4 datasets found
  1. d

    Population Projections for Canada, Provinces, and Territories 2010-2036...

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Population Projections for Canada, Provinces, and Territories 2010-2036 [Excel] [Dataset]. https://search.dataone.org/view/sha256%3A27d826db20a35f45fe509bb781d6a287fa07a10d70693dfd4c2ec57b229cb1be
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Time period covered
    Jan 1, 2010 - Jan 1, 2036
    Area covered
    Canada
    Description

    Statistics Canada has published five sets of population projections for Canada, provinces and territories since 1974, with the last report in 1994. The projections issued on a regular basis ensure methodologically and numerically consistent and comparable population projections at the national and provincial/territorial level. This report contains Statistics Canada's first population projections to the year 2026. It also describes the methodology and the assumptions and provides a brief analy sis of the results. The projections in this report use the 2000 preliminary population estimates as their base which are based on the 1996 Census. They take into account emerging demographic trends, primarily based on recent changes in the components of population growth. These include the notable changes in immigration target levels, a further reduction in fertility level, a continued increase in life expectancy, and significant changes in interprovincial migration trends, especially the reduction of out-migration trends in the Atlantic provinces.There has also been a significant upward revision in emigration estimates since 1996. The new projections take into consideration the impact of this change on the dynamics of future population growth.

  2. f

    Table_2_The changing relationship between health risk behaviors and...

    • frontiersin.figshare.com
    docx
    Updated Jun 21, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Guang Yang; Carl D’Arcy (2023). Table_2_The changing relationship between health risk behaviors and depression among birth cohorts of Canadians 65+, 1994–2014.DOCX [Dataset]. http://doi.org/10.3389/fpsyt.2022.1078161.s002
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Frontiers
    Authors
    Guang Yang; Carl D’Arcy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    Background and objectiveThe older adult residents of Canada form an increasingly larger proportion of the population and are becoming better educated and have more income. Depression is a common mental disorder, particularly among seniors. Several health risk behaviors–physical inactivity, tobacco use, and alcohol consumption–are linked to mental health problems. This study examines whether these health risk behaviors and their association with depression among Canadians 65+ born in eight cohorts between 1910–1914 and 1945–1949, have changed.MethodsPooled data drawn from 11 nationally representative health surveys conducted by Statistics Canada between 1994 and 2014 are analyzed–88,675 survey participants met inclusion criteria. Depression was assessed by the Composite International Diagnostic Interview–Short Form. Health risk behaviors examined were physical activity/inactivity, smoking, and alcohol use. A Cochran Armitage trend test for categorical outcomes and a log-binomial modeling for binary outcomes were used to estimate the risk ratios across cohorts.ResultsThe proportions of Canadians 65+ who are physically active, regular drinkers, and regular smokers have increased; however, depression prevalence fluctuated non-significantly. Depression increased among all health risk behaviors, particularly in recent birth cohorts. Depression among physically inactive seniors, current smokers, and non-drinkers was significantly higher than among active, non-smokers, and regular drinkers (all P < 0.05). Physical inactivity and smoking-attributable depression risk showed an increasing linear trend across birth cohorts (RR = 1.67, P < 0.001; RR = 1.79, P < 0.001). For seniors born between 1915 and 1944, regular drinking was associated with a significant decrease in depression (all P < 0.001), but the protective effects of regular drinking became non-existent in the most recent 1945–1949 birth cohort (RR = 1.09, P < 0.05, after adjusting for covariates).ConclusionInactivity and smoking were consistently associated with a significantly increased risk of depression among Canadian residents 65+, with smoking becoming more firmly connected to depression risk in more recent birth cohorts. In contrast, moderate alcohol use was associated with a decreased risk of depression, but that protective effect ceased in most recent birth cohort. Identifying the changing relationships between health risk behaviors and depression is meaningful for developing prevention strategies for depression and other emotional and mental health problems.

