40 datasets found
  1. TIGER/Line Shapefile, Current, State, Wisconsin, State Legislative District...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Aug 8, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, State, Wisconsin, State Legislative District (SLD) Lower Chamber [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-wisconsin-state-legislative-district-sld-lower-chamber
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    Dataset updated
    Aug 8, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Wisconsin
    Description

    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. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate - SLDU) and lower (house - SLDL) chambers of the state legislature. Nebraska has a unicameral legislature, and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. States that had SLDL updates between the previous and current session include Georgia, Michigan, Minnesota, Montana, New York, North Carolina, North Dakota, Ohio, South Carolina, Washington, and Wisconsin. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDLs to cover the entirety of the state or state equivalent area. In the areas with no SLDLs defined, the code "ZZZ" has been assigned, which is treated as a single SLDL for purposes of data presentation. There are no SLDL TIGER/Line shapefiles for the District of Columbia, Nebraska, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). The state legislative district boundaries reflect information provided to the Census Bureau by the states by May 31, 2024.

  2. 2023 Cartographic Boundary File (KML), Block Group for Wisconsin, 1:500,000

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (KML), Block Group for Wisconsin, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-kml-block-group-for-wisconsin-1-500000
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    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Wisconsin
    Description

    The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  3. County Boundaries 24K

    • data-wi-dnr.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 4, 2017
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    Wisconsin Department of Natural Resources (2017). County Boundaries 24K [Dataset]. https://data-wi-dnr.opendata.arcgis.com/datasets/county-boundaries-24k
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    Dataset updated
    Jan 4, 2017
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    This data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.

  4. Census of Population and Housing, 2000 [United States]: 1998 Dress...

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    United States. Bureau of the Census (2006). Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, P.L. 94-171 Redistricting Data, Geographic Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin [Dataset]. http://doi.org/10.3886/ICPSR02913.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2913/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2913/terms

    Time period covered
    1998
    Area covered
    Columbia, South Carolina, Sacramento, United States, California, South Carolina, Wisconsin
    Description

    The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological

  5. a

    WI Senate Districts (2002)

    • gis-ltsb.hub.arcgis.com
    Updated Sep 27, 2024
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    Wisconsin State Legislature (2024). WI Senate Districts (2002) [Dataset]. https://gis-ltsb.hub.arcgis.com/maps/LTSB::wi-senate-districts-2002
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    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Wisconsin State Legislature
    Area covered
    Description

    2002 Wisconsin State Senate Districts.

  6. a

    WI Assembly Districts (2002)

    • gis-ltsb.hub.arcgis.com
    Updated Sep 27, 2024
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    Wisconsin State Legislature (2024). WI Assembly Districts (2002) [Dataset]. https://gis-ltsb.hub.arcgis.com/datasets/wi-assembly-districts-2002-1
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    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Wisconsin State Legislature
    Area covered
    Description

    2002 Assembly Districts: Districts as created by the Federal Court Redistricting Decision dated May 22, 2002. The districts were effective as of May 30, 2002, when the U.S. District Court for the Eastern District of Wisconsin issued its decision in Baumgart et al. v. Wendelberger et al. The plan used the statewide municipal ward dataset created by local officials using U.S. Census Bureau's TIGER 2000 data and annexations up to August 1, 2001.

  7. a

    Technical College Districts, Wisconsin

    • data-wi-dpi.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 1, 2018
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    Wisconsin Department of Public Instruction (2018). Technical College Districts, Wisconsin [Dataset]. https://data-wi-dpi.opendata.arcgis.com/datasets/0fdad1436fc04ebf85ba7839dad3ab79
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    Dataset updated
    Mar 1, 2018
    Dataset authored and provided by
    Wisconsin Department of Public Instruction
    Area covered
    Description

    This dataset includes boundaries for the Wisconsin Technical College System districts. This layer was created using unified and secondary public school district boundaries for the state of Wisconsin. Authoritative information used to create this dataset came from the Wisconsin Technical College board policy manual which was current as of August 2021 and last updated in April 2020.

