61 datasets found
  1. d

    Skillman Good Neighborhoods, 2014

    • catalog.data.gov
    • detroitdata.org
    • +5more
    Updated Feb 21, 2025
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    Data Driven Detroit (2025). Skillman Good Neighborhoods, 2014 [Dataset]. https://catalog.data.gov/dataset/skillman-good-neighborhoods-2014-e14d3
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Description

    These polygons are the boundaries of the Skillman Good Neighborhoods, as of March 2014

  2. Seattle Neighborhoods - Top 50 American Community Survey Data

    • catalog.data.gov
    Updated Feb 28, 2025
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (2025). Seattle Neighborhoods - Top 50 American Community Survey Data [Dataset]. https://catalog.data.gov/dataset/seattle-neighborhoods-top-50-american-community-survey-data
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Seattle
    Description

    City of Seattle neighborhood boundaries with American Community Survey (ACS) 5-year series data of frequently requested topics. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment. Seattle neighborhood geography of Council Districts, Comprehensive Plan Growth Areas are included.The census block groups have been assigned to a neighborhood based on the distribution of the total population from the 2020 decennial census for the component census blocks. If the majority of the population in the block group were inside the boundaries of the neighborhood, the block group was assigned wholly to that neighborhood.Feature layer created for and used in the Neighborhood Profiles application.The attribute data associated with this map is updated annually to contain the most currently released American Community Survey (ACS) 5-year data and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. <div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next&qu

  3. 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:

  4. a

    Data from: District Councils

    • hub.arcgis.com
    • information.stpaul.gov
    Updated Apr 5, 2022
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    Saint Paul GIS (2022). District Councils [Dataset]. https://hub.arcgis.com/maps/stpaul::district-councils
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    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Saint Paul GIS
    Area covered
    Description

    Saint Paul has had a formal structure of neighborhood organizations to engage residents and collaborate with city government since 1975--one of the first in the nation. These organizations are known as district councils because they are resident groups that engage and represent the people living in one of the city's 17 planning districts. Each district council is a 501(c)(3) non-profit with a voluntary board of directors composed of members elected by their neighbors. The district council structure was formed as part of the development of the city's Citizen Participation Program, now known as the Community Engagement Program. The purpose of this program is to create opportunities for residents to learn about what is happening in their neighborhoods and collaborate with one another and city government to maintain and improve the quality of life in neighborhoods. The program includes funding allocated to each district council on a formula basis, technical assistance from city planners and other city staff regarding issues that are important to the neighborhood and non-profit management assistance from the city's Community Engagement Coordinator.District councils each are involved in work to improve the physical, social and economic structures in their neighborhood. The activity common to all district councils is the development of a district plan (sometimes referred to as a neighborhood plan) that is reviewed by the Planning Commission, City Council and the Metropolitan Council--the region's metropolitan planning organization--before being adopted as part of the city's Comprehensive Plan. The Comprehensive Plan is a key tool used by the city to guide law-making and budgeting. District plans are an opportunity for residents to influence how those laws and budgets impact their neighborhoods. Along with this critical planning work, district councils may also be involved in:Reviewing community development proposalsAdvocating for park and recreation center improvementsCoordinating community gardens and neighborhood beautification projectsPromoting environmental action through volunteering and advocacyOrganizing block clubs and working with the police department and other city agencies to improve public safetyDistrict councils rely on community-building activities and events as the basis for convening residents to become involved in their neighborhood. These include neighborhood forums, festivals, parades and block parties.A commitment to equity is foundational to successful community engagement. In 2017, the district councils proposed a change to the Community Engagement Program's Innovation Fund that was adopted in 2018. The fund is now divided equally among the 17 district councils to promote equitable practices and neighborhood outcomes. The goals of this program are:District council staff and volunteers more accurately reflect the communities they serve.District councils review and adopt policies and practices that intentionally create space for residents who are currently under-represented.District councils pursue systemic work that reflects the needs and priorities of residents who have been historically under-represented.Additionally, district council staff are required to participate in a peer support/best practices network composed of district councils or similar grassroots, place-based organizations in the region.

  5. Median sales price of homes NYC 2024, by neighborhood

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Median sales price of homes NYC 2024, by neighborhood [Dataset]. https://www.statista.com/statistics/892117/most-expensive-nyc-neighborhoods-home-prices/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    SoHo was the most expensive neighborhood in New York City, United States in the third quarter of 2024, with the median sales price of homes at 4.25 million U.S. dollars. Out of the top ten most expensive neighborhoods to buy a home, seven were in Manhattan. Cobble Hill, DUMBO, and Carroll Gardens were the only Brooklyn neighborhoods in the top ten ranking and had a median home sales price ranging between 1.6 million U.S. dollars and 1.8 million U.S. dollars.

