19 datasets found
  1. a

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

    • atlas-connecteddmv.hub.arcgis.com
    • regionaldatahub-brag.hub.arcgis.com
    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
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    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. W

    Hispanic and or Black, Indigenous or People of Color (Hspbipoc) Population...

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
    + more versions
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    California Wildfire & Forest Resilience Task Force (2025). Hispanic and or Black, Indigenous or People of Color (Hspbipoc) Population Concentration - Central CA [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-hispanic-and-or-black-indigenous-or-people-of-color-hspbipoc-population-concentration-central-ca
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    wms, wcs, geotiffAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

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

    Description

    Relative concentration of the Central California region's Hispanic and/or Black, Indigenous or person of color (HSPBIPOC) American population. The variable HSPBIPOC is equivalent to all individuals who select a combination of racial and ethnic identity in response to the Census questionnaire EXCEPT those who select "not Hispanic" for the ethnic identity question, and "white race alone" for the racial identity question. This is the most encompassing possible definition of racial and ethnic identities that may be associated with historic underservice by agencies, or be more likely to express environmental justice concerns (as compared to predominantly non-Hispanic white communities). Until 2021, federal agency guidance for considering environmental justice impacts of proposed actions focused on how the actions affected "racial or ethnic minorities." "Racial minority" is an increasingly meaningless concept in the USA, and particularly so in California, where only about 3/8 of the state's population identifies as non-Hispanic and white race alone - a clear majority of Californians identify as Hispanic and/or not white. Because many federal and state map screening tools continue to rely on "minority population" as an indicator for flagging potentially vulnerable / disadvantaged/ underserved populations, our analysis includes the variable HSPBIPOC which is effectively "all minority" population according to the now outdated federal environmental justice direction. A more meaningful analysis for the potential impact of forest management actions on specific populations considers racial or ethnic populations individually: e.g., all people identifying as Hispanic regardless of race; all people identifying as American Indian, regardless of Hispanic ethnicity; etc.

    "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as HSPBIPOC alone to the proportion of all people that live within the 4,961 block groups in the Central California RRK region that identify as HSPBIPOC alone. Example: if 5.2% of people in a block group identify as HSPBIPOC, the block group has twice the proportion of HSPBIPOC individuals compared to the Central California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then HSPBIPOC individuals are highly concentrated locally.

  3. Share of FBI employees by role and gender U.S. 2024

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Share of FBI employees by role and gender U.S. 2024 [Dataset]. https://www.statista.com/statistics/745497/number-of-fbi-employees-by-gender/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    United States
    Description

    As of April 8, **** percent of special agents in the FBI were female in 2024, compared to **** percent who were male. However, more women than men held careers in the FBI as professional staff or intelligence analysts. In that year, **** percent of the entire FBI workforce was female. The FBI The FBI is the United States government agency that deals with national security and law enforcement. As the principal agency that deals with law enforcement, it is primarily focused on domestic issues. The FBI focuses on protecting the United States from terrorist attacks, protecting civil rights, and protecting the United States from foreign espionage and cyber-attacks. The FBI is broken down into six branches, each lead by an executive director. FBI findings As one of the most important agencies in the United States, it was estimated that the FBI spent over *** billion U.S. dollars on all programs in 2020. With the goal to protect Americans domestically, it sees all different types of crime. In 2023, assault and drug and narcotic offenses were the leading reasons for arrest by the FBI. Furthermore, hate crimes have been on the rise lately in the United States, with race, ethnicity, and/or ancestry being the leading reason for hate crime arrests nationwide.

  4. f

    Mortality rates (per 10,000 prisoners) and the relative percentage change in...

    • plos.figshare.com
    xls
    Updated Feb 6, 2025
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    Bryan L. Sykes; Ernest K. Chavez; Justin D. Strong (2025). Mortality rates (per 10,000 prisoners) and the relative percentage change in prisoner mortality for forty-four states reporting to the NCRP, 2000–2014. [Dataset]. http://doi.org/10.1371/journal.pone.0314197.t002
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    xlsAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Bryan L. Sykes; Ernest K. Chavez; Justin D. Strong
    License

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

    Description

    Mortality rates (per 10,000 prisoners) and the relative percentage change in prisoner mortality for forty-four states reporting to the NCRP, 2000–2014.

  5. f

    Absolute changes in life expectancy at age 20 among people in prisons, by...

    • plos.figshare.com
    xls
    Updated Feb 6, 2025
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    Bryan L. Sykes; Ernest K. Chavez; Justin D. Strong (2025). Absolute changes in life expectancy at age 20 among people in prisons, by race & sex across periods, 2000–2014. [Dataset]. http://doi.org/10.1371/journal.pone.0314197.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Bryan L. Sykes; Ernest K. Chavez; Justin D. Strong
    License

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

    Description

    Absolute changes in life expectancy at age 20 among people in prisons, by race & sex across periods, 2000–2014.