  8. a

    Congressional Districts 2022

    • gis-calumet.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Oct 14, 2022
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    Calumet Maps (2022). Congressional Districts 2022 [Dataset]. https://gis-calumet.hub.arcgis.com/maps/calumet::congressional-districts-2022
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    Dataset updated
    Oct 14, 2022
    Dataset authored and provided by
    Calumet Maps
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Calumet County Congressional Districts created from the 2020 redistricting process.

  9. W

    Dane County, Wisconsin (Base Map)

    • wgnhs.wisc.edu
    pdf
    Updated Oct 30, 2025
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    (2025). Dane County, Wisconsin (Base Map) [Dataset]. https://wgnhs.wisc.edu/catalog/publication/000690
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    pdfAvailable download formats
    Dataset updated
    Oct 30, 2025
    Area covered
    Dane County, Wisconsin
    Description

    Open-file report; contains unpublished data that has not yet been peer-reviewed.

  10. a

    Alder Districts

    • data-cityofmadison.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 6, 2017
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    City of Madison Map Data (2017). Alder Districts [Dataset]. https://data-cityofmadison.opendata.arcgis.com/maps/alder-districts-1
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    Dataset updated
    Feb 6, 2017
    Dataset authored and provided by
    City of Madison Map Data
    Area covered
    Description

    City of Madison Alder Districts.This data layer is used by the Development Information application.

  11. a

    WI County Supervisory Districts (July 2025)

    • hub.arcgis.com
    • gis-ltsb.hub.arcgis.com
    Updated Aug 8, 2025
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    Wisconsin State Legislature (2025). WI County Supervisory Districts (July 2025) [Dataset]. https://hub.arcgis.com/datasets/e015228c44d64e128a3f8cfb8b0bf915
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Wisconsin State Legislature
    Area covered
    Description

    LTSB dissolves municipal ward data into county supervisory districts. Wisconsin municipal ward data was collected in July 2025. [Attribute Definitions]. This data has been collected in regards to state statute 15(4)(br)1. County clerks will transmit municipal, municipal ward, and county supervisory districts in GIS format to LTSB by January 15th and July 15th* per statute 5.15(4)(br)1: "...no later than January 15 and July 15 of each year*, the county clerk shall transmit to the Legislative Technology Services Bureau a report confirming the boundaries of each municipality, ward, and supervisory district in the county together with a map of the county, in an electronic format approved by the Legislative Technology Services Bureau. Each report shall be current to the nearest January 1 or July 1* preceding the date of the report”. (*with the exception of years ending in “01” where data collection will align closer to typical redistricting timelines of March and October 15)Municipal clerks need to notify the county clerk within 5 days of any boundary change per statute 5.15(4)(b): "Within 5 days after adoption or enactment of an ordinance or resolution under this section or any amendment thereto, the municipal clerk shall transmit one copy of the ordinance or resolution or the amendment to the county clerk of each county in which the municipality is contained, accompanied by the list and map specified in par. (a). Each copy shall identify the name of the municipality and the county or counties in which it is located."Municipal data collected in the January collections will be used by LTSB to update municipal boundaries the U.S. Census Bureau’s TIGER database via the Boundary Annexation Survey (BAS). Counties and municipalities are no longer required to submit boundary changes directly to the Census Bureau. LTSB will submit data to the Census Bureau for the state as a whole. Section 13.96(1)(b) of the Wisconsin Statutes requires LTSB to “upon receipt of municipal boundary information at each reporting interval, reconcile and compile the information received to produce a statewide data base consisting of municipal boundary information for the entire state”. Section 13.96(1)(c) states that LTSB shall “Participate, on behalf of this state, in geographic boundary information programs when offered by the U.S. bureau of the census”. LTSB will publish Municipal Wards, Municipal Boundaries (cities, towns, villages), and County Supervisory Districts to the LTSB HUB Data Portal. This data has been collected with the LTSB GeoData Collector.

  12. W

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, GREEN COUNTY, WISCONSIN (AND...

