18 datasets found
  1. d

    Wards from 2022

    • opendata.dc.gov
    • datasets.ai
    • +4more
    Updated Jan 6, 2022
    + more versions
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    City of Washington, DC (2022). Wards from 2022 [Dataset]. https://opendata.dc.gov/datasets/wards-from-2022
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    Dataset updated
    Jan 6, 2022
    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 polygons representing boundaries of District of Columbia 2022 election Wards. Boundaries include Census 2020 demographic data for population, age, race and housing. In the United States Census, Wards are the area name-Legal Statistical Area Description (LSAD) Term-Part Indicator for the District of Columbia.

  2. d

    ACS 5-Year Housing Characteristics DC Ward

    • catalog.data.gov
    • opdatahub.dc.gov
    • +2more
    Updated Apr 30, 2025
    + more versions
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    City of Washington, DC (2025). ACS 5-Year Housing Characteristics DC Ward [Dataset]. https://catalog.data.gov/dataset/acs-5-year-housing-characteristics-dc-ward
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    Dataset updated
    Apr 30, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    Occupancy status, Units, Rooms, Year built, Owner/Renter (Tenure), Mortgage/Rent costs, 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: 2022 Wards (State Legislative Districts [Upper Chamber])Current Vintage: 2019-2023 ACS Table(s): DP04. 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.

  3. d

    Johnson and Ward Historic Survey Map - 1862

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Feb 4, 2025
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    City of Washington, DC (2025). Johnson and Ward Historic Survey Map - 1862 [Dataset]. https://catalog.data.gov/dataset/johnson-and-ward-historic-survey-map-1862
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Johnson's Georgetown and the city of Washington historic survey : the capital of the United States of America / by Johnson and Ward.

  4. d

    ACS 5-Year Demographic Characteristics DC Ward

    • opendata.dc.gov
    • s.cnmilf.com
    • +3more
    Updated Feb 28, 2025
    + more versions
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    City of Washington, DC (2025). ACS 5-Year Demographic Characteristics DC Ward [Dataset]. https://opendata.dc.gov/datasets/058207022b5a4b57b593247178d9b42e
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    Dataset updated
    Feb 28, 2025
    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

    Age, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. 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: 2022 Wards (State Legislative Districts [Upper Chamber]). Current Vintage: 2019-2023. ACS Table(s): DP05. 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.

  5. d

    Data from: Primary Care Centers

    • catalog.data.gov
    • opendata.dc.gov
    Updated May 7, 2025
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    District of Columbia Data Team (GIS) (2025). Primary Care Centers [Dataset]. https://catalog.data.gov/dataset/primary-care-centers
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    Dataset updated
    May 7, 2025
    Dataset provided by
    District of Columbia Data Team (GIS)
    Description

    DC Health Search helps residents and visitors find primary care facilities in the District of Columbia. Users can enter an address to search for nearby facilities within a mile or up to 3 miles. Also, use this web map to search by area such as Ward and ANCs. DC Health Search should not be taken as a recommendation for services by the Department of Health. A complete list of sites that are included in DC Health Search are available on the DC Health website.

  6. d

    Urban Tree Canopy by Ward in 2020

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 4, 2025
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    D.C. Office of the Chief Technology Officer (2025). Urban Tree Canopy by Ward in 2020 [Dataset]. https://catalog.data.gov/dataset/urban-tree-canopy-by-ward-in-2020
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    These data represent Wards 2012 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Wards within the study area. UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

  7. d

    Grocery Store Locations

    • opendata.dc.gov
    • ozmarketplace.dc.gov
    • +3more
    Updated Jun 22, 2012
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    City of Washington, DC (2012). Grocery Store Locations [Dataset]. https://opendata.dc.gov/datasets/DCGIS::grocery-store-locations
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    Dataset updated
    Jun 22, 2012
    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

