5 datasets found
  1. K

    Milwaukee County, Wisconsin Municipal Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 10, 2019
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    Milwaukee County, Wisconsin Municipal Boundaries [Dataset]. https://koordinates.com/layer/101592-milwaukee-county-wisconsin-municipal-boundaries/
    Explore at:
    geopackage / sqlite, dwg, pdf, mapinfo mif, mapinfo tab, geodatabase, csv, kml, shapefileAvailable download formats
    Dataset updated
    May 10, 2019
    Dataset authored and provided by
    Milwaukee County, Wisconsin
    Area covered
    Description

    Geospatial data about Milwaukee County, Wisconsin Municipal Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

  2. a

    Historical Streams USGS Hydro Polyline

    • metro-mil-data-hub-mclio.hub.arcgis.com
    • share-open-data-mmsdgis.hub.arcgis.com
    Updated Aug 3, 2021
    + more versions
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    MILWAUKEE METROPOLITAN SEWERAGE DISTRICT (2021). Historical Streams USGS Hydro Polyline [Dataset]. https://metro-mil-data-hub-mclio.hub.arcgis.com/datasets/mmsdgis::historical-streams-usgs-hydro-polyline
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    Dataset updated
    Aug 3, 2021
    Dataset authored and provided by
    MILWAUKEE METROPOLITAN SEWERAGE DISTRICT
    Area covered
    Description

    In 2012 a joint project was started by the Milwaukee Metropolitan Sewerage District (MMSD) and University of Wisconsin –Milwaukee (UWM) to support MMSD’s Integrated Regional Stormwater Management Program. Digital copies of scans of various historical map sources were collected and georeferenced to Wisconsin State Plane Coordinate Systems (NAD 1927 and NAD 1983). Historical streams and water features in the Milwaukee area were mapped to a geographic information system (GIS). Water features were identified and digitized from the scanned source maps. These features included: Stream lines River lines Lake Michigan Shoreline Pond boundaries Lake boundaries Swamp or marsh boundaries Spring locations An Esri ArcGIS geodatabase was created to house the digitized features and associated attributes as delineated in the scanned source maps. Geographic coverage area: Milwaukee County; Portions of Waukesha, Ozaukee, Washington, and Racine CountySource map used for this data: U.S. Geological Survey, 1901-1906, USGS Historical Topographic Quadrangle Maps, available at https://www.usgs.gov/programs/national-geospatial-program/historical-topographic-maps-preserving-past.

  3. C

    Quarter Sections

    • data.milwaukee.gov
    esri rest, shp +1
    Updated Mar 26, 2025
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    Department of Public Works (2025). Quarter Sections [Dataset]. https://data.milwaukee.gov/dataset/quarter-sections
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    website, shp(60327), esri restAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    Department of Public Works
    License

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

    Description

    Update frequency: as needed

    Full quarter sections within Milwaukee County. These maps show engineering and tax information regarding parcels within the county and municipalities. Please visit our Quarter Section Lookup web app to download PDFs of individual engineering and tax quarter section maps.

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

  4. WIBR Crime Data (Current)

    • data.milwaukee.gov
    csv
    Updated Mar 26, 2025
    + more versions
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    Milwaukee Police Department (2025). WIBR Crime Data (Current) [Dataset]. https://data.milwaukee.gov/dataset/wibr
    Explore at:
    csv(117409245)Available download formats
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    Milwaukee Police Departmenthttp://city.milwaukee.gov/police
    License

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

    Description

    Update Frequency: Daily

    Current year to date. The data included in this dataset has been reviewed and approved by a Milwaukee Police Department supervisor and the Milwaukee Police Department’s Records Management Division. This approval process can take a few weeks from the reported date of the crime. For preliminary crime data, please visit the Milwaukee Police Department’s Crime Maps and Statistics dashboard at https://city.milwaukee.gov/police/Information-Services/Crime-Maps-and-Statistics.

    Wisconsin Incident Based Report (WIBR) Group A Offenses.

    The Crime Data represents incident level data defined by Wisconsin Incident Based Reporting System (WIBRS) codes. WIBRS reporting is a crime reporting standard and can not be compared to any previous UCR report. Therefore, the Crime Data may reflect:

    • Information not yet verified by further investigation
    • Preliminary crime classifications that may be changed at a later date based upon further investigation
    • Information that may include mechanical or human error

    Neither the City of Milwaukee nor the Milwaukee Police Department guarantee (either express or implied) the accuracy, completeness, timeliness, or correct sequencing of the Crime Data. The City of Milwaukee and the Milwaukee Police Department shall have no liability for any error or omission, or for the use of, or the results obtained from the use of the Crime Data. In addition, the City of Milwaukee and the Milwaukee Police Department caution against using the Crime Data to make decisions/comparisons regarding the safety of or the amount of crime occurring in a particular area. When reviewing the Crime Data, the site user should consider that:

    • The information represents only police services where a report was made and does not include other calls for police service
    • The information does not reflect or certify "safe" or "unsafe" areas
    • The information will sometimes reflect where the crime was reported versus where the crime occurred

    This data is not intended to represent a total number/sum of crimes, rather 1 = True and 0 = False.

