North Carolina State Boundary

The North Carolina State and County Boundary vector polygon data provides location information for North Carolina State and County Boundary lines derived from the best available survey and/or Geographic Information System (GIS) data. Sources for information are the North Carolina Geodetic Survey (NCGS), NC Department of Transportation (NCDOT), United States Geological Survey (USGS), and field surveys conducted by licensed surveyors in North Carolina and neighboring states that have been approved and recorded in their respective counties. North Carolina Geodetic Survey assists counties on a cooperative basis (NC General Statute 153A-18) in defining and monumenting the location of uncertain or disputed boundaries as established by law. Some counties have completed boundary surveys for at least a portion of their county boundary. However, the majority of county boundaries have not been surveyed and are represented by the best currently available data from GIS sources, including NCDOT county maps (which originally came from the USGS) and updated county parcel maps.

Coastal Normals Information for the Northeast and Mid Atlantic

Geospatial data about Forsyth County, North Carolina Elected Representatives — NC State House Districts. Export to CAD, GIS, PDF, CSV and access via API.

DCHC MPO boundary revised boundary that was approved and adopted on November 2012. Triangle Regional Model (TRM), for transportation modeling purposes. Version 5, 2010 base year. Data dictionary available at https://sites.google.com/a/ncsu.edu/dchc-mpo/home The NC State County Boundary GIS data set is to provide location information for the North Carolina State and County Boundary lines with best available information to facilityat planing siting, impact analysis in the 100 counties of NC. Sources for information are NC Division of Transportation, United States Geological Survey and actual field surveys conducted by North Carolina and South Carolina Licensed Surveyors that have been approved and recoded in their respective counties. This file shows some of the boundaries of counties which have a completed boundary survey but the majority of lines have not been surveyed. Also some boundaries cannot be surveyed in cases where boundaries are coincident with river centers. Most of the lines currently are from the DOT county maps which originally come from USGS but might have been updated by the county parcel maps.

These data were compiled to better determine when the mangrove die-off began. NDVI values of 0.2 or greater correspond to live mangrove cover. These data suggest the mangrove die-off may have started in 2008 and was exacerbated in following years with some recovery in 2013. Live area was calculated by determining the area of the die-off region with NDVI values greater than 0.2. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv acquisition_description=Landsat 5 and 7 annual NDVI composites from 1989 to 2013 were acquired from the "%5C%22https://earthengine.google.com%5C%22">Google Earth Engine website.\u00a0Handheld GPS units (Garmin etrex 20) were used to outline and ground truth the mangrove die-off area in June 2014. Historical hurricane tracks were acquired from the National Oceanic and Atmospheric Administration (NOAA) "%5C%22https://coast.noaa.gov/hurricanes%5C%22">Digital Coasts website.

