54 datasets found
  1. Annual Statistical Report on the Social Security Disability Insurance...

    • catalog.data.gov
    Updated May 22, 2025
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    Social Security Administration (2025). Annual Statistical Report on the Social Security Disability Insurance Program - 2022 [Dataset]. https://catalog.data.gov/dataset/annual-statistical-report-on-the-social-security-disability-insurance-program-2022
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    Dataset updated
    May 22, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    This annual report provides program and demographic information on the people who receive Social Security Disability Insurance Program benefits. This edition presents a series of detailed tables on the three categories of beneficiaries: disabled workers, disabled widowers, and disabled adult children. Numbers presented in these tables may differ slightly from other published statistics because all tables, except those using data from the Survey of Income and Program Participation, are based on 100 percent data files. Report for 2022.

  2. d

    Data from: New Beneficiary Data System

    • dknet.org
    • neuinfo.org
    • +2more
    Updated Sep 8, 2024
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    (2024). New Beneficiary Data System [Dataset]. http://identifiers.org/RRID:SCR_013320
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    Dataset updated
    Sep 8, 2024
    Description

    Data set of extensive information on the changing circumstances of aged and disabled beneficiaries - Living, noninstitutionalized population of the continental United States from the Social Security Administration''''s Master Benefit Record who were new recipients of Social Security benefits (first payment in mid-1980 through mid-1981) or who had established entitlement to Medicare and were eligible for, but had not received, Social Security benefits as of July 1982. Based initially on a national cross-sectional survey of new beneficiaries in 1982, the original data base was expanded with information from administrative records and a second round of interviews in 1991. Variables measured in the original New Beneficiary Survey (NBS) include demographic characteristics; employment, marital, and childbearing histories; household composition; health; income and assets; program knowledge; and information about the spouses of married respondents. The 1991 New Beneficiary Follow-up (NBF) updated marital status, household composition, and the economic profile and contains additional sections on family contacts, postretirement employment, effects of widowhood and divorce, major reasons for changes in economic status, a more extensive section on health, and information on household moves and reasons for moving. Disabled-worker beneficiaries were also asked about their efforts to return to work, experiences with rehabilitation services, and knowledge of SSA work incentive provisions. The NBDS also links to administrative files of yearly covered earnings from 1951 to 1992, Medicare expenditures from 1984 to 1999, whether an SSI application has ever been made and payment status at five points in time, and dates of death as of spring 2001. For studies of health, the Medicare expenditure variables include inpatient hospital costs, outpatient hospital costs, home health care costs, and physicians'''' charges. The survey data cover functional capacity including ADLs and IADLs. For studies of work in retirement, the survey includes yearly information on extent of work, characteristics of the current or last job, and reasons for working or not working. No other data set has such detailed baseline survey data of a population immediately after retirement or disability, enhanced with subsequent measures over an extended period of time. The data are publicly available through NACDA and the Social Security Administration Website. * Dates of Study: 1982-1991 * Study Features: Longitudinal * Sample Size: ** 18,136 (NBS 1981) ** 12,677 (NBF 1991) Links: * 1982 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08510 * 1991 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06118

  3. National Beneficiary Survey (NBS) Round 5

    • catalog.data.gov
    • datasets.ai
    Updated Mar 8, 2025
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    Social Security Administration (2025). National Beneficiary Survey (NBS) Round 5 [Dataset]. https://catalog.data.gov/dataset/national-beneficiary-survey-nbs-round-5
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    Dataset updated
    Mar 8, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    The National Beneficiary Survey (NBS) Round 5 is a cross-sectional survey of a nationally representative sample of social security beneficiaries age 18 to full retirement age receiving disability benefits in active pay status as of June 2014. We conducted Round 5 in 2015. The NBS collects data on key health, employment, and socio-demographic factors that contribute to Social Security Disability Insurance (SSDI) beneficiaries' and Supplemental Security Income (SSI) recipients' successful or unsuccessful employment efforts.

