21 datasets found
  1. Actuarial Note 159 - Table 5

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 5 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-5
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 5 of Actuarial Note 159 presents death rates experienced by the general population in the Social Security coverage area consistent with estimates in the 2017 Trustees Reports.

  2. Actuarial Note 159 - Table 6

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 6 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-6
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 6 of Actuarial Note 159 presents the ratio of the adjusted death rates for claimants with cases pending an Administrative Law Judge's (ALJ) determination to the similarly adjusted death rates for the general population.

  3. Actuarial Note 159 - Table 2

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 2 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-2
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 2 of Actuarial Note 159 contains data about the number of Old Age, Survivors, and Disability Insurance (OASDI) and Supplemental Security Income (SSI) claimants whose cases are pending an Administrative Law Judge's (ALJ) determination at the end of each fiscal year. There is a subset of under age 18 and age 18+ data.

  4. Actuarial Note 159 Data Collection

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 Data Collection [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-data-collection
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    This data collection hold machine readable files for each of the tables in Actuarial Note 159 - Probability of Death While Pending an Administrative Law Judge Determination.

  5. Actuarial Note 159 - Table 7

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 7 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-7
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 7 of Actuarial Note 159 provides a comparison of death rates for claimants with cases pending an Administrative Law Judge's (ALJ) determination, to the death rates for Disability Insurance (DI) disabled worker beneficiaries who are in their first two years of entitlement.

  6. Actuarial Note 159 - Table 3

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 3 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-3
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 3 of Actuarial Note 159 contains data about annualized exposure among claimants awaiting a decision on their Social Security disability claim by an Administrative Law Judge (ALJ). Following standard actuarial practice, this exposure is approximated as the average number of living claimants pending at the beginning and the end of each year, plus one-half of the deaths occurring during the year.

  7. Health Inequality Project

    • redivis.com
    application/jsonl +7
    Updated Jan 17, 2020
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    Stanford Center for Population Health Sciences (2020). Health Inequality Project [Dataset]. http://doi.org/10.57761/7wg0-e126
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    parquet, arrow, avro, spss, csv, stata, sas, application/jsonlAvailable download formats
    Dataset updated
    Jan 17, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 2001 - Dec 31, 2014
    Description

    Abstract

    The Health Inequality Project uses big data to measure differences in life expectancy by income across areas and identify strategies to improve health outcomes for low-income Americans.

    Section 7

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each percentile of the national income distribution. Both race-adjusted and unadjusted estimates are reported.

    Source

    Section 13

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each percentile of the national income distribution separately by year. Both race-adjusted and unadjusted estimates are reported.

    Source

    Section 6

    This dataset was created on 2020-01-10 18:53:00.508 by merging multiple datasets together. The source datasets for this version were:

    Commuting Zone Life Expectancy Estimates by year: CZ-level by-year life expectancy estimates for men and women, by income quartile

    Commuting Zone Life Expectancy: Commuting zone (CZ)-level life expectancy estimates for men and women, by income quartile

    Commuting Zone Life Expectancy Trends: CZ-level estimates of trends in life expectancy for men and women, by income quartile

    Commuting Zone Characteristics: CZ-level characteristics

    Commuting Zone Life Expectancy for larger populations: CZ-level life expectancy estimates for men and women, by income ventile

    Section 15

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by state of residence and year. Both race-adjusted and unadjusted estimates are reported.

    Source

    Section 11

    This table reports US mortality rates by gender, age, year and household income percentile. Household incomes are measured two years prior to the mortality rate for mortality rates at ages 40-63, and at age 61 for mortality rates at ages 64-76. The “lag” variable indicates the number of years between measurement of income and mortality.

    Observations with 1 or 2 deaths have been masked: all mortality rates that reflect only 1 or 2 deaths have been recoded to reflect 3 deaths

    Source

    Section 3

    This table reports coefficients and standard errors from regressions of life expectancy estimates for men and women at age 40 for each quartile of the national income distribution on calendar year by commuting zone of residence. Only the slope coefficient, representing the average increase or decrease in life expectancy per year, is reported. Trend estimates for both race-adjusted and unadjusted life expectancies are reported. Estimates are reported for the 100 largest CZs (populations greater than 590,000) only.

