62 datasets found
  1. a

    2021 Short Form Census - Ward Data

    • hub.arcgis.com
    • open.ottawa.ca
    • +1more
    Updated Nov 28, 2023
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    City of Ottawa (2023). 2021 Short Form Census - Ward Data [Dataset]. https://hub.arcgis.com/datasets/8f75667abca94de8a7d4c467c3bc6f81
    Explore at:
    Dataset updated
    Nov 28, 2023
    Dataset authored and provided by
    City of Ottawa
    License

    https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0

    Description

    The 2021 short form Census questionnaire was sent out to 100% of all households. The 2021 long form Census questionnaire was sent out to 25% of all households. Because one is a census and one is a sample survey, variables that are available in both the 100% data and 25% sample may have different values. For example, the total population of the city taken from the 25% sample could differ from that taken from the 100% data.Source: Statistics Canada, 2021 Census, Custom Tabulation, census profile data for user-specified ward areas. Data received November 2023.Date Created: November 22 2023Update Frequency: Updated with each five-year national Census (next census undertaken in 2026; updated ward data are expected in 2028)Data Steward: Eva WalrondData Steward Email: Eva.walrond@ottawa.caDepartment or Agency: Planning, Real Estate and Economic DevelopmentBranch/Unit: Research & Forecasting

  2. v

    2021 Long Form Census (25% Sample) broken down by neighbourhood

    • opendata.victoria.ca
    Updated Nov 29, 2023
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    City of Victoria (2023). 2021 Long Form Census (25% Sample) broken down by neighbourhood [Dataset]. https://opendata.victoria.ca/datasets/5eaa36372a7646d2945abfb4c3ea7828
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    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    City of Victoria
    License

    https://opendata.victoria.ca/pages/open-data-licencehttps://opendata.victoria.ca/pages/open-data-licence

    Description

    2021 Long Form Census data (25% sample) broken down by neighbourhood. The data breakdown per neighbourhood is a special data request from Statistics Canada, with help from the Capital Regional District. Data were adapted from the 2021 National Household Survey (long form census). Notable differences from the 2016 census data are that Harris Green was not reported in the census (the area is now included in Downtown), and North and South Jubilee are now Jubilee.Data quality:Victoria; City [Census subdivision]; British ColumbiaTotal non-response (TNR) rate, short-form census questionnaire: 4.0%Total non-response (TNR) rate, long-form census questionnaire: 5.3%Source: Statistics Canada, 2021 Census of Population.Focus on Geography Series, 2021 Census - Victoria (Census subdivision) (statcan.gc.ca)

  3. o

    2021 Short Form Census - Sub Area

    • open.ottawa.ca
    • hamhanding-dcdev.opendata.arcgis.com
    • +2more
    Updated Dec 20, 2024
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    City of Ottawa (2024). 2021 Short Form Census - Sub Area [Dataset]. https://open.ottawa.ca/datasets/d4e5098fd89740e6a8893d58804e37df
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    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    City of Ottawa
    Description

    Source: Statistics Canada, 2021 Census, Custom Tabulation, census profile data for user-specified sub areas. Accuracy: For more information about the Census, please visit Statistics Canada website:https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/index-eng.cfmData Steward: Eva WalrondData Steward Email: Eva.walrond@ottawa.caDepartment or Agency: Planning, Real Estate and Economic DevelopmentBranch/Unit: Research & Forecasting

  4. c

    FCC Form 477 Fixed Broadband Deployment Summary by Census Block with...