  4. Disability Analysis File (DAF) - Public Use File (PUF) Data Collection

    • datasets.ai
    • catalog.data.gov
    • +1more
    21, 33
    Updated Nov 10, 2020
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    Social Security Administration (2020). Disability Analysis File (DAF) - Public Use File (PUF) Data Collection [Dataset]. https://datasets.ai/datasets/disability-analysis-file-daf-public-use-file-puf-data-collection
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    33, 21Available download formats
    Dataset updated
    Nov 10, 2020
    Dataset authored and provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    The Disability Analysis File (DAF) - Public Use File (PUF), which contains a random 10 percent sample of beneficiaries included in the full DAF, is a set of files containing data related to program participation and benefits for Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) beneficiaries between the ages of 18 and Full Retirement Age (FRA) who have received disability benefits in any month since 1996. It also includes data on selected beneficiaries aged 10 to 17 who have received benefits since 2005. The DAF contains data as early as January 1994 and many longitudinal variables are available for the full time period. Some variables are only available for a portion of the time range and information in the DAF documentation provides users with the range available for each variable. The PUF is sectioned into two core components, the Demographic component and the Annuals components, linkable using the unique identifier variable in each file. Please Note: the CSV files will not

  5. New [Social Security] Beneficiary Survey, 1982: [United States]

    • icpsr.umich.edu
    • archive.ciser.cornell.edu
    ascii
    Updated Jan 12, 2006
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    United States Social Security Administration. Office of Research, Statistics, and Policy Analysis (2006). New [Social Security] Beneficiary Survey, 1982: [United States] [Dataset]. http://doi.org/10.3886/ICPSR08510.v3
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Social Security Administration. Office of Research, Statistics, and Policy Analysis
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8510/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8510/terms

    Time period covered
    1951 - 1985
    Area covered
    United States
    Dataset funded by
    Social Security Administrationhttp://ssa.gov/
    Description

    The New Beneficiary Survey collected information from recent recipients of Social Security benefits and their spouses and from persons aged 65 and older who were entitled to Medicare benefits but had not yet received Social Security benefits. These data cover demographic characteristics of the respondent, spouse, and other persons in the household, as well as employment history, health information, and current income of the respondent and spouse for the three months preceding the interview. Survey responses were linked with data on benefit status from the Social Security Administration's Master Beneficiary Record. Imputation was used to compensate for nonresponse in a set of income-related items. In addition, data are provided in Part 2 on covered earnings and quarters from 1951-1985. This information is averaged in two-year blocks to preserve confidentiality.

  6. Annual Statistical Report on the Social Security Disability Insurance...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Feb 1, 2023
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    Social Security Administration (2023). Annual Statistical Report on the Social Security Disability Insurance Program - 2007 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/annual-statistical-report-on-the-social-security-disability-insurance-program-2007
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    Dataset updated
    Feb 1, 2023
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    This annual report provides program and demographic information on the people who receive Social Security Disability Insurance Program benefits. This edition presents a series of detailed tables on the three categories of beneficiaries: disabled workers, disabled widowers, and disabled adult children. Numbers presented in these tables may differ slightly from other published statistics because all tables, except those using data from the Survey of Income and Program Participation, are based on 100 percent data files. Report for 2007.

  7. New [Social Security] Beneficiary Followup, 1991: [United States]

    • icpsr.umich.edu
    • archive.ciser.cornell.edu
    ascii
    Updated Jan 18, 2006
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    United States Department of Health and Human Services. Social Security Administration. Office of Research and Statistics (2006). New [Social Security] Beneficiary Followup, 1991: [United States] [Dataset]. http://doi.org/10.3886/ICPSR06457.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Health and Human Services. Social Security Administration. Office of Research and Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6457/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6457/terms