  6. Statistics on Race and the Criminal Justice System 2012

    • gov.uk
    Updated Dec 18, 2013
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    Ministry of Justice (2013). Statistics on Race and the Criminal Justice System 2012 [Dataset]. https://www.gov.uk/government/statistics/statistics-on-race-and-the-criminal-justice-system-2012
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    Dataset updated
    Dec 18, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    Section 95 of the Criminal Justice Act 1991 requires the Government to publish statistical data to assess whether any discrimination exists in how the CJS treats individuals based on their ethnicity.

    These statistics are used by policy makers, the agencies who comprise the CJS and others (e.g. academics, interested bodies) to monitor differences between ethnic groups, and to highlight areas where practitioners and others may wish to undertake more in-depth analysis. The identification of differences should not be equated with discrimination as there are many reasons why apparent disparities may exist. The main findings are:

    Victims of crime

    The 2012/13 Crime Survey for England and Wales shows that adults from self-identified Mixed, Black and Asian ethnic groups were more at risk of being a victim of personal crime than adults from the White ethnic group. This has been consistent since 2008/09 for adults from a Mixed or Black ethnic group; and since 2010/11 for adults from an Asian ethnic group. Adults from a Mixed ethnic group had the highest risk of being a victim of personal crime in each year between 2008/09 and 2012/13.

    Homicide victims

    Homicide is a rare event, therefore, homicide victims data are presented aggregated in three-year periods in order to be able to analyse the data by ethnic appearance. The most recent period for which data are available is 2009/10 to 2011/12.

    The overall number of homicides has decreased over the past three three-year periods. The number of homicide victims of White and Other ethnic appearance decreased during each of these three-year periods. However the number of victims of Black ethnic appearance increased in 2006/07 to 2008/09 before falling again in 2009/10 to 2011/12.

    For those homicides where there is a known suspect, the majority of victims were of the same ethnic group as the principal suspect. However, the relationship between victim and principal suspect varied across ethnic groups. In the three-year period from 2009/10 to 2011/12, for victims of White ethnic appearance the largest proportion of principal suspects were from the victim’s own family; for victims of Black ethnic appearance, the largest proportion of principal suspects were a friend or acquaintance of the victim; while for victims of Asian ethnic appearance, the largest proportion of principal suspects were strangers.

    Homicide by sharp instrument was the most common method of killing for victims of White, Black and Asian ethnic appearance in the three most recent three-year periods. However, for homicide victims of White ethnic appearance hitting and kicking represented the second most common method of killing compared with shooting for victims of Black ethnic appearance, and other methods of killing for victims of Asian ethnic appearance.

    Suspects

    In 2011/12, a person aged ten or older (the age of criminal responsibility), who self-identified as belonging to the Black ethnic group was six times more likely than a White person to be stopped and searched under section 1 (s1) of the Police and Criminal Evidence Act 1984 and other legislation in England and Wales; persons from the Asian or Mixed ethnic group were just over two times more likely to be stopped and searched than a White person.

    Despite an increase across all ethnic groups in the number of stops and searches conducted under s1 powers between 2007/08 and 2011/12, the number of resultant arrests decreased across most ethnic groups. Just under one in ten stop and searches in 2011/12 under s1 powers resulted in an arrest in the White and Black self-identified ethnic groups, compared with 12% in 2007/08. The proportion of resultant arrests has been consistently lower for the Asian self-identified ethnic group.

    In 2011/12, for those aged 10 or older, a Black person was nearly three times more likely to be arrested per 1,000 population than a White person, while a person from the Mixed ethnic group was twice as likely. There was no difference in the rate of arrests between Asian and White persons.

    The number of arrests decreased in each year between 2008/09 and 2011/12, consistent with a downward trend in police recorded crime since 2004/05. Overall, the number of arrests decreased for all ethnic groups between 2008/09 and 2011/12, however arrests of suspects from the Black, Asian and Mixed ethnic groups peaked in 2010/11.

    Arrests for drug offences and sexual offences increased for suspects in all ethnic groups except the Chinese or Other ethnic group between 2008/09 and 2011/12. In addition, there were increases in arrests for burglary, robbery and the other offences category for suspects from the Black and Asian ethnic groups.

    Defendants

    The use of out of court disposals (Penalty Notices for Disorder and caution

  7. a

    Environmental Justice Index (Raw Block Group Data)

    • hub.arcgis.com
    Updated Mar 3, 2022
    + more versions
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    North Central Texas Council of Governments (2022). Environmental Justice Index (Raw Block Group Data) [Dataset]. https://hub.arcgis.com/maps/24cc567c0fde49428ccaea62d11366b7_60/about
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    Dataset updated
    Mar 3, 2022
    Dataset authored and provided by
    North Central Texas Council of Governments
    Area covered
    Description

