

    This interactive dashboard provides an overview of Indigenous populations projections using the most recent results of the Demosim microsimulation projection model. Showing results coming from several projection scenarios, this tool allows users to quickly and easily explore data-such as population counts by geography and age group. Information for the overall Indigenous population as well as for specific Indigenous populations, notably, Registered Indians, First Nations people, Métis and Inuit are presented for all provinces and territories.

    Release date: 2021-10-06

  • Data Visualization: 71-607-X2020018
    Description:

    This interactive dashboard allows the visualization of the age and sex structure of the population of Canada, provinces and territories. The data presented cover the period from 1971 to the most recent year. The dashboard shows the proportion of the total population by broad age group, the proportion of centenarians, the distribution of the population by age and sex, the average age, the number of people aged 15 to 64 per person aged 65 years and older and the sex ratio by age group. Data can be visualized for Canada or for a selected province or territory.

    Release date: 2021-09-29

  • Articles and reports: 91F0015M2020002
    Description:

    This document describes the production of demographic estimates for the second quarter of 2020 in the context of COVID-19. Limits to the usual approaches and alternate strategies that were considered are presented for each demographic component. When adjustments to the usual methodology were made, they are summarized in a succinct manner. A broad overview of potential adjustments for future releases of demographic estimates is also provided.

    Release date: 2020-09-29

  • Articles and reports: 91F0015M2020001
    Description:

    This document describes the production of demographic estimates for the first quarter of 2020 in the context of COVID-19. Limits to the usual approaches and alternate strategies that were considered are presented for each demographic component. When adjustments to the usual methodology were made, they are summarized in a succinct manner. A broad overview of potential adjustments for future releases of demographic estimates is also provided.

    Release date: 2020-06-18
Data (12)

Data (12) (0 to 10 of 12 results)

  • Table: 91-002-X
    Description:

    This publication presents quarterly estimates of population for Canada, provinces and territories as well as statistics on the following components of population change: births, deaths, immigration, emigration, returning emigration, net temporary emigration, net non-permanent residents and interprovincial migration, the latter by origin and destination. The Quarterly Demographic Estimates publication contains the most recent estimates as well as a quarterly historical series. It also contains highlights and analysis of the most current demographic trends, as well as a brief description of the concepts, methods and data quality of the estimates.

    Release date: 2022-03-17

  • Table: 84-537-X
    Description:

    This electronic publication contains life tables comprising life expectancy and related estimates by age and sex for Canada, the provinces and territories. Detailed estimates (by single year of age) have been produced for Canada and all of the provinces, except Prince Edward Island, based on two types of complete life tables: three-year estimates (for periods of consecutive three years) and single-year estimates. Aggregated estimates (by five-year age group) have been produced for Prince Edward Island and the three territories separately based on abridged life tables (three-year estimates).

    Release date: 2022-01-24

  • Data Visualization: 71-607-X2020020
    Description:

    This interactive dashboard can be used to visualize the factors of population growth and how they have changed over time for economic regions. The dashboard shows population, population growth, factors of population growth (natural increase, international migration, interprovincial migration, intraprovincial migration), and the proportion of the population by age group. The user can view the data by selecting an economic region of interest as well as a year of interest.

    Release date: 2022-01-13

  • Data Visualization: 71-607-X2020021
    Description:

    This interactive dashboard can be used to visualize the factors of population growth and how they have changed over time for census divisions. The dashboard shows population, population growth, factors of population growth (natural increase, international migration, interprovincial migration, intraprovincial migration), and the proportion of the population by age group. The user can view the data by selecting a census division of interest as well as a year of interest.

    Release date: 2022-01-13

  • Data Visualization: 71-607-X2021030
    Description:

    This interactive dashboard can be used to visualize the factors of population growth and how they have changed over time for rural and urban areas. The dashboard shows population, population growth, factors of population growth (natural increase, international migration, interprovincial migration, intraprovincial migration), and the proportion of the population by age group. Users can view the data by province or territory, as well as by year, age group, and rural or urban area.

    Release date: 2022-01-13

  • Data Visualization: 71-607-X2021022
    Description:

    This interactive dashboard provides an overview of Indigenous populations projections using the most recent results of the Demosim microsimulation projection model. Showing results coming from several projection scenarios, this tool allows users to quickly and easily explore data-such as population counts by geography and age group. Information for the overall Indigenous population as well as for specific Indigenous populations, notably, Registered Indians, First Nations people, Métis and Inuit are presented for all provinces and territories.