  3. d

    Labour Force Historical Review, 2006 [Canada] [B2020]

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Labour Force Historical Review, 2006 [Canada] [B2020] [Dataset]. https://search.dataone.org/view/sha256%3A0a73c50ec2d84cd6d3d4a30a1a0a708ea26535798b3ac5e0d4c456c1dab58fbd
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Time period covered
    Jan 1, 1976 - Jan 1, 2006
    Area covered
    Canada
    Description

    The Labour Force Survey (LFS) is a household survey carried out monthly by Statistics Canada. Since its inception in 1945, the objectives of the LFS have been to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these categories. Data from the survey provide information on major labour market trends such as shifts in employment across industrial sectors, hours worked, labour force participation and unemployment rates, employment including the self-employed, full and part-time employment, and unemployment. It publishes monthly standard labour market indicators such as the unemployment rate, the employment rate and the participation rate. The LFS is a major source of information on the personal characteristics of the working-age population, including age, sex, marital status, educational attainment, and family characteristics. Employment estimates include detailed breakdowns by demographic characteristics, industry and occupation,job tenure, and usual and actual hours worked. This dataset is designed to provide the user with historical information from the Labour Force Survey. The tables included are monthly and annual, with some dating back to 1976. Most tables are available by province as well as nationally. Demographic, industry, occupation and other indicators are presented in tables derived from the LFS data. The information generated by the survey has expanded considerably over the years with a major redesign of the survey content in 1976 and again in 1997, and provides a rich and detailed picture of the Canadian labour market. Some changes to the Labour Force Survey (LFS) were introduced which affect data back to 1987. There are three reasons for this revision: The revision enables the use of improved population benchmarks in the LFS estimation process. These improved benchmarks provide better information on the number of non-permanent residents There are changes to the data for the public and private sectors from 1987 to 1999. In the past, the data on the public and private sectors for this period were based on an old definition of the public sector. The revised data better reflects the current public sector definition, and therefore result in a longer time series for analysis. The geographic coding of several small Census Agglomerations (CA) has been updated historically from 1996 urban centre boundaries to 2001 CA boundaries. This affects data from January 1987 to December 2004. It is important to note that the changes to almost all estimates are very minor, with the exception of the public sector series and some associated industries from 1987 to 1999. Rates of unemployment, employment and participation are essentially unchanged, as are all key labour market trends. The article titled Improvements in 2006 to the LFS (also under the LFS Documentation button) provides an overview of the effect of these changes on the estimates. The seasonally-adjusted tables have been revised back three years (beginning with January 2004) based on the latest seasonal output.

  4. a

    Population and dwelling counts Hamilton CMA and CSD 2021

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated May 27, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    jadonvs_McMaster (2022). Population and dwelling counts Hamilton CMA and CSD 2021 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/items/73b0fbd14eaf4069b26583eddb77060f
    Explore at:
    Dataset updated
    May 27, 2022
    Dataset authored and provided by
    jadonvs_McMaster
    Area covered
    Hamilton
    Description