    • resilience.climate.gov
    Updated Nov 24, 2021
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    ArcGIS Living Atlas Team (2021). FCC Form 477 Fixed Broadband Deployment Summary by Census Block with Provider Data, June 2021 [Dataset]. https://resilience.climate.gov/maps/e2a5949e3ca14368b365506cc8f914a1
    Explore at:
    Dataset updated
    Nov 24, 2021
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This layer is no longer being actively maintained. For the latest broadband availability data from FCC, please see the FCC Broadband Data Collection (BDC). This layer shows fixed broadband availability for every neighborhood in the U.S. and outlying areas for June 2023.This layer is a composite of five sublayers with adjacent scale ranges showing the broadband score across the U.S. and outlying areas, at five different geographies – State, County, Tract, Block Group and Block. The broadband score is an index based on the FCC’s minimum standard of broadband of 25 megabits per second (Mbps) download and 3 Mbps upload. A geography with speeds of 25/3 Mbps is awarded 100 points. Each type of geometry contains housing, population, and internet usage data taken from the following sources:US Census Bureau 2010 Census data (2010)USDA Non-Rural Areas (2013)FCC Form 477 Fixed Broadband Deployment Data (January - June 2021)FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data.Measurement Lab (Jan - June 2021)Broadband offering data from each provider for all geographies are available in related tables. Field Names / Record StructureThis layer includes over 150 attributes relating to reported speed and service information. In addition:Each block includes housing unit, household, and population estimates from the FCC.Each block has an attribute named WaterOnly that indicates if it is entirely water (yes/no).Each block has two attributes indicating whether it is urban or rural (CensusUrbanRural and USDAUrbanRural). For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S.Each block has three attributes indicating whether it is part of a Tribal Block Group, is part of an American Indian/Alaska Native/Native Hawaiian Area (AIANNHA) and the AIANNHA name.US Census and USDA Rurality valuesAmalgamated broadband speed measurement categories based on Form 477. These include:99: All Terrestrial Broadband Plus Satellite98: All Terrestrial Broadband97: Cable Modem96: DSL95: All Other (Electric Power Line, Other Copper Wireline, Other)The FCC Speed Values method is applied to all speeds from all data sources within this service. This includes:Geography: State, County, Tract, Block Group, BlockData source: FCC and M-LabWithin this method, speed values are shown as such:<1 Mbps, reported up to three decimal points>= 1 and < 2 Mbps, rounded to the nearest tenth>= 2 and < 10 Mbps, truncated to the lower integer>= 10 and < 1000 Mbps, rounded to the nearest integer>= 1000 Mbps, the published bandwidth = 1000 MbpsEach sublayer has a varying number of attributes from these sources, depending on what data is available for the level of granularity. The following table displays what information is included with which geometry types: GeometryFCC Form 477 Fixed (Jan - Dec 2020)FCC Demographic Estimates (2019)M-Lab (Jan - Dec 2020)BroadbandNow Avg. Min. Terrestrial Broadband Plan PricesUrban/rural flags (Census and USDA)StateYesYesYesYesNoCountyYesYesYesYesNoTractYesYesNoYesYes (U, R, S)Block GroupYesYesNoYesYes (U, R, S)BlockYesYesNoYesYes (U, R) Additional ResourcesFCC Staff Block EstimatesFixed Broadband Deployment Data from FCC Form 477Digital Divide: Broadband Pricing by State, ZIP Code, and Income Level (BroadbandUSA)Open Internet Measurement (M-Lab)Eligibility Area Map Datasets (USDA)

  5. a

    2021 Long Form Census - Ward Data

    • hub.arcgis.com
    • open.ottawa.ca
    • +1more
    Updated Nov 28, 2023
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    City of Ottawa (2023). 2021 Long Form Census - Ward Data [Dataset]. https://hub.arcgis.com/datasets/59b3ea74ecea4a8a9d7fb797190bbdb8
    Explore at:
    Dataset updated
    Nov 28, 2023
    Dataset authored and provided by
    City of Ottawa
    License

    https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0

    Description

    The 2021 long form Census questionnaire was sent out to 25% of all households. The 2021 short form Census questionnaire was sent out to 100% of all households. Because one is a census and one is a sample survey, variables that are available in both the 100% data and 25% sample may have different values. For example, the total population of the city taken from the 25% sample could differ from that taken from the 100% data.Source: Statistics Canada, 2021 Census, Custom Tabulation, census profile data for user-specified ward areas. Data received November 2023.Date Created: November 22 2023Update Frequency: Updated with each five-year national Census (next census undertaken in 2026; updated ward data are expected in 2028)Data Steward: Eva WalrondData Steward Email: Eva.walrond@ottawa.caDepartment or Agency: Planning, Real Estate and Economic DevelopmentBranch/Unit: Research & Forecasting

  6. 2021 Federal Census: 100% Data (Short Form)

    • data.edmonton.ca
    application/rdfxml +5
    Updated Oct 26, 2023
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    Statistics Canada (2023). 2021 Federal Census: 100% Data (Short Form) [Dataset]. https://data.edmonton.ca/Census/2021-Federal-Census-100-Data-Short-Form-/rw8s-vqrs
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    application/rssxml, tsv, json, csv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Description

    Statistics Canada data from the 2021 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/5bk4-5txu.