  6. c

    City Quadrants Boundaries- Neighborhood Service Center Service Areas

    • data.cityofrochester.gov
    • hub.arcgis.com
    Updated Jan 27, 2020
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    City of Rochester, NY (2020). City Quadrants Boundaries- Neighborhood Service Center Service Areas [Dataset]. https://data.cityofrochester.gov/maps/0deb4e59d08b43e9a4c653a612083a3a
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    Dataset updated
    Jan 27, 2020
    Dataset authored and provided by
    City of Rochester, NY
    Area covered
    Description

    Overview of the DataThis is a polygon feature layer with the boundaries of the four quadrants of the city of Rochester. This geographic division is used for the service areas for the Neighborhood Service Centers (NSC's) as well as administration of other city programming and services.About the Neighborhood Service CentersThe Neighborhood Service Centers (NSCs) are based on the notion that the best way of responding to neighborhood issues is by teaming residents with City staff to devise and achieve effective solutions.This approach brings City government closer to its citizens and their neighborhoods so that quality of life issues can be addressed quickly and effectively.The City of Rochester has been divided into the four (4) geographic quadrants, each with its own Neighborhood Service Center. Each quadrant in the city also has its own Quadrant Team, an interdepartmental team of professionals dedicated to improving the quality of life in their assigned area. These cross-functional teams are intended to directly solve problems, establish community partnerships, and promote strength and growth in city neighborhoods. Teams meet regularly with community representatives to identify and prioritize issues.For more information please visit the City of Rochester's Neighborhood Service Centers (NSCs) website or the individual quadrant websites listed below:Northwest Quadrant Neighborhood Service Center (585)428-762071 Parkway - First FloorRochester, NY 14608Tammi.Herron, AdministratorNortheast Quadrant Neighborhood Service Center (585)428-7660500 Norton StRochester, NY 14621Carlos.Torres, AdministratorSouthwest Quadrant Neighborhood Service Center(585) 428-7630923 Genesee StRochester, NY 14611James H. Demps III, AdministratorSoutheast Quadrant Neighborhood Service Center (585) 428-7640320 N Goodman Street - Suite 209Rochester, NY 14607Nancy Johns-Price, Administrator

  7. a

    2011 Housing Market Typology

    • hub.arcgis.com
    • data.baltimorecity.gov
    Updated May 23, 2023
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    Baltimore City (2023). 2011 Housing Market Typology [Dataset]. https://hub.arcgis.com/maps/baltimore::2011-housing-market-typology
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    Dataset updated
    May 23, 2023
    Dataset authored and provided by
    Baltimore City
    Area covered
    Description

    This dataset represents indicators of local housing market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. To leave feedback or ask a question about this dataset, please fill out the following form: 2011 Housing Market Typology feedback form.

  8. Top 10 U.S. metropolitan areas with the largest lower-income population 2014...

    • statista.com
    Updated May 11, 2016
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    Statista (2016). Top 10 U.S. metropolitan areas with the largest lower-income population 2014 [Dataset]. https://www.statista.com/statistics/547408/us-metropolitan-areas-with-the-largest-lower-income-population/
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    Dataset updated
    May 11, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    United States
    Description

    This statistic shows a ranking of metropolitan areas with the highest shares of lower-income adults in the United States in 2014. In 2014, the Laredo metropolitan area in Texas was ranked first with 47 percent of adult population living in the lower-income tier.

  9. U.S. metropolitan areas with the greatest loss in median income 1999-2014

    • statista.com
    Updated May 11, 2016
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    U.S. metropolitan areas with the greatest loss in median income 1999-2014 [Dataset]. https://www.statista.com/statistics/547660/bottom-us-metropolitan-areas-by-change-in-median-household-income/
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    Dataset updated
    May 11, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2014
    Area covered
    United States
    Description

    This statistic shows a ranking of metropolitan areas with the highest negative percentage change in median household income from 1999 to 2014 in the United States. Between 1999 and 2014, the median household income in Springfield (Ohio) amounted to 53,957 U.S. dollars, a decrease by 27 percent since 1999.

