7 datasets found
  1. c

    Council Districts

    • data.cityofsacramento.org
    • data.sacog.org
    • +2more
    Updated Apr 27, 2017
    + more versions
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    City of Sacramento (2017). Council Districts [Dataset]. https://data.cityofsacramento.org/datasets/SacCity::council-districts/explore
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    Dataset updated
    Apr 27, 2017
    Dataset authored and provided by
    City of Sacramento
    Area covered
    Description

    Sacramento city council district boundaries adopted on December 16, 2021.

  2. s

    Neighborhoods

    • data.sacog.org
    • hub.arcgis.com
    • +1more
    Updated Mar 3, 2016
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    City of Sacramento (2016). Neighborhoods [Dataset]. https://data.sacog.org/datasets/SacCity::neighborhoods/about
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    Dataset updated
    Mar 3, 2016
    Dataset authored and provided by
    City of Sacramento
    Area covered
    Description

    City of Sacramento Neighborhoods. Contact: SacGIS@cityofsacramento.org Updated July 19th, 2017

  3. s

    West Sacramento Neighborhoods

    • data.sacog.org
    • datahub.cityofwestsacramento.org
    Updated May 30, 2025
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    West Sacramento (2025). West Sacramento Neighborhoods [Dataset]. https://data.sacog.org/documents/39cc74074b2445ca811588a38844ff55
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    West Sacramento
    Area covered
    West Sacramento
    Description

    .PDF map of all City of West Sacramento Neighborhoods.

  4. s

    Community Plan Areas

    • data.sacog.org
    • data.cityofsacramento.org
    • +1more
    Updated Jun 5, 2017
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    City of Sacramento (2017). Community Plan Areas [Dataset]. https://data.sacog.org/datasets/aba7ef895e7b45c28812d25753da7ebe
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    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    City of Sacramento
    Area covered
    Description

    The purpose of this data set is to cartographically display the boundaries of the City of Sacramento's Community Plan Areas as established by the 2030 General Plan and Amended by City Council Resolution. Where before the community plans were stand-alone documents that read essentially as self-contained policy plans, almost like general plans for each community plan area, the community plans are now incorporated in the 2030 General Plan to supplement citywide policy based on conditions or issues unique to each community plan area. This layer may also be used for QUIMBY funds. Contact GIS at: sacgis@cityofsacramento.org

  5. a

    Public Works Projects in Your Community

    • data-ranchocordova.opendata.arcgis.com
    Updated Nov 7, 2016
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    City of Rancho Cordova (2016). Public Works Projects in Your Community [Dataset]. https://data-ranchocordova.opendata.arcgis.com/datasets/public-works-projects-in-your-community
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    Dataset updated
    Nov 7, 2016
    Dataset authored and provided by
    City of Rancho Cordova
    Area covered
    Description

    This story map highlights selected infrastructure projects managed by the Public Works Department at the City of Rancho Cordova, located in Sacramento County, California. The primary goal is to identify some of the many projects managed through the City's Capital Improvement Plan and Community Enhancement Investment Fund (CEIF). The application includes projects at various stages of progress from planning through construction and completion as well as ongoing projects, and for each it provides the project name, a brief description, a representative photo, as well as the funding sources, and contact information where you can learn more. Updates to this application are planned quarterly as time permits (January, April, July, and October).For general questions regarding the projects in this story map please contact Rancho Cordova Public Works at (916) 851-8710.For help, more information, or to report problems with this application please contact Jared Schuckert, GIS Analyst at jschuckert@cityofranchocordova.orgThe web URL for the application is https://ranchocordova.maps.arcgis.com/apps/MapTour/index.html?appid=29a742530c12488ab1fd3e60e56627f9

  6. 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:

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

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    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]. https://www.icpsr.umich.edu/web/ICPSR/studies/2913
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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
    Sacramento, California, Wisconsin, South Carolina, United States, South Carolina
    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

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City of Sacramento (2017). Council Districts [Dataset]. https://data.cityofsacramento.org/datasets/SacCity::council-districts/explore

Council Districts

Explore at:
Dataset updated
Apr 27, 2017
Dataset authored and provided by
City of Sacramento
Area covered
Description

Sacramento city council district boundaries adopted on December 16, 2021.

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