    • cloud.csiss.gmu.edu
    • datasets.ai
    • +3more
    Updated Mar 5, 2021
    + more versions
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    United States (2021). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, GREEN COUNTY, WISCONSIN (AND INCORPORATED AREAS) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/digital-flood-insurance-rate-map-database-green-county-wisconsin-and-incorporated-areas
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    Dataset updated
    Mar 5, 2021
    Dataset provided by
    United States
    Area covered
    Green County, Wisconsin
    Description

    The 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). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

  13. W

    Shaded Relief Map of Sauk County, Wisconsin

    • wgnhs.wisc.edu
    pdf
    Updated Oct 30, 2025
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    (2025). Shaded Relief Map of Sauk County, Wisconsin [Dataset]. https://wgnhs.wisc.edu/catalog/publication/000829
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    pdfAvailable download formats
    Dataset updated
    Oct 30, 2025
    Area covered
    Sauk County, Wisconsin
    Description

    Open-file report; contains unpublished data that has not yet been peer-reviewed.

  14. W

    Groundwater Recharge Map of Columbia County, Wisconsin

    • wgnhs.wisc.edu
    pdf, zip
    Updated Oct 30, 2025
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    (2025). Groundwater Recharge Map of Columbia County, Wisconsin [Dataset]. https://wgnhs.wisc.edu/catalog/publication/000901
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    zip, pdfAvailable download formats
    Dataset updated
    Oct 30, 2025
    Area covered
    Columbia County, Wisconsin
    Description

    Open-file report; contains unpublished data that has not yet been peer-reviewed.

  15. WI Wetland Management District Boundaries

    • gis-fws.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 15, 2017
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    U.S. Fish & Wildlife Service (2017). WI Wetland Management District Boundaries [Dataset]. https://gis-fws.opendata.arcgis.com/maps/7ef07aad899e4cdaad0ecdf95ab5128f
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    Dataset updated
    Jun 15, 2017
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This dataset delineates the boundaries of the St. Croix and Leopold Wetland Management Districts as of May 2017. The primary source for this information is the USFWS Realty program, current in May 2017 and not beyond. The audience of this map is the general public, particularly those with an interest in Migratory Bird Conservation Fund acquisitions within the NWR system.

  16. W

    Data from: Preliminary Geologic Map of the Buried Bedrock Surface, Brown...

    • wgnhs.wisc.edu
    pdf
    Updated Oct 30, 2025
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    (2025). Preliminary Geologic Map of the Buried Bedrock Surface, Brown County, Wisconsin [Dataset]. https://wgnhs.wisc.edu/catalog/publication/000896
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    pdfAvailable download formats
    Dataset updated
    Oct 30, 2025
    Area covered
    Brown County, Wisconsin
    Description

    Open-file report; contains unpublished data that has not yet been peer-reviewed.

  17. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Douglas COUNTY, WISCONSIN, USA

    • data.wu.ac.at
    arce, mif, shp
    Updated Nov 14, 2017
    + more versions
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    Federal Emergency Management Agency, Department of Homeland Security (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Douglas COUNTY, WISCONSIN, USA [Dataset]. https://data.wu.ac.at/schema/data_gov/NGU1MmMxNGUtMGU5NS00NDg5LWFmMGMtYmRjNmEyMWM5ODUy
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    mif, shp, arceAvailable download formats
    Dataset updated
    Nov 14, 2017
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    f949963082b70ab773b586351000f33d55c417d0
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk; classificatons 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). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  18. a

    Sewer Service Area Boundaries (All)

    • hub.arcgis.com
    Updated Oct 23, 2014
    + more versions
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    ECWRPC (2014). Sewer Service Area Boundaries (All) [Dataset]. https://hub.arcgis.com/maps/9b6c6ab3dc1b4041937ba174246c96c9
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    Dataset updated
    Oct 23, 2014
    Dataset authored and provided by
    ECWRPC
    Area covered
    Description

