99 datasets found
  1. Internal Employee Payroll Match (IEPM)

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jan 24, 2025
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    Social Security Administration (2025). Internal Employee Payroll Match (IEPM) [Dataset]. https://catalog.data.gov/dataset/internal-employee-payroll-match-iepm
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    The Internal Employee Payroll Match (IEPM) verifies the continuing eligibility and benefit amounts of Disability Income Beneficiaries and Supplemental Security Income recipients for SSA employees. The IEPM process compares the current Social Security employee records of the Personnel Payroll file with the Master Beneficiary Record (MBR) and the Supplemental Security Record (SSR). IEPM data is provided in Excel spreadsheets to DCO-Office of Public Service and Operations Support for dissemination to the necessary Field Offices for review and development.

  2. Retirement History Longitudinal Survey, 1969-1973, and Summary of Social...

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Nov 4, 2005
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    Social Security Administration (2005). Retirement History Longitudinal Survey, 1969-1973, and Summary of Social Security Earnings: Merged Data [Dataset]. http://doi.org/10.3886/ICPSR07739.v1
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    sas, stata, spss, asciiAvailable download formats
    Dataset updated
    Nov 4, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Social Security Administration
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7739/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7739/terms

    Time period covered
    1969 - 1973
    Area covered
    United States
    Description

    This data collection includes selected variables from the first three waves of the RETIREMENT HISTORY LONGITUDINAL SURVEY, conducted in 1969, 1971, and 1973 (ICPSR 7683, 7684, and 7685) as well as the Retirement History Longitudinal Survey Summary of Social Security Earnings, compiled from Social Security records. The Summary Earnings variables document reported earnings, wages and salary, self-employment earnings, and agricultural employment for the original respondent as well as first and second spouses. The earnings information is pertinent for the years 1951-1974. The variables selected from the first three waves of the Retirement History Longitudinal Survey include employment information concerning current and past employment, number of hours worked, number of hours off work, how the job was found, gross pay and time unit of pay, pension plans from current job and past jobs, types of pensions, and types of benefits. The subset also includes items pertaining to work history of the respondent, retirement plans, and, if retired, plans to work in the future. Demographic information collected about respondents, their spouses, and other members of the household includes race, sex, age, date of birth, marital status, education, occupation, income, benefits amount, number of children and children attending school, and household composition and relationship.

  3. Federal Personnel and Payroll System (FPPS)

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Mar 8, 2025
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    Social Security Administration (2025). Federal Personnel and Payroll System (FPPS) [Dataset]. https://catalog.data.gov/dataset/federal-personnel-and-payroll-system-fpps
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    Dataset updated
    Mar 8, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    FPPS is the Federal Personnel and Payroll System. It's used in SSA to process all personnel and pay related actions. It was developed by the Department of the Interior for use by Federal agencies.

  4. B

    Brazil Salaries & Other Remuneration: 10 to 19 Persons: Public...

    • ceicdata.com
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    CEICdata.com, Brazil Salaries & Other Remuneration: 10 to 19 Persons: Public Administration, Defense & Social Security (PS) [Dataset]. https://www.ceicdata.com/en/brazil/enterprise-industry-salaries-and-other-remuneration-by-industry-10-to-19-persons/salaries--other-remuneration-10-to-19-persons-public-administration-defense--social-security-ps
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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, 2006 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Wage/Earnings
    Description

    Brazil Salaries & Other Remuneration: 10 to 19 Persons: Public Administration, Defense & Social Security (PS) data was reported at 662,019.000 BRL th in 2017. This records a decrease from the previous number of 842,895.000 BRL th for 2016. Brazil Salaries & Other Remuneration: 10 to 19 Persons: Public Administration, Defense & Social Security (PS) data is updated yearly, averaging 397,010.000 BRL th from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 842,895.000 BRL th in 2016 and a record low of 242,512.000 BRL th in 2006. Brazil Salaries & Other Remuneration: 10 to 19 Persons: Public Administration, Defense & Social Security (PS) data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SH037: Enterprise Industry: Salaries and Other Remuneration: by Industry: 10 to 19 Persons.

