NJDOT has revised the New Jersey urban area based upon the 2010 U.S. Census urban area boundaries. The U.S. Census defines an Urban Area as any area with a population >= 2,500. Under the Urban Area definition, Urban Clusters contain a population of 2,500-49,999 and Urbanized Areas are >= 50,000. FHWA, however, has slightly different criteria for what defines an urban area. Under FHWA, an Urban Area is >= 5,000, with Small Urban Areas 5,000-49,999 and Urbanized Areas >= 50,000. NJDOT followed the FHWA urban area definitions for this urban area update. To perform this update, NJDOT first combined the 2000 NJDOT urban area with the 2010 US Census urban areas greater than 5,000 in population. Since census urban area boundaries are based upon census block boundaries, which can be irregular, NJDOT extended outward the urban area ("smoothed") to the nearest road, stream, political boundary, or manmade feature using the 2012 NJ orthophotos as a base map. Where there was no obvious boundary to smooth to, the census boundary was retained. NJDOT also expanded the urban area to include any densely developed areas not included in the 2000 NJDOT urban area or 2010 Census urban areas.The urban area update underwent a thorough public review and comment period. Representatives from NJDOT, all 21 counties, and the 3 metropolitan planning organizations (NJTPA, SJTPO, and DVRPC) met during various phases of the project to review the updated urban area. All comments were logged into an Urban Area Comment Tracking Form, and an official NJDOT response was provided for each comment.In 2017, minor revisions were made to the urban area based upon comments from FHWA. These revisions were limited in scope and consisted of the following: 1) Adjusted boundary breaks within the urban area so that each Census urban area was only within one NJDOT urban area. 2) Delineated the Poughkeepsie--Newburgh, Mystic Island, and Newton urban areas within the NJDOT urban area. 3) Removed the Belvidere, Milford, and Maurice River urban areas. 4) Merged Upper Greenwood Lake urban area with Poughkeepsie urban area; merged Laurel Lake urban area with Vineland urban area; and merged Woodstown urban area with Philadelphia urban area. 5) Added small portions of the Census urban area (previously omitted from the NJDOT urban area due to smoothing), to the NJDOT urban area to ensure all Census urban areas with a population > 5,000 within the official NJ state boundary were included.

NJDOT has revised the New Jersey urban area based upon the 2020 U.S. Census urban area boundaries. The U.S. Census defines an Urbanized Area as any area with a population >= 5,000. Under the 2020 Urban Area definition, Urban Clusters are no longer a classification. FHWA, however, has slightly different criteria for what defines an urban area. Under FHWA, an Urban Area is >= 5,000, with Small Urban Areas 5,000-49,999 and Urbanized Areas >= 50,000. NJDOT followed the FHWA urban area definitions for this urban area update. To perform this update, NJDOT used the 2020 US Census urban areas greater than 5,000 in population. Since census urban area boundaries are based upon census block boundaries, which can be irregular, NJDOT extended outward the urban area ("smoothed") to the nearest road, stream, political boundary, or manmade feature. When a roadway is used as the adjusted boundary, the following buffers will be applied to include the right of way of the roadway: 50’ from undivided roadway centerlines (single centerline) and 80’ from divided roadway centerlines (dual centerline). Where there was no obvious boundary to smooth to, the census boundary was retained. NJDOT also expanded the urban area to include any densely developed areas not included in the 2020 census urban areas. The urban area update underwent a thorough public review and comment period. Representatives from NJDOT and the 3 metropolitan planning organizations (NJTPA, SJTPO, and DVRPC) met during various phases of the project to review the updated urban area. All comments were logged into an Urban Area Comment Tracking Form, and an official NJDOT response was provided for each comment. Further revisions were made to the urban area based upon comments from FHWA. These revisions were limited in scope and consisted of the following: 1) Smoothed the urban boundary outward at water boundaries: 1000’ from corporate boundary / shoreline for coastal areas and 500’ from corporate boundary / shoreline for bay areas. 2) Utilize Census State Boundary for the state boundary except for coastal boundaries.

