37 datasets found
  1. d

    Neighborhood Clusters

    • opendata.dc.gov
    • catalog.data.gov
    • +1more
    Updated Jul 28, 2021
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    City of Washington, DC (2021). Neighborhood Clusters [Dataset]. https://opendata.dc.gov/datasets/neighborhood-clusters
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    Dataset updated
    Jul 28, 2021
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This data set describes Neighborhood Clusters that have been used for community planning and related purposes in the District of Columbia for many years. It does not represent boundaries of District of Columbia neighborhoods. Cluster boundaries were established in the early 2000s based on the professional judgment of the staff of the Office of Planning as reasonably descriptive units of the City for planning purposes. Once created, these boundaries have been maintained unchanged to facilitate comparisons over time, and have been used by many city agencies and outside analysts for this purpose. (The exception is that 7 “additional” areas were added to fill the gaps in the original dataset, which omitted areas without significant neighborhood character such as Rock Creek Park, the National Mall, and the Naval Observatory.) The District of Columbia does not have official neighborhood boundaries. The Office of Planning provides a separate data layer containing Neighborhood Labels that it uses to place neighborhood names on its maps. No formal set of standards describes which neighborhoods are included in that dataset.Whereas neighborhood boundaries can be subjective and fluid over time, these Neighborhood Clusters represent a stable set of boundaries that can be used to describe conditions within the District of Columbia over time.

  2. d

    Neighborhood Labels

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated Feb 5, 2025
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    D.C. Office of the Chief Technology Officer (2025). Neighborhood Labels [Dataset]. https://catalog.data.gov/dataset/neighborhood-labels
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    This dataset was created by the DC Office of Planning and provides a simplified representation of the neighborhoods of the District of Columbia. These boundaries are used by the Office of Planning to determine appropriate locations for placement of neighborhood names on maps. They do not reflect detailed boundary information, do not necessarily include all commonly-used neighborhood designations, do not match planimetric centerlines, and do not necessarily match Neighborhood Cluster boundaries. There is no formal set of standards that describes which neighborhoods are represented or where boundaries are placed. These informal boundaries are not appropriate for display, calculation, or reporting. Their only appropriate use is to guide the placement of text labels for DC's neighborhoods. This is an informal product used for internal mapping purposes only. It should be considered draft, will be subject to change on an irregular basis, and is not intended for publication.

  3. d

    Strategic Neighborhood Investment Program Areas

    • opendata.dc.gov
    • catalog.data.gov
    • +4more
    Updated Sep 15, 2002
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    City of Washington, DC (2002). Strategic Neighborhood Investment Program Areas [Dataset]. https://opendata.dc.gov/datasets/79cbb40ab593414e860beab78adb9952
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    Dataset updated
    Sep 15, 2002
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Strategic Neighborhood Investment Program (SNIP) - A targeted investment policy wherein priority District areas receive a series of comprehensive public actions or funds to complement and/or catalyze private sector investment. These are not neighborhood boundaries. The Government of the District of Columbia does not provide official neighborhood boundaries.

  4. d

    DC Health Planning Neighborhoods to Census Tracts

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated Feb 4, 2025
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    D.C. Office of the Chief Technology Officer (2025). DC Health Planning Neighborhoods to Census Tracts [Dataset]. https://catalog.data.gov/dataset/dc-health-planning-neighborhoods-to-census-tracts-24ba6
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Area covered
    Washington
    Description

    This dataset contains polygons that represent the boundaries of statistical neighborhoods as defined by the DC Department of Health (DC Health). DC Health delineates statistical neighborhoods to facilitate small-area analyses and visualization of health, economic, social, and other indicators to display and uncover disparate outcomes among populations across the city. The neighborhoods are also used to determine eligibility for some health services programs and support research by various entities within and outside of government. DC Health Planning Neighborhood boundaries follow census tract 2010 lines defined by the US Census Bureau. Each neighborhood is a group of between one and seven different, contiguous census tracts. This allows for easier comparison to Census data and calculation of rates per population (including estimates from the American Community Survey and Annual Population Estimates). These do not reflect precise neighborhood locations and do not necessarily include all commonly-used neighborhood designations. There is no formal set of standards that describes which neighborhoods are included in this dataset. Note that the District of Columbia does not have official neighborhood boundaries. Origin of boundaries: each neighborhood is a group of between one and seven different, contiguous census tracts. They were originally determined in 2015 as part of an analytical research project with technical assistance from the Centers for Disease Control and Prevention (CDC) and the Council for State and Territorial Epidemiologists (CSTE) to define small area estimates of life expectancy. Census tracts were grouped roughly following the Office of Planning Neighborhood Cluster boundaries, where possible, and were made just large enough to achieve standard errors of less than 2 for each neighborhood's calculation of life expectancy. The resulting neighborhoods were used in the DC Health Equity Report (2018) with updated names. HPNs were modified slightly in 2019, incorporating one census tract that was consistently suppressed due to low numbers into a neighboring HPN (Lincoln Park incorporated into Capitol Hill). Demographic information were analyzed to identify the bordering group with the most similarities to the single census tract. A second change split a neighborhood (GWU/National Mall) into two to facilitate separate analysis.

