12 datasets found
  1. a

    Texas Life Expectancy by Census Tract

    • egisdata-dallasgis.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 11, 2022
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    City of Dallas GIS Services (2022). Texas Life Expectancy by Census Tract [Dataset]. https://egisdata-dallasgis.hub.arcgis.com/datasets/texas-life-expectancy-by-census-tract/explore
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    Dataset updated
    Mar 11, 2022
    Dataset authored and provided by
    City of Dallas GIS Services
    Area covered
    Description

    This service contains data on the life expectancy for the census tracts within Texas. The longevity data for this service was created by the Center for Disease Control U.S. Small-area Life Expectancy Estimates Project (USALEEP). This data was last updated on March 2022. This data was created by the CDC using data from 2018. More information on the US Small Area Life Expectancy Estimate Project program can be found at NVSS - United States Small-Area Life Expectancy Estimates Project.

  2. Annual life expectancy in the United States 1850-2100

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Annual life expectancy in the United States 1850-2100 [Dataset]. https://www.statista.com/statistics/1040079/life-expectancy-united-states-all-time/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    From the mid-19th century until today, life expectancy at birth in the United States has roughly doubled, from 39.4 years in 1850 to 79.6 years in 2025. It is estimated that life expectancy in the U.S. began its upward trajectory in the 1880s, largely driven by the decline in infant and child mortality through factors such as vaccination programs, antibiotics, and other healthcare advancements. Improved food security and access to clean water, as well as general increases in living standards (such as better housing, education, and increased safety) also contributed to a rise in life expectancy across all age brackets. There were notable dips in life expectancy; with an eight year drop during the American Civil War in the 1860s, a seven year drop during the Spanish Flu empidemic in 1918, and a 2.5 year drop during the Covid-19 pandemic. There were also notable plateaus (and minor decreases) not due to major historical events, such as that of the 2010s, which has been attributed to a combination of factors such as unhealthy lifestyles, poor access to healthcare, poverty, and increased suicide rates, among others. However, despite the rate of progress slowing since the 1950s, most decades do see a general increase in the long term, and current UN projections predict that life expectancy at birth in the U.S. will increase by another nine years before the end of the century.

  3. a

    Senior Demographics Project - Life Expectancy

    • egisdata-dallasgis.hub.arcgis.com
    Updated Mar 11, 2022
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    City of Dallas GIS Services (2022). Senior Demographics Project - Life Expectancy [Dataset]. https://egisdata-dallasgis.hub.arcgis.com/datasets/senior-demographics-project-life-expectancy
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    Dataset updated
    Mar 11, 2022
    Dataset authored and provided by
    City of Dallas GIS Services
    Area covered
    Description

    The map contains data on the life expectancy for the census tracts within Texas. The longevity data for this service was created by the Center for Disease Control U.S. Small-area Life Expectancy Estimates Project ( USALEEP).The map is an ongoing collaboration with EGIS and the City of Dallas Senior Affairs Commission. EGIS has aggregated the life expectancy estimates to the Dallas proper geographical boundaries by using the center points of tracts. These are estimations and can be over- or under- estimated due to these approximations.

  4. O

    Average age at death in Travis County by ZIP Code, 2011-2015

    • data.austintexas.gov
    • datahub.austintexas.gov
    • +2more
    csv, xlsx, xml
    Updated Nov 30, 2018
    + more versions
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    City of Austin, Texas - data.austintexas.gov (2018). Average age at death in Travis County by ZIP Code, 2011-2015 [Dataset]. https://data.austintexas.gov/Health-and-Community-Services/Average-age-at-death-in-Travis-County-by-ZIP-Code-/ci7a-cwah
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Nov 30, 2018
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Travis County
    Description

    This dataset contains the number of deaths and the average age at death for all deaths in a ZIP Code between 2011 and 2015. The data were obtained by special request from Texas Department of State Health Services Vital Statistics.

  5. a

    Expectation of Life by Tract

    • egisdata-dallasgis.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 10, 2022
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    City of Dallas GIS Services (2022). Expectation of Life by Tract [Dataset]. https://egisdata-dallasgis.hub.arcgis.com/datasets/expectation-of-life-by-tract
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    Dataset updated
    Mar 10, 2022
    Dataset authored and provided by
    City of Dallas GIS Services
    Area covered
    Description

    This service contains data on the expectation of life for a series of age groups for the census tracts within Texas. The longevity data for this service was created by the Center for Disease Control U.S. Small-area Life Expectancy Estimates Project ( USALEEP). Information on the USALEEP study can be found at https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html.

