The data (name, year of birth, sex, and number) are from a 100 percent sample of Social Security card applications for 1880 on.

The data (name, year of birth, sex, state, and number) are from a 100 percent sample of Social Security card applications starting with 1910. National data is in another dataset.

Graph and download economic data for Expenditures: Pensions and Social Security by Number of Earners: Consumer Units of Two or More People, Three or More Earners (CXUPENSIONSLB0707M) from 1984 to 2023 about social, pension, social assistance, expenditures, persons, consumer, and USA.

Description:This data deposit contains the Numerical Identification Death Files (National Archives Identifier 23845618), the NUMIDENT SS-5 Application Files (National Archives Identifier 23845613), the NUMIDENT Claims Files (National Archives Identifier 23852747), and the associated technical documentation. Data Acquisition:These files were e-delivered to Anthony Wray via secure link by the Electronic Records Division of the National Archives and Records Administration (NARA) on 17 October 2019, as per a digitized reproduction order (Quote QO1-525370500 and Quote QO1-528389077). The packing slip is included in the data deposit (docs/Packing Slip.PDF).Rights to Publish:The data are in the public domain, as confirmed by emails received from NARA on 28 December 2023 and 3 January 2024 (see docs/permission_to_publish_email.pdf).How to Cite: Please adhere to the citation and data usage guidelines when using this dataset. See the included LICENSE.txt and README.md files for details. Details:The Numerical Identification Files (NUMIDENT), 1936–2007, series contains records for every Social Security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007. There are three types of entries in NUMIDENT: application (SS-5), claim, and death records. A NUMIDENT record may contain more than one entry. Information contained in NUMIDENT records includes: each applicant's full name, SSN, date of birth, place of birth, citizenship, sex, father's name, mother's maiden name, and race/ethnic description (optional). NUMIDENT includes information regarding any subsequent changes made to the applicant's record, including name changes and life or death claims. The death records in NUMIDENT do not include any State reported deaths in accordance with the Social Security Act section 205(r). There are 72,182,729 SS-5 records entries; 25,230,486 claim record entries; and 49,459,293 death record entries.See https://catalog.archives.gov/id/12004494 for more information.Related Data:Visit the CenSoc Project for public micro datasets linked to NUMIDENT: https://censoc.berkeley.edu/.

Comprehensive dataset of 56 Social security offices in Illinois, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 33 Social security offices in Tennessee, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

analyze the social security administration public use microdata files (ssapumf) with r the social security administration (ssa) must be overflowing with quiet heroes, because their public-use microdata files are as inconspicuous as they are thorough. sure, ssa publishes enough great statistical research of their own that outside researchers rarely find ourselves wanting more and fin er data that this agency can provide, but does that stop them from releasing detailed microdata as well? why no. no it does not. if you wake up one morning with a hankerin' to study the person-level lifetime cash-flows of fdr's legacy, roll up your sleeves and start right here. compared to the other data sets on asdfree.com, the social security administr ation public use microdata files (ssapumf) are as straightforward as it gets. you won't find complex sample survey data here, so just review the short-and-to-the-point data descriptions then calculate your statistics the way you would with other non-survey data. each of these files contain either one record per person or one record per person per year, and effortlessly generalize to the entire population of either social security number holders (most of the country) or social security recipients (just beneficiaries). the one-percent samples should be multiplied by 100 to get accurate nationwide count statistics an d the five-percent samples by 20, but ykta (my new urban dictionary entry). this new github repository contains one script: download all microdata.R download each zipped file directly onto your local computer load each file into a data.frame using a mixture of both fancery and schmantzery reproduce the overall count statistics provided in each respective data dictionary save each file as an R data file (.rda) for ultra-fast future use click here to view this lonely script for more detail about the social security administration public use microdata files (ssapumf), visit: < ul> the social security administration home page the social security administration open data initiative the national archives' history of social security notes: i skipped importing these n ew beneficiary data system (nbds) files because i broadly distrust data older than i am and you probably want these easy-to-use, far more current files anyway. confidential to sas, spss, stata, and sudaan users: no doubt they were very impressive when they originally became available. but so was the bone flute. time to transition to r. :D

Graph and download economic data for Expenditures: Pensions and Social Security by Number of Earners: Consumer Units of Two or More People, No Earners (CXUPENSIONSLB0704M) from 1984 to 2021 about social, pension, social assistance, expenditures, persons, consumer, and USA.

Comprehensive dataset containing 4,774 verified Social security attorney businesses in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset of 65 Social security offices in Pennsylvania, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Download new, active & historic .ss domains — updated multiple times daily

Comprehensive dataset of 9 Social security offices in Utah, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Graph and download economic data for Income Before Taxes: Social Security, Private & Government Retirement by Number of Earners: Consumer Units of Two or More People, No Earners (CXURETIRINCLB0704M) from 1984 to 2023 about social, retirement, social assistance, tax, persons, consumer, government, income, private, and USA.

Comprehensive dataset of 1 Social security financial departments in Idaho, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The OASDI Beneficiaries by State API is a web service that provides yearly data, by state, for the Social Security beneficiary population - people receiving Old-Age, Survivors, and Disability Insurance (OASDI) benefits. API users can download the entire data asset, or query (call), the asset for selected return of data. Choices include basic program data on the number and type of beneficiaries in each state, as well as the numbers of men and women aged 65 or older receiving benefits. Social Security has this dataset with a map publicly available. We listed it in our digital strategy page as another avenue for users to find this API.

Comprehensive dataset of 1 Social security financial departments in Maryland, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Contains information on EINs provided by the IRS.

Comprehensive dataset of 18 Social security offices in Connecticut, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Graph and download economic data for Income Before Taxes: Social Security, Private & Government Retirement by Number of Earners: Consumer Units of Two or More People, Three or More Earners (CXURETIRINCLB0707M) from 1984 to 2023 about social, retirement, social assistance, tax, persons, government, consumer, income, private, and USA.

Comprehensive dataset of 23 Social security offices in Louisiana, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.