54 datasets found
  1. Census Tapestry Segmentation

    • chattadata.org
    • data.chattlibrary.org
    • +1more
    application/rdfxml +5
    Updated Dec 4, 2014
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    Hosted by the University of Tennessee at Chattanooga Open Geospatial Data Portal (2014). Census Tapestry Segmentation [Dataset]. https://www.chattadata.org/dataset/Census-Tapestry-Segmentation/kvr2-hdfg
    Explore at:
    tsv, application/rssxml, application/rdfxml, xml, csv, jsonAvailable download formats
    Dataset updated
    Dec 4, 2014
    Dataset provided by
    Open Geospatial Consortiumhttps://www.ogc.org/
    Authors
    Hosted by the University of Tennessee at Chattanooga Open Geospatial Data Portal
    Description

    Tapestry segment descriptions can be found here..http://www.esri.com/library/brochures/pdfs/tapestry-segmentation.pdf For more than 30 years, companies, agencies, and organizations have used segmentation to divide and group their consumer markets to more precisely target their best customers and prospects. This targeting method is superior to using “scattershot” methods that might attract these preferred groups. Segmentation explains customer diversity, simplifies marketing campaigns, describes lifestyle and lifestage, and incorporates a wide range of data. Segmentation systems operate on the theory that people with similar tastes, lifestyles, and behaviors seek others with the same tastes—“like seeks like.” These behaviors can be measured, predicted, and targeted. Esri’s Tapestry Segmentation system combines the “who” of lifestyle demography with the “where” of local neighborhood geography to create a model of various lifestyle classifications or segments of actual neighborhoods with addresses—distinct behavioral market segments. The tapestry segmentation is almost comical in the sense that it trys to describe such small details of individuals daily lives just by analyzing the data provided on your CENSUS form. These segements are not only ideal for marketing and targeting lifestyles within a geographic location, but they are fun to read. Take the time to find out which segment you live in!

  2. a

    2019 USA Tapestry Segmentation

    • arcgishub.hub.arcgis.com
    Updated Feb 27, 2020
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    ArcGIS Hub (2020). 2019 USA Tapestry Segmentation [Dataset]. https://arcgishub.hub.arcgis.com/datasets/state-19/geoservice
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    Dataset updated
    Feb 27, 2020
    Dataset authored and provided by
    ArcGIS Hub
    Area covered
    Description

    This service offers Esri's Updated Demographics, Census Data, Tapestry Segmentation, and Business Summary data for the United States. Updates are based on the decennial census, Infogroup business data, other public and proprietary data sources, and proprietary models.

    All attributes are available at all geography levels: country, state, county, tract, block group, ZIP code, place, county subdivision, congressional district, core-based statistical area (CBSA), and designated market area (DMA).

    There are over 2,100 attributes in categories such as: population, households, race and ethnicity, educational attainment, marital status, employment by industry and occupation, income, net worth, housing and home value, number of businesses and employees, sales, and many others. Key attributes from the 2010 Census such as population, are presented for reference. Some attributes such as population, income, and home value, are also projected five years to 2021.

    Esri offers Updated Demographics for 2019 and 2024 and Tapestry Segmentation for 2019. Esri provides Census Data for geographies not supplied by the Census Bureau including ZIP Codes and DMAs.

    To view ArcGIS Online items using this service, including the terms of use, visit http://goto.arcgisonline.com/demographics9/USA_Demographics_and_Boundaries_2019.

  3. l

    Data for "A graph neural network framework for spatial geodemographic...

    • figshare.le.ac.uk
    txt
    Updated Aug 24, 2023
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    Stef De Sabbata; Pengyuan Liu (2023). Data for "A graph neural network framework for spatial geodemographic classification" [Dataset]. http://doi.org/10.25392/leicester.data.20503230.v1
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    txtAvailable download formats
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    University of Leicester
    Authors
    Stef De Sabbata; Pengyuan Liu
    License

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

    Description

    This repository contains the geodemographic classifications obtained through different setups of our graph convolutional neural network framework for spatial geodemographic classification (forthcoming), along with three baseline models created using spatial fuzzy c-means and the London Output Area Classification by Singleton and Longley (2015).

    Contains data from CDRC LOAC Geodata Pack by the ESRC Consumer Data Research Centre and data derived from data available from Chris Gale's repository. Contains National Statistics data Crown copyright and database right 2015.

    References

    Singleton A D, Longley P A (2015) The Internal Structure of Greater London: A Comparison of National and Regional Geodemographic Models. Geo: Geography and Environment. Available from: dx.doi.org/10.1002/geo2.7

  4. g

    GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business...