    Release date: 2021-10-06

  • Data Visualization: 71-607-X2020018
    Description:

    This interactive dashboard allows the visualization of the age and sex structure of the population of Canada, provinces and territories. The data presented cover the period from 1971 to the most recent year. The dashboard shows the proportion of the total population by broad age group, the proportion of centenarians, the distribution of the population by age and sex, the average age, the number of people aged 15 to 64 per person aged 65 years and older and the sex ratio by age group. Data can be visualized for Canada or for a selected province or territory.

    Release date: 2021-09-29

  • Table: 98-508-X
    Description:

    The Census Profile Standard Error Supplement provides the standard error for each long-form estimate along with the standard Census Profile data for a selected ADA, its corresponding census division (CD) and province/territory, as well as for Canada. It can be downloaded for selected areas or the entire profile in a variety of commonly used formats (e.g., CSV, TAB or IVT). This product will be updated with additional content released on November 29, 2017.

    Release date: 2018-01-19

  • Table: 91-213-X
    Description:

    This publication contains population estimates by age and sex for Canada, provinces, territories, census divisions, census metropolitan areas and economic regions. It also includes, for provinces and territories, estimates by age, sex and marital status as well as estimates for census families.

    The estimates are based on the 2001 Census results, which have been adjusted for net census undercoverage. The publication also includes statistics for the demographic components that were used to produce the population estimates (births, deaths, marriages, divorces, immigration, emigration, net temporary emigration, returning emigration, internal migration and non-permanent residents) by age and sex. In addition, the publication contains highlights of current demographic trends and a description of the methodology.

    The print version of the publication includes a CD-ROM that provides additional data such as a chronological series of estimates by various levels of geography. With regard to provinces and territories, the estimates date back to 1971 (tables and animated age pyramid), 1986 for census divisions, census metropolitan areas and economic regions as well as census families.

    The time series available on the CD-ROM can be easily captured and manipulated by analysts who want to create customized demographic analyses in any spreadsheet program. The population figures can be used, for example, to calculate per-capita rates required for market research, quantitative analysis and planning.

    Release date: 2006-04-04

  • Table: 85-226-X
    Geography: Province or territory
    Description:

    This publication presents data on young offender admissions to custody and community services, with breakdowns by custody (remand, secure, open) and probation, and key case characteristics, such as age, sex, Aboriginal/non-Aboriginal status and most serious offence. In addition, it includes data pertaining to releases from remand, secure custody and open custody, by sex and time served. These breakdowns are presented at the national and provincial/territorial levels.

    Data presented in this publication are drawn from two primary sources: 1) The Youth Custody and Community Services (YCCS) Survey. The objective of this survey is to collect and analyse information on the application of dispositions under the Young Offenders Act from provincial and territorial agencies responsible for youth corrections and programs. 2) The Youth Key Indicator Report (YKIR). This survey measures the average counts of youth in custody (remand, secure and open) and on probation. The YKIR describes average daily counts (caseload), which measure the volume of offenders held in custody or on probation on an average day at month-end. This information also provides an examination of youth incarceration and probation rates in Canada.

    Release date: 2002-10-09
Analysis (28)

Analysis (28) (0 to 10 of 28 results)

  • Articles and reports: 91F0015M2020002
    Description:

    This document describes the production of demographic estimates for the second quarter of 2020 in the context of COVID-19. Limits to the usual approaches and alternate strategies that were considered are presented for each demographic component. When adjustments to the usual methodology were made, they are summarized in a succinct manner. A broad overview of potential adjustments for future releases of demographic estimates is also provided.

    Release date: 2020-09-29

  • Articles and reports: 91F0015M2020001
    Description:

    This document describes the production of demographic estimates for the first quarter of 2020 in the context of COVID-19. Limits to the usual approaches and alternate strategies that were considered are presented for each demographic component. When adjustments to the usual methodology were made, they are summarized in a succinct manner. A broad overview of potential adjustments for future releases of demographic estimates is also provided.

    Release date: 2020-06-18

  • Articles and reports: 75F0002M2016003
    Description:

    Periodically, income statistics are updated to reflect the most recent population estimates from the Census. Accordingly, with the release of the 2014 data from the Canadian Income Survey, Statistics Canada has revised estimates for 2006 to 2013 using new population totals from the 2011 Census. This paper provides unrevised estimates alongside revised estimates for key income series, indicating where the revisions were significant.

