The parcels boundaries are not legal survey accurate and should be used for general representation only. They are maintained by the Jefferson County Property Administrator's Office. To get detailed parcel information, Contact the PVA. Use the LRSN field as the unique parcel identifier. The data is updated daily. View detailed metadata.

This resource is a member of a series. 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) System (MTS). The MTS 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. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

The data was created in the StatePlaneALWest (US Feet) projection. It is a static layer generated nightly from the data owned and managed by the Jefferson County departments listed in the Summary. It contains property lines and attributes for owner and address information.

Polygon layer of general land use for Jefferson County, Kentucky as of 2013; polygons include attribute for land use code and land use name.1= SINGLE FAMILY; 2=MULTI-FAMILY; 3=COMMERCIAL; 4=INDUSTRY; 5=PUBLIC AND SEMI-PUBLIC; 6=PARKS AND OPEN SPACE; 7=FARMLAND; 8=VACANT; 9=RIGHT-OF-WAY. General land use delineations derived from parcel property class, aerial photography and field surveys; based on parcel boundaries. View detailed metadata.

The Florida 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 in August 2025. 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=55e830fd6c8948baae1601fbfc33a3b2If 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://hernandocountypa-florida.us/Highlands 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://ncpafl.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

Parcels by ownership in Jefferson County CO

Note: The property data shown on this map was digitized from PVA block maps adjusted to LOJIC planimetric map data and has been updated from PVA records. The property data does not supersede deed records and should not be used for purposes other than general property reference and identification.Field NameField DescriptionNameName of TIF

Tax Increment Financing (TIF) is a performance-based incentive that permits a portion of the new state and/or local taxes generated by a development to be rebated back to the developer to help support the development costs. These data are for the Local Only Tax Increment Financing Zones for Louisville, KY. Visit https://louisvilleky.gov/government/louisville-forward/legal-agreements for additional information on each TIF project.Note: The property data shown on this map was digitized from PVA block maps adjusted to LOJIC planimetric map data and has been updated from PVA records. The property data does not supersede deed records and should not be used for purposes other than general property reference and identification.Field NameField DescriptionNameName of TIFProject_LinkWeb link to the Projects websiteTermHow long the TIF will be activated forApprovedThe year the TIF was approvedActivatedThe year the TIF was activated if it has been activatedPDF_LinkLink to the PDF map for the TIF

This resource is a member of a series. 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) System (MTS). The MTS 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. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

A web map used to access tax parcel, boundary, ownership, acreage, survey, zoning and tax information. Errors and Omissions Do Exist.The information provided is for reference only and subject to independent verification. User assumes all responsibility for its use.https://www.fayette-co-oh.com/Fayette County ProfileFayette County is a county located in the U.S. state of Ohio. Its county seat is Washington Court House. Fayette County was formed on March 1, 1810 from portions of Highland County and Ross County. It was named after Marie-Joseph Motier, Marquis de La Fayette, a French general and politician who took the side of the Colonials during the American Revolutionary War and who played an important role in the French Revolution.Fayette County is a part of the Virginia Military survey, which was reserved in 1783, to be allotted to Virginia soldiers. This district includes the entire counties of Adams, Brown, Clermont, Clinton, Highland, Fayette, Madison and Union; and a portion of the counties of Scioto, Pike, Ross, Pickaway, Franklin, Delaware, Marion, Hardin, Logan, Champaign, Clarke, Greene, Warren and Hamilton.Fayette County was formed January 19, 1810 (took effect March 1st) from Ross and Highland counties. Beginning at the southwest corner of Pickaway, running north “with the line of said county to the corner of Madison; thence west with the line of said Madison county to the line of Greene county; thence south with the line of Greene county to the southeast corner thereof; thence east five miles; thence south to the line of Highland county; thence east with said line to Paint Creek; thence in a straight line to the beginning.” All the lower portion was taken from Highland and the upper from Ross.The first portion of land entered within the territory of what is now Fayette county, was a part of original surveys Nos. 243 and 772, lying partly in Clinton county. The first survey lying wholly within Fayette county was No. 463, in what is now Madison township, surveyed for Thomas Overton by John O’Bannon June 30, 1776.The original townships were Jefferson, Greene, Wayne, Madison, Paint and Union. Concord township was formed in April 1818, from Greene. Marion township was formed in June, 1840 from Madison. Perry township was formed June 4, 1845, from Wayne and Greene. Jasper township was formed from Jefferson and Concord December 2, 1845.Washington C.H. was laid out originally on a part of entry 757, which contained 1200 acres and belonged to Benjamin Temple, of Logan county, Kentucky, who donated 150 acres to Fayette county, on condition that it be used as the site of the county seat. The deed of conveyance was made December 1, 1810, by Thomas S. Hind, attorney for Temple, to Robert Stewart, who was appointed by the legislature as director for the town of Washington. The town was laid off some time between December 1, 1810, and February 26, 1811, the latter being the date of the record of the town plat.Bloomingburg (originally called New Lexington) was laid out in 1815, by Solomon Bowers, and originally contained 34 and ¾ acres. On March 4, 1816, Bowers laid out and added twenty more lots. The name of the town was later changed to Bloomingburg by act of the legislature. The town was incorporated by act of the legislature, February 5, 1847.Jeffersonville was laid out March 1, 1831, by Walter B. Write and Chipman Robinson, on 100 acres of land belonging to them, they started selling the lots at $5 each. The town incorporated March 17, 1838. The first house was erected by Robert Wyley.The first railroad, now the C. & M. V., was completed in 1852; the second, now the Detroit Southern, in 1875; the third, now the C.H. & D. in 1879; and the fourth, now the B. & O. S. W., in 1884.The first permanent settler (probably) was a Mr. Wolf who settled in what is now Wayne township, in about the year 1796. - Circa 1886 - Map of Fayette County, Ohio. Issued by the Fayette County Record.