    The Environmental Justice Index (EJI) is a tool that may aid in identifying environmental justice populations using demographic data at the Census block group and Tract levels. This dataset includes raw data associated with the EJI at the Block Group level. Consult the user guide for more information.Executive Order 12898 defines environmental justice populations as low-income and minority groups. This rule states that federally-funded agencies must identify and address disproportionately high and adverse impacts of their programs, policies, and activities on environmental justice populations. In addition, Executive Order 13985, signed on January 20, 2021, requires the federal government to pursue a comprehensive approach to advancing equity. Equity is defined as “the consistent and systematic fair, just, and impartial treatment of all individuals,” including people of color, religious minorities, LGBTQ+ persons, people with disabilities, people who live in rural areas, and people “otherwise adversely affected by persistent poverty or inequality.” This order may affect how equity is addressed in transportation planning in the future.The Environmental Justice Index can support implementation of US Department of Transportation environmental justice principles during transportation planning and project delivery. Because federal transportation agencies recommend against using bright-line thresholds while identifying environmental justice populations, the regional percentages in the Environmental Justice Index should be a starting point for planning, analysis, and outreach. Communities in block groups below the regional percentage threshold should not be excluded. The applications described below are synthesized from educational materials developed and published by federal transportation agencies and from analyses conducted by NCTCOG. The applications may not be appropriate for all analyses and do not represent all potential uses of environmental justice data.

  8. Number of missing persons files in the U.S. 2022, by race

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Number of missing persons files in the U.S. 2022, by race [Dataset]. https://www.statista.com/statistics/240396/number-of-missing-persons-files-in-the-us-by-race/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, there were 313,017 cases filed by the NCIC where the race of the reported missing was White. In the same year, 18,928 people were missing whose race was unknown.

    What is the NCIC?

    The National Crime Information Center (NCIC) is a digital database that stores crime data for the United States, so criminal justice agencies can access it. As a part of the FBI, it helps criminal justice professionals find criminals, missing people, stolen property, and terrorists. The NCIC database is broken down into 21 files. Seven files belong to stolen property and items, and 14 belong to persons, including the National Sex Offender Register, Missing Person, and Identify Theft. It works alongside federal, tribal, state, and local agencies. The NCIC’s goal is to maintain a centralized information system between local branches and offices, so information is easily accessible nationwide.

    Missing people in the United States

    A person is considered missing when they have disappeared and their location is unknown. A person who is considered missing might have left voluntarily, but that is not always the case. The number of the NCIC unidentified person files in the United States has fluctuated since 1990, and in 2022, there were slightly more NCIC missing person files for males as compared to females. Fortunately, the number of NCIC missing person files has been mostly decreasing since 1998.

  9. f

    OLS estimates of the association between state-level criminal justice and...

    • plos.figshare.com
    xls
    Updated Feb 6, 2025
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    Bryan L. Sykes; Ernest K. Chavez; Justin D. Strong (2025). OLS estimates of the association between state-level criminal justice and socioeconomic conditions on prison mortality rates in states reporting to the NCRP, 2000–2014. [Dataset]. http://doi.org/10.1371/journal.pone.0314197.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Bryan L. Sykes; Ernest K. Chavez; Justin D. Strong
    License

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

    Description

    OLS estimates of the association between state-level criminal justice and socioeconomic conditions on prison mortality rates in states reporting to the NCRP, 2000–2014.

  10. w

    Race and the criminal justice system 2010

    • gov.uk
    Updated Jul 26, 2012
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    Ministry of Justice (2012). Race and the criminal justice system 2010 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system--3
    Explore at:
    Dataset updated
    Jul 26, 2012
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Justice
    Description

    Statistics on race and the criminal justice system 2010

    Biennial statistics on the representation of Black, Asian and Minority Ethnic groups as victims, suspects, offenders and employees in the Criminal Justice System.

    These reports are released by the Ministry of Justice and produced in accordance with arrangements approved by the UK Statistics Authority.

    Introduction

    This report provides information about how members of Black, Asian and Minority Ethnic (BME) Groups in England and Wales were represented in the Criminal Justice System (CJS) in the most recent year for which data were available, and, wherever possible, across the last five years. Section 95 of the Criminal Justice Act 1991 requires the Government to publish statistical data to assess whether any discrimination exists in how the CJS treats people based on their race.

    These statistics are used by policy makers, the agencies who comprise the CJS and others to monitor differences between ethnic groups and where practitioners and others may wish to undertake more in-depth analysis. The identification of differences should not be equated with discrimination as there are many reasons why apparent disparities may exist.

    Specific findings

    Victims

    The most recent data on victims showed differences in the risks of crime between ethnic groups and, for homicides, in the relationship between victims and offenders. Overall, the number of racist incidents and racially or religiously aggravated offences recorded by the police had decreased over the last five years. Key Points:

    • The 2010/11 British Crime Survey (BCS) showed that the risk of being a victim of personal crime was higher for adults from a Mixed background than for other ethnic groups. It was also higher for members of all BME groups than for the White group.
    • Over the five-year period 2006/07 to 2010/11, there was a statistically significant fall in the risk of being a victim of personal crime for members of the White group of 0.8%. The apparent decrease for those from BME groups was not statistically significant.
    • Of the 2,007 homicides recorded for the latest three-year period (2007/08 to 2009/10), 75% of victims were White, 12% Black and 8% Asian.
    • In the majority of homicide cases, victims were suspected of being killed by someone from the same ethnic group, which is consistent with previous trends (88% of White victims, 78% of Black victims and 60% of Asian victims).

