The official Zoning Map of Jersey City in pdf form is provided below. The latest version is dated 6/3/2025. Interactive Zoning Map

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

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

This layer contains links to online municipal zoning maps, zoning ordinances and zoning office contact information and known to the Department of Community Affairs as of March 9, 2022. These may not include all maps and ordinances currently in effect as the frequency of zoning map code updates varies by local government. The Department of Community Affairs cannot confirm the currentness or accuracy of these documents and provides these links as an information resource for the public. Questions about these maps and ordinances should be directed to the appropriate zoning officer or official.

To illustrate zoning in Monmouth County.Contact:Eric Anderson;Monmouth County, New Jersey, GIS Division, Information Technology Services;(732) 431-7991 ext. 2194;eanderso@co.monmouth.nj.us

This dataset represents the Zoning Base layer for the 25 municipalities in Middlesex County. This is the default zoning district. Where overlay zoning exists, this is the underlying zoning. The Middlesex County Zoning Base GIS dataset was developed to standardize zoning maps, which are legally adopted by municipalities, and thus exhibit varying levels of detail, accuracy, and currentness, and vary in style. For the Overlay Zoning, see the related Overlay Zoning in Middlesex County, NJ item. See metadata items for more information.This dataset is updated several times per year based on best available information available from municipalities in Middlesex County. For authoritative information, contact the municipality. Municipal governments designate and administer zoning in New Jersey. This data is for information only and final decision making should only occur after consulting with municipalities to confirm the information contained in this dataset.

This dataset represents the Zoning Overlay layer for the 25 municipalities in Middlesex County. These districts are applied over one or more underlying base zoning districts, establishing supplementary zoning standards and criteria for covered properties in addition to the zoning standards and criteria of the underlying base zoning district. Overlay zoning districts may be used by the municipality as a means to promote specific types of development projects that are intended to meet specific community goals. They also may be implemented to protect special features such as wetlands, steep slopes, environmentally sensitive areas and/or historic buildings (etc.). An overlay zoning district can share common boundaries with base zoning boundaries or may cut across base zoning district boundaries. The Middlesex County Zoning Overlay GIS dataset was developed to standardize zoning maps, which are legally adopted by municipalities, and thus exhibit varying levels of detail, accuracy, and currentness, and vary in style. For the Zoning Base layer, see the related Base Zoning in Middlesex County, NJ item. See metadata items for more information.This dataset is updated several times per year based on best available information available from municipalities in Middlesex County. For authoritative information, contact the municipality. Municipal governments designate and administer zoning in New Jersey. This data is for information only and final decision making should only occur after consulting with municipalities to confirm the information contained in this dataset.

Represents the base zoning districts in Middlesex County. This is the default zoning district. Where overlay zoning exists, this is the underlying zoning. See adZoningOverlay. The layer was initially created using heads up zoning techniques. MCOP staff attempted to interpret paper zoning maps from the municipalities, using NJDOT road layers, aerial photography, and the NJDEP stream midpoint layers as guides. In March and April 2012 the county neared completion of the countywide tax parcel layer, and so a systematic overhaul of the zoning layer was undertaken to substantially improve the accuracy of the linework. Corecting the lines was undertaken by attempting to snap the old linework to the parcel layer using a cut and merge technique. In addition to the above efforts, MCOP staff has attempted to maintain the layer in an ongoing fashion to reflect densities represented in new zoning ordinances and redevelopment areas. This has required some interpretation of plans on the part of staff members. In 2017, base zoning was seperated from base zoning and placed in a seperate feature class.

The purpose of developing parcel-referenced digital zoning dataset is to provide an accurate information about the zoning regulations and designations within Somerset County, New Jersey. The dataset depicts boundaries and attributes of different zoning districts, such as residential, commercial, industrial, agricultural, and mixed-use zones. By utilizing the GIS dataset, urban planners, developers, policymakers, and other stakeholders can visualize and analyze the spatial distribution of zoning regulations. It helps them understand the existing land-use patterns, identify suitable locations for various types of development, evaluate compliance with zoning regulations, and make informed decisions regarding land use planning, development proposals, and policy changes. Additionally, combining zoning data with other spatial datasets, such as transportation networks, population demographics, or environmental data, can provide valuable insights for comprehensive planning and decision-making processes.

