47 datasets found
  1. d

    Wards from 2022

    • catalog.data.gov
    • opendata.dc.gov
    • +5more
    Updated Feb 4, 2025
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    City of Washington, DC (2025). Wards from 2022 [Dataset]. https://catalog.data.gov/dataset/wards-from-2022
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    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
    • opendata.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

    Social Characteristics of Wards 2019-2023 5-Year ACS

    • opdatahub.dc.gov
    • opendata.dc.gov
    Updated Dec 20, 2024
    + more versions
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    City of Washington, DC (2024). Social Characteristics of Wards 2019-2023 5-Year ACS [Dataset]. https://opdatahub.dc.gov/datasets/DCGIS::social-characteristics-of-wards-2019-2023-5-year-acs
    Explore at:
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    City of Washington, DC
    Description

    Household type, Education, Disability, Language, Computer/Internet Use, 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.govGeography: 2022 Ward (State Legislative Districts [Upper Chamber])Current Vintage: 2019-2023ACS Table(s): DP02Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 2, 2025National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. 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. Click here to learn more about ACS data releases.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 2010 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 Pro.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.

  4. v

    ACS 5-Year Social Characteristics DC Ward

    • anrgeodata.vermont.gov
    • opdatahub.dc.gov
    • +6more
    Updated Feb 28, 2025
    + more versions
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    City of Washington, DC (2025). ACS 5-Year Social Characteristics DC Ward [Dataset]. https://anrgeodata.vermont.gov/datasets/DCGIS::acs-5-year-social-characteristics-dc-ward/explore
    Explore at:
    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

    Household type, Education, Disability, Language, Computer/Internet Use, 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): DP02. 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

    Wards from 1975

    • datasets.ai
    • catalog.data.gov
    • +3more
    0, 15, 21, 25, 3, 57 +1
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    District of Columbia, Wards from 1975 [Dataset]. https://datasets.ai/datasets/wards-from-1975
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    3, 0, 21, 15, 57, 8, 25Available download formats
    Dataset authored and provided by
    District of Columbia
    Description

    This dataset contains polygons representing boundaries of District of Columbia's original Home Rule election wards, established in 1975.

  6. d

    Wards from 2002 with Census 2000

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated Apr 30, 2025
    + more versions
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    D.C. Office of the Chief Technology Officer (2025). Wards from 2002 with Census 2000 [Dataset]. https://catalog.data.gov/dataset/wards-from-2002-with-census-2000
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    Dataset updated
    Apr 30, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    2002 Wards. The dataset contains polygons representing boundaries of District of Columbia 2000 election wards, 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. These political jurisdictions were identified from public records, including published maps and written legal descriptions and heads-up digitized from the 1995 orthophotographs, and updates from 2002. All DC GIS data is stored and exported in Maryland State Plane coordinates NAD 83 meters.

  7. g

    ACS 5-Year Economic Characteristics DC Ward | gimi9.com

    • gimi9.com
    Updated Apr 2, 2025
    + more versions
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    (2025). ACS 5-Year Economic Characteristics DC Ward | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_acs-5-year-economic-characteristics-dc-ward/
    Explore at:
    Dataset updated
    Apr 2, 2025
    License

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

    Area covered
    Washington
    Description

    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: 2022 Wards (State Legislative Districts [Upper Chamber]). Current Vintage: 2018-2022. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2024. 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.

  8. d

    Demographic Characteristics of DC Wards 2018-2022 5-Year ACS

    • datasets.ai
    21, 3
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    District of Columbia, Demographic Characteristics of DC Wards 2018-2022 5-Year ACS [Dataset]. https://datasets.ai/datasets/demographic-characteristics-of-dc-wards-2018-2022-5-year-acs
    Explore at:
    3, 21Available download formats
    Dataset authored and provided by
    District of Columbia
    Area covered
    Washington
    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: 2018-2022

    ACS Table(s): DP05

    Data downloaded from: Census Bureau's API for American Community Survey

    Date of API call: January 2, 2024

    National Figures: data.census.gov

    The United States Census Bureau's American Community Survey (ACS):

    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. 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. Click here to learn more about ACS data releases.
    • 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 2010 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.

  9. d

    DC COVID-19 Cases by Ward

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Feb 5, 2025
    + more versions
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    City of Washington, DC (2025). DC COVID-19 Cases by Ward [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-cases-by-ward
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    District of Columbia COVID-19 positive cases and total tests reported by Ward. Due to rapidly changing nature of COVID-19, data for March 2020 is limited. General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.