  5. d

    DC Office of Tax and Revenue Real Property Assessment Map App

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Jul 30, 2025
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    Office of Tax and Revenue (2025). DC Office of Tax and Revenue Real Property Assessment Map App [Dataset]. https://catalog.data.gov/dataset/dc-office-of-tax-and-revenue-real-property-assessment-map-app
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    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Office of Tax and Revenue
    Description

    The DC Office of the Chief Financial Officer (OCFO), Office of Tax and Revenue (OTR), Real Property Tax Administration (RPTA) values all real property in the District of Columbia. This public interactive Real Property Assessment map application accompanies the OCFO MyTax DC and OTR websites. Use this mapping application to search for and view all real property, assessment valuation data, assessment neighborhood areas and sub-areas, detailed assessment information, and many real property valuation reports by various political and administrative areas. View by other administrative areas such as DC Wards, ANCs, DC Squares, and by specific real property characteristics such as property type and/or sale date. If you have questions, comments, or suggestions regarding the Real Property Assessment Map, contact the Real Property Assessment Division GIS Program at (202) 442-6484 or maps.title@dc.gov.

  6. v

    DC OTR: Real Property Assessment Districts, DCRA Historic Subdivision...

    • anrgeodata.vermont.gov
    Updated Jan 9, 2019
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    City of Washington, DC (2019). DC OTR: Real Property Assessment Districts, DCRA Historic Subdivision Boundaries, and Common Neighborhood Vicinity Labels [Dataset]. https://anrgeodata.vermont.gov/maps/58e9eb858ebf4653aa70cbbbb473d804
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    Dataset updated
    Jan 9, 2019
    Dataset authored and provided by
    City of Washington, DC
    Area covered
    Description

    The main purposes of this online map are 1. to demonstrate the Web-Based Geographic Information System (GIS) in the District of Columbia Office of Tax and Revenue (OTR) Real Property Tax Administration (RPTA), and 2. to share detailed real property data and information to real property owners, the public, and other government entities. The rich map and interactive application include relevant real property valuation contributing map layers, links to original source agencies, and a variety of search, query, and analysis options to meet the needs of a wide user base. The location and links to the original DC Boundary Stones add a fun, historical,and educational component.The Office of the Chief Financial Officer, DC Office of Tax and Revenue (OTR), Real Property Assessment Division values all real property in the District of Columbia. The public interactive online DC Office of Tax and Revenue Real Property Assessment Lot Map Search application accompanies the OTR Tax Payer Service Center and may be used to search for and view all real property, related assessment areas, assessment data, and detailed assessment information.

  7. d

    Data from: Parks and Recreation Areas

    • datasets.ai
    • adoptablock.dc.gov
    • +4more
    0, 15, 21, 25, 3, 57 +1
    Updated Apr 30, 2024
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    District of Columbia (2024). Parks and Recreation Areas [Dataset]. https://datasets.ai/datasets/parks-and-recreation-areas-ecd39
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    21, 25, 3, 57, 15, 8, 0Available download formats
    Dataset updated
    Apr 30, 2024
    Dataset authored and provided by
    District of Columbia
    Description

    Department of Parks and Recreation (DPR) properties identified as polygons. The dataset contains general locations and amenity information about the properties under the jurisdiction of the DC Department of Parks and Recreation. It has been 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. This data is provided by the Department of Parks and Recreation.

  8. d

    Percent Residents with Access to Green Space Map

    • data.ore.dc.gov
    Updated Aug 21, 2024
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    City of Washington, DC (2024). Percent Residents with Access to Green Space Map [Dataset]. https://data.ore.dc.gov/datasets/percent-residents-with-access-to-green-space-map
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Data Source: Open Data DC and American Community Survey (ACS) 5-Year Estimates

    Why This Matters

    Urban green spaces provide an array of health benefits, including protection from extreme heat, reducing stress and anxiety, and offering a place to stay physically active.