Die-off GPS outline.CSV: This file consists of GPS coordinates collected by a handheld GPS of the die-off area. This was used to create a shapefile of the die-off area in GIS. awards_0_award_nid=653796 awards_0_award_number=OCE-1541637 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1541637 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 cdm_data_type=Other comment=Live area and NDVI measurements C. Layman, R. Rossi, and S. K. Archer, PIs Version 29 November 2017 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.720664 infoUrl=https://www.bco-dmo.org/dataset/720270 institution=BCO-DMO instruments_0_dataset_instrument_description=Handheld GPS unit used to outline and ground truth the mangrove die-off area instruments_0_dataset_instrument_nid=720625 instruments_0_description=Acquires satellite signals and tracks your location. instruments_0_instrument_name=GPS receiver instruments_0_instrument_nid=706037 instruments_0_supplied_name=Garmin etrex 20 metadata_source=https://www.bco-dmo.org/api/dataset/720270 param_mapping={'720270': {}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/720270/parameters people_0_affiliation=North Carolina State University people_0_affiliation_acronym=NCSU people_0_person_name=Craig Layman people_0_person_nid=51691 people_0_role=Lead Principal Investigator people_0_role_type=originator people_1_affiliation=Fisheries and Oceans Canada, Pacific Region people_1_person_name=Dr Stephanie K Archer people_1_person_nid=720296 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=North Carolina State University people_2_affiliation_acronym=NCSU people_2_person_name=Ryann Rossi people_2_person_nid=664999 people_2_role=Co-Principal Investigator people_2_role_type=originator people_3_affiliation=North Carolina State University people_3_affiliation_acronym=NCSU people_3_person_name=Ryann Rossi people_3_person_nid=664999 people_3_role=Contact people_3_role_type=related people_4_affiliation=Woods Hole Oceanographic Institution people_4_affiliation_acronym=WHOI BCO-DMO people_4_person_name=Hannah Ake people_4_person_nid=650173 people_4_role=BCO-DMO Data Manager people_4_role_type=related project=Mangrove Die-off projects_0_acronym=Mangrove Die-off projects_0_description=Foundation species are those that form the basis for entire ecosystems, substantially altering the physical and biological characteristics of the areas in which they are found. Mangroves are one of the most conspicuous groups of foundation species, providing numerous ecosystems services which we highly value, e.g., habitat for ecologically and economically important species, shoreline stablilization and carbon storage. As such, global declines in mangroves is of upmost concern. For example, an extensive die-off of dwarf red mangrove has been identified in a remote area on the west side of Abaco Island, The Bahamas. Because of its remote nature of the site, the die-off is unlikely to be directly due to human activities. Despite its largely inaccessible nature, the area is ecologically and economically important, e.g., it is the primary bonefishing area on Abaco - an industry worth more than $150 million annually in The Bahamas. Therefore, it is of pressing concern for stakeholders in The Bahamas to identify the underlying cause(s) of decline and assess potential threat to mangroves in other areas. To do so, a series of activities will be carried out, included widespread surveys for a recently identified fungal pathogen, laboratory efforts to isolate and identify this pathogen, satellite imagery mapping activities, and simulated grazing experiments. The area in which the die-off is occurring is currently being considered for designation as a national park by the Bahamian National Trust (BNT). The results of the study will be directly communicated to the BNT and will be used to make immediate management decisions. In collaboration with two Bahamian environmental NGOs, Friends of the Environment and Bahamas Reef Environmental Education Foundation (BREEF), a citizen science-based survey for fungal lesions, as well as an educational module on mangrove ecology, will be designed. The data from the citizen-science and student surveys will be integrated in a map of the incidence of the lesions across The Bahamas. The citizen-science component, and interaction with bonefish guides, provides the opportunity to further integrate science and education. The educational module will be introduced at the BREEF summer teaching training workshop in July. This annual event typically includes 30 teachers from 10 islands. The investigators will continue to make all of our research findings immediately available and accessible to the public through the Abaco Scientist website (http://appliedecology.cals.ncsu.edu/absci/). Provisioning of ecosystem services in the coastal realm is largely mediated by foundation species, such as mangroves, coral and salt marsh grasses. Many of these species are undergoing substantial declines throughout the world. These declines are often driven by complex, interacting, stressors that may be difficult to identify and elucidate. Despite the difficulty, unraveling such mechanistic drivers is essential for stemming declines and developing management strategies for these ecosystems. Mangroves provide many highly valued ecosystem services to coastal communities, yet worldwide these forests are rapidly declining. Much of this loss is related to various human activities along coastlines, but natural ecological mechanisms contribute to declines in many areas as well. An extensive die-off of dwarf red mangrove (Rhizophora mangle) was observed in a remote area on the west side of Abaco Island, The Bahamas. Preliminary observations suggest the die-off may be due to a combination of fungal pathogens, grazing, and physical stress. This combination of stressors is strikingly parallel to the drivers of salt marsh decline on the East and Gulf coasts of the U.S. To date, different fungal strains from mangrove leaves have been identified. One fungus is a species of Pestalotiopsis, an Ascomycete fungus, and members of this genus are known plant pathogens. There are also high densities of a nocturnally active herbivorous cricket (Tafilasca eleuthera) in die-off areas. It is unclear whether this species has recently colonized the area, is increasing in density, or both. In addition, high salinities in the sediment porewater in the die-off area suggest another potential stressor for the plants. A series of observations and experimental studies will be used to examine potential mechanistic drivers of the mangrove die-off. First, the extent of the die-off areas will be mapped using aerial surveys conducted with a GPS-integrated drone equipped with a video camera. Progression of the die-off will be examined with historical spectral profiles of mangroves from 1980s-present (on an annual basis) using Landsat satellite data. Second, the incidence of lesions on mangroves across Abaco Island and throughout The Bahamas will be explored using a series of citizen science initiatives. Third, identification of fungi will require DNA sequencing and examination of the morphology of fungal spores/conidia at North Carolina State University. Fourth, maintenance of a grazer exclusion experiment near the die-off location will provide an assessment of the role of herbivory in this system. Finally, simulated grazing scar experiments will be used to assess if grazing can indeed facilitate fungal infections. projects_0_end_date=2016-04 projects_0_geolocation=Abaco Island, The Bahamas projects_0_name=An interdisciplinary approach to elucidating the causes of widespread mangrove die-off projects_0_project_nid=653797 projects_0_start_date=2015-05 sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55 version=1 xml_source=osprey2erddap.update_xml() v1.3