    Time period covered
    1991
    Area covered
    United States
    Description

    The 1991 New [Social Security] Beneficiary Followup (NBF) is the second wave of the Social Security Administration's NEW [SOCIAL SECURITY] BENEFICIARY SURVEY, 1988: UNITED STATES (ICPSR 8510). Together, the two surveys are referred to as the New Beneficiary Data System (NBDS). The NBDS contains information on the changing circumstances of aged and disabled Title II beneficiaries. This wave includes information from administrative records as well as data from followup interviews with survivors from the original survey. The NBS was conducted in late 1982 with a sample representing nearly 2 million persons who had begun receiving Social Security benefits during a 12-month period in 1980-1981. Personal interviews were completed with three types of beneficiaries: 9,103 retired workers, 5,172 disabled workers, and 2,417 wife or widow beneficiaries. In addition, interviews were obtained from 1,444 aged persons who were entitled to Medicare benefits but were not receiving Social Security payments because of high earnings. The NBS interviews covered a wide range of topics, including demographic characteristics of the respondent, spouse, and any other persons in the household, as well as marital and childbearing history, employment history, current income and assets, and health. Selected data were also gathered from spouses and added from administrative records. The NBF followup interviews were conducted throughout 1991 with surviving original sample persons from the NBS and surviving spouses of NBS decedents. The NBF updated information on economic circumstances obtained in the NBS, and added or expanded sections dealing with health, family contacts, and post-retirement employment. The interviews also probed major changes in living circumstances that might cause changes in economic status (for example, death of a spouse, episodes of hospitalization, and changes of residence). In addition, disabled workers were asked about their efforts to return to work, experiences with rehabilitation services, and knowledge of Social Security work incentive provisions. Since the 1982 survey, selected information on the NBS respondents has been compiled periodically from Social Security, Supplemental Security Income (SSI), and Medicare records. These administrative data, which can be linked to the survey data, make it possible to analyze changes in NBS respondents' covered earnings, cash benefits, participation in the SSI program, and health expenses.

  8. Annual Statistical Report on the Social Security Disability Insurance...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Feb 1, 2023
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    Social Security Administration (2023). Annual Statistical Report on the Social Security Disability Insurance Program - 2008 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/annual-statistical-report-on-the-social-security-disability-insurance-program-2008
    Explore at:
    Dataset updated
    Feb 1, 2023
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    This annual report provides program and demographic information on the people who receive Social Security Disability Insurance Program benefits. This edition presents a series of detailed tables on the three categories of beneficiaries: disabled workers, disabled widowers, and disabled adult children. Numbers presented in these tables may differ slightly from other published statistics because all tables, except those using data from the Survey of Income and Program Participation, are based on 100 percent data files. Report for 2008.

  9. Demographic and beneficiary type by race-ethnicity of adults with autism...

    • figshare.com
    xls
    Updated Jun 10, 2023
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    Teal W. Benevides; Henry J. Carretta; George Rust; Lindsay Shea (2023). Demographic and beneficiary type by race-ethnicity of adults with autism spectrum disorder. [Dataset]. http://doi.org/10.1371/journal.pone.0251353.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Teal W. Benevides; Henry J. Carretta; George Rust; Lindsay Shea
    License

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

    Description

    Demographic and beneficiary type by race-ethnicity of adults with autism spectrum disorder.

  10. U.S. Metro Healthcare & Demographics

    • kaggle.com
    zip
    Updated May 10, 2023
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    Utkarsh Singh (2023). U.S. Metro Healthcare & Demographics [Dataset]. https://www.kaggle.com/datasets/utkarshx27/health-services-in-metropolitan-areas
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    zip(4602 bytes)Available download formats
    Dataset updated
    May 10, 2023
    Authors
    Utkarsh Singh
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Area covered
    United States
    Description
    The U.S. Census Bureau regularly collects information for many metropolitan areas in the United States, including data on number of physicians and number (and size) of hospitals. This dataset has such information for 83 different metropolitan areas.
    
