14 datasets found
  1. C

    Chicago Zip Code and Neighborhood Map

    • data.cityofchicago.org
    application/rdfxml +5
    Updated May 14, 2014
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    City of Chicago (2014). Chicago Zip Code and Neighborhood Map [Dataset]. https://data.cityofchicago.org/w/mapn-ahfc/3q3f-6823?cur=sWhn4ORh8HP&from=root
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    xml, application/rdfxml, csv, json, application/rssxml, tsvAvailable download formats
    Dataset updated
    May 14, 2014
    Authors
    City of Chicago
    Area covered
    Chicago
    Description

    ZIP Code boundaries in Chicago. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ).

  2. d

    Performance Metrics - Innovation & Technology - Map Chicago Website...

    • catalog.data.gov
    • data.cityofchicago.org
    • +3more
    Updated Jan 19, 2024
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    data.cityofchicago.org (2024). Performance Metrics - Innovation & Technology - Map Chicago Website Availability [Dataset]. https://catalog.data.gov/dataset/performance-metrics-innovation-technology-map-chicago-website-availability
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    Dataset updated
    Jan 19, 2024
    Dataset provided by
    data.cityofchicago.org
    Area covered
    Chicago
    Description

    The Map Chicago Website allows users to view neighborhoods, communities, political boundaries and points of interest throughout the city of Chicago. The percentage of the Map Chicago website uptime, the amount of time the site was available, and the target uptime for each week are available by mousing over columns. The target availability for this site is 99.5%.

  3. C

    Boundaries - Zoning Districts (current) - Map

    • data.cityofchicago.org
    application/rdfxml +5
    Updated Dec 27, 2024
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    City of Chicago (2024). Boundaries - Zoning Districts (current) - Map [Dataset]. https://data.cityofchicago.org/w/7cve-jgbp/3q3f-6823?cur=K2qbY3RuySP
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    csv, application/rssxml, application/rdfxml, json, tsv, xmlAvailable download formats
    Dataset updated
    Dec 27, 2024
    Dataset authored and provided by
    City of Chicago
    Description

    Zoning district boundaries by type and classification.Chicago is divided into zoning districts that regulate land use activities across the city. Data is based on the Chicago Zoning Ordinance and Land Use Ordinance (https://codelibrary.amlegal.com/codes/chicago/latest/chicagozoning_il/0-0-0-48006). Zoning Types are defined in this ordinance. For additional information about business uses, review the License/Zoning Reference (LZR) Guide (http://bit.ly/vvGzne), which is based on the Municipal Code and is intended to assist business owners in determining the proper zoning district and primary business license for specific business types. Related Applications: Zoning Map (https://gisapps.cityofchicago.org/zoning/)

  4. Tax Increment Financing (TIF) Projects - Map

    • data.wu.ac.at
    Updated Jul 11, 2018
    + more versions
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    cocadmin (2018). Tax Increment Financing (TIF) Projects - Map [Dataset]. https://data.wu.ac.at/schema/data_cityofchicago_org/djNhMy1oaHFu
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    Dataset updated
    Jul 11, 2018
    Dataset provided by
    COCADMIN
    Description

    This dataset is a comprehensive list of every project in every TIF District that has received funding from the City of Chicago via the TIF program from the inception of TIF to current. Public Infrastructure projects are not included in this dataset. For more information on the Tax Increment Financing program, please see http://cityofchicago.org/tif.

  5. Farmers Market - 2015 - Map

    • data.wu.ac.at
    Updated Jul 11, 2018
    + more versions
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    cocadmin (2018). Farmers Market - 2015 - Map [Dataset]. https://data.wu.ac.at/odso/data_cityofchicago_org/eHdrMi1jM2Vj
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    Dataset updated
    Jul 11, 2018
    Dataset provided by
    COCADMIN
    Description

    Chicago's Farmers Markets bring more than 70 vendors selling fresh fruits, vegetables, plants and flowers to neighborhoods throughout the City of Chicago. Markets are held Tuesday, Wednesday, Thursday, Saturday and Sunday around the city.

  6. C

    Boundaries - Empowerment Zones

    • data.cityofchicago.org
    • datadiscoverystudio.org
    • +3more
    application/rdfxml +5
    Updated Dec 22, 2010
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    City of Chicago (2010). Boundaries - Empowerment Zones [Dataset]. https://data.cityofchicago.org/Community-Economic-Development/Boundaries-Empowerment-Zones/m6ef-sjkj
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    application/rdfxml, csv, json, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Dec 22, 2010
    Dataset authored and provided by
    City of Chicago
    Description

    Empowerment Zone boundaries in Chicago. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS, is required. The Empowerment Zones/Enterprise Communities program (EZ/EC) is a Federal, State, local government partnership for stimulating comprehensive renewal--particularly economic growth and social development--in distressed urban neighborhoods and rural areas across the nation. For more information, go to http://www.hud.gov/offices/cpd/economicdevelopment/programs/rc/.