    • datastore.gapmaps.com
    Updated Aug 14, 2024
    + more versions
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    GapMaps (2024). GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data [Dataset]. https://datastore.gapmaps.com/products/gapmaps-premium-demographic-data-by-ags-usa-canada-gis-gapmaps
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    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Canada, United States
    Description

    GapMaps GIS Data sourced from Applied Geographic Solutions includes over 40k Demographic variables across topics including estimates & projections on population, demographics, neighborhood segmentation, consumer spending, crime index & environmental risk available at census block level.

  5. Camden Demographics - Population Segmentation Supplementary Analysis 2015

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    • +1more
    html, pdf
    Updated Aug 24, 2018
    + more versions
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    opendata.camden.gov.uk (2018). Camden Demographics - Population Segmentation Supplementary Analysis 2015 [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/NDFmM2U0NmMtZTAzOS00MzNkLWFmNTgtNmQzNjI0ZmU2ZjNl
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    pdf, htmlAvailable download formats
    Dataset updated
    Aug 24, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    License

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

    Description

    This profile is designed to accompany the Joint Strategic Needs Assessment (JSNA) chapter on Demographics, which looks at segmenting the borough’s population by their most significant health and social care need. This supplement looks at adults (aged 18 and over) instead of the overall population, because the health and social care need segments covered in this section are more common in adults.

  6. l

    2019 Planning Database Tract Population

    • data.lexingtonky.gov
    Updated Oct 23, 2020
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    dbaker_lfucg (2020). 2019 Planning Database Tract Population [Dataset]. https://data.lexingtonky.gov/items/69a30264a9a14329b619b3923c5da665
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    Dataset updated
    Oct 23, 2020
    Dataset authored and provided by
    dbaker_lfucg
    Description

    The 2019 PDB population statistics from the 2010 Census and the 2013-2017 5-year ACS. Data are available at both the tract and block group levels. ACS self-response rates are on the PDB for the first time. The 2019 PDB also contains a one-time segmentation profile statistic from the Census Barriers, Attitudes, and Motivators Survey.For more information on the segmentation profile statistic, please refer to the 2020 Census Predictive Models and Audience Segmentation Report.

  7. d

    Demografy's Consumer Demographics Prediction SaaS

    • datarade.ai
    .json, .csv
    Updated Jun 4, 2021
    + more versions
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    Demografy (2021). Demografy's Consumer Demographics Prediction SaaS [Dataset]. https://datarade.ai/data-products/demografy-s-consumer-demographics-prediction-saas-demografy
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jun 4, 2021
    Dataset authored and provided by
    Demografy
    Area covered
    Italy, Monaco, Luxembourg, Croatia, Poland, Denmark, Sweden, Finland, Moldova (Republic of), Czech Republic
    Description

    Demografy is a privacy by design customer demographics prediction AI platform.

    Core features: - Demographic segmentation - Demographic analytics - API integration - Data export

    Key advantages: - 100% coverage of lists - Accuracy estimate before purchase - GDPR-compliance as no sensitive data is required. Demografy can work with only first names or masked last names

    Use cases: - Actionable analytics about your customers to get demographic insights - Appending missing demographic data to your records for customer segmentation and targeted marketing campaigns - Enhanced personalization knowing you customer better

    Unlike traditional solutions, you don’t need to know and disclose your customer or prospect addresses, emails or other sensitive information. You can provide even masked last names keeping personal data in-house. This makes Demografy privacy by design and enables you to get 100% coverage of your audience since all you need to know is names.

  8. d

    Landing Page

    • datadiscoverystudio.org
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    Esri, Landing Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/adddad0d072d4d97aaf0827760d7a797/html
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    Authors
    Esri
    Area covered
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  9. c

    Merchant Rank - United States of America (Census Tract)

    • carto.com
    Updated Mar 16, 2021
    + more versions
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    Mastercard (2021). Merchant Rank - United States of America (Census Tract) [Dataset]. https://carto.com/spatial-data-catalog/browser/dataset/mc_merchant_ra_571c110f/
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    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Mastercard
    Area covered
    United States
    Description

    Distribution of the total sales index and number of transactions index by a segmentation of merchant classes contained within the retail area

  10. a

    ZIP Code

    • arcgishub.hub.arcgis.com
    Updated Feb 27, 2020
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    ArcGIS Hub (2020). ZIP Code [Dataset]. https://arcgishub.hub.arcgis.com/datasets/zip-code-24/geoservice
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    Dataset updated
    Feb 27, 2020
    Dataset authored and provided by
    ArcGIS Hub
    Area covered
    Description

    This service offers Esri's Updated Demographics, Census Data, Tapestry Segmentation, and Business Summary data for the United States. Updates are based on the decennial census, Infogroup business data, other public and proprietary data sources, and proprietary models.