  10. V

    Arlington Neighborhoods Program Areas

    • data.virginia.gov
    • hub.arcgis.com
    Updated Apr 1, 2024
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    Arlington GIS Portal (2024). Arlington Neighborhoods Program Areas [Dataset]. https://data.virginia.gov/dataset/arlington-neighborhoods-program-areas
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    html, kml, arcgis geoservices rest api, zip, geojson, csvAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset provided by
    Arlington County, VA - GIS Mapping Center
    Authors
    Arlington GIS Portal
    Area covered
    Arlington
    Description

    Polygon boundaries of the neighborhoods that can participate in the Arlington Neighborhoods Program. This program helps improve and enhance the Arlington neighborhoods. Attributes of the layer include the neighborhood name, the approval date, when a plan was updated, and if a plan has been adopted. This web page has additional information regarding the Arlington Neighborhoods Program (https://www.arlingtonva.us/Government/Projects/Arlington-Neighborhoods-Program).

    Contact: Department of Environmental Services

    Data Accessibility: Publicly Available

    Update Frequency: As Needed

    Last Revision Date: 1/23/2024

    Creation Date: 1/23/2024

    Feature Dataset Name: ANP

    Layer Name: ANP_poly

  11. Census Tract Top 50 American Community Survey Data

    • s.cnmilf.com
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Census Tract Top 50 American Community Survey Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/census-tract-top-50-american-community-survey-data
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    https://arcgis.com/
    Description

    Data from: American Community Survey, 5-year SeriesKing County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 of over 50 attributes of the most requested data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.Vintages: 2010, 2015, 2020, 2021, 2022, <a href='https://www.census.gov/programs-surveys/acs/news/data-releases/2023/release.html#5yr' style='font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferr

  12. c

    Neighborhood Watch Groups Public

    • opendata.cityofboise.org
    • city-of-boise.opendata.arcgis.com
    Updated May 10, 2024
    + more versions
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    City of Boise, Idaho (2024). Neighborhood Watch Groups Public [Dataset]. https://opendata.cityofboise.org/items/8b40e4455e614b7d87e4bced9ca695b0
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    Dataset updated
    May 10, 2024
    Dataset authored and provided by
    City of Boise, Idaho
    Area covered
    Description

    This is a polygon data set of the Neighborhood Watch Group boundaries within City of Boise limits. A Neighborhood Watch Group is defined as a neighborhood surveillance program or group in which residents keep watch over one another's houses, patrol the streets, etc., in an attempt to prevent crime. When available Neighborhood Watch Group boundaries are derived from information provided from the Neighborhood Watch Group chairpersons. Where data was not provided, boundaries are estimated using best judgment from the Boise Police Department Neighborhood Watch Group Coordinator. The geographic data was developed in 2013 and is maintained by the Boise IT GIS. The data set is current to the date it was published.For more information about, please visit City of Boise Police Department or Energize Our Neighborhoods.

  13. Top 10 U.S. metropolitan areas with the highest change in median income...

    • statista.com
    Updated May 11, 2016
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    Statista (2016). Top 10 U.S. metropolitan areas with the highest change in median income 1999-2014 [Dataset]. https://www.statista.com/statistics/547651/us-metropolitan-areas-with-the-highest-change-in-median-household-income/
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    Dataset updated
    May 11, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2014
    Area covered
    United States
    Description

    This statistic shows the ranking of metropolitan areas with the highest percentage of change in median household income between 1999 and 2014 in the United States. Between 1999 and 2014, the median household income in Midland (Texas) amounted to 90,743 U.S. dollars, an increase of 37 percent since 1999.

  14. Toronto Neighborhood Data

    • kaggle.com
    Updated Jul 5, 2021
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    Sidharth Kumar Mohanty (2021). Toronto Neighborhood Data [Dataset]. https://www.kaggle.com/sidharth178/toronto-neighborhood-data/tasks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 5, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sidharth Kumar Mohanty
    Area covered
    Toronto
    Description

    Context

    With a population just short of 3 million people, the city of Toronto is the largest in Canada, and one of the largest in North America (behind only Mexico City, New York and Los Angeles). Toronto is also one of the most multicultural cities in the world, making life in Toronto a wonderful multicultural experience for all. More than 140 languages and dialects are spoken in the city, and almost half the population Toronto were born outside Canada.It is a place where people can try the best of each culture, either while they work or just passing through. Toronto is well known for its great food.

    Content

    This dataset was created by doing webscraping of Toronto wikipedia page . The dataset contains the latitude and longitude of all the neighborhoods and boroughs with postal code of Toronto City,Canada.

