| Date | Title | Provider |
| 2025 |
Adams County parcels
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| Adams County |
| 2002 |
Derived from original MAPINDX: Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5" grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.
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| Allegheny County |
| 2000 |
Derived from original MAPINDX: Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5" grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.
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| Allegheny County |
| 2025 |
Boundary outlines of individual properties in Allegheny County.
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| Allegheny County |
| 2024 |
The purpose of this project was to conduct an assessment of tree canopy change that occurred between 2015 and 2020 utiliing LiDAR data and a previously prepared canopy dataset. Comprehensive canopy change statistics are provided for various geographies down to the parcel-level scale. Tree canopy was extracted from LiDAR data collected in the fall of 2019 and spring of 2020 in ArcMap. A digital surface model (DSM) was created by interpolating the maximum values of the first returns of each laser pulse across a 3-foot grid surface (raster). A speckled output was created because some pulses can entirely or partially pass-through tree canopy before detecting a return, so maximum focal statistics in a 3 by 3 rectangular grid window were applied to the DSM to create a smooth surface. Another raster representing the elevations of solid surfaces which LiDAR does not penetrate - usually ground and buildings, but occasionally dense evergreens as well, was created by interpolating the minimum values of the last returns (which are also the first return in instances of single return). Mean focal statistics in a 3 by 3 cell window were applied to this raster. The last return raster was subtracted from the first return raster, creating a canopy height model (CHM) – a representation of the heights of objects with complex return structures above the ground. In addition to trees, this includes built structures such as power lines, poles, transmission towers, gantries, etc. The edges of buildings also appeared in the CHM as a result of different cell assignment and focal statistics types applied to the first and last return rasters. The heights of dense evergreens were underestimated due to the inability of LiDAR to penetrate to the ground for a proper base for height. A constant raster of CHM cells with a height greater than 15 feet was created. Holes less than 500 square feet were filled to eliminate dubious small gaps while preserving discernable canopy gaps. This raster was then shrunk by 2 cells and expanded back by 2 cells. This process eliminated narrow or small features such as building edges, power lines, and poles. This raster was then converted into a vector polygon format for editing.
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| Allegheny County |
| 2023 |
Boundary outlines of individual properties in Bedford County. The Parcel Dataset was developed primarily for the purposes of identifying land parcels for tax billing and tax assessment purposes.
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| Bedford County |
| 2025 |
These parcels represent the current mapped parcels, to represent tax areas, not to serve as surveyed boundaries. Parcels polygons should never be considered survey accurate, nor should they be used in place of a survey by a registered land surveyor for any means other than general reference to the taxable area described on a deed. For any noticeable mapping errors please notify the Blair County Assessment Office at: blairassessment@blairco.org or by calling the office at: (814) 693-3110.
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| Blair County |
| 2023 |
Bradford County Parcel Hooks
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| Bradford County |
| 2023 |
Bradford County Parcels
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| Bradford County |
| 2024 |
Parcels
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| Bucks County |
| 2023 |
Boundary outlines of individual properties in Butler County.
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| Butler County |
| 2025 |
This dataset contains wetlands in Cambria County.
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| Cambria County |
| 2024 |
This Parcels layer contains basic geometry and attribute information. It is maintained by the Tax Assessment staff with the assistance of the GIS Department. This contains NO ownership information. Please contact the GIS Department for this dataset.
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| Centre County |
| 2011 |
The data describes the boundary of the Chester County. The boundary was captured from the County tax assessment maps. Original maps at 1"=400' and 1"=100' scales were compiled at 1"=200' through the digital tax parcel conversion project.
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| Chester County |
| 2023 |
The data describes the municipal boundaries within Chester County. There are 73 municipalities within Chester County. The boundaries were captured from the County tax assessment maps. Original maps at 1"=400' and 1"=100' scales were compiled at 1"=200' through the digital tax parcel conversion project.
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| Chester County |
| 2023 |
Boundary outlines of individual properties in Chester County
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| Chester County |
| 2024 |
This dataset is composed of the entire City of Philadelphia's parcels based on their legal descriptions.