    Source: Statistics Canada, 2021 Census of Population, 2023-06-23. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

    Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2023 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

    Missing Values: - Default missing value .. Not available for a specific reference period x Suppressed to meet the confidentiality requirements of the Statistics Act ... Not applicable F Too unreliable to be published

  7. T

    Vital Signs: Income (Median by Place of Residence) – by tract (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Mar 22, 2023
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    (2023). Vital Signs: Income (Median by Place of Residence) – by tract (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Income-Median-by-Place-of-Residence-by/8uv5-nesk
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    csv, tsv, json, application/rssxml, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Mar 22, 2023
    Description

    VITAL SIGNS INDICATOR
    Income (EC4)

    FULL MEASURE NAME
    Household income by place of residence

    LAST UPDATED
    January 2023

    DESCRIPTION
    Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census - https://nhgis.org
    Count 4Pb (1970)
    Form STF3 (1980-1990)
    Form SF3a (2000)

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    Form B19001 (2005-2021; household income by place of residence)
    Form B19013 (2005-2021; median household income by place of residence)
    Form B08521 (2005-2021; median worker earnings by place of employment)

    Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
    1970-2021

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Income derived from the decennial Census data reflects the income earned in the prior calendar year, whereas income derived from the American Community Survey (ACS) data reflects the prior 12 month period; note that this inconsistency has a minor effect on historical comparisons (see Income and Earnings Data section of the ACS General Handbook - https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch09.pdf). ACS 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    Quintile income for 1970-2000 is imputed from decennial Census data using methodology from the California Department of Finance. Bay Area income is the population weighted average of county-level income.

    Income has been inflated using the Consumer Price Index (CPI) for 2021 specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data uses national CPI for 1970. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

  8. TIGER/Line Shapefile, 2021, Nation, U.S., 2020 5-Digit ZIP Code Tabulation...

    • catalog.data.gov
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, Nation, U.S., 2020 5-Digit ZIP Code Tabulation Areas (ZCTA5) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-nation-u-s-2020-5-digit-zip-code-tabulation-areas-zcta5
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

  9. Long-form data quality indicators for education: Canada, provinces and...

    • datasets.ai
    • www150.statcan.gc.ca
    • +3more
    21, 55, 8
    Updated Aug 28, 2024
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    Statistics Canada | Statistique Canada (2024). Long-form data quality indicators for education: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions [Dataset]. https://datasets.ai/datasets/7d0da304-c2d4-4bbd-b7b5-0f8ab7fe6cd1
    Explore at:
    21, 8, 55Available download formats
    Dataset updated
    Aug 28, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    Statistics Canada | Statistique Canada
    Area covered
    Canada
    Description

    Data on long-form data quality indicators for 2021 Census education content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.

  10. Census Public Use Microdata File (PUMF), 2021 - Canada

    • microdata.unhcr.org
    Updated Oct 2, 2023
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    Statistics Canada (2023). Census Public Use Microdata File (PUMF), 2021 - Canada [Dataset]. https://microdata.unhcr.org/index.php/catalog/1007
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    Dataset updated
    Oct 2, 2023
    Dataset authored and provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Time period covered
    2021
    Area covered
    Canada
    Description

    Abstract

    Statistics Canada conducts the Census of Population in order to paint a statistical portrait of Canada and Canadians on one specific day. The census is designed to provide information about people and housing units in Canada by their demographic, social and economic characteristics.

    The Census of Population is a reliable basis for the estimation of the population of the provinces, territories and municipal areas. These counts are essential for maintaining Canada’s equitable representation, as they are used to set electoral boundaries; estimate the demand for services in minority official languages; and calculate federal, provincial and territorial transfer payments.

    The census also provides information about the characteristics of the population and its housing within small geographic areas and for small population groups to support planning, administration, policy development and evaluation activities of governments at all levels. The information provided by the census for these geographic areas and population groups is also used by the private sector as well as data users in their decision-making process.

    In 2021, for the first time, immigrant status and year of immigration was obtained from administrative files provided by Immigration, Refugees and Citizenship Canada (IRCC). These data provide vital information to help understand the living conditions and socioeconomic outcomes of immigrants and their children in Canada.

