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Layer: Food Assistance-DHCD (0)

Name: Food Assistance-DHCD

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: This point dataset represents locations of supported CDBG CV2 Funding Food Assistance locations.

Copyright Text: DHCD, OIT-GIS

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Supported Query Formats: JSON, geoJSON, PBF

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• COUNCIL_DISTRICT ( type: esriFieldTypeSmallInteger, alias: Council District )
• NOTES ( type: esriFieldTypeString, alias: Notes, length: 255 )
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Layer: CDBG (1)

Name: CDBG

Display Field: ADDRESS

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: This point dataset represents the Department of Housing and Community Development (DHCD) Community Development Block Grants (CDBG) funded Projects.

Service Item Id: 34643ddad7c544d0bb80a03eb0bf75f8

Copyright Text: DHCD, OIT-GIS

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Layer: DHCD Projects (2)

Name: DHCD Projects

Display Field: PROJECT_NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: This feature class contains point data representing Prince George's County Department of Housing and Community Development projects.Fields: Project name, project sponsor, address (matching MNCPPC addresspoint schema), primary population serves, construction type, construction status, number of units, total development cost, closest Metrorail station, distance to closest Metrorail station (miles(), import/update date, GIS index number, and comments

Service Item Id: 34643ddad7c544d0bb80a03eb0bf75f8

Copyright Text: OIT-GIS, MNCPPC, DHCD

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Layer: Master ROFR (3)

Name: Master ROFR

Display Field: APARTMENT_NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: This feature class contains point data representing Prince George's County Department of Housing and Community Development projects.Fields: Apartment name, address, city, state, zip code, certificate of compliance date, original address, seller name, buyer name, number of units, sale price, request received date, active/historic record flag, import/update date, delivery address, GIS index number

Copyright Text: OIT-GIS, MNCPPC, DHCD

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Supported Query Formats: JSON, geoJSON, PBF

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Layer: Low to Moderate Income by Block Group (4)

Name: Low to Moderate Income by Block Group

Display Field: FID_1

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Service Item Id: 34643ddad7c544d0bb80a03eb0bf75f8

Copyright Text:

Default Visibility: true

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

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Layer: Census Data by Zip Code (5)

Name: Census Data by Zip Code

Display Field: GEOID10

Type: Feature Layer

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Description: The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social and economic data. The ACS replaces the decennial census long form in 2010 and every year thereafter. The annual ACS sample is smaller than that of previous long form surveys resulting in a larger sampling error. Coefficients of Variation (CVs), which are statistical measures that show the relative amount of sampling error associated with an estimate, were not calculated for this data. One unit of geography used for the 2015-2019 data is the census tract - a small statistical area within a county, which is delineated every 10 years prior to the decennial census. The other unit of geography used for the 2015-2019 data is the Zip Code Tabulation Area (ZCTA). ZCTAs are statistical geographic areas produced by the Census Bureau by aggregating census blocks to create generalized areas closely resembling the U.S. Postal Service's postal zip codes. Please note that this is only a small portion of the data collected as part of the American Community Survey. For more information please see https://www.census.gov/acs/www/. This feature class was originally acquired from the Maryland Department of Planning, enhanced to support M-NCPPC requirements, and updated from U.S. Census data. The Prince George's County Planning Department does not have the authority to release this data. Please contact the authoritative source for more information and to acquire the data.

Service Item Id: 34643ddad7c544d0bb80a03eb0bf75f8

Copyright Text: U.S. Census

Default Visibility: true

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Supported Query Formats: JSON, geoJSON, PBF

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Layer: Census Data by Census Tract (6)

Name: Census Data by Census Tract

Display Field: CT2010

Type: Feature Layer

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Description: The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social and economic data. The ACS replaces the decennial census long form in 2010 and every year thereafter. The annual ACS sample is smaller than that of previous long form surveys resulting in a larger sampling error. Coefficients of Variation (CVs), which are statistical measures that show the relative amount of sampling error associated with an estimate, were not calculated for this data. One unit of geography used for the 2015-2019 data is the census tract - a small statistical area within a county, which is delineated every 10 years prior to the decennial census. The other unit of geography used for the 2015-2019 data is the Zip Code Tabulation Area (ZCTA). ZCTAs are statistical geographic areas produced by the Census Bureau by aggregating census blocks to create generalized areas closely resembling the U.S. Postal Service's postal zip codes. Please note that this is only a small portion of the data collected as part of the American Community Survey. For more information please see https://www.census.gov/acs/www/. This feature class was originally acquired from the Maryland Department of Planning, enhanced to support M-NCPPC requirements, and updated from U.S. Census data. The Prince George's County Planning Department does not have the authority to release this data. Please contact the authoritative source for more information and to acquire the data.

Service Item Id: 34643ddad7c544d0bb80a03eb0bf75f8

Copyright Text: U.S. Census

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Layer: Rent Assistance Risk Assessment (7)

Name: Rent Assistance Risk Assessment

Display Field: GEO_ID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset represents the risk assessment for Pandemic-related emergency rent assistance. It is intended for use by the Department of Housing and Community Development, and the Department of Social Services.

Copyright Text: U.S. Census, OIT-GIS

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Description: This data set approximates the boundaries of United States Postal Service (USPS) ZIP code delivery areas within Prince George's County, Maryland. The polygon boundaries are based on actual delivery areas used by mail carriers and captured to follow parcel boundaries wherever possible, with some following street centerlines, political boundaries, and topographic features. Since neither the U.S. Postal Service nor the U.S. Census Bureau maintains official ZIP code boundary files or maps, the M-NCPPC created this file in order to be able to map data aggregated by ZIP code. Planning Department staff relied on the official USPS website database and regional post office staff to delineate areas within which letter carriers delivered mail with the same ZIP code. This data set includes all the standard type ZIP codes, as well as the unique ZIP codes for the NASA Goddard Space Center, the University of Maryland College Park, the Southern Maryland Processing and Distribution Center, and the Washington Bulk Mail Center. Where the P.O.-box-only type of ZIP code differs from the surrounding standard ZIP codes, they are captured symbolically at each post office as a circular shape ten feet in diameter.

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Layer: LOMOD CCL (9)

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Description: The layer represents the boundaries of the councilmanic districts in Prince George's County, as adopted by the County Council on November 1, 2011 in Council Bill CB-64-2011. The boundary data is accurate to 1:2,400. For further information, please see http://www.princegeorgescountymd.gov/sites/CountyCouncil/Services/Redistricting/Pages/default.aspx

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Layer: Affordable_Housing Inventory (11)

Name: Affordable_Housing Inventory

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Description: This point dataset represents the DHCD Affordable Housing Inventory, The data is extracted from the project Summary list.

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