8 datasets found
  1. d

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1961 - Wide...

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    + more versions
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    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1961 - Wide Format (CSV) (Version 2023-03) [Dataset]. https://search.dataone.org/view/sha256%3A1a1f6023207c72d67fe9d1ee69c135e065f43b779ab8183e86db6cc2af665bd2
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    Time period covered
    Jan 1, 1961
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

  2. B

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1971 - Wide...

    • borealisdata.ca
    • search.dataone.org
    Updated Apr 4, 2023
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    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1971 - Wide Format (DBF) (Version 2023-03) [Dataset]. http://doi.org/10.5683/SP3/UVI46J
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/UVI46Jhttps://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/UVI46J

    Time period covered
    Jan 1, 1971
    Area covered
    Canada
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

  3. B

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1986 - Wide...

    • borealisdata.ca
    • dataone.org
    Updated Apr 4, 2023
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    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1986 - Wide Format (CSV) (Version 2023-03) [Dataset]. http://doi.org/10.5683/SP3/NRGZVG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/NRGZVGhttps://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/NRGZVG

    Time period covered
    Jan 1, 1986
    Area covered
    Canada
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

  4. B

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2011 - Long...

    • borealisdata.ca
    Updated Apr 4, 2023
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    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2011 - Long Format (DTA) (Version 2023-03) [Dataset]. http://doi.org/10.5683/SP3/WXI6NW
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/WXI6NWhttps://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/WXI6NW

    Time period covered
    Jan 1, 2011
    Area covered
    Canada
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

  5. B

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2006 - Long...

    • borealisdata.ca
    Updated Apr 4, 2023
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    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2006 - Long Format (DTA) (Version 2023-03) [Dataset]. http://doi.org/10.5683/SP3/FIEDZL
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/FIEDZLhttps://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/FIEDZL

    Time period covered
    Jan 1, 2006
    Area covered
    Canada
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

  6. B

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2021 - Long...

    • borealisdata.ca
    Updated Apr 4, 2023
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    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2021 - Long Format (DTA) (Version 2023-03) [Dataset]. http://doi.org/10.5683/SP3/V71S51
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/V71S51https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/V71S51

    Time period covered
    Jan 1, 2021
    Area covered
    Canada
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

  7. B

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2011 - Wide...

    • borealisdata.ca
    • dataone.org
    Updated Apr 4, 2023
    Share
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    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 2011 - Wide Format (DBF) (Version 2023-03) [Dataset]. http://doi.org/10.5683/SP3/5PF6V1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/5PF6V1https://borealisdata.ca/api/datasets/:persistentId/versions/4.0/customlicense?persistentId=doi:10.5683/SP3/5PF6V1

    Time period covered
    Jan 1, 2011
    Area covered
    Canada
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

  8. B

    UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1961 - Wide...

    • borealisdata.ca
    Updated Apr 4, 2023
    Share
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    Click to copy link
    Link copied
    Close
    Cite
    UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1961 - Wide Format (DBF) (Version 2023-03) [Dataset]. http://doi.org/10.5683/SP3/BKS4XG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    Borealis
    Authors
    UNI-CEN Project
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/BKS4XGhttps://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/BKS4XG

    Time period covered
    Jan 1, 1961
    Area covered
    Canada
    Description

    UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

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UNI-CEN Project (2023). UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1961 - Wide Format (CSV) (Version 2023-03) [Dataset]. https://search.dataone.org/view/sha256%3A1a1f6023207c72d67fe9d1ee69c135e065f43b779ab8183e86db6cc2af665bd2

UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1961 - Wide Format (CSV) (Version 2023-03)

Explore at:
Dataset updated
Dec 28, 2023
Dataset provided by
Borealis
Authors
UNI-CEN Project
Time period covered
Jan 1, 1961
Description

UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

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