About this dataset

Context

The dataset tabulates the Washington population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Washington.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Washington, DC Population Breakdown by Race
• Washington, DC Non-Hispanic Population Breakdown by Race
• Washington, DC Hispanic or Latino Population Distribution by Their Ancestries

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/.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Washington. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2012 and 2022, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Washington, the median household income for the households where the householder is White increased by $10,137(7.28%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $139,221 in 2012 and $149,358 in 2022.
• Black or African American: In Washington, the median household income for the households where the householder is Black or African American increased by $10,762(21.47%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $50,129 in 2012 and $60,891 in 2022.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/washington-dc-median-household-income-by-race-trends.jpeg" alt="Washington, DC median household income trends across races (2012-2022, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

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

In 2023, **** percent of residents of the District of Columbia were white. A further **** percent of the population were Black or African American, and ** percent of D.C. residents were Hispanic or Latino in that same year.

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

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, access Improvements to the 2020 Census Race and Hispanic Origin Question Designs, Data Processing, and Coding Procedures..Data users may observe implausible and improbable data within this product and compared with other 2020 Census data products. For example, it is possible for a detailed group to have a larger count in a tract than in its corresponding county. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Aggregating data, such as geographies and sex by age data, diminishes accuracy and increases the likelihood of inconsistent and improbable results. For guidance on creating custom aggregations from Detailed DHC-A data, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Counts showing an "X" are suppressed for one of two reasons: (1) the count was negative or (2) it is an alone count larger than its equivalent alone or in any combination count. If the suppressed count is an alone count, data users should use the equivalent alone in any combination count, if it is available..Table T01001 provides population counts for racial and ethnic groups at the nation and state levels. For county, tract, and place levels and American Indian/Alaska Native/Native Hawaiian (AIANNH) areas, Table T01001 provides population counts for racial and ethnic groups that met minimum population counts. For more information on the minimum population counts and accuracy, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Washington, D.C. and American Indian/Alaska Native/Native Hawaiian (AIANNH) areas may show data when there should not be any displayed. This is due to postprocessing to ensure counts for statistically equivalent and coterminous geographies are consistent. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Source: U.S. Census Bureau, 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, access Improvements to the 2020 Census Race and Hispanic Origin Question Designs, Data Processing, and Coding Procedures..Data users may observe implausible and improbable data within this product and compared with other 2020 Census data products. For example, it is possible for a detailed group to have a larger count in a tract than in its corresponding county. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Aggregating data, such as geographies and sex by age data, diminishes accuracy and increases the likelihood of inconsistent and improbable results. For guidance on creating custom aggregations from Detailed DHC-A data, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Counts showing an "X" are suppressed for one of two reasons: (1) the count was negative or (2) it is an alone count larger than its equivalent alone or in any combination count. If the suppressed count is an alone count, data users should use the equivalent alone in any combination count, if it is available..This racial or ethnic group has sex by age data available for 23 age categories. For more information on the minimum population counts and accuracy, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Washington, D.C. and American Indian/Alaska Native/Native Hawaiian (AIANNH) areas may show data when there should not be any displayed. This is due to postprocessing to ensure counts for statistically equivalent and coterminous geographies are consistent. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Source: U.S. Census Bureau, 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, access Improvements to the 2020 Census Race and Hispanic Origin Question Designs, Data Processing, and Coding Procedures..Data users may observe implausible and improbable data within this product and compared with other 2020 Census data products. For example, it is possible for a detailed group to have a larger count in a tract than in its corresponding county. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Aggregating data, such as geographies and sex by age data, diminishes accuracy and increases the likelihood of inconsistent and improbable results. For guidance on creating custom aggregations from Detailed DHC-A data, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Counts showing an "X" are suppressed for one of two reasons: (1) the count was negative or (2) it is an alone count larger than its equivalent alone or in any combination count. If the suppressed count is an alone count, data users should use the equivalent alone in any combination count, if it is available..This racial or ethnic group has sex by age data available for nine age categories. More detailed age data are not available due to minimum population counts. For more information on the minimum population counts and accuracy, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Washington, D.C. and American Indian/Alaska Native/Native Hawaiian (AIANNH) areas may show data when there should not be any displayed. This is due to postprocessing to ensure counts for statistically equivalent and coterminous geographies are consistent. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Technical Documentation..Source: U.S. Census Bureau, 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)

Asian and Pacific Islander populations are only available in 5-year estimates due to low numbers.

