100+ datasets found
  1. e

    Race in the US by Dot Density

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    • +1more
    Updated Jan 10, 2020
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    ArcGIS Living Atlas Team (2020). Race in the US by Dot Density [Dataset]. https://coronavirus-resources.esri.com/maps/71df79b33d4e4db28c915a9f16c3074e
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

  2. a

    Global Ethnic Groups

    • hub.arcgis.com
    Updated Jul 23, 2015
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    UN Environment, Early Warning &Data Analytics (2015). Global Ethnic Groups [Dataset]. https://hub.arcgis.com/maps/55574e377de247a9a8ca4faa020d85d8
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    Dataset updated
    Jul 23, 2015
    Dataset authored and provided by
    UN Environment, Early Warning &Data Analytics
    Area covered
    Description

    This ethnicity dataset (GREG) is a digital version of the paper Soviet Narodov Mira atlas created in 1964. In 2010 the GREG (Geo-referencing of ethnic groups) project, used maps and data drawn from the Narodov Mira atlas to create a GIS (Geographic Information Systems) version of the atlas (2010). ETH ZurichFirst developed by G.P. Murdock in the 1940s, is an ethnographic classification system on human behavior, social life and customs, material culture, and human-ecological environments (2003). University of California

  3. Justice40 in Context: Race and Ethnicity in the US by Dot Density (Census...

    • atlas-connecteddmv.hub.arcgis.com
    Updated Jun 10, 2022
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    Esri (2022). Justice40 in Context: Race and Ethnicity in the US by Dot Density (Census 2020) [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/maps/9b35badb992344888e3d256c62bfde75
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    Dataset updated
    Jun 10, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This multi-scale map uses dots to represent the population of each race/ethnicity living within an area. Map opens at the state level, centered on the lower 48 states. Data is from U.S. Census Bureau's 2020 PL 94-171 data for tract, block group, and block.The map's colors represent each of the eight race/ethnicity categories have the highest total count. You can adjust the density of dots in your area by choosing "Change Style" for a layer. Race and ethnicity highlights from the U.S. Census Bureau:White population remained the largest race or ethnicity group in the United States, with 204.3 million people identifying as White alone. Overall, 235.4 million people reported White alone or in combination with another group. However, the White alone population decreased by 8.6% since 2010.Two or More Races population (also referred to as the Multiracial population) has changed considerably since 2010. The Multiracial population was measured at 9 million people in 2010 and is now 33.8 million people in 2020, a 276% increase.“In combination” multiracial populations for all race groups accounted for most of the overall changes in each racial category.All of the race alone or in combination groups experienced increases. The Some Other Race alone or in combination group (49.9 million) increased 129%, surpassing the Black or African American population (46.9 million) as the second-largest race alone or in combination group.The next largest racial populations were the Asian alone or in combination group (24 million), the American Indian and Alaska Native alone or in combination group (9.7 million), and the Native Hawaiian and Other Pacific Islander alone or in combination group (1.6 million).Hispanic or Latino population, which includes people of any race, was 62.1 million in 2020. Hispanic or Latino population grew 23%, while the population that was not of Hispanic or Latino origin grew 4.3% since 2010.View more 2020 Census statistics highlights on race and ethnicity.

  4. d

    Race and Ethnicity - ACS 2015-2019 - Tempe Tracts

    • catalog.data.gov
    • open.tempe.gov
    • +8more
    Updated Sep 20, 2024
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    City of Tempe (2024). Race and Ethnicity - ACS 2015-2019 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/race-and-ethnicity-acs-2015-2019-tempe-tracts-3bc24
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Description

    Notice: The U.S. Census Bureau is delaying the release of the 2016-2020 ACS 5-year data until March 2022. For more information, please read the Census Bureau statement regarding this matter. -----------------------------------------This layer shows population broken down by race and Hispanic origin. This layer shows Census data from Esri's Living Atlas and is clipped to only show Tempe census tracts. 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 (in ArcGIS Online). Data is from US Census American Community Survey (ACS) 5-year estimates. Vintage: 2015-2019 ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.) Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: December 10, 2020 National Figures: data.census.gov Additional Census data notes and data processing notes are available at the Esri Living Atlas Layer: https://tempegov.maps.arcgis.com/home/item.html?id=23ab8028f1784de4b0810104cd5d1c8f&view=list&sortOrder=desc&sortField=defaultFSOrder#overview (Esri's Living Atlas always shows latest data)

  5. b

    Racial Diversity Index - City

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    • +1more
    Updated Feb 27, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Racial Diversity Index - City [Dataset]. https://data.baltimorecity.gov/maps/bniajfi::racial-diversity-index-city
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    Dataset updated
    Feb 27, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percent chance that two people picked at random within an area will be of a different race/ethnicity. This number does not reflect which race/ethnicity is predominant within an area. The higher the value, the more racially and ethnically diverse an area. Source: U.S. Bureau of the Census, American Community Survey Years Available: 2010, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2017-2021, 2018-2022, 2019-2023