    Source

    Section 9

    This table reports life expectancy estimates at age 40 for Males and Females for all countries. Source: World Health Organization, accessed at: http://apps.who.int/gho/athena/

    Source

    Section 10

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by county of residence. Both race-adjusted and unadjusted estimates are reported. Estimates are reported for counties with populations larger than 25,000 only

    Source

    Section 2

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by commuting zone of residence and year. Both race-adjusted and unadjusted estimates are reported. Estimates are reported for the 100 largest CZs (populations greater than 590,000) only.

    Source

    Section 8

    This table reports US population and death counts by age, year, and sex from various sources. Counts labelled “dm1” are derived from the Social Security Administration Data Master 1 file. Counts labelled “irs” are derived from tax data. Counts labelled “cdc” are derived from NCHS life tables.

    Source

    Section 12

    This table reports numerous county characteristics, compiled from various sources. These characteristics are described in the county life expectancy table.

    Two variables constructed by the Cen

  8. Actuarial Note 159 - Table 4

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 4 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-4
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 4 of Actuarial Note 159 contains data about the death rate among claimants while an Administrative Law Judge (ALJ) determination is pending.

  9. f

    Examples of time and age coordinates of the event as a function of the...

    • plos.figshare.com
    xls
    Updated Feb 21, 2025
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    Jose M. Pavía; Josep Lledó (2025). Examples of time and age coordinates of the event as a function of the length of the year utilised to calculate the exact age at event. [Dataset]. http://doi.org/10.1371/journal.pone.0315937.t001
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    xlsAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Jose M. Pavía; Josep Lledó
    License

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

    Description

    Examples of time and age coordinates of the event as a function of the length of the year utilised to calculate the exact age at event.

  10. J

    Japan IPSS: Population: Projection: Medium Mortality: High Birth Rate

    • ceicdata.com
    + more versions
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    CEICdata.com, Japan IPSS: Population: Projection: Medium Mortality: High Birth Rate [Dataset]. https://www.ceicdata.com/en/japan/population-projection-national-institute-of-population-and-social-security-research/ipss-population-projection-medium-mortality-high-birth-rate
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2054 - Dec 1, 2065
    Area covered
    Japan
    Description

    Japan IPSS: Population: Projection: Medium Mortality: High Birth Rate data was reported at 94,903.610 Person th in 2065. This records a decrease from the previous number of 95,688.439 Person th for 2064. Japan IPSS: Population: Projection: Medium Mortality: High Birth Rate data is updated yearly, averaging 113,738.979 Person th from Dec 2015 (Median) to 2065, with 51 observations. The data reached an all-time high of 127,094.745 Person th in 2015 and a record low of 94,903.610 Person th in 2065. Japan IPSS: Population: Projection: Medium Mortality: High Birth Rate data remains active status in CEIC and is reported by National Institute of Population and Social Security Research. The data is categorized under Global Database’s Japan – Table JP.G004: Population: Projection: National Institute of Population and Social Security Research.

  11. f

    Description of the functions in qlifetable for building quarterly life...

    • plos.figshare.com
    xls
    Updated Feb 21, 2025
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    Jose M. Pavía; Josep Lledó (2025). Description of the functions in qlifetable for building quarterly life tables. [Dataset]. http://doi.org/10.1371/journal.pone.0315937.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Jose M. Pavía; Josep Lledó
    License

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

    Description

    Description of the functions in qlifetable for building quarterly life tables.

  12. f

    Examples of exact ages at events as a function of the length of the year...

    • plos.figshare.com
    xls
    Updated Feb 21, 2025
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    Jose M. Pavía; Josep Lledó (2025). Examples of exact ages at events as a function of the length of the year utilised to calculate them when births and events happen at exactly the same moment in two different time years. [Dataset]. http://doi.org/10.1371/journal.pone.0315937.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Jose M. Pavía; Josep Lledó
    License

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

    Description

    Examples of exact ages at events as a function of the length of the year utilised to calculate them when births and events happen at exactly the same moment in two different time years.