  5. Disability Insurance Applications Filed via the Internet Data Collection

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Mar 8, 2025
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    Social Security Administration (2025). Disability Insurance Applications Filed via the Internet Data Collection [Dataset]. https://catalog.data.gov/dataset/disability-insurance-applications-filed-via-the-internet-data-collection
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    Dataset updated
    Mar 8, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    Each dataset provides monthly data at the national level for initial Social Security Disability Insurance (SSDI) applications filed via the Internet. The dataset includes only SSDI initial receipts. SSDI initial receipt represent a worker in covered employment long enough and recently enough to be "insured", earning paid Social Security taxes. Social Security work credits are based on total yearly wages or self-employment income. The amount needed for a credit change from year to year. The number of work credits needed to qualify for disability benefits depends on age at disability onset. Generally, 40 credits are needed, 20 of which were earned in the last 10 years ending with the year of disability onset.

  6. US Wages via Zipcode

    • kaggle.com
    Updated Apr 15, 2018
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    Pavan Sanagapati (2018). US Wages via Zipcode [Dataset]. https://www.kaggle.com/pavansanagapati/us-wages-via-zipcode/notebooks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 15, 2018
    Dataset provided by
    Kaggle
    Authors
    Pavan Sanagapati
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description
    • Context I am greatly inspired with this dataset containing geo spatial details for each zip code and contains the total wages for each area.This gave me opportunity to create a data visualisation in Tableau using HexBin chart which is added as a Kernel to this dataset.

    • Content

      • About the data: 81,831 rows of data. All 41,891 active zipcodes + 634 decommisioned zipcodes from the recent past. All 80673 active Primary(41885), Acceptable(13988), and Not Acceptable(24800) placenames. Some additonal placenames for decommisioned codes. 29,971 Standard, 9465 PO BOX, 2437 Unique, and 649 Military codes.
    • 50 States + 361 AA Military

    • Americas 38 AE Military

    • Europe 164 AP Military

    • Pacific 1 AS American Samoa 290 DC Washinton DC 4 FM Federated States Micronesia 13 GU Guam 2 MH Marshall Islands 3 MP Northern Mariana Islands 176 PR Puerto Rico 2 PW Palau 16 VI Virgin Islands

    • Name Type Description

    • Zipcode Text 5 digit Zipcode or military postal code(FPO/APO)

    • ZipCodeType Text Standard, PO BOX Only, Unique, Military(implies APO or FPO)

    • City Text USPS offical city name(s)

    • State Text USPS offical state, territory, or quasi-state (AA, AE, AP) abbreviation code

    • LocationType Text Primary, Acceptable,Not Acceptable

    • Lat Double Decimal Latitude, if available

    • Long Double Decimal Longitude, if available

    • Location Text Standard Display (eg Phoenix, AZ ; Pago Pago, AS ; Melbourne, AU )

    • Decommissioned Text If Primary location, Yes implies historical Zipcode, No Implies current Zipcode; If not Primary, Yes implies Historical Placename

    • TaxReturnsFiled Long Integer Number of Individual Tax Returns Filed in 2008

    • EstimatedPopulation Long Integer Tax returns filed + Married filing jointly + Dependents

    • TotalWages Long Integer Total of Wages Salaries and Tips

    • : USPS Military place names (base or ship name)

    • : MPSA 2008 Election Ballot information Tax returns filed, estimated population, total wages: IRS 2008 Latitude and Longitude; National Weather Service supplemented by Google Earth and Maps and occasionally other sources Decommissioned zip codes, Our old database--usually quality sources, but not verifiable.