    Column NameDescription
    CityName of the metropolitan area
    NumMDsNumber of physicians
    RateMDsNumber of physicians per 100,000 people
    NumHospitalsNumber of community hospitals
    NumBedsNumber of hospital beds
    RateBedsNumber of hospital beds per 100,000 people
    NumMedicareNumber of Medicare recipients in 2003
    PctChangeMedicarePercent change in Medicare recipients (2000 to 2003)
    MedicareRateNumber of Medicare recipients per 100,000 people
    SSBNumNumber of Social Security recipients in 2004
    SSBRateNumber of Social Security recipients per 100,000 people
    SSBChangePercent change in Social Security recipients (2000 to 2004)
    NumRetiredNumber of retired workers
    SSINumNumber of Supplemental Security Income recipients in 2004
    SSIRateNumber of Supplemental Security Income recipients per 100,000 people
    SqrtMDsSquare root of number of physicians
  11. C

    China CN: Social Security Fund: Injury: No of Beneficiary: Henan

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Social Security Fund: Injury: No of Beneficiary: Henan [Dataset]. https://www.ceicdata.com/en/china/social-insurance-mohrss-injury-no-of-people-receiving-benefit-by-region/cn-social-security-fund-injury-no-of-beneficiary-henan
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    Dataset updated
    Feb 15, 2025
    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, 2012 - Dec 1, 2023
    Area covered
    China
    Description

    Social Security Fund: Injury: Number of Beneficiary: Henan data was reported at 70.110 Person th in 2023. This records an increase from the previous number of 67.349 Person th for 2022. Social Security Fund: Injury: Number of Beneficiary: Henan data is updated yearly, averaging 46.700 Person th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 70.110 Person th in 2023 and a record low of 16.600 Person th in 2006. Social Security Fund: Injury: Number of Beneficiary: Henan data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GT: Social Insurance: MOHRSS: Injury: No of People Receiving Benefit: By Region.

  12. T

    FY 2020 Disability Compensation Recipients by County

    • data.va.gov
    • datahub.va.gov
    • +1more
    csv, xlsx, xml
    Updated Mar 12, 2025
    + more versions
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    Mike Schwaber (2025). FY 2020 Disability Compensation Recipients by County [Dataset]. https://www.data.va.gov/dataset/FY-2020-Disability-Compensation-Recipients-by-Coun/6263-7mn5
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    Mike Schwaber
    Description

    This report provides county-level estimates of the number of Veterans who received VA Disability Compensation benefits during fiscal year 2020. It includes the Veterans’ total service-connected disability (SCD) rating, age group, and sex. Blank values represent small cell counts that have been suppressed to protect the identity of Veterans. In the "Total: Disability Compensation Recipients" column, each blank cell represents less than 10 Veterans. Some categories may not sum to the total due to missing information (e.g., age, sex, etc.).

    Source: Department of Veterans Affairs, Office of Enterprise Integration, United States Veterans Eligibility Trends & Statistics (USVETS) 2020 and Veterans Benefits Administration VETSNET FY 2020 compensation data.

    Prepared by National Center for Veterans Analysis & Statistics, www.va.gov/vetdata.

  13. C

    China CN: Social Security Fund: Injury: No of Beneficiary: Shanxi

    • ceicdata.com
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    CEICdata.com, China CN: Social Security Fund: Injury: No of Beneficiary: Shanxi [Dataset]. https://www.ceicdata.com/en/china/social-insurance-mohrss-injury-no-of-people-receiving-benefit-by-region/cn-social-security-fund-injury-no-of-beneficiary-shanxi
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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, 2012 - Dec 1, 2023
    Area covered
    China
    Description

    Social Security Fund: Injury: Number of Beneficiary: Shanxi data was reported at 78.760 Person th in 2023. This records a decrease from the previous number of 82.150 Person th for 2022. Social Security Fund: Injury: Number of Beneficiary: Shanxi data is updated yearly, averaging 75.050 Person th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 113.900 Person th in 2016 and a record low of 33.000 Person th in 2006. Social Security Fund: Injury: Number of Beneficiary: Shanxi data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GT: Social Insurance: MOHRSS: Injury: No of People Receiving Benefit: By Region.