    Geographic coverage

    Whole country

    Analysis unit

    Household and individual

    Universe

    The census enumerates the entire Canadian population, on a “usual residence” basis (de jure). The population enumerated consists of usual residents of Canada who are Canadian citizens (by birth or by naturalization), landed immigrants and non-permanent residents and their families living with them in Canada. Non-permanent residents are persons who hold a work or student permit, or who claim refugee status.

    The census also counts Canadian citizens and landed immigrants who are temporarily outside the country on Census Day. This includes federal and provincial government employees working outside Canada, Canadian embassy staff posted to other countries, members of the Canadian Forces stationed abroad, all Canadian crew members of merchant vessels and their families. Because people outside the country are enumerated, the Census’ population concept is considered a “modified” de jure census.

    Foreign residents such as representatives of a foreign government assigned to an embassy, high commission or other diplomatic mission in Canada, and residents of another country who are visiting Canada temporarily are not covered by the census.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    For the census long-form, a random sample of 1 in 4 private dwellings in Canada is selected systematically. The sample size was determined to ensure the dissemination of reliable estimates for small areas and small populations. The long-form sample is selected from the 2021 Census of Population dwelling list.

    Mode of data collection

    Other [oth]

  11. T

    Vital Signs: Commute Time (by Place of Residence) – by county (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 4, 2023
    + more versions
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    (2023). Vital Signs: Commute Time (by Place of Residence) – by county (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Time-by-Place-of-Residence-by-/5bqp-dsj6
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    application/rssxml, csv, json, xml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jan 4, 2023
    Description

    VITAL SIGNS INDICATOR
    Commute Time (T3)

    FULL MEASURE NAME
    Commute time by residential location

    LAST UPDATED
    January 2023

    DESCRIPTION
    Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation.htm

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2006-2021
    Form C08136
    Form C08536
    Form B08301
    Form B08301
    Form B08301

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.

    For the American Community Survey (ACS) datasets, 1-year rolling average data was used for all metros, region and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.

    Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute times were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography.

    Census tract data is not available for tracts with insufficient numbers of residents. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary metropolitan statistical areas (MSAs) for the nine other major metropolitan areas.

  12. Long-form data quality indicators for ethnic or cultural origin, population...

    • ouvert.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Feb 8, 2023
    + more versions
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    Statistics Canada (2023). Long-form data quality indicators for ethnic or cultural origin, population group and religion: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions [Dataset]. https://ouvert.canada.ca/data/dataset/755d3315-86b6-495b-bf70-9366c0b268e8
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Feb 8, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Data on long-form data quality indicators for 2021 Census ethnic or cultural origin, population group and religion content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.

  13. Long-form data quality indicators for labour: Canada, provinces and...

    • www150.statcan.gc.ca
    • www12.statcan.gc.ca
    • +2more
    Updated Feb 8, 2023
    + more versions
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    Government of Canada, Statistics Canada (2023). Long-form data quality indicators for labour: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions [Dataset]. http://doi.org/10.25318/9810056901-eng
    Explore at:
    Dataset updated
    Feb 8, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Data on long-form data quality indicators for 2021 Census labour content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.

  14. Short-form data quality indicators: Canada, provinces and territories,...

    • ouvert.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Nov 8, 2023
    + more versions
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    Statistics Canada (2023). Short-form data quality indicators: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions [Dataset]. https://ouvert.canada.ca/data/dataset/a6606728-480e-4614-b90d-e9c297c10afa
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Data on short-form data quality indicators for 2021 Census, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.

  15. o

    2021 Long Form Census - Sub Area

    • open.ottawa.ca
    • communautaire-esrica-apps.hub.arcgis.com
    • +2more
    Updated Dec 20, 2024
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    City of Ottawa (2024). 2021 Long Form Census - Sub Area [Dataset]. https://open.ottawa.ca/items/83170bd7a02a4fc4b98c0124ae952b96
    Explore at:
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    City of Ottawa
    Description

    Source: Statistics Canada, 2021 Census, Custom Tabulation, census profile data for user-specified sub areas. Accuracy: For more information about the Census, please visit Statistics Canada website:https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/index-eng.cfmData Steward: Eva WalrondData Steward Email: Eva.walrond@ottawa.caDepartment or Agency: Planning, Real Estate and Economic DevelopmentBranch/Unit: Research & Forecasting

  16. Long-form data quality indicators for commuting: Canada, provinces and...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Feb 8, 2023
    + more versions
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    Statistics Canada (2023). Long-form data quality indicators for commuting: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions [Dataset]. https://open.canada.ca/data/dataset/f7c5486c-fbda-4e30-be44-9ea2a8cac985
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Feb 8, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Data on long-form data quality indicators for 2021 Census commuting content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.