These are two land cover datasets derived from Landsat Thematic Mapper and Operational Land Imager (spatial resolution 30-m)Path 014 and Rows 032 and 033 surface reflectance data collected on July 14, 2011 and July 19, 2013, before and after Hurricane Sandy made landfall near Brigantine, New Jersey on October 29, 2012. The two land cover data sets provide a means of evaluating the effect of Hurricane Sandy of data sets collected at times that represent or approach peak vegetation growth. The most accurate results of the land cover classification are based on twelve classes, some of which occur adjacent to the marshes but not on the New Jersey intracoastal marshes. Twelve classes were used in the supervised maximum likelihood classification of the intracoastal marshes, three classes (forested wetlands, unconsolidated beach sediment and urban development areas) which occur only adjacent to the marshes, were masked out on the land cover maps. The twelve classes are based on the National Oceanic and Atmospheric Administration Coastal Change Analysis Program (C-CAP) and the New Jersey Department of Environmental Protection 2007 Land Use/Land Cover Data Set classes that could be identified on the Landsat TM surface reflectance bands 3-5 and Landsat OLI surface reflectance bands 4-6, and field work in 2014 and 2015. There is considerable confusion between classes due to the variation in the species and density of cover of vegetation, variation in the composition and density of the vegetation, variation in the composition and amount of the marsh substrate detected by the sensor, and the variation in tidal stage which strongly influences the surface reflectance of the pixel (Kearney et al. 2009). However, the identification of high marsh appears to be accurate based on field work validation. The high marsh contains one-to-three-meter-wide areas of low marsh that border the bays and lagoons and tidal creeks in the marshes, but that are too small to resolve with the Landsat sensors. Kearney, M.S., Stutzer, D.S., Turpie, K., and Stevenson, J.C. (2009) Spectral properties of marsh vegetation under inundation. Journal of Coastal Research 25: 1177-1186.

These rasters provide the local mean annual extreme low temperature from 1976 to 2005 in an 800m x 800m grid covering the USA (including Puerto Rico) based on interpolation of data from more than a thousand weather stations. Each location's Plant Hardiness Zone is calculated based on classifying that temperature into 5 degree bands. The classified rasters are then used to create print and interactive maps. A complex algorithm was used for this edition of the USDA Plant Hardiness Zone Map (PHZM) to enable more accurate interpolation between weather reporting stations. This new method takes into account factors such as elevation changes and proximity to bodies of water, which enabled mapping of more accurate zones.Temperature station data for this edition of the USDA PHZM came from several different sources. In the eastern and central United States, Puerto Rico, and Hawaii, nearly all the data came from weather stations of the National Weather Service. In the western United States and Alaska, data from stations maintained by USDA Natural Resources Conservation Service, USDA Forest Service, U.S. Department of the Interior (DOI) Bureau of Reclamation, and DOI Bureau of Land Management also helped to better define hardiness zones in mountainous areas. Environment Canada provided data from Canadian stations, and data from Mexican stations came from the Global Historical Climate Network.All of these data were carefully examined to ensure that only the most reliable were used in the mapping. In the end, data from a total of 7,983 stations were incorporated into the maps. The USDA PHZM was produced with the latest version of PRISM, a highly sophisticated climate mapping technology developed at Oregon State University. The map was produced from a digital computer grid, with each cell measuring about a half a mile on a side. PRISM estimated the mean annual extreme minimum temperature for each grid cell (or pixel on the map) by examining data from nearby stations; determining how the temperature changed with elevation; and accounting for possible coastal effects, temperature inversions, and the type of topography (ridge top, hill slope, or valley bottom).Information on PRISM can be obtained from the PRISM Climate Group website (http://prism.oregonstate.edu).Once a draft of the map was completed, it was reviewed by a team of climatologists, agricultural meteorologists, and horticultural experts. If the zone for an area appeared anomalous to these expert reviewers, experts doublechecked for errors or biases.For example, zones along the Canadian border in the Northern Plains initially appeared slightly too warm to several members of the review team who are experts in this region. It was found that there were very few weather reporting stations along the border in the United States in that area. Data from Canadian reporting stations were added, and the zones in that region are now more accurately represented. In another example, a reviewer noted that areas along the relatively mild New Jersey coastline that were distant from observing stations appeared to be too cold. This was remedied by increasing the PRISM algorithm’s sensitivity to coastal proximity, resulting in a mild coastal strip that is more consistently delineated up and down along the shoreline.On the other hand, a reviewer familiar with Maryland’s Eastern Shore thought the zones there seemed too warm. The data were doublechecked and no biases were found; the zone designations remained unchanged.The zones in this edition were calculated based on 1976-2005 temperature data. Each zone represents the average annual extreme minimum temperature for an area, reflecting the temperatures recorded for each of the years 1976-2005. This does not represent the coldest it has ever been or ever will be in an area, but it reflects the average lowest winter temperature for a given geographic area for this time period. This average value became the standard for assigning zones in the 1960s. The previous edition of the USDA Plant Hardiness Zone Map, which was revised and published in 1990, was drawn from weather data from 1974 to 1986.A detailed explanation of the mapmaking process and a discussion of the horticultural applications of the new PHZM are available from the articles listed below.Daly, C., M.P. Widrlechner, M.D. Halbleib, J.I. Smith, and W.P. Gibson. 2012. Development of a new USDA Plant Hardiness Zone Map for the United States. Journal of Applied Meteorology and Climatology, 51: 242-264. Link to articleWidrlechner, M.P., C. Daly, M. Keller, and K. Kaplan. 2012. Horticultural Applications of a Newly Revised USDA Plant Hardiness Zone Map. HortTechnology, 22: 6-19. Link to article

Aerial imagery is an essential tool for planning and analysis. It presents a comprehensive view of regional conditions. Having access to aerial imagery from various years provides the user with a chronological record of land use patterns. Aerials have been an important component of DVRPC's planning efforts for many years. They are also a popular source of information for consultants, developers, engineers, realtors, and the general public.