  14. r

    DSS Benefit and Payment Recipient Demographics - quarterly data

    • researchdata.edu.au
    Updated Jul 2, 2014
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    Department of Social Services (2014). DSS Benefit and Payment Recipient Demographics - quarterly data [Dataset]. https://researchdata.edu.au/dss-benefit-payment-quarterly-data/2975938
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    Dataset updated
    Jul 2, 2014
    Dataset provided by
    data.gov.au
    Authors
    Department of Social Services
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    The DSS Payment Demographic data set is made up of:\r \r Selected DSS payment data by \r \r * Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)\r \r * Demographic: age, sex and Indigenous/non-Indigenous \r \r * Duration on Payment (Working Age & Pensions)\r \r * Duration on Income Support (Working Age, Carer payment & Disability Support Pension)\r \r * Rate (Working Age & Pensions)\r \r * Earnings (Working Age & Pensions)\r \r * Age Pension assets data \r \r * JobSeeker Payment and Youth Allowance (other) Principal Carers\r \r * Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)\r \r * Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)\r \r * Disability Support Pension by medical condition\r \r * Care Receiver by medical conditions\r \r * Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.\r \r From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment.\r The expanded report will replace the standard report after June 2023.\r \r Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:\r \r • A new contents page to assist users locate the information within the spreadsheet\r \r • Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.\r \r • Additional information on the Employment Earning by ‘Income Free Area’ tab.\r \r \r From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. \r To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change.\r The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.\r \r \r Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.\r \r Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.\r \r SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023. \r \r From December 2021, the following are included in the report:\r \r * selected payments by work capacity, by various demographic breakdowns\r \r * rental type and homeownership\r \r * Family Tax Benefit recipients and children by payment type\r \r * Commonwealth Rent Assistance by proportion eligible for the maximum rate\r \r * an age breakdown for Age Pension recipients\r \r For further information, please see the Glossary.\r \r From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information. \r \r From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.\r \r From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:\r \r * Statistical Area 2 - SA2\r \r * Commonwealth Electoral Division - CED\r \r * Local Government Area - LGA\r \r Pre June 2014 Quarter Data contains:\r \r Selected DSS payment data by \r \r * Geography: state/territory; electorate; postcode and LGA\r \r * Demographic: age, sex and Indigenous/non-Indigenous \r \r Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment\r \r For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. \r Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below: \r \r * Statistical Paper series\r \r Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.\r \r 28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.

  15. g

    Annual Statistical Report on the Social Security Disability Insurance...

    • gimi9.com
    + more versions
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    Annual Statistical Report on the Social Security Disability Insurance Program - 2000 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_annual-statistical-report-on-the-social-security-disability-insurance-program-2000/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This annual report provides program and demographic information on the people who receive Social Security Disability Insurance Program benefits. This edition presents a series of detailed tables on the three categories of beneficiaries: disabled workers, disabled widowers, and disabled adult children. Numbers presented in these tables may differ slightly from other published statistics because all tables, except those using data from the Survey of Income and Program Participation, are based on 100 percent data files. Report for 2000.

  16. C

    China CN: Social Security Fund: Injury: No of Beneficiary: Chongqing

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Social Security Fund: Injury: No of Beneficiary: Chongqing [Dataset]. https://www.ceicdata.com/en/china/social-insurance-mohrss-injury-no-of-people-receiving-benefit-by-region/cn-social-security-fund-injury-no-of-beneficiary-chongqing
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    Dataset updated
    Feb 15, 2025
    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, 2012 - Dec 1, 2023
    Area covered
    China
    Description

    Social Security Fund: Injury: Number of Beneficiary: Chongqing data was reported at 67.148 Person th in 2023. This records an increase from the previous number of 63.437 Person th for 2022. Social Security Fund: Injury: Number of Beneficiary: Chongqing data is updated yearly, averaging 63.868 Person th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 81.300 Person th in 2014 and a record low of 15.600 Person th in 2007. Social Security Fund: Injury: Number of Beneficiary: Chongqing data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GT: Social Insurance: MOHRSS: Injury: No of People Receiving Benefit: By Region.