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| City of Philadelphia |
| 2025 |
Philadelphia Green stormwater infrastructure public projects on parcels for the Big Green Map
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| City of Philadelphia |
| 2004 |
This dataset is composed of the entire City of Philadelphia's transparcels based on their legal descriptions. Feature update 2004
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| City of Philadelphia |
| 2025 |
The primary purpose of PWD_PARCEL layer is to calculate parcel-based stormwater charges for PWD customers under the new parcel-based stormwater billing program. The layer was created from the DOR_PARCELS layer in 2005 after it was decided that none of the other City parcel layers could meet the needs of PWD's stormwater billing program. Those needs are generally that the parcel delineations match up to what people actually own, that there is an accurate assessment of the impervious area on the parcel, and that there is owner information associated with the parcel. Over the past 5 years, PWD has made corrections based off deeds on file with DOR, BRT information, and other City records. PWD also matched up each DOR parcel to a corresponding BRT record that contained the owner information for that parcel.
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| City of Philadelphia |
| 2024 |
Tax Parcels of Columbia County, Pennsylvania
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| Columbia County |
| 2018 |
Crawford County, Pennsylvania ID Points. ID points compliment the tax parcel layer and provide the location of subdivisions (general area) and individual lots. This is a feature service and data can change at anytime without notice.
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| Crawford County |
| 2024 |
Tax parcels for Crawford County PA. This information is constantly updated and maintained by the Crawford county assessment office (814-333-7302) or gisassessment@co.crawford.pa.us
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| Crawford County |
| 2018 |
Crawford County, Pennsylvania softlines. Softlines compliment the tax parcel layer and show information such as (not limited to) land hooks, streams, railroads, lot lines, free hooks. This is a feature service and data can change at anytime without notice.
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| Crawford County |
| 2021 |
Real estate boundaries and parcel identification number for Cumberland County, Pennsylvania. These boundaries do not represent survey accuracy
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| Cumberland County |
| 2023 |
Real estate boundaries and parcel identification number for Cumberland County, Pennsylvania. These boundaries do not represent survey accuracy
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| Cumberland County |
| 2022 |
The parcels are intended to provide a graphical representation of deeded properties in Dauphin County and be used for basemapping, thematic mapping and analysis.
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| Dauphin County |
| 2025 |
Boundary outlines of individual properties in Erie County. The Parcel Dataset was developed primarily for the purposes of identifying land parcels for tax billing and tax assessment purposes.
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| Erie County |
| 2025 |
The geographic extent of individual parcels within Franklin County with NO associated CAMA (Computer Assisted Mass Appraisal - tax base) or parcel information. Polygons derived from original documents (deeds & surveys) by the Sidwell Co in 2013 and maintained since by County GIS staff.
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| Franklin County |
| 2021 |
Boundary outlines of individual properties in Fulton County.
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| Fulton County |
| 2024 |
The ArcGIS Package contains mapping data for a Swatara Creek Greenway Return on Environment (ROE) project. The work was prepared for the Manada Conservancy for its work in the Swatara Creek watershed in Dauphin County. The contents, which include detailed metadata descriptions, include several feature datasets, as follows: 1) SG Watershed – The study area or Swatara Creek watershed in Dauphin County 2) SG Parcels – Parcels in the project study area with attribute values 3) SG Riparian Areas – Riparian buffer areas adjacent to surface water features 4) SG ROE Values - Swatara Creek Greenway Return on Environment Findings 5) SG Green Ribbon Landscapes – Conservation buffer areas 6) SG Forest Size – Forested areas 7) SG Tree Canopy – detailed tree canopy in buffer areas. The project also contains a raster version of the SG ROE Values to assist in online rendering. Metadata information is included for each of the participating layers.
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| Greener Planning |
| 2023 |
Parcels
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| Indiana County |
| 2024 |
Polygon coverage representing Juniata County, Pennsylvania properties
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| Juniata County |
| 2025 |
Polygon layer representing the real Lancaster County property, as mapped by the assessment office.
Data created for Lancaster County Assessment Office. Intended for illustration and demonstration purposes only.
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| Lancaster County |
| 2025 |
Polygon layer representing public parks, public and semi-public recreation land and other conservation land and easements. Based on the tax parcel layer and aerial photographs.
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| Lancaster County |
| 2021 |
Boundary outlines of individual properties in Lehigh County, Pennsylvania
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| Lehigh County |
| 2022 |
Luzerne County Municipal boundaries which defines the current municpal configurations based on best available information. Data may also contain various administrative, planning and property data. Best Fit to 1"=200' orthophotography, County Tax Parcels, GPS field work, Provided Surveys, Road Docket Plots and/or other sources.