  13. J

    Japan IPSS: Population: Projection: Low Mortality: High Birth Rate

    • ceicdata.com
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    CEICdata.com, Japan IPSS: Population: Projection: Low Mortality: High Birth Rate [Dataset]. https://www.ceicdata.com/en/japan/population-projection-national-institute-of-population-and-social-security-research/ipss-population-projection-low-mortality-high-birth-rate
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2054 - Dec 1, 2065
    Area covered
    Japan
    Description

    Japan IPSS: Population: Projection: Low Mortality: High Birth Rate data was reported at 96,570.605 Person th in 2065. This records a decrease from the previous number of 97,346.029 Person th for 2064. Japan IPSS: Population: Projection: Low Mortality: High Birth Rate data is updated yearly, averaging 115,105.879 Person th from Dec 2015 (Median) to 2065, with 51 observations. The data reached an all-time high of 127,094.745 Person th in 2015 and a record low of 96,570.605 Person th in 2065. Japan IPSS: Population: Projection: Low Mortality: High Birth Rate data remains active status in CEIC and is reported by National Institute of Population and Social Security Research. The data is categorized under Global Database’s Japan – Table JP.G004: Population: Projection: National Institute of Population and Social Security Research.

  14. J

    Japan IPSS: Median Mortality (MM): Low Birth Rate (LBR): Average Age

    • ceicdata.com
    Updated Apr 15, 2023
    + more versions
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    CEICdata.com (2023). Japan IPSS: Median Mortality (MM): Low Birth Rate (LBR): Average Age [Dataset]. https://www.ceicdata.com/en/japan/2023-population-estimates-2020-census-national-institute-of-population-and-social-security-research/ipss-median-mortality-mm-low-birth-rate-lbr-average-age
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    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2059 - Dec 1, 2070
    Area covered
    Japan
    Description

    Japan IPSS: Median Mortality (MM): Low Birth Rate (LBR): Average Age data was reported at 56.600 NA in 2070. This records an increase from the previous number of 56.500 NA for 2069. Japan IPSS: Median Mortality (MM): Low Birth Rate (LBR): Average Age data is updated yearly, averaging 52.900 NA from Dec 2020 (Median) to 2070, with 51 observations. The data reached an all-time high of 56.600 NA in 2070 and a record low of 47.600 NA in 2020. Japan IPSS: Median Mortality (MM): Low Birth Rate (LBR): Average Age data remains active status in CEIC and is reported by National Institute of Population and Social Security Research. The data is categorized under Global Database’s Japan – Table JP.G005: 2023 Population Estimates: 2020 Census: National Institute of Population and Social Security Research.

  15. Final adjusted model for the 10-year competing risk of other cause...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware (2023). Final adjusted model for the 10-year competing risk of other cause mortality. [Dataset]. http://doi.org/10.1371/journal.pone.0240039.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware
    License

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

    Description

    Final adjusted model for the 10-year competing risk of other cause mortality.

  16. J

    Japan IPSS: Population: Projection: Low Mortality: Low Birth Rate

    • ceicdata.com
    + more versions
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    CEICdata.com, Japan IPSS: Population: Projection: Low Mortality: Low Birth Rate [Dataset]. https://www.ceicdata.com/en/japan/population-projection-national-institute-of-population-and-social-security-research/ipss-population-projection-low-mortality-low-birth-rate
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2054 - Dec 1, 2065
    Area covered
    Japan
    Description

    Japan IPSS: Population: Projection: Low Mortality: Low Birth Rate data was reported at 83,781.534 Person th in 2065. This records a decrease from the previous number of 84,877.121 Person th for 2064. Japan IPSS: Population: Projection: Low Mortality: Low Birth Rate data is updated yearly, averaging 109,693.156 Person th from Dec 2015 (Median) to 2065, with 51 observations. The data reached an all-time high of 127,094.745 Person th in 2015 and a record low of 83,781.534 Person th in 2065. Japan IPSS: Population: Projection: Low Mortality: Low Birth Rate data remains active status in CEIC and is reported by National Institute of Population and Social Security Research. The data is categorized under Global Database’s Japan – Table JP.G004: Population: Projection: National Institute of Population and Social Security Research.

  17. f

    Range of 10-year other cause mortality risk predictions.

