6 datasets found
  1. A

    Housing and Community Development Vital Signs 2010

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Jul 30, 2019
    + more versions
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    United States[old] (2019). Housing and Community Development Vital Signs 2010 [Dataset]. https://data.amerigeoss.org/sq/dataset/housing-and-community-development-vital-signs-2010-1cb56
    Explore at:
    xml, json, rdf, csvAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    Description

    BNIA-JFI uses Community Statistical Areas (CSAs) boundaries for tracking Vital Signs data so that progress can be measured over time. CSAs are based on Census tracts which remain consistent from year to year. BNIA-JFI relates CSAs to neighborhoods as defined by the Baltimore City Department of Planning.

  2. A

    Housing and Community Development Vital Signs 2000-2009 - Shape

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +1more
    csv, json, kml, zip
    Updated Jul 29, 2019
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    United States[old] (2019). Housing and Community Development Vital Signs 2000-2009 - Shape [Dataset]. https://data.amerigeoss.org/ca/dataset/d154ca51-189e-47cc-9815-c49fe2f51476
    Explore at:
    zip, json, kml, csvAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States[old]
    Description

    BNIA-JFI uses Community Statistical Areas (CSAs) boundaries for tracking Vital Signs data so that progress can be measured over time. CSAs are based on Census tracts which remain consistent from year to year. BNIA-JFI relates CSAs to neighborhoods as defined by the Baltimore City Department of Planning.

  3. b

    Fast Food Outlet Density per 1,000 Residents - Community Statistical Area

    • data.baltimorecity.gov
    • hub.arcgis.com
    Updated Feb 26, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Fast Food Outlet Density per 1,000 Residents - Community Statistical Area [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::fast-food-outlet-density-per-1000-residents-1?layer=0
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    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The Johns Hopkins Center for a Livable Future (CLF) obtained the food permit list from the Baltimore City Health Department in August 2011, which includes all sites that sell food, such as stores, restaurants and temporary locations such as farmers' market stands and street carts. The restaurants were grouped into three categories, including full service restaurants, fast food chains and carryouts. Carryout and fast food chain restaurants were extracted from the restaurant layer and spatially joined with the 2010 Community Statistical Area (CSA) data layer, provided by BNIA-JFI. The prepared foods density, per 1,000 people, was calculated for each CSA using the CSA's population and the total number of carryout and fast food restaurants, including vendors selling prepared foods in public markets, in each CSA. Source: Johns Hopkins University, Center for a Livable Future Years Available: 2011, 2013, 2019

  4. a

    Fast Food Outlet Density per 1,000 Residents

    • hub.arcgis.com
    • vital-signs-bniajfi.hub.arcgis.com
    Updated Feb 26, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Fast Food Outlet Density per 1,000 Residents [Dataset]. https://hub.arcgis.com/maps/0ccf9a4ad780402da20afd796a59bd44
    Explore at:
    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The Johns Hopkins Center for a Livable Future (CLF) obtained the food permit list from the Baltimore City Health Department in August 2011, which includes all sites that sell food, such as stores, restaurants and temporary locations such as farmers' market stands and street carts. The restaurants were grouped into three categories, including full service restaurants, fast food chains and carryouts. Carryout and fast food chain restaurants were extracted from the restaurant layer and spatially joined with the 2010 Community Statistical Area (CSA) data layer, provided by BNIA-JFI. The prepared foods density, per 1,000 people, was calculated for each CSA using the CSA's population and the total number of carryout and fast food restaurants, including vendors selling prepared foods in public markets, in each CSA. Source: Johns Hopkins University, Center for a Livable FutureYears Available: 2011, 2013, 2018, 2019

  5. a

    Fast Food Outlet Density per 1,000 Residents - City

    • hub.arcgis.com
    Updated Feb 26, 2020
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    Fast Food Outlet Density per 1,000 Residents - City [Dataset]. https://hub.arcgis.com/datasets/0ccf9a4ad780402da20afd796a59bd44
    Explore at:
    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The Johns Hopkins Center for a Livable Future (CLF) obtained the food permit list from the Baltimore City Health Department in August 2011, which includes all sites that sell food, such as stores, restaurants and temporary locations such as farmers' market stands and street carts. The restaurants were grouped into three categories, including full service restaurants, fast food chains and carryouts. Carryout and fast food chain restaurants were extracted from the restaurant layer and spatially joined with the 2010 Community Statistical Area (CSA) data layer, provided by BNIA-JFI. The prepared foods density, per 1,000 people, was calculated for each CSA using the CSA's population and the total number of carryout and fast food restaurants, including vendors selling prepared foods in public markets, in each CSA. Source: Johns Hopkins University, Center for a Livable FutureYears Available: 2011, 2013, 2018, 2019

  6. A

    Children and Family Health & Well-Being - 2010

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Jul 27, 2019
    + more versions
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    United States[old] (2019). Children and Family Health & Well-Being - 2010 [Dataset]. https://data.amerigeoss.org/pt_BR/dataset/children-and-family-health-well-being-2010-6fb2d
    Explore at:
    csv, xml, rdf, jsonAvailable download formats
    Dataset updated
    Jul 27, 2019
    Dataset provided by
    United States[old]
    Description

    Baltimore City continues to make improving the health and lives of its residents a priority. In 2011, the City released the update of Community Health Profilesfor all CSAs as well as Healthy Baltimore 2015 Safe Homes and Families, acomprehensive health policy agenda and measures for tracking progress. In order to describe the health and well being of City residents, BNIA-JFI currently tracks thirteen adult, juvenile, and infant health indicators for Baltimore City and its neighborhoods. The data is provided by the Maryland Department of Health andMental Hygiene, Maryland Department of the Environment, Baltimore Substance Abuse Systems (BSAS), the Baltimore City Health Department, and the United States Bureau of the Census. Where possible, data is presented at the CSA and City level. For several indicators, data is only available at the zip code level.

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United States[old] (2019). Housing and Community Development Vital Signs 2010 [Dataset]. https://data.amerigeoss.org/sq/dataset/housing-and-community-development-vital-signs-2010-1cb56

Housing and Community Development Vital Signs 2010

Explore at:
xml, json, rdf, csvAvailable download formats
Dataset updated
Jul 30, 2019
Dataset provided by
United States[old]
Description

BNIA-JFI uses Community Statistical Areas (CSAs) boundaries for tracking Vital Signs data so that progress can be measured over time. CSAs are based on Census tracts which remain consistent from year to year. BNIA-JFI relates CSAs to neighborhoods as defined by the Baltimore City Department of Planning.

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