Best Management Practices (BMPs) are structural controls used to manage stormwater runoff. Examples include green roofs, rain gardens, and cisterns. BMPs reduce the effects of stormwater pollution and help restore the District’s waterbodies. The District’s stormwater regulations require that large construction or renovation projects install BMPs to manage stormwater runoff once construction is complete. The District also provides financial incentives for properties that install BMPs voluntarily. This dataset includes BMPs that were installed to comply with the District’s stormwater regulations, to participate in the Stormwater Retention Credit (SRC) trading program, to participate in the RiverSmart Homes program, to participate in the Green Roof Rebate program, or to participate in the RiverSmart Rewards stormwater fee discount program. These BMPs have been reviewed by the Department of Energy and Environment (DOEE) as part of these programs. This dataset is updated weekly with data from the District’s Stormwater Database.

Historical Data on the Buildings of Washington DC, collected over 15 years by Brian Kraft, with support from JMT Inc., for the DC Historic Preservation Office. Most of the data comes from the building permits issued by the city, especially from 1877 to 1949. Sources are named for all buildings and other sources include real estate maps, tax assessments, newspaper reports, and the DC Office of Tax and Revenue, mostly for buildings after 1949. Work on this data is ongoing but we feel that this will be a valuable and enjoyable research tool as it is.

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.

District of Columbia boundary. The dataset is a polygon representing the District of Columbia boundary, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. The boundary was identified from public records and heads-up digitized using a combination of the 1995 orthophotographs, planimetric roads features, and the USGS digital raster graphic quad sheets, and 1999 planimetrics for the Potomac River boundary.Also see the District's Boundary Stone markers.

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.

District of Columbia quadrants. The dataset contains locations and attributes of the District of Columbia quadrants, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies.The DCQuadPly was updated in January 2022 in the three following areas: 1) South Capitol Street has had major changes in its location due to the Frederick Douglass Bridge Project. These changes include the actual South Capitol Street Bridge and the adjacent new ovals to the north and south. The new quadrant boundary generally runs along the median of South Capitol Street. There is a small triangular area that is south of the north oval and also west of the South Capitol Street bridge which is in fact part of the Southeast quadrant. 2) boundary was redrawn around 1 HAWAII AVENUE NE so that the address is located in the NE quadrant. 3) Small adjustment of the boundary by Kansas Avenue NW.

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.

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.

Street Light Assets. The dataset contains locations and attributes of street lights provided by the District Department of Transportation (DDOT).

This data is used for the planning and management of Washington, DC by local government agencies.

The dataset contains locations and attributes of Virginia Railway Express (VRE) Routes, created as part of the DC Geographic Information System (DC GIS) for the Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. The data is extracted from NAVTEQ RAILRDS.

This dataset includes all identifiable DCPS public elementary schools, middle schools, education campuses, high schools, and special education schools, as well as learning centers. This dataset does not include private or charter schools. School locations were identified from a database from the District of Columbia Public Schools, Office of Facilities Management.

Building structures include parking garages, ruins, monuments, and buildings under construction along with residential, commercial, industrial, apartment, townhouses, duplexes, etc. Buildings equal to or larger than 9.29 square meters (100 square feet) are captured. Buildings are delineated around the roof line showing the building "footprint." Roof breaks and rooflines, such as between individual residences in row houses or separate spaces in office structures, are captured to partition building footprints. This includes capturing all sheds, garages, or other non-addressable buildings over 100 square feet throughout the city. Atriums, courtyards, and other “holes” in buildings created as part of demarcating the building outline are not part of the building capture. This includes construction trailers greater than 100 square feet. Memorials are delineated around a roof line showing the building "footprint."Bleachers are delineated around the base of connected sets of bleachers. Parking Garages are delineated at the perimeter of the parking garage including ramps. Parking garages sharing a common boundary with linear features must have the common segment captured once. A parking garage is only attributed as such if there is rooftop parking. Not all rooftop parking is a parking garage, however. There are structures that only have rooftop parking but serve as a business. Those are captured as buildings. Fountains are delineated around the base of fountain structures.

The Office of the Chief Technology Officer (OCTO), within the District of Columbia (DC) government, manages the District’s data program. This includes open data, data curation, data integration, data storage, data science, data application development and Geographic Information Systems (GIS). The open data handbook explains the process and steps OCTO undertakes when an agency submits an open dataset for publication. The handbook outlines dataset rules, documentation requirements, and policies to make data consistent and standardized. This applies to any dataset submitted for publication on the Open Data DC portal that is classified as Level 0: Open as defined in the District’s Data Policy. For previous versions of the handbook visit https://opendata.dc.gov/pages/handbook.

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

This layer contains points representing locations for charter schools.

This site was retired on February 22, 2022 and replaced with https://opdatahub.dc.gov. The DC Office of Planning (OP) State Data Center Data Visualization Portal is an online, interactive information service that provides people with reliable, up-to-date, data on the demographic trends of District of Columbia.

This is an application based on open data and transparency of information for the public. The user-friendly Data Visualization Portal makes popular demographic charts and data much more accessible for residents, researchers, and other stakeholders.

The data provided by the dashboards on the portal cover a variety of city-wide and ward level indicators ranging from population size to poverty rates, and can be broken down by year, age, race or gender. This data will help citizens, government agencies, and community leaders get the analysis they need to support strategic planning, policy-making, and business development across the District.

Crashes on the roadway blocks network of Washington, DC maintained by the District Department of Transportation (DDOT). In addition to locations, a related table consisting of crash details is available for each crash. This table provides some anonymized information about each of the persons involved in the crash (linked by CRASHID). These crash data are derived from the Metropolitan Police Department's (MPD) crash data management system (COBALT) and represent DDOT's attempt to summarize some of the most requested elements of the crash data. Further, DDOT has attempted to enhance this summary by locating each crash location along the DDOT roadway block line, providing a number of location references for each crash. In the event that location data is missing or incomplete for a crash, it is unable to be published within this dataset. Location points with some basic summary statistics,The DC ward the crash occurredSummary totals for: injuries (minor, major, fatal) by type (pedestrian, bicycle, car), mode of travel involved (pedestrian, bicycle, car), impaired participants (pedestrian, bicyclist, car passengers)If speeding was involvedNearest intersecting street nameDistance from nearest intersectionCardinal direction from the intersectionRead more at https://ddotwiki.atlassian.net/wiki/spaces/GIS0225/pages/2053603429/Crash+Data. Questions on the contents of these layers should be emailed to Metropolitan Police Department or the DDOT Traffic Safety Division. Questions regarding the Open Data DC can be sent to @OpenDataDC

Graph and download economic data for Resident Population in the District of Columbia (DCPOP) from 1900 to 2024 about DC, residents, population, and USA.

The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.

The data set is from source "Peak bloom dates and festival dates were provided by the National Park Service and organizers of the National Cherry Blossom Festival. "