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TwitterProperty or parcel data is a critical layer to any city. In DC's complex urban environment, this includes numerous geographies that identify federal government lands, reservations, District lands, personal property and so much more.
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TwitterComprehensive demographic dataset for Ivy City, Washington, DC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Census Year 1940 Census Tracts. The dataset contains polygons representing CY 1940 census tracts, created as part of the D.C. Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Census tracts were identified from maps provided by the U.S. Census Bureau and the D.C. Office of Planning. The tract polygons were created by selecting street arcs from the WGIS planimetric street centerlines. Where necessary, polygons were also heads-up digitized from 1995/1999 orthophotographs.
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The DC Basemap provides a reference map for the District of Columbia projected in Web Mercator. Access the ArcGIS Rest endpoint. The basemap utilizes the most current planimetric and reference data available and represents the real world with foundation map layers derived from base data collection done in 2023.The service is provided by the Office of the Chief Technology Officer.
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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.
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TwitterThese data sets represent 23 geographic 5-minute indexes for the counties of Maryland, one 2 1/2-minute index for Washington D.C., and 1-mile square index for Baltimore City. There are 25 vector polygon data sets covered by this metadata report.
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TwitterData 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This Address Standards document has been developed to describe the addressing standards used for the Master Address Repository (MAR). The MAR is DC Government’s official address database and is widely used across the City of Washington, DC. The OCTO Data Team which is part of the Office of the Chief Technology Officer (OCTO), is responsible for maintaining the MAR.
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Closed Circuit TV Street Cameras locations. The dataset contains locations and attributes of CCTV and other cameras, 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.
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TwitterData 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.
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TwitterWhat can we learn about trees that once were? Can we measure them? Yes, thanks to the power of GIS! Washington, DC stands apart from most other US cities when it comes to trees. Trees were considered so essential that they were included as an integral part of Pierre L'Enfant's original design. The L'Enfant Plan, drafted in 1791, reserved space in the public right-of-way exclusively for trees. Learn how we are ensuring Washington, DC Remains the "City of Trees." Agency Website.
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TwitterThe District of Columbia government uses the Master Address Repository (MAR) to implement intelligent search functionality for finding and verifying addresses, place names, blocks and intersections.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The dataset contains locations and attributes of address points, created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and Department of Buildings (DOB). It contains the addresses in the District of Columbia which are typically placed on the buildings. Visit opendata.dc.gov/pages/addressing-in-dc#documentation for more information on the MAR.
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TwitterPlanned Land Use from the 2021 Comprehensive Plan Amendment Act of 2021. This data set is an update to the 2006 original version, which was digitized from the Generalized Land Use Map of the District of Columbia Comprehensive Plan. It shows which areas of the city are planned for various uses. These uses include residential and commercial uses at various densities, public land, institutional, federal, and industrial uses. Although planned uses and current uses may be similar, this is not a data set describing current land use. This is a generalized product, and cannot be used to identity specific uses for all specific locations in the District of Columbia.
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Twitterhttps://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions
A dataset listing Washington cities by population for 2024.
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TwitterAge, 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Census Year 1930 Census Tracts. The dataset contains polygons representing CY 1930 census tracts, created as part of the D.C. Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Census tracts were identified from maps provided by the U.S. Census Bureau and the D.C. Office of Planning. The tract polygons were created by selecting street arcs from the WGIS planimetric street centerlines. Where necessary, polygons were also heads-up digitized from 1995/1999 orthophotographs. METADATA CONTENT IS IN PROCESS OF VALIDATION AND SUBJECT TO CHANGE.
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TwitterMap of Washington DC from 1792
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Primary care centers where residents can find available health care services in the District of Columbia. The dataset contains locations and attributes of Primary Care Centers, 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. A database provided by the DC Department of Health (DOH) identified Primary Care Centers and DC GIS staff geo-processed the data.
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TwitterProperty or parcel data is a critical layer to any city. In DC's complex urban environment, this includes numerous geographies that identify federal government lands, reservations, District lands, personal property and so much more.