  17. u

    Long-form data quality indicators for immigration, place of birth, and...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Sep 13, 2024
    + more versions
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    (2024). Long-form data quality indicators for immigration, place of birth, and citizenship: Canada, provinces and territories, census divisions and census subdivisions - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/gov-canada-3166195b-4482-44cb-95db-a75da268a182
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    Dataset updated
    Sep 13, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Data on long-form data quality indicators for 2021 Census immigration, place of birth, and citizenship content, Canada, provinces and territories, census divisions and census subdivisions.

  18. U

    Northern Ireland Census 2021 - MS-B05: Knowledge of Irish

    • statistics.ukdataservice.ac.uk
    csv, xlsx
    Updated Jun 10, 2024
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    Boundary (2024). Northern Ireland Census 2021 - MS-B05: Knowledge of Irish [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/northern-ireland-census-2021-ms-b05-knowledge-of-irish
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    xlsx, csvAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset authored and provided by
    Boundary
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Ireland, Northern Ireland
    Description

    This dataset provides Census 2021 estimates that classify usual residents aged three and over in Northern Ireland by their knowledge of Irish. The estimates are as at census day, 21 March 2021. The knowledge of Irish classification corresponds to the tick box response options on the census questionnaire.

    The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

  19. 2021 Population and Housing Census - Ghana

    • microdata.statsghana.gov.gh
    Updated Jul 12, 2023
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    Ghana Statistical Service (2023). 2021 Population and Housing Census - Ghana [Dataset]. https://microdata.statsghana.gov.gh/index.php/catalog/110
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    Dataset updated
    Jul 12, 2023
    Dataset provided by
    Ghana Statistical Services
    Authors
    Ghana Statistical Service
    Time period covered
    2021
    Area covered
    Ghana
    Description

    Abstract

    The population and housing census (PHC) is the unique source of reliable and comprehensive data about the size of population and also on major socio-economic & socio-demographic characteristics of the country. It provides data on geographic and administrative distribution of population and household in addition to the demographic and socio-economic characteristics of all the people in the country. Generally, it provides for comparing and projecting demographic data, social and economic characteristics, as well as household and housing conditions at all levels of the country’s administrative units and dimensions: national, regional, districts and localities. The data from the census is classified, tabulated and disseminated so that researchers, administrators, policy makers and development partners can use the information in formulating and implementing various multi-sectorial development programs at the national and community levels. Data on all key variables namely area, household, population, economic activity, literacy and education, fertility and child survival, housing conditions and sanitation are collected and available in the census data. The 2021 PHC in Ghana had an overarching goal of generating updated demographic, social and economic data, housing characteristics and dwelling conditions to support national development planning activities.

    Geographic coverage

    National Coverage , Region , District

    Analysis unit

    • Individuals
    • Households
    • Emigrants
    • Absentee population
    • Mortality
    • Type of residence (households and non household)

    Universe

    All persons who spent census night (midnight of 27th June 2021) in Ghana

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    This 10% sample data for the 2021 PHC is representative at the district/subdistrict level and also by the urban rural classification.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    GSS developed two categories of instruments for the 2021 PHC: the listing form and the enumeration instruments. The listing form was only one, while the enumeration instruments comprised six questionnaires, designated as PHC 1A, PHC 1B, PHC 1C, PHC 1D, PHC 1E and PHC 1F. The PHC 1A was the most comprehensive with the others being its subsets.

    1. Listing Form: The listing form was developed to collect data on type of structures, level of completion, whether occupied or vacant and use(s) of the structures. It was also used to collect information about the availability, number and types of toilet facilities in the structures. It was also used to capture the number of households in a structure, number of persons in households and the sex of the persons residing in the households if occupied. Finally, the listing form was used to capture data on non-household populations such as the population in institutions, floating population and sex of the non-household populations.