    • Acknowledgements

      Other Sources of zipcode information:

    • Placenames (Cities, towns, geographic features) can be found at US Geological Survey GNIS Dataset The IRS has additional data fields for 2008 and is reviewing their publication procedures for later years.

      see http://www.irs.gov/taxstats/indtaxstats/article/0,,id=96947,00.html

    • The Census publishes data, but they use Zipcode Tabulation Areas (ZCTAs) which

    • 1) have changed areas between the 2000 census and the 2010 census

    • 2) do not map well to USPS zipcodes well. If needed http://www.census.gov/geo/ZCTA/zcta.html Social Security recipients by zipcode http://www.ssa.gov/policy/docs/statcomps/oasdi_zip/ For economic researchers and those who want tons of background on data sources by zipcode, University of Missouri OSEDA project

      • Free Zipcode Database (8.7 MB) Updated 1/22/2012 All Locations (Multiple locations for some zipcodes)

      Inspiration I am hoping that people in the right government agencies/authorities would be able to utilize this data to focus on

      community developments where it needs immediate attention.

  7. n

    Data from: German Socio-Economic Panel

    • neuinfo.org
    • scicrunch.org
    • +2more
    Updated Jul 31, 2024
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    (2024). German Socio-Economic Panel [Dataset]. http://identifiers.org/RRID:SCR_013140
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    Dataset updated
    Jul 31, 2024
    Description

    A wide-ranging representative longitudinal study of private households that permits researchers to track yearly changes in the health and economic well-being of older people relative to younger people in Germany from 1984 to the present. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators. In addition to standard demographic information, the GSOEP questionnaire also contains objective measuresuse of time, use of earnings, income, benefit payments, health, etc. and subjective measures - level of satisfaction with various aspects of life, hopes and fears, political involvement, etc. of the German population. The first wave, collected in 1984 in the western states of Germany, contains 5,921 households in two randomly sampled sub-groups: 1) German Sub-Sample: people in private households where the head of household was not of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality; 2) Foreign Sub-Sample: people in private households where the head of household was of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality. In each year since 1984, the GSOEP has attempted to re-interview original sample members unless they leave the country. A major expansion of the GSOEP was necessitated by German reunification. In June 1990, the GSOEP fielded a first wave of the eastern states of Germany. This sub-sample includes individuals in private households where the head of household was a citizen of the German Democratic Republic. The first wave contains 2,179 households. In 1994 and 1995, the GSOEP added a sample of immigrants to the western states of Germany from 522 households who arrived after 1984, which in 2006 included 360 households and 684 respondents. In 1998 a new refreshment sample of 1,067 households was selected from the population of private households. In 2000 a sample was drawn using essentially similar selection rules as the original German sub-sample and the 1998 refreshment sample with some modifications. The 2000 sample includes 6,052 households covering 10,890 individuals. Finally, in 2002, an overrepresentation of high-income households was added with 2,671 respondents from 1,224 households, of which 1,801 individuals (689 households) were still included in the year 2006. Data Availability: The data are available to researchers in Germany and abroad in SPSS, SAS, TDA, STATA, and ASCII format for immediate use. Extensive documentation in English and German is available online. The SOEP data are available in German and English, alone or in combination with data from other international panel surveys (e.g., the Cross-National Equivalent Files which contain panel data from Canada, Germany, and the United States). The public use file of the SOEP with anonymous microdata is provided free of charge (plus shipping costs) to universities and research centers. The individual SOEP datasets cannot be downloaded from the DIW Web site due to data protection regulations. Use of the data is subject to special regulations, and data privacy laws necessitate the signing of a data transfer contract with the DIW. The English Language Public Use Version of the GSOEP is distributed and administered by the Department of Policy Analysis and Management, Cornell University. The data are available on CD-ROM from Cornell for a fee. Full instructions for accessing GSOEP data may be accessed on the project website, http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * Dates of Study: 1984-present * Study Features: Longitudinal, International * Sample Size: ** 1984: 12,290 (GSOEP West) ** 1990: 4,453 (GSOEP East) ** 2000: 20,000+ Links: * Cornell Project Website: http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * GSOEP ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00131