This service provides a quarterly snapshot of the North Carolina state-maintained road network centerlines. Here, the route network is divided into three layers with symbolized Route Classifications listed below.State Maintained RoadsInterstateUS RouteNC RouteSecondary RouteRampsRest AreasOther State Agency RouteState Maintained Roads - Primary RoadsInterstateUS RouteNC RouteState Maintained Roads - InterstatesInterstateNorth Carolina’s route network is comprised of Interstate, US, NC, Secondary Roads, Ramps, and non-state maintained and projected roads required for federal reporting purposes. Route attributes include Route Class, Route Qualifier, Route Inventory, Route Number, Route Name, and County name. The Route ID attribute is an 11-digit composite route number, the identifier for the Dominant Route. It uniquely identifies routes statewide and should be used as the route identifier when performing LRS analysis using route/milepost referencing.NCDOT adopted the road centerline based Linear Reference System (LRS) Network as it’s official Enterprise LRS, to which multiple road inventory attributes are referenced along measured routes throughout North Carolina. These routes are classified as either System or Non-System routes. System routes are routes within the state-maintained road network, and are comprised of Interstates, US Routes, NC Routes, Secondary Routes, Ramps, and Non-System Routes. Non-System routes are routes that are typically not maintained by NCDOT, but instead by a local agency (county, city or MPO/RPO). The local agency is the source for updating these Non-System routes in NCDOT’s LRS. The collection of routes, System and Non-System, is the NCDOT LRS Network referred to as MilePoint.MetadataThe metadata for the contained layers of the NCDOT State Maintained Roads service is available through the following links:NCDOT Route ArcsPoint of Contact North Carolina Department of Information Technology -Transportation, GIS UnitGIS Data and Services ConsultantContact information:gishelp@ncdot.govCentury Center – Building B1020 Birch Ridge DriveRaleigh, NC 27610Hours of service: 9:00am - 5:00pm Monday – FridayContact instructions: Please send an email with any issues, questions, or comments regarding the State Maintained Roads data. If it is an immediate need, please indicate as such in the subject line in an email.NCDOT GIS Unit GO! NC Product TeamLastUpdated: 2024-01-01 00:00:00

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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

E3 - Nashville Landsat Land Use/Land Cover Classification

 The Southern Oxidants Study (SOS) conducted a major field research
 campaign in Nashville/Middle Tennessee area in June and July 1994 and
 1995. The goal of this study was to improve scientific understanding
 of the processes that control the production and distribution of ozone
 in the troposphere.

 Landsat Thematic mapper (TM) data (acquired in May 1994) and aerial
 photographs were used to develop a classified image representing 13
 land use/land cover categories for most of the Nashville/Middle
 Tennessee study area. The 13 categories are: conifer,
 hardwood, mixed-hardwood, low-density vegetation, agriculture, bare
 soil, disturbed land, grass, clear cut, high-density developed,
 medium-density developed, low-density developed, and water. The
 classified image was gridded to a 1 square kilometer scale using
 ARC/Info GIS. Total hectares and fractions of each land use/land
 cover category were calculated for each grid cell and county-level
 information (land use/land cover hectares and fractions) was summarized.

 The Tennessee Valley Authority (TVA) was the coordinator for the 1995
 Southern Oxidants Study Nashville/Middle Tennessee Ozone Study. See:
 "http://www.tva.gov/home.htm"

 For more information on the Southern Oxidants Study see:

 "http://www2.ncsu.edu/ncsu/CIL/southern_oxidants/index.html"

The North Carolina State Demographer data platform houses the latest data produced by the Office of the State Demographer. The platform allows users to create visualizations, download full (or partial) datasets, and create maps. Registered users can save their visualizations and be notified of dataset updates. This new platform is a subdomain of OSBM’s Log In to North Carolina (LINC) – a service containing over 900 data items including items pertaining to population, labor force, education, transportation, etc. LINC includes topline statistics from the State Demographer’s population estimates and projections while the North Carolina State Demographer data platform includes more detailed datasets for users requiring more detailed demographic information.

North Carolina Senate district plan slated to be used for the 2024 election cycle.Enacted by the NC General Assembly on October 25, 2023 as Senate Bill 757, becoming Session Law 2023-146. District boundaries are based on 2020 census tabulation blocks, as represented in the 2020 TIGER/Line Shapefiles, published by the U.S. Census Bureau.