    Parks can serve as a social gathering space in neighborhoods, offering a location for residents to host events, play sports, and connect with their neighbors. This benefit can be particularly beneficial for elderly individuals as they are more likely to suffer from social isolation.

    While the District is considered a national leader in park equity today, this has not always been the case. Until 1954, many DC parks and playgrounds were segregated, either prohibiting their use by Black residents or only allowing them to be used during certain hours.

    The District Response

    The District consistently ranks well nationally for park equity, receiving a higher Trust for Public Land ParkScore®rating than any other city for four consecutive years (2021-2024). Unlike most cities in the US, District residents have access to a similar amount of park space regardless of their neighborhood’s racial demographics.

    The District Department of Transportation’s Urban Forestry Division is on track to reach a goal of tree canopy coverage for 40% of the District, promoting better air quality and cooling our neighborhoods. Residents can also request the planting of a new street tree near them.

    The Department of Parks and Recreation and the Department of General Services are modernizing and renovating parks across the District to improve park services, safety, and utilization.

  9. d

    Crime Incidents in 2023

    • opendata.dc.gov
    • catalog.data.gov
    • +3more
    Updated Jan 1, 2023
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    City of Washington, DC (2023). Crime Incidents in 2023 [Dataset]. https://opendata.dc.gov/datasets/DCGIS::crime-incidents-in-2023
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    Dataset updated
    Jan 1, 2023
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

  10. Washington D.C. housing market 2024

    • kaggle.com
    zip
    Updated Jun 5, 2024
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    Natasha Lekh (2024). Washington D.C. housing market 2024 [Dataset]. https://www.kaggle.com/datasets/datadetective08/washington-d-c-housing-market-2024
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    zip(147382065 bytes)Available download formats
    Dataset updated
    Jun 5, 2024
    Authors
    Natasha Lekh
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Washington
    Description

    These datasets contain comprehensive information on current real estate listings in Washington, D.C., obtained from Zillow, and offer a detailed overview of the Washington, D.C. housing market as of 5th June 2024.

    The data was extracted from Zillow using a combination of two scraping tools from Apify: Zillow ZIP Code Scraper 🔗 https://apify.com/maxcopell/zillow-zip-search and Zillow Details Scraper 🔗 https://apify.com/maxcopell/zillow-detail-scraper.

    The full dataset includes all details for each listing for sale, such as:

    • 📍 Complete address, city, state, zip code, latitude/longitude coordinates
    • 🏡 Property type (single family, condo, apartment, etc.)
    • 💵 Listing price
    • 🛏️ Number of bedrooms and bathrooms
    • 📐 Square footage
    • 🌳 Lot size in acres (if applicable)
    • 🏗️ Year of construction
    • 🏘️ HOA fees (if applicable)
    • 💸 Property tax history
    • ✨ Amenities such as rooftop terraces, concierge services, etc.
    • 🏫 Nearby schools and their GreatSchools ratings
    • 🧑‍💼 Property and listing agents, brokers, and their contact information
    • 🕒 Availability for tours and open houses
    • 🖼️ Links to listing photos

    With over 5,000 current listings, this dataset is perfect for in-depth analysis of the Washington, D.C. housing market and the Washington, D.C. real estate scene. Potential applications include:

    • Comparing listing prices and price per square foot across various neighborhoods and property types
    • Mapping listings to visualize the spatial distribution of available inventory
    • Analyzing the age of available housing stock using year-of-construction data
    • Assessing typical HOA fees and property taxes for listings
    • Identifying listings with desirable amenities
    • Evaluating school quality near listings using GreatSchools ratings
    • Contacting listing agents programmatically using the provided agent information

    Whether you're a real estate professional, market analyst, data scientist, or simply interested in the Washington, D.C., housing market, this dataset offers a wealth of information to explore. You can begin investigating and discovering insights into Washington, D.C. real estate today.

  11. d

    Public Housing Areas

    • opendata.dc.gov
    • catalog.data.gov
    • +1more
    Updated Mar 21, 2014
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    City of Washington, DC (2014). Public Housing Areas [Dataset]. https://opendata.dc.gov/datasets/public-housing-areas
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    Dataset updated
    Mar 21, 2014
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The DC Housing Authority provides quality affordable housing to extremely low- through moderate-income households, fosters sustainable communities, and cultivates opportunities for residents to improve their lives. The following is a subset of the District Government Land (Owned, Operated, and or managed) dataset that include buildings with a "public housing" use type.