    Suspects

    Per 1,000 population, higher rates of s1 Stop and Searches were recorded for all BME groups (except for Chinese or Other) than for the White group. While there were decreases across the last five years in the overall number of arrests and in arrests of White people, arrests of those in the Black and Asian group increased.

    • Per 1,000 of the population, Black persons were Stopped and Searched 7.0 times more than White people in 2009/10 compared to 6.0 times more in 2006/07.
    • When referring to the rate per 1,000 population for England and Wales, it is important to bear in mind that the higher rate than that obtained for the rest of England and Wales(excluding the Metropolitan Police Service) is the product of the aggregation of 42 police force areas (PFAs), each with different distributions of both ethnic population and use of Stop and Search powers. While the area served by the Metropolitan Police Service accounts for 14% of the England and Wales population, 43% of s1 Stop and Searches are carried out by the Metropolitan Police Service.
    • Across England and Wales, there was a decrease (just over 3%) in the total number of arrests in 2009/10 (1,386,030) compared to 2005/06 (1,429,785). While the number of arrests for the White group also decreased during this period, arrests of Black persons rose by 5% and arrests of Asian people by 13%.
    • Overall, there were more arrests per 1,000 population of each BME group (except for Chinese or Other) than for people of White ethnicity in 2009/10. Black persons were arrested 3.3 times more than White people, and those from the Mixed ethnic group 2.3 times more.
    • In 2009/10, just over 9% of s1 Stop and Searches compared with 12%, 4% and 1% respectively in 2006/07.

    Defendants

    Data on out of court disposals and court proceedings show some differences in the sanctions issued to people of differing ethnicity and also in sentence lengths. These differences are likely to relate to a range of factors including variations in the types of offences committed and the plea entered, and should therefore be treated with caution. Key points:

    • Conviction ratios for indictable offences were higher for Wh

  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
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    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. W

    Hispanic and or Black, Indigenous or People of Color (Hspbipoc) Population...

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
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    California Wildfire & Forest Resilience Task Force (2025). Hispanic and or Black, Indigenous or People of Color (Hspbipoc) Population Concentration - Sierra Nevada [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-hispanic-and-or-black-indigenous-or-people-of-color-hspbipoc-population-concentration-sierra-nev
    Explore at:
    wcs, geotiff, wmsAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

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

    Description

    Relative concentration of the Sierra Nevada region's Hispanic and/or Black, Indigenous or person of color (HSPBIPOC) population. The variable HSPBIPOC is equivalent to all individuals who select a combination of racial and ethnic identity in response to the Census questionnaire EXCEPT those who select "not Hispanic" for the ethnic identity question, and "white race alone" for the racial identity question. This is the most encompassing possible definition of racial and ethnic identities that may be associated with historic underservice by agencies, or be more likely to express environmental justice concerns (as compared to predominantly non-Hispanic white communities). Until 2021, federal agency guidance for considering environmental justice impacts of proposed actions focused on how the actions affected "racial or ethnic minorities." "Racial minority" is an increasingly meaningless concept in the USA, and particularly so in California, where only about 3/8 of the state's population identifies as non-Hispanic and white race alone - a clear majority of Californians identify as Hispanic and/or not white. Because many federal and state map screening tools continue to rely on "minority population" as an indicator for flagging potentially vulnerable / disadvantaged/ underserved populations, our analysis includes the variable HSPBIPOC which is effectively "all minority" population according to the now outdated federal environmental justice direction. A more meaningful analysis for the potential impact of forest management actions on specific populations considers racial or ethnic populations individually: e.g., all people identifying as Hispanic regardless of race; all people identifying as American Indian, regardless of Hispanic ethnicity; etc.

    "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as HSPBIPOC alone to the proportion of all people that live within the 775 block groups in the Sierra Nevada RRK region that identify as HSPBIPOC alone. Example: if 5.2% of people in a block group identify as HSPBIPOC, the block group has twice the proportion of HSPBIPOC individuals compared to the Sierra Nevada RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then HSPBIPOC individuals are highly concentrated locally.

