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TwitterThe TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.
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TwitterDefined counties in Pennsylvania
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TwitterThese data provide an accurate high-resolution shoreline compiled from imagery of PORTS OF PHILADELPHIA AND CAMDEN-GLOUCESTER, PA-NJ . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
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The classification of land according to what activities take place on it or how it is being used; for example, agricultural, industrial, residential, rural, or commercial. Land use information and analysis is a fundamental tool in the planning process.
DVRPC’s 2020 land use file is based on digital orthophotography created from aerial surveillance completed in the spring of 2020. This dataset supports many of DVRPC's planning analysis goals.
Every five years, since 1990, the Delaware Valley Regional Planning Commission (DVRPC) has produced a GIS Land Use layer for its 9-county region.
lu20cat: Land use main category two-digit code.
lu20catn: Land use main category name.
lu20cat
lu20catn
1 - Residential
3 - Industrial
4 - Transportation
5 - Utility
6 - Commercial
7 - Institutional
8 - Military
9 - Recreation
10 - Agriculture
11 - Mining
12 - Wooded
13 - Water
14 - Undeveloped
lu20sub: Land use subcategory five-digit code. (refer to this data dictionary for code description)
lu20subn: Land use subcategory name.
lu20dev: Development status.
mixeduse: Mixed-Use status (Y/N). Features belonging to one of the Mixed-Use subcategories (Industrial: Mixed-Use, Multifamily Residential: Mixed-Use, or Commercial: Mixed-Use).
acres: Area of feature, in US acres.
geoid: 10-digit geographic identifier. In all DVRPC counties other than Philadelphia, a GEOID is assigned by municipality. In Philadelphia, it is assigned by County Planning Area (CPA).
state_name, co_name, mun_name: State name, county name, municipal/CPA name. In Philadelphia, County Planning Area (CPA) names are used in place of municipal names.
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TwitterThis shapefile is intended as a master shapefile of non-Circuit trails in DVRPC's four New Jersey counties. It was compiled by DVRPC using several sources including county open data portals, PDF park and trail maps available online, and Google Maps' trails layer. Trails were corrected and verified manually using leaf-off Nearmap and Google imagery as well as PDF maps and Strava.com where aerial imagery was not sufficient. trail_name: The trail name field was inherited from individual source shapefiles and edited when necessary. Where possible, trail_name represents the official name of the trail. In the case that official names were not available, descriptive, colloquial names were added.county: This field refers to the county the trail exists in.owner: This field refers to the agency/organization responsible for the trail.surface_type: The surface_type field includes the primary surface material based on the following categories:Crushed Stone/Gravel, Dirt, Grass, Paved (includes asphalt, concrete, and other hard surfaces), Stone Dust, and Varies (in the case where a trail is composed of more than one surface material)multi_use: This field indicates whether a trail is suitable for more than one use, e.g. walking, hiking, biking, horseback riding, etc. Where possible, the width of trails was measured to determine compliance with AASHTO standards. verif_status: This field indicates whether the trail segment is fully verified. For records that were able to be verified, this field contains the value 'Verified'. For records that were not able to be verified, this field is left blank.verif_by: This refers to the individual who edited and/or verified the trail segment.verif_date: Date of verificationcomments_dvrpc: This field contains notes from the DVRPC planner/analyst about any issues or observations regarding the trail segment and its verification.
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TwitterDVRPC’s 2023 land use file is based on digital orthophotography created from aerial surveillance completed in the spring of 2023. This dataset supports many of DVRPC's planning analysis goals.Every five years, since 1990, the Delaware Valley Regional Planning Commission (DVRPC) has produced a GIS Land Use layer for its 9-county region.lu23cat: Land use main category two-digit code.lu23catn: Land use main category name.lu23catlu23catn1Residential3Industrial4Transportation5Utility6Commercial7Institutional8Military9Recreation10Agriculture11Mining12Wooded13Water14Undevelopedlu23sub: Land use subcategory five-digit code.(refer to this data dictionary for code description)lu23subn: Land use subcategory name.lu23dev: Development status.mixeduse: Mixed-Use status (Y/N). Features belonging to one of the Mixed-Use subcategories (Industrial: Mixed-Use, Multifamily Residential: Mixed-Use, or Commercial: Mixed-Use).acres: Area of feature, in US acres.geoid: 10-digit geographic identifier. In all DVRPC counties other than Philadelphia, a GEOID is assigned by municipality. In Philadelphia, it is assigned by County Planning Area (CPA).state_name, co_name, mun_name: State name, county name, municipal/CPA name. In Philadelphia, County Planning Area (CPA) names are used in place of municipal names.
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TwitterDVRPC’s 2023 land use file is based on digital orthophotography created from aerial surveillance completed in the spring of 2023. This dataset supports many of DVRPC's planning analysis goals.Every five years, since 1990, the Delaware Valley Regional Planning Commission (DVRPC) has produced a GIS Land Use layer for its 9-county region.lu23cat: Land use main category two-digit code.lu23catn: Land use main category name.lu23catlu23catn1Residential3Industrial4Transportation5Utility6Commercial7Institutional8Military9Recreation10Agriculture11Mining12Wooded13Water14Undevelopedlu23sub: Land use subcategory five-digit code.(refer to this data dictionary for code description)lu23subn: Land use subcategory name.lu23dev: Development status.mixeduse: Mixed-Use status (Y/N). Features belonging to one of the Mixed-Use subcategories (Industrial: Mixed-Use, Multifamily Residential: Mixed-Use, or Commercial: Mixed-Use).acres: Area of feature, in US acres.geoid: 10-digit geographic identifier. In all DVRPC counties other than Philadelphia, a GEOID is assigned by municipality. In Philadelphia, it is assigned by County Planning Area (CPA).state_name, co_name, mun_name: State name, county name, municipal/CPA name. In Philadelphia, County Planning Area (CPA) names are used in place of municipal names.