  7. a

    Chicago Presbyterian churches and neighborhood houses, 1930

    • hub.arcgis.com
    • library-uchicago.opendata.arcgis.com
    Updated Aug 2, 2019
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    University of Chicago (2019). Chicago Presbyterian churches and neighborhood houses, 1930 [Dataset]. https://hub.arcgis.com/datasets/8e811365dc37486f9be948bf9d71409e
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    Dataset updated
    Aug 2, 2019
    Dataset authored and provided by
    University of Chicago
    Area covered
    Description

    This map is part of a collection of 10 maps showing the location of Presbyterian Churches in relation to ethnic groups in the city of Chicago. The manuscript title is "The effects of subsity of Presbyterian Churches", by Henry Hughes Presler, and can be found at Mansueto Library, University of Chicago under the call number BX 10999. These maps have been outlined and vectorized as the originals, and points placed for location of churches as they were in the original. Call number for the maps: G4104.C6E1 1948.H6. Map Collection, Regenstein Library, University of Chicago. drawn from Map 8 - Locations of Presbyterian churches and neighborhood houses in relation to ethnic groups in the city of Chicago, by Census Tracts, 1930.

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

    • gis-for-racialequity.hub.arcgis.com
    • cityscapes-projects-gisanddata.hub.arcgis.com
    Updated Jul 24, 2020
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    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 24, 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:

  9. Chicago Public Schools - High School Attendance Boundaries SY2425

    • data.cityofchicago.org
    • catalog.data.gov
    Updated Sep 27, 2024
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    Chicago Public Schools (2024). Chicago Public Schools - High School Attendance Boundaries SY2425 [Dataset]. https://data.cityofchicago.org/Education/Chicago-Public-Schools-High-School-Attendance-Boun/4kfz-zr3a
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    xml, csv, application/rdfxml, application/geo+json, kmz, application/rssxml, tsv, kmlAvailable download formats
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    Chicago Public School District 299
    Authors
    Chicago Public Schools
    Area covered
    Chicago Public School District 299, Chicago
    Description

    Attendance boundaries for high schools in the Chicago Public Schools district for school year 2024-2025.

    This dataset is in a forma​​t for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map.

    To export the data in either tabular or geographic format, please use the Export button on this dataset.

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

    • sal-urichmond.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Jun 24, 2020
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    Urban Observatory by Esri (2020). Home Owners' Loan Corporation (HOLC) Neighborhood Redlining Grade [Dataset]. https://sal-urichmond.hub.arcgis.com/maps/UrbanObservatory::home-owners-loan-corporation-holc-neighborhood-redlining-grade/about
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    Dataset updated
    Jun 24, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    There is a newer and more authoritative version of this layer here! It is owned by the University of Richmond's Digital Scholarship Lab and contains data on many more cities.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. This layer includes 7,148 neighborhoods spanning 143 cities across the continental United States. NOTE: 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. More cities are available in this feature layer from University of Richmond.Cities included in this layerAlabama: Birmingham, Mobile, MontgomeryCalifornia: Fresno, Los Angeles, Sacramento, San Diego, San Francisco, San Jose, StocktonColorado: DenverConnecticut: East Hartford, New Britain, New Haven, StamfordFlorida: Jacksonville, Miami, St. Petersburg, TampaGeorgia: Atlanta, Augusta, Chattanooga, Columbus, MaconIllinois: Aurora, Chicago, Decatur, Joliet, GaryIndiana: Evansville, Fort Wayne, Indianapolis, Gary, Muncie, South Bend, Terre HauteKansas: Greater Kansas City, WichitaKentucky: Lexington, LouisvilleLouisiana: New OrleansMassachusetts: Arlington, Belmont, Boston, Braintree, Brockton, Brookline, Cambridge, Chelsea, Dedham, Everett, Haverhill, Holyoke Chicopee, Lexington, Malden, Medford, Melrose, Milton, Needham, Newton, Quincy, Revere, Saugus, Somerville, Waltham, Watertown, Winchester, WinthropMaryland: BaltimoreMichigan: Battle Creek, Bay City, Detroit, Flint, Grand Rapids, Kalamazoo, Muskegon, Pontiac, Saginaw, ToledoMinnesota: Duluth, MinneapolisMissouri: Greater Kansas City, Springfield, St. Joseph, St. LouisNorth Carolina: Asheville, Charlotte, Durham, Greensboro, Winston SalemNew Hampshire: ManchesterNew Jersey: Atlantic City, Bergen Co., Camden, Essex County, Hudson County, TrentonNew York: Bronx, Brooklyn, Buffalo, Elmira, Binghamton/Johnson City, Lower Westchester Co., Manhattan, Niagara Falls, Poughkeepsie, Queens, Rochester, Staten Island, Syracuse, UticaOhio: Akron, Canton, Cleveland, Columbus, Dayton, Hamilton, Lima, Lorrain, Portsmouth, Springfield, Toledo, Warren, YoungstownOregon: PortlandPennsylvania: Altoona, Erie, Johnstown, New Castle, Philadelphia, PittsburghSouth Carolina: AugustaTennessee: Chattanooga, KnoxvilleTexas: DallasVirginia: Lynchburg, Norfolk, Richmond, RoanokeWashington: Seattle, Spokane, TacomaWisconsin: Kenosha, Milwaukee, Oshkosh, RacineWest Virginia: Charleston, WheelingAn example of a map produced by the HOLC of Philadelphia:

  11. a

    Racial, National, and Industrial Localities, 1921

    • columbus.hub.arcgis.com
    Updated Jul 18, 2014
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    City of Columbus Maps & Apps (2014). Racial, National, and Industrial Localities, 1921 [Dataset]. https://columbus.hub.arcgis.com/maps/9c0f23e652164a159279e55b19ef604b
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    Dataset updated
    Jul 18, 2014
    Dataset authored and provided by
    City of Columbus Maps & Apps
    Area covered
    Description

    Sociologist Roderick D. McKenzie taught at Ohio State in the early 1920s while completing his dissertation on the urban and neighborhood geography of Columbus. One of McKenzie's maps delineated themes common with the Chicago School of Sociology urban geography focus: race and ethnicity. McKenzie's data provides a snapshot of the racial and ethnic geography of Columbus in the early 1920s and is useful to compare to recent patterns of race and ethnicity (from US Census data) to assess urban social change. Source: Roderick D. McKenzie. The Neighborhood: A Study of Local Life in the City of Columbus, Ohio. Chicago: Chicago University Press, 1923.

  12. Chicago Public Schools - Elementary School Attendance Boundaries SY2425

    • data.cityofchicago.org
    • catalog.data.gov
    Updated Sep 27, 2024
    + more versions
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    Chicago Public Schools (2024). Chicago Public Schools - Elementary School Attendance Boundaries SY2425 [Dataset]. https://data.cityofchicago.org/Education/Chicago-Public-Schools-Elementary-School-Attendanc/5ihw-cbdn
    Explore at:
    application/geo+json, tsv, xml, application/rdfxml, application/rssxml, csv, kml, kmzAvailable download formats
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    Chicago Public School District 299
    Authors
    Chicago Public Schools
    Area covered
    Chicago Public School District 299, Chicago
    Description

    Attendance boundaries for elementary schools in the Chicago Public Schools district for school year 2024-2025. Generally, all students in the applicable elementary school grades who live within one of these boundaries may attend the school.

    ​​​​​This dataset is in a forma​​t for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map.

    To export the data in either tabular or geographic format, please use the Export button on this dataset.

  13. C

    Chicago Park District: Movies in the Parks 2018 - Map

    • data.cityofchicago.org
    application/rdfxml +5
    Updated Feb 11, 2025
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    Chicago Park District (2025). Chicago Park District: Movies in the Parks 2018 - Map [Dataset]. https://data.cityofchicago.org/w/vqcn-q4df/3q3f-6823?cur=uzVfAIxMWuo
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    csv, xml, application/rdfxml, json, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Chicago Park District
    Description

    List of all Movies in the Parks events. This list is a one-time upload and cancellations will not be updated. Please visit the Chicago Park District website or call the Movies in the Parks hotline at 312-742-1134 to check for cancellations due to weather. All movie screenings begin at dusk. Estimate 8:30 from June-July 15, 8:15 from July 15 - August 15 and 8:00 after August 15.

  14. Chicago Public Schools - Middle School Attendance Boundaries SY2021

    • data.cityofchicago.org
    • catalog.data.gov
    Updated Oct 29, 2020
    + more versions
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    Chicago Public Schools (2020). Chicago Public Schools - Middle School Attendance Boundaries SY2021 [Dataset]. https://data.cityofchicago.org/Education/Chicago-Public-Schools-Middle-School-Attendance-Bo/t5zs-fzmq
    Explore at:
    application/rssxml, csv, application/rdfxml, tsv, xml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Oct 29, 2020
    Dataset provided by
    Chicago Public School District 299
    Authors
    Chicago Public Schools
    Area covered
    Chicago Public School District 299, Chicago
    Description

    Attendance boundaries for middle schools in the Chicago Public Schools district for school year 2020-2021. Note: only 24 middle schools have attendance boundaries in school year 2020-2021. Middle school boundaries are often established to relieve overcrowding at nearby elementary schools. Generally, all students in the applicable middle school grades who live within one of these boundaries may attend the school.

    Attendance boundaries for elementary schools in the Chicago Public Schools district for school year 2020-2021. Generally, all students in the applicable elementary school grades who live within one of these boundaries may attend the school.

    ​​​​​This dataset is in a forma​​t for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map.

    To export the data in either tabular or geographic format, please use the Export button on this dataset.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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City of Chicago (2014). Chicago Zip Code and Neighborhood Map [Dataset]. https://data.cityofchicago.org/w/mapn-ahfc/3q3f-6823?cur=sWhn4ORh8HP&from=root

Chicago Zip Code and Neighborhood Map

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xml, application/rdfxml, csv, json, application/rssxml, tsvAvailable download formats
Dataset updated
May 14, 2014
Authors
City of Chicago
Area covered
Chicago
Description

ZIP Code boundaries in Chicago. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ).

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