Polygon feature class of National Register Districts and Sites. Based on PVA's property lines and street centerlines. ( The National Register of Historic Places is the official list of the Nation's historic places worthy of preservation. Authorized by the National Historic Preservation Act of 1966, the National Park Service's National Register of Historic Places is part of a national program to coordinate and support public and private efforts to identify, evaluate, and protect America's historic and archeological resources.

Click here to view the Metro Office of Sustainability web site about this study and here to view the complete report.This data includes a land cover assessment for implementing the various scenarios that impact temperatures across Louisville. These include, by ½ kilometer grid cell, the percentage of deciduous forest, coniferous forest, mixed forest, grass, shrubbery, cropland, pastureland, barren land, impervious residential properties, impervious nonresidential properties, impervious streets, impervious surfaces at airports, other impervious surfaces, wooded wetland, wetland, and water. The data also show the mean average, minimum and maximum temperatures over the 2012 warm season (May – September), the number of deaths attributable to urban heat over the 2012 warm season, and the estimated avoided deaths that would be achieved by implementing the heat management scenarios. This data is available at the district level and not the entire county due to a lack of availabile health data due to small population within those cells.The distribution of grid cells is also included in the dataset, which covers Jefferson County, Kentucky. All data is presented in GIS format.Two sources of information were used to map land surface materials across Louisville. Parcel, roadway and other impervious surface information was provided by the Louisville/Jefferson County Information Consortium (LOJIC). Satellite-measured land use information was obtained from the US Geological Survey (USGS).Attribute Definitions:X: X coordinate of polygon vertexY: Y coordinate of polygon vertexCELL_A: Grid cell area in square metersKEYID: Unique identification code assigned to each grid cellHeat_Death: Total number of heat related deaths over the 2012 warm season (May - SeptemberWS_B_ApAvg: The mean average apparent temperature over 2012 warm season (May - SeptemberWS_B_ApMin: The mean minimum apparent temperature over 2012 warm season (May - SeptemberWS_B_ApMax: The mean maximum apparent temperature over 2012 warm season (May - SeptemberBase_UHI: Number of heat related deaths attributable to the urban heat island over the 2012 warm season (May - SeptemberCC_FST_DEC: Current Conditions Scenario percentage of deciduous forest in grid cellCC_FST_CON: Current Conditions Scenario percentage of coniferous forest in grid cellCC_FST_MIX: Current Conditions Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land coverCC_GRASS: Current Conditions Scenario percentage of grass in grid cellCC_SHRUB: Current Conditions Scenario percentage of shrub in grid cell CC_PASTURE: Current Conditions Scenario percentage of pasture in grid cellCC_CROP: Current Conditions Scenario percentage of crop in gridCC_BARREN: Current Conditions Scenario percentage of barren in grid cellCC_IPV_RS: Current Conditions Scenario percentage of impervious residential in grid cellCC_IPV_NRS: Current Conditions Scenario percentage of impervious nonresidential in grid cellCC_IPV_ST: Current Conditions Scenario percentage of impervious street in grid cellCC_IPV_OTH: Current Conditions Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)CC_IPV_AP: Current Conditions Scenario percentage of impervious airport in grid cellCC_IPV_WLW: Current Conditions Scenario percentage of wooded wetland areas in grid cellCC_IPV_WL: Current Conditions Scenario percentage of wetland in grid cellCC_IPV_WTR: Current Conditions Scenario percentage of water in grid cellCM_FST_DEC: Cool Materials Scenario percentage of deciduous forest in grid cellCM_FST_CON: Cool Materials Scenario percentage of coniferous forest in grid cellCM_FST_MIX: Cool Materials Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)CM_GRASS: Cool Materials Scenario percentage of grass in grid cellCM_SHRUB: Cool Materials Scenario percentage of shrub in grid cellCM_PASTURE: Cool Materials Scenario percentage of shrub in grid cellCM_CROP: Cool Materials Scenario percentage of crop in grid cellCM_BARREN: Cool Materials Scenario percentage of barren in grid cellCM_IPV_RS: Cool Materials Scenario percentage of impervious residential in grid cellCM_IPV_NRS: Cool Materials Scenario percentage of impervious nonresidential in grid cellCM_IPV_ST: Cool Materials Scenario percentage of impervious street in grid