  17. Mexican Mortality Tables 1997 (Social Security)

    • kaggle.com
    zip
    Updated Aug 3, 2025
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    Fernando (2025). Mexican Mortality Tables 1997 (Social Security) [Dataset]. https://www.kaggle.com/datasets/japfvg/mexican-mortality-tables-1997-social-security/code
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    zip(1755 bytes)Available download formats
    Dataset updated
    Aug 3, 2025
    Authors
    Fernando
    License

    http://www.gnu.org/licenses/fdl-1.3.htmlhttp://www.gnu.org/licenses/fdl-1.3.html

    Description

    Demographic mortality bases for determining net premiums and mathematical pension reserves are as follows:

    a) EMSSAH-97 Active Mortality Experience for Males: Applied to reflect mortality rates for non-disabled male beneficiaries.

    b) EMSSAM-97 Active Mortality Experience for Females: Applied to reflect mortality rates for non-disabled female beneficiaries.

    c) EMSSIH-97 Disabled Mortality Experience for Males: Applied to reflect mortality rates for disabled orphaned male beneficiaries.

    d) EMSSIM-97 Disabled Mortality Experience for Females: Applied to reflect mortality rates for disabled orphaned female beneficiaries.

    File contents: | File Name | Contents | Fields | Field Description | --- | --- | --- | --- | tabla_mortalidad_activos.csv | a) and b) | EDAD | Age | tabla_mortalidad_activos.csv | a) | Hombres_Activos | Non disabled male | tabla_mortalidad_activos.csv | b) | Mujeres_Activas | Non disabled female | tabla_mortalidad_invalidos.csv | c) and d) | EDAD | Age | tabla_mortalidad_invalidos.csv | c) | Hombres_Invalidos | Disabled male | tabla_mortalidad_invalidos.csv | d) | Mujeres_Invalidas | Disabled female

  18. C

    China CN: Social Security Fund: Injury: No of Beneficiary: Shaanxi

    • ceicdata.com
    Updated Feb 15, 2024
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    CEICdata.com (2024). China CN: Social Security Fund: Injury: No of Beneficiary: Shaanxi [Dataset]. https://www.ceicdata.com/en/china/social-insurance-mohrss-injury-no-of-people-receiving-benefit-by-region/cn-social-security-fund-injury-no-of-beneficiary-shaanxi
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    Dataset updated
    Feb 15, 2024
    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, 2012 - Dec 1, 2023
    Area covered
    China
    Description

    Social Security Fund: Injury: Number of Beneficiary: Shaanxi data was reported at 45.999 Person th in 2023. This records an increase from the previous number of 38.059 Person th for 2022. Social Security Fund: Injury: Number of Beneficiary: Shaanxi data is updated yearly, averaging 29.100 Person th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 45.999 Person th in 2023 and a record low of 7.400 Person th in 2006. Social Security Fund: Injury: Number of Beneficiary: Shaanxi data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GT: Social Insurance: MOHRSS: Injury: No of People Receiving Benefit: By Region.

  19. DWP benefits statistics: May 2023

    • gov.uk
    Updated May 16, 2023
    + more versions
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    Department for Work and Pensions (2023). DWP benefits statistics: May 2023 [Dataset]. https://www.gov.uk/government/statistics/dwp-benefits-statistics-may-2023
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    Dataset updated
    May 16, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Work and Pensions
    Description

    This is a quarterly National Statistics release of the main DWP-administered benefits via Stat-Xplore or supplementary tables where appropriate.

    Scottish devolution: changes to the presentation of DWP statistics

    The https://www.gov.scot/publications/responsibility-for-benefits-overview/">devolution of social security benefits to the Scottish Government is now having an impact DWP statistics.

    On Stat-Xplore, we added a split to Disability Living Allowance (DLA) geography fields to provide breakdowns based on policy ownership. Users of these statistics should make data selections based on these policy ownership lines.

