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 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.
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.
The 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. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2018, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
U.S. Government Workshttps://www.usa.gov/government-works
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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 ...
These data were automated to provide an accurate high-resolution historical shoreline of Longport and Ocean City, NJ suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The N...
The official Zoning Map of Jersey City in pdf form is provided below. The latest version is dated 6/3/2025. Interactive Zoning Map
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. The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file 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 CDPs are based on those delineated or updated as part of the the 2023 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
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U.S. Census Bureau QuickFacts statistics for Lyndhurst township, Bergen County, New Jersey. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
The New Jersey Department of Community Affairs' "New Jersey Community Asset Map" is an interactive mapping tool that allows users to view community assets, amenities, and special designations throughout New Jersey. It also contains relevant economic, housing, and demographic information for each municipality. It is intended to help users gain a better understanding of the characteristics and amenities of New Jersey’s 564 municipalities and to identify appropriate types of investment and development to spur economic revitalization.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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.
U.S. Government Workshttps://www.usa.gov/government-works
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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 ...
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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.
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U.S. Census Bureau QuickFacts statistics for Woodbridge township, Middlesex County, New Jersey. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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This data set presents the locations of malls within two New Jersey counties, Bergen and Morris. When NJ counties are ranked per capita income, Morris County is found second on the list and Bergen County is found fourth. Having residents with higher incomes can increase spending at shopping malls. This could explain why Paramus, in Bergen County, is the town with the most malls in the state. One of the major malls found here is the Garden State Plaza Mall which is the most earning mall in NJ, worth more than 2.7 billion. As well as this, the presence of malls in communities can increase development in the area which can lead to higher property values and additional economic activity.
The data was gathered using the Google website. The data includes the locations and names of the shopping malls in Bergen and Morris Counties in New Jersey. The total number of the shopping malls in these two counties is 16. Bergen County has 7 shopping malls and Morris County has 9 shopping malls.
In total, there are 16 malls in the two counties - Bergen and Morris Counties. Bergen County has 7 shopping malls, while Morris County has 9 shopping malls. Bergen County has 43% of the total malls in the two counties. Morris County has 56% of the total malls.
Having a map that shows the locations of New Jersey malls could lead to a deeper understanding of the area that they are found in. The presence of malls can often indicate higher income areas, especially in cases where there are several malls found in one particular area. As well as this, a mall can bring in a lot of tax revenue to the state which can aid in overall economic growth. While the tax revenue itself can aid in the growth, the presence of malls can also accomplish this indirectly. Oftentimes, having a mall in a town brings more businesses and infrastructure to the area which can increase the area's income, employment, and economic stability.
Data includes: map with the locations and an Excel Sheet with names, addresses, and coordinate points of the shopping malls.
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.