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ACS 5-Year Demographic Characteristics of DC Census Tracts
fusioncenter.nhit.org | Last Updated 2024-06-18T02:04:20.000ZAge, 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.
- API
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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CDC - Provisional COVID 19 Death Counts in the United States by County
fusioncenter.nhit.org | Last Updated 2024-06-28T06:02:38.000ZProvisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county; geocoding information is currently only available on the state-level.
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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.)
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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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ACS - Age, Sex, and Race/Ethnicity (1-Year Estimates)
fusioncenter.nhit.org | Last Updated 2021-04-05T19:30:59.000Z1-year estimates from the American Community Survey
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ACS - Age, Sex, and Race/Ethnicity (5-Year Estimate)
fusioncenter.nhit.org | Last Updated 2021-04-05T19:32:50.000Z5-year estimates from the American Community Survey
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ACS - Occupation and Language Spoken at Home (1-Year Estimates)
fusioncenter.nhit.org | Last Updated 2020-11-02T19:16:29.000Z1-year estimates from the American Community Survey