Graph and download economic data for Resident Population in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (WSHPOP) from 2000 to 2024 about DC, WV, Washington, MD, VA, residents, population, and USA.

In 2023, the population of the Washington-Arlington-Alexandria metropolitan area was about 6.3 million people. This was a slight increase from the previous year, when the population was about 6.26 million people.

Historical dataset of population level and growth rate for the Washington DC metro area from 1950 to 2025.

Graph and download economic data for Employed Persons in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (LAUMT114790000000005) from Jan 1990 to Aug 2025 about DC, Washington, WV, MD, VA, household survey, persons, employment, and USA.

The DC Metropolitan Area Drug Study (DCMADS) was
conducted in 1991, and included special analyses of homeless and
transient populations and of women delivering live births in the DC
hospitals. DCMADS was undertaken to assess the full extent of the
drug problem in one metropolitan area. The study was comprised of 16
separate studies that focused on different sub-groups, many of which
are typically not included or are under-represented in household
surveys.The DCMADS: Household and Non-household Populations
examines the prevalence of tobacco, alcohol, and drug use among
members of household and non-household populations aged 12 and older
in the District of Columbia Metropolitan Statistical Area (DC
MSA). The study also examines the characteristics of three
drug-abusing sub-groups: crack-cocaine, heroin, and needle users. The
household sample was drawn from the 1991 National Household Survey on
Drug Abuse (NHSDA). The non-household sample was drawn from the
DCMADS Institutionalized and Homeless and Transient Population
Studies. Data include demographics, needle use, needle-sharing, and
use of tobacco, alcohol, cocaine, crack, inhalants, marijuana, hallucinogens, heroin, sedatives, stimulants, psychotherapeutics (non-medical use), tranquilizers, and analgesics.This study has 1 Data Set.

Graph and download economic data for Civilian Labor Force in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (LAUMT114790000000006A) from 1990 to 2024 about DC, Washington, WV, MD, VA, civilian, labor force, labor, household survey, and USA.

As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Three reports were used with city- or water supply authority- level domestic water demand data, in addition to county level data. The 2011 Northern Virginia Regional Water Supply Plan provides detailed publicly, privately, and self supplied water use and population served for 2007 and covers most of the Virginia side of the EnviroAtlas study area. The 2011 Fauquier County Regional Water Supply Plan provides detailed publicly, privately, and self supplied water use and population served for 2007 and covers Fauquier County, Virginia. The 2010 Washington Metropolitan Area Water Supply Reliability Study, Part 1 from the Interstate Commission on the Potomac River Basin provides detailed publicly, privately, and self supplied water use and population served for 2008 by water supplier for suppliers drawing from the Potomac River. Data from these reports were weighted across publicly, privately, and self-supplied sources by population served, resulting in a single water use estimate between 25 and 204 GPD for each of the subregions in the study area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Graph and download economic data for Unemployed Persons in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (LAUMT114790000000004) from Jan 1990 to Jul 2025 about DC, Washington, WV, MD, VA, persons, household survey, unemployment, and USA.

This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 2975 block groups in Washington, DC Metro region. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Washington, DC Metro region. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset tracks the updates made on the dataset "Washington DC Metropolitan Area Drug Study Homeless and Transient Population (DC-MADST-1991)" as a repository for previous versions of the data and metadata.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in District of Columbia (S1701ACS011001) from 2012 to 2023 about DC, Washington, poverty, percent, 5-year, population, and USA.

This dataset tracks the updates made on the dataset "Washington DC Metropolitan Area Drug Study Household and Non-Household Populations (DC-MADSH-1991)" as a repository for previous versions of the data and metadata.

The National Transportation Atlas Databases 2014 (NTAD2014) is a set of nationwide geographic datasets of transportation facilities, transportation networks, associated infrastructure and other political and administrative entities. These datasets include spatial information for transportation modal networks and intermodal terminals, as well as the re¬lated attribute information for these features. This data supports research, analysis, and decision-making across all transportation modes. It is most useful at the national level, but has major applications at regional, state and local scales throughout the transportation community. The data used to compile NTAD2014 was provided by our partners within the United States Department of Transportation (USDOT) and by other agencies throughout the United States Federal Government. These contributors are the actual data stewards and are ultimately responsible for the maintenance and accuracy of their data. This data was sourced from the information contained in the Census Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The content of the MAF/TIGER database is undergoing continuous census data updates and is made available to the public through a variety of TIGER/Line® shapefiles.

