"Suffolk County’s Farmland Development Rights program began in 1974 and is the oldest purchase of development rights (PDR) program in the nation. The Suffolk County PDR program continues to be a model for PDR programs across the nation. The farmland PDR program serves many vital functions but most importantly, it ensures that rich, viable agricultural soils and farmland properties within Suffolk County will be preserved permanently for farming use. Suffolk County has successfully protected approximately 11,000 acres of farmland since the program’s inception and over 20,000 acres have been preserved County-wide through a variety of County, Town, and Non-Profit farmland preservation efforts." Please visit the Farmland Preservation website for more information.

This feature class was created by exporting the Census Block Group features from the 2020 TIGER/Line Geodatabase.TIGER Geodatabases are spatial extracts from the Census Bureau’s MAF/TIGER database. These files do not include demographic data, but they contain geographic entity codes that can be linked to the Census Bureau’s demographic data.

This GIS dataset was prepared by the Suffolk County Department of Economic Development and Planning for the Suffolk County Department of Health Services as part of the Suffolk County Subwatersheds Wastewater Plan titled Suffolk County Management Program for the Reduction of Nitrogen Loading from Wastewater Sources. The Department of Economic Development & Planning was asked to provide “parcel-specific buildout land use” for all of Suffolk County. In order to provide parcel-specific buildout land use, the land use for each and every distinct tax map parcel in the Suffolk County Real Property Tax Service Agency Tax Map Album had to be checked and updated. Following this task, parcel-specific land available for residential development was determined, and then residential buildout was calculated.

In addition to parks and trails near stations, the maps include nearby amenities such as:DowntownsMuseumsTheatersHistoric SitesBoat RentalsBike RentalsSkate ParksBeachesBowlingIce SkatingGolfingPlaygroundsBoardwalksBreweriesVineyardsDistilleries

Contour lines for Suffolk County, NY at 5 ft intervals.

This vector dataset provides points that represent significant golf course facility locations in Suffolk County. These courses can be publicly (State, County, Town, Village) or privately owned. This dataset can be linked with the GolfCoursePolygon feature class by the FACILITYID field. In some cases, there may be multiple Golf Course Points for a single Golf Course Polygon. These data are organized for consumption in desktop and web applications.

Geospatial data about Suffolk County, New York Hamlets. Export to CAD, GIS, PDF, CSV and access via API.

This GIS dataset was prepared by the Suffolk County Department of Economic Development and Planning for the Suffolk County Department of Health Services as part of the Suffolk County Subwatersheds Wastewater Plan titled Suffolk County Management Program for the Reduction of Nitrogen Loading from Wastewater Sources. The Department of Economic Development & Planning was asked to provide “parcel-specific buildout land use” for all of Suffolk County. In order to provide parcel-specific buildout land use, the land use for each and every distinct tax map parcel in the Suffolk County Real Property Tax Service Agency Tax Map Album had to be checked and updated. Following this task, parcel-specific land available for residential development was determined, and then residential buildout was calculated.

Suffolk County Shellfish Aquaculture Lease Program in Peconic Bay and Gardiners Bay - Ten Year Review. This application was created for public viewing during the review process.

Vector polygon map data of sewer districts from Suffolk County, New York containing 24 features.

A sewer district, also known as a sanitary district or wastewater district, is a local government agency responsible for managing and maintaining sewer systems within a specific geographical area. These districts are tasked with collecting and treating wastewater and sewage from homes, businesses, and industries to prevent pollution of waterways and protect public health.

Sewer districts typically oversee the construction, operation, and maintenance of sewer pipes, pump stations, treatment plants, and other infrastructure necessary for wastewater management. They may also implement regulations and programs to promote water conservation and pollution prevention within their jurisdiction.

This sewer district data is 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.

These data were automated to provide an accurate high-resolution historical shoreline of Ragged Island Creek to Craney Island West in Suffolk County, VA 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...

Polygons and owner information of airports in Suffolk County, NY.

The county is divided into 18 legislative districts. Every two years, the residents of each of the districts elect a representative to the Legislature. Every 10 years, after each census is tallied, the boundaries of the districts are redrawn according to the redistribution of the population.

This layer shows poverty status by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Poverty status is based on income in past 12 months of survey. This layer is symbolized to show the percentage of the population whose income falls below the Federal poverty line. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B17020, C17002Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

The county is divided into 18 legislative districts. Every two years, the residents of each of the districts elect a representative to the Legislature. Every 10 years, after each census is tallied, the boundaries of the districts are redrawn according to the redistribution of the population.

Boundaries (polygons) of NYS Assembly districts in New York State with name and contact info for each member of the NYS Assembly. Districts based on Legislative Task Force redistricting 2024. Information on representative based on assembly website as of 5-8-2025.Please contact Geospatial Services at nysgis@its.ny.gov if you have any questions.All district boundaries have been clipped to the NYS shoreline. This affects the following counties: Bronx, Cayuga, Chautauqua, Clinton, Erie, Essex, Franklin, Jefferson, Kings, Monroe, Nassau, New York, Niagara, Orleans, Oswego, Queens, Richmond, St. Lawrence, Suffolk, Washington, Wayne, Westchester.

Towns within Suffolk County, NY.

This feature class was created by exporting the Census County Subdivision polygon features from the 2020 TIGER/Line Geodatabase.TIGER Geodatabases are spatial extracts from the Census Bureau’s MAF/TIGER database. These files do not include demographic data, but they contain geographic entity codes that can be linked to the Census Bureau’s demographic data.

Contour lines for Suffolk County, NY at 10ft intervals.

This information mapping tool is a configuration of Web AppBuilder for ArcGIS that can be used by the general public that will identify the storm surge zone for the selected address or location, to assist them with their preparedness planning Learn more