100+ datasets found
  1. PLACES: Local Data for Better Health, Census Tract Data 2024 release

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: Local Data for Better Health, Census Tract Data 2024 release [Dataset]. https://catalog.data.gov/dataset/places-local-data-for-better-health-census-tract-data-2020-release-3e822
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

  2. PLACES: Local Data for Better Health, ZCTA Data 2023 release

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: Local Data for Better Health, ZCTA Data 2023 release [Dataset]. https://catalog.data.gov/dataset/places-local-data-for-better-health-zcta-data-2023-release
    Explore at:
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

  3. PLACES: Local Data for Better Health, ZCTA Data 2024 release

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: Local Data for Better Health, ZCTA Data 2024 release [Dataset]. https://catalog.data.gov/dataset/places-local-data-for-better-health-zcta-data-2020-release-ea5f2
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

  4. PLACES: Local Data for Better Health, ZCTA Data 2023 release

    • data.virginia.gov
    csv, json, rdf, xsl
    Updated Jul 15, 2024
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    Centers for Disease Control and Prevention (2024). PLACES: Local Data for Better Health, ZCTA Data 2023 release [Dataset]. https://data.virginia.gov/dataset/places-local-data-for-better-health-zcta-data-2023-release
    Explore at:
    csv, json, rdf, xslAvailable download formats
    Dataset updated
    Jul 15, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

  5. d

    PLACES: County Data (GIS Friendly Format), 2023 release

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: County Data (GIS Friendly Format), 2023 release [Dataset]. https://catalog.data.gov/dataset/places-county-data-gis-friendly-format-2023-release
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017–2021 or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588

  6. PLACES: Local Data for Better Health, Census Tract Data 2023 release

    • healthdata.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Aug 24, 2024
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    data.cdc.gov (2024). PLACES: Local Data for Better Health, Census Tract Data 2023 release [Dataset]. https://healthdata.gov/dataset/PLACES-Local-Data-for-Better-Health-Census-Tract-D/m68h-h4e7
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    application/rdfxml, csv, tsv, json, application/rssxml, xmlAvailable download formats
    Dataset updated
    Aug 24, 2024
    Dataset provided by
    data.cdc.gov
    Description

    This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

  7. PLACES: Local Data for Better Health, Place Data 2023 release

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: Local Data for Better Health, Place Data 2023 release [Dataset]. https://catalog.data.gov/dataset/places-local-data-for-better-health-place-data-2023-release
    Explore at:
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

  8. d

    PLACES: Census Tract Data (GIS Friendly Format), 2022 release

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Jun 28, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: Census Tract Data (GIS Friendly Format), 2022 release [Dataset]. https://catalog.data.gov/dataset/places-census-tract-data-gis-friendly-format-2022-release
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    This dataset contains model-based census tract level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

  9. PLACES: Local Data for Better Health, Place Data 2024 release

    • data.virginia.gov
    • healthdata.gov
    • +2more
    csv, json, rdf, xsl
    Updated Aug 23, 2024
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    Centers for Disease Control and Prevention (2024). PLACES: Local Data for Better Health, Place Data 2024 release [Dataset]. https://data.virginia.gov/dataset/places-local-data-for-better-health-place-data-2024-release
    Explore at:
    rdf, xsl, csv, jsonAvailable download formats
    Dataset updated
    Aug 23, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

  10. d

    PLACES: ZCTA Data (GIS Friendly Format), 2022 release

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Jun 28, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: ZCTA Data (GIS Friendly Format), 2022 release [Dataset]. https://catalog.data.gov/dataset/places-zcta-data-gis-friendly-format-2022-release
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

  11. PLACES: Place Data (GIS Friendly Format), 2022 release

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Jun 28, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). PLACES: Place Data (GIS Friendly Format), 2022 release [Dataset]. https://catalog.data.gov/dataset/places-place-data-gis-friendly-format-2022-release
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

  12. Monthly survey of food services and drinking places

    • ouvert.canada.ca
    • datasets.ai
    • +2more
    csv, html, xml
    Updated May 27, 2025
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    Statistics Canada (2025). Monthly survey of food services and drinking places [Dataset]. https://ouvert.canada.ca/data/dataset/e4490f69-b289-4a90-ac53-108c0cef43c3
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    csv, html, xmlAvailable download formats
    Dataset updated
    May 27, 2025
    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

    Description

    Seasonally adjusted receipts of monthly survey of food services and drinking places, by North American Industry Classification System (NAICS), monthly, for five months of data.