    Sewer Service Area (SSA) Plans have been developed for twenty-six 208 Water Quality Areas within the Designated ‘208’ Water Quality Planning Area of the East Central Region. SSA Plans are required underWisconsin Administrative Code NR-121 for certain communities within Wisconsin and assist in maintaining and improving water quality within the State by outlining areas which are able to accommodate sewered development in a well-managed environment as well as delineatingEnvironmentally Sensitive Areas which preclude such development. SSA Plans also serve as the long-term plan (20-40 years) for the community’s wastewater treatment plant and collection infrastructure and are used as guidance during the Facilities Planning process established under Wisconsin Administrative Code NR-110. East Central prepares and administers SSA Plans under an agreement and funding arrangement with the Wisconsin Department of Natural Resources. The plans are meant to be flexible and are periodically updated (approximately every 5-6 years) in order to accommodate unanticipated changes in the community. All twenty-six SSA Plans, initially prepared in 1985, will have been updated at least once by the end of 2002. An SSA Plan Update Schedule has been developed for future plan updates which will ensure their review on a timely basis. This schedule will be subject to some changes based on timing, funding, and other local priorities. SSA Plan amendments and updates are reviewed/completed by staff and submitted to the Commission’s Community Facilities Committee (CFC) and/or the full Commission for approval. Once the Commission has approved the plan modification, it is submitted to the WDNR for final review and certification. Please note that the plan amendment process can take up to 3 months from start to finish! The Commission’s SSA Amendment procedures are contained within the individual SSA Plan documents. Additional, general information on Sewer Service Area Plans can be found on the Wisconsin DNR’s Sewer Service Area Planning Web Page. East Central is also responsible for the review of public sanitary sewer extensions, facilities plans, and the subsequent issuance of Water Quality Management Letters (sometimes referred to as ‘WQM’ or ‘208’ letters). These letters are required by WDNR to ensure that the proposed project is consistent with the existing Water Quality Management SSA) Plan. Please note that the ‘208’ review process can take up to 30 days and submittals should allow for this!

  19. C

    Alder Districts

    • data.milwaukee.gov
    esri rest, shp
    Updated Dec 2, 2025
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    Election Commission (2025). Alder Districts [Dataset]. https://data.milwaukee.gov/dataset/aldermanic-districts
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    shp(58100), esri rest, shp(113353), shp(85573), shp(48796)Available download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Election Commission
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Update frequency: every ten years.

    Milwaukee is divided into 15 Alder Districts, this file is a geographical representation of those boundaries.

    District boundaries and numbering have not changed since 2012. Any updates to these data-sets since 2012 will represent changes to Alder district information in the attribute table.

    Prior to April 20, 2004, the district boundaries for purposes of representation existed as found in the 1992 file.

    Shapefile is projected in Wisconsin State Plane South NAD27 (WKID 32054)

  20. W

    Preliminary Quaternary Geologic Map of St. Croix County, Wisconsin

    • wgnhs.wisc.edu
    pdf
    Updated Oct 30, 2025
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    (2025). Preliminary Quaternary Geologic Map of St. Croix County, Wisconsin [Dataset]. https://wgnhs.wisc.edu/catalog/publication/000855
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    pdfAvailable download formats
    Dataset updated
    Oct 30, 2025
    Area covered
    St. Croix County, Wisconsin
    Description

    Open-file report; contains unpublished data that has not yet been peer-reviewed.

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U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, State, Wisconsin, State Legislative District (SLD) Lower Chamber [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-wisconsin-state-legislative-district-sld-lower-chamber
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TIGER/Line Shapefile, Current, State, Wisconsin, State Legislative District (SLD) Lower Chamber

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Dataset updated
Aug 8, 2025
Dataset provided by
United States Census Bureauhttp://census.gov/
Area covered
Wisconsin
Description

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. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate - SLDU) and lower (house - SLDL) chambers of the state legislature. Nebraska has a unicameral legislature, and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. States that had SLDL updates between the previous and current session include Georgia, Michigan, Minnesota, Montana, New York, North Carolina, North Dakota, Ohio, South Carolina, Washington, and Wisconsin. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDLs to cover the entirety of the state or state equivalent area. In the areas with no SLDLs defined, the code "ZZZ" has been assigned, which is treated as a single SLDL for purposes of data presentation. There are no SLDL TIGER/Line shapefiles for the District of Columbia, Nebraska, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). The state legislative district boundaries reflect information provided to the Census Bureau by the states by May 31, 2024.

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