cellCM_IPV_OTH: Cool Materials Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)CM_IPV_AP: Cool Materials Scenario percentage of impervious airport in grid cellCM_IPV_WLW: Cool Materials Scenario percentage of wooded wetland areas in grid cellCM_IPV_WL: Cool Materials Scenario percentage of wetland in grid cellCM_IPV_WTR: Cool Materials Scenario percentage of water in grid cellCS_FST_DEC: Combined Strategies Scenario percentage of deciduous forest in grid cellCS_FST_CON: Combined Strategies Scenario percentage of coniferous forest in grid cellCS_FST_MIX: Combined Strategies Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)CS_GRASS: Combined Strategies Scenario percentage of grass in grid cellCS_SHRUB: Combined Strategies Scenario percentage of shrub in grid cellCS_PASTURE: Combined Strategies Scenario percentage of pasture in grid cellCS_CROP: Combined Strategies Scenario percentage of crop in grid cellCS_BARREN: Combined Strategies Scenario percentage of barren in grid cellCS_IPV_RS: Combined Strategies Scenario percentage of impervious residential in grid cellCS_IPV_NRS: Combined Strategies Scenario percentage of impervious nonresidential in grid cellCS_IPV_ST: Combined Strategies Scenario percentage of impervious street in grid cellCS_IPV_OTH: Combined Strategies Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)CS_IPV_AP: Combined Strategies Scenario percentage of impervious airport in grid cellCS_IPV_WLW: Combined Strategies Scenario percentage of wooded wetland areas in grid cellCS_IPV_WL: Combined Strategies Scenario percentage of wooded wetland areas in grid cellCS_IPV_WTR: Combined Strategies Scenario percentage of water in grid cellEE_FST_DEC: Energy Efficiency Scenario percentage of deciduous forest in grid cellEE_FST_CON: Energy Efficiency Scenario percentage of coniferous forest in grid cellEE_FST_MIX: Energy Efficiency Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)EE_GRASS: Energy Efficiency Scenario percentage of grass in grid cellEE_SHRUB: Energy Efficiency Scenario percentage of shrub in grid cellEE_PASTURE: Energy Efficiency Scenario percentage of pasture in grid cellEE_CROP: Energy Efficiency Scenario percentage of crop in grid cellEE_BARREN: Energy Efficiency Scenario percentage of barren in grid cellEE_IPV_RS: Energy Efficiency Scenario percentage of impervious residential in grid cellEE_IPV_NRS: Energy Efficiency Scenario percentage of impervious nonresidential in grid cellEE_IPV_ST: Energy Efficiency Scenario percentage of impervious street in grid cellEE_IPV_OTH: Energy Efficiency Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)EE_IPV_AP: Energy Efficiency Scenario percentage of impervious airport in grid cellEE_IPV_WLW: Energy Efficiency Scenario percentage of wooded wetland areas in grid cellEE_IPV_WL: Energy Efficiency Scenario percentage of wetland in grid cellEE_IPV_WTR: Energy Efficiency Scenario percentage of water in grid cellGN_FST_DEC: Greening Scenario percentage of deciduous forest in grid cellGN_FST_CON: Greening Scenario percentage of coniferous forest in grid cellGN_FST_MIX: Greening Scenario percentage of mixed forest in grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own unique land cover)GN_GRASS: Greening Scenario percentage of grass in grid cellGN_SHRUB: Greening Scenario percentage of shrub in grid cellGN_PASTURE: Greening Scenario percentage of pasture in grid cellGN_CROP: Greening Scenario percentage of crop in grid cellGN_BARREN: Greening Scenario percentage of barren in grid cellGN_IPV_RS: Greening Scenario percentage of impervious residential in grid cellGN_IPV_NRS: Greening Scenario percentage of impervious nonresidential in grid cellGN_IPV_ST: Greening Scenario percentage of impervious street in grid cellGN_IPV_OTH: Greening Scenario percentage of impervious other in grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)GN_IPV_AP: Greening Scenario percentage of impervious airport in grid cellGN_IPV_WLW: Greening Scenario percentage of wooded wetland areas in grid cellGN_IPV_WL: Greening Scenario percentage of wetland in grid cellGN_IPV_WTR: Greening Scenario percentage of water in grid cellUse for the following 4 attributes:Recreate Charts from Louisville Urban Heath Management Study:No Benefit: Minimum value - 0.0008Low Benefit: 0.0008 - 0.0062High Benefit: 0.0062 - Maximum valueAv_Cool: Avoided heat deaths under the Cool Materials scenario during May to September 2012 by ½ km2 grid cell.Av_Green: Avoided heat deaths under the Greening scenario during May to September 2012 by ½ km2 grid cell.Av_Waste: Avoided deaths under the Energy Efficiency scenario during May to September 2012 by ½ km2 grid cell.Av_All: Avoided deaths under the Combined Strategies scenario during May to September 2012 by ½ km2 grid cell.