  13. N

    cities in Wake County Ranked by Other Race Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Jan 24, 2025
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    Neilsberg Research (2025). cities in Wake County Ranked by Other Race Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-wake-county-nc-by-other-race-population/
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    json, csvAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Wake County, North Carolina
    Variables measured
    Other Race Population, Other Race Population as Percent of Total Population of cities in Wake County, NC, Other Race Population as Percent of Total Other Race Population of Wake County, NC
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 24 cities in the Wake County, NC by Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Other Race Population: This column displays the rank of cities in the Wake County, NC by their Some Other Race (SOR) population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Other Race Population: The Other Race population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Wake County Other Race Population: This tells us how much of the entire Wake County, NC Other Race population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  14. d

    Health Survey for England

    • digital.nhs.uk
    pdf, xlsx
    Updated Dec 13, 2017
    + more versions
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    (2017). Health Survey for England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england
    Explore at:
    pdf(2.1 MB), xlsx(311.9 kB), pdf(228.6 kB), xlsx(185.8 kB), pdf(615.8 kB), xlsx(221.0 kB), pdf(514.8 kB), xlsx(261.8 kB), xlsx(337.1 kB), pdf(418.0 kB), pdf(416.3 kB), pdf(498.4 kB), pdf(384.7 kB), pdf(497.0 kB), pdf(660.7 kB), xlsx(131.7 kB), xlsx(176.2 kB), xlsx(130.2 kB), pdf(495.8 kB), xlsx(249.8 kB), pdf(589.7 kB), pdf(678.4 kB), pdf(4.2 MB), xlsx(607.0 kB), pdf(645.4 kB)Available download formats
    Dataset updated
    Dec 13, 2017
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2016 - Dec 31, 2016
    Area covered
    England
    Description

    The Health Survey for England series was designed to monitor trends in the nation's health; estimating the proportion of people in England who have specified health conditions, and the prevalence of risk factors and behaviours associated with these conditions. The surveys provide regular information that cannot be obtained from other sources. The surveys have been carried out since 1994 by the Joint Health Surveys Unit of NatCen Social Research and the Research Department of Epidemiology and Public Health at UCL. Each survey in the series includes core questions, e.g. about alcohol and smoking, and measurements (such as blood pressure, height and weight, and analysis of blood and saliva samples), and modules of questions on topics that vary from year to year. The trend tables show data for available years between 1993 and 2016 for adults (defined as age 16 and over) and for children. The survey samples cover the population living in private households in England. In 2016 the sample contained 8,011 adults and 2,056 children and 5,049 adults and 1,117 children had a nurse visit. We would very much like your feedback about whether some proposed changes to the publications would be helpful and if the publications meet your needs. This will help us shape the design of future publications to ensure they remain informative and useful. Please answer our reader feedback survey on Citizen Space which is open until 18 June 2018.

  15. N

    cities in Richland Parish Ranked by Other Race Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Jan 24, 2025
    + more versions
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    Neilsberg Research (2025). cities in Richland Parish Ranked by Other Race Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-richland-parish-la-by-other-race-population/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Richland Parish, Louisiana
    Variables measured
    Other Race Population, Other Race Population as Percent of Total Population of cities in Richland Parish, LA, Other Race Population as Percent of Total Other Race Population of Richland Parish, LA
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 3 cities in the Richland Parish, LA by Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Other Race Population: This column displays the rank of cities in the Richland Parish, LA by their Some Other Race (SOR) population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Other Race Population: The Other Race population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Richland Parish Other Race Population: This tells us how much of the entire Richland Parish, LA Other Race population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  16. h

    2015 Census Designated Places (CDP)

    • census.hcnj.us
    • opendata.hawaii.gov
    • +3more
    Updated Feb 8, 2014
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    Hawaii Statewide GIS Program (2014). 2015 Census Designated Places (CDP) [Dataset]. https://census.hcnj.us/datasets/HiStateGIS::2015-census-designated-places-cdp-/api
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    Dataset updated
    Feb 8, 2014
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    [Metadata] - 2015 Census Designated Places with population figures from American Community Survey 5-year estimates. Source: U.S. Census Bureau, 2016. The American Community Survey (ACS) is an ongoing survey that provides data every year ... the 5-year estimates from the ACS are "period" estimates that represent data collected over a period of time, from 2011 to 2015. For more information about the ACS, please visit https://www.census.gov/programs-surveys/acs/.For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/cdplc15.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  17. Manatee Synoptic Survey Observation Locations