Data Source: DC Vital Records, CDC WONDER single-race single-year population estimates and American Community Survey (ACS) 1-year estimates

Why This Matters

Life expectancy reflects a community’s mortality levels and overall health. In the U.S. life expectancy has been stagnant since 2010 and declined during the COVID-19 Pandemic, primarily due to heart disease, cancer, COVID-19, and fatal drug overdoses.

Changes and disparities in life expectancy at birth reflect trends and inequities in living standards, access to quality health care, and other social and economic factors.

Nationally, life expectancy at birth is lower among Black and Native Americans compared to other racial and ethnic groups. These racial disparities are rooted in a long history of racial segregation, economic and employment discrimination, and environmental racism, among other racist practices, as noted by the National Health Atlas.

The District Response

Ensuring District residents access to various healthcare programs, such as Medicaid, DC Healthcare Alliance Program, and DC Healthy Families. For more information on these programs, click here.

Initiatives and programs to reduce disparities in housing, employment, and food insecurity through programs and services, such as Supplemental Nutrition Assistance Program (SNAP), DC Child Care Subsidy Program, and DC Infrastructure Academy.

Promoting health through free DPR fitness centers, wellness classes, the MoveDC Plan for active transportation, and health and PE classes in public schools to encourage lifelong exercise habits.

Table from the American Community Survey (ACS) B01001A-I sex by age by race - data is grouped into three age group categories for each race, under 18, 18-64 and 65 and older. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.Data on total number of people by each race alone and in combination by each census tract has been transposed to support dashboard visualizations.King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.Vintages: 2010, 2015, 2020, 2021, 2022, 2023ACS Table(s): B01001Data downloaded from: Census Bureau's Explore Census Data The 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. 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: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.

This map's colors indicate which population is larger in each area: urban (green) or rural (yellow). The map's layers contain total population counts by sex, age, and race groups for Nation, State Legislative Districts Upper, State Legislative Districts Lower, Congressional District in the United States and Puerto Rico.The U.S. Census designates each census block as part of an urban area or as rural. Larger geographies in this map such as block group, tract, county and state can therefore have a mix of urban and rural population. This map illustrates the 100% urban areas in dark green, and 100% rural areas in dark yellow. Areas with mixed urban/rural population have softer shades of green or yellow, to give a visual indication of where change may be happening. From the Census:"The Census Bureau’s urban-rural classification is a delineation of geographic areas, identifying both individual urban areas and the rural area of the nation. The Census Bureau’s urban areas represent densely developed territory, and encompass residential, commercial, and other non-residential urban land uses. The Census Bureau delineates urban areas after each decennial census by applying specified criteria to decennial census and other data. Rural encompasses all population, housing, and territory not included within an urban area.For the 2020 Census, an urban area will comprise a densely settled core of census blocks that meet minimum housing unit density and/or population density requirements. This includes adjacent territory containing non-residential urban land uses. To qualify as an urban area, the territory identified according to criteria must encompass at least 2,000 housing units or have a population of at least 5,000." SourceAbout the dataYou can use this map as is and you can also modify it to use other attributes included in its layers. This map's layers contain total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, State, County, Census Tract, Block Group boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, State, County, Census Tract, Block GroupNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This map is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, 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 and block group 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 unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