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. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Polygon coverage delineating County School Board Districts with attribute for district number.Boundaries based on aggregations of precinct polygons using school districts attributes; adjusted to fit property boundaries and physical features. Scale 1:1200 Layer originally created by LOJIC; currently maintained by Elections Center. View detailed metadata.

This dataset defines the symbology for the landcover map of the Natchez Trace Parkway. The map shows the distribution of 18 landcover classes based on the National Vegetation Classification Standard. Ground-based vegetation classification was provided by National Park Service (NPS). The mapping output and layer delineate grasses, road-developed areas, scrub-shrub, shrubland, plantation, water bodies, areas of white oak, oak, pine-oak, pine-cedar, pine-sweetgum, sweetgum (including sweetgum-oak), scattered trees, swamp forest, irregular classes, aquatic vegetation, invasive species, canopy gaps, and clouds. Mapped classes that have been digitized are noted with an asterisk (*) in the legend.

Polygon layer of general land use for Jefferson County, Kentucky as of 2013; polygons include attribute for land use code and land use name.1= SINGLE FAMILY; 2=MULTI-FAMILY; 3=COMMERCIAL; 4=INDUSTRY; 5=PUBLIC AND SEMI-PUBLIC; 6=PARKS AND OPEN SPACE; 7=FARMLAND; 8=VACANT; 9=RIGHT-OF-WAY. General land use delineations derived from parcel property class, aerial photography and field surveys; based on parcel boundaries. View detailed metadata.

This dataset consists of a map depicting the landcover of the Natchez Trace Parkway. The mapping output was created using mosaiced color infrared aerial photography of the Parkway. The map shows the distribution of 18 landcover classes based on the National Vegetation Classification Standard. Ground-based vegetation classification was provided by the National Park Service (NPS). The mapping output delineates grasses, road-developed areas, scrub-shrub, shrubland, plantation, water bodies, areas of white oak, oak, pine-oak, pine-cedar, pine-sweetgum, sweetgum (including sweetgum-oak), scattered trees, swamp forest, irregular classes, aquatic vegetation, invasive species, canopy gaps, and clouds.

Total mapped area includes a 100 m buffer outside the park boundary. 235 digital orthophoto quarter quadrangles (DOQQs) were required to cover the entire 715 km long Parkway. For ease of use, the DOQQs were grouped into 11 mosaics, each covering a section of the Parkway. At the request of the NPS, each mosaic was divided into ten tiles to allow for efficient loading on less robust computers.

The Right of Ways are not legal survey accurate and should be used for general representation only. They are maintained by the Jefferson County Property Administrator's Office. The data is updated daily.

Jefferson County, WA public parcel (tax map) layer. It is a published representation of real property areas, combined with assessment and tax information from CAMA and Tax systems, and organized for consumption in desktop and web applications. This feature class contains redundant geometry in cases where there are multiple condominium units on a given tax parcel.

This dataset delineates parcels by individual lot within Jefferson County, Colorado