    • geodata.myfwc.com
    • mapdirect-fdep.opendata.arcgis.com
    • +1more
    Updated Mar 1, 2019
    + more versions
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    Florida Fish and Wildlife Conservation Commission (2019). Manatee Synoptic Survey Observation Locations [Dataset]. https://geodata.myfwc.com/datasets/manatee-synoptic-survey-observation-locations
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    Dataset updated
    Mar 1, 2019
    Dataset authored and provided by
    Florida Fish and Wildlife Conservation Commission
    Area covered
    Description

    The word “synoptic” means presenting a general view of the whole. The current manatee synoptic survey is a count of manatees over a broad area. The Florida Fish and Wildlife Conservation Commission (FWC) uses these surveys to obtain a general count of manatees statewide. The FWC coordinates an interagency team that conducts the synoptic surveys from one to three times each year (weather permitting). The synoptic surveys are conducted in winter and cover all of the known wintering habitats of manatees in Florida. The survey is conducted to meet Florida state statute 370.12 (4), which requires an annual, impartial, scientific benchmark census of the manatee population. From 1991 through 2019, the counts have been conducted 33 times. These statewide, interagency surveys are currently conducted during the coldest weather of the year (January through March) when manatees move to warm-water sites, such as natural springs, thermal discharges from power and industrial plants, and deep canals. The ideal conditions for the current synoptic survey are cool weather, following a prolonged period of cold weather (usually following multiple cold fronts), low winds, and bright sunshine. Weather conditions and manatee behavior during the survey have a large effect on the synoptic counts. For that reason, the counts are used as indicators of relative abundance within a year and are not suitable for assessing long-term population trends. Counts can vary depending on whether it is warm or cold, sunny or cloudy, calm or windy. Manatees are more easily counted a few days after a cold front when it is slightly warmer, clear, and windless. A warming trend with sunny, windless conditions following cold weather increases the likelihood that manatees will be resting at the water's surface, where observers can easily spot them.

  18. d

    Louisville Metro KY - List of Locations with COVID Related Random Survey...

    • catalog.data.gov
    • data.lojic.org
    • +4more
    Updated Apr 13, 2023
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    Louisville/Jefferson County Information Consortium (2023). Louisville Metro KY - List of Locations with COVID Related Random Survey With No Violations [Dataset]. https://catalog.data.gov/dataset/louisville-metro-ky-list-of-locations-with-covid-related-random-survey-with-no-violations
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    Dataset updated
    Apr 13, 2023
    Dataset provided by
    Louisville/Jefferson County Information Consortium
    Area covered
    Louisville, Kentucky
    Description