  6. d

    Race and Ethnicity - ACS 2017-2021 - Tempe Tracts

    • catalog.data.gov
    • data-academy.tempe.gov
    • +8more
    Updated Sep 20, 2024
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    City of Tempe (2024). Race and Ethnicity - ACS 2017-2021 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/race-and-ethnicity-acs-2017-2021-tempe-tracts-a63d5
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    This layer shows population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population that is Hispanic or Latino. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2017-2021ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 8, 2022National Figures: data.census.govAdditional Census data notes and data processing notes are available at the Esri Living Atlas Layer:https://tempegov.maps.arcgis.com/home/item.html?id=23ab8028f1784de4b0810104cd5d1c8f&view=list&sortOrder=desc&sortField=defaultFSOrder#overview(Esri's Living Atlas always shows latest data)

  7. d

    Race Ethnicity Block Group 2015

    • catalog.data.gov
    • data.ferndalemi.gov
    • +5more
    Updated Sep 21, 2024
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    Data Driven Detroit (2024). Race Ethnicity Block Group 2015 [Dataset]. https://catalog.data.gov/dataset/race-ethnicity-block-group-2015-1164f
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    Dataset updated
    Sep 21, 2024
    Dataset provided by
    Data Driven Detroit
    Description

    American Community Survey (2011-2015 5-Year Estimates) block group data was downloaded from American FactFinder, containing race and ethnicity population numbers. Data Driven Detroit assigned each block group a predominant race/ethnicity. Data was obtained for the Demographic section of Little Caesar's Arena District Needs Assessment.Click here for metadata (descriptions of the fields).

  8. d

    Race and Ethnicity - ACS 2018-2022 - Tempe Tracts

    • catalog.data.gov
    • performance.tempe.gov
    • +9more
    Updated Sep 20, 2024
    + more versions
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    City of Tempe (2024). Race and Ethnicity - ACS 2018-2022 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/race-and-ethnicity-acs-2018-2022-tempe-tracts
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    This layer shows population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population that is Hispanic or Latino. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2018-2022ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 15, 2023National Figures: data.census.gov

  9. Hong Kong Population Distribution by Ethnicity by 18 Districts in 2021

    • opendata.esrichina.hk
    Updated Oct 6, 2023
    + more versions
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    Esri China (Hong Kong) Ltd. (2023). Hong Kong Population Distribution by Ethnicity by 18 Districts in 2021 [Dataset]. https://opendata.esrichina.hk/maps/e32252a09be247f99c111ae4cc850a7a
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    Dataset updated
    Oct 6, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the Hong Kong Population Distribution by Ethnicity by 18 districts in 2021. It is a subset of the 2021 Population Census made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data is in CSV format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

  10. Race Ethnicity 2021 (all geographies, statewide)

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    • +3more
    Updated Mar 9, 2023
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    Georgia Association of Regional Commissions (2023). Race Ethnicity 2021 (all geographies, statewide) [Dataset]. https://opendata.atlantaregional.com/maps/613e7bed192e485e9162ef11dc70f7e8
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    Dataset updated
    Mar 9, 2023
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. For a deep dive into the data model including every specific metric, see the ACS 2017-2021 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e21Estimate from 2017-21 ACS_m21Margin of Error from 2017-21 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_21Change, 2010-21 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLine (buffer)BeltLine Study (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Planning Unit STV (3 NPUs merged to a single geographic unit within City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)City of Atlanta Neighborhood Statistical Areas E02E06 (2 NSAs merged to single geographic unit within City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)SPARCC = Strong, Prosperous And Resilient Communities ChallengeState of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)WFF = Westside Future Fund (subarea of City of Atlanta)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2017-2021). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2017-2021Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://garc.maps.arcgis.com/sharing/rest/content/items/34b9adfdcc294788ba9c70bf433bd4c1/data

  11. t

    Predominant Race and Ethnicity in North Providence, RI (Census 2020)

    • northprovidence-redistricting.timmons.com
    Updated Feb 28, 2022
    + more versions
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    Timmons Group (2022). Predominant Race and Ethnicity in North Providence, RI (Census 2020) [Dataset]. https://northprovidence-redistricting.timmons.com/maps/f14c1f830b3e4d1c8d9f612cf9703847
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    Dataset updated
    Feb 28, 2022
    Dataset authored and provided by
    Timmons Group
    Area covered
    Description

