About this dataset

Context

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

Key observations

The percent distribution of Washington population by race (across all racial categories recognized by the U.S. Census Bureau): 39.07% are white, 43.26% are Black or African American, 0.30% are American Indian and Alaska Native, 4.09% are Asian, 0.06% are Native Hawaiian and other Pacific Islander, 4.81% are some other race and 8.41% are multiracial.

Content

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

Racial categories include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

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

Key observations

The percent distribution of Washington population by race (across all racial categories recognized by the U.S. Census Bureau): 40.46% are white, 44.66% are Black or African American, 0.29% are American Indian and Alaska Native, 4.10% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 4.76% are some other race and 5.69% are multiracial.

https://i.neilsberg.com/ch/washington-dc-population-by-race.jpeg" alt="Washington population by race">

Content

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

Racial categories include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

The Markings Condition Assessment includes condition data of white lane markings for both 2019 and 2022. The data was collected in 2022 examining 2,808 miles of markings and is used to inform the Operations Administration on where to perform work activities. There are five condition classifications, ranging from 375 or greater and 100 or less. The higher number indicates a better condition.

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 2013 and 2023, 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 $24,823(17.49%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $141,951 in 2013 and $166,774 in 2023.
• Black or African American: In Washington, the median household income for the households where the householder is Black or African American increased by $7,935(15.21%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $52,154 in 2013 and $60,089 in 2023.
• 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

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.
• 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
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are 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

About this dataset

Context

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

Key observations

The percent distribution of District of Columbia population by race (across all racial categories recognized by the U.S. Census Bureau): 39.07% are white, 43.26% are Black or African American, 0.30% are American Indian and Alaska Native, 4.09% are Asian, 0.06% are Native Hawaiian and other Pacific Islander, 4.81% are some other race and 8.41% are multiracial.

Content

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

Racial categories include:

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

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

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

Historical Dataset of Learn DC PCS School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Asian Student Percentage Comparison Over Years (2022-2023),Hispanic Student Percentage Comparison Over Years (2022-2023),Black Student Percentage Comparison Over Years (2022-2023),White Student Percentage Comparison Over Years (2022-2023),Two or More Races Student Percentage Comparison Over Years (2022-2023),Comparison of Students By Grade Trends

Washington DC residents and visitors can enjoy free Wi-Fi access via outdoor and indoor hotspots throughout the District at key community anchor locations including DC public schools and public charter schools, public libraries, parks and recreation centers, senior centers, community pools, community health clinics and social service sites, public housing campuses, public safety sites, and District government administration buildings. These access points are installed and managed by the Office of the Chief Technology Officer's DC Net program: https://dcnet.dc.gov/. In addition, DC-Net has deployed public Wi-Fi throughout the Golden Triangle area just west of the White House and on the National Mall, which has enhanced the public’s experience at July 4th celebrations, presidential inaugurations, and other major events. All sites offer open and free WiFi access with select locations requiring approved indoor facility access. Examples of these are federal, administrative or public schools.

This dataset provides information about the Nixon Administration's White House Tapes. The White House Tapes contain sound recordings of President Richard Nixon's telephone calls and meetings recorded at the White House in Washington, D.C. and the Presidential retreat at Camp David, Maryland. These recordings document many of the major events and decisions of the Nixon Administration from February 16, 1971 to July 18, 1973. This dataset offers details for all 22,723 conversations, including title, time and date of recording, recording device, geographic coordinates, parent audiotape, participants, and a brief descriptive statement.

Curb Line. The dataset contains polygons representing planimetric curbs, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). This is a complete new capture from aerial photography flown in mid to Late April, completed on April 24, 2015. This is part of a comprehensive sensor collection effort to sychronize orthophotos, oblique imagery, LiDAR, and basemap layers. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water PolygonsDUE TO THE LOW ALTITUDE FLOWN TO CAPTURE THE COMPLETE IMAGERY FOR THE 2015 SENSOR FLIGHT, THERE IS INCOMPLETE AERIAL PHOTOGRAPHY COVERAGE AROUND THE WHITE HOUSE AND CAPITOL. FOR THESE AREAS, 1999 PLANIMETRIC FEATURES WERE SEEMLESSLY MERGED INTO THE 2015 DATA WHERE CURRENT. FOR AREAS OF CHANGE, A COMBINATION OF 1999 DATA AND 2013 DATA WITH SOME DIGITIZING WAS USED. SEE PROCESSING NOTES FOR MORE INFORMATION.

Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%. Margins of error are estimated at the 90% confidence level.

Data Source: Current Population Survey (CPS) Voting Supplement, 2020

Why This Matters

Voting is one of the primary ways residents can have their voices heard by the government. By voting for elected officials and on ballot initiatives, residents help decide the future of their community.

For much of our nation’s history, non-white residents were explicitly prohibited from voting or discriminated against in the voting process. It was not until the Voting Rights Act of 1965 that the Federal Government enacted voting rights protections for Black voters and voters of color.

Nationally, BIPOC citizens and especially Hispanic and Asian citizens have consistently lower voter turnout rates and voter registration rates. While local DC efforts have been taken to remove these barriers, restrictive voter ID requirements and the disenfranchisement of incarcerated and returning residents act as institutionally racist barriers to voting in many jurisdictions.

The District's Response

The DC Board of Elections has lowered the barriers to participate in local elections through online voter registration, same day registration, voting by mail, and non-ID proof of residence.

Unlike in many states, incarcerated and returning residents in D.C. never lose the right to vote. Since 2024, DC has also extended the right to vote in local elections to residents of the District who are not citizens of the U.S.

Although DC residents pay federal taxes and can vote in the presidential election, the District does not have full representation in Congress. Efforts to advocate for DC statehood aim to remedy this.

2018 DC School Report Card. STAR Framework student group scores by school and school framework. The STAR Framework measures performance for 10 different student groups with a minimum n size of 10 or more students at the school. The student groups are All Students, Students with Disabilities, Student who are At Risk, English Learners, and students who identify as the following ESSA-defined racial/ethnic groups: American Indian or Alaskan Native, Asian, Black or African American, Hispanic/Latino of any race, Native Hawaiian or Other Pacific Islander, White, and Two or more races. The Alternative School Framework includes an eleventh student group, At-Risk Students with Disabilities.Some students are included in the school- and LEA-level aggregations that will display on the DC School Report Card but are not included in calculations for the STAR Framework. These students are included in the “All Report Card Students” student group to distinguish from the “All Students” group used for the STAR Framework.Supplemental:Metric scores are not reported for n-sizes less than 10; metrics that have an n-size less than 10 are not included in calculation of STAR scores and ratings.At the state level, teacher data is reported on the DC School Report Card for all schools, high-poverty schools, and low-poverty schools. The definition for high-poverty and low-poverty schools is included in DC's ESSA State Plan. At the school level, teacher data is reported for the entire school, and at the LEA-level, teacher data is reported for all schools only.On the STAR Framework, 203 schools received STAR scores and ratings based on data from the 2017-18 school year. Of those 203 schools, 2 schools closed after the completion of the 2017-18 school year (Excel Academy PCS and Washington Mathematics Science Technology PCHS). Because those two schools closed, they do not receive a School Report Card and report card metrics were not calculated for those schools.Schools with non-traditional grade configurations may be assigned multiple school frameworks as part of the STAR Framework. For example, a K-8 school would be assigned the Elementary School Framework and the Middle School Framework. Because a school may have multiple school frameworks, the total number of school framework scores across the city will be greater than the total number of schools that received a STAR score and rating.Detailed information about the metrics and calculations for the DC School Report Card and STAR Framework can be found in the 2018 DC School Report Card and STAR Framework Technical Guide (https://osse.dc.gov/publication/2018-dc-school-report-card-and-star-framework-technical-guide).