    All attributes are available at all geography levels: country, state, county, tract, block group, ZIP code, place, county subdivision, congressional district, core-based statistical area (CBSA), and designated market area (DMA).

    There are over 2,100 attributes in categories such as: population, households, race and ethnicity, educational attainment, marital status, employment by industry and occupation, income, net worth, housing and home value, number of businesses and employees, sales, and many others. Key attributes from the 2010 Census such as population, are presented for reference. Some attributes such as population, income, and home value, are also projected five years to 2021.

    Esri offers Updated Demographics for 2019 and 2024 and Tapestry Segmentation for 2019. Esri provides Census Data for geographies not supplied by the Census Bureau including ZIP Codes and DMAs.

    To view ArcGIS Online items using this service, including the terms of use, visit http://goto.arcgisonline.com/demographics9/USA_Demographics_and_Boundaries_2019.

  11. a

    USA_Tapestry

    • data.acgov.org
    Updated May 1, 2014
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    Esri Hackathons (2014). USA_Tapestry [Dataset]. https://data.acgov.org/maps/cc7100a483ef41b997cea94d388e94be
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    Dataset updated
    May 1, 2014
    Dataset authored and provided by
    Esri Hackathons
    Area covered
    Description

    This map shows the dominant lifestyle segment in an area in 2012, based on Esri's Tapestry Segmentation system. The map displays the dominant segment's LifeMode summary group color. The "dominant" segment is most useful at at tract and block group levels.

    Tapestry Segmentation, Esri's geodemographic market segmentation system, classifies U.S. neighborhoods into 65 segments based on their socioeconomic and demographic composition. For a broader view of markets, segments are grouped into 12 LifeMode Summary Groups that reflect lifestyles/life stages and 11 Urbanization Summary Groups that show levels of affluence and population density.

    The geography depicts States at greater than 50m scale, Counties at 7.5m to 50m scale, Census Tracts at 200k to 7.5m scale, and Census Block Groups at less than 200k scale.

    Scale Range: 1:591,657,528 down to 1:72,224

    For more information on this map, including our terms of use, visit us online at http://goto.arcgisonline.com/maps/Demographics/USA_Tapestry

  12. l

    2019 Planning Database Tract All

    • data.lexingtonky.gov
    Updated Oct 24, 2020
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    Lexington-Fayette Urban County Government (2020). 2019 Planning Database Tract All [Dataset]. https://data.lexingtonky.gov/items/348b13203ead456ea88692b47492d732
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    Dataset updated
    Oct 24, 2020
    Dataset authored and provided by
    Lexington-Fayette Urban County Government
    Description

    The 2019 PDB contains select operational, demographic, and socio-economic statistics from the 2010 Census and the 2013-2017 5-year ACS. Data are available at both the tract and block group levels. ACS self-response rates are on the PDB for the first time. The 2019 PDB also contains a one-time segmentation profile statistic from the Census Barriers, Attitudes, and Motivators Survey.For more information on the segmentation profile statistic, please refer to the 2020 Census Predictive Models and Audience Segmentation Report.

  13. c

    Consumer Profiles - Italy (Census Areas)

    • carto.com
    Updated Nov 16, 2021
    + more versions
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    Michael Bauer International (2021). Consumer Profiles - Italy (Census Areas) [Dataset]. https://carto.com/spatial-data-catalog/browser/dataset/mbi_consumer_pr_952d3d57/
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    Dataset updated
    Nov 16, 2021
    Dataset authored and provided by
    Michael Bauer International
    Area covered
    Italy
    Description

    The MB International Consumer Styles describe 10 different, but within the segment widely homogenous, types usable for market segmentation and determination of target groups.

  14. w

    Camden Demographics - Population Segmentation 2015

    • data.wu.ac.at
    • data.europa.eu
    html, pdf
    Updated Aug 24, 2018
    + more versions
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    opendata.camden.gov.uk (2018). Camden Demographics - Population Segmentation 2015 [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/NDUwYjU2NTItZjFkZS00YTc4LThlYTQtYTc0YzM5OGFmNTNk
    Explore at:
    html, pdfAvailable download formats
    Dataset updated
    Aug 24, 2018
    Dataset provided by
    opendata.camden.gov.uk
    License

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

    Area covered
    Camden Town
    Description

    This factsheet breaks down Camden’s population by looking at health conditions, and then by their age, sex, ethnicity, and deprivation. Understanding the size and characteristics of each segment helps us plan healthcare resources and service delivery effectively for each group, as well as the population in general.