  12. a

    Neighborhood Prosperity Fund

    • hub.arcgis.com
    • opendata.dc.gov
    • +4more
    Updated Jan 25, 2019
    + more versions
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    City of Washington, DC (2019). Neighborhood Prosperity Fund [Dataset]. https://hub.arcgis.com/maps/DCGIS::neighborhood-prosperity-fund
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    Dataset updated
    Jan 25, 2019
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Census tracts eligible for the Neighborhood Prosperity Fund (NPF), pursuant to DC Official Code §2-1225.21.

  13. d

    Storm Surge Risk Areas

    • datasets.ai
    • opendata.dc.gov
    • +4more
    0, 15, 21, 25, 3, 57 +1
    Updated Apr 30, 2024
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    District of Columbia (2024). Storm Surge Risk Areas [Dataset]. https://datasets.ai/datasets/storm-surge-risk-areas
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    25, 21, 57, 15, 3, 8, 0Available download formats
    Dataset updated
    Apr 30, 2024
    Dataset authored and provided by
    District of Columbia
    Description

    This data reflects areas with a risk of storm tide flooding from hurricanes, based on potential storm tide heights calculated by the National Weather Service's SLOSH (Sea, Lake, and Overland Surge from Hurricanes) Model. The SLOSH Basin used for mapping was Chesapeake Bay (CP5), released in 2014. This data was prepared by the U.S. Army Corps of Engineers, Baltimore District, Planning Division in January 2016. SLOSH storm tide elevations used for this mapping are based on the Maximum of Maximums (MOM) SLOSH output dataset. The MOM output elevations represent the highest calculated storm tide values based on thousands of SLOSH simulations using different combinations of approach direction, forward speed, landfall point, astronomical tide, and intensity (Category 1 through Category 4). Categories 1 through 4 refer to the Saffir-Simpson scale of hurricane intensity. This map does not reflect the expected storm tide flooding for every hurricane, or for any one particular type of hurricane. This map shows the overall footprint of the area that has some risk of storm tide flooding from hurricanes, based on the MOM output dataset.

  14. d

    Percent Living in Low Access Grocery Store Areas Map

    • data.ore.dc.gov
    Updated Sep 11, 2024
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    City of Washington, DC (2024). Percent Living in Low Access Grocery Store Areas Map [Dataset]. https://data.ore.dc.gov/datasets/percent-living-in-low-access-grocery-store-areas-map
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    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Data Source: Open Data DC and American Community Survey (ACS) 1-Year Estimates.

    Why This Matters

    Living further from full-service grocery stores can force residents to shop for food at locations that are more expensive or have fewer healthy options, leading to worse health outcomes for conditions such as obesity or diabetes.

    Beyond basic nutrition, food is an integral part of culture. Having access to a wide array of culturally relevant foods has been shown to improve well-being among Black, Indigenous, and people of color communities.

    Across the United States, predominantly-Black communities have fewer supermarkets than predominantly white and Hispanic communities. A pattern of disinvestment limits the availability of fresh and healthy foods.

    The District Response

    The Food Access Fund (FAF) Grant increases equitable access to fresh, healthy, and affordable food by supporting the opening of new grocery stores in areas with low food access, with priority given to locations in Ward 7 or Ward 8. The Produce Plus Program provides financial support for residents with low access to fresh foods to spend at local farmers markets.

    The SUN Bucks program provides additional grocery-buying benefits to income-eligible families when schools are closed for the summer and children no longer have access to free or reduced-cost meals at school.

    The DC Food Policy Council convenes six working groups, including the Food Access & Equity working group that aims to communicate and collaborate with residents to increase awareness of District food benefit programs and healthy food retail.

  15. d

    Central Employment Areas

    • opendata.dc.gov
    • s.cnmilf.com
    • +4more
    Updated Sep 1, 2021
    + more versions
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    City of Washington, DC (2021). Central Employment Areas [Dataset]. https://opendata.dc.gov/datasets/07e3b785872a4e4b89b183c171b2f5bc
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    Dataset updated
    Sep 1, 2021
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The dataset includes polygons representing the location and attributes of Central Employment Area (CEA). The CEA is the core area of the District of Columbia where the greatest concentration of employment in the city and region is encouraged, 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. Jurisdictions were identified from public records (map and written description created by the National Capital Planning Commission) and heads-up digitized from the 1995 orthophotographs.