Orthoimagery consists of rectified or geometrically corrected aerial images that have been processed so that any distortions stemming from topographic relief and camera position are removed. This results in an accurate representation of the Earth's surface. Due to its uniform scale, distances between features can be measured on an orthoimage. Where these features touch the ground, they are shown in their true x and y map position.

Available for the years 2000 through 2020 in five-year increments

• Covers the entire 3,833 square mile DVRPC 9-county region (Bucks, Chester, Delaware, Montgomery, and Philadelphia counties in Pennsylvania and Burlington, Camden, Gloucester, and Mercer counties in New Jersey)
• The 2000 orthoimagery is grayscale with a 1.5 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
• The 2005 and 2010 orthoimagery is 3-band, natural color, with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
• The 2015 orthoimagery is 4-band (allows for display in either natural color or color infrared) with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
• The 2000, 2005, 2010 and 2015 orthoimagery tiles are referenced to their respective State Plane map coordinate system (either NJ State Plane NAD83 or PA State Plane South Zone NAD83)
• Each orthoimagery tile covers approximately 1.6 square miles of land area; Using Geographic Information System (GIS) software, individual tiles can be viewed together as a seamless mosaic of a larger area
• The 2020 orthoimagery is 3-band, natural color with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'; Available as county mosaics in JPEG 2000 format referenced to UTM Zone 18N - NAD83 (2011)

A better understanding of sediment dynamics in coastal areas can be attained by mapping the surface sediment distribution and subsurface stratigraphy of the lower shoreface and inner-continental shelf. In 1995, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, began a program to produce geologic maps of the sea floor throughout the New York Bight Apex using high-resolution sidescan-sonar, subbottom profiling, and sediment sampling techniques. The goals of the investigation are to investigate the role that inner-shelf morphology and geologic framework play in the evolution of the coastal region.

Implementation of the Highlands Regional Master Plan will be guided by the Highlands Land Use Capability Zone Map that, through the identification of geographic zones, provides for a comprehensive evaluation of both resource constraints and development opportunity. It addresses the potential for conflict between natural resource protection and economic growth by identifying constraints and capacity limitations of land and infrastructure, and identify those areas within the Highlands that can best support appropriate and varying levels of development activity. This version of the Land Use Capability Zones was updated using NJ-DEP's 2020 Land Use Land Cover and adopted on June 3, 2024: see the metadata record for more information.

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. This product is to be used for reference purposes only. The original historical paper maps were distorted or damaged to varying degrees due to age and use. During visual testing, it appeared that spatial inaccuracies in the images exceed 200 feet in several locations. The digital product has not been corrected for distortion nor vertical displacement. Consequently, this product does not meet the National Standard for Spatial Data Accuracy (NSSDA). The mosaic was produced by scanning 15 minute (1:62,500 scale) historical USGS topographic paper maps at 600 dpi and saving them as Tagged Image File Format (TIFF) images. The scanned TIFFs have an approximate pixel resolution of 17 feet. The map images were georeferenced to a fishnet in their native coordinate system and then reprojected to NAD83 NJ State Plane coordinates for use in this service. In most client software, the default spatial reference system of the service will be Geographic Coordinates, WGS84. Several other coordinate systems are supported natively by the WMS (see Supplemental Information).

This layer depicts the Municipal Zoning Boundaries of Sussex County. It was compiled from various scale zoning maps as provided by the townships.

Feature layer generated from running the Merge Layers solution.

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.

This dataset provides the municipal land use zoning within the Pinelands Area.

NJ Division of Fish & Wildlife (DFW) manages deer herd in New Jersey through the use of deer management zones (DMZ). The Division, under authority of the Fish and Game Council designates these boundaries. Deer Management Zone boundaries are comprised of major and minor roads, waterways and geographic formations. Included for references are the county and township data. DMZs are updated on an as needed basis. New Jersey's deer herd is a major component of the landscape throughout all but the most urbanized areas of the state. Deer affect our forests, farms, gardens, backyards and roadways. From a population reduced to a handful of deer in the early 1900s they rebounded during the 20th Century to a thriving herd today. A healthy deer herd, managed at levels that are compatible with current land use practices and the human population, has great value to the people of the state. Deer are photographed, watched and hunted by many in New Jersey and visitors from elsewhere. Deer hunters spend more than 100 million dollars each year as they enjoy approximately 1.5 million recreation-days hunting deer. Money spent in the course of deer hunting benefits a wide variety of New Jersey businesses. Please visit http://www.njfishandwildlife.com/ for more information and detailed instructions pertaining to permit/license issues.