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.

The 2019 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 records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

Estimation of Future Percent Flooding within Urban Areas per Census Block Group for the New Jersey Environmental Justice Mapping Tool. Estimates represents a potential scenario of urban flood conditions due to climate change projections (2020 New Jersey Scientific Report on Climate Change, Chapter 4.3 Sea – Level Rise). This layer was developed by combining 1) Tidal Climate Adjusted Flood Elevation for New Jersey (approximate delineation of additional 5 foot flood water height added to the FEMA coastal Special Flood Hazard Area 12/01/2013 to 12/31/2016) with 2) the inland FEMA Statewide Combined Flood Hazard Maps (1% (100-Year)/ 0.2% (500-Year) Flood Hazard Areas 2019). This Statewide Future Flood Hazard Areas were than clipped to Urban Areas (2015) with Census Block Group (2019) ID attribute added.

NJDOT has revised the New Jersey urban area based upon the 2010 U.S. Census urban area boundaries. The U.S. Census defines an Urban Area as any area with a population >= 2,500. Under the Urban Area definition, Urban Clusters contain a population of 2,500-49,999 and Urbanized Areas are >= 50,000. FHWA, however, has slightly different criteria for what defines an urban area. Under FHWA, an Urban Area is >= 5,000, with Small Urban Areas 5,000-49,999 and Urbanized Areas >= 50,000. NJDOT followed the FHWA urban area definitions for this urban area update. To perform this update, NJDOT first combined the 2000 NJDOT urban area with the 2010 US Census urban areas greater than 5,000 in population. Since census urban area boundaries are based upon census block boundaries, which can be irregular, NJDOT extended outward the urban area ("smoothed") to the nearest road, stream, political boundary, or manmade feature using the 2012 NJ orthophotos as a base map. Where there was no obvious boundary to smooth to, the census boundary was retained. NJDOT also expanded the urban area to include any densely developed areas not included in the 2000 NJDOT urban area or 2010 Census urban areas.The urban area update underwent a thorough public review and comment period. Representatives from NJDOT, all 21 counties, and the 3 metropolitan planning organizations (NJTPA, SJTPO, and DVRPC) met during various phases of the project to review the updated urban area. All comments were logged into an Urban Area Comment Tracking Form, and an official NJDOT response was provided for each comment.In 2017, minor revisions were made to the urban area based upon comments from FHWA. These revisions were limited in scope and consisted of the following: 1) Adjusted boundary breaks within the urban area so that each Census urban area was only within one NJDOT urban area. 2) Delineated the Poughkeepsie--Newburgh, Mystic Island, and Newton urban areas within the NJDOT urban area. 3) Removed the Belvidere, Milford, and Maurice River urban areas. 4) Merged Upper Greenwood Lake urban area with Poughkeepsie urban area; merged Laurel Lake urban area with Vineland urban area; and merged Woodstown urban area with Philadelphia urban area. 5) Added small portions of the Census urban area (previously omitted from the NJDOT urban area due to smoothing), to the NJDOT urban area to ensure all Census urban areas with a population > 5,000 within the official NJ state boundary were included.

description: The Paterson, New Jersey EnviroAtlas Meter-Scale Urban Land Cover (MULC) data comprises approximately 66 km2 around the city of Paterson. The land cover data were generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m pixel size. Imagery was collected in July 2010. Five land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, and grass and herbaceous non-woody vegetation. An accuracy assessment of 500 completely random and 64 stratified random reference points yielded an overall user's accuracy (MAX) of 86.9% and an overall fuzzy user's accuracy (RIGHT) of 92.5%. For more information on our accuracy assessment see the overview section. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).; abstract: The Paterson, New Jersey EnviroAtlas Meter-Scale Urban Land Cover (MULC) data comprises approximately 66 km2 around the city of Paterson. The land cover data were generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m pixel size. Imagery was collected in July 2010. Five land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, and grass and herbaceous non-woody vegetation. An accuracy assessment of 500 completely random and 64 stratified random reference points yielded an overall user's accuracy (MAX) of 86.9% and an overall fuzzy user's accuracy (RIGHT) of 92.5%. For more information on our accuracy assessment see the overview section. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset presents environmental benefits of the urban forest in 107 block groups in Paterson, New Jersey. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: air temperatureUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Air Temperature and Evening Air Temperature. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Afternoon Air Temperature Observations in Floating-Point (°F)