  10. g

    Demographic Characteristics of DC Wards 2018-2022 5-Year ACS | gimi9.com

    • gimi9.com
    Updated Jun 1, 2022
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    (2022). Demographic Characteristics of DC Wards 2018-2022 5-Year ACS | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_demographic-characteristics-of-dc-wards-2018-2022-5-year-acs
    Explore at:
    Dataset updated
    Jun 1, 2022
    License

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

    Area covered
    Washington
    Description

    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. Click here to learn more about ACS data releases.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 2010 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.

  11. d

    Wards from 1982

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 4, 2025
    + more versions
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    D.C. Office of the Chief Technology Officer (2025). Wards from 1982 [Dataset]. https://catalog.data.gov/dataset/wards-from-1982
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    This dataset contains polygons representing boundaries of District of Columbia's election wards, used from 1982 to 1991.

  12. d

    DC COVID-19 Vaccine Coverage by Ward

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated May 7, 2025
    + more versions
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    D.C. Office of the Chief Technology Officer (2025). DC COVID-19 Vaccine Coverage by Ward [Dataset]. https://catalog.data.gov/dataset/dc-covid-19-vaccine-coverage-by-ward
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    Dataset updated
    May 7, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Area covered
    Washington
    Description

    Number of residents who completed the vaccine regimen for COVID-19. Coverage is defined as the number of vaccinated individuals as a proportion of the number of residents living in each ward. The proportion of fully vaccinated residents does not translate to population immunity. Residents who are partially vaccinated may have some level of immunity, immunity may change over time, and non-residents are not be included in the population. Vaccine administration data is reported by facilities and may not be complete.

  13. g

    Social Characteristics of DC Wards 2018-2022 5-Year ACS | gimi9.com

    • gimi9.com
    Updated Jun 1, 2022
    + more versions
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    (2022). Social Characteristics of DC Wards 2018-2022 5-Year ACS | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_social-characteristics-of-dc-wards-2018-2022-5-year-acs
    Explore at:
    Dataset updated
    Jun 1, 2022
    License

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

    Area covered
    Washington
    Description

    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. Click here to learn more about ACS data releases.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 2010 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.

  14. g

    Housing Characteristics of DC Wards 2018-2022 5-Year ACS | gimi9.com

    • gimi9.com
    Updated Jun 1, 2022
    + more versions
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    (2022). Housing Characteristics of DC Wards 2018-2022 5-Year ACS | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_housing-characteristics-of-dc-wards-2018-2022-5-year-acs/
    Explore at:
    Dataset updated
    Jun 1, 2022
    License

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

    Area covered
    Washington
    Description

    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. Click here to learn more about ACS data releases.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 2010 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.

  15. p

    2023 ANC Changes, Addresses

    • parkdc.com
    • parkdc-dcgis.hub.arcgis.com
    Updated Dec 28, 2022
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    City of Washington, DC (2022). 2023 ANC Changes, Addresses [Dataset]. https://www.parkdc.com/items/d6b6b4f8e3ec44febbd43d68588755ac
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    Dataset updated
    Dec 28, 2022
    Dataset authored and provided by
    City of Washington, DC
    Description

    The addresses that will be in a new ANC when the 2023 ANC boundaries go into effect on January 1st, 2023.Does not include:- Non Residential Addresses

  16. d

    Small Area Plans

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Feb 5, 2025
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    Office of Planning (2025). Small Area Plans [Dataset]. https://catalog.data.gov/dataset/small-area-plans
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Office of Planning
    Description