  13. User's Manual for 1970 Census Fourth Count (Population): School District...

    • icpsr.umich.edu
    ascii
    Updated May 28, 2004
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    United States Department of Education. National Center for Education Statistics (2004). User's Manual for 1970 Census Fourth Count (Population): School District Data Tape [Dataset]. http://doi.org/10.3886/ICPSR03525.v1
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    asciiAvailable download formats
    Dataset updated
    May 28, 2004
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Education. National Center for Education Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/3525/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3525/terms

    Time period covered
    1970
    Area covered
    United States
    Description

    The 1970 Census School District Data Tape (SDDT) User's Guide was designed to complement the 1970 Census User's Guide prepared by the United States Census Bureau. The School District Data Tape (SDDT) created by the National Center for Education Statistics is a recompilation of the 1970 Census Fourth Count Population data, providing data tables for each school district in the country with 300 or more students. The preparation of the School District Data Tape required three major steps: (1) overlaying school district boundaries on census maps, (2) creating a geo-reference tape indicating the percent of each census area falling within each school district, and (3) merging the geo-reference tape with the 1970 Census Fourth Count Population Files A (Traced Areas) and B (Minor Civil Divisions). Some of the major uses of the School District Data Tape include: allocation of federal funds, desegregation planning, bilingual and minority special education planning, preschool and child care planning, facility planning, redistricting, urban-suburban-rural analyses, mobility analysis, social and economic inequality among school districts, and school children profiles. In addition to these uses, most state education agencies will find data by school district of value in allocating federal and state aid to school districts and in the evaluation of the inequality of property taxes as a basis for financing elementary and secondary education. The School District Data Tape matches, as closely as possible, the format of the Fourth Count (Population) Summary tapes supplied by the Census Bureau.

  14. FHFA: Enterprise Housing Goals

    • datalumos.org
    Updated Feb 17, 2025
    + more versions
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    Federal Housing Finance Agency (2025). FHFA: Enterprise Housing Goals [Dataset]. http://doi.org/10.3886/E219804V1
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    License

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

    Description

    From landing page:FHFA establishes annual single-family and multifamily housing goals for mortgages purchased by Fannie Mae and Freddie Mac. The Enterprise Housing Goals include separate categories for single-family mortgages on housing that is affordable to low-income and very low-income families, as well as refinanced mortgages for low-income borrowers. FHFA also establishes separate annual goals for multifamily housing. Loans that are eligible for housing goals credit are mortgages on owner-occupied housing with one to four units. The mortgages must be conventional, conforming mortgages, defined as mortgages that are not insured or guaranteed by the Federal Housing Administration or another government agency and with principal balances that do not exceed the conforming loan limits for Enterprise mortgages. This page provides data on Enterprise performance and activity related to the single-family housi​​ng goals. A full glossary of terms is provided below. Single-Family Enterprise Mortgage Acquisitions: Race and Ethnicity Data The new housing goals data tables provide insight on the racial and ethnic composition of loans acquired by the Enterprises that are eligible for housing goals credit. FHFA has provided the racial and ethnic distribution of the Enterprises' acquisitions across each of the current single-family housing goals categories. ​ Single-Family Housing Goal Loan Segments: State-Level Data FHFA is publishing state-level data for each single-family goal loan purchase and refinance segment. It is important to note that FHFA does not set state-level targets but only at the national level. These tables provide the Enterprises' share in each state along with the market share, as calculated by FHFA using the 'static' HMDA data for each year to determine Enterprise housing goals performance each year. It is important to note that HMDA state-level data are impacted by the number of HMDA-exempt reporters in each state. For more information on HMDA reporting requirements, visit the CFPB HMDA Reporting Requirements page.Low-Income Census Tracts, Minority Census Tracts and Designated Disaster Areas Data The Federal Housing Enterprises Financial Safety and Soundness Act of 1992 (Safety and Soundness Act) provides for the establishment of single-family and multifamily goals each year, including a single-family purchase money mortgage goal for families residing in low-income areas. The Safety and Soundness Act defines "low-income area" for the single-family low-income areas home purchase goal as: Census tracts or block numbering areas in which the median income does not exceed 80 percent of area median income (AMI). In addition, for the purposes of this goal, "families residing in low-income areas" also include: Families with income not greater than 100 percent of AMI who reside in minority census tracts. Families with income not greater than 100 percent of AMI who reside in designated disaster areas. ​A "minority census tract" is a census tract that has a minority population of at least 30 percent and a median income of less than 100 percent of the AMI. A "low-income census tract" is census tract in which the median income does not exceed 80 percent of the AMI. Designated disaster areas are identified by FHFA based on the three most recent years' declarations by the Federal Emergency Management Agency (FEMA), where individual assistance payments were authorized by FEMA. A map of census tracts identified as minority census tracts in 2024 can be ​found here. A map of census tracts identified as low-income census tracts in 2024 can be found here. ​Learn more about low-income census tracts, minority census tracts, and designated disaster areas.