Hen egg-white lysozyme protein with GROMOS 45A4 in GROMOS (replicate 3 of 3). Initial structure obtained from the Protein Data Bank (PDB). PDB ID: 1AKI, URL: https://www.rcsb.org/structure/1AKI

U.S Appropriations are lands set aside at the time of the original founding and platting of the city for use by the U.S. Federal Government. The White House, for instance, Treasury Building, Ellipse and LaFayette Park all sit on Appropriation No. 1. D.C General Hospital is on Appropriation No.13 (with the consent of the Federal Government). Appropriations are often confused with U.S Reservations but the two terms are not interchangeable. There are 17 U.S Appropriations in Washington, D.C., all of which are located within the limits of the Original City and, by definition; there can never be any more.

Hen egg-white lysozyme protein with GROMOS 45A4 in GROMOS (replicate 1 of 3). Initial structure obtained from the Protein Data Bank (PDB). PDB ID: 1AKI, URL: https://www.rcsb.org/structure/1AKI

This data set is part of the WAISCORES project, an NSF-funded project to understand the influence of the West Antarctic ice sheet on climate and sea level change. WAISCORES researchers acquired and analyzed ice cores from the Siple Dome, in the Siple Coast region, West Antarctica.

This data set provides measurements of stable isotopes of water and deuterium excess for the Siple Dome ice cores. The shallow cores from Siple Dome were analyzed for isotopes with sub-annual temporal detail.

Recreation Areas. The dataset contains polygons representingrecreation areas, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). This is a complete new capture from aerial photography flown in mid to Late April, completed on April 24, 2015. This is part of a comprehensive sensor collection effort to sychronize orthophotos, oblique imagery, LiDAR, and basemap layers. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water PolygonsDUE TO THE LOW ALTITUDE FLOWN TO CAPTURE THE COMPLETE IMAGERY FOR THE 2015 SENSOR FLIGHT, THERE IS INCOMPLETE AERIAL PHOTOGRAPHY COVERAGE AROUND THE WHITE HOUSE AND CAPITOL. FOR THESE AREAS, 2013 PLANIMETRIC FEATURES WERE SEAMLESSLY MERGED INTO THE 2015 DATA.

Geodetic Control. The dataset contains polygons representing planimetric geodetic control, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). This is a complete new capture from aerial photography flown in mid to Late April, completed on April 24, 2015. This is part of a comprehensive sensor collection effort to sychronize orthophotos, oblique imagery, LiDAR, and basemap layers. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water PolygonsDUE TO THE LOW ALTITUDE FLOWN TO CAPTURE THE COMPLETE IMAGERY FOR THE 2015 SENSOR FLIGHT, THERE IS INCOMPLETE AERIAL PHOTOGRAPHY COVERAGE AROUND THE WHITE HOUSE AND CAPITOL. FOR THESE AREAS, 2013 PLANIMETRIC FEATURES WERE SEEMLESSLY MERGED INTO THE 2015 DATA.

Dataset provided by DC Health. The AIDS Drug Assistance Program (ADAP) operates in the District of Columbia and in all 50 states, Guam, Northern Mariana Islands, Puerto Rico, and the Virgin Islands. The program is authorized under Title II of the Ryan White Comprehensive AIDS Resources Emergency (CARE) Act and provides HIV-related prescription drugs to under-insured and uninsured individuals living with HIV/AIDS. Enrolling in the DC AIDS Drug Assistance Program is as easy as clicking on the button below.

Sidewalks and stairs. The dataset contains polygons representing planimetric sidewalks and stairs, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). This is a complete new capture from aerial photography flown in mid to Late April, completed on April 24, 2015. This is part of a comprehensive sensor collection effort to sychronize orthophotos, oblique imagery, LiDAR, and basemap layers. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water PolygonsDUE TO THE LOW ALTITUDE FLOWN TO CAPTURE THE COMPLETE IMAGERY FOR THE 2015 SENSOR FLIGHT, THERE IS INCOMPLETE AERIAL PHOTOGRAPHY COVERAGE AROUND THE WHITE HOUSE AND CAPITOL. FOR THESE AREAS, 2013 PLANIMETRIC FEATURES WERE SEEMLESSLY MERGED INTO THE 2015 DATA.