    Statistics showing the number of applications and awards to the new Child Disability Payment have been released by the Scottish government. Similar statistics for Adult Disability Payment covering its initial roll out phase are also available.

    Please refer to our background information note for more information on presentational changes we have made to our statistics in response to Scottish devolution.

    Housing Benefit: Gloucester City Council

    As a result of a criminal cyber-attack, Gloucester City Council is unable to supply DWP with Housing Benefit (HB) data until further notice. This has affected Housing Benefit statistics from December 2021. Data problems are unlikely to be fixed for the foreseeable future. Until then, HB statistics that cover Gloucester will be derived from earlier data using the same approach we previously adopted for Hackney Borough Council.

    Please refer to the background information note for more information on how we have managed these interruptions and the impacts to our statistics.

    State Pension

    During 2019, a new DWP computer system called “Get Your State Pension” (GYSP) came online to handle State Pension claims. The GYSP system is now handling a sizeable proportion of new claims.

    We are not yet able to include GYSP system data in our published statistics for State Pension. The number of GYSP cases are too high to allow us to continue to publish State Pension data on Stat-Xplore. In the short term, we will provide GYSP estimates based on payment systems data. As a temporary measure, State Pension statistics will be published via data tables only. The latest release contains State Pensions estimates for the quarters to November 2022.

    A biannual release of supplementary tables to show State Pension deferment increments and proportions of beneficiaries receiving a full amount has been suspended. This release is normally based on a 5% sample of the legacy computer system. Given the absence of GYSP data, the figures are affected by the same issues as described above. The latest available time period for these figures remains September 2020.

    We are developing new statistical datasets to properly represent both computer systems. Once we have quality assured the new data it will be published on Stat-Xplore, including a refresh of historical data using the best data available.

    For more information, see the background information note.

    More information

    A statistical summary document is published every six months in February and August each year. It contains a high-level summary of the latest National Statistics on DWP benefits. <a href="https://www.gov.uk/government/statistics/dwp-benefits-statistics-february-2023/benefit-combinations-to-august-2022-experimental-statist

  20. C

    China CN: Social Security Fund: Injury: No of Beneficiary: Tibet

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Social Security Fund: Injury: No of Beneficiary: Tibet [Dataset]. https://www.ceicdata.com/en/china/social-insurance-mohrss-injury-no-of-people-receiving-benefit-by-region/cn-social-security-fund-injury-no-of-beneficiary-tibet
    Explore at:
    Dataset updated
    Feb 15, 2025
    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, 2012 - Dec 1, 2023
    Area covered
    China
    Description

    Social Security Fund: Injury: Number of Beneficiary: Tibet data was reported at 1.519 Person th in 2023. This records an increase from the previous number of 1.065 Person th for 2022. Social Security Fund: Injury: Number of Beneficiary: Tibet data is updated yearly, averaging 0.800 Person th from Dec 2008 (Median) to 2023, with 13 observations. The data reached an all-time high of 1.519 Person th in 2023 and a record low of 0.000 Person th in 2008. Social Security Fund: Injury: Number of Beneficiary: Tibet data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GT: Social Insurance: MOHRSS: Injury: No of People Receiving Benefit: By Region.

Share
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Email
Click to copy link
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Close
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Social Security Administration (2025). Annual Statistical Report on the Social Security Disability Insurance Program - 2022 [Dataset]. https://catalog.data.gov/dataset/annual-statistical-report-on-the-social-security-disability-insurance-program-2022
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Annual Statistical Report on the Social Security Disability Insurance Program - 2022

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15 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 22, 2025
Dataset provided by
Social Security Administrationhttp://ssa.gov/
Description

This annual report provides program and demographic information on the people who receive Social Security Disability Insurance Program benefits. This edition presents a series of detailed tables on the three categories of beneficiaries: disabled workers, disabled widowers, and disabled adult children. Numbers presented in these tables may differ slightly from other published statistics because all tables, except those using data from the Survey of Income and Program Participation, are based on 100 percent data files. Report for 2022.

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