  16. d

    Police Service Area Details

    • datasets.ai
    • s.cnmilf.com
    • +2more
    21, 3
    Updated Apr 30, 2024
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    District of Columbia (2024). Police Service Area Details [Dataset]. https://datasets.ai/datasets/police-service-area-details
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    21, 3Available download formats
    Dataset updated
    Apr 30, 2024
    Dataset authored and provided by
    District of Columbia
    Description
    A web map used for the Police Service Area Details web application.

    In addition to Police Districts, every resident lives in a Police Service Area (PSA), and every PSA has a team of police officers and officials assigned to it. Residents should get to know their PSA team members and learn how to work with them to fight crime and disorder in their neighborhoods. Each police district has between seven and nine PSAs. There are a total of 56 PSAs in the District of Columbia.

    Printable PDF versions of each district map are available on the district pages. Residents and visitors may also access the PSA Finder to easily locate a PSA and other resources within a geographic area. Just enter an address or place name and click the magnifying glass to search, or just click on the map. The results will provide the geopolitical and public safety information for the address; it will also display a map of the nearest police station(s).

    Each Police Service Area generally holds meetings once a month. To learn more about the meeting time and location in your PSA, please contact your Community Outreach Coordinator. To reach a coordinator, choose your police district from the list below. The coordinators are included as part of each district's Roster.

    Visit https://mpdc.dc.gov for more information.

  17. d

    DC Subwatersheds

    • opendata.dc.gov
    • catalog.data.gov
    • +3more
    Updated Feb 8, 2019
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    City of Washington, DC (2019). DC Subwatersheds [Dataset]. https://opendata.dc.gov/datasets/364e73a18cb242fba7f0bc3bb76fe754
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    Dataset updated
    Feb 8, 2019
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer depicts the conglomeration of the 4 layers used for TMDLs. It contains TMDL Subsheds, Direct Drain Overland (not piped), Direct Drain Sewersheds (piped), and Combined Sewer (CSS) Subsheds. This layer provided the granularity needed to facilitate further analysis.

  18. TIGER/Line Shapefile, Current, County, District of Columbia, DC, All Roads

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, District of Columbia, DC, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-district-of-columbia-dc-all-roads
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    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    District of Columbia, Washington
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  19. d

    Wooded Areas 1999

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 4, 2025
    + more versions
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    D.C. Office of the Chief Technology Officer (2025). Wooded Areas 1999 [Dataset]. https://catalog.data.gov/dataset/wooded-areas-1999
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    Wooded areas captured in 1999. Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.

  20. d

    Dockless Equity Emphasis Areas

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 5, 2025
    + more versions
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    City of Washington, DC (2025). Dockless Equity Emphasis Areas [Dataset]. https://catalog.data.gov/dataset/dockless-equity-emphasis-areas
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Equity Emphasis Areas for the 2020 dockless bike and scooter permits. This map adapted the COG methodology for use in the District by weighting it to District rather than regional demographics, removed a quarter mile buffer around metro stops given that this requirement is for morning staging, and removed federal and institutional property where DDOT cannot permit vehicles to be staged. Further information on the COG methodology can be found here: https://www.mwcog.org/transportation/planning-areas/fairness-and-accessibility/environmental-justice/equity-emphasis-areas/.

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Cite
City of Washington, DC (2021). Neighborhood Clusters [Dataset]. https://opendata.dc.gov/datasets/neighborhood-clusters

Neighborhood Clusters

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Dataset updated
Jul 28, 2021
Dataset authored and provided by
City of Washington, DC
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Description

This data set describes Neighborhood Clusters that have been used for community planning and related purposes in the District of Columbia for many years. It does not represent boundaries of District of Columbia neighborhoods. Cluster boundaries were established in the early 2000s based on the professional judgment of the staff of the Office of Planning as reasonably descriptive units of the City for planning purposes. Once created, these boundaries have been maintained unchanged to facilitate comparisons over time, and have been used by many city agencies and outside analysts for this purpose. (The exception is that 7 “additional” areas were added to fill the gaps in the original dataset, which omitted areas without significant neighborhood character such as Rock Creek Park, the National Mall, and the Naval Observatory.) The District of Columbia does not have official neighborhood boundaries. The Office of Planning provides a separate data layer containing Neighborhood Labels that it uses to place neighborhood names on its maps. No formal set of standards describes which neighborhoods are included in that dataset.Whereas neighborhood boundaries can be subjective and fluid over time, these Neighborhood Clusters represent a stable set of boundaries that can be used to describe conditions within the District of Columbia over time.

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