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| Luzerne County |
| 2025 |
Property or Parcel Boundaries of all known properties in Lycoming County, PA
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| Lycoming County |
| 2024 |
The Parcel Dataset was developed primarily for the purpose of identifying land parcels for tax billing and tax assessment purposes.
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| Mercer County |
| 2024 |
Boundary outlines of individual properties in Mifflin County. The Parcel Dataset was developed primarily for the purposes of identifying land parcels for tax billing and tax assessment purposes.
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| Mifflin County |
| 2022 |
Boundary outlines of individual properties in Monroe County
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| Monroe County |
| 2025 |
This layer shows site structure address points in Montgomery County, Pennsylvania. Site Structure Address Points (SSAP) represent a physical address of a structure. This address may differ from a mailing address and even a property parcel address. The layer is was developed in accordance with NENA NG911 guidelines. The layer also contains trail and highway mile markers which are needed for 911 location services.
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| Montgomery County |
| 2025 |
This layer shows the building outlines for Montgomery County, Pennsylvania. The original layer was purchased from NearMap in the spring of 2020. Updates and additions to the original layer were made using parcel and current spring 2022 aerial imagery.
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| Montgomery County |
| 2025 |
Parcel boundaries and property information for Montgomery County, Pennsylvania. This data is a download from the county's assessment database and is updated monthly.
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| Montgomery County |
| 2024 |
Tax Parcels of Monroe County, Pennsylvania
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| Montour County |
| 1999 |
This layer includes the parcels within the municipality along with condominiums and mobile homes. Also included, are the county's tax data along with municipal data such as street address, lot number and subdivision, build out status, land use, zoning, septic or sewer, and housing starts on two year intervals since 1990.
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| Municipality of Murrysville |
| 1999 |
The Zoning coverage is a polygon layer reflecting Murrysville's zoning districts and their boundaries. The coverage is designed to overlay the parcel coverage, aiding in the initial determination of a parcel or plan's zoning or zonings. Additional attribute data such as setbacks and minimum lot size are included.
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| Municipality of Murrysville |
| 2025 |
Beneficial Land Use is a DEP primary facility type related to the Water Pollution Control Program. The sub-facility type related to Beneficial Land Use is the Parcel. A parcel refers to the land application site that is proposed to received biosolids or residential septage. Land application for biosolids and septage means beneficial use, meaning it is applied to land as a soil amendment/fertilizer.
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| Pennsylvania Department of Environmental Protection |
| 2021 |
Used to define the boundaries of the individual game warden districts and to manage manpower and workload distribution of officers for the Pennsylvania Game Commission.
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| Pennsylvania Game Commission |
| 2021 |
Parcel boundaries of Perry County, Pennsylvania
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| Perry County |
| 2025 |
Parcels
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| Snyder County |
| 2025 |
Boundary outlines of individual properties for the State of Pennsylvania. This dataset is incomplete and county parcels will be added as available. Attributes contain PIN ID, Source, and Date of Parcels
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| The Pennsylvania State University |
| 2002 |
The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries.
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| U S Department of Agriculture |
| 2002 |
The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries.
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| U S Department of Agriculture |
| 2002 |
The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries.
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| U S Department of Agriculture |
| 2002 |
The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries.
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| U S Department of Agriculture |
| 2002 |
The United States Department of Agriculture (USDA), National
Agricultural Statistics Service (NASS) area sampling frame is a
delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite
imagery to divide a state into homogenous land use areas (strata) based
on percent cultivated. The strata are typically defined as low, medium or
high percent cultivated, non-agricultural land, urban use, agri-urban, or
water. The boundaries of the strata usually follow identifiable features
such as roads, railroads and waterways. The strata boundaries do not
coincide with any political boundaries, with the exception of state
boundaries.
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| U S Department of Agriculture |
| 2002 |
The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries.
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| U S Department of Agriculture |
| 2002 |
The United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) area sampling frame is a delineation of all parcels of land for the purpose of later sampling the parcels. The area frame is constructed by visually interpreting satellite imagery to divide a state into homogenous land use areas (strata) based on percent cultivated. The strata are typically defined as low, medium or high percent cultivated, non-agricultural land, urban use, agri-urban, or water. The boundaries of the strata usually follow identifiable features such as roads, railroads and waterways. The strata boundaries do not coincide with any political boundaries, with the exception of state boundaries.
