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TwitterThis is a vector file that represents tax parcels boundaries in Monroe County, New York. According to § 102. Definitions (of the Real Property Tax Law of New York State):"Parcel" means a separately assessed lot, parcel, piece or portion of real property, except publicly owned bridges and land used for street, road, highway or parkway purposes. A parcel shall not be bisected by a municipal corporation boundary line except that in a special assessing unit a parcel may be bisected by a school district or village boundary line. For more information on parcels, see the "Parcel" feature class in the RPS_Parcels feature dataset that is maintained by the Monroe County Real Property Services (RPS) department from which this layer was created. The difference between this parcel feature class and the RPS parcel feature class is the latter is updated daily by RPS staff by digitizing new parcel features and does not contain assessment roll data. This layer is recreated biannually by DES staff by joining RPS parcels with the same assessment roll data used to create the Base_County_Parcel_Centroids feature class.
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TwitterThis map data layer represents the GIS Map Panel Boundaries for the City of Bloomington, Indiana. The GIS Map Panel Boundaries data layer was created as a reference grid for the GIS map data. The grid tiles are 3000' by 2000' and cover a total of 86.3 square miles of central Monroe County in Indiana. The panel tiles are located arbitrary to any geographic features
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TwitterThe 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
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TwitterThe Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).
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TwitterThe 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, stairways, and winter trails.
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TwitterA web map used to visualize available digital parcel data for Organized Towns and Unorganized Territories throughout the state of Maine. Individual towns submit parcel data on a voluntary basis; the data are compiled by the Maine Office of GIS for dissemination by the Maine GeoLibrary, and where available, the web map also includes assessor data contained in the Parcels_ADB related table.This web map is intended for use within the Maine Geoparcel Viewer Application; it is not intended for use as a standalone web map.Within Maine, real property data is maintained by the government organization responsible for assessing and collecting property tax for a given location. Organized towns and townships maintain authoritative data for their communities and may voluntarily submit these data to the Maine GeoLibrary Parcel Project. Maine Parcels Organized Towns and Maine Parcels Organized Towns ADB are the product of these voluntary submissions. Communities provide updates to the Maine GeoLibrary on a non-regular basis, sometimes many years apart, which affects the currency of Maine GeoLibrary parcels data. Another resource for real property transaction data is the County Registry of Deeds, although organized town data should very closely match registry information, except in the case of in-process property conveyance transactions.
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TwitterBloomington-Monroe County MPO Planning Area exported from the CIty's GIS. See summary description (txt) file for information about intended use, projection, currency, attributes, etc.
This map data layer represents the Planning Area boundary for Bloomington/Monroe County Indiana Metropolitan Planning Organization (MPO). The Planning Area boundary includes all of the municipal boundaries within the City of Bloomington and Town of Ellettsville, as well as parts of unincorporated Monroe County.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
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Download .zipThe C, D Law Coal Permit Maps county coverage sets were developed using the original mine maps for over 2500 coal mining and reclamation permits issued under Ohio law and finalized (i.e. operations completed) between 1975 and December 2002.
Ohio started issuing coal mining licenses in the 1940s. The earliest license and permit requirements were minimal and did not include submittal of a map or other delineation of the mined area. Significant changes to legal requirements are reflected by the alphabetical designation of each subsequent law revision, i.e., earlier A-law permits (circa 1966) through contemporary D-law permits. The ODNR-Division of Mineral Resources Management (DMRM) has attempted to create as complete a database as possible from available archive records, however, research has identified missing permit files. Thus, this GIS data is known to be incomplete due to the loss of archival records.
The C and D law permit maps were scanned at a density of 200 dots per inch (dpi). The scanned image was then heads-up digitized using Microstation computer aided design software (CAD) to create design files grouped by county location. Data captured within the design file includes permit boundary, affected boundary, test hole locations, and associated attributes. The design file was then "placed-to-ground" using ODNR Division of Geological Survey's "ODNR Land Sub-division Background Design Files" NAD83 State Plane coverages and DOQQ aerial images obtained through the Ohio Geographically Referenced Information Program (OGRIP)/Ohio Department of Administrative Services. The design file was then converted to ARC/INFO coverage and projected to State Plane Ohio Coordinates, NAD83:
Projected coordinate system name: NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet
Geographic coordinate system name: GCS_North_American_1983
A complete county coverage set consists of five data files for the permit area, affected area, and test hole locations. For example, the coverage for Athens County includes:
athens_c_permitted (Athens County, C-permit area polygons) athens_c_affected (Athens County, C-permit affected area polygons) athens_d_permitted (Athens County, D- permit area polygons) athens_d_affected (Athens County, D-permit affected area polygons) athens_testholes (Athens County, Test Hole points)
In addition to the ArcView shape files in the county data sets, the scanned TIF images for source documents are available at DMRM. The scanned mine map depicts information about the operations conducted, environmental resources, and extracted coal resources. If more detailed information is desired, the available archival record for each captured permit can be accessed at either the State Archives at the Ohio Historical Society or the ODNR-DMRM central office.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Mineral Resources ManagementAbandoned Mine Land Program2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed
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TwitterThis data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
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TwitterLink to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information.
This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and nonsoil areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
This data is hosted at, and may be downloaded or accessed from PASDA, the Pennsylvania Spatial Data Access Geospatial Data Clearinghouse http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=188
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TwitterMonroe County, MS has a D wealth grade. Median household income: $51,542. Unemployment rate: 5.8%. Income grows 4.4% yearly.
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TwitterODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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This map data layer represents boundaries for incorporated cities and towns within Monroe County Indiana.
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TwitterThis is a mosaic of 37 scanned and georeferenced plat maps of the City of Rochester, NY, from 1888.Citation: Robinson's Atlas of the City of Rochester, Monroe County, New York, 1888
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This map is made using content created and owned by the federal Department of Housing and Urban Development (Esri user HUD.Official.Content). The map uses their Low to Moderate Income Population by Tract layer, filtered for only census tracts in Monroe County, NY where at least 51% of households earn less than 80 percent of the Area Median Income (AMI). The map is centered on Rochester, NY, with the City of Rochester, NY border added for context. Users can zoom out to see the Revitalization Areas for the broader county region.The Community Development Block Grant (CDBG) program requires that each CDBG funded activity must either principally benefit low- and moderate-income persons, aid in the prevention or elimination of slums or blight, or meet a community development need having a particular urgency because existing conditions pose a serious and immediate threat to the health or welfare of the community and other financial resources are not available to meet that need. With respect to activities that principally benefit low- and moderate-income persons, at least 51 percent of the activity's beneficiaries must be low and moderate income. For CDBG, a person is considered to be of low income only if he or she is a member of a household whose income would qualify as "very low income" under the Section 8 Housing Assistance Payments program. Generally, these Section 8 limits are based on 50% of area median. Similarly, CDBG moderate income relies on Section 8 "lower income" limits, which are generally tied to 80% of area median. These data are derived from the 2011-2015 American Community Survey (ACS) and based on Census 2010 geography.Please refer to the Feature Layer for date of last update.Data Dictionary: DD_Low to Moderate Income Populations by Tract
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters Of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Dataum of 1983 (NSRS-2007).
This data is hosted at, and may be downloaded or accessed from PASDA, the Pennsylvania Spatial Data Access Geospatial Data Clearinghouse http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=2328
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TwitterLink to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information
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TwitterFrom the site: "This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties."
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TwitterThe map is a composite image of spectral bands 3 (630-690 nanometers, red), 4 (775-900 nanometers,near-infrared), and 5 (1,550-1750 nanometers, middle-infrared) and the new panchromatic band (520-900, green to near-infrared) acquired by the Landsat 7 enhanced thematic mapper (ETM) sensor on February 05, 2000.
Both the Western and Eastern halves of the hard-copy map are included in the scanned files.
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TwitterODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This map data layer represents the centerline of roadways for the City of Bloomington, Indiana. It includes source data from the City of Bloomington and Monroe County to create a countywide network. It includes public roads, named private roads, major multi-use trails, and proposed roadways to be constructed. Centerlines outside the City's mapped area may not be positioned accurately. Attributes for centerlines outside the City of Bloomington are updated from information supplied by Monroe County Planning, Monroe County Public Works, and Ellettsville Planning.
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TwitterThis is a vector file that represents tax parcels boundaries in Monroe County, New York. According to § 102. Definitions (of the Real Property Tax Law of New York State):"Parcel" means a separately assessed lot, parcel, piece or portion of real property, except publicly owned bridges and land used for street, road, highway or parkway purposes. A parcel shall not be bisected by a municipal corporation boundary line except that in a special assessing unit a parcel may be bisected by a school district or village boundary line. For more information on parcels, see the "Parcel" feature class in the RPS_Parcels feature dataset that is maintained by the Monroe County Real Property Services (RPS) department from which this layer was created. The difference between this parcel feature class and the RPS parcel feature class is the latter is updated daily by RPS staff by digitizing new parcel features and does not contain assessment roll data. This layer is recreated biannually by DES staff by joining RPS parcels with the same assessment roll data used to create the Base_County_Parcel_Centroids feature class.