  15. f

    ARC Equity Analysis

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +1more
    Updated Nov 12, 2020
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    Georgia Association of Regional Commissions (2020). ARC Equity Analysis [Dataset]. https://gisdata.fultoncountyga.gov/datasets/GARC::arc-equity-analysis-
    Explore at:
    Dataset updated
    Nov 12, 2020
    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

    ARC's Equity Analysis is widely used throughout the agency to demonstrate compliance with Federal Guidance, including Title VI of the Civil Rights Act of 1964, Limited English Proficiency Executive Order, Americans with Disabilities Act of 1990, Environmental Justice Executive Order, and FHWA and FTA's Title VI and Environmental Justice documents.The Equity Analysis methodology generates a composite score based on the concentrations of the criteria selected, which is used to meet the nondiscrimination requirements and recommendations of Title VI and EJ for ARC's plans, programs, and decision-making processes.The score calculation is determined by standard deviations relative to a criteria's regional average. This score classifies the concentration of the populations of interest under Title VI and EJ present in every census tract in the region. These population groups are represented by the nine equity analysis criteria: youth, older adults, females, racial minorities, ethnic minorities, foreign-born, limited English proficiency, people with disabilities, and low-income.The data for each of the criteria in the equity analysis are split into five "bins" based on the relative concentration across the region: well below average (score of 0); below average (score of 1); average (score of 2); above average (score of 3); and well above average (score of 4). See Figure 1 below. A summary score of all nine indicators for each census tract (ranging from 0-36) is used to show regional concentrations of populations of interest under Title VI and EJ. A summary score of racial minority, ethnic minority, and low-income for each census tract is used in ARC's Project Evaluation Framework to prioritize projects in the Transportation Improvement Program (TIP). This view is the map default.Bin 2 for each indicator contains census tracts at or near (within a half standard deviation from) the regional average (mean) for that indicator. Bins 4, 3, 1, and 0 are then built out from the regional average; Bins 1 and 3 go another full standard deviation out from bin 2, and bins 0 and 4 contain any remaining tracts further out from 1 or 3, respectively. This Equity Analysis supplants previous equity analysis iterations, including ARC's Equitable Target Areas (ETAs).The design of this methodology is supported by both FHWA's and FTA's Title VI recommendations to simply identify the protected classes using demographic data from the US Census Bureau as the first step in conducting equity analyses. Additionally, FTA's EJ guidance cautions recipients of federal funds to not be too reliant on population thresholds to determ ine the impact of a program, plan, or policy to a population group, but rather design a meaning ful measure to identify the presence of all protected and considered population groups and then calculate the possibility of discrimination or disproportionately high and adverse effect on these populations.ARC plans to continue the conversation with its staff, partners, and Transportation Equity Advisory Group (TEAG) about measuring and evaluating transportation benefits and burdens, as well as layering the Equity Analysis with supplemental analyses such as access to essential services, affordability, and displacement.This is a public resource using ACS data. The Atlanta Regional Commission (ARC) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. ARC and partner state, regional, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused, or any decision made or action taken or not taken by any person relying on any information or data furnished within.ARC is committed to enforcing the provisions of Title VI of the Civil Rights Act of 1964 and taking positive and realistic affirmative steps to ensure the protection of rights and opportunities for all persons affected by its programs, services, and activities.

  16. U

    Statistical Abstract of the United States, 2011

    • dataverse-staging.rdmc.unc.edu
    Updated Oct 28, 2011
    + more versions
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    UNC Dataverse (2011). Statistical Abstract of the United States, 2011 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/CD-10849
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    Dataset updated
    Oct 28, 2011
    Dataset provided by
    UNC Dataverse
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-10849https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-10849

    Description

    "The Statistical Abstract of the United States, published since 1878, is the standard summary of statistics on the social, political, and economic organization of the United States. It is designed to serve as a convenient volume for statistical reference and as a guide to other statistical publications and sources. The latter function is served by the introductory text to each section, the source note appearing below each table, and Appendix I, which comprises the Guide to Sources of Statisti cs, the Guide to State Statistical Abstracts, and the Guide to Foreign Statistical Abstracts. The Statistical Abstract sections and tables are compiled into one Adobe PDF named StatAbstract2009.pdf. This PDF is bookmarked by section and by table and can be searched using the Acrobat Search feature. The Statistical Abstract on CD-ROM is best viewed using Adobe Acrobat 5, or any subsequent version of Acrobat or Acrobat Reader. The Statistical Abstract tables and the metropolitan areas tables from Appendix II are available as Excel(.xls or .xlw) spreadsheets. In most cases, these spreadsheet files offer the user direct access to more data than are shown either in the publication or Adobe Acrobat. These files usually contain more years of data, more geographic areas, and/or more categories of subjects than those shown in the Acrobat version. The extensive selection of statistics is provided for the United States, with selected data for regions, divisions, states, metropolitan areas, cities, and foreign countries from reports and records of government and private agencies. Software on the disc can be used to perform full-text searches, view official statistics, open tables as Lotus worksheets or Excel workbooks, and link directly to source agencies and organizations for supporting information. Except as indicated, figures are for the United States as presently constituted. Although emphasis in the Statistical Abstract is primarily given to national data, many tables present data for regions and individual states and a smaller number for metropolitan areas and cities.Statistics for the Commonwealth of Puerto Rico and for island areas of the United States are included in many state tables and are supplemented by information in Section 29. Additional information for states, cities, counties, metropolitan areas, and other small units, as well as more historical data are available in various supplements to the Abstract. Statistics in this edition are generally for the most recent year or period available by summer 2006. Each year over 1,400 tables and charts are reviewed and evaluated; new tables and charts of current interest are added, continuing series are updated, and less timely data are condensed or eliminated. Text notes and appendices are revised as appropriate. This year we have introduced 72 new tables covering a wide range of subject areas. These cover a variety of topics including: learning disability for children, people impacted by the hurricanes in the Gulf Coast area, employees with alternative work arrangements, adult computer and Internet users by selected characteristics, North America cruise industry, women- and minority-owned businesses, and the percentage of the adult population considered to be obese. Some of the annually surveyed topics are population; vital statistics; health and nutrition; education; law enforcement, courts and prison; geography and environment; elections; state and local government; federal government finances and employment; national defense and veterans affairs; social insurance and human services; labor force, employment, and earnings; income, expenditures, and wealth; prices; business enterprise; science and technology; agriculture; natural resources; energy; construction and housing; manufactures; domestic trade and services; transportation; information and communication; banking, finance, and insurance; arts, entertainment, and recreation; accommodation, food services, and other services; foreign commerce and aid; outlying areas; and comparative international statistics." Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