    This multi-scale map shows the predominant (most numerous) race/ethnicity living within an area. Map opens at the state level, centered on the lower 48 states. Data is from U.S. Census Bureau's 2020 PL 94-171 data for state, county, tract, block group, and block.The map's colors indicate which of the eight race/ethnicity categories have the highest total count.Race and ethnicity highlights from the U.S. Census Bureau:White population remained the largest race or ethnicity group in the United States, with 204.3 million people identifying as White alone. Overall, 235.4 million people reported White alone or in combination with another group. However, the White alone population decreased by 8.6% since 2010.Two or More Races population (also referred to as the Multiracial population) has changed considerably since 2010. The Multiracial population was measured at 9 million people in 2010 and is now 33.8 million people in 2020, a 276% increase.“In combination” multiracial populations for all race groups accounted for most of the overall changes in each racial category.All of the race alone or in combination groups experienced increases. The Some Other Race alone or in combination group (49.9 million) increased 129%, surpassing the Black or African American population (46.9 million) as the second-largest race alone or in combination group.The next largest racial populations were the Asian alone or in combination group (24 million), the American Indian and Alaska Native alone or in combination group (9.7 million), and the Native Hawaiian and Other Pacific Islander alone or in combination group (1.6 million).Hispanic or Latino population, which includes people of any race, was 62.1 million in 2020. Hispanic or Latino population grew 23%, while the population that was not of Hispanic or Latino origin grew 4.3% since 2010.View more 2020 Census statistics highlights on race and ethnicity.

  12. 2010 10: Racial Diversity

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Oct 27, 2010
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    MTC/ABAG (2010). 2010 10: Racial Diversity [Dataset]. https://opendata.mtc.ca.gov/documents/295969ab108349999e67cac2958a10c9
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    Dataset updated
    Oct 27, 2010
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    In the map, each dot represents 100 people in four race categories: white (non-Hispanic), black (non-Hispanic), Hispanic/Latino, and Asian/Pacific Islander. Thus, the map also depicts population densities throughout the region. While the rural/ suburban areas in the region have largely white populations, many urban/densely populated areas in the region are racially diverse, with two or more ethnicities living in relatively non-segregated neighborhoods.

  13. l

    Population by Race and Ethnicity

    • data.lacounty.gov
    • ph-lacounty.hub.arcgis.com
    • +1more
    Updated Jan 4, 2024
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    County of Los Angeles (2024). Population by Race and Ethnicity [Dataset]. https://data.lacounty.gov/datasets/population-by-race-and-ethnicity/about
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    Dataset updated
    Jan 4, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Race categories for White, Black, Asian, American Indian or Alaska Native, Native Hawaiian or Pacific Islander, other race, and two or more races are non-Hispanic. Due to rounding, race and ethnicity categories may not sum to 100%. Estimates are based on provisional data and subject to change.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  14. d

    Hispanic Origin by Race - ACS 2019-2023 - Tempe Tracts

    • catalog.data.gov
    • data-academy.tempe.gov
    • +8more
    Updated May 17, 2025
    + more versions
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    City of Tempe (2025). Hispanic Origin by Race - ACS 2019-2023 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/hispanic-origin-by-race-acs-2019-2023-tempe-tracts
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    Dataset updated
    May 17, 2025
    Dataset provided by
    City of Tempe
    Description

    This layer shows population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population that is Hispanic or Latino. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2019-2023ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 12, 2024National Figures: data.census.gov

  15. a

    Population Density - White - Map Service

    • hub.arcgis.com
    Updated Aug 15, 2012
    + more versions
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    Damian's Organization (2012). Population Density - White - Map Service [Dataset]. https://hub.arcgis.com/maps/8d31fc923a0c44c291b15ce36f814ffd
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    Dataset updated
    Aug 15, 2012
    Dataset authored and provided by
    Damian's Organization
    Area covered
    Description

    This map shows density surfaces derived from the 2010 US Census block points.This data shows % of people who identified themselves as single race and whiteThe block points were interpolated using the density function to a 2km x 2km grid of the continental US (with water and coastal data masks). There are many stories in these Maps:- What is that clean North/South Line through the center? Why do so many people live East of that line?- Notice the paths of the towns in the west – why are they so linear? And it seems there is a pattern to the spaces between the towns, why?- Looking at the ethnic maps, what explains the patterns? Look at the % Native American map – what are the areas of higher values? (note I did not make a % Asian map as at this scale there was not enough % to show any significant clusters.)

  16. r

    ACS Race and Hispanic Origin Variables - Boundaries

    • demographics.roanokecountyva.gov
    Updated Oct 30, 2024
    + more versions
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    County of Roanoke (2024). ACS Race and Hispanic Origin Variables - Boundaries [Dataset]. https://demographics.roanokecountyva.gov/maps/1f7b9f6e5ce04cc5ba199be937f60edc
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    Dataset updated
    Oct 30, 2024
    Dataset authored and provided by
    County of Roanoke
    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. (This map is embedded in the Roanoke County Demographics Website, and thus the county has been filtered to be the only geography shown.)