  6. Data from: Hispanic Established Populations for the Epidemiologic Study of...

    • search.datacite.org
    • icpsr.umich.edu
    Updated 2016
    + more versions
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    Kyriakos S. Markides; Nai-Wei Chen; Ronald Angel; Raymond Palmer (2016). Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 8, 2012-2013 [Arizona, California, Colorado, New Mexico, and Texas] [Dataset]. http://doi.org/10.3886/icpsr36578
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    Dataset updated
    2016
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Kyriakos S. Markides; Nai-Wei Chen; Ronald Angel; Raymond Palmer
    Dataset funded by
    United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
    Description

    The Hispanic EPESE provides data on risk factors for mortality and morbidity in Mexican Americans in order to contrast how these factors operate differently in non-Hispanic White Americans, African Americans, and other major ethnic groups. The Wave 8 dataset comprises the seventh follow-up of the baseline Hispanic EPESE (HISPANIC ESTABLISHED POPULATIONS FOR THE EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1993-1994: [ARIZONA, CALIFORNIA, COLORADO, NEW MEXICO, AND TEXAS] [ICPSR 2851]). The baseline Hispanic EPESE collected data on a representative sample of community-dwelling Mexican Americans, aged 65 years and older, residing in the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas. The public-use data cover demographic characteristics (age, sex, marital status), height, weight, BMI, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of hospital and nursing home services, and depression. Subsequent follow-ups provide a cross-sectional examination of the predictors of mortality, changes in health outcomes, and institutionalization, and other changes in living arrangements, as well as changes in life situations and quality of life issues. During this 8th Wave, 2012-2013, re-interviews were conducted either in person or by proxy, with 452 of the original respondents. This Wave also includes 292 re-interviews from the additional sample of Mexican Americans aged 75 years and over with higher average-levels of education than those of the surviving cohort who were added in Wave 5, increasing the total number of respondents to 744.

  7. n

    Longitudinal Study of Elderly Mexican American Health

    • neuinfo.org
    • scicrunch.org
    • +2more
    Updated Sep 7, 2024
    + more versions
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    (2024). Longitudinal Study of Elderly Mexican American Health [Dataset]. http://identifiers.org/RRID:SCR_008941/resolver/mentions
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    Dataset updated
    Sep 7, 2024
    Description

    A dataset of a longitudinal study of over 3,000 Mexican-Americans aged 65 or over living in five southwestern states. The objective is to describe the physical and mental health of the study group and link them to key social variables (e.g., social support, health behavior, acculturation, migration). To the extent possible, the study was modeled after the existing EPESE studies, especially the Duke EPESE, which included a large sample if African-Americans. Unlike the other EPESE studies that were restricted to small geographic areas, the Hispanic EPESE aimed at obtaining a representative sample of community-dwelling Mexican-American elderly residing in Texas, New Mexico, Arizona, Colorado, and California. Approximately 85% of Mexican-American elderly reside in these states and data were obtained that are generalizable to roughly 500,000 older people. The final sample of 3,050 subjects at baseline is comparable to those of the other EPESE studies. Data Availability: Waves I to IV are available through the National Archive of Computerized Data on Aging (NACDA), ICPSR. Also available through NACDA is the ����??Resource Book of the Hispanic Established Populations for the Epidemiologic Studies of the Elderly����?? which offers a thorough review of the data and its applications. All subjects aged 75 or older were interviewed for Wave V and 902 new subjects were added. Hemoglobin A1c test kits were provided to subjects who self-reported diabetes. Approximately 270 of the kits were returned for analyses. Wave V data are being validated and reviewed. A tentative timeline for the archiving of Wave V data is November 2006. Wave VI interviewing and data collection is scheduled to begin in Fall 2006. * Dates of Study: 1993-2006 * Study Features: Longitudinal, Minority oversamples, Anthropometric Measures * Sample Size: ** 1993-4: 3,050 (Wave I) ** 1995-6: 2,438 (Wave II) ** 1998-9: 1,980 (Wave III) ** 2000-1: 1,682 (Wave IV) ** 2004-5: 2,073 (Wave V) ** 2006-7: (Wave VI) Links: * ICPSR Wave 1: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/2851 * ICPSR Wave 2: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/3385 * ICPSR Wave 3: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4102 * ICPSR Wave 4: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4314 * ICPSR Wave 5: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/25041 * ICPSR Wave 6: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/29654

  8. f

    rBmαTX14 Increases the Life Span and Promotes the Locomotion of...

