- API
ACS 5-Year Demographic Characteristics of DC Census Tracts
fusioncenter.nhit.org | Last Updated 2024-05-17T15:48:05.000Z<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Age, 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. </SPAN><SPAN STYLE="font-weight:bold;">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.</SPAN><SPAN> 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.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
- API
ACS 5-Year Demographic Characteristics of DC Census Tracts
fusioncenter.nhit.org | Last Updated 2024-05-17T15:48:05.000Z<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Age, 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. </SPAN><SPAN STYLE="font-weight:bold;">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.</SPAN><SPAN> 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.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
- API
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.
- API
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)
- API
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)
- API
CMS - Medicare Disparities
fusioncenter.nhit.org | Last Updated 2023-07-28T21:45:10.000ZThe MMD Population View provides a user friendly way to explore and better understand disparities in chronic diseases, and allows users to: 1) visualize health outcome measures at a national, state, or county level; 2) explore health outcome measures by age, race and ethnicity, sex; 3) compare differences between two geographic locations (e.g., benchmark against the national average); and 4) compare differences between two racial and ethnic groups within the same geographic area. (Use of the Chrome browser is recommended.)
- API
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
- API
Telemedicine - COVID 19 Impact Survey
fusioncenter.nhit.org | Last Updated 2023-07-28T21:49:19.000ZThe Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates were generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and increased variability from lower sample sizes. Use of the RANDS platform allowed NCHS to produce more timely data than would have been possible using our traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below we provide experimental estimates of telemedicine access and use for two rounds of RANDS during COVID-19. Data collection for the first round occurred between June 9, 2020 and July 6, 2020 and data collection for the second round occurred between August 3, 2020 and August 20, 2020. Information needed to interpret these estimates can be found in the Technical Notes. NCHS included questions about whether providers offered telemedicine (including video and telephone appointments)—both during and before the pandemic—and about the use of telemedicine during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey (NHIS), conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. Currently RANDS is the only NCHS source for statistics related to telemedicine availability and use. The experimental estimates on this page are derived from RANDS and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past two months, who used telemedicine in the past two months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic.
- API
National Healthcare Quality and Disparities 2019
fusioncenter.nhit.org | Last Updated 2021-04-14T15:04:53.000ZIncluded are responses to communication questions by demographic group, overall quality, and race/ethnicity of different types of healthcare providers
- API
Tribal Emergency Declared Areas for COVID19
fusioncenter.nhit.org | Last Updated 2023-07-28T21:47:13.000ZFEMA emergency declared Tribal Areas related to COVID19 emgerency.