    This dataset contains areal locations for Major Area Pans as established by the DC Office of Planning. Below are brief descriptions about each area. 1. Benning Road: The study area starts at the Starburst intersection, where Florida Avenue, Bladensburg Road and BenningRoad NE meet, and continues to the Maryland border at Southern Avenue, passing through Wards 5, 6 and 7 along the way. 2. Brookland/CUA Metro Station Area Plan: The boundaries for the immediate Small Area Plan study area for Brookland generally are Taylor Street to the north, 13th street to the east, Rhode Island Avenue to the South and 7th Street to Michigan Avenue to John McCormack Road to the west. 3. Deanwood Strategic Development Plan: The project area consists of Eastern Avenue to the Northeast, 55th Street NE to the East, Marvin Gaye Park to the South, and Kenilworth Avenue/CSX railway to the West. 4. Georgia Avenue - Petworth Metro Station Area Corridor Plan: Project area includes all properties fronting Georgia Avenue, from Decatur Street to Euclid Street in Ward 1; and encompasses approximately 40 blocks. The 4 neighborhood areas are defined as follows: -Upshur (Decatur Street to Shepherd Street) -Petworth-Metro (Shepherd Street to Otis Place) -Park View/Park Morton (Otis Place to Irving Street) -Pleasant Plains (Irving Street to Euclid Street) 5. Kennedy Street: Properties fronting on Kennedy from Georgia to North Capitol Street N. 6. Pennsylvania Avenue SE Land Development Plan: The study area includes all properties fronting on Pennsylvania Avenue SE from Independence Avenue SE/2nd Street SE eastward to Southern Avenue. The study area is more than three miles long and runs through parts of Wards 6, 7, and 8 in the District of Columbia. There are six sub areas located along the study area including: -Southern Avenue to Alabama Avenue (Ward 7) -Alabama Avenue to Branch Avenue (Ward 7) -Branch Avenue to 28th Street (Ward 7) -28th Street to the Sousa Bridge (Ward 8) -Sousa Bridge to 11th Street (Ward 6) -11th Street to 2nd Avenue/Independence Avenue (Ward 6) 7. Riggs Road / South Dakota Avenue: The Office of Planning will undertake a community planning process with area stakeholders (including residents, ANCs, neighborhood organizations, Council staff, businesses, property owners, institutions and government agencies) to develop a Strategic Development Plan and Revitalization strategy for the properties within Wards 4 and 5 within a ΒΌ mile radius surrounding the Riggs Road and South Dakota Avenue NE intersection. This includes Fort Totten Metro Station. 8. Upper Georgia Avenue Land Development Plan: Project boundaries extends from Decatur Street on the south to Eastern Avenue on the north, including properties along Georgia Avenue from one block to the east and west. 9. St. Elizabeths East Redevelopment Framework Plan: Corner of MLK SE and the alley 1 block north of Lebaum St. SE. Go southeast until Alabama Ave, SE and follow Alabama Ave to just passed the Congress Heights Metro. Head north to corner of Hebrew Cemetery boundary then northeast until Bruce St, SE. Finally, go northwest to intersect with MLK, SE just south of Pomeroy Rd, SE. 10. Anacostia Transit Area Strategic Investment Redevelopment Plan: The study area for the Anacostia Transit Area Framework Plan extends between Fort Stanton Park and Anacostia Park on the east and west, and Good Hope Road and Stevens Road SE on the north and south. 11. Convention Center Area Strategic Development Plan: Bounded by New York Avenue, Massachusetts Avenue, 12th Street, Vermont Avenue, U Street, Florida Avenue, and New Jersey Avenue. The area includes Logan Circle, French Street, Westminster Street, Blagden Alley, O Street Market, East Central, and MountVernon Square. 12. Uptown Destination District Plan (DUKE): Project boundaries Barry Place NW to the north; 6th Street NW to the east; Rhode Island Avenue to the south; and 13th Street to the west. 13. H Street Revitalization Plan: The project boundaries extend along H Street NE from North Capitol Street to 17th Street NE. (13 blocks). 14. Takoma Central District Plan: Project boundaries are defined by the area between Chestnut Street to the north, Eastern Avenue to the east, 4th 5th Streets to the west, and Aspen Laurel Streets to the south.

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    Crashes in DC

    • catalog.data.gov
    • datasets.ai
    • +6more
    Updated Jun 11, 2025
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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
    Jun 11, 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

  18. d

    Planting by Ward

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 4, 2025
    + more versions
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    City of Washington, DC (2025). Planting by Ward [Dataset]. https://catalog.data.gov/dataset/planting-by-ward
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    The District is on a mission to reach and maintain urban tree canopy coverage of 40% by 2032. Urban tree canopy is the layer of leaves, stems, and branches that cover the city. Among many other benefits, these trees improve our air and water quality, cool our neighborhoods, and provide critical habitat for birds and bees. See our progress and learn more about how we are achieving this ambitious goal.

  19. g

    DC Office of Tax and Revenue Real Property Assessment Map App | gimi9.com

    • gimi9.com
    Updated Jul 26, 2022
    + more versions
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    (2022). DC Office of Tax and Revenue Real Property Assessment Map App | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_dc-office-of-tax-and-revenue-real-property-assessment-map-app/
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    Dataset updated
    Jul 26, 2022
    License

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

    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.

  20. d

    Families First DC Communities

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Feb 5, 2025
    + more versions
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    Office of the Chief Technology Officer (2025). Families First DC Communities [Dataset]. https://catalog.data.gov/dataset/families-first-dc-communities
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    Families First DC will provide grants to establish community-based organizations that will drive the placed-based services based upon the needs by launching Family Success Centers in five communities in Ward 7 and five in Ward 8. These focused areas were selected based on social determinants of health data, violence prevention priority areas, and substantiated reports on child abuse and neglect.

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City of Washington, DC (2025). Wards from 2022 [Dataset]. https://catalog.data.gov/dataset/wards-from-2022

Wards from 2022

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22 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 4, 2025
Dataset provided by
City of Washington, DC
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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