    Release date: 2016-07-08

  • Stats in brief: 11-627-M2015003
    Description:

    The infographic in question, entitled Population Estimates, Canada, 2015, provides a concise accurate snapshot of the most recent demographic trends in Canada, related to demographic growth and aging, at the national, provincial and territorial levels.

    Release date: 2015-09-29

  • Articles and reports: 75F0002M2012003
    Description:

    The release of the 2010 Survey of Labour and Income Dynamics (SLID) data coincided with a historical revision of the 2006 to 2009 results. The survey weights were updated to take into account new population estimates based on the 2006 Census rather than the 2001 Census. This paper presents a summary of the impact of this revision on the 2006-2009 survey estimates.

    Release date: 2012-11-01

  • Articles and reports: 12-001-X201200111682
    Description:

    Sample allocation issues are studied in the context of estimating sub-population (stratum or domain) means as well as the aggregate population mean under stratified simple random sampling. A non-linear programming method is used to obtain "optimal" sample allocation to strata that minimizes the total sample size subject to specified tolerances on the coefficient of variation of the estimators of strata means and the population mean. The resulting total sample size is then used to determine sample allocations for the methods of Costa, Satorra and Ventura (2004) based on compromise allocation and Longford (2006) based on specified "inferential priorities". In addition, we study sample allocation to strata when reliability requirements for domains, cutting across strata, are also specified. Performance of the three methods is studied using data from Statistics Canada's Monthly Retail Trade Survey (MRTS) of single establishments.

    Release date: 2012-06-27

  • Articles and reports: 12-001-X201000111247
    Description:

    In this paper, the problem of estimating the variance of various estimators of the population mean in two-phase sampling has been considered by jackknifing the two-phase calibrated weights of Hidiroglou and Särndal (1995, 1998). Several estimators of population mean available in the literature are shown to be the special cases of the technique developed here, including those suggested by Rao and Sitter (1995) and Sitter (1997). By following Raj (1965) and Srivenkataramana and Tracy (1989), some new estimators of the population mean are introduced and their variances are estimated through the proposed jackknife procedure. The variance of the chain ratio and regression type estimators due to Chand (1975) are also estimated using the jackknife. A simulation study is conducted to assess the efficiency of the proposed jackknife estimators relative to the usual estimators of variance.

    Release date: 2010-06-29

  • Articles and reports: 12-001-X200900211036
    Description:

    Surveys are frequently required to produce estimates for subpopulations, sometimes for a single subpopulation and sometimes for several subpopulations in addition to the total population. When membership of a rare subpopulation (or domain) can be determined from the sampling frame, selecting the required domain sample size is relatively straightforward. In this case the main issue is the extent of oversampling to employ when survey estimates are required for several domains and for the total population. Sampling and oversampling rare domains whose members cannot be identified in advance present a major challenge. A variety of methods has been used in this situation. In addition to large-scale screening, these methods include disproportionate stratified sampling, two-phase sampling, the use of multiple frames, multiplicity sampling, panel surveys, and the use of multi-purpose surveys. This paper illustrates the application of these methods in a range of social surveys.

    Release date: 2009-12-23

  • Articles and reports: 91F0015M2007008
    Geography: Canada
    Description:

    If low fertility, aging, demographic growth and ethnocultural diversity are phenomena that accurately describe Canada overall, the same patterns may not necessarily hold true for urban and rural areas. The rhythm and sources of demographic growth have often been significantly different from one area to the next, which would suggest that the situation across Canada stems from the aggregation of different demographies, which are variable between types of regions.

    The objective of this study is to examine demographic differences between urban and rural areas in Canada by analyzing communities along a gradient ranging from the largest metropolitan regions to the most rural areas. Applying a geographic structure to Census data from 1971 to 2001 that maintains constant borders over time, the authors analyze population growth across eight types of urban and rural regions; as well as the contribution of immigration, fertility and internal migration to growth differentials; and the consequences of these observed demographic differences in terms of aging and ethnocultural diversity.