  17. A

    COVID-19 Vaccinations by Age and Race-Ethnicity

    • data.amerigeoss.org
    csv, json, rdf, xml
    Updated Jul 27, 2022
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    United States (2022). COVID-19 Vaccinations by Age and Race-Ethnicity [Dataset]. https://data.amerigeoss.org/dataset/covid-19-vaccinations-by-age-and-race-ethnicity
    Explore at:
    csv, xml, json, rdfAvailable download formats
    Dataset updated
    Jul 27, 2022
    Dataset provided by
    United States
    Description

    COVID-19 vaccinations administered to Chicago residents based on the reported race-ethnicity and age group of the person vaccinated, as provided by the medical provider in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE).

    Vaccination Status Definitions:

    ·People with at least one vaccine dose: Number of people who have received at least one dose of any COVID-19 vaccine, including the single-dose Johnson & Johnson COVID-19 vaccine.

    ·People with a completed vaccine series: Number of people who have completed a primary COVID-19 vaccine series. Requirements vary depending on age and type of primary vaccine series received.

    ·People with at least one booster dose: Number of people who have a completed vaccine series and have received at least one additional dose. This includes people who received a booster dose and immunocompromised people who received an additional primary dose of COVID-19 vaccine. Eligibility and recommendations vary by age and type of primary vaccine series received.

    Weekly cumulative totals by vaccination status are shown for each combination of race-ethnicity and age group. Note that each age group has a row where race-ethnicity is "All" so care should be taken when summing rows.

    Vaccinations are counted based on the date on which they were administered. Weekly cumulative totals are reported from the week ending Saturday, December 19, 2020 onward (after December 15, when vaccines were first administered in Chicago) through the Saturday prior to the dataset being updated.

    Population counts are from the U.S. Census Bureau American Community Survey (ACS) 2019 1-year estimates. For some of the age groups by which COVID-19 vaccine has been authorized in the United States, race-ethnicity distributions were specifically reported in the ACS estimates. For others, race-ethnicity distributions were estimated by the Chicago Department of Public Health (CDPH) by weighting the available race-ethnicity distributions, using proportions of constituent age groups.

    Coverage percentages are calculated based on the cumulative number of people in each population subgroup (age group by race-ethnicity) who have each vaccination status as of the date, divided by the estimated number of Chicago residents in each subgroup.

    Actual counts may exceed population estimates and lead to >100% coverage, especially in small race-ethnicity subgroups of each age group. All coverage percentages are capped at 99%.

    All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH.

    Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined.

    CDPH uses the most complete data available to estimate COVID-19 vaccination coverage among Chicagoans, but there are several limitations that impact our estimates. Data reported in I-CARE only include doses administered in Illinois and some doses administered outside of Illinois reported historically by Illinois providers. Doses administered by federal agencies, like the Veterans Health Administration, are also not currently reported in I-CARE. Due to people receiving vaccinations that are not recorded in I-CARE that can be linked to their record, such as someone receiving a vaccine dose in another state, the number of people with a completed series or a booster dose is underestimated. Inconsistencies in records of separate doses administered to the same person, such as slight variations in dates of birth, can result in duplicate first dose records for a person and overestimate of the number of people with at least one dose and underestimate of the number of people with a completed vaccine series.

    For all datasets related to COVID-19, see https://data.cityofchicago.org/browse?lim

  18. f

    Generalized linear model estimates predicting likelihood of conversion to a...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Michael J. Dockry; Sonya S. Sachdeva; Cherie L. Fisher; Laura S. Kenefic; Dexter H. Locke; Lynne M. Westphal (2023). Generalized linear model estimates predicting likelihood of conversion to a permanent position across all employees in the USDA forest service by trainee program, race/ethnicity, gender, deputy area, job field, and year of first employment with the agency. [Dataset]. http://doi.org/10.1371/journal.pone.0277423.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael J. Dockry; Sonya S. Sachdeva; Cherie L. Fisher; Laura S. Kenefic; Dexter H. Locke; Lynne M. Westphal
    License

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

    Description

    Deputy Area refers to branches within the agency, akin to different departments. Job Field pertains to an individual’s type of occupation.

