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This data was included as part of the 2016 ADA Transition Plan for the District of Columbia. The data identifies the condition of Audible Pedestrian Signals in the District and compliance with the Americans with Disabilities Act. Data was captured in 2016.
District of Columbia boundary. The dataset is a polygon representing the District of Columbia boundary, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. The boundary was identified from public records and heads-up digitized using a combination of the 1995 orthophotographs, planimetric roads features, and the USGS digital raster graphic quad sheets, and 1999 planimetrics for the Potomac River boundary.Also see the District's Boundary Stone markers.
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This data shows planned multiuse trails in the District. The map shows trails that are both funded and unfunded, and in various phases of design or study.
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The dataset contains locations and attributes of car sharing locations. The points are the general locations where the Car Sharing currently exist. A database provided by the District Department of Transportation identified Car sharing locations.
Welcome to the Office of Planning Demographic Data Hub - your one-stop shop for data, analyses and resources covering District of Columbia residents. Please explore the five main sections below and print, share or download your selections.
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.
Traffic Analysis Zones (TAZ) for the COG/TPB Modeled Region from Metropolitan Washington Council of Governments. The TAZ dataset is used to join several types of zone-based transportation modeling data. For more information, visit https://plandc.dc.gov/page/traffic-analysis-zone">https://plandc.dc.gov/page/traffic-analysis-zone.
The dataset contains locations and attributes of Embassies, 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 Office of the Chief Technology Officer (OCTO) identified Embassy locations and DC GIS staff geo-processed the data to the Master Address Repository (MAR).
Data has been updated to include agency budget code, name, and acronym attributes. Budget codes were used to assign the agency name and acronym to each record. Agencies that share the same budget code, such as those under the Executive Office of the Mayor, were left blank in PASS records. For questions regarding details within the data, contact the Office of Contracting and Procurement at https://contracts.ocp.dc.gov/contact.
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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.
This dataset contains lines representing Metro lines within the District of Columbia. Lines were taken from legacy data from WMATA and fit to orthophotography and extracted planimetric data.
Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).
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Data has been updated to include agency budget code, name, and acronym attributes. Budget codes were used to assign the agency name and acronym to each record. Agencies that share the same budget code, such as those under the Executive Office of the Mayor, were left blank in PASS records. For questions regarding details within the data, contact the Office of Contracting and Procurement at https://contracts.ocp.dc.gov/contact.
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The dataset contains locations and attributes of Vehicle Detection Systems, created from a database provided by the District Department of Transportation.
An address anomaly is an address whose location is illogical. In other words, the address does not follow the normal rules of the District of Columbia’s (DC) addressing grid system. There are different types of anomalies.
Capital Bikeshare (CaBi) serves the Metropolitan Washington region with over 4,500 bikes and over 500 stations. This walkshed uses a ¼ mile walkshed, which represents the distance most people are willing to travel to access a CaBi bikeshare station.
COVID-19 testing sites in the District of Columbia. Individuals are encouraged to get tested through their own health care provider so that when the test results come back the patient is already connected to the health care they need. If an individual needs a COVID-19 test and they do not have a provider, there are a number of options to obtain a test and a provider. If an individual needs a test and their provider is unable to give them a test, that individual should come to one of the District’s walk-up or drive-thru sites. More information at https://coronavirus.dc.gov/testing.
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Polygons in this layer represent Census Tracts in the DMV (DC, Maryland, and Virginia). Data are included for each tract which estimate hunger and food insecurity. Data were compiled by the CAFB through internal tracking, and the layer was shared with the DC government as a courtesy. Fields include (all available for 2015 and 2014):15_FI_Rate: The estimated portion of the population in the census tract experiencing food insecurity (by CAFB standards). 15/14 indicates year measured.15_FI_Pop: The estimated number of people in the census tract experiencing food insecurity (by CAFB standards). 15/14 indicates year measured.15_LB_Need: The estimated pounds of food needed by the food insecure population in the census tract. 15/14 indicates year measured.15_Distrib: The number of pounds of food distributed by CAFB and partners in the census tract. 15/14 indicates year in which the distribution took place.15_LB_Unme: The difference between the estimated pounds of food needed and the real pounds of food distributed by CAFB and partners, representing the unmet need for food assistance in the census tract. 15/14 indicates year.The layer was shared with the DC government in May 2016 and is based on 2015 and 2014 data.
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Runway, taxiway, apron, airport perimeter, or helipad. The dataset contains polygons representing planimetric runway, taxiway, apron, airport perimeter, or helipad, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). This is a complete new capture from aerial photography flown in early March, completed on March 8, 2017.
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This layer demarcates boundaries in DC east of the Anacostia River. The term "East of the River" is both a geographical description but also hast historically been used to describe the neighborhoods east of the Anacostia River.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This data was included as part of the 2016 ADA Transition Plan for the District of Columbia. The data identifies the condition of Audible Pedestrian Signals in the District and compliance with the Americans with Disabilities Act. Data was captured in 2016.