  17. A

    Diversity Index

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, geojson, json +1
    Updated Jul 26, 2019
    + more versions
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    United States (2019). Diversity Index [Dataset]. https://data.amerigeoss.org/ja/dataset/diversity-index
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    json, shp, geojson, csvAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States
    Description

    This map service summarizes racial and ethnic diversity in the United States in 2012.

    The Diversity Index shows the likelihood that two persons chosen at random from the same area, belong to different race or ethnic groups. The index ranges from 0 (no diversity) to 100 (complete diversity). Diversity in the U.S. population is increasing. The diversity score for the entire United States in 2012 is 61.

    The data shown is from Esri's 2012 Updated Demographics. The map adds increasing level of detail as you zoom in, from state, to county, to ZIP Code, to tract, to block group data. This map shows Esri's 2012 estimates using Census 2010 geographies.

  18. a

    Demographics (Race and Ethnicity Percent Pacific Islander)

    • arc-garc.opendata.arcgis.com
    • datahub.johnscreekga.gov
    • +4more
    Updated Aug 11, 2016
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    City of Johns Creek, GA (2016). Demographics (Race and Ethnicity Percent Pacific Islander) [Dataset]. https://arc-garc.opendata.arcgis.com/datasets/JohnsCreekGA::demographics-race-and-ethnicity-percent-pacific-islander-1/about
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    Dataset updated
    Aug 11, 2016
    Dataset authored and provided by
    City of Johns Creek, GA
    License

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

    Area covered
    Description

    Census block-level data focusing on race and ethnicity. This layer captures the distribution of 2010 Census respondents self-identifying as "Pacific Islander" in the City of Johns Creek, GA.

  19. c

    Dot-density race map (Bill Rankin, 2010)

    • hub.chicagowilderness.org
    • cw-fieldmuseum.hub.arcgis.com
    Updated Nov 17, 2021
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    Field Museum (2021). Dot-density race map (Bill Rankin, 2010) [Dataset]. https://hub.chicagowilderness.org/documents/fa26472f46364a6ba157f0ee185de244
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    Dataset updated
    Nov 17, 2021
    Dataset authored and provided by
    Field Museum
    Description

    This dot map shows three kinds of urban transitions. First, there are indeed areas where changes take place at very precise boundaries — such as between Lawndale and the Little Village, or Austin and Oak Park — and Chicago has more of these stark borders than most cities in the world. But transitions also take place through gradients and gaps as well, especially in the northwest and southeast. Using graphic conventions which allow these other possibilities to appear takes much more data, and requires more nuance in the way we talk about urban geography, but a cartography without boundaries can also make simplistic policy or urban design more difficult — in a good way.

  20. Housing x Race & Ethnicity 2020 (DHC, all geographies, statewide)

    • opendata.atlantaregional.com
    • hub.arcgis.com
    Updated Mar 28, 2024
    + more versions
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    Georgia Association of Regional Commissions (2024). Housing x Race & Ethnicity 2020 (DHC, all geographies, statewide) [Dataset]. https://opendata.atlantaregional.com/maps/8defe53652bc4161af82e7472346f6a5
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    Dataset updated
    Mar 28, 2024
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    These data were developed by the Research & Analytics group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable.For a deep dive into the data model including every specific metric, see the DHC 2020 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find geography definitions and user notes below.These are indicators built from the 2020 Decennial CensusThis is the second release based on the 2020 Census following the Redistricting Data release previously. The DHC release lets us drill deeper on age than the redistricting data (that only breaks at 0-17 and 18+). Additionally, we get some data on household type and housing tenure.Geographies AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage) ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit) ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit) BeltLineStatistical (buffer) BeltLineStatisticalSub (subareas) Census Tract (statewide) CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit) City (statewide) City of Atlanta Council Districts (City of Atlanta) City of Atlanta Neighborhood Planning Unit (City of Atlanta) City of Atlanta Neighborhood Statistical Areas (City of Atlanta) County (statewide) Georgia House (statewide) Georgia Senate (statewide) HSSA = High School Statistical Area (11 county region) MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit) Regional Commissions (statewide) State of Georgia (single geographic unit) Superdistrict (ARC region) US Congress (statewide) UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit) ZIP Code Tabulation Areas (statewide)Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2020Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/GARC::data-manifest-for-arc-census-demographic-and-housing-characteristics-dhc-2020-release/aboutFor more information, visit the US Census DHC Technical Documentation webpage.

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ArcGIS Living Atlas Team (2020). Race in the US by Dot Density [Dataset]. https://coronavirus-resources.esri.com/maps/71df79b33d4e4db28c915a9f16c3074e

Race in the US by Dot Density

Explore at:
Dataset updated
Jan 10, 2020
Dataset authored and provided by
ArcGIS Living Atlas Team
Area covered
Description

This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

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