The National Land Cover Database 2001 urban imperviousness layer was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. This landcover map and all documents pertaining to it are considered 'provisional 'until a formal accuracy assessment can be conducted. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to http://www.mrlc.gov/. The NLCD 2001 is created by partitioning the U.S. into mapping zones. A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge matching features and the size requirement of Landsat mosaics. Zone 13 (the northeastern U.S.) consists of mapping zones 60, 61, 63, 64, 65, and 66, which collectively encompasses the entirety of Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, Delaware, and Maryland, as well as portions of Pennsylvania, West Virginia, Virginia, and North Carolina.

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: air temperatureUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Afternoon Air Temperature and Evening Air Temperature. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Morning Air Temperature Observations in Floating-Point (°F)

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: heat indexUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Afternoon Heat Index and Evening Heat Index. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Morning Heat Index Observations in Floating-Point (°F)

Map of New Jersey showing Municipal boundaries, Tax Parcel information, State and Federal Legislative Districts, Targeted Urban Municipalities and HUD-designated Urban Target, Difficult to Develop, and Qualified Census Tract Areas.Updated for 2022 Legislative and Congressional Districts.

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.

Starting with all municipalities with populations greater than 10,000, municipalities are then defined as having a housing density greater than 2 times the state housing density OR wholly/partially containing a census tract with housing density greater than 4 times the state housing density. The resulting municipalities are then ranked by Municipal Revitalization Index (MRI) Distress Score. Municipalities with MRI Distress score greater than 50 are targeted. Municipalities with MRI Distress score greater than 30 but less than 50 are ranked by greatest Jobs to Housing Unit Ratio. The top 10% of municipalities (i.e., the first 57 on the ranked list) are then defined as Targeted Urban Municipalities. Data is for the year 2022.

This dataset contains the boundaries of Critical Environmental and Historic Sites (CEHS2) of the NJ State Development and Redevelopment Plan (NJSDRP). CEHS's are areas, generally less than one square mile, which include one, or more, environmentally or historically sensitive features and are recognized by the State Planning Commission. CEHS locations were submitted by county and local entities. All sites submitted were accepted, with minimal requirement for documentation. Refer to the NJSDRP for further description of the geographic nature of CEHS's.

In this web map created I wanted to focus on the state of New Jersey since 2 of its cities are very high in crime in the United States. Camden and Trenton in Particular are the highest crime rates in New Jersey. I was able to create this web map by showing the police departments in the most dangerous parts of the cities which is shown by the darker the red gets the more dangerous it gets in these parts of the state