  8. I

    Israel Total Wages: sa: Local, Public and Defense Administration and Social...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Israel Total Wages: sa: Local, Public and Defense Administration and Social Security [Dataset]. https://www.ceicdata.com/en/israel/total-wages/total-wages-sa-local-public-and-defense-administration-and-social-security
    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
    Mar 1, 2017 - Feb 1, 2018
    Area covered
    Israel
    Variables measured
    Wage/Earnings
    Description

    Israel Total Wages: sa: Local, Public and Defense Administration and Social Security data was reported at 2,152.198 ILS mn in Apr 2018. This records a decrease from the previous number of 2,237.941 ILS mn for Mar 2018. Israel Total Wages: sa: Local, Public and Defense Administration and Social Security data is updated monthly, averaging 1,883.100 ILS mn from Jan 2012 (Median) to Apr 2018, with 76 observations. The data reached an all-time high of 2,237.941 ILS mn in Mar 2018 and a record low of 1,618.400 ILS mn in Feb 2012. Israel Total Wages: sa: Local, Public and Defense Administration and Social Security data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G033: Total Wages.

  9. U.S. personal income 1991-2023

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). U.S. personal income 1991-2023 [Dataset]. https://www.statista.com/statistics/216756/us-personal-income/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the total personal income in the United States from 1990 to 2023. The data are in current U.S. dollars not adjusted for inflation or deflation. According to the BEA, personal income is the income that is received by persons from all sources. It is calculated as the sum of wage and salary disbursements, supplements to wages and salaries, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and personal current transfer receipts, less contributions for government social insurance. Personal income increased to about 23 trillion U.S. dollars in 2023.Personal income Personal income in the United States has risen steadily over the last decades from 5.07 trillion U.S. dollars in 1991 to 23 trillion U.S. dollars in 2023. Personal income includes all earnings including wages, investments, and other sources. Personal income also varied widely across the U.S., where those living in the District of Columbia, on the higher scale, earned an average of 96,873 U.S. dollars per capita and on the lower end of the spectrum, people in Mississippi earned 45,438 U.S. dollars per capita. In the District of Columbia, disposable income averaged some 81,193 U.S. dollars. In total, California earned the most personal income followed by Texas, receiving three trillion U.S. dollars and 1.76 trillion U.S. dollars, respectively. Income tends to vary widely between demographics in the United States. Those with higher education levels tend to earn more money. However, only 25.7 percent of persons with a disability that had a Bachelor's degree or higher were employed in 2020. The Social Security and Supplemental Security Income disability programs provide monetary benefits to the disabled and certain family members.

  10. f

    Data from: Profile of the National Institute of Social Security...

    • scielo.figshare.com
    jpeg
    Updated May 31, 2023
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    Érica Cristina Zabtoski Gass; Geórgia Muccillo Dexheimer; Gabriela Kniphoff Da Silva Lawisch (2023). Profile of the National Institute of Social Security beneficiaries retired due to disability in Rio Grande do Sul from 2010 to 2015 [Dataset]. http://doi.org/10.6084/m9.figshare.7519121.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Érica Cristina Zabtoski Gass; Geórgia Muccillo Dexheimer; Gabriela Kniphoff Da Silva Lawisch
    License

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

    Area covered
    State of Rio Grande do Sul
    Description

    Abstract Introduction The present study investigated the epidemiological profile of disability retirees in Rio Grande do Sul from 2010 to 2015. Method A descriptive and quantitative research was carried out using the cross-sectional survey method based on secondary data obtained by Sistema Único de Benefícios (SUIBE). The variables used for this study were age, sex, contribution period before retirement, salary range of the retiree after the disability, and International Classification of Diseases (ICD-10). Results Of the total of 94,670 disability retirees, 55.6% were male, 64.4% were between 40 and 59 years old, 44.3% had an average income of 1 minimum wage and 25.3% of concessions were associated to musculoskeletal system and connective tissue diseases. Conclusion From the pathologies identified in the study, it is possible to direct the development of actions to emphasize the importance of prevention, early diagnosis and correct treatment, in order to avoid pathologies and/or their aggravation, as well as the withdrawal from the labor market.

