Geospatial data about Charleston County, South Carolina County Tax Districts. Export to CAD, GIS, PDF, CSV and access via API.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of assessed property values for each zip code in Iva, South Carolina. It's important to understand that assessed property values can vary greatly and can change yearly.

This publication includes a black and white georeferenced 1903 map of Cooper River holdings of the E.P. Burton Company from the publication “Working plan for forest lands in Berkeley County, South Carolina”. The map includes the area of the Santee Experimental Forest.The 1903 map of Cooper River holdings shows the stock of pine and cypress trees in stands within and around the Santee Experimental Forest.Original map is currently archived at the National Archives in Atlanta, Georgia.

TheFlorida Department of Revenue’s Property Tax Oversight(PTO) program collects parcel level Geographic Information System (GIS) data files every April from all of Florida’s 67 county property appraisers’ offices. This GIS data was exported from these file submissions between March 15 to April 1, 2023. The GIS parcel polygon features have been joined with thereal property roll (Name – Address – Legal, or NAL)file. No line work was adjusted between county boundaries.The polygon data set represents the information property appraisers gathered from the legal description on deeds, lot layout of recorded plats, declaration of condominium documents, recorded and unrecorded surveys.Individual parcel data is updated continually by each county property appraiser as needed. The GIS linework and related attributions for the statewide parcel map are updated annually by the Department every August. The dataset extends countywide and is attribute by Federal Information Processing Standards (FIPS) code.DOR reference with FIPS county codes and attribution definitions - https://fgio.maps.arcgis.com/home/item.html?id=ff7b985e139c4c7ba844500053e8e185If you discover the inadvertent release of a confidential record exempt from disclosure pursuant to Chapter 119, Florida Statutes, public records laws, immediately notify the Department of Revenue at 850-717-6570 and your local Florida Property Appraisers’ Office.Please contact the county property appraiser with any parcel specific questions: Florida Property Appraisers’ Offices:Alachua County Property Appraiser – https://www.acpafl.org/Baker County Property Appraiser – https://www.bakerpa.com/Bay County Property Appraiser – https://baypa.net/Bradford County Property Appraiser – https://www.bradfordappraiser.com/Brevard County Property Appraiser – https://www.bcpao.us/Broward County Property Appraiser – https://bcpa.net/Calhoun County Property Appraiser – https://calhounpa.net/Charlotte County Property Appraiser – https://www.ccappraiser.com/Citrus County Property Appraiser – https://www.citruspa.org/Clay County Property Appraiser – https://ccpao.com/Collier County Property Appraiser – https://www.collierappraiser.com/Columbia County Property Appraiser – https://columbia.floridapa.com/DeSoto County Property Appraiser – https://www.desotopa.com/Dixie County Property Appraiser – https://www.qpublic.net/fl/dixie/Duval County Property Appraiser – https://www.coj.net/departments/property-appraiser.aspxEscambia County Property Appraiser – https://www.escpa.org/Flagler County Property Appraiser – https://flaglerpa.com/Franklin County Property Appraiser – https://franklincountypa.net/Gadsden County Property Appraiser – https://gadsdenpa.com/Gilchrist County Property Appraiser – https://www.qpublic.net/fl/gilchrist/Glades County Property Appraiser – https://qpublic.net/fl/glades/Gulf County Property Appraiser – https://gulfpa.com/Hamilton County Property Appraiser – https://hamiltonpa.com/Hardee County Property Appraiser – https://hardeepa.com/Hendry County Property Appraiser – https://hendryprop.com/Hernando County Property Appraiser – https://www.hernandopa-fl.us/PAWEBSITE/Default.aspxHighlands County Property Appraiser – https://www.hcpao.org/Hillsborough County Property Appraiser – https://www.hcpafl.org/Holmes County Property Appraiser – https://www.qpublic.net/fl/holmes/Indian River County Property Appraiser – https://www.ircpa.org/Jackson County Property Appraiser – https://www.qpublic.net/fl/jackson/Jefferson County Property Appraiser – https://jeffersonpa.net/Lafayette County Property Appraiser – https://www.lafayettepa.com/Lake County Property Appraiser – https://www.lakecopropappr.com/Lee County Property Appraiser – https://www.leepa.org/Leon County Property Appraiser – https://www.leonpa.gov/Levy County Property Appraiser – https://www.qpublic.net/fl/levy/Liberty County Property Appraiser – https://libertypa.org/Madison County Property Appraiser – https://madisonpa.com/Manatee County Property Appraiser – https://www.manateepao.gov/Marion County Property Appraiser – https://www.pa.marion.fl.us/Martin County Property Appraiser – https://www.pa.martin.fl.us/Miami-Dade County Property Appraiser – https://www.miamidade.gov/pa/Monroe County Property Appraiser – https://mcpafl.org/Nassau County Property Appraiser – https://www.nassauflpa.com/Okaloosa County Property Appraiser – https://okaloosapa.com/Okeechobee County Property Appraiser – https://www.okeechobeepa.com/Orange County Property Appraiser – https://ocpaweb.ocpafl.org/Osceola County Property Appraiser – https://www.property-appraiser.org/Palm Beach County Property Appraiser – https://www.pbcgov.org/papa/index.htmPasco County Property Appraiser – https://pascopa.com/Pinellas County Property Appraiser – https://www.pcpao.org/Polk County Property Appraiser – https://www.polkpa.org/Putnam County Property Appraiser – https://pa.putnam-fl.com/Santa Rosa County Property Appraiser – https://srcpa.gov/Sarasota County Property Appraiser – https://www.sc-pa.com/Seminole County Property Appraiser – https://www.scpafl.org/St. Johns County Property Appraiser – https://www.sjcpa.gov/St. Lucie County Property Appraiser – https://www.paslc.gov/Sumter County Property Appraiser – https://www.sumterpa.com/Suwannee County Property Appraiser – https://suwannee.floridapa.com/Taylor County Property Appraiser – https://qpublic.net/fl/taylor/Union County Property Appraiser – https://union.floridapa.com/Volusia County Property Appraiser – https://vcpa.vcgov.org/Wakulla County Property Appraiser – https://mywakullapa.com/Walton County Property Appraiser – https://waltonpa.com/Washington County Property Appraiser – https://www.qpublic.net/fl/washington/Florida Department of Revenue Property Tax Oversight https://floridarevenue.com/property/Pages/Home.aspx

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of assessed property values for each city in Fairfield County, South Carolina. It's important to understand that assessed property values can vary greatly and can change yearly.