    To create this layer, OCTO staff used ABCA's definition of “Full-Service Grocery Stores” (https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0)– pulled from the Food System Assessment below), and using those criteria, determined locations that fulfilled the categories in section 1 of the definition.Then, staff reviewed the Office of Planning’s Food System Assessment (https://dcfoodpolicycouncilorg.files.wordpress.com/2019/06/2018-food-system-assessment-final-6.13.pdf) list in Appendix D, comparing that to the created from the ABCA definition, which led to the addition of a additional examples that meet, or come very close to, the full-service grocery store criteria. The explanation from Office of Planning regarding how the agency created their list:“To determine the number of grocery stores in the District, we analyzed existing business licenses in the Department of Consumer and Regulatory Affairs (2018) Business License Verification system (located at https://eservices.dcra.dc.gov/BBLV/Default.aspx). To distinguish grocery stores from convenience stores, we applied the Alcohol Beverage and Cannabis Administration’s (ABCA) definition of a full-service grocery store. This definition requires a store to be licensed as a grocery store, sell at least six different food categories, dedicate either 50% of the store’s total square feet or 6,000 square feet to selling food, and dedicate at least 5% of the selling area to each food category. This definition can be found at https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0. To distinguish small grocery stores from large grocery stores, we categorized large grocery stores as those 10,000 square feet or more. This analysis was conducted using data from the WDCEP’s Retail and Restaurants webpage (located at https://wdcep.com/dc-industries/retail/) and using ARCGIS Spatial Analysis tools when existing data was not available. Our final numbers differ slightly from existing reports like the DC Hunger Solutions’ Closing the Grocery Store Gap and WDCEP’s Grocery Store Opportunities Map; this difference likely comes from differences in our methodology and our exclusion of stores that have closed.”Staff also conducted a visual analysis of locations and relied on personal experience of visits to locations to determine whether they should be included in the list.

  8. d

    Zoning Lookup Layer

    • opendata.dc.gov
    • catalog.data.gov
    • +2more
    Updated Feb 19, 2025
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    City of Washington, DC (2025). Zoning Lookup Layer [Dataset]. https://opendata.dc.gov/datasets/DCGIS::zoning-lookup-layer
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    Dataset updated
    Feb 19, 2025
    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 zoning layer lookup aids the online zoning map to show zoning information by address and consolidates other important information such as Ward, ANC, SMD, Historic Districts, etc. in one reference dataset. The PREMISEADD field lists the address that is identified as the lot’s primary address for tax purposes. ADDRESS_OTHER contains a list of all other addresses on the lot, if any. Addresses may exist in a many-to-one relationship with property lots. ZONING is the primary field for zoning designation. ZONING_LABEL contains the zoning as well as any applicable IZ+ designation.

  9. d

    Crashes in DC

    • catalog.data.gov
    • datasets.ai
    • +4more
    Updated Jul 9, 2025
    + more versions
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    Metropolitan Police Department (2025). Crashes in DC [Dataset]. https://catalog.data.gov/dataset/crashes-in-dc
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Metropolitan Police Department
    Area covered
    Washington
    Description

    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

  10. d

    Find a Vote Center and Ballot Drop Box

    • opendata.dc.gov
    • catalog.data.gov
    Updated Aug 20, 2020
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    City of Washington, DC (2020). Find a Vote Center and Ballot Drop Box [Dataset]. https://opendata.dc.gov/datasets/763576faa0b1470ca0559c377cf3b497
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    Dataset updated
    Aug 20, 2020
    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

    Description

    These locations are placed at designated recreation centers, libraries, police stations, schools and other select locations. Visit https://earlyvoting.dcboe.org for more information. Mail Ballot Drop Boxes are available June 13, 2025 to July 15, 2025 until 8:00 PM. Early Vote Centers begin July 11, 2025 to July 14, 2025 from 8:30 AM to 7:00 PM. Election Day Vote Centers are open Tuesday July 15, 2025 from 7:00 AM to 8:00 PM.

    All early vote centers will operate as election day vote centers on Tuesday July 15, 2025.

