The map displays the predominant changes in race and ethnic populations from Census year 2020 for Dallas Council Districts and census tracts.This map is part of a collection of maps shown on the Race and Ethnicity page of the Dallas Census Hub.

This map was created to illustrate the residential patterns of 'Mexican' and 'Negro' demographics within the City of Dallas, serving as a historical record of segregation and racial demographics in the city. By visually documenting where these communities lived, the map provides a critical lens into the social, economic, and political landscape of Dallas during that period.This historical artifact is a key feature in the Racial Equity Storymap, an initiative aimed at uncovering and sharing the city’s complex history of racial inequity. By situating this map within the broader context of systemic policies and practices, the Storymap encourages reflection on how these historical dynamics continue to shape the city’s present-day communities and challenges.In addition to its historical significance, the map serves as an educational tool, helping residents, researchers, and policymakers better understand the enduring impacts of segregation, redlining, and discriminatory housing policies. Its inclusion in the Racial Equity Storymap underscores the importance of confronting and learning from the past to inform ongoing efforts to foster equity and inclusion in Dallas.By preserving and sharing this visual documentation, the City of Dallas aims to promote transparency, education, and dialogue as part of a larger commitment to racial equity and justice.

One each set of datafiles formatted in .csv and in ESRI shape file together with one metadata document.

This map is part of the Race and Ethnicity page of the Dallas Census Hub and displays racial distribution across Dallas for Census year 2010. The dots are randomly placed within the area and each dot is representative of 8 persons.The pop-ups provide a detailed breakdown of population numbers by race/ethnicity.

White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, AR was 47.64% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, AR reached a record high of 47.64 in January of 2023 and a record low of 17.51 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, AR - last updated from the United States Federal Reserve on June of 2025.

White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, AL was 45.99% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, AL reached a record high of 55.38 in January of 2014 and a record low of 45.99 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, AL - last updated from the United States Federal Reserve on May of 2025.

In 2023, the population of the Dallas-Fort Worth-Arlington metropolitan area in the United States was about 8.1 million people. This was a slight increase from the previous year, where the population was about 7.95 million people.

White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, TX was 48.09% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, TX reached a record high of 48.09 in January of 2023 and a record low of 44.70 in January of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, TX - last updated from the United States Federal Reserve on July of 2025.

White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, MO was 42.86% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, MO reached a record high of 51.40 in January of 2022 and a record low of 5.28 in January of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, MO - last updated from the United States Federal Reserve on June of 2025.

White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, IA was 24.90% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, IA reached a record high of 49.58 in January of 2009 and a record low of 24.90 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for Dallas County, IA - last updated from the United States Federal Reserve on June of 2025.

This map shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2016-2020 5-year estimates, Table(s) B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

This dataset tracks annual diversity score from 1989 to 2003 for Dallas Early Learning Center vs. Wisconsin and Barron Area School District

Graph and download economic data for Employed Persons in Dallas-Fort Worth-Arlington, TX (MSA) (LAUMT481910000000005) from Jan 1990 to Apr 2025 about Dallas, household survey, TX, employment, persons, and USA.

The map application contains two tabs of map displays. The first tab displays a side-by-side comparison of racial and ethnic populations in Dallas for Census years 2010 and 2020. The tab on the right shows the race or ethnicity that had the greatest change (increase/decrease) from year 2010 to 2020.This application shows data for Council District and census tract levelsThis application uses the following webmaps:Racial and Ethnic Population - 2010Racial and Ethnic Population - 2020Racial and Ethnic Population Change

This layer summarizes racial and ethnic diversity in the City of Dallas. The Diversity Index shows the likelihood that two persons chosen at random from the same area, belong to different race or ethnic groups. The index ranges from 0 (no diversity) to 100 (complete diversity).The pop-up is configured to include the following information for each geography level:Diversity Index (Expressed as a percentage in the pop-up)Population counts by race and ethnicity

The map shows demographic data for Dallas residents in relation to historic districts and buildings.This map is consumed in the following web application.

This feature layer is designed to collect and analyze survey responses related to public feedback on the overall perception of the Dallas Racial Equity StoryMap. The goal is to better understand how the StoryMap is being received by community members and stakeholders, and to identify opportunities for improvement, increased engagement, and more effective storytelling around racial equity in Dallas.Link to the Dallas Racial Equity StoryMap: https://dallasgis.maps.arcgis.com/home/item.html?id=f8ad4376d6d14ff0b3566fcc3ce0ff9cLink to Spanish version of the Dallas Racial Equity Storymap: https://dallasgis.maps.arcgis.com/home/item.html?id=d01bbf9ce54b4284a312362cca96fc0eLink to the Survey Form: https://dallasgis.maps.arcgis.com/home/item.html?id=c658d648b015484ab1c6128d9654b093To explore the different components of the Dallas Racial Equity Story initiative, simply click on any of the links provided above. Each link will direct you to a specific Racial Equity Story product, offering a unique perspective or area of focus within the broader narrative.

US Census Bureau 2020 Tracts with population change from 2010 to 2020, by race and ethnicity, plus household unit count changes. Block level reference data from 2010 and 2020 also provided for researching.

The map displays City of Dallas 2020 Not Hispanic population as a percentage by council district. The pop-ups have a detailed racial breakdown for 2020 as well as the graphic depicting the change in racial breakdown from 2010 to 2020.

[Disclaimer: This application is a DRAFT and is still under development. Your feedback is welcome.]Data Use: This map illustrates the racial and ethnic composition of different neighborhoods throughout Dallas. It uses demographic data to show the concentration of Historically Disadvantaged Communities (HDC), highlighting areas with diverse populations and those with higher percentages of specific racial and ethnic groups. This information is crucial for understanding community dynamics, revealing patterns of segregation, integration, and diversity within the city. Stakeholders can use this dashboard to develop targeted policies that promote racial equity, improve community relations, and ensure fair access to resources and opportunities for all residents.Data Source: U.S. Census Bureau, "ACS Demographic and Housing Estimates," American Community Survey, ACS 5-Year Estimates Data Profiles, Table DP05, 2022.Variables:DP05_0073PE: Percent Hispanic or Latino (of any race) %DP05_0079PE: White %DP05_0080PE: Black or African American %DP05_0081PE: American Indian and Alaskan Native %DP05_0082PE: Asian %DP05_0083PE: Native Hawaiian and Other Pacific Islander %DP05_0084PE: Some other race %DP05_0085PE: Two or more races %Race_Rank: Race and Ethnicity RankRank Scoring Process: Census tracts were grouped into quintiles based on the percentage of People of Color, calculated by adding DP05_0073PE, DP05_0080PE, and DP05_0081PE.The scoring process categorizes each tract as follows:Score of 1: 0.8% - 23% (lowest percentage of People of Color)Score of 2: 23.2% - 50.2%Score of 3: 50.2% - 77.2%Score of 4: 78.2% - 90%Score of 5: 90.1% - 99.7% (highest percentage of People of Color)Year: 2022Provider: U.S. Census Bureau