  11. B

    Brazil Salaries & Other Remuneration: 5 to 9 Persons: PS: Public...

    • ceicdata.com
    Updated Aug 11, 2021
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    CEICdata.com (2021). Brazil Salaries & Other Remuneration: 5 to 9 Persons: PS: Public Administration, Defence & Social Security [Dataset]. https://www.ceicdata.com/en/brazil/enterprise-industry-salaries-and-other-remuneration-by-industry-5-to-9-persons/salaries--other-remuneration-5-to-9-persons-ps-public-administration-defence--social-security
    Explore at:
    Dataset updated
    Aug 11, 2021
    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, 2006 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Wage/Earnings
    Description

    Brazil Salaries & Other Remuneration: 5 to 9 Persons: PS: Public Administration, Defence & Social Security data was reported at 513,941.000 BRL th in 2017. This records a decrease from the previous number of 571,049.000 BRL th for 2016. Brazil Salaries & Other Remuneration: 5 to 9 Persons: PS: Public Administration, Defence & Social Security data is updated yearly, averaging 297,676.000 BRL th from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 571,049.000 BRL th in 2016 and a record low of 126,044.000 BRL th in 2006. Brazil Salaries & Other Remuneration: 5 to 9 Persons: PS: Public Administration, Defence & Social Security data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SH036: Enterprise Industry: Salaries and Other Remuneration: by Industry: 5 to 9 Persons.

  12. Forecast: Wages and Salaries in Public Administration and Defence,...

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Wages and Salaries in Public Administration and Defence, Compulsory Social Security in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/15ebb57bf1e0826710b9b3e43a6e6f215308da07
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    Dataset updated
    Apr 7, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Area covered
    United States
    Description

    Forecast: Wages and Salaries in Public Administration and Defence, Compulsory Social Security in the US 2022 - 2026 Discover more data with ReportLinker!

  13. T

    United States - Compensation of employees: Supplements to wages and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 25, 2020
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    TRADING ECONOMICS (2020). United States - Compensation of employees: Supplements to wages and salaries: Employer contributions for government social insurance [Dataset]. https://tradingeconomics.com/united-states/compensation-of-employees-supplements-to-wages-and-salaries-employer-contributions-for-government-social-insurance-bil-of-dollar-nsa-fed-data.html
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Feb 25, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Compensation of employees: Supplements to wages and salaries: Employer contributions for government social insurance was 856.60600 Bil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Compensation of employees: Supplements to wages and salaries: Employer contributions for government social insurance reached a record high of 856.60600 in January of 2024 and a record low of 0.00400 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Compensation of employees: Supplements to wages and salaries: Employer contributions for government social insurance - last updated from the United States Federal Reserve on September of 2025.

  14. d

    Quarterly Personal Income for State of Iowa

    • catalog.data.gov
    • mydata.iowa.gov
    • +2more
    Updated Nov 15, 2024
    + more versions
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    data.iowa.gov (2024). Quarterly Personal Income for State of Iowa [Dataset]. https://catalog.data.gov/dataset/quarterly-personal-income-for-state-of-iowa
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    Dataset updated
    Nov 15, 2024
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This dataset provides quarterly personal income estimates for State of Iowa produced by the U.S. Bureau of Economic Analysis . Data includes the following estimates: personal income, per capita personal income, proprietors' income, farm proprietors' income, compensation of employees and private nonfarm earnings, compensation, and wages and salaries for wholesale trade. Personal income, proprietors' income, and farm proprietors' income available beginning 1997; per capita personal income available beginning 2010; and all other data beginning 1998. Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income for Iowa is the income received by, or on behalf of all persons residing in Iowa, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s midquarter population estimates. Proprietors' income is the current-production income (including income in kind) of sole proprietorships, partnerships, and tax-exempt cooperatives. Corporate directors' fees are included in proprietors' income. Proprietors' income includes the interest income received by financial partnerships and the net rental real estate income of those partnerships primarily engaged in the real estate business. Farm proprietors’ income as measured for personal income reflects returns from current production; it does not measure current cash flows. Sales out of inventories are included in current gross farm income, but they are excluded from net farm income because they represent income from a previous year’s production. Compensation to employees is the total remuneration, both monetary and in kind, payable by employers to employees in return for their work during the period. It consists of wages and salaries and of supplements to wages and salaries. Compensation is presented on an accrual basis - that is, it reflects compensation liabilities incurred by the employer in a given period regardless of when the compensation is actually received by the employee. Private nonfarm earnings is the sum of wages and salaries, supplements to wages and salaries, and nonfarm proprietors' income, excluding farm and government. Private nonfarm wages and salaries is wages and salaries excluding farm and government. Wages and salaries is the remuneration receivable by employees (including corporate officers) from employers for the provision of labor services. It includes commissions, tips, and bonuses; employee gains from exercising stock options; and pay-in-kind. Judicial fees paid to jurors and witnesses are classified as wages and salaries. Wages and salaries are measured before deductions, such as social security contributions, union dues, and voluntary employee contributions to defined contribution pension plans. More terms and definitions are available on https://apps.bea.gov/regional/definitions/.

