Local government data and regulatory analysis for Washington, District of Columbia. Includes Regulatory Friction Index (RFI) measuring discourse quality.

Population, economics, health, and hospital data for Washington, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

On this site the District of Columbia government shares opportunities to explore hundreds of datasets through direct downloads, interactive applications and developer resources through APIs. Engage with the District through government open data. Apps & Maps Discover data in DC's urban landscape with these web maps & apps. Data Stories Opportunities for all learners to read how DC is using data for operations, education and encouraging civic participation. Dashboards Link today's data with yesterday and see patterns with these interactive web visualizations. Data Catalog Browse the data, download it as a file, analyze it with your tools, or build apps using our APIs.

Washington, DC is a city with a population of 695,449 and lies in the 3000-5000 (High) density category. The city has an area of 150.18 km² with a total green space of 47% and a tree coverage of 43%. The city lies in the North Temperate Zone of the world. The city has improved its Percentage of urban area covered by trees when compared to Global Average and also improved its Urban green space per capita when compared to previous year. Within North America, 86.4% of cities are ranked lower than Washington, DC. There has been a positive increase in the greenness of city as compared to previous year, out of all the changes happening 58% of them are positive.

Population, economics, health, and hospital data for Park View, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

Population, economics, health, and hospital data for Adams Morgan, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

Population, economics, health, and hospital data for Capitol Hill, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

The DC Basemap provides a reference map for the District of Columbia projected in Web Mercator. Access the ArcGIS Rest endpoint. The basemap utilizes the most current planimetric and reference data available and represents the real world with foundation map layers derived from base data collection done in 2023.The service is provided by the Office of the Chief Technology Officer.

Mayor's Order 2017-115. District of Columbia Data Policy. Originating Agency: Office of the Mayor. A comprehensive data policy for the District of Columbia government. The data created and managed by the District government are valuable assets and are independent of the information systems in which the data reside.

Data provided here are from the DC's 311 service request center. They represent all service requests such as abandoned automobiles, parking meter repair and bulk trash pickup. Requests are received by the Office of Unified Communications (OUC) through the Mayor's Call Center (311), citizens web intake at 311.dc.gov, electronic and US mail service or via other methods of communication. The Office of Unified Communications (OUC) oversees the designated call center for all 311 calls and for all District 911 calls. Please also visit the DC 311 Service Request Map which allows the public to see service requests in the last 30 days. Users can view requests by Ward within charts. Just set the area filter to select service requests. Click on a service request to view details.

Property or parcel data is a critical layer to any city. In DC's complex urban environment, this includes numerous geographies that identify federal government lands, reservations, District lands, personal property and so much more.

Population, economics, health, and hospital data for Columbia Heights, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: Census Tracts. Current Vintage: 2019-2023. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. 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. Boundaries come from the US Census TIGER geodatabases. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

These data were prepared in conjunction with a project using Bureau of Labor Statistics data (not provided with this collection) and the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program data to examine the relationship between unemployment and violent crime. Three separate time-series data files were created as part of this project: a national time series (Part 1), a state time series (Part 2), and a time series of data for 12 selected cities: Baltimore, Buffalo, Chicago, Columbus, Detroit, Houston, Los Angeles, Newark, New York City, Paterson (New Jersey), and Philadelphia (Part 3). Each data file was constructed to include 82 monthly time series: 26 series containing the number of Part I (crime index) offenses known to police (excluding arson) by weapon used, 26 series of the number of offenses cleared by arrest or other exceptional means by weapon used in the offense, 26 series of the number of offenses cleared by arrest or other exceptional means for persons under 18 years of age by weapon used in the offense, a population estimate series, and three date indicator series. For the national and state data, agencies from the 50 states and Washington, DC, were included in the aggregated data file if they reported at least one month of information during the year. In addition, agencies that did not report their own data (and thus had no monthly observations on crime or arrests) were included to make the aggregated population estimate as close to Census estimates as possible. For the city time series, law enforcement agencies with jurisdiction over the 12 central cities were identified and the monthly data were extracted from each UCR annual file for each of the 12 agencies. The national time-series file contains 82 time series, the state file contains 4,083 time series, and the city file contains 963 time series, each with 228 monthly observations per time series. The unit of analysis is the month of observation. Monthly crime and clearance totals are provided for homicide, negligent manslaughter, total rape, forcible rape, attempted forcible rape, total robbery, firearm robbery, knife/cutting instrument robbery, other dangerous weapon robbery, strong-arm robbery, total assault, firearm assault, knife/cutting instrument assault, other dangerous weapon assault, simple nonaggravated assault, assaults with hands/fists/feet, total burglary, burglary with forcible entry, unlawful entry-no force, attempted forcible entry, larceny-theft, motor vehicle theft, auto theft, truck and bus theft, other vehicle theft, and grand total of all actual offenses.

Population, economics, health, and hospital data for Dupont Circle, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

These data sets represent 23 geographic 5-minute indexes for the counties of Maryland, one 2 1/2-minute index for Washington D.C., and 1-mile square index for Baltimore City. There are 25 vector polygon data sets covered by this metadata report.

Data provided here are from the DC's 311 service request center. They represent all service requests such as abandoned automobiles, parking meter repair and bulk trash pickup. Requests are received by the Office of Unified Communications (OUC) through the Mayor's Call Center (311), citizens web intake at 311.dc.gov, electronic and US mail service or via other methods of communication. The Office of Unified Communications (OUC) oversees the designated call center for all 311 calls and for all District 911 calls. Please also visit the DC 311 Service Request Map which allows the public to see service requests in the last 30 days. Users can view requests by Ward within charts. Just set the area filter to select service requests. Click on a service request to view details.

Population, economics, health, and hospital data for Foggy Bottom, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

Population, economics, health, and hospital data for Pleasant Plains, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

Population, economics, health, and hospital data for Georgetown, DC. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.