The "Brownfield and Contaminated Site Remediation Act" (N.J.S.A. 58:10B-1 et seq.) requires the Department of Environmental Protection to map regions of the state where large areas of historic fill exist and make this information available to the public. This GIS layer depicts areas of historic fill covering more than approximately 5 acres. For the purposes of this layer, historic fill, as defined at N.J.A.C. 7:26E-1.8, means, “non-indigenous material, deposited to raise the topographic elevation of the site, which was contaminated prior to emplacement, and is in no way connected with the operations at the location of emplacement and which includes, without limitation, construction debris, dredge spoils, incinerator residue, demolition debris, fly ash, or nonhazardous solid waste. Historic fill material does not include any material that is substantially chromate chemical production waste or any other chemical production waste or waste from processing of metal or mineral ores, residues, slag or tailings. In addition, historic fill material does not include a municipal solid waste landfill site.” The information in the layer makes no determination whether the material was contaminated prior to emplacement. This layer can be used as one line of evidence for an investigator’s professional judgment in determining that historic fill is present at a site; however, an investigation must still be completed in accordance with the Technical Requirements for Site Remediation at N.J.A.C. 7:26E-4.7. Also see the Historic Fill Technical Guidance for more information regarding the investigation and remediation of historic fill at: https://dep.nj.gov/srp/guidance/. This data was mapped at a scale of 1:24,000 (1 inch represents 2000 feet) and is not intended for use at more-detailed scales. Fill was mapped from stereo aerial photography taken in March 1979, supplemented in places by planimetric aerial photography taken in the spring of 1991 and 1992. Additional areas of fill were mapped by comparing areas of swamp, marsh, and floodplain shown on archival topographic and geologic maps on file at the N. J. Geological Survey, dated between 1840 and 1910, to their modern extent. In a few places, fill was mapped from field observations and from drillers’ logs of wells and borings. Most urban and suburban areas are underlain by a discontinuous layer of excavated indigenous soil mixed with varying amounts of non-indigenous material. This material generally does not meet the definition of historic fill and is not depicted on this map. Also, there may be historic fills that are not detectable on aerial photography or by archival map interpretation and so are not shown on this map, particularly along streams in urban and suburban areas. As of this January 2016 edition, twelve new quadrangles were added to the statewide coverage. They are Allentown, Beverly-Frankford, Brookville, Canton-Taylors Bridge, Chatsworth, Forked River- Barnegat Light, Indian Mills, Keswick Grove, Lambertville, Millville, and Woodmansie. As of this March 2025 edition, eight new quadrangles were added to the statewide coverage. They were Cassville, Lakehurst, Oswego Lake, Jenkins, Atsion, Bridgeton, Whiting, and Lakewood. Seven quadrangles have been revised. They are Trenton East, Trenton West, Pennington, Lambertville, Rocky Hill, Ship Bottom, Point Pleasant, and Califon.

This data set is a spatial representation of Areas in Need of Rehabilitation. Areas in Need of Rehabilitation are defined and mapped through the redevelopment process as defined and governed by statutory requirements. These requirements are in turn molded by court decisions that affect the way the laws are applied. An amendment to the Local Redevelopment and Housing Law (LRHL), effective as of July 9, 2003, requires municipalities provide the DCA Commissioner with a governing body resolution determining that a delineated area, or any part thereof, is a rehabilitation area for review. Prior to that date, there was no reporting requirement and no mechanism in place to track or record Area in Need of Rehabilitation determinations. While outreach was conducted to obtain information on determinations made prior to the statutory amendment, not all municipalities responded, and it is therefore not possible to establish the extent to which the data in this file are comprehensive. Statute Reference: N.J.S.A. 40A:12A-1 et seq. Commonly referred to as the Local Redevelopment and Housing Law (LRHL).

This data set is a spatial representation of Areas in Need of Redevelopment. Areas in Need of Redevelopment are defined and mapped through the redevelopment process as defined and governed by statutory requirements. These requirements are in turn molded by court decisions that affect the way the laws are applied. An amendment to the Local Redevelopment and Housing Law (LRHL), effective as of July 9, 2003, requires municipalities provide the DCA Commissioner with a governing body resolution determining that a delineated area, or any part thereof, is a redevelopment area for review. Prior to that date, there was no reporting requirement and no mechanism in place to track or record Area in Need of Redevelopment determinations. While outreach was conducted to obtain information on determinations made prior to the statutory amendment, not all municipalities responded, and it is therefore not possible to establish the extent to which the data in this file are comprehensive. An amendment to the LRHL, effective as of September 6, 2013, requires municipalities specify whether or not the use of eminent domain is authorized within an area determined to be in need of redevelopment. Areas where the use of eminent domain powers are authorized are referred to as “Condemnation Redevelopment Areas” and areas where the use of eminent domain powers are not authorized are referred to as “Non-Condemnation Redevelopment Areas.” The attribute field “CONDEMN” was added to capture this distinction. Statute Reference: N.J.S.A. 40A:12A-1 et seq. Commonly referred to as the Local Redevelopment and Housing Law (LRHL).