  15. l

    2019 Planning Database Tract Housing Units

    • data.lexingtonky.gov
    Updated Oct 24, 2020
    + more versions
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    Lexington-Fayette Urban County Government (2020). 2019 Planning Database Tract Housing Units [Dataset]. https://data.lexingtonky.gov/items/28d5d7570d28462da7b131ab8627e3fc
    Explore at:
    Dataset updated
    Oct 24, 2020
    Dataset authored and provided by
    Lexington-Fayette Urban County Government
    Description

    The 2019 PDB housing unit statistics from the 2010 Census and the 2013-2017 5-year ACS. Data are available at both the tract and block group levels. ACS self-response rates are on the PDB for the first time. The 2019 PDB also contains a one-time segmentation profile statistic from the Census Barriers, Attitudes, and Motivators Survey.For more information on the segmentation profile statistic, please refer to the 2020 Census Predictive Models and Audience Segmentation Report.

  16. C3RO demographics analysis

    • figshare.com
    txt
    Updated Jan 8, 2024
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    C3RO; Kareem Wahid; Clifton D. Fuller (2024). C3RO demographics analysis [Dataset]. http://doi.org/10.6084/m9.figshare.24021591.v2
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jan 8, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    C3RO; Kareem Wahid; Clifton D. Fuller
    License

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

    Description

    For secondary analysis of C3RO data. These CSV files were generated for each disease site separately which can then be used to regression modeling. More information on this data can be found in the accompanying preprint: https://www.medrxiv.org/content/10.1101/2023.08.30.23294786v2.Original C3RO data can be found here: https://figshare.com/articles/dataset/Large-scale_crowdsourced_radiotherapy_segmentations_across_a_variety_of_cancer_sites/21074182.Version history:v2: Jan 7, 2023. Included additional column for HD95 binary data.

  17. Forward Sortation Areas - 2011

    • ressouces-fr-covid19canada.hub.arcgis.com
    Updated Oct 28, 2014
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    Esri Canada - Technology Strategy Group (2014). Forward Sortation Areas - 2011 [Dataset]. https://ressouces-fr-covid19canada.hub.arcgis.com/datasets/esrica-tsg::forward-sortation-areas-2011
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    Dataset updated
    Oct 28, 2014
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Canada - Technology Strategy Group
    Area covered
    Description

    IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 30th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here The 2011 Census Forward Sortation Area (FSA) Boundary File depicts the boundaries of 1,621 forward sortation areas (identified by the first three characters of the postal code) derived from postal codesOM captured from the 2011 Census of Population questionnaires.Through analysis of the postal codesOM reported by census households, a single FSA was assigned to each dissemination block based on the most frequently reported FSA for the dissemination block. Unreported dissemination blocks were assigned an FSA based on proximity to reported dissemination blocks in the same province or territory or nearest Canada Post Corporation delivery installation.The 2011 Census FSA Boundary File provides a framework for mapping and spatial analysis. It is available in two types: cartographic and digital. The cartographic boundary file depicts the 2011 FSAs with the shoreline of the major land mass of Canada and its coastal islands. The digital boundary file depicts the full extent of the 2011 FSAs, including the coastal water area.

  18. a

    State Legislative District - Upper Chamber Boundary

    • livingatlas-dcdev.opendata.arcgis.com
    • hub.arcgis.com
    Updated Sep 16, 2019
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    Esri U.S. Federal Datasets (2019). State Legislative District - Upper Chamber Boundary [Dataset]. https://livingatlas-dcdev.opendata.arcgis.com/datasets/180a6ac192db460699db4220498c4834
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    Dataset updated
    Sep 16, 2019
    Dataset authored and provided by
    Esri U.S. Federal Datasets
    Area covered
    Description

    This Census Bureau map layer displays support features, such as Regional Census Center (RCC), Area Census Office (ACO), Congressional District (CD), State Legislative District (SLD), School Districts, Zip Code Tabulation Areas (ZCTA), American Indian Areas, County Subdivisions, and Places, used in the Response Outreach Area Mapper (ROAM). This map layer shows the Low Response Score (LRS) by census tract for the country and reveals other neighborhood characteristics found in the Planning Database (PDB).Census Tracts Low Response ScoresData currency: The ROAM release includes 2013-2017 American Community Survey (ACS) 5-year estimates updates from the 2019 Planning Database (PDB), new ACS variables added to the application, Census Audience Segmentation data and updated spatial data.Data modification(s): noneFor more information: Response Outreach Area Mapper; Response Outreach Area Mapper (ROAM)For feedback please contact: ArcGIScomNationalMaps@esri.com To view other products within this set... ROAM

  19. g

    Segmentation Data| North America | Detailed Insights on Consumer Attitudes...

