6 datasets found
  1. c

    Demographic Profiles

    • data.clevelandohio.gov
    • hub.arcgis.com
    • +1more
    Updated Aug 21, 2023
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    Cleveland | GIS (2023). Demographic Profiles [Dataset]. https://data.clevelandohio.gov/maps/89c639f534684dbaab9218d2227580ba
    Explore at:
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOWPolygon layer containing American Community Survey (ACS) 5-Year Estimate data for the most recent vintage. 5 year estimates are a rolling average of data from the past five years. The current vintage is for 2019-2023. Data is filtered for Cuyahoga County, OH, and additional calculations are performed to determine the city each census tract lies within. Therefore, this dataset is filterable for the city of Cleveland and its surrounding suburbs. To learn more about each of these datasets, click on one of datasets under "Layers". This dataset powers the City Census Viewer.This dataset is ported from the ArcGIS Living Atlas.Data GlossaryClick here, then click on "Fields" to view documentation. Use the "Layers" drop down to view documentation for different tables.Update FrequencyThis dataset is updated annually in December when the new ACS vintage is released.ContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.gov

  2. T

    White to Non-White Racial Dissimilarity (5-year estimate) Index for...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
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    TRADING ECONOMICS (2020). White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, OK [Dataset]. https://tradingeconomics.com/united-states/white-to-non-white-racial-dissimilarity-index-for-cleveland-county-ok-fed-data.html
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Mar 9, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Cleveland County, Oklahoma
    Description

    White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, OK was 21.83% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, OK reached a record high of 24.82 in January of 2012 and a record low of 20.33 in January of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, OK - last updated from the United States Federal Reserve on July of 2025.

  3. c

    Race

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Race [Dataset]. https://data.clevelandohio.gov/maps/ClevelandGIS::race
    Explore at:
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

    This layer is symbolized to show the predominant race living within an area. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B03002

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  4. T

    White to Non-White Racial Dissimilarity (5-year estimate) Index for...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
    Share
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    TRADING ECONOMICS (2020). White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, NC [Dataset]. https://tradingeconomics.com/united-states/white-to-non-white-racial-dissimilarity-index-for-cleveland-county-nc-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Mar 9, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    North Carolina, Cleveland County
    Description

    White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, NC was 26.20% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, NC reached a record high of 34.49 in January of 2010 and a record low of 25.18 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, NC - last updated from the United States Federal Reserve on August of 2025.

  5. T

    White to Non-White Racial Dissimilarity (5-year estimate) Index for...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 13, 2019
    Share
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    TRADING ECONOMICS (2019). White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, AR [Dataset]. https://tradingeconomics.com/united-states/white-to-non-white-racial-dissimilarity-index-for-cleveland-county-ar-fed-data.html
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Nov 13, 2019
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Arkansas, Cleveland County
    Description

    White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, AR was 11.55% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, AR reached a record high of 21.62 in January of 2012 and a record low of 3.04 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Cleveland County, AR - last updated from the United States Federal Reserve on July of 2025.

  6. c

    Data from: Median Household Income

    • data.clevelandohio.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 21, 2023
    + more versions
    Share
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    Cleveland | GIS (2023). Median Household Income [Dataset]. https://data.clevelandohio.gov/datasets/ClevelandGIS::median-household-income
    Explore at:
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey.

    This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

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Close
Cite
Cleveland | GIS (2023). Demographic Profiles [Dataset]. https://data.clevelandohio.gov/maps/89c639f534684dbaab9218d2227580ba

Demographic Profiles

Explore at:
Dataset updated
Aug 21, 2023
Dataset authored and provided by
Cleveland | GIS
License

Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically

Area covered
Description

TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOWPolygon layer containing American Community Survey (ACS) 5-Year Estimate data for the most recent vintage. 5 year estimates are a rolling average of data from the past five years. The current vintage is for 2019-2023. Data is filtered for Cuyahoga County, OH, and additional calculations are performed to determine the city each census tract lies within. Therefore, this dataset is filterable for the city of Cleveland and its surrounding suburbs. To learn more about each of these datasets, click on one of datasets under "Layers". This dataset powers the City Census Viewer.This dataset is ported from the ArcGIS Living Atlas.Data GlossaryClick here, then click on "Fields" to view documentation. Use the "Layers" drop down to view documentation for different tables.Update FrequencyThis dataset is updated annually in December when the new ACS vintage is released.ContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.gov

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