Vital Statistics tables that contain aggregate metrics on the mortality (deaths) of Philadelphia residents. Included in these datasets are mortality metrics by planning district or citywide. You can find natality (births) metrics, and social determinants of health metrics at the city and planning district levels of geography as well. Population metrics are provided at the city, planning district, and census tract levels of geography. Please refer to this technical notes document to access detailed technical notes and variable definitions.
Check out the PhilaStats Vital Statistics Dashboard for the City of Philadelphia, for interactive maps and charts of vital statistics and trends in natality (births), mortality (deaths), and population for Philadelphia residents. See also the technical notes for the creation and visualization of Philadelphia's Vital Statistics. View metadata for key information about this dataset.Vital statistics are annually published calculations on birth and death records that facilitate the tracking of important health and population trends in Philadelphia over time. Public officials, researchers, and citizens alike may use vital statistics to plan for population shifts and healthcare needs, to perform research, and to stay informed and up-to-date on the natality and mortality trends in our City. The vital statistics dataset consists of natality and mortality data on Philadelphia City residents for each year of finalized data available, back to 2011 for births and 2012 for deaths. Citywide metrics and metrics by Philadelphia Planning District are provided for both natality and mortality metrics. A population estimates table is also provided, which includes the population counts used to calculate some metrics.The Vital Statistics - Population dataset is also available aggregated by planning district and by census tract.For questions about this dataset, contact epi@phila.gov. For technical assistance, email maps@phila.gov.
Check out the PhilaStats Vital Statistics Dashboard for the City of Philadelphia, for interactive maps and charts of vital statistics and trends in natality (births), mortality (deaths), and population for Philadelphia residents. See also the technical notes for the creation and visualization of Philadelphia's Vital Statistics. View metadata for key information about this dataset.Vital statistics are annually published calculations on birth and death records that facilitate the tracking of important health and population trends in Philadelphia over time. Public officials, researchers, and citizens alike may use vital statistics to plan for population shifts and healthcare needs, to perform research, and to stay informed and up-to-date on the natality and mortality trends in our City. The vital statistics dataset consists of natality and mortality data on Philadelphia City residents for each year of finalized data available, back to 2011 for births and 2012 for deaths. Citywide metrics and metrics by Philadelphia Planning District are provided for both natality and mortality metrics. A population estimates table is also provided, which includes the population counts used to calculate some metrics.The Vital Statistics - Population dataset is also available aggregated by census tract and in this citywide table.For questions about this dataset, contact epi@phila.gov. For technical assistance, email maps@phila.gov.
Social determinants of health metrics at the city and planning district levels of geography. Please refer to the metadata links below for variable definitions and this technical notes document to access detailed technical notes and variable definitions. You can find related vital statistics tables that contain aggregate metrics on vital events, including natality (births) metrics and mortality (deaths) by planning district or citywide. Population metrics are provided at the city, planning district, and census tract levels of geography.
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.
https://catalog.dvrpc.org/dvrpc_data_license.htmlhttps://catalog.dvrpc.org/dvrpc_data_license.html
This dataset contains data from the P.L. 94-171 2020 Census Redistricting Program. The 2020 Census Redistricting Data Program provides states the opportunity to delineate voting districts and to suggest census block boundaries for use in the 2020 Census redistricting data tabulations (Public Law 94-171 Redistricting Data File). In addition, the Redistricting Data Program will periodically collect state legislative and congressional district boundaries if they are changed by the states. The program is also responsible for the effective delivery of the 2020 Census P.L. 94-171 Redistricting Data statutorily required by one year from Census Day. The program ensures continued dialogue with the states in regard to 2020 Census planning, thereby allowing states ample time for their planning, response, and participation. The U.S. Census Bureau will deliver the Public Law 94-171 redistricting data to all states by Sept. 30, 2021. COVID-19-related delays and prioritizing the delivery of the apportionment results delayed the Census Bureau’s original plan to deliver the redistricting data to the states by April 1, 2021.
Data in this dataset contains information on population, diversity, race, ethnicity, housing, household, vacancy rate for 2020 for various geographies (county, MCD, Philadelphia Planning Districts (referred to as county planning areas [CPAs] internally, Census designated places, tracts, block groups, and blocks)
For more information on the 2020 Census, visit https://www.census.gov/programs-surveys/decennial-census/about/rdo/summary-files.html
PLEASE NOTE: 2020 Decennial Census data has had noise injected into it because of the Census's new Disclosure Avoidance System (DAS). This can mean that population counts and characteristics, especially when they are particularly small, may not exactly correspond to the data as collected. As such, caution should be exercised when examining areas with small counts. Ron Jarmin, acting director of the Census Bureau posted a discussion of the redistricting data, which outlines what to expect with the new DAS. For more details on accuracy you can read it here: https://www.census.gov/newsroom/blogs/director/2021/07/redistricting-data.html
The data set is a crosswalk file for working with 2020 Census block group boundaries and Philadelphia Police Department district and police service areas (PSAs). Census blockgroup population centroids were situated in police geographies using SAS Proc GINSIDE. The data facilitate demographic approximations of the residential population within Philadelphia police districts and police service areas (PSAs).
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Vital Statistics tables that contain aggregate metrics on the mortality (deaths) of Philadelphia residents. Included in these datasets are mortality metrics by planning district or citywide. You can find natality (births) metrics, and social determinants of health metrics at the city and planning district levels of geography as well. Population metrics are provided at the city, planning district, and census tract levels of geography. Please refer to this technical notes document to access detailed technical notes and variable definitions.