    • datastore.gapmaps.com
    Updated Dec 17, 2015
    + more versions
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    GapMaps (2015). Segmentation Data| North America | Detailed Insights on Consumer Attitudes and Behaviours | Consumer Behaviour Data | Consumer Sentiment Data [Dataset]. https://datastore.gapmaps.com/products/gapmaps-usa-and-canada-segmentation-data-ags-demographic-d-gapmaps
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    Dataset updated
    Dec 17, 2015
    Dataset authored and provided by
    GapMaps
    Area covered
    United States
    Description

    GapMaps Segmentation Data from Applied Geographic Solutions (AGS) consists of 68 segments across the US and Canada. Panorama is paired with the industry leading GfK MRI survey and AGS Demographics to provide the essential link between neighborhood demographics and consumer preferences and attitudes.

  20. Forward Sortation Areas - 2011

    • hub.arcgis.com
    Updated Oct 28, 2014
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    Esri Canada - Technology Strategy Group (2014). Forward Sortation Areas - 2011 [Dataset]. https://hub.arcgis.com/maps/esrica-tsg::forward-sortation-areas-2011
    Explore at:
    Dataset updated
    Oct 28, 2014
    Dataset provided by
    Esri Canada
    Esrihttp://esri.com/
    Authors
    Esri Canada - Technology Strategy Group
    Area covered
    Description

    IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 27th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here The 2011 Census Forward Sortation Area (FSA) Boundary File depicts the boundaries of 1,621 forward sortation areas (identified by the first three characters of the postal code) derived from postal codesOM captured from the 2011 Census of Population questionnaires.Through analysis of the postal codesOM reported by census households, a single FSA was assigned to each dissemination block based on the most frequently reported FSA for the dissemination block. Unreported dissemination blocks were assigned an FSA based on proximity to reported dissemination blocks in the same province or territory or nearest Canada Post Corporation delivery installation.The 2011 Census FSA Boundary File provides a framework for mapping and spatial analysis. It is available in two types: cartographic and digital. The cartographic boundary file depicts the 2011 FSAs with the shoreline of the major land mass of Canada and its coastal islands. The digital boundary file depicts the full extent of the 2011 FSAs, including the coastal water area.

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Hosted by the University of Tennessee at Chattanooga Open Geospatial Data Portal (2014). Census Tapestry Segmentation [Dataset]. https://www.chattadata.org/dataset/Census-Tapestry-Segmentation/kvr2-hdfg
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Census Tapestry Segmentation

Explore at:
tsv, application/rssxml, application/rdfxml, xml, csv, jsonAvailable download formats
Dataset updated
Dec 4, 2014
Dataset provided by
Open Geospatial Consortiumhttps://www.ogc.org/
Authors
Hosted by the University of Tennessee at Chattanooga Open Geospatial Data Portal
Description

Tapestry segment descriptions can be found here..http://www.esri.com/library/brochures/pdfs/tapestry-segmentation.pdf For more than 30 years, companies, agencies, and organizations have used segmentation to divide and group their consumer markets to more precisely target their best customers and prospects. This targeting method is superior to using “scattershot” methods that might attract these preferred groups. Segmentation explains customer diversity, simplifies marketing campaigns, describes lifestyle and lifestage, and incorporates a wide range of data. Segmentation systems operate on the theory that people with similar tastes, lifestyles, and behaviors seek others with the same tastes—“like seeks like.” These behaviors can be measured, predicted, and targeted. Esri’s Tapestry Segmentation system combines the “who” of lifestyle demography with the “where” of local neighborhood geography to create a model of various lifestyle classifications or segments of actual neighborhoods with addresses—distinct behavioral market segments. The tapestry segmentation is almost comical in the sense that it trys to describe such small details of individuals daily lives just by analyzing the data provided on your CENSUS form. These segements are not only ideal for marketing and targeting lifestyles within a geographic location, but they are fun to read. Take the time to find out which segment you live in!

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