    • figshare.com
    • plos.figshare.com
    tiff
    Updated May 30, 2023
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    Lan Chen; Ju Zhang; Jie Xu; Lu Wan; Kaixuan Teng; Jin Xiang; Rui Zhang; Zebo Huang; Yongmei Liu; Wenhua Li; Xin Liu (2023). rBmαTX14 Increases the Life Span and Promotes the Locomotion of Caenorhabditis Elegans [Dataset]. http://doi.org/10.1371/journal.pone.0161847
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lan Chen; Ju Zhang; Jie Xu; Lu Wan; Kaixuan Teng; Jin Xiang; Rui Zhang; Zebo Huang; Yongmei Liu; Wenhua Li; Xin Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The scorpion has been extensively used in various pharmacological profiles or as food supplies. The exploration of scorpion venom has been reported due to the presence of recombinant peptides. rBmαTX14 is an α-neurotoxin extracted from the venom gland of the East Asian scorpion Buthus martensii Karsch and can affect ion channel conductance. Here, we investigated the functions of rBmαTX14 using the Caenorhabditis elegans model. Using western blot analysis, rBmαTX14 was shown to be expressed both in the cytoplasm and inclusion bodies in the E.coli Rosetta (DE3) strain. Circular dichroism spectroscopy analysis demonstrated that purified rBmαTX14 retained its biological structures. Next, feeding nematodes with E.coli Rosetta (DE3) expressing rBmαTX14 caused extension of the life span and promoted the locomotion of the nematodes. In addition, we identified several genes that play various roles in the life span and locomotion of C. elegans through microarray analysis and quantitative real-time PCR. Furthermore, if the amino acid site H15 of rBmαTX14 was mutated, rBmαTX14 no longer promoted the C. elegans life span. In conclusion, the results not only demonstrated the functions and mechanism of rBmαTX14 in C. elegans, but also provided the new sight in the utility of recombinant peptides from scorpion venom.

  9. Data from: Hispanic Established Populations for Epidemiologic Studies of the...

    • search.datacite.org
    • icpsr.umich.edu
    Updated 2005
    + more versions
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    Kyriakos S. Markides; Laura A. Ray (2005). Hispanic Established Populations for Epidemiologic Studies of the Elderly, Wave IV, 2000-2001 [Arizona, California, Colorado, New Mexico, and Texas] [Dataset]. http://doi.org/10.3886/icpsr04314
    Explore at:
    Dataset updated
    2005
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Kyriakos S. Markides; Laura A. Ray
    Dataset funded by
    United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
    Description

    This dataset comprises the third follow-up of the baseline Hispanic EPESE, HISPANIC ESTABLISHED POPULATIONS FOR THE EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1993-1994: ARIZONA, CALIFORNIA, COLORADO, NEW MEXICO, AND TEXAS, and provides information on 1,682 of the original respondents. The Hispanic EPESE collected data on a representative sample of community-dwelling Mexican-American elderly, aged 65 years and older, residing in the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas. The primary purpose of the series was to provide estimates of the prevalence of key physical health conditions, mental health conditions, and functional impairments in older Mexican Americans and to compare these estimates with those for other populations. The Hispanic EPESE attempted to determine whether certain risk factors for mortality and morbidity operate differently in Mexican Americans than in non-Hispanic White Americans, African Americans, and other major ethnic groups. The public-use data cover background characteristics (age, sex, type of Hispanic race, income, education, marital status, number of children, employment, and religion), height, weight, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of dental, hospital, and nursing home services, and depression. The follow-ups provide a cross-sectional examination of the predictors of mortality, changes in health outcomes, and institutionalization and other changes in living arrangements, as well as changes in life situations and quality of life issues. The vital status of respondents from baseline to this round of the survey may be determined using the Vital Status file (Part 2). This file contains interview dates from the baseline as well as vital status at Wave IV (respondent survived, date of death if deceased, proxy-assisted, proxy-reported cause of death, proxy-true). The first follow-up of the baseline data (Hispanic EPESE Wave II, 1995-1996 [ICPSR 3385]) followed 2,438 of the original 3,050 respondents, and the second follow-up (Hispanic EPESE Wave III, 1998-1999 [ICPSR 4102]) followed 1,980 of these respondents. Hispanic EPESE, 1993-1994 (ICPSR 2851), was modeled after the design of ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1981-1993: EAST BOSTON, MASSACHUSETTS, IOWA AND WASHINGTON COUNTIES, IOWA, NEW HAVEN, CONNECTICUT, AND NORTH CENTRAL NORTH CAROLINA and ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1996-1997: PIEDMONT HEALTH SURVEY OF THE ELDERLY, FOURTH IN-PERSON SURVEY DURHAM, WARREN, VANCE, GRANVILLE, AND FRANKLIN COUNTIES, NORTH CAROLINA.