    Frequency: OccasionalTable: 98-10-0003-01Release date: 2022-02-09Geography: Census subdivision, Census metropolitan area, Census agglomerationUniverse: All persons, 2021 and 2016 censuses – 100% dataVariable List: Population and dwelling counts (13)List of abbreviations and acronyms found within various Census products.(https://www12.statcan.gc.ca/census-recensement/2021/ref/symb-ab-acr-eng.cfm)Footnotes appear in brackets in text.1) Content considerationsThe 2021 Census population counts for a particular geographic area represent the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be non-permanent residents. For most areas, there is little difference between the number of usual residents and the number of people staying in the area on Census Day. For certain places, however, such as tourist or vacation areas, or those including large work camps, the number of people staying in that area at any particular time could significantly exceed the number of usual residents shown here. The population counts include Canadians living in other countries, but do not include foreign residents living in Canada. Given these differences, users are advised not to interpret population counts as being the number of people living in the reported dwellings.The dwelling counts refer to total private dwellings and private dwellings occupied by usual residents in Canada. The census dwelling counts do not include collective dwellings, which are dwellings of a commercial, institutional or communal nature. The usual residents in collective dwellings are, however, included in the population counts.Changes occur to the names, boundaries and other characteristics of geographic areas (e.g., census subdivisions may amalgamate, or there may be an annexation or a change of name or status). Since the geographic framework is used for census data collection, the geographic reference date must be set several months before the date of the census in order to have these changes made in time. For the 2021 Census, the geographic reference date was January 1, 2021.Land area is the area in square kilometres of the land-based portions of standard geographic areas. The data are unofficial, and are provided for the sole purpose of calculating population density. Land area data for the standard geographic areas reflect the boundaries in effect on January 1, 2021 (the geographic reference date for the 2021 Census of Canada).DefinitionsThe Census Dictionary is a reference document which contains detailed definitions of Census of Population concepts, universes, variables, and geographic terms, as well as historical informationIncompletely enumerated reserves and settlementsIn 2021, a total of 63 census subdivisions defined as reserves and settlements were incompletely enumerated. For these reserves and settlements, dwelling enumeration was either not permitted or could not be completed because of the various reasons below.This represents an increase compared with the 14 census subdivisions defined as reserves and settlements that were incompletely enumerated in the 2016 Census. Health and safety restrictions put in place to slow the spread of COVID-19 and natural events (including evacuations because of forest fires) contributed to the incomplete enumeration of many reserves and settlements.The 2021 Census population and dwelling counts are not available for the 63 incompletely enumerated reserves and settlements, and are not included in 2021 Census tabulations. Data for geographic areas containing one or more of these reserves and settlements are noted accordingly. Because of the missing data, users are cautioned that—for the affected geographic areas—comparisons (e.g., percentage change) between 2016 and 2021 may not be precise. The impact of the missing data for higher-level geographic areas (Canada, provinces and territories, census metropolitan areas and census agglomerations) is usually very/ small. However, the impact can be significant for lower-level geographic areas (e.g., census divisions), where incompletely enumerated reserves and settlements account for a higher proportion of the population. This is especially true for lower-level geographic areas where a particular reserve or settlement was incompletely enumerated for the 2021 Census but enumerated for the 2016 Census and, vice versa.Adjustment of population countsStatistics Canada is committed to protect the privacy of all Canadians and the confidentiality of the data they provide to us. As part of this commitment, some population counts of geographic areas are adjusted in order to ensure confidentiality.Counts of the total population are rounded to a base of 5 for any dissemination block having a population of less than 15. Population counts for all standard geographic areas above the dissemination block level are derived by summing the adjusted dissemination block counts. The adjustment of dissemination block counts is controlled to ensure that the population counts for dissemination areas will always be within 5 of the actual values. The adjustment has no impact on the population counts of census divisions and large census subdivisions. Dwelling counts are not adjusted.Difference between census counts and population estimates.The Census of Population is designed to conduct a complete count of the population. Inevitably, however, some individuals will not be enumerated (undercoverage), while others, usually less numerous, will be enumerated more than once (overcoverage).To determine the number of people who were missed or counted more than once, Statistics Canada conducts postcensal studies of the coverage of the census population, using representative samples of the population. Results of these studies are usually available two years after Census Day. They are used, in combination with census figures and other sources, to develop the population estimates produced by Statistics Canada on a regular basis. Population estimates are used for equalization payments, to follow trends in the Canadian population on a quarterly basis and to understand the underlying components of population change (for example, births, deaths, immigrants, emigrants and non-permanent residents). Population estimates differ from census counts and are usually higher, because census counts are not adjusted for under-coverage or over-coverage.Cite: Statistics Canada. Table 98-10-0003-01 Population and dwelling counts: Census metropolitan areas, census agglomerations and census subdivisions (municipalities)https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=9810000301

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statistics Canada (2023). Population Projections for Canada, Provinces, and Territories 2010-2036 [Excel] [Dataset]. https://search.dataone.org/view/sha256%3A27d826db20a35f45fe509bb781d6a287fa07a10d70693dfd4c2ec57b229cb1be

Population Projections for Canada, Provinces, and Territories 2010-2036 [Excel]

Explore at:
Dataset updated
Dec 28, 2023
Dataset provided by
Borealis
Authors
Statistics Canada
Time period covered
Jan 1, 2010 - Jan 1, 2036
Area covered
Canada
Description

Statistics Canada has published five sets of population projections for Canada, provinces and territories since 1974, with the last report in 1994. The projections issued on a regular basis ensure methodologically and numerically consistent and comparable population projections at the national and provincial/territorial level. This report contains Statistics Canada's first population projections to the year 2026. It also describes the methodology and the assumptions and provides a brief analy sis of the results. The projections in this report use the 2000 preliminary population estimates as their base which are based on the 1996 Census. They take into account emerging demographic trends, primarily based on recent changes in the components of population growth. These include the notable changes in immigration target levels, a further reduction in fertility level, a continued increase in life expectancy, and significant changes in interprovincial migration trends, especially the reduction of out-migration trends in the Atlantic provinces.There has also been a significant upward revision in emigration estimates since 1996. The new projections take into consideration the impact of this change on the dynamics of future population growth.

Search
Clear search
Close search
Google apps
Main menu