  15. Replication data for: Social Security Reforms: Benefit Claiming, Labor Force...

    • search.datacite.org
    • openicpsr.org
    Updated 2012
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    Selahattin Imrohoroğlu; Sagiri Kitao (2012). Replication data for: Social Security Reforms: Benefit Claiming, Labor Force Participation, and Long-Run Sustainability [Dataset]. http://doi.org/10.3886/e114252
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    Dataset updated
    2012
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    DataCitehttps://www.datacite.org/
    Authors
    Selahattin Imrohoroğlu; Sagiri Kitao
    Description

    This paper develops a general equilibrium life-cycle model with endogenous labor supply in both intensive and extensive margins, consumption, saving, and benefit claiming to measure the long-run effects of a proposed Social Security reform. Agents in the model face medical expenditure, wage, health, and survival shocks. Raising the normal retirement age by two years increases labor supply by 2.8 percent and the capital stock by 12.6 percent, showing that both margins of adjustment are critical. General equilibrium effects are important to account for the effects of reform on savings, although the effects on labor supply are less important. (JEL D91, E21, H55, I13, J22)

  16. g

    Wages and salaries, location of establishment/daily population, SEK million...

    • gimi9.com
    Updated Nov 18, 2023
    + more versions
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    (2023). Wages and salaries, location of establishment/daily population, SEK million | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_http-api-kolada-se-v2-kpi-n00125/
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    Dataset updated
    Nov 18, 2023
    License

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

    Description

    Working in the municipality. The total wage sum includes individuals with unknown control data that cannot be attributed to persons registered in Sweden. It can be, for example, incorrectly entered social security numbers or refer to people living abroad. Hence, the gender-disaggregated data do not always add up to the total. Since 2019, Statistics Sweden has used the monthly employer's declarations at individual level (AGI) as a data source instead of the annual control data (KU), which means that comparisons with previous years should be made with caution. Data are available according to gender breakdown.

  17. SSI Monthly Wage Verification

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Sep 19, 2025
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    Social Security Administration (2025). SSI Monthly Wage Verification [Dataset]. https://catalog.data.gov/dataset/ssi-monthly-wage-verification
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    Data used to assist in streamlining processing of monthly wage reports received from SSI recipients, representative payees and their deemors.

  18. b

    Employment Costs in 32 European Countries

    • boundlesshq.com
    Updated Jan 29, 2025
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    Boundless Technologies Limited (2025). Employment Costs in 32 European Countries [Dataset]. https://boundlesshq.com/employment-costs-in-32-european-countries/
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    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Boundless Technologies Limited
    License

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

    Time period covered
    2023
    Area covered
    Europe
    Description

    Boundless, the fully compliant Employer of Record platform, compiled and analysed the employment costs in 32 countries within Europe, including gross salary, social and health insurance contributions, income taxes, net pay and more.