This publication contains a georeferenced 1936 map of a control survey by the United States Coast and Geodetic Survey, the United States Geologic Survey, the United States Forest Service and other surveys. It was surveyed from 1933 to 1936 under the supervision of the Forest Supervisor. Four inch (4") field sheets were prepared from aerial and ground surveys and reduced at the regional office in Atlanta, GA. The map was traced in 1935 and 1936.This map indicates property ownership in Berkeley County, South Carolina in 1936 and includes the area of the Santee Experimental Forest (SEF).The map has been georeferenced so that other SEF spatial data can be overlaid on the map in a GIS program. The SEF is located in the southeastern portion of the map, as the rest of the ownership parcels are within Berkeley County.

SCDNR Public Lands - View for Public Lands apps and maps, other SCDNR public lands publications, and open data for SCDNR Public Lands. Layers in this feature service include property boundaries, activities on SCDNR properties, points of interest, assets, and other relevant public lands features. The layers in this feature class are updated on an as needed basis from SCDNR's enterprise GIS database. The data are published for the purpose of SCDNR's Public Lands applications. Please see the terms of use below. SCDNR Public Lands Hub Site:https://public-lands-scdnr.hub.arcgis.com

The Cumberland County GIS Data Viewer provides the general public with parcel, zoning, hydrology, soils, utilities and topographic data. You can search for a specific address, street name, parcel number (PIN), or by the owner's name.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

This data represents the graphic portrayal of land parcels and their spatial relationships throughout York County, South Carolina. Land parcel boundaries are also the basis for and define coincident boundaries for other layers, such as zoning, subdivisions, public safety response (ORI -Police, Fire, EMS) and Jurisdiction.Boundaries are established from a variety of sources including cadastral plats, subdivision plats, deeds, land contracts, right-of-way plats, and others. Each feature represents a parcel of land that is inventoried by a unique identifier, referred to as a “Tax Map Id” number. This dataset also includes multi-unit structures which have separate tax accounts for each unit, such as condominium units, represented as stacked polygon features. The parent parcel number [ParentTaxID] for the land parcel is distinguished from the child parcel [TaxMapID] for the condo unit. This data does not include mobile home data. Attributes include data stored within the Esri Fabric data model combined with those from the CAMA data. Examples of relevant attributes include:the [TaxMapID], [ParcelID] and [AprAccNum] can be used to uniquely identify each parcel. the [MailAddr1], [MailAddr2], [MailApt], [MailCity], [MailState], [MailZip] can be used as the full tax billing address for the owner.The [Owner1], [Owner2], [Owner3] describe the owner.the [YearBuilt] offers the oldest year a building was built on the property, reference this web map for info on potential lead pipes on premises;the area of the parcel in acres [GISSizeAC] as calculated from the parcel geometry and also the [deededAcres] from recorded documents, and ;the date that the parcel boundary was last edited [DATE_MODIFIED].How were parcels compiled? This layer was initially developed as an ink-on-mylar property maps maintained by the County from the early 1970's through around 2001.In the 1990s, the county procured services to convert parcels from source documents, however the product delivered in 2000 used a methodology which lost fidelity of source documents. Since then, county staff adhered to this same methodology in their daily work. Between 2001 and 2015 staff used an Esri topology to maintain parcel data in ArcMap. In 2015 the county migrated to Parcel Fabric (ArcMap) and then in 2021 to Pro (2.6/10.8.1 Enterprise) Parcel Fabric. In May of 2021 the county began outsourcing maintenance of parcel edits. This has worked well and was initiated in part to ensure a higher standard of editing practice was adhered to, but also to fulfil a shortage of skilled staff in the job market. County parcel mapping staff remain responsible for simple transactions (merge, split), compilation of materials to create vendor edit request task, and QC or review of vendor work. In Q4 2021, County Staff performed a needs assessment to review alignment issues between parcels and other layers and the internal business requirements for data alignment to parcels. They determined boundary layers must remain coincident with parcels, which are used in decision making by citizens and across many areas of government. Also, it was determined that our parcels had many errors from 20 years of edits in a non-Fabric data model and the previous editing practices. The county will be remapping parcels using ARP grant funding in the 2023-2024 timeframe. Upon delivery in 2024, data maintenance practices will ensure ongoing alignment with parcels.Year BuiltTo obtain the year built for structures on a property, use the 'Buildings' table available through our open data portal.Once you have downloaded the 'Buildings' table and this parcels layer, consider processing the building records in some way to join or perform a relate as there could be many buildings on one parcel, using the following fields:Parcel.AprAccNum = BuildingTable.PropertyID(Note: 98,227 parcels have 1 building, 647 parcels have 2 buildings, 272 have 3 or more)Data SchemaReview the Parcel schema document (PDF) to gain a better understand of the data fields. Access the file geodatabase source data in SC State Plane coordinate system

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.