  11. a

    311 City Service Requests in 2024

    • datahub-dc-dcgis.hub.arcgis.com
    • datasets.ai
    • +4more
    Updated Jan 1, 2024
    + more versions
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    City of Washington, DC (2024). 311 City Service Requests in 2024 [Dataset]. https://datahub-dc-dcgis.hub.arcgis.com/items/8f7270fa29974eb79a4a54880f24b636
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    Dataset updated
    Jan 1, 2024
    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

    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 https://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.

  12. d

    Permit Status Map Viewer (DDOT)

    • opendata.dc.gov
    Updated Feb 25, 2015
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    City of Washington, DC (2015). Permit Status Map Viewer (DDOT) [Dataset]. https://opendata.dc.gov/datasets/permit-status-map-viewer-ddot/data
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    Dataset updated
    Feb 25, 2015
    Dataset authored and provided by
    City of Washington, DC
    License

    http://dc.gov/page/terms-and-conditions-usehttp://dc.gov/page/terms-and-conditions-use

    Area covered
    Description

    The Permit Status application helps citizens locate a permit and obtain information about permitted activities in their community from their smart phone, tablet or PC. This application is used by constituents within District of Columbia, but can also be used by NGOs, contractors or internal Department staff to locate a permit by permit number.To locate a permit, simply enter an address, or Ward in the search box. Or, you can use your current location to find a permit near you. The application will then zoom to the location on the map and relevant information about the permitted or pending permits will be presented to you.

  13. d

    Master Address Repository Viewer

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Feb 5, 2025
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    City of Washington, DC (2025). Master Address Repository Viewer [Dataset]. https://catalog.data.gov/dataset/master-address-repository-viewer
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Description

    The Master Address Repository (MAR) Viewer is part of the District's location services documented in Addressing in DC. It makes locating addresses or place name as easy as possible by employing spell check and lists of street names or property aliases. Find the Ward a property falls in, or its police district, and more details.

  14. d

    Percent Living in Low Access Grocery Store Areas Map

    • data.ore.dc.gov
    Updated Sep 10, 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 10, 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. Crime Incidents in the Last 30 Days

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Jun 18, 2025
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    Metropolitan Police Department (2025). Crime Incidents in the Last 30 Days [Dataset]. https://catalog.data.gov/dataset/crime-incidents-in-the-last-30-days
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    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Metropolitan Police Department of the District of Columbiahttps://mpdc.dc.gov/
    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 https://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.

  16. d

    Mail Ballot Drop Boxes

    • opendata.dc.gov
    • catalog.data.gov
    • +1more
    Updated Sep 19, 2022
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    City of Washington, DC (2022). Mail Ballot Drop Boxes [Dataset]. https://opendata.dc.gov/maps/DCGIS::mail-ballot-drop-boxes
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    Dataset updated
    Sep 19, 2022
    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

    Mail ballot drop boxes are available at select locations beginning June 13, 2025 to July 15, 2025 at 8:00 PM.

  17. d

    Crime Incidents in 2024

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated Apr 2, 2025
    + more versions
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    Metropolitan Police Department (2025). Crime Incidents in 2024 [Dataset]. https://catalog.data.gov/dataset/crime-incidents-in-2024
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    Dataset updated
    Apr 2, 2025
    Dataset provided by
    Metropolitan Police Department
    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.

  18. d

    Places of Worship

    • opendata.dc.gov
    • catalog.data.gov
    • +3more
    Updated May 31, 2019
    + more versions
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    City of Washington, DC (2019). Places of Worship [Dataset]. https://opendata.dc.gov/datasets/places-of-worship
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    Dataset updated
    May 31, 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

    The dataset contains locations and attributes of Places of Worship. Information provided by various sources identified Places of Worship such as churches and faith based organizations. DC GIS staff geo-processed this data from a variety of sources.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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City of Washington, DC (2022). Wards from 2022 [Dataset]. https://opendata.dc.gov/datasets/wards-from-2022

Wards from 2022

Explore at:
23 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 6, 2022
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 polygons representing boundaries of District of Columbia 2022 election Wards. Boundaries include Census 2020 demographic data for population, age, race and housing. In the United States Census, Wards are the area name-Legal Statistical Area Description (LSAD) Term-Part Indicator for the District of Columbia.

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