In anticipation of the FBI transitioning to NIBRS by January 2021, the Raleigh Police Department was one of the first agencies in North Carolina to convert from the Uniform Crime Reporting (UCR) program Summary Reporting System (SRS) to the UCR - National Incident Based Reporting System (NIBRS) in June 2014.NIBRS now collects each offense, victim, offender, property, and arrestee information on 52 unique offenses and up to 10 offenses per incident. These new categories can be more defined and increasingly vary at the local level. As a result, these differences can make it difficult to compare statistics.For more information about NIBRS, go to FBI website: https://ucr.fbi.gov/nibrs-overviewUpdate Frequency: DailyTime Period: Previous Day

Maps have been developed by Clinton Jenkins of the Instituto de Pesquisas Ecológicas (IPÊ). Advice and suggestions came from many colleagues, including Joe Sexton (GLCF), Rob Dunn (NCSU), Stuart Pimm (Duke University), Kyle Van Houtan (NOAA), Lucas Joppa (Microsoft Research), Félix Pharand-Deschenes (Globaïa), and Nick Haddad (NCSU). Producing the biodiversity maps would not have been possible without the enormous efforts contributed to the IUCN, NatureServe, BirdLife International, and the USGS in their ongoing efforts to map the individual distributions of the world’s species. for more info Visit BiodiversityMapping.orgThe brighter purple color on the map represent the areas of highest mammal biodiversity.

Summary:Submerged aquatic vegetation (SAV) mapping data were compiled to provide a maximum historical extent of past and present visible SAV habitat within the coastal zone of the Albemarle-Pamlico National Estuary Partnership (APNEP) and southern NC region. Mapping events from multiple years have been included, with varying extents, data collection protocols, and methodology, to encompass all regions of coastal NC. Purpose:These data were created by governmental agencies and researchers to assist in making resource management decisions using a Geographic Information System (GIS). They are intended for planning projects or research that will contribute to better protection and restoration for SAV habitat.

Data Sources:

Data Source

Methodology

Mapping years included and extent

Carraway and Priddy (1983)

Maps of SAV were created from aerial natural color photography accompanied by ground truth data for verification including location and density. Link to report

1981 (May): Bogue, Back and Core sounds

Ferguson and Wood (1994)

SAV was delineated and mapped from natural color aerial photography with a minimum mapping unit of 20m. Accompanying field inventories were conducted within study regions to verify SAV signatures and species distribution and composition. Link to report

1983 (Spring): Outer Banks from Ocracoke Inlet to Oregon Inlet 1985 (Spring): Core Sound 1988 (Spring): Core Sound, and behind Cape Hatteras from Hatteras to Avon 1990 (Fall): Currituck, Albemarle, Roanoke, and Croatan sounds, and Oregon Inlet to south of Pea Island 1991 (Fall): Pamlico River Estuary, Neuse River Estuary, western Pamlico Sound and Albemarle 1992 (Fall): Pamlico River, parts of eastern and western Pamlico Sound, and Albemarle Sound (Perquimans River)

Division Water Quality (DWQ) 1998

Maps from aerial photography

1998: Neuse River and tributaries

Elizabeth City State University (ECSU)

Maps from color aerial photography, accompanied by field survey point data to aid in photo interpretation were produced by the ECSU Remote Sensing Program. SAV polygons were generated using “heads up” digitizing on the computer monitor.

2002 (October): Northern shoreline of Albemarle Sound and tributaries from Big Flatty Creek to Edenton Bay 2003 (October): Back Bay, Currituck Sound, and Kitty Hawk Bay 2006: Western Albemarle Sound

North Carolina State University (NCSU) 2005

Aerial photography from July 2005 accompanied by ground truth data.

2005 (July): Southern shore of Albemarle Sound including Bull Bay to northern Croatan Sound

Division Water Quality (DWQ) Rapid Response Team

Maps from interpolated transect data SAV was observed and collected using a garden rake from boat, traveling along the shoreline.

2005 and 2006 (June-September): field surveys were conducted for the major tributaries of Neuse and Pamlico rivers 2007 (May-August): field surveys were conducted in the Neuse and Pamlico rivers and tributaries

Marine Corps Air Station Cherry Point 2007

Field survey’s consisting of visual observations and underwater cameras in ≤ 6ft depth of water. Aerial survey using hyperspectral imagery, collected on May 14, 2007, was analyzed in ENVI software using the Spectral Angle Mapper Classification method to identify SAV.

