This dataset provides data at the national level from federal fiscal year 2006 onwards for the accuracy of the assignment of Social Security numbers (SSN) based on an end-of line sample review of transactions that result in the release of SSN cards.

The data (name, year of birth, sex, and number) are from a 100 percent sample of Social Security card applications for 1998 on.

Provides an aggregate of data for the Office of the Actuary and the Office of Research, Evaluation and Statistics.

Analysis of ‘Social Security Administration Data for Enumeration Accuracy’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e568c9ad-f5c4-4627-81fd-37229a259af2 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset provides data at the national level from federal fiscal year 2006 onwards for the accuracy of the assignment of Social Security numbers (SSN) based on an end-of line sample review of transactions that result in the release of SSN cards.

--- Original source retains full ownership of the source dataset ---

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

Comprehensive dataset of 2,084 Social security offices in Russia 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.

This dataset provides information on 764 in Poland as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

description: 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.; abstract: 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.

Social Security Administration released Earnings Public-Use File (EPUF) for 2006. File contains earnings information for individuals drawn from a systematic random 1-percent sample of all Social Security numbers (SSNs) issued before January 2007. EPUF consists of two linkable subfiles. One contains selected demographic and aggregate earnings information for all 4,348,254 individuals in the file, and the second contains annual earnings records for the 3,131,424 individuals who had positive earnings in at least 1 year from 1951 through 2006. Please Note: This data set is very large and will not work properly in Microsoft Excel. Data software capable of handling large files should be used.

This dataset provides information on 56 in Illinois, United States as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

This dataset provides information on 12 in West Papua, Indonesia as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

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/.

LDSF soil data for Lewa.

SSN: Sample Serial Number (in the lab)

SOC: Soil organic carbon

TN: Total nitrogen

ExBas: Sum of exchangeable bases (Ca+Mg+K+Na; cmolc kg-1)

ExCa: Exchangeable Ca (cmolc kg-1)

ExMg: Exchangeable Mg (cmolc kg-1)

ExK: Exchangeable K (cmolc kg-1)

ExNa: Exchangeable Na (cmolc kg-1)

Sand content (%)

Clay content (%)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns..Explanation of Symbols:.An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..There were changes in the edit between 2009 and 2010 regarding Supplemental Security Income (SSI) and Social Security. The changes in the edit loosened restrictions on disability requirements for receipt of SSI resulting in an increase in the total number of SSI recipients in the American Community Survey. The changes also loosened restrictions on possible reported monthly amounts in Social Security income resulting in higher Social Security aggregate amounts. These results more closely match administrative counts compiled by the Social Security Administration..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2010 American Community Survey

This dataset provides information on 102 in Sweden as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

Abstract (en): 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. The 1982 NBS was a nationally representative, cross-sectional household survey using samples randomly selected from the Social Security Administration's Master Beneficiary Record (MBR). The 1991 NBF reinterviewed the original sample persons in the NBS or surviving spouses of deceased original sample persons. 2006-01-18 File MN6457.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-01-12 All files were removed from dataset 4 and flagged as study-level files, so that they will accompany all downloads. (1) All data for the NBDS are matchable using the variable CASE, which is a unique number for each original sample respondent common across all data files: the NBS, the NBF for original sample respondents, the NBF for surviving spouses of original sample respondents, and the administrative data. Surviving spouses have the same case number as the original sample respondents. (2) Additional hardcopy documentation is available upon request from ICPSR.

Average Real Wages: Usual Earnings: QoQ: Employed: Public Administration, Defense, Social Security, Education, Human Health and Social Services data was reported at 3.200 % in Mar 2025. This records an increase from the previous number of 3.100 % for Feb 2025. Average Real Wages: Usual Earnings: QoQ: Employed: Public Administration, Defense, Social Security, Education, Human Health and Social Services data is updated monthly, averaging 0.300 % from Jun 2012 (Median) to Mar 2025, with 154 observations. The data reached an all-time high of 4.000 % in Jul 2020 and a record low of -7.100 % in Nov 2021. Average Real Wages: Usual Earnings: QoQ: Employed: Public Administration, Defense, Social Security, Education, Human Health and Social Services 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 Labour Market – Table BR.GBD003: Continuous National Household Sample Survey: Average Real Wages: Usual Earnings: by Activities.

These data are provided to allow users for reproducibility of an open source tool entitled 'automated Accumulation Threshold computation and RIparian Corridor delineation (ATRIC)'

Brazil Average Nominal Wages: Usual Earnings: MoM: Employed: Public Administration, Defense, Social Security, Education, Human Health and Social Services data was reported at -1.400 % in Apr 2019. This records a decrease from the previous number of 1.900 % for Mar 2019. Brazil Average Nominal Wages: Usual Earnings: MoM: Employed: Public Administration, Defense, Social Security, Education, Human Health and Social Services data is updated monthly, averaging 1.900 % from Jun 2012 (Median) to Apr 2019, with 83 observations. The data reached an all-time high of 5.500 % in Feb 2015 and a record low of -1.500 % in Jun 2017. Brazil Average Nominal Wages: Usual Earnings: MoM: Employed: Public Administration, Defense, Social Security, Education, Human