    This is a list of locations of which the following conditions apply:ACTIVITY TYPE ID 4 SURVEY – Surveillance was conducted on the business and no violations were found. Surveillance conducted prior to 1/21/2021 in which were conducted as part of random survey of businesses. This file is not updated as it has an end date.LMPHW Narrative: Louisville Metro Public Health and Wellness (LMPHW) investigates and responds to reports of alleged violations related to COVID-19. LMPHW has provided an open dataset of businesses that were observed to not be following the covid requirements as prescribed by the Governor’s Office. The data does not distinguish between the type of enforcement action taken with the exception of the closure of a facility for operating when they were to be closed. The data shows that an order or citation was issued with or without a fine assessed. A minimum of one violation or multiple violations were observed on this day. Violations include but are not limited to failure to wear a face covering, lack of social distancing, failure to properly isolate or quarantine personnel, failure to conduct health checks, and other violations of the Governor’s Orders. Closure orders documented in the data portal where issued by either LMPHW, Shively Police or the Kentucky Labor Cabinet. Detail the Enforcement Process: The Environmental Division receives complaints of non-compliance on local businesses. Complaints are received from several sources including: Metro Call, Louisville Metro Public Health and Wellness’ Environmental call line, Facebook, email, and other sources. Complaints are investigated by inspectors in addition to surveillance of businesses to ensure compliance. Violations observed result in both compliance guidance being given to the business along with an enforcement notice which consists of either a Face Covering Citation and/or a Public Health Notice and Order depending on the type of violation. Citations result in fines being assessed. Violations are to be addressed immediately.Community members can report a complaint via Metro Call by calling 574-5000. For COVID 19 Guidance please visit Louisville Metro’s Covid Resource Center at https://louisvilleky.gov/government/louisville-covid-19-resource-center or calling the Covid Helpline at (502)912-8598.ACTIVITY TYPE ID 12 indicates an Enforcement Action has been taken against the establishment which include Notice to Correct, Citation which include financial penalties and/or Cease Operation. LMPHW Narrative Example: Louisville Metro Public Health and Wellness (LMPHW) investigates and responds to reports of alleged violations related to COVID-19. They also conduct surveillance of businesses to determine compliance. LMPHW has provided an open dataset of businesses that were observed to be following the covid requirements as prescribed by the Governor’s Office. ACTIVITY TYPE ID 4 SURVEY – Surveillance was conducted on the business and no violations were found. ACTIVITY TYPE ID 7 FIELD – A complaint was investigated on the business and no violations were found.ACTIVITY TYPE ID 12 Enforcement Action – Action has been taken against the establishment which could include Notice to Correct, Citation which include financial penalties and/or Cease Operation. ACTIVITY TYPE ID 12 Enforcement Action – Action Code Z – The establishment has been issued an order to cease operation.Data Set Explanation:Activity Type ID 4 Survey has two separate files: COVID_4_Surveillance_Open_Data – Surveillance conducted prior to 1/21/2021 in which were conducted as part of random survey of businessesCOVID_4_Compliance_Reviews_Open_Data – Reviews conducted during routine inspections of permitted establishments from 1/21/21 on. Data Dictionary: REQ ID-ID of RequestRequest Date-Date of Requestperson premiseaddress1zipActivity Date-Date Activity OccurredACTIVITY TYPE IDActivity Type Desc-Description of ActivityContact:Gerald Kaforskigerald.kaforski@louisvilleky.gov

  19. D

    Park and Ride Survey Locations

    • catalog.dvrpc.org
    • staging-catalog.cloud.dvrpc.org
    • +1more
    api, geojson, html +1
    Updated May 23, 2025
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    DVRPC (2025). Park and Ride Survey Locations [Dataset]. https://catalog.dvrpc.org/dataset/park-and-ride-survey-locations
    Explore at:
    xml, geojson, api, htmlAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset provided by
    Delaware Valley Regional Planning Commissionhttps://www.dvrpc.org/
    Authors
    DVRPC
    Description

    This layer consists of points representing park and ride origin survey locations. Only train stations and park and rides that have publicly accessible parking and have been surveyed by DVRPC. Each station’s data is based on fieldwork completed in one day, typically in fall or spring between the hours of 9 AM and 4 PM. A publicly accessible web mapping application is available for use. To ensure privacy of the surveyed vehicles, individual points are aggregated to a standard geography in order to visualize trends of how people are using public transportation as part of their commute. In this case, the standard geography is 1/2 square mile hexagons that are large enough to anonymize the points within them, but also small enough to effectively display the trends in the data: DVRPC Park & Ride Passenger Origins

  20. Survey on places where pupils were bullied at school in Norway 2019

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Survey on places where pupils were bullied at school in Norway 2019 [Dataset]. https://www.statista.com/statistics/824401/survey-on-places-where-pupils-were-bullied-at-school-in-norway/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 1, 2019 - Jan 3, 2020
    Area covered
    Norway
    Description

    This statistic shows the result of a survey on places where pupils were bullied at school in Norway in the school year 2019/2020. Out of the pupils that had been bullied, 55.3. percent stated that it occurred in the school yard. Out of the total surveyed pupils, *** percent stated that it's been in the school yard.

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Centers for Disease Control and Prevention (2025). PLACES: Local Data for Better Health, Census Tract Data 2024 release [Dataset]. https://catalog.data.gov/dataset/places-local-data-for-better-health-census-tract-data-2020-release-3e822
Organization logo

PLACES: Local Data for Better Health, Census Tract Data 2024 release

Explore at:
Dataset updated
Feb 3, 2025
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Description

This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

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