  10. f

    Effect of rBmαTX14 mutations on longevity.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Lan Chen; Ju Zhang; Jie Xu; Lu Wan; Kaixuan Teng; Jin Xiang; Rui Zhang; Zebo Huang; Yongmei Liu; Wenhua Li; Xin Liu (2023). Effect of rBmαTX14 mutations on longevity. [Dataset]. http://doi.org/10.1371/journal.pone.0161847.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lan Chen; Ju Zhang; Jie Xu; Lu Wan; Kaixuan Teng; Jin Xiang; Rui Zhang; Zebo Huang; Yongmei Liu; Wenhua Li; Xin Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Effect of rBmαTX14 mutations on longevity.

  11. List of differentially expressed genes and their physiological functions.

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Lan Chen; Ju Zhang; Jie Xu; Lu Wan; Kaixuan Teng; Jin Xiang; Rui Zhang; Zebo Huang; Yongmei Liu; Wenhua Li; Xin Liu (2023). List of differentially expressed genes and their physiological functions. [Dataset]. http://doi.org/10.1371/journal.pone.0161847.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lan Chen; Ju Zhang; Jie Xu; Lu Wan; Kaixuan Teng; Jin Xiang; Rui Zhang; Zebo Huang; Yongmei Liu; Wenhua Li; Xin Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    List of differentially expressed genes and their physiological functions.

  12. Number of U.S. presidents who died in each state 1799-2018

    • statista.com
    Updated Jun 18, 2020
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    Statista (2020). Number of U.S. presidents who died in each state 1799-2018 [Dataset]. https://www.statista.com/statistics/1123011/us-president-deaths-by-states/
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    Dataset updated
    Jun 18, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Of the 44 men who have served as President of the United States, eight died while in office, while 31 passed away after their term had ended. Five presidents, including incumbent President Donald Trump, are still alive today. The most common state in which U.S. presidents have died was New York, which has seen the deaths of nine U.S. presidents. A total of fourteen presidents have passed away in the same state in which they were born, which includes all four who passed away in Virginia, but none of those who did so in Washington D.C. Although seven presidents were born in Ohio, Rutherford B. Hayes is the only to have passed away in this state. The most recent presidential death occurred in November 2018, when George H. W. Bush passed away in his family home in Houston, Texas. At 94 years old, Bush Sr. had been the oldest living president at the time of his death; however that title has since passed to Jimmy Carter, who will turn 96 years old in October 2020. John F. Kennedy was the president who died at the youngest age, when he was assassinated at 46 years old; while James K. Polk was the youngest president to die of natural causes, at 53 years of age.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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City of Dallas GIS Services (2022). Texas Life Expectancy by Census Tract [Dataset]. https://egisdata-dallasgis.hub.arcgis.com/datasets/texas-life-expectancy-by-census-tract/explore

Texas Life Expectancy by Census Tract

Explore at:
Dataset updated
Mar 11, 2022
Dataset authored and provided by
City of Dallas GIS Services
Area covered
Description

This service contains data on the life expectancy for the census tracts within Texas. The longevity data for this service was created by the Center for Disease Control U.S. Small-area Life Expectancy Estimates Project (USALEEP). This data was last updated on March 2022. This data was created by the CDC using data from 2018. More information on the US Small Area Life Expectancy Estimate Project program can be found at NVSS - United States Small-Area Life Expectancy Estimates Project.

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