    2. PHC 1A: The PHC 1A questionnaire was used to collect data from all households in the country. Primarily, it was used to capture household members and visitors who spent the Census Night in the dwelling of the household, and their relationship with the head of the household. It was also used to collect data on homeless households. Members of the households who were absent were enumerated at the place where they had spent the Census Night. The questionnaire was also used to collect the following household information: emigration; socio-demographic characteristics (sex, age, place of birth and enumeration, survival status of parents, literacy and education; economic activities; difficulty in performing activities; ownership and usage of information, technology and communication facilities; fertility; mortality; housing characteristics and conditions and sanitation.

    3. PHC 1B: The PHC 1B questionnaire was used to collect data from persons in stable institutions comprising boarding houses, hostels and prisons who were present on Census Night. Other information that was captured with this instrument are socio-demographic characteristics, literacy and education, economic activities, difficulty in performing activities; ownership and usage of information, technology and communication facilities; fertility; mortality; housing characteristics and conditions and sanitation.

    4. PHC 1C: The PHC 1C questionnaire was used to collect data from persons in “unstable” institutions such as hospitals and prayer camps who were present at these places on Census Night. The instrument was used to capture only the socio-demographic characteristics of individuals.

    5. PHC 1D: The PHC 1D questionnaire was used to collect data from the floating population. This constitutes persons who were found at airports, seaports, lorry stations and similar locations waiting for or embarking on long-distance travel, as well as outdoor sleepers on Census Night. The instrument captured the socio-demographic information of individuals.

    6. PHC 1E: All persons who spent the Census Night at hotels, motels and guest houses were enumerated using the PHC 1E. The content of the questionnaire was similar to that of the PHC 1D.

    7. PHC 1F: The PHC 1F questionnaire was administered to diplomats in the country.

    Cleaning operations

    The Census data editing was implemented at three levels: 1. data editing by enumerators and supervisors during data collection 2. data editing was done at the regional level by the regional data quality monitors during data collection 3. Final data editing was done at the national level using the batch edits in CSPro and STATA Data editing and cleaning was mainly digital.

    Response rate

    100 percent

    Data appraisal

    A post Enumeration Survey (PES) was conducted to assess the extent of coverage and content error.

  20. Northern Ireland Census 2021 - MS-B15: National identity - basic detail

    • statistics.ukdataservice.ac.uk
    csv, xlsx
    Updated Jun 10, 2024
    + more versions
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2024). Northern Ireland Census 2021 - MS-B15: National identity - basic detail [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/northern-ireland-census-2021-ms-b15-national-identity-person-based-basic-detail
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    xlsx, csvAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Northern Ireland Statistics and Research Agency
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Bedford-Stuyvesant - JFK Airport, Ireland, Northern Ireland
    Description

    This dataset provides Census 2021 estimates that classify usual residents in Northern Ireland by their national identity (person based). The estimates are as at census day, 21 March 2021. The national identity classification used is an 8-category classification corresponding to selected tick box options on the census questionnaire. This dataset is mutually exclusive; respondents are included in one group only (for example, this classification includes a 'British only' group, 'Irish only' group, and 'British and Irish only' group).

    The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

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City of Ottawa (2023). 2021 Short Form Census - Ward Data [Dataset]. https://hub.arcgis.com/datasets/8f75667abca94de8a7d4c467c3bc6f81

2021 Short Form Census - Ward Data

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Dataset updated
Nov 28, 2023
Dataset authored and provided by
City of Ottawa
License

https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0

Description

The 2021 short form Census questionnaire was sent out to 100% of all households. The 2021 long form Census questionnaire was sent out to 25% of all households. Because one is a census and one is a sample survey, variables that are available in both the 100% data and 25% sample may have different values. For example, the total population of the city taken from the 25% sample could differ from that taken from the 100% data.Source: Statistics Canada, 2021 Census, Custom Tabulation, census profile data for user-specified ward areas. Data received November 2023.Date Created: November 22 2023Update Frequency: Updated with each five-year national Census (next census undertaken in 2026; updated ward data are expected in 2028)Data Steward: Eva WalrondData Steward Email: Eva.walrond@ottawa.caDepartment or Agency: Planning, Real Estate and Economic DevelopmentBranch/Unit: Research & Forecasting

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