  15. Best 311-based model performance for modeling socio-economic features in...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Lingjing Wang; Cheng Qian; Philipp Kats; Constantine Kontokosta; Stanislav Sobolevsky (2023). Best 311-based model performance for modeling socio-economic features in different cities. [Dataset]. http://doi.org/10.1371/journal.pone.0186314.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lingjing Wang; Cheng Qian; Philipp Kats; Constantine Kontokosta; Stanislav Sobolevsky
    License

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

    Description

    Best 311-based model performance for modeling socio-economic features in different cities.

  16. e

    Major Towns and Cities and Built-up Areas Swipe Map

    • data.europa.eu
    html, unknown
    + more versions
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    Office for National Statistics, Major Towns and Cities and Built-up Areas Swipe Map [Dataset]. https://data.europa.eu/data/datasets/major-towns-and-cities-and-built-up-areas-swipe-map1?locale=en
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    unknown, htmlAvailable download formats
    Dataset authored and provided by
    Office for National Statistics
    Description

    How would you define the boundaries of a town or city in England and Wales in 2016?

    Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities.

    In reality, the ability to delimit the boundaries of a city or town is difficult!


    Major Towns and Cities

    The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011.

    This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right.

    The blue polygons are the towns and cities and the purple polygons are the built-up areas.

  17. w

    Crime & Safety (2010-2014) - Shape

    • data.wu.ac.at
    csv, json, kml, kmz +1
    Updated Feb 7, 2017
    + more versions
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    City of Baltimore (2017). Crime & Safety (2010-2014) - Shape [Dataset]. https://data.wu.ac.at/schema/data_gov/NzBmMWRkMDMtN2Q1Yy00ZGYxLWFkNTMtODhkMTYxNTJkMTQy
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    json, kmz, zip, kml, csvAvailable download formats
    Dataset updated
    Feb 7, 2017
    Dataset provided by
    City of Baltimore
    Description

    Most indicators throughout Vital Signs are created by acquiring and analyzing data collected from governmental agencies for some public administration purpose, such as 311 calls or housing inspections. However, data from the United States Bureau of the Census remains the best source for demographic and socioeconomic indicators for neighborhoods. The Census Bureau collects a wide variety of information through administration of both the decennial Census and the annual American Community Survey (ACS).

  18. m

    Neighborhood Watch Groups

    • gis.data.mass.gov
    • opendata.worcesterma.gov
    • +1more
    Updated Jan 23, 2025
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    City of Worcester, MA (2025). Neighborhood Watch Groups [Dataset]. https://gis.data.mass.gov/datasets/worcesterma::neighborhood-watch-groups
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    City of Worcester, MA
    Area covered
    Description

    One of the best places for residents to make their quality of life concerns known is at a local Neighborhood Meeting. Neighborhood Meetings are held in public locations throughout the City and may be attended by any member of the public.More Information:Visit the Neighborhood Response Team webpage to learn more about their efforts and upcoming meetings.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

  19. Great Smoky Mountains National Park Parking Areas

    • catalog.data.gov
    • gimi9.com
    Updated Jun 5, 2024
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    National Park Service (2024). Great Smoky Mountains National Park Parking Areas [Dataset]. https://catalog.data.gov/dataset/great-smoky-mountains-national-park-parking-areas
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Great Smoky Mountains
    Description

    This is a vector point file showing Parking Areas at Great Smoky Mountains National Park (GRSM). Data were collected with GPS and/or aerial photography. The intended use of all data in the park's GIS library is to support diverse park activities including planning, management, maintenance, research, and interpretation.

  20. U

    1:1,000,000-scale Hydrographic Areas of the Great Basin

    • data.usgs.gov
    • search.dataone.org
    • +1more
    Updated Aug 24, 2024
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    United States Geological Survey (2024). 1:1,000,000-scale Hydrographic Areas of the Great Basin [Dataset]. http://doi.org/10.5066/P9VCBUAU
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    Dataset updated
    Aug 24, 2024
    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

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

    Time period covered
    1988
    Area covered
    Great Basin
    Description

    This data set consists of hydrographic area and major flow system boundaries and polygons delineated at 1:1,000,000-scale for the Great Basin.

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Data Driven Detroit (2025). Skillman Good Neighborhoods, 2014 [Dataset]. https://catalog.data.gov/dataset/skillman-good-neighborhoods-2014-e14d3

Skillman Good Neighborhoods, 2014

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Dataset updated
Feb 21, 2025
Dataset provided by
Data Driven Detroit
Description

These polygons are the boundaries of the Skillman Good Neighborhoods, as of March 2014

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