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TwitterDVRPC’s 2023 land use file is based on digital orthophotography created from aerial surveillance completed in the spring of 2023. This dataset supports many of DVRPC's planning analysis goals.Every five years, since 1990, the Delaware Valley Regional Planning Commission (DVRPC) has produced a GIS Land Use layer for its 9-county region.lu23cat: Land use main category two-digit code.lu23catn: Land use main category name.lu23catlu23catn1Residential3Industrial4Transportation5Utility6Commercial7Institutional8Military9Recreation10Agriculture11Mining12Wooded13Water14Undevelopedlu23sub: Land use subcategory five-digit code.(refer to this data dictionary for code description)lu23subn: Land use subcategory name.lu23dev: Development status.mixeduse: Mixed-Use status (Y/N). Features belonging to one of the Mixed-Use subcategories (Industrial: Mixed-Use, Multifamily Residential: Mixed-Use, or Commercial: Mixed-Use).acres: Area of feature, in US acres.geoid: 10-digit geographic identifier. In all DVRPC counties other than Philadelphia, a GEOID is assigned by municipality. In Philadelphia, it is assigned by County Planning Area (CPA).state_name, co_name, mun_name: State name, county name, municipal/CPA name. In Philadelphia, County Planning Area (CPA) names are used in place of municipal names.
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TwitterParcels are a key framework data set for Sussex County's GIS spatial data network which serves the Sussex County information management system. Tax parcels data assist with day-to-day operations for the County, its municipalities, and not-for-profits. These data also provide one of the FGDC framework data sets.Although this data set does not contain property assessment information, each parcel record contains an attribute called the PAMS_PIN (a concatenation of the New Jersey Division of Taxation county/muncipality code, block number, lot number and qualification code) that uniquely identifies the parcel. The PAMS_PIN field can be used to join the data set to MOD-IV database tables maintained by the New Jersey Division of Taxation that contain supplementary attribute information regarding lot ownership and characteristics.This data set may not represent all current parcels because of lag in information flow and data development.Contact: Sussex County Office of GIS Management; 973-579-0430.
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TwitterAn elevation or topographic contour is a line that connects a series of points of equal elevation and is used to illustrate topography, or relief, on a map. It shows the height of ground above Mean Sea Level (M.S.L.). Numerous contour lines that are close together indicate hilly or mountainous terrain; when far apart, they represent a gentler slope. This layer consists of contours at a five foot interval for Montgomery County. Data was derived from DVRPC and was generated from an aerial topographic survey in 2005.The Delaware Valley Regional Planning Commission's (DVRPC) 9-county region is made up of the following: Bucks, Chester, Delaware, Montgomery, and Philadelphia counties in Pennsylvania; and Burlington, Camden, Gloucester, and Mercer counties in New Jersey.The regional dataset can be be accessed via rest service or downloaded from PASDA
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TwitterDVRPC’s 2023 land use file is based on digital orthophotography created from aerial surveillance completed in the spring of 2023. This dataset supports many of DVRPC's planning analysis goals.Every five years, since 1990, the Delaware Valley Regional Planning Commission (DVRPC) has produced a GIS Land Use layer for its 9-county region.lu23cat: Land use main category two-digit code.lu23catn: Land use main category name.lu23catlu23catn1Residential3Industrial4Transportation5Utility6Commercial7Institutional8Military9Recreation10Agriculture11Mining12Wooded13Water14Undevelopedlu23sub: Land use subcategory five-digit code.(refer to this data dictionary for code description)lu23subn: Land use subcategory name.lu23dev: Development status.mixeduse: Mixed-Use status (Y/N). Features belonging to one of the Mixed-Use subcategories (Industrial: Mixed-Use, Multifamily Residential: Mixed-Use, or Commercial: Mixed-Use).acres: Area of feature, in US acres.geoid: 10-digit geographic identifier. In all DVRPC counties other than Philadelphia, a GEOID is assigned by municipality. In Philadelphia, it is assigned by County Planning Area (CPA).state_name, co_name, mun_name: State name, county name, municipal/CPA name. In Philadelphia, County Planning Area (CPA) names are used in place of municipal names.
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TwitterProtected Open Space for the DVRPC Region as of 2020. DVRPC maintains an inventory of protected public and private open space in the Delaware Valley. The inventory tracks all publicly-owned open space, preserved farmland, and non profit protected open space. State, county and municipal programs preserve farms by purchasing development rights with public funds. Non-profits (land trusts and conservancies) protect privately owned open space lands by purchasing easements or by acquiring land outright with a combination of public and private funds. This file is a compilation from the following sources and is not necessarily parcel-based: Bucks County Planning Commission; Burlington County Department of Economic Development and Regional Planning; Camden County Division of Open Space and Farmland Preservation; Camden County Improvement Authority; Chester County Planning Commission; Delaware County Planning Department; Gloucester County Planning Division; Mercer County Planning Division; Montgomery County Planning Commission; Natural Lands Trust; New Jersey Conservation Foundation; New Jersey Department of Environmental Protection; New Jersey State Agriculture Development Committee; Pennsylvania Department of Conservation and Natural Resources; Philadelphia City Planning Commission; Philadelphia Department of Parks and Recreation In the cases where land had multiple owners, the following heirarchy was applied: 1. Preserved Farmland 2. Federal 3. State 4. County 5. Municipal 6. Nonprofit
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TwitterThe TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.