    • figshare.com
    xls
    Updated Jun 12, 2023
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    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware (2023). Range of 10-year other cause mortality risk predictions. [Dataset]. http://doi.org/10.1371/journal.pone.0240039.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware
    License

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

    Description

    Range of 10-year other cause mortality risk predictions.

  18. Japan IPSS: Population: Projection: High Mortality: Medium Birth Rate

    • ceicdata.com
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    CEICdata.com, Japan IPSS: Population: Projection: High Mortality: Medium Birth Rate [Dataset]. https://www.ceicdata.com/en/japan/population-projection-national-institute-of-population-and-social-security-research/ipss-population-projection-high-mortality-medium-birth-rate
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2054 - Dec 1, 2065
    Area covered
    Japan
    Description

    Japan IPSS: Population: Projection: High Mortality: Medium Birth Rate data was reported at 86,402.357 Person th in 2065. This records a decrease from the previous number of 87,369.137 Person th for 2064. Japan IPSS: Population: Projection: High Mortality: Medium Birth Rate data is updated yearly, averaging 109,533.072 Person th from Dec 2015 (Median) to 2065, with 51 observations. The data reached an all-time high of 127,094.745 Person th in 2015 and a record low of 86,402.357 Person th in 2065. Japan IPSS: Population: Projection: High Mortality: Medium Birth Rate data remains active status in CEIC and is reported by National Institute of Population and Social Security Research. The data is categorized under Global Database’s Japan – Table JP.G004: Population: Projection: National Institute of Population and Social Security Research.

  19. J

    Japan IPSS: Population: Projection: Low Mortality: Medium Birth Rate

    • ceicdata.com
    Updated May 26, 2018
    + more versions
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    CEICdata.com (2018). Japan IPSS: Population: Projection: Low Mortality: Medium Birth Rate [Dataset]. https://www.ceicdata.com/en/japan/population-projection-national-institute-of-population-and-social-security-research/ipss-population-projection-low-mortality-medium-birth-rate
    Explore at:
    Dataset updated
    May 26, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2054 - Dec 1, 2065
    Area covered
    Japan
    Description

    Japan IPSS: Population: Projection: Low Mortality: Medium Birth Rate data was reported at 89,736.267 Person th in 2065. This records a decrease from the previous number of 90,687.114 Person th for 2064. Japan IPSS: Population: Projection: Low Mortality: Medium Birth Rate data is updated yearly, averaging 112,283.938 Person th from Dec 2015 (Median) to 2065, with 51 observations. The data reached an all-time high of 127,094.745 Person th in 2015 and a record low of 89,736.267 Person th in 2065. Japan IPSS: Population: Projection: Low Mortality: Medium Birth Rate data remains active status in CEIC and is reported by National Institute of Population and Social Security Research. The data is categorized under Global Database’s Japan – Table JP.G004: Population: Projection: National Institute of Population and Social Security Research.

  20. f

    Table of the CDC PLACES county-level data including four underlying themes...

    • plos.figshare.com
    xls
    Updated Jan 26, 2024
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    Ramzi Ibrahim; Adam Habib; Kristina Terrani; Soumiya Ravi; Chelsea Takamatsu; Mohammed Salih; João Paulo Ferreira (2024). Table of the CDC PLACES county-level data including four underlying themes encompassing 29 distinct chronic disease/social determinants of health-related measures. [Dataset]. http://doi.org/10.1371/journal.pone.0292167.t001
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    xlsAvailable download formats
    Dataset updated
    Jan 26, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Ramzi Ibrahim; Adam Habib; Kristina Terrani; Soumiya Ravi; Chelsea Takamatsu; Mohammed Salih; João Paulo Ferreira
    License

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

    Description

    Table of the CDC PLACES county-level data including four underlying themes encompassing 29 distinct chronic disease/social determinants of health-related measures.

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Social Security Administration (2025). Actuarial Note 159 - Table 5 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-5
Organization logo

Actuarial Note 159 - Table 5

Explore at:
Dataset updated
Jan 24, 2025
Dataset provided by
Social Security Administrationhttp://www.ssa.gov/
Description

Table 5 of Actuarial Note 159 presents death rates experienced by the general population in the Social Security coverage area consistent with estimates in the 2017 Trustees Reports.

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