We analyzed satisfaction with care, out-of-pocket costs, and specialist access among community-dwelling Medicare Current Beneficiary Survey respondents, 2015–2019, in the 50 states and Washington, DC. For each measure, we constructed a binary indicator indicating very satisfied (vs. very dissatisfied to satisfied).;We used logistic regression to model outcomes as a function of Medicare Advantage - MA (vs. Traditional Medicare - TM) enrollment, respondent-reported race/ethnicity, and interactions of MA with race/ethnicity. Race/ethnicity was categorized as non-Hispanic Black, Hispanic, and non-Hispanic White. We adjusted for age, sex, education, income, tobacco use, chronic conditions, functional limitations, disability, and geographic factors. Racial/ethnic disparities reflect effects of structural factors that systematically disadvantage members of minoritized racial/ethnic groups. Because structural racism contributes to disparities in socioeconomic status (including income and education), we verified that our estimates did not change appreciably when we did not adjust for socioeconomic factors. ;Analyses were weighted by a composite of survey weights and propensity score weights to balance MA and TM populations within racial/ethnic groups. Separate analyses were conducted for beneficiaries with vs. without dual eligibility for full Medicaid.

We used SAS to process the data.

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, access Improvements to the 2020 Census Race and Hispanic Origin Question Designs, Data Processing, and Coding Procedures..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. As a result, data users may observe implausible and improbable data within this data product and compared with other 2020 Census data products. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Aggregating data, such as household counts and geographies, diminishes accuracy and increases the likelihood of inconsistent and improbable results. For guidance on creating custom aggregations, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Counts showing an "X" are suppressed for one of two reasons: (1) the count was negative or (2) it is an alone count larger than its equivalent alone or in any combination count. If the suppressed count is an alone count, data users should use the equivalent alone in any combination count, if it is available..This racial or ethnic group has data available for two household type categories. More detailed household type data are not available due to minimum population counts not being met. For more information on the minimum population counts and accuracy, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Washington, D.C. and American Indian/Alaska Native/Native Hawaiian (AIANNH) areas may show data when there should not be any displayed. This is due to postprocessing to ensure counts for statistically equivalent and coterminous geographies are consistent. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Source: U.S. Census Bureau, 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B)

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, access Improvements to the 2020 Census Race and Hispanic Origin Question Designs, Data Processing, and Coding Procedures..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. As a result, data users may observe implausible and improbable data within this data product and compared with other 2020 Census data products. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Aggregating data, such as household counts and geographies, diminishes accuracy and increases the likelihood of inconsistent and improbable results. For guidance on creating custom aggregations, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Counts showing an "X" are suppressed for one of two reasons: (1) the count was negative or (2) it is an alone count larger than its equivalent alone or in any combination count. If the suppressed count is an alone count, data users should use the equivalent alone in any combination count, if it is available..This racial or ethnic group has data available for three tenure categories. For more information on the minimum population counts and accuracy, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Washington, D.C. and American Indian/Alaska Native/Native Hawaiian (AIANNH) areas may show data when there should not be any displayed. This is due to postprocessing to ensure counts for statistically equivalent and coterminous geographies are consistent. For more information, access the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B) Technical Documentation..Source: U.S. Census Bureau, 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B)

