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Hospitals
fusioncenter.nhit.org | Last Updated 2023-07-28T21:44:56.000ZPoint locations and limited attributes for hospitals of all types (acute care, rehabilitation, psychiatric, specialty), federally-qualified health centers, and satellite emergency departments, in New Jersey. Nursing homes and most standalone urgent care centers are not included. The point locations and most of the attributes are derived as periodic output from the NJ Department of Health (NJ DOH) Health Emergency Preparedness and Response (Hippocrates) system. Known as: Hospital point locations in New Jersey as of 2018-09 (Strc_emgy_hospital_3424)
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Hospitals
fusioncenter.nhit.org | Last Updated 2024-05-20T10:51:32.000ZPoint locations and limited attributes for hospitals of all types (acute care, rehabilitation, psychiatric, specialty), federally-qualified health centers, and satellite emergency departments, in New Jersey. Nursing homes and most standalone urgent care centers are not included. The point locations and most of the attributes are derived as periodic output from the NJ Department of Health (NJ DOH) Health Emergency Preparedness and Response (Hippocrates) system. Known as: Hospital point locations in New Jersey as of 2018-09 (Strc_emgy_hospital_3424)
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ACS 5-Year Demographic Characteristics of DC Census Tracts
fusioncenter.nhit.org | Last Updated 2024-06-18T02:04:19.000ZAge, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: Census Tracts. Current Vintage: 2018-2022. ACS Table(s): DP05. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2024. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.
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ACS 5-Year Demographic Characteristics of DC Census Tracts
fusioncenter.nhit.org | Last Updated 2024-09-16T03:03:04.000ZAge, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: Census Tracts. Current Vintage: 2018-2022. ACS Table(s): DP05. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2024. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.
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ACS - Telehealth Variables Example
fusioncenter.nhit.org | Last Updated 2023-07-28T21:57:53.000ZIncludes data for ACS variables B28002_013E (households with no internet access), S0101_C01_028E (population over 60 years old), and S1701_C02_001E (population below poverty level). This dataset is intended as an example.
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Transit Village Centers
fusioncenter.nhit.org | Last Updated 2024-05-17T13:30:19.000ZA designated Transit Village is the area around a transit facility that the municipality has demonstrated a commitment to revitalizing and redeveloping into a compact, mixed-use neighborhood with a strong residential component. The municipality must apply for designation and must meet the Transit Village Criteria. The program is administered by the NJ Department of Transportation (NJDOT), which provides information on the program Web site http://www.state.nj.us/transportation/community/village/index.shtml. This feature class replaces the previous edition of the Transit Village points. This edition uses the same methodology for all the rail station and bus terminal center points. The points are located by using the outside corners of the platform or platforms to create a rectangle, and then extracting the centroid of the rectangle for each station or terminal. Center points for indoor or underground platforms were estimated from entrances (see source record for details.) Known as Transit Village Centers Tran_tvi_ctr
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Transit Village Centers
fusioncenter.nhit.org | Last Updated 2021-08-09T21:20:47.000ZA designated Transit Village is the area around a transit facility that the municipality has demonstrated a commitment to revitalizing and redeveloping into a compact, mixed-use neighborhood with a strong residential component. The municipality must apply for designation and must meet the Transit Village Criteria. The program is administered by the NJ Department of Transportation (NJDOT), which provides information on the program Web site http://www.state.nj.us/transportation/community/village/index.shtml. This feature class replaces the previous edition of the Transit Village points. This edition uses the same methodology for all the rail station and bus terminal center points. The points are located by using the outside corners of the platform or platforms to create a rectangle, and then extracting the centroid of the rectangle for each station or terminal. Center points for indoor or underground platforms were estimated from entrances (see source record for details.) Known as Transit Village Centers Tran_tvi_ctr
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Congressional Districts - DEPRECATED
fusioncenter.nhit.org | Last Updated 2023-07-28T21:44:14.000ZTHIS LAYER HAS BEEN DEPRECATED AND WILL BE RETIRED 6-30-2022. This polygon layer delineates the US Congressional District boundaries in New Jersey, 2012 - 2022. This version of the layer uses high-quality base map spatial data published by the State of New Jersey, instead of Census Bureau geographic data (TIGER.) Where no higher-quality data were available, the TIGER lines were used.This layer, which overlays correctly the highest quality municipal boundary data for New Jersey is an UNofficial version; by law, the official version is based on US Census data (geographic and demographic.) Congressional Districts are areas bounded on all sides by visible features such as streets, roads, streams, railroad tracks, and/or by nonvisible boundaries such as census block, city, town, township, county limits, and short line-of-sight extensions of roads or other linear features. Municipalities split between congressional districts were split by snapping to these lines. Known as: Congressional District Boundaries for the State of New Jersey, 2012 - 2022; unofficial, nj_munis - based (Govt_admin_condis)
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Congressional Districts - DEPRECATED
fusioncenter.nhit.org | Last Updated 2022-08-18T16:50:18.000ZTHIS LAYER HAS BEEN DEPRECATED AND WILL BE RETIRED 6-30-2022. This polygon layer delineates the US Congressional District boundaries in New Jersey, 2012 - 2022. This version of the layer uses high-quality base map spatial data published by the State of New Jersey, instead of Census Bureau geographic data (TIGER.) Where no higher-quality data were available, the TIGER lines were used.This layer, which overlays correctly the highest quality municipal boundary data for New Jersey is an UNofficial version; by law, the official version is based on US Census data (geographic and demographic.) Congressional Districts are areas bounded on all sides by visible features such as streets, roads, streams, railroad tracks, and/or by nonvisible boundaries such as census block, city, town, township, county limits, and short line-of-sight extensions of roads or other linear features. Municipalities split between congressional districts were split by snapping to these lines. Known as: Congressional District Boundaries for the State of New Jersey, 2012 - 2022; unofficial, nj_munis - based (Govt_admin_condis)
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CDC - Social Vulnerability Index (2018)
fusioncenter.nhit.org | Last Updated 2023-07-28T21:42:29.000ZATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking. In addition to tract-level rankings, SVI 2018 also has corresponding rankings at the county level. Notes below that describe “tract” methods also refer to county methods. Additional historical data can be found here: https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html