  19. a

    Interactive Equity Analysis Tool and Data (formerly ETAs)

    • hub.arcgis.com
    • opendata.atlantaregional.com
    Updated Feb 27, 2019
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    Georgia Association of Regional Commissions (2019). Interactive Equity Analysis Tool and Data (formerly ETAs) [Dataset]. https://hub.arcgis.com/documents/GARC::interactive-equity-analysis-tool-and-data-formerly-etas/about
    Explore at:
    Dataset updated
    Feb 27, 2019
    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 Atlanta Regional Commission (ARC) has created an interactive equity analysis tool to help address these questions as featured on 33n, the ARC Research & Analytics Blog. In the past, the ARC used a static map of their Equitable Target Areas (ETA) for project evaluation. The ETA index was a tool that helped ARC better identify areas with minority or low-income populations to understand how proposed projects might impact these groups.Now, Atlanta Regional Commission has created a transportation data platform called DASH where a more nuanced equity analysis can be visualized. This equity analysis helps ARC understand where people reside across all nine of the federally protected classes. Coming soon, there will be transportation data added to DASH. Combined with the data already included, the equity analysis provided by DASH will help guide regional transportation and land use planning and will be used as input for project prioritization and evaluation, monitoring resource allocation, and assisting in decision-making.ARC's Equity Analysis is widely used throughout the agency to demonstrate compliance with Federal Guidance, including Title VI of the Civil Rights Act of 1964, Limited English Proficiency Executive Order, Americans with Disabilities Act of 1990, Environmental Justice Executive Order, and FHWA and FTA's Title VI and Environmental Justice documents.MethodologyThe Equity Analysis methodology generates a composite score based on the concentrations of the criteria selected, which is used to meet the nondiscrimination requirements and recommendations of Title VI and EJ for ARC's plans, programs, and decision-making processes.The score calculation is determined by standard deviations relative to a criteria's regional average. This score classifies the concentration of the populations of interest under Title VI and EJ present in every census tract in the region. These population groups are represented by the nine equity analysis criteria: youth, older adults, females, racial minorities, ethnic minorities, foreign-born, limited English proficiency, people with disabilities, and low-income.The data for each of the criteria in the equity analysis are split into five "bins" based on the relative concentration across the region: well below average (score of 0); below average (score of 1); average (score of 2); above average (score of 3); and well above average (score of 4). See Figure 1 below. A summary score of all nine indicators for each census tract (ranging from 0-36) is used to show regional concentrations of populations of interest under Title VI and EJ. A summary score of racial minority, ethnic minority, and low-income for each census tract is used in ARC's Project Evaluation Framework to prioritize projects in the Transportation Improvement Program (TIP). This view is the map default.Bin 2 for each indicator contains census tracts at or near (within a half standard deviation from) the regional average (mean) for that indicator. Bins 4, 3, 1, and 0 are then built out from the regio nal average; Bins 1 and 3 go another full standard deviation out from bin 2, and bins 0 and 4 contain any remaining tracts further out from 1 or 3, respectively.This Equity Analysis supplants previous equity analysis iterations, including ARC's Equitable Targ et Areas (ETAs).The design of this methodology is supported by both FHWA's and FTA's Title VI recommendations to simply identify the protected classes using demographic data from the US Census Bureau as the first step in conducting equity analyses. Additionally, FTA's EJ guidance cautions recipients of federal funds to not be too reliant on population thresholds to determ ine the impact of a program, plan, or policy to a population group, but rather design a meaning ful measure to identify the presence of all protected and considered population groups and then calculate the possibility of discrimination or disproportionately high and adverse effect on these populations.ARC plans to continue the conversation with its staff, partners, and Transportation Equity Advisory Group (TEAG) about measuring and evaluating transportation benefits and burdens, as well as layering the Equity Analysis with supplemental analyses such as access to essential services, affordability, and displacement.Data DisclaimerThis webpage is a public resource using ACS data. The Atlanta Regional Commission (ARC) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. ARC and partner state, regional, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused, or any decision made or action taken or not taken by any person relying on any information or data furnished within.ARC is committed to enforcing the provisions of Title VI of the Civil Rights Act of 1964 and taking positive and realistic affirmative steps to ensure the protection of rights and opportunities for all persons affected by its programs, services, and activities.CSV DownloadGIS Data Available SoonDate: 2018Equity Analysis Contact Info:Aileen DaneySenior PlannerTransportation Access & Mobility Group470.378.1579adaney@atlantaregional.orgTitle VI Policy and Complaint Contact Info:Brittany ZwaldTitle VI Officer/Grants and Contracts AnalystFinance Group470.378.1494bzwald@atlantaregional.orgFor more information on ARC's Title VI program or to obtain a Title VI Policy and Complaint Form please visit:https://atlantaregional.org/leadership-and-engagement/guidelines-compliance/title-vi-plan-and-program/

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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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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