May 14, 2007: imagery data of Piney Island was collected 2007 (June-July): field surveys for Piney Island and Brant Island Shoal

Albemarle-Pamlico National Estuary Partnership (APNEP) SAV Partners – SAV 2006-2008 Mapping

SAV was mapped along the coast of NC and northward into Back Bay, VA by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically set at 1:1,500 with a minimum mapping unit set at 15 m. Link to source metadata

This extent encompasses the coastal zone that lies within the APNEP regional boundary (Bogue Inlet north to Back Bay), as well as that which is outside of that boundary (Bogue Inlet south to Masonboro Inlet). 2006 (May-June): Bogue, Back, and Core sounds 2007 (September): Pamlico and Pungo rivers 2007 (October): coast wide except Bogue, Back and Core sounds 2008 (May-June): Bogue, Back and Core sounds

Albemarle-Pamlico National Estuary Partnership (APNEP) SAV Partners – SAV 2012-2014 Mapping

SAV was mapped along the coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically set between 1:2,000 and 1:3,000 with a minimum mapping unit set at 15 m. Link to source metadata

This extent encompasses the high-salinity coastal zone that lies within the APNEP regional boundary (Hwy. 64 Bridge of Roanoke Sound south to Bogue Inlet). 2013 (May): Bogue, Back and North Pamlico sounds

Division of Marine Fisheries (DMF) – SAV 2015 Mapping

SAV was mapped along the Southern coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically between 1:1,500 and 1:2,000 with a minimum mapping unit set at 15 m. Link to source metadata

This extent encompasses the high-salinity coastal zone of Onslow Bay that lies south of Bogue Sound and terminating near Mason’s Inlet (Onslow, Pender, and New Hanover counties). 2015 (May): Bear Inlet south to Mason’s Inlet

Albemarle-Pamlico National Estuary Partnership (APNEP) SAV Partners – SAV 2019-2020 Mapping

SAV was mapped along the coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically set between 1:1,500 and 1:3,000 with a minimum mapping unit set at 15 m. Link to source metadata

This extent encompasses the high-salinity coastal zone that lies within the APNEP regional boundary (Hwy. 64 Bridge of Roanoke Sound south to Bogue Inlet), except for mainland Core Sound and multiple areas in Pamlico and Roanoke Sounds (see source metadata for detailed description).

All SAV was digitized from 2020 (May-June) imagery – 2019 imagery was uninterpretable for SAV.

Division of Marine Fisheries (DMF) – SAV 2021 Mapping

SAV was mapped along the Southern coast of NC by manually digitizing visible SAV from remotely-sensed imagery. Digitizing scale was typically between 1:1,500 and 1:2,000 with a minimum mapping unit set at 15 m. Link to source metadata

This extent encompasses the high-salinity coastal zone of Onslow Bay that lies south of Bogue Sound and terminating near Mason’s Inlet (Onslow, Pender, and New Hanover counties). 2021 (May): Bear Inlet south to Mason’s Inlet

This data represents arrests of adults made by law enforcement, based on the FBI’s UCR Program Data Collections for the National Incident-Based Reporting System (NIBRS). Historical data is available back to 10/1/2018, before which the agency was using the Summary Reporting System (SRS). While the data collected is similar, it is not comparable across reporting systems. Note: the age of adult criminal responsibility was raised from 16 to 18 years old on December 1, 2019. This dataset is updated annually. Available fields include:Arrest Number – Unique identifier of the arrest.Case Number – Unique numerical identifier of the case, which can be joined to the calls for service and incident datasets.Name ID – Unique numerical identifier of the person arrested.Race – The race of the person arrested.Ethnicity – The ethnicity of the person arrested.Sex – The gender of the person arrested.Age – The age of the person arrested.Arrest Date – The date of the arrest.Arrest Time – The time of the arrest.Arrest Type – The type of arrest. Criminal summons and citations are non-custodial.Sequence – This is the sequence by order of severity based on the FBI’s UCR hierarchy, not North Carolina General Statutes.UCR Code – The FBI’s alphanumeric identifier for the type of crime committed.Statute – The codified charge, usually by either the North Carolina General Statute or City Ordinance.Description – The description of the codified charge in the statute.F/M – Designation of whether the crime was a felony or misdemeanor.Counts – A multiplier of the number of counts for the same crime charged.Location of Arrest – The block number and street or intersection of the arrest.X – Mapping coordinate of the arrest, projected as NC State Plane (feet).Y – Mapping coordinate of the arrest, projected as NC State Plane (feet).District – The patrol district where the arrest occurred.Beat – The patrol beat where the arrest occurred, which is a sub-division of the district.Tract – The census tract where the incident occurred, based on 2010 census data.Individual arrest reports can be accessed and printed on the Durham Police Department’s Police to Citizen (P2C) web site, which are available back to 10/1/2018.