This poll is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. It was fielded January 11-15, 2001, just prior to the end of the Bill Clinton presidency. Respondents were asked to give their opinions of President Bill Clinton and his handling of the economy, foreign affairs, race relations, the welfare system, crime, and the health care system. A series of questions focused on Clinton and his presidency, including whether Clinton was honest and trustworthy, possessed high personal moral and ethical standards, understood the problems of the American people, had kept the economy strong, had been a strong leader, how he would go down in history, whether the House of Representatives was right to impeach him, and whether he should be charged with a crime for giving false testimony in 1999 regarding his relationship with White House intern Monica Lewinsky. Respondents were asked which of the following issues should be given the highest priority by incoming president George W. Bush and Congress: maintaining a strong economy, protecting the Social Security system, holding down the costs of health care/health insurance, keeping the federal budget balanced, reducing the use of illegal drugs, reforming campaign finance laws, reducing political partisanship in Washington, DC, raising pay and benefits for military personnel, improving opportunities for women and minorities, cutting taxes, improving education, expanding health care coverage, helping the elderly pay for prescription drugs, protecting the environment, upgrading military systems and equipment, banning partial-birth abortions, establishing uniform standards for presidential elections, and improving race relations. A series of questions focused on the incoming Bush administration. Respondent views were sought on Bush's nomination of John Ashcroft for attorney general, Bush's nomination of Gale Norton for secretary of the interior, whether Bush was legitimately elected as president, whether Bush had a mandate to carry out his campaign promises, what type of president Bush would be, and Bush's handling of the presidential transition. Those queried were also asked whether they thought Bush would work for or against the following interest groups: labor unions, large corporations, the poor, the wealthy, the middle class, women's rights groups, the military, environmental groups, religious conservatives, Blacks or African-Americans, Hispanics, other racial and ethnic minorities, and white males. A series of questions on the economy covered whether the economy was headed toward a recession, respondent stock investments, whether stock investments were safe, whether the market would go up or down next year, whether changes in the stock market personally affected the respondent, and what type of tax cut they would prefer. Additional topics covered respondent views on homosexuals serving in the military, gun control laws, abortion, school voucher programs, the construction of a missile defense system, drilling for oil in the Arctic National Wildlife Refuge in Alaska, energy conservation vs. finding new energy sources, preferential treatment of minorities and women, tobacco companies, and mad cow disease. Background information on respondents includes age, gender, political party, political orientation, voter participation history, education, race, Hispanic origin, labor union membership, household income, and whether the respondent ate beef.

When analyzing the ratio of homelessness to state population, New York, Vermont, and Oregon had the highest rates in 2023. However, Washington, D.C. had an estimated ** homeless individuals per 10,000 people, which was significantly higher than any of the 50 states. Homeless people by race The U.S. Department of Housing and Urban Development performs homeless counts at the end of January each year, which includes people in both sheltered and unsheltered locations. The estimated number of homeless people increased to ******* in 2023 – the highest level since 2007. However, the true figure is likely to be much higher, as some individuals prefer to stay with family or friends - making it challenging to count the actual number of homeless people living in the country. In 2023, nearly half of the people experiencing homelessness were white, while the number of Black homeless people exceeded *******. How many veterans are homeless in America? The  number of homeless veterans in the United States has halved since 2010. The state of California, which is currently suffering a homeless crisis, accounted for the highest number of homeless veterans in 2022. There are many causes of homelessness among veterans of the U.S. military, including post-traumatic stress disorder (PTSD), substance abuse problems, and a lack of affordable housing.

ACS 1-year estimates are based on data collected over one calendar year, offering more current information but with a higher margin of error. ACS 5-year estimates combine five years of data, providing more reliable information but less current. Both are based on probability samples. Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%.

Data Source: American Community Survey (ACS) 1- & 5-Year Estimates

Why This Matters

According to the U.S. Bureau of Labor Statistics, the labor force participation rate is an important measure of the health of the labor market, which represents the relative amount of labor resources available for the production of goods and services.

Changes in overall labor force participation reflect demographic, policy, and employer changes, whereas gaps in labor force participation between different segments of the working-age population reveal barriers to participation.

Black, Indigenous, and people of color participate in the labor market at lower rates than white people. These inequities reflect policies and practices, such as employment discrimination, racial segregation, and mass incarceration, among other factors.

The District's Response

Investing in targeted programs that provide pathways to higher wages and jobs, such as the Advanced Technical Centers (ATC), the DC Infrastructure Academy, and Career MAP, which aim to tackle the systemic barriers that keep people out of the labor force.

Administering federal and local safety net programs such as TANF For District Families, SNAP, unemployment insurance, and Medicaid that provide temporary cash and health benefits to address economic hardship.

Partners with the Department of Employment Services in building youth from the ground up through its various programs and services, including mentorship, counseling justice system services, job training development, and employment.