This Dataset shows the location of the Bank of America branches and ATMs in the Washington DC area. I was able to geocode these locations based on street addresses provided by this website: http://www.insiderpages.com/s/DC/Washington/Banks_page277?sort=alpha&radius=50

Graph and download economic data for Unemployment Rate in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (LAUMT114790000000003A) from 1990 to 2024 about DC, Washington, WV, MD, VA, household survey, unemployment, rate, and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in District of Columbia, DC (B01002001E011001) from 2009 to 2023 about age, DC, Washington, 5-year, median, and USA.

A dataset listing Washington cities by population for 2024.

About this dataset

Context

The dataset presents the median household income across different racial categories in Washington. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Washington population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 43.26% of the total residents in Washington. Notably, the median household income for Black or African American households is $60,089. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $166,774. This reveals that, while Black or African Americans may be the most numerous in Washington, White households experience greater economic prosperity in terms of median household income.

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Washington.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Washington median household income by race. You can refer the same here

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for District of Columbia (DISCONTINUED) (NETMIGNACS011001) from 2009 to 2020 about District of Columbia (county), migration, flow, DC, Washington, Net, 5-year, population, and USA.

Disclaimer: These data are updated by the author and are not an official product of the Federal Reserve Bank of Cleveland.This project provides two sets of migration estimates for the major US metro areas. The first series measures net migration of people to and from the urban neighborhoods of the metro areas. The second series covers all neighborhoods but breaks down net migration to other regions by four region types: (1) high-cost metros, (2) affordable, large metros, (3) midsized metros, and (4) small metros and rural areas. These series were introduced in a Cleveland Fed District Data Brief entitled “Urban and Regional Migration Estimates: Will Your City Recover from the Pandemic?"The migration estimates in this project are created with data from the Federal Reserve Bank of New York/Equifax Consumer Credit Panel (CCP). The CCP is a 5 percent random sample of the credit histories maintained by Equifax. The CCP reports the census block of residence for over 10 million individuals each quarter. Each month, Equifax receives individuals’ addresses, along with reports of debt balances and payments, from creditors (mortgage lenders, credit card issuers, student loan servicers, etc.). An algorithm maintained by Equifax considers all of the addresses reported for an individual and identifies the individual’s most likely current address. Equifax anonymizes the data before they are added to the CCP, removing names, addresses, and Social Security numbers (SSNs). In lieu of mailing addresses, the census block of the address is added to the CCP. Equifax creates a unique, anonymous identifier to enable researchers to build individuals’ panels. The panel nature of the data allows us to observe when someone has migrated and is living in a census block different from the one they lived in at the end of the preceding quarter. For more details about the CCP and its use in measuring migration, see Lee and Van der Klaauw (2010) and DeWaard, Johnson and Whitaker (2019). DefinitionsMetropolitan areaThe metropolitan areas in these data are combined statistical areas. This is the most aggregate definition of metro areas, and it combines Washington DC with Baltimore, San Jose with San Francisco, Akron with Cleveland, etc. Metro areas are combinations of counties that are tightly linked by worker commutes and other economic activity. All counties outside of metropolitan areas are tracked as parts of a rural commuting zone (CZ). CZs are also groups of counties linked by commuting, but CZ definitions cover all counties, both metropolitan and non-metropolitan. High-cost metropolitan areasHigh-cost metro areas are those where the median list price for a house was more than $200 per square foot on average between April 2017 and April 2022. These areas include San Francisco-San Jose, New York, San Diego, Los Angeles, Seattle, Boston, Miami, Sacramento, Denver, Salt Lake City, Portland, and Washington-Baltimore. Other Types of RegionsMetro areas with populations above 2 million and house price averages below $200 per square foot are categorized as affordable, large metros. Metro areas with populations between 500,000 and 2 million are categorized as mid-sized metros, regardless of house prices. All remaining counties are in the small metro and rural category.To obtain a metro area's total net migration, sum the four net migration values for the the four types of regions.Urban neighborhoodCensus tracts are designated as urban if they have a population density above 7,000 people per square mile. High density neighborhoods can support walkable retail districts and high-frequency public transportation. They are more likely to have the “street life” that people associate with living in an urban rather than a suburban area. The threshold of 7,000 people per square mile was selected because it was the average density in the largest US cities in the 1930 census. Before World War II, workplaces, shopping, schools and parks had to be accessible on foot. Tracts are also designated as urban if more than half of their housing units were built before WWII and they have a population density above 2,000 people per square mile. The lower population density threshold for the pre-war neighborhoods recognizes that many urban tracts have lost population since the 1960s. While the street grids usually remain, the area also needs su