This data set is a spatial representation of municipalities in New Jersey developed by the NJ Office of Information Technology, Office of GIS (NJOGIS) in NJ State Plane Coordinate System (NAD83). It is not a survey document and must not be used as such. The polygons delineated in this data set do not represent legal boundaries. This data set improves upon previous versions of municipal boundaries through the integration of coincident features from several high quality source data sets, as a component of the NJOGIS statewide Parcels Normalization Project concluded in March 2010. Updates continue to be made as necessary.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

This countywide composite of parcels (cadastral) data for Monmouth County represents digitized property boundaries that were developed from best available local and municipal tax maps data. The normalized parcels data are compatible with the New Jersey Department of Treasury MOD-IV system currently used by tax assessors. Stewardship and maintenance of the data continue under the purview of the Monmouth County GIS Office as well as local municipal tax authorities. Parcel attributes were normalized to a standard structure, specified in the New Jersey GIS Parcel Mapping Standard, to store parcel information and provide a PIN (parcel identification number) field common to the PIN that was to be stored in the PAMS (Property Assessment Management System) database to replace the MOD-IV database. Please note that this parcel dataset is not intended for use as tax maps nor for legal purposes. The dataset is intended to provide reasonable representations of parcel boundaries primarily for planning purposes and cartographic representation. Please note cautions when performing a join with this dataset and MOD-IV property records, specifically regarding duplicate and erroneous records. All records may not be provided for in the parcels data or MOD-IV (Tax List Search) tables because of how the data and tables are constructed, or for temporal mismatches. MOD-IV provides for the uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of Taxation. MOD-IV maintains and updates all assessment records, and produces all statutorily required tax lists. These lists account for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel.

© GIS Office, Monmouth County Planning Board, New Jersey.

This data set is a spatial representation of municipalities in New Jersey developed by the New Jersey Office of Information Technology (OIT), Office of Geographic Information Systems (OGIS). It is not a survey document and should not be used as such. The polygons delineated in this data set do not represent legal boundaries. This data set improves upon previous versions of municipal boundaries through the integration of coincident features from several high quality source data sets, as a component of the OGIS statewide Parcels Normalization Project concluded in March 2010. Updates continue to be made as necessary.View the original Municipal Boundaries of NJ data source from NJOGIS. In Fall 2022 The GIS Division held a 2-Day Story Maps and Experience Builder Training for the County's GIS Users. This content is part of the training materials still available to GIS Users.

The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Digital flood-inundation maps for coastal communities within Ocean County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

This parcels dataset is a spatial representation of tax lots for Sussex County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

Vector polygon map data of property parcels from Morris County, New Jersey containing 180,425 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane Coordinate System. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

This parcels dataset is a spatial representation of tax lots for Gloucester County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

Geospatial data about Hudson County, New Jersey Zoning. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Gloucester County, New Jersey Zoning. Export to CAD, GIS, PDF, CSV and access via API.

Development Maps (2023)Series of Maps and Statistics detailing Proposed, Approved, Under Construction, and Completed Development in the City of Jersey City, Hudson County, New Jersey.

Digital flood-inundation maps for coastal communities within Cumberland County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

This parcels data set is a spatial representation of municipal tax lots for Camden County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV (Tax Assessor's) table for the county is packaged together with the parcels as one download. The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

This is a Sanborn map of Red Bank, Monmouth County, New Jersey, shown at a scale of 1:600.

Digital flood-inundation maps for an approximate 7.5-mile reach of the Peckman River in New Jersey, which extends from Verona Lake Dam in the Township of Verona downstream through the Township of Cedar Grove and the Township of Little Falls to the confluence with the Passaic River in the Borough of Woodland Park, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the probable areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Peckman River at Ozone Avenue at Verona, New Jersey (station number 01389534). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/. Flood profiles were sim ...

This data set is a spatial representation of municipalities in New Jersey developed by the NJ Office of Information Technology, Office of GIS (NJOGIS) in NJ State Plane Coordinate System (NAD83), and re-projected to Web Mercator Auxiliary Sphere (EPSG 3857). It is not a survey document and must not be used as such. The polygons delineated in this data set do not represent legal boundaries. This data set improves upon previous versions of municipal boundaries through the integration of coincident features from several high quality source data sets, as a component of the NJOGIS statewide Parcels Normalization Project concluded in March 2010. Updates continue to be made as necessary.

Digital flood-inundation maps for coastal communities within Essex, Hudson, and Union Counties in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for coastal communities within Monmouth County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

This Open Geospatial Consortium (OGC) compliant Web Map Service (WMS) includes a mosaic of historical USGS topographic maps of New Jersey surveyed from 1881 to 1924.