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| U S Department of Agriculture |
| 2025 |
Tax Parcels
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| Union County |
| 2014 |
High-resolution land cover dataset for the State of Delaware. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Paved Surfaces12 - Tree Canopy over RoadsThe complete class definitions and standards can be viewed at the link below.https://docs.google.com/presentation/d/1lgOyFO0lCBl8skDGDZusthLNRVBwQs6b5nrAi05EohY/edit?usp=sharingThe primary sources used to derive this land cover layer were 2014 leaf-off LiDAR data, 2012 leaf-off imagery, and 2013 leaf-on imagery. Ancillary data sources such as roads centerlines, hydrology polygons, and parcel boundaries were obtained for the State of Delaware and used to augment the land cover mapping. This land cover dataset is considered current based on the LiDAR date of acquisition. Land cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected.
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| University of Vermont Spatial Analysis Laboratory |
| 2023 |
Tax Parcels
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| Venango County |
| 2020 |
Tax Parcels
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| Warren County |
| 2023 |
Parcel data developed by the Department of Tax Revenue
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| Washington County |
| 2019 |
This dataset identifies and scores potential riparian planting sites across Pennsylvania. Planting sites are based on 100-foot buffers around NHD High Resolution streams, areas, and water bodies. Qualifying areas have at least 0.25 acres of “Low Vegetation” land cover on a single tax parcel. Land cover data came from the 1-m High Resolution Land Cover produced by the Chesapeake Conservancy and University of Vermont. Sites are scored using a 0-3 score that combines Topographic Wetness Index, Sediment Trapping Efficiency, and upslope land cover. This version of the prioritization data converts each planting site polygon to a point. It is best suited for distant, small-scale mapping and analyses.
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| WeConservePA |
| 2019 |
This dataset identifies and scores potential riparian planting sites across Pennsylvania. Planting sites are based on 100-foot buffers around NHD High Resolution streams, areas, and water bodies. Qualifying areas have at least 0.25 acres of “Low Vegetation” land cover on a single tax parcel. Land cover data came from the 1-m High Resolution Land Cover produced by the Chesapeake Conservancy and University of Vermont. Sites are scored using a 0-3 score that combines Topographic Wetness Index, Sediment Trapping Efficiency, and upslope land cover. This version of the prioritization data includes the polygons for each planting area and is best suited for closeup, large-scale mapping and analyses.
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| WeConservePA |
| 2021 |
This dataset identifies and scores potential riparian planting sites across Pennsylvania. Planting sites are based on 100-foot buffers around NHD High Resolution streams, areas, and water bodies. Qualifying areas have at least 0.25 acres of “Low Vegetation” land cover on a single tax parcel. Land cover data came from the 2013 1-m High Resolution Land Cover produced by the Chesapeake Conservancy and University of Vermont (source: https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/). Sites are scored using a 0-3 score that combines Topographic Wetness Index, Sediment Trapping Efficiency, and upslope land cover. This version of the prioritization data includes the polygons for each planting area and is best suited for closeup, large-scale mapping and analyses.Additions to this data include buffer zone statistics including area within buffer zones along with percent area. Buffer zones are: 0-15, 16-25, 26-50, 51-75, 76-100, 101-125, 126-150, 151-175, and 176-200 feet. Intersection with conserved lands have been updated for the 2020 PA Conserved Lands dataset update.
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| WeConservePA |
| 2004 |
This layer contains polygons of Western Pennsylvania Conservancy's presently-owned properties.
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| Western Pennsylvania Conservancy |
| 2024 |
Parcel boundaries for Wyoming County, PA
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| Wyoming County |
| 2022 |
2003 York County Landcover Layer. Aerial Imagery used for creation of this dataset was from PAMAP program in 2003. Other Layers Used in this layer is Parcels (for snapping and Landuse codes), Lakes and Ponds, Parks, Roads buffered to 11 feet on each side, Streams buffered to 6 feet on each side and Railroads buffered to 8 feet on each side. Dataset has been dissvoled except for Road Rightaway which has been dissolved by tiles that are used in the PAMAP program. Oldest oblqiue and google streetview was used as well. Intended for illustration and demonstration purposes only
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| York County |
| 2022 |
This layer is all the parcels in York County, PA
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| York County |