    The study finds that growth is concentrated in the most metropolitan areas in the country and in the rural areas on which they have a strong influence, and diminished as the degree of rurality increases. Internal migration between the different types of areas has largely contributed to this differential growth: the most urbanized areas-with the exception of Montréal, Toronto and Vancouver-underwent significant migratory gains as well as strong growth. This was also the case with the rural regions that had a strong metropolitan influence. The most rural regions experienced a weak demographic growth, in some cases a decline, despite having higher fertility than other regions. The strong growth in the three largest urban areas in Canada-Montréal, Toronto and Vancouver-is largely attributed to the high numbers of international immigrants who decided to settle there. The concentration of newcomers in these regions helped increase the gap between these three areas and the rest of the country in terms of ethnocultural diversity.

    Release date: 2007-04-26

  • Articles and reports: 15-206-X2007008
    Description:

    This study is the third in a series related to the project launched in fall 2003 by the Canadian Productivity Accounts of Statistics Canada in order to compare productivity levels between Canada and the United States. The study's purpose is to examine the comparability of the components of the labour market of these two countries that serve as the sources of the differences in the gross domestic product (GDP) per capita between them. This study can be subdivided into three sections. The first section develops and illustrates the conceptual and methodological framework required to make Canada/United States estimates of labour and population comparable in terms of level. The second section presents revisions and an update to 2005 of the GDP per capita differences and its components, which were presented for the first time in the study by Baldwin, Maynard and Wong (2005), which covered the period from 1994 to 2002, at the time.

    Lastly, using the year 2000 as an example, this study tries to quantify the "statistical error" that arises from using inadequate statistics or statistics not designed for this type of international comparison. This exercise reveals that the comparability of data on hours worked per job is especially crucial to identifying the origin of the differences in GDP per capita between labour productivity and hours worked per capita. The worst error involves comparing hours worked estimated from an employer survey with those obtained from a household survey. This type of comparison between Canada and the United States results in assigning an estimated 72% of the difference in GDP per capita to labour productivity when, in reality, it counted for barely 36% in 2000.

    Release date: 2007-03-26
Reference (5)

Reference (5) ((5 results))

  • Surveys and statistical programs – Documentation: 84-538-X
    Geography: Canada
    Description:

    This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.

    Release date: 2022-01-24

  • Surveys and statistical programs – Documentation: 71F0031X2006003
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2006. Some of these modifications include changes to the population estimates, improvements to the public and private sector estimates and historical updates to several small Census Agglomerations (CA).

    Release date: 2006-01-25

  • Surveys and statistical programs – Documentation: 75F0010X
    Description:

    The publication guides the user through the vast array of labour market and income data sources. It offers detailed descriptions of the various surveys, including the data collected. A summary chart gives snapshot information for comparisons.

    Release date: 2000-09-13

  • Surveys and statistical programs – Documentation: 11-522-X19990015682
    Description:

    The application of dual system estimation (DSE) to matched Census / Post Enumeration Survey (PES) data in order to measure net undercount is well understood (Hogan, 1993). However, this approach has so far not been used to measure net undercount in the UK. The 2001 PES in the UK will use this methodology. This paper presents the general approach to design and estimation for this PES (the 2001 Census Coverage Survey). The estimation combines DSE with standard ratio and regression estimation. A simulation study using census data from the 1991 Census of England and Wales demonstrates that the ratio model is in general more robust than the regression model.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 92-370-X
    Description:

    Series description

    This series includes five general reference products - the Preview of Products and Services; the Catalogue; the Dictionary; the Handbook and the Technical Reports - as well as geography reference products - GeoSuite and Reference Maps.

    Product description

    Technical Reports examine the quality of data from the 1996 Census, a large and complex undertaking. While considerable effort was taken to ensure high quality standards throughout each step, the results are subject to a certain degree of error. Each report looks at the collection and processing operations and presents results from data evaluation, as well as notes on historical comparability.

    Technical Reports are aimed at moderate and sophisticated users but are written in a manner which could make them useful to all census data users. Most of the technical reports have been cancelled, with the exception of Age, Sex, Marital Status and Common-law Status, Coverage and Sampling and Weighting. These reports will be available as bilingual publications as well as being available in both official languages on the Internet as free products.

    This report deals with coverage errors, which occured when persons, households, dwellings or families were missed by the 1996 Census or enumerated in error. Coverage errors are one of the most important types of error since they affect not only the accuracy of the counts of the various census universes but also the accuracy of all of the census data describing the characteristics of these universes. With this information, users can determine the risks involved in basing conclusions or decisions on census data.

    Release date: 1999-12-14
Date modified: