36 datasets found
  1. a

    Justice40 Disadvantaged or Partially Disadvantaged Tracts by Race/Ethnicity...

    • atlas-connecteddmv.hub.arcgis.com
    • regionaldatahub-brag.hub.arcgis.com
    • +1more
    Updated Jun 10, 2022
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    ArcGIS Living Atlas Team (2022). Justice40 Disadvantaged or Partially Disadvantaged Tracts by Race/Ethnicity (Archive) [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/maps/945b3f2e39a64569ab2d0700a527361b
    Explore at:
    Dataset updated
    Jun 10, 2022
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map shows Census tracts throughout the US based on if they are considered disadvantaged or partially disadvantaged according to Justice40 Initiative criteria. This is overlaid with the most recent American Community Survey (ACS) figures from the U.S. Census Bureau to communicate the predominant race that lives within these disadvantaged or partially disadvantaged tracts. Predominance helps us understand the group of population which has the largest count within an area. Colors are more transparent if the predominant race has a similar count to another race/ethnicity group. The colors on the map help us better understand the predominant race or ethnicity:Hispanic or LatinoWhite Alone, not HispanicBlack or African American Alone, not HispanicAsian Alone, not HispanicAmerican Indian and Alaska Native Alone, not HispanicTwo or more races, not HispanicNative Hawaiian and Other Pacific Islander, not HispanicSome other race, not HispanicSearch for any region, city, or neighborhood throughout the US, DC, and Puerto Rico to learn more about the population in the disadvantaged tracts. Click on any tract to learn more. Zoom to your area, filter to your county or state, and save this web map focused on your area to share the pattern with others. You can also use this web map within an ArcGIS app such as a dashboard, instant app, or story. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.Note: Justice40 tracts use 2010-based boundaries, while the most recent ACS figures are offered on 2020-based boundaries. When you click on an area, there will be multiple pop-ups returned due to the differences in these boundaries. From Justice40 data source:"Census tract geographical boundaries are determined by the U.S. Census Bureau once every ten years. This tool utilizes the census tract boundaries from 2010 because they match the datasets used in the tool. The U.S. Census Bureau will update these tract boundaries in 2020.Under the current formula, a census tract will be identified as disadvantaged in one or more categories of criteria:IF the tract is above the threshold for one or more environmental or climate indicators AND the tract is above the threshold for the socioeconomic indicatorsCommunities are identified as disadvantaged by the current version of the tool for the purposes of the Justice40 Initiative if they are located in census tracts that are at or above the combined thresholds in one or more of eight categories of criteria.The goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening toolPurpose"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40

  2. N

    Federal Way, WA Population Breakdown By Race (Excluding Ethnicity) Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). Federal Way, WA Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/7570a277-ef82-11ef-9e71-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 21, 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
    Federal Way, Washington
    Variables measured
    Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. 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

    The dataset tabulates the population of Federal Way by race. It includes the population of Federal Way across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Federal Way across relevant racial categories.

    Key observations

    The percent distribution of Federal Way population by race (across all racial categories recognized by the U.S. Census Bureau): 38.79% are white, 17.80% are Black or African American, 0.88% are American Indian and Alaska Native, 14.51% are Asian, 3.22% are Native Hawaiian and other Pacific Islander, 10.17% are some other race and 14.63% are multiracial.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (excluding ethnicity) for the Federal Way
    • Population: The population of the racial category (excluding ethnicity) in the Federal Way is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Federal Way total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Federal Way Population by Race & Ethnicity. You can refer the same here

  3. F

    Personal Taxes: State and Local Income Taxes by Race: White and All Other...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Personal Taxes: State and Local Income Taxes by Race: White and All Other Races, Not Including Black or African American [Dataset]. https://fred.stlouisfed.org/series/CXUSTATETAXLB0903M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Personal Taxes: State and Local Income Taxes by Race: White and All Other Races, Not Including Black or African American (CXUSTATETAXLB0903M) from 2003 to 2023 about state & local, tax, white, government, personal, income, and USA.

  4. N

    Federal Heights, CO Population Breakdown By Race (Excluding Ethnicity)...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). Federal Heights, CO Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/federal-heights-co-population-by-race/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 21, 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
    Federal Heights, Colorado
    Variables measured
    Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. 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

    The dataset tabulates the population of Federal Heights by race. It includes the population of Federal Heights across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Federal Heights across relevant racial categories.

    Key observations

    The percent distribution of Federal Heights population by race (across all racial categories recognized by the U.S. Census Bureau): 49.36% are white, 1.14% are Black or African American, 0.81% are American Indian and Alaska Native, 3.45% are Asian, 0.76% are Native Hawaiian and other Pacific Islander, 15.26% are some other race and 29.22% are multiracial.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (excluding ethnicity) for the Federal Heights
    • Population: The population of the racial category (excluding ethnicity) in the Federal Heights is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Federal Heights total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Federal Heights Population by Race & Ethnicity. You can refer the same here

  5. O

    Emergency Assistance by Race and Hispanic Ethnicity

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Mar 11, 2021
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    (2021). Emergency Assistance by Race and Hispanic Ethnicity [Dataset]. https://opendata.ramseycounty.us/Social-Services/Emergency-Assistance-by-Race-and-Hispanic-Ethnicit/4rmz-qrvi
    Explore at:
    json, application/rssxml, xml, tsv, csv, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 11, 2021
    Description

    Applicants for emergency assistance by race and Hispanic ethnicity. Funding is through the Ramsey County Investment and Support Efforts (RISE) program in 2021. The RISE program was established using funding from the federal government through the Coronavirus Aid, Relief and Economic Security (CARES) Act.

  6. N

    Federal Heights, CO Non-Hispanic Population Breakdown By Race Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). Federal Heights, CO Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/federal-heights-co-population-by-race/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 21, 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
    Federal Heights, Colorado
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. 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

    The dataset tabulates the Non-Hispanic population of Federal Heights by race. It includes the distribution of the Non-Hispanic population of Federal Heights across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Federal Heights across relevant racial categories.

    Key observations

    Of the Non-Hispanic population in Federal Heights, the largest racial group is White alone with a population of 3,997 (82.12% of the total Non-Hispanic population).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (for Non-Hispanic) for the Federal Heights
    • Population: The population of the racial category (for Non-Hispanic) in the Federal Heights is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Federal Heights total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Federal Heights Population by Race & Ethnicity. You can refer the same here

  7. f

    FY23 Federal Contracting Data by Race/Ethnicity - Dataset - U.S. Small...

    • fanyv88.com
    Updated May 13, 2024
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    (2024). FY23 Federal Contracting Data by Race/Ethnicity - Dataset - U.S. Small Business Administration (SBA) | Open Data [Dataset]. https://fanyv88.com/https/data.sba.gov/dataset/fy23-federal-contracting-data-by-race-ethnicity
    Explore at:
    Dataset updated
    May 13, 2024
    Area covered
    United States
    Description

    This is the FY23 Federal Contracting Data by Race/Ethnicity. The source is SBA Small Business Goaling Report. Data and Resources disaggregated_by_agency_fy23.csvCSV FY23 Federal Contracting Data by Race/Ethnicity Explore Preview Download

  8. U.S. trust in government 1972-2024, by race

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. trust in government 1972-2024, by race [Dataset]. https://www.statista.com/statistics/1078246/trust-government-us-race/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    It seems the level of trust in government by race varies significantly depending on who is in power, with the share of Black people in the U.S. who trust their government always or most of the time increasing to ** percent in a May 2024 survey. This compares to a high of ** percent in October 2011. These extremes correspond with the Biden and Obama presidencies, respectively.

  9. Applications for Employment with the Board of Governors of the Federal...

    • catalog.data.gov
    • datasets.ai
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Applications for Employment with the Board of Governors of the Federal Reserve System [Dataset]. https://catalog.data.gov/dataset/applications-for-employment-with-the-board-of-governors-of-the-federal-reserve-system
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    The application currently consists of the following forms: • Application for Employment (FR 28), which collects information to determine the qualifications of applicants for employment with the Board (such as education and training, employment record, and other information since the time the applicant left high school), • Applicant’s Voluntary Self-Identification (FR 28s), which is an optional form that collects information on the applicant’s gender, race, and ethnicity, and • Research Assistant Candidate Survey of Interests and Computer Experience (FR 28i) if the applicant is applying for a position as a Research Assistant (RA), which collects information on the RA applicant’s level of interest in various economic topics and experience in different data analytics/programs.

  10. Race Demographics in the 2010 Census

    • hub.arcgis.com
    Updated May 11, 2017
    + more versions
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    Esri U.S. Federal Datasets (2017). Race Demographics in the 2010 Census [Dataset]. https://hub.arcgis.com/maps/2158ce05955d4c529636b9fa0943193f
    Explore at:
    Dataset updated
    May 11, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Race Demographics in the 2010 CensusThis feature layer, utilizing data from the U.S. Census Bureau (USCB), contains demographics about race and ethnicity in the 2010 U.S. Census. The data is provided for state, county, tract, and block group geographies. These attributes cover topics such as the count of population, householder information, and family type by race/ethnicity.Per the Census, "Also known as the Population and Housing Census, the Decennial U.S. Census is designed to count every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute hundreds of billions of dollars in federal funds to local communities."There are four layers: state, county, census tract, and census block group. Each layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas. Only one geography is in view at any time.Race Demographics in the 2010 CensusData currency: 2010For more information: Race and Ethnicity in the United States: 2010 Census and 2020 CensusFor feedback please contact: ArcGIScomNationalMaps@esri.comData Processing notes:State and county boundaries are simplified representations offered from the Census Bureau's 2010 MAF/TIGER databaseTract and block group boundaries are 2010 TIGER boundaries with select water area boundaries erased (coastlines and major water bodies)Field names and aliases are processed by Esri as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document.U.S. Census BureauPer USCB, "the Census Bureau is the federal government’s largest statistical agency. We are dedicated to providing current facts and figures about America’s people, places, and economy. Federal law protects the confidentiality of all the information the Census Bureau collects."

  11. a

    Tract

    • hub.arcgis.com
    Updated May 11, 2017
    + more versions
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    Esri U.S. Federal Datasets (2017). Tract [Dataset]. https://hub.arcgis.com/maps/fedmaps::tract-3
    Explore at:
    Dataset updated
    May 11, 2017
    Dataset authored and provided by
    Esri U.S. Federal Datasets
    Area covered
    Description

    Race Demographics in the 2010 CensusThis feature layer, utilizing data from the U.S. Census Bureau (USCB), contains demographics about race and ethnicity in the 2010 U.S. Census. The data is provided for state, county, tract, and block group geographies. These attributes cover topics such as the count of population, householder information, and family type by race/ethnicity.Per the Census, "Also known as the Population and Housing Census, the Decennial U.S. Census is designed to count every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute hundreds of billions of dollars in federal funds to local communities."There are four layers: state, county, census tract, and census block group. Each layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas. Only one geography is in view at any time.Race Demographics in the 2010 CensusData currency: 2010For more information: Race and Ethnicity in the United States: 2010 Census and 2020 CensusFor feedback please contact: ArcGIScomNationalMaps@esri.comData Processing notes:State and county boundaries are simplified representations offered from the Census Bureau's 2010 MAF/TIGER databaseTract and block group boundaries are 2010 TIGER boundaries with select water area boundaries erased (coastlines and major water bodies)Field names and aliases are processed by Esri as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document.U.S. Census BureauPer USCB, "the Census Bureau is the federal government’s largest statistical agency. We are dedicated to providing current facts and figures about America’s people, places, and economy. Federal law protects the confidentiality of all the information the Census Bureau collects."

  12. p

    Trends in Two or More Races Student Percentage (2011-2023): Federal Street...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Two or More Races Student Percentage (2011-2023): Federal Street School vs. Massachusetts vs. Greenfield School District [Dataset]. https://www.publicschoolreview.com/federal-street-school-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Greenfield School District, Massachusetts, Federal Street
    Description

    This dataset tracks annual two or more races student percentage from 2011 to 2023 for Federal Street School vs. Massachusetts and Greenfield School District

  13. N

    Federal Heights, CO Population Breakdown by Race

    • neilsberg.com
    csv, json
    Updated Aug 18, 2023
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    Neilsberg Research (2023). Federal Heights, CO Population Breakdown by Race [Dataset]. https://www.neilsberg.com/research/datasets/68ec0229-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 18, 2023
    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
    Federal Heights, Colorado
    Variables measured
    Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. 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

    The dataset tabulates the population of Federal Heights by race. It includes the population of Federal Heights across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Federal Heights across relevant racial categories.

    Key observations

    The percent distribution of Federal Heights population by race (across all racial categories recognized by the U.S. Census Bureau): 71.98% are white, 0.71% are Black or African American, 0.68% are American Indian and Alaska Native, 2.99% are Asian, 0.74% are Native Hawaiian and other Pacific Islander, 9.29% are some other race and 13.61% are multiracial.

    https://i.neilsberg.com/ch/federal-heights-co-population-by-race.jpeg" alt="Federal Heights population by race">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (excluding ethnicity) for the Federal Heights
    • Population: The population of the racial category (excluding ethnicity) in the Federal Heights is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Federal Heights total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Federal Heights Population by Race & Ethnicity. You can refer the same here

  14. p

    Trends in Two or More Races Student Percentage (2012-2023): Federal Hocking...

    • publicschoolreview.com
    Updated Mar 14, 2024
    + more versions
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    Public School Review (2024). Trends in Two or More Races Student Percentage (2012-2023): Federal Hocking Middle School vs. Ohio vs. Federal Hocking Local School District [Dataset]. https://www.publicschoolreview.com/federal-hocking-middle-school-profile
    Explore at:
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Federal Hocking Local School District, Ohio
    Description

    This dataset tracks annual two or more races student percentage from 2012 to 2023 for Federal Hocking Middle School vs. Ohio and Federal Hocking Local School District

  15. F

    Income Before Taxes: Social Security, Private & Government Retirement by...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Income Before Taxes: Social Security, Private & Government Retirement by Race: Black or African American [Dataset]. https://fred.stlouisfed.org/series/CXURETIRINCLB0905M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Income Before Taxes: Social Security, Private & Government Retirement by Race: Black or African American (CXURETIRINCLB0905M) from 1984 to 2023 about social, retirement, social assistance, African-American, tax, government, private, income, and USA.

  16. Share of FBI employees U.S. 2024, by role and race

    • statista.com
    Updated Nov 18, 2024
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    Statista (2024). Share of FBI employees U.S. 2024, by role and race [Dataset]. https://www.statista.com/statistics/1371591/share-of-fbi-employees-by-role-and-race/
    Explore at:
    Dataset updated
    Nov 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    United States
    Description

    As of 2024, 9.1 percent of special agents working for the Federal Bureau of Investigation in the United States were Hispanic or Latino, while 5.4 percent who were Black. In comparison, 14.3 percent of FBI employees working professional careers were Black, followed by 10.6 percent who were Hispanic or Latino.

  17. N

    Federal Dam, MN Population Breakdown By Race (Excluding Ethnicity) Dataset:...

    • neilsberg.com
    csv, json
    Updated Jul 7, 2024
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    Neilsberg Research (2024). Federal Dam, MN Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/2de64ced-230c-11ef-bd92-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 7, 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
    Minnesota, Federal Dam
    Variables measured
    Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. 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

    The dataset tabulates the population of Federal Dam by race. It includes the population of Federal Dam across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Federal Dam across relevant racial categories.

    Key observations

    The percent distribution of Federal Dam population by race (across all racial categories recognized by the U.S. Census Bureau): 43.04% are white, 19.62% are American Indian and Alaska Native, 2.53% are Asian and 34.81% are multiracial.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (excluding ethnicity) for the Federal Dam
    • Population: The population of the racial category (excluding ethnicity) in the Federal Dam is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Federal Dam total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Federal Dam Population by Race & Ethnicity. You can refer the same here

  18. g

    Race of Prisoners Admitted to State and Federal Institutions in the United...

    • gimi9.com
    Updated Sep 2, 2022
    + more versions
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    (2022). Race of Prisoners Admitted to State and Federal Institutions in the United States, 1926-1986 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_race-of-prisoners-admitted-to-state-and-federal-institutions-in-the-united-states-1926-198/
    Explore at:
    Dataset updated
    Sep 2, 2022
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    United States
    Description

    This data collection includes tabulations of annual adult admissions to federal and state correctional institutions by race. Data are provided for the years 1926 to 1986 and include tabulations for prisons in each of the 50 states and the District of Columbia, as well as federal prison totals and United States totals. The figures were derived from a voluntary reporting program in which each state, the District of Columbia, and the Federal Bureau of Prisons reported summary and detailed statistics as a part of the National Prisoner Statistics series. Individual state and United States population figures according to racial categories also are provided.

  19. p

    Trends in Two or More Races Student Percentage (2011-2023): Federal Way...

    • publicschoolreview.com
    Updated Feb 9, 2025
    + more versions
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    Public School Review (2025). Trends in Two or More Races Student Percentage (2011-2023): Federal Way Public School Eceap vs. Washington vs. Federal Way School District [Dataset]. https://www.publicschoolreview.com/federal-way-public-school-eceap-profile
    Explore at:
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Federal Way School District
    Description

    This dataset tracks annual two or more races student percentage from 2011 to 2023 for Federal Way Public School Eceap vs. Washington and Federal Way School District

  20. p

    Trends in Two or More Races Student Percentage (2022-2023): Rocky Mountain...

    • publicschoolreview.com
    Updated Feb 14, 2022
    + more versions
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    Public School Review (2022). Trends in Two or More Races Student Percentage (2022-2023): Rocky Mountain Prep Federal vs. Colorado vs. School District No. 1 In The County Of Denver And State Of C [Dataset]. https://www.publicschoolreview.com/rocky-mountain-prep-federal-profile
    Explore at:
    Dataset updated
    Feb 14, 2022
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Denver, Colorado
    Description

    This dataset tracks annual two or more races student percentage from 2022 to 2023 for Rocky Mountain Prep Federal vs. Colorado and School District No. 1 In The County Of Denver And State Of C

Share
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ArcGIS Living Atlas Team (2022). Justice40 Disadvantaged or Partially Disadvantaged Tracts by Race/Ethnicity (Archive) [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/maps/945b3f2e39a64569ab2d0700a527361b

Justice40 Disadvantaged or Partially Disadvantaged Tracts by Race/Ethnicity (Archive)

Explore at:
Dataset updated
Jun 10, 2022
Dataset authored and provided by
ArcGIS Living Atlas Team
Area covered
Description

This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map shows Census tracts throughout the US based on if they are considered disadvantaged or partially disadvantaged according to Justice40 Initiative criteria. This is overlaid with the most recent American Community Survey (ACS) figures from the U.S. Census Bureau to communicate the predominant race that lives within these disadvantaged or partially disadvantaged tracts. Predominance helps us understand the group of population which has the largest count within an area. Colors are more transparent if the predominant race has a similar count to another race/ethnicity group. The colors on the map help us better understand the predominant race or ethnicity:Hispanic or LatinoWhite Alone, not HispanicBlack or African American Alone, not HispanicAsian Alone, not HispanicAmerican Indian and Alaska Native Alone, not HispanicTwo or more races, not HispanicNative Hawaiian and Other Pacific Islander, not HispanicSome other race, not HispanicSearch for any region, city, or neighborhood throughout the US, DC, and Puerto Rico to learn more about the population in the disadvantaged tracts. Click on any tract to learn more. Zoom to your area, filter to your county or state, and save this web map focused on your area to share the pattern with others. You can also use this web map within an ArcGIS app such as a dashboard, instant app, or story. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.Note: Justice40 tracts use 2010-based boundaries, while the most recent ACS figures are offered on 2020-based boundaries. When you click on an area, there will be multiple pop-ups returned due to the differences in these boundaries. From Justice40 data source:"Census tract geographical boundaries are determined by the U.S. Census Bureau once every ten years. This tool utilizes the census tract boundaries from 2010 because they match the datasets used in the tool. The U.S. Census Bureau will update these tract boundaries in 2020.Under the current formula, a census tract will be identified as disadvantaged in one or more categories of criteria:IF the tract is above the threshold for one or more environmental or climate indicators AND the tract is above the threshold for the socioeconomic indicatorsCommunities are identified as disadvantaged by the current version of the tool for the purposes of the Justice40 Initiative if they are located in census tracts that are at or above the combined thresholds in one or more of eight categories of criteria.The goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening toolPurpose"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40

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