Geospatial data about Brunswick County, North Carolina Zoning. Export to CAD, GIS, PDF, CSV and access via API.

Land, building and total market value for Brunswick County Tax Parcels for tax year 2022, as of January 1, 2022.Note: These values represent market values as determined by the Brunswick County Tax Office, as of January 1, 2022. These values do not represent assessed value, and may change at any time.

This point layer represents all addresses assigned by Brunswick County as well as addresses assigned by municipalities within the county. County addresses may be permanent (representing an actual addressable structure) or temporary (created based on a site plan or future intent for an addressable structure).

Land, building and total market value for Brunswick County Tax Parcels for tax year 202, as of January 1, 2024.Note: These values represent market values as determined by the Brunswick County Tax Office, as of January 1, 2024. These values do not represent assessed value, and may change at any time.

Brunswick County parcels along with associated Tax data

Election District data current as of May 2024Parcel data current as of October 2023Spatial Reference of Source Data: NAD 83 State Plane – New York East.Spatial Reference of Web Service: WGS 1984 Web Mercator Auxiliary Sphere.Contact Information:Jolene WeidlichGIS ManagerRensselaer County Bureau of Tax Services99 Troy RdEast Greenbush, NY 12061(518)270-2682JWeidlich@rensco.com

This dataset shows schools in the form of their parcels within the WMPO's planning area. WMPO's planning area includes all of New Hanover County along with portions of Brunswick County and Pender County. The schools highlighted in this data are public, private, charter, and university/community colleges. Child development and daycare centers are not included. The data was derived from imagery and parcels.

Building footprints within Brunswick County. This layer was provided by the NC Department of Public Safety Emergency Management Division and derived from Lidar data collected in 2014.

Mapping the distribution of different bottom habitats is critical to effectively protect and manage estuarine resources. Because of this and to aid in facilitating shellfish harvest and aquaculture, the Division of Marine Fisheries maps and samples the benthic habitats within shellfish growing areas to determine habitat type, acreage and abundance of oysters, clams, scallops and submerged aquatic vegetation. To date, the division has mapped over 602,000 acres of the coastal estuarine waters from Little River in Brunswick County to the northern end of Roanoke and Croatan sounds in Dare County.

City of Brunswick boundary polygon.

This data includes Maryland Area Regional Commuter (MARC) Brunswick Line commuter train track within Montgomery County. The data is derived from the TEBS street centerline data. For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

EagleView acquired highly accurate Light Detection and Ranging (LiDAR) elevation data for Middlesex County, NJ in April 2017 and May 2017. This dataset represents Middlesex County, NJ. The area of interest is comprised of approximately 343 square miles. Data is in NAD_1983_2011_StatePlane_New_Jersey_FIPS_2900_Ft_US, NAVD88 Geoid12B, US survey Feet. LiDAR for this dataset was classified and quality controlled by EagleView. Digital Elevation Models, Contours, and Hydrographic breaklines were generated by Ground Point and subsequently quality controlled by EagleView. LiDAR nominal point spacing was 0.387 meters and point density was 6.674 points per square meter. The RMSEz was computed to be 0.09 meters. AccuracyZ has been tested to meet 18.2 cm Fundamental Vertical Accuracy at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (3DEP)/ASPRS Guidelines. LiDAR data meets USGS Quality Level 2 (QL2) standards. Contours were derived from LiDAR.

This dataset represents 2 foot contour lines in New Brunswick, Middlesex County, NJ.This data was provided in a deliverable with several other elevation projects in 2017 by EagleView. See below for more information:EagleView acquired highly accurate Light Detection and Ranging (LiDAR) elevation data for Middlesex County, NJ in April 2017 and May 2017. This dataset represents Middlesex County, NJ. The area of interest is comprised of approximately 343 square miles. Data is in NAD_1983_2011_StatePlane_New_Jersey_FIPS_2900_Ft_US, NAVD88 Geoid12B, US survey Feet. LiDAR for this dataset was classified and quality controlled by EagleView. Digital Elevation Models, Contours, and Hydrographic breaklines were generated by Ground Point and subsequently quality controlled by EagleView. LiDAR nominal point spacing was 0.387 meters and point density was 6.674 points per square meter. The RMSEz was computed to be 0.09 meters. AccuracyZ has been tested to meet 18.2 cm Fundamental Vertical Accuracy at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (3DEP)/ASPRS Guidelines. LiDAR data meets USGS Quality Level 2 (QL2) standards. Contours were derived from LiDAR.

EagleView acquired highly accurate Light Detection and Ranging (LiDAR) elevation data for Middlesex County, NJ in April 2017 and May 2017. This dataset represents Middlesex County, NJ. The area of interest is comprised of approximately 343 square miles. Data is in NAD_1983_2011_StatePlane_New_Jersey_FIPS_2900_Ft_US, NAVD88 Geoid12B, US survey Feet. LiDAR for this dataset was classified and quality controlled by EagleView. Digital Elevation Models, Contours, and Hydrographic breaklines were generated by Ground Point and subsequently quality controlled by EagleView. LiDAR nominal point spacing was 0.387 meters and point density was 6.674 points per square meter. The RMSEz was computed to be 0.09 meters. AccuracyZ has been tested to meet 18.2 cm Fundamental Vertical Accuracy at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (3DEP)/ASPRS Guidelines. LiDAR data meets USGS Quality Level 2 (QL2) standards. Contours were derived from LiDAR.