    To collect this data, Boundless leveraged their internal salary calculators, a resource developed and used by the Boundless Payroll team in collaboration with local payroll partners in each country. This approach enabled Boundless to capture the true costs associated with employing staff in each of the 32 countries, taking into account all applicable regional nuances, and ensure that the findings reflect the latest legal and economic conditions.

  19. Tax rate on low wage earners - Unemployment trap

    • ec.europa.eu
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    Eurostat, Tax rate on low wage earners - Unemployment trap [Dataset]. http://doi.org/10.2908/EARN_NT_UNEMTRP
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    application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.data+xml;version=3.0.0, json, application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+csv;version=1.0.0, tsvAvailable download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2001 - 2024
    Area covered
    Czechia, Sweden, Bulgaria, Slovenia, France, Finland, United States, Euro area - 19 countries (2015-2022), Estonia, Türkiye
    Description

    Information on net earnings (net pay taken home, in absolute figures) and related tax-benefit rates (in %) complements gross earnings data with respect to disposable earnings. The transition from gross to net earnings requires the deduction of income taxes and employee's social security contributions from the gross amounts and the addition of family allowances, if appropriate.


    The amount of these components and therefore the ratio of net to gross earnings depend on the individual situation. A number of different family situations are considered, all referring to an average worker. Differences exist with respect to the number of workers/earners (only in the case of couples), number of dependent children, and level of gross earnings, expressed as a percentage of the gross earnings of an average worker (AW).


    All the data are based on a widely acknowledged model developed by the OECD, where figures are obtained from national sources (for further details on data providers, see the national contact list in Annex).


    The collection contains, for selected situations, data for the following variables and indicators :
    a) gross and net earnings, including the transition components "income taxes", "employee's social security contributions" and "family allowances", if appropriate;
    b) tax rate, defined as the income tax on gross wage earnings plus the employee's social security contributions less universal cash benefits, expressed as a percentage of gross wage earnings;
    c) tax wedge on labour costs, defined as income tax on gross wage earnings plus the employee's and the employer's social security contributions, expressed as a percentage of the total labour costs of the earner. The total labour costs of the earner are defined as his/her gross earnings plus the employer's social security contributions plus payroll taxes (where applicable). The tax wedge on labour costs structural indicator is available only for single persons without children earning 67% of the AW.
    d) unemployment trap, measuring the percentage of gross earnings which is taxed away through higher tax and social security contributions and the withdrawal of unemployment, and other, benefits when an unemployed person returns to employment. This structural indicator is available only for single persons without children earning 67% of the AW when in work.
    e) low wage trap, measuring the percentage of gross earnings which is taxed away through the combined effects of income taxes, social security contributions and any withdrawal of benefits when gross earnings increase from 33% to 67% of AW. This structural indicator is available for single persons without children and one-earner couples with two children.

  20. Forecast: Wages and Salaries in Public Administration and Defence,...

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Wages and Salaries in Public Administration and Defence, Compulsory Social Security in the UK 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/bc6232fe0a19ed49b7c0fee1888e9e0d8bb64422
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    Dataset updated
    Apr 7, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Area covered
    United Kingdom
    Description

    Forecast: Wages and Salaries in Public Administration and Defence, Compulsory Social Security in the UK 2024 - 2028 Discover more data with ReportLinker!

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Social Security Administration (2025). Internal Employee Payroll Match (IEPM) [Dataset]. https://catalog.data.gov/dataset/internal-employee-payroll-match-iepm
Organization logo

Internal Employee Payroll Match (IEPM)

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

The Internal Employee Payroll Match (IEPM) verifies the continuing eligibility and benefit amounts of Disability Income Beneficiaries and Supplemental Security Income recipients for SSA employees. The IEPM process compares the current Social Security employee records of the Personnel Payroll file with the Master Beneficiary Record (MBR) and the Supplemental Security Record (SSR). IEPM data is provided in Excel spreadsheets to DCO-Office of Public Service and Operations Support for dissemination to the necessary Field Offices for review and development.

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