100+ datasets found
  1. a

    Population Change 1990 - 2020 (by County)

    • arc-garc.opendata.arcgis.com
    Updated Nov 3, 2021
    + more versions
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    Georgia Association of Regional Commissions (2021). Population Change 1990 - 2020 (by County) [Dataset]. https://arc-garc.opendata.arcgis.com/datasets/GARC::1990-2020-population-change-state-of-georgia-multiple-geographies?layer=9
    Explore at:
    Dataset updated
    Nov 3, 2021
    Dataset authored and provided by
    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 is published by the Research & Analytics Group at the Atlanta Regional Commission to show population change by utilizing the 2020 redistricting data and comparable data for 2010, 2000, and 1990 across multiple geographies for the State of Georgia. For a deep dive into the data model including every specific metric, see the Data Manifest. The manifest details ARC-defined naming conventions, names/descriptions and topics where applicable, summary levels; source tables; notes and so forth for all metrics.

    It should be noted:The 2020 redistricting release is not as detailed in terms of data compared to ACS estimates; data include total population, population by race and ethnicity, and "voting age" population (i.e., adults) by race and ethnicity, adults are subtracted from the total population to show children (ages 0-17); total number of housing units, occupied housing units, and vacant housing units. Percent and change measures are calculated over four different Censuses.These data are expressed in terms of 2020 geographies such as the new 2020 Census tracts. This means that that historical data for geographies like cities have been estimated to the 2020 boundaries. For example, the city of Atlanta, which has made multiple annexations since 1990, has a higher estimated 1990 population of 400,452 (2020 boundaries) than the 394,017 reported in the 1990 Census (1990 boundaries).Due to changes in block geographies and annexations, 2010 population totals for custom geographies such as City of Atlanta NSAs may differ slightly from the numbers we have published in the past.The procedure to re-estimate historical data to 2020 blocks often results in fractional population (e.g., 1.25 instead of 1 or 2). Counts have been rounded to the nearest whole, but to be more precise, all aggregation, percent, and change measures were performed pre-rounding. Some change measures may appear curious as a result. For example, 100.4 - 20.8 = 79.6 which rounds to 80. But if rounded first, 100.4 rounds down to 100, 20.8 rounds up to 21; 100 - 21 = 79.Asian and Pacific Islander categories are combined to maximize compatibility with the 1990 release, which reported the two groups as a single category. Caution should be exercised with 1990 race data because the Census Bureau changed to the current system (which allows people to identify as biracial or multiracial) starting only in 2000.The "other" race category includes American Indian and Alaska Natives, people identifying with "some other race" and (for 2000 forward), people who identify as biracial or multiracial.For more information regarding Decennial Census source data, visit 2020 Census website

  2. 1990 - 2020 Population Change (State of Georgia, multiple geographies)

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    Updated Nov 3, 2021
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    Georgia Association of Regional Commissions (2021). 1990 - 2020 Population Change (State of Georgia, multiple geographies) [Dataset]. https://gisdata.fultoncountyga.gov/maps/GARC::1990-2020-population-change-state-of-georgia-multiple-geographies/about?layer=0
    Explore at:
    Dataset updated
    Nov 3, 2021
    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 is published by the Research & Analytics Group at the Atlanta Regional Commission to show population change by utilizing the 2020 redistricting data and comparable data for 2010, 2000, and 1990 across multiple geographies for the State of Georgia. For a deep dive into the data model including every specific metric, see the Data Manifest. The manifest details ARC-defined naming conventions, names/descriptions and topics where applicable, summary levels; source tables; notes and so forth for all metrics.

    It should be noted:The 2020 redistricting release is not as detailed in terms of data compared to ACS estimates; data include total population, population by race and ethnicity, and "voting age" population (i.e., adults) by race and ethnicity, adults are subtracted from the total population to show children (ages 0-17); total number of housing units, occupied housing units, and vacant housing units. Percent and change measures are calculated over four different Censuses.These data are expressed in terms of 2020 geographies such as the new 2020 Census tracts. This means that that historical data for geographies like cities have been estimated to the 2020 boundaries. For example, the city of Atlanta, which has made multiple annexations since 1990, has a higher estimated 1990 population of 400,452 (2020 boundaries) than the 394,017 reported in the 1990 Census (1990 boundaries).Due to changes in block geographies and annexations, 2010 population totals for custom geographies such as City of Atlanta NSAs may differ slightly from the numbers we have published in the past.The procedure to re-estimate historical data to 2020 blocks often results in fractional population (e.g., 1.25 instead of 1 or 2). Counts have been rounded to the nearest whole, but to be more precise, all aggregation, percent, and change measures were performed pre-rounding. Some change measures may appear curious as a result. For example, 100.4 - 20.8 = 79.6 which rounds to 80. But if rounded first, 100.4 rounds down to 100, 20.8 rounds up to 21; 100 - 21 = 79.Asian and Pacific Islander categories are combined to maximize compatibility with the 1990 release, which reported the two groups as a single category. Caution should be exercised with 1990 race data because the Census Bureau changed to the current system (which allows people to identify as biracial or multiracial) starting only in 2000.The "other" race category includes American Indian and Alaska Natives, people identifying with "some other race" and (for 2000 forward), people who identify as biracial or multiracial.For more information regarding Decennial Census source data, visit 2020 Census website

  3. N

    Dataset for Plains, GA Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Plains, GA Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80ed7347-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 3, 2024
    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
    Plains, Georgia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Plains median household income by race. The dataset can be utilized to understand the racial distribution of Plains income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Plains, GA median household income breakdown by race betwen 2011 and 2021
    • Median Household Income by Racial Categories in Plains, GA (2021, in 2022 inflation-adjusted dollars)

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Plains median household income by race. You can refer the same here

  4. ACS 2020 Race Ethnicity

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Apr 20, 2022
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    Georgia Association of Regional Commissions (2022). ACS 2020 Race Ethnicity [Dataset]. https://opendata.atlantaregional.com/maps/a2a9562f602e419e9a52bd9c6297b26c
    Explore at:
    Dataset updated
    Apr 20, 2022
    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 2016-2020 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.

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    s

    Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed

    Suffixes:

    _e20

    Estimate from 2016-20 ACS

    _m20

    Margin of Error from 2016-20 ACS

    _e10

    2006-10 ACS, re-estimated to 2020 geography

    _m10

    Margin of Error from 2006-10 ACS, re-estimated to 2020 geography

    _e10_20

    Change, 2010-20 (holding constant at 2020 geography)

    Geographies

    AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)

    ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)

    Census Tracts (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 (subarea of City of Atlanta)

    City of Atlanta Neighborhood Statistical Areas (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)

    State of Georgia (statewide)

    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 2016-2020). 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 Commission Date: 2016-2020 Data License: Creative Commons Attribution 4.0 International (CC by 4.0)

    Link to the manifest: https://opendata.atlantaregional.com/documents/GARC::acs-2020-data-manifest/about

  5. N

    Dataset for Forest Park, GA Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Forest Park, GA Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80cc0082-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 3, 2024
    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
    Forest Park, Georgia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Forest Park median household income by race. The dataset can be utilized to understand the racial distribution of Forest Park income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Forest Park, GA median household income breakdown by race betwen 2011 and 2021
    • Median Household Income by Racial Categories in Forest Park, GA (2021, in 2022 inflation-adjusted dollars)

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Forest Park median household income by race. You can refer the same here

  6. ACS 2020 By Race Economic

    • fultoncountyopendata-fulcogis.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +2more
    Updated Apr 22, 2022
    + more versions
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    Cite
    Georgia Association of Regional Commissions (2022). ACS 2020 By Race Economic [Dataset]. https://fultoncountyopendata-fulcogis.opendata.arcgis.com/maps/b126b3bf2a4240f688ca29440e30d9fc
    Explore at:
    Dataset updated
    Apr 22, 2022
    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 2016-2020 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.

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    s

    Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed

    Suffixes:

    _e20

    Estimate from 2016-20 ACS

    _m20

    Margin of Error from 2016-20 ACS

    _e10

    2006-10 ACS, re-estimated to 2020 geography

    _m10

    Margin of Error from 2006-10 ACS, re-estimated to 2020 geography

    _e10_20

    Change, 2010-20 (holding constant at 2020 geography)

    Geographies

    AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)

    ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)

    Census Tracts (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 (subarea of City of Atlanta)

    City of Atlanta Neighborhood Statistical Areas (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)

    State of Georgia (statewide)

    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 2016-2020). 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 Commission Date: 2016-2020 Data License: Creative Commons Attribution 4.0 International (CC by 4.0)

    Link to the manifest: https://opendata.atlantaregional.com/documents/GARC::acs-2020-data-manifest/about

  7. Demographic x Race & Ethnicity 2020 (DHC, all geographies, statewide)

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +1more
    Updated Mar 28, 2024
    + more versions
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    Georgia Association of Regional Commissions (2024). Demographic x Race & Ethnicity 2020 (DHC, all geographies, statewide) [Dataset]. https://gisdata.fultoncountyga.gov/datasets/b86a0d55c5a647e380d54265972265b8
    Explore at:
    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.

  8. N

    Dataset for Georgia, Vermont Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Georgia, Vermont Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80cdecc4-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 3, 2024
    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
    Vermont, Georgia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Georgia town median household income by race. The dataset can be utilized to understand the racial distribution of Georgia town income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Georgia, Vermont median household income breakdown by race betwen 2011 and 2021
    • Median Household Income by Racial Categories in Georgia, Vermont (2021, in 2022 inflation-adjusted dollars)

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Georgia town median household income by race. You can refer the same here

  9. Demographic by Race 2021 (all geographies, statewide)

    • gisdata.fultoncountyga.gov
    • hub.arcgis.com
    Updated Mar 10, 2023
    + more versions
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    Georgia Association of Regional Commissions (2023). Demographic by Race 2021 (all geographies, statewide) [Dataset]. https://gisdata.fultoncountyga.gov/maps/b1651445db7a419794f1dc107968d885
    Explore at:
    Dataset updated
    Mar 10, 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

  10. N

    cities in Georgia Ranked by Multi-Racial Other Race Population // 2025...

    • neilsberg.com
    csv, json
    Updated Feb 13, 2025
    + more versions
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    Neilsberg Research (2025). cities in Georgia Ranked by Multi-Racial Other Race Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-georgia-by-multi-racial-other-race-population/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 13, 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
    Georgia
    Variables measured
    Multi-Racial Other Race Population, Multi-Racial Other Race Population as Percent of Total Population of cities in Georgia, Multi-Racial Other Race Population as Percent of Total Multi-Racial Other Race Population of Georgia
    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 525 cities in the Georgia by Multi-Racial 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 Multi-Racial Other Race Population: This column displays the rank of cities in the Georgia by their Multi-Racial 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.
    • Multi-Racial Other Race Population: The Multi-Racial 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 Multi-Racial Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Georgia Multi-Racial Other Race Population: This tells us how much of the entire Georgia Multi-Racial 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/.

  11. N

    Dataset for Gray, GA Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Gray, GA Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80cf6c65-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 3, 2024
    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
    Gray, Georgia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Gray median household income by race. The dataset can be utilized to understand the racial distribution of Gray income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Gray, GA median household income breakdown by race betwen 2011 and 2021
    • Median Household Income by Racial Categories in Gray, GA (2021, in 2022 inflation-adjusted dollars)

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Gray median household income by race. You can refer the same here

  12. Demographic 2020 (DHC, all geographies, statewide)

    • arc-garc.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +1more
    Updated Mar 28, 2024
    + more versions
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    Georgia Association of Regional Commissions (2024). Demographic 2020 (DHC, all geographies, statewide) [Dataset]. https://arc-garc.opendata.arcgis.com/maps/32c2c56a3bfd4e63a2e669ca869096b3
    Explore at:
    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.

  13. ACS2020 Race Demographic RC

    • arc-garc.opendata.arcgis.com
    • gisdata.fultoncountyga.gov
    Updated Apr 22, 2022
    + more versions
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    Georgia Association of Regional Commissions (2022). ACS2020 Race Demographic RC [Dataset]. https://arc-garc.opendata.arcgis.com/datasets/acs2020-race-demographic-rc
    Explore at:
    Dataset updated
    Apr 22, 2022
    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 2016-2020 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.

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    s

    Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed

    Suffixes:

    _e20

    Estimate from 2016-20 ACS

    _m20

    Margin of Error from 2016-20 ACS

    _e10

    2006-10 ACS, re-estimated to 2020 geography

    _m10

    Margin of Error from 2006-10 ACS, re-estimated to 2020 geography

    _e10_20

    Change, 2010-20 (holding constant at 2020 geography)

    Geographies

    AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)

    ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)

    Census Tracts (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 (subarea of City of Atlanta)

    City of Atlanta Neighborhood Statistical Areas (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)

    State of Georgia (statewide)

    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 2016-2020). 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 Commission Date: 2016-2020 Data License: Creative Commons Attribution 4.0 International (CC by 4.0)

    Link to the manifest: https://opendata.atlantaregional.com/documents/GARC::acs-2020-data-manifest/about

  14. Population Change 1990 - 2020 (by City of Atlanta Neighborhood Planning...

    • hub.arcgis.com
    Updated Nov 3, 2021
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    Georgia Association of Regional Commissions (2021). Population Change 1990 - 2020 (by City of Atlanta Neighborhood Planning Unit) [Dataset]. https://hub.arcgis.com/datasets/59dd97445d884cd6998336f84ba6ba77
    Explore at:
    Dataset updated
    Nov 3, 2021
    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 is published by the Research & Analytics Group at the Atlanta Regional Commission to show population change by utilizing the 2020 redistricting data and comparable data for 2010, 2000, and 1990 across multiple geographies for the State of Georgia. For a deep dive into the data model including every specific metric, see the Data Manifest. The manifest details ARC-defined naming conventions, names/descriptions and topics where applicable, summary levels; source tables; notes and so forth for all metrics.

    It should be noted:The 2020 redistricting release is not as detailed in terms of data compared to ACS estimates; data include total population, population by race and ethnicity, and "voting age" population (i.e., adults) by race and ethnicity, adults are subtracted from the total population to show children (ages 0-17); total number of housing units, occupied housing units, and vacant housing units. Percent and change measures are calculated over four different Censuses.These data are expressed in terms of 2020 geographies such as the new 2020 Census tracts. This means that that historical data for geographies like cities have been estimated to the 2020 boundaries. For example, the city of Atlanta, which has made multiple annexations since 1990, has a higher estimated 1990 population of 400,452 (2020 boundaries) than the 394,017 reported in the 1990 Census (1990 boundaries).Due to changes in block geographies and annexations, 2010 population totals for custom geographies such as City of Atlanta NSAs may differ slightly from the numbers we have published in the past.The procedure to re-estimate historical data to 2020 blocks often results in fractional population (e.g., 1.25 instead of 1 or 2). Counts have been rounded to the nearest whole, but to be more precise, all aggregation, percent, and change measures were performed pre-rounding. Some change measures may appear curious as a result. For example, 100.4 - 20.8 = 79.6 which rounds to 80. But if rounded first, 100.4 rounds down to 100, 20.8 rounds up to 21; 100 - 21 = 79.Asian and Pacific Islander categories are combined to maximize compatibility with the 1990 release, which reported the two groups as a single category. Caution should be exercised with 1990 race data because the Census Bureau changed to the current system (which allows people to identify as biracial or multiracial) starting only in 2000.The "other" race category includes American Indian and Alaska Natives, people identifying with "some other race" and (for 2000 forward), people who identify as biracial or multiracial.For more information regarding Decennial Census source data, visit 2020 Census website

  15. 1990 - 2020 Population Change Data Manifest

    • opendata.atlantaregional.com
    Updated Nov 3, 2021
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    Georgia Association of Regional Commissions (2021). 1990 - 2020 Population Change Data Manifest [Dataset]. https://opendata.atlantaregional.com/documents/72371a6bee9446efb6e8e9f96cea8036
    Explore at:
    Dataset updated
    Nov 3, 2021
    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

    Description

    The Research & Analytics Group at the Atlanta Regional Commission publishes this Data Manifest for reference to the 1990 - 2020 Census derived data release. This contains detail on ARC defined naming conventions, field names and aliases; source tables; notes and so forth for all metrics.

  16. ACS2021 Race Demographic AAA

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Mar 10, 2023
    + more versions
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    Georgia Association of Regional Commissions (2023). ACS2021 Race Demographic AAA [Dataset]. https://opendata.atlantaregional.com/maps/acs2021-race-demographic-aaa
    Explore at:
    Dataset updated
    Mar 10, 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

  17. ACS2020 Demographic RaceEthnicity UWGA13

    • gisdata.fultoncountyga.gov
    Updated Apr 20, 2022
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    Georgia Association of Regional Commissions (2022). ACS2020 Demographic RaceEthnicity UWGA13 [Dataset]. https://gisdata.fultoncountyga.gov/datasets/a2a9562f602e419e9a52bd9c6297b26c
    Explore at:
    Dataset updated
    Apr 20, 2022
    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 2016-2020 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.

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    s

    Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed

    Suffixes:

    _e20

    Estimate from 2016-20 ACS

    _m20

    Margin of Error from 2016-20 ACS

    _e10

    2006-10 ACS, re-estimated to 2020 geography

    _m10

    Margin of Error from 2006-10 ACS, re-estimated to 2020 geography

    _e10_20

    Change, 2010-20 (holding constant at 2020 geography)

    Geographies

    AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)

    ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)

    Census Tracts (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 (subarea of City of Atlanta)

    City of Atlanta Neighborhood Statistical Areas (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)

    State of Georgia (statewide)

    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 2016-2020). 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 Commission Date: 2016-2020 Data License: Creative Commons Attribution 4.0 International (CC by 4.0)

    Link to the manifest: https://opendata.atlantaregional.com/documents/GARC::acs-2020-data-manifest/about

  18. ACS2020 Demographic Population ZCTA

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gisdata.fultoncountyga.gov
    Updated Apr 21, 2022
    + more versions
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    Georgia Association of Regional Commissions (2022). ACS2020 Demographic Population ZCTA [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/GARC::acs-2020-population?layer=0
    Explore at:
    Dataset updated
    Apr 21, 2022
    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 2016-2020 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.

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    s

    Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed

    Suffixes:

    _e20

    Estimate from 2016-20 ACS

    _m20

    Margin of Error from 2016-20 ACS

    _e10

    2006-10 ACS, re-estimated to 2020 geography

    _m10

    Margin of Error from 2006-10 ACS, re-estimated to 2020 geography

    _e10_20

    Change, 2010-20 (holding constant at 2020 geography)

    Geographies

    AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)

    ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)

    Census Tracts (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 (subarea of City of Atlanta)

    City of Atlanta Neighborhood Statistical Areas (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)

    State of Georgia (statewide)

    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 2016-2020). 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 Commission Date: 2016-2020 Data License: Creative Commons Attribution 4.0 International (CC by 4.0)

    Link to the manifest: https://opendata.atlantaregional.com/documents/GARC::acs-2020-data-manifest/about

  19. Demographic by Race 2022 (all geographies, statewide)

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +1more
    Updated Mar 1, 2024
    + more versions
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    Georgia Association of Regional Commissions (2024). Demographic by Race 2022 (all geographies, statewide) [Dataset]. https://gisdata.fultoncountyga.gov/maps/449b09ed0cd046078e8a3e7d7327b1bb
    Explore at:
    Dataset updated
    Mar 1, 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 ACS 2018-2022 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:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (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)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)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 2018-2022). 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: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

  20. N

    counties in Georgia Ranked by Multi-Racial Other Race Population // 2025...

    • neilsberg.com
    csv, json
    Updated Feb 13, 2025
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    Neilsberg Research (2025). counties in Georgia Ranked by Multi-Racial Other Race Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/counties-in-georgia-by-multi-racial-other-race-population/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 13, 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
    Georgia
    Variables measured
    Multi-Racial Other Race Population, Multi-Racial Other Race Population as Percent of Total Population of counties in Georgia, Multi-Racial Other Race Population as Percent of Total Multi-Racial Other Race Population of Georgia
    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 154 counties in the Georgia by Multi-Racial Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each counties 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 Multi-Racial Other Race Population: This column displays the rank of counties in the Georgia by their Multi-Racial Some Other Race (SOR) population, using the most recent ACS data available.
    • counties: The counties for which the rank is shown in the previous column.
    • Multi-Racial Other Race Population: The Multi-Racial Other Race population of the counties is shown in this column.
    • % of Total counties Population: This shows what percentage of the total counties population identifies as Multi-Racial Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Georgia Multi-Racial Other Race Population: This tells us how much of the entire Georgia Multi-Racial Other Race population lives in that counties. 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/.

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Georgia Association of Regional Commissions (2021). Population Change 1990 - 2020 (by County) [Dataset]. https://arc-garc.opendata.arcgis.com/datasets/GARC::1990-2020-population-change-state-of-georgia-multiple-geographies?layer=9

Population Change 1990 - 2020 (by County)

Explore at:
Dataset updated
Nov 3, 2021
Dataset authored and provided by
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 is published by the Research & Analytics Group at the Atlanta Regional Commission to show population change by utilizing the 2020 redistricting data and comparable data for 2010, 2000, and 1990 across multiple geographies for the State of Georgia. For a deep dive into the data model including every specific metric, see the Data Manifest. The manifest details ARC-defined naming conventions, names/descriptions and topics where applicable, summary levels; source tables; notes and so forth for all metrics.

It should be noted:The 2020 redistricting release is not as detailed in terms of data compared to ACS estimates; data include total population, population by race and ethnicity, and "voting age" population (i.e., adults) by race and ethnicity, adults are subtracted from the total population to show children (ages 0-17); total number of housing units, occupied housing units, and vacant housing units. Percent and change measures are calculated over four different Censuses.These data are expressed in terms of 2020 geographies such as the new 2020 Census tracts. This means that that historical data for geographies like cities have been estimated to the 2020 boundaries. For example, the city of Atlanta, which has made multiple annexations since 1990, has a higher estimated 1990 population of 400,452 (2020 boundaries) than the 394,017 reported in the 1990 Census (1990 boundaries).Due to changes in block geographies and annexations, 2010 population totals for custom geographies such as City of Atlanta NSAs may differ slightly from the numbers we have published in the past.The procedure to re-estimate historical data to 2020 blocks often results in fractional population (e.g., 1.25 instead of 1 or 2). Counts have been rounded to the nearest whole, but to be more precise, all aggregation, percent, and change measures were performed pre-rounding. Some change measures may appear curious as a result. For example, 100.4 - 20.8 = 79.6 which rounds to 80. But if rounded first, 100.4 rounds down to 100, 20.8 rounds up to 21; 100 - 21 = 79.Asian and Pacific Islander categories are combined to maximize compatibility with the 1990 release, which reported the two groups as a single category. Caution should be exercised with 1990 race data because the Census Bureau changed to the current system (which allows people to identify as biracial or multiracial) starting only in 2000.The "other" race category includes American Indian and Alaska Natives, people identifying with "some other race" and (for 2000 forward), people who identify as biracial or multiracial.For more information regarding Decennial Census source data, visit 2020 Census website

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