    The use of the Crime Data indicates the site user's unconditional acceptance of all risks associated with the use of the Crime Data.

    To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page. XY fields in data is in projection Wisconsin State Plane South NAD27 (WKID 32054).

  5. Home Owners' Loan Corporation (HOLC) Neighborhood Redlining Grade

    • gis-for-racialequity.hub.arcgis.com
    Updated Jul 23, 2020
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    Urban Observatory by Esri (2020). Home Owners' Loan Corporation (HOLC) Neighborhood Redlining Grade [Dataset]. https://gis-for-racialequity.hub.arcgis.com/maps/063cdb28dd3a449b92bc04f904256f62
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    Dataset updated
    Jul 23, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    The Home Owners' Loan Corporation (HOLC) was created in the New Deal Era and trained many home appraisers in the 1930s. The HOLC created a neighborhood ranking system infamously known today as redlining. Local real estate developers and appraisers in over 200 cities assigned grades to residential neighborhoods. These maps and neighborhood ratings set the rules for decades of real estate practices. The grades ranged from A to D. A was traditionally colored in green, B was traditionally colored in blue, C was traditionally colored in yellow, and D was traditionally colored in red. A (Best): Always upper- or upper-middle-class White neighborhoods that HOLC defined as posing minimal risk for banks and other mortgage lenders, as they were "ethnically homogeneous" and had room to be further developed.B (Still Desirable): Generally nearly or completely White, U.S. -born neighborhoods that HOLC defined as "still desirable" and sound investments for mortgage lenders.C (Declining): Areas where the residents were often working-class and/or first or second generation immigrants from Europe. These areas often lacked utilities and were characterized by older building stock.D (Hazardous): Areas here often received this grade because they were "infiltrated" with "undesirable populations" such as Jewish, Asian, Mexican, and Black families. These areas were more likely to be close to industrial areas and to have older housing.Banks received federal backing to lend money for mortgages based on these grades. Many banks simply refused to lend to areas with the lowest grade, making it impossible for people in many areas to become homeowners. While this type of neighborhood classification is no longer legal thanks to the Fair Housing Act of 1968 (which was passed in large part due to the activism and work of the NAACP and other groups), the effects of disinvestment due to redlining are still observable today. For example, the health and wealth of neighborhoods in Chicago today can be traced back to redlining (Chicago Tribune). In addition to formerly redlined neighborhoods having fewer resources such as quality schools, access to fresh foods, and health care facilities, new research from the Science Museum of Virginia finds a link between urban heat islands and redlining (Hoffman, et al., 2020). This layer comes out of that work, specifically from University of Richmond's Digital Scholarship Lab. More information on sources and digitization process can be found on the Data and Download and About pages. NOTE: This map has been updated as of 1/16/24 to use a newer version of the data layer which contains more cities than it previously did. As mentioned above, over 200 cities were redlined and therefore this is not a complete dataset of every city that experienced redlining by the HOLC in the 1930s. Map opens in Sacramento, CA. Use bookmarks or the search bar to get to other cities.Cities included in this mapAlabama: Birmingham, Mobile, MontgomeryArizona: PhoenixArkansas: Arkadelphia, Batesville, Camden, Conway, El Dorado, Fort Smith, Little Rock, Russellville, TexarkanaCalifornia: Fresno, Los Angeles, Oakland, Sacramento, San Diego, San Francisco, San Jose, StocktonColorado: Boulder, Colorado Springs, Denver, Fort Collins, Fort Morgan, Grand Junction, Greeley, Longmont, PuebloConnecticut: Bridgeport and Fairfield; Hartford; New Britain; New Haven; Stamford, Darien, and New Canaan; WaterburyFlorida: Crestview, Daytona Beach, DeFuniak Springs, DeLand, Jacksonville, Miami, New Smyrna, Orlando, Pensacola, St. Petersburg, TampaGeorgia: Atlanta, Augusta, Columbus, Macon, SavannahIowa: Boone, Cedar Rapids, Council Bluffs, Davenport, Des Moines, Dubuque, Sioux City, WaterlooIllinois: Aurora, Chicago, Decatur, East St. Louis, Joliet, Peoria, Rockford, SpringfieldIndiana: Evansville, Fort Wayne, Indianapolis, Lake County Gary, Muncie, South Bend, Terre HauteKansas: Atchison, Greater Kansas City, Junction City, Topeka, WichitaKentucky: Covington, Lexington, LouisvilleLouisiana: New Orleans, ShreveportMaine: Augusta, Boothbay, Portland, Sanford, WatervilleMaryland: BaltimoreMassachusetts: Arlington, Belmont, Boston, Braintree, Brockton, Brookline, Cambridge, Chelsea, Dedham, Everett, Fall River, Fitchburg, Haverhill, Holyoke Chicopee, Lawrence, Lexington, Lowell, Lynn, Malden, Medford, Melrose, Milton, Needham, New Bedford, Newton, Pittsfield, Quincy, Revere, Salem, Saugus, Somerville, Springfield, Waltham, Watertown, Winchester, Winthrop, WorcesterMichigan: Battle Creek, Bay City, Detroit, Flint, Grand Rapids, Jackson, Kalamazoo, Lansing, Muskegon, Pontiac, Saginaw, ToledoMinnesota: Austin, Duluth, Mankato, Minneapolis, Rochester, Staples, St. Cloud, St. PaulMississippi: JacksonMissouri: Cape Girardeau, Carthage, Greater Kansas City, Joplin, Springfield, St. Joseph, St. LouisNorth Carolina: Asheville, Charlotte, Durham, Elizabeth City, Fayetteville, Goldsboro, Greensboro, Hendersonville, High Point, New Bern, Rocky Mount, Statesville, Winston-SalemNorth Dakota: Fargo, Grand Forks, Minot, WillistonNebraska: Lincoln, OmahaNew Hampshire: ManchesterNew Jersey: Atlantic City, Bergen County, Camden, Essex County, Monmouth, Passaic County, Perth Amboy, Trenton, Union CountyNew York: Albany, Binghamton/Johnson City, Bronx, Brooklyn, Buffalo, Elmira, Jamestown, Lower Westchester County, Manhattan, Niagara Falls, Poughkeepsie, Queens, Rochester, Schenectady, Staten Island, Syracuse, Troy, UticaOhio: Akron, Canton, Cleveland, Columbus, Dayton, Hamilton, Lima, Lorain, Portsmouth, Springfield, Toledo, Warren, YoungstownOklahoma: Ada, Alva, Enid, Miami Ottawa County, Muskogee, Norman, Oklahoma City, South McAlester, TulsaOregon: PortlandPennsylvania: Allentown, Altoona, Bethlehem, Chester, Erie, Harrisburg, Johnstown, Lancaster, McKeesport, New Castle, Philadelphia, Pittsburgh, Wilkes-Barre, YorkRhode Island: Pawtucket & Central Falls, Providence, WoonsocketSouth Carolina: Aiken, Charleston, Columbia, Greater Anderson, Greater Greensville, Orangeburg, Rock Hill, Spartanburg, SumterSouth Dakota: Aberdeen, Huron, Milbank, Mitchell, Rapid City, Sioux Falls, Vermillion, WatertownTennessee: Chattanooga, Elizabethton, Erwin, Greenville, Johnson City, Knoxville, Memphis, NashvilleTexas: Amarillo, Austin, Beaumont, Dallas, El Paso, Forth Worth, Galveston, Houston, Port Arthur, San Antonio, Waco, Wichita FallsUtah: Ogden, Salt Lake CityVirginia: Bristol, Danville, Harrisonburg, Lynchburg, Newport News, Norfolk, Petersburg, Phoebus, Richmond, Roanoke, StauntonVermont: Bennington, Brattleboro, Burlington, Montpelier, Newport City, Poultney, Rutland, Springfield, St. Albans, St. Johnsbury, WindsorWashington: Seattle, Spokane, TacomaWisconsin: Kenosha, Madison, Milwaukee County, Oshkosh, RacineWest Virginia: Charleston, Huntington, WheelingAn example of a map produced by the HOLC of Philadelphia:

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Milwaukee County, Wisconsin Municipal Boundaries [Dataset]. https://koordinates.com/layer/101592-milwaukee-county-wisconsin-municipal-boundaries/

Milwaukee County, Wisconsin Municipal Boundaries

Explore at:
geopackage / sqlite, dwg, pdf, mapinfo mif, mapinfo tab, geodatabase, csv, kml, shapefileAvailable download formats
Dataset updated
May 10, 2019
Dataset authored and provided by
Milwaukee County, Wisconsin
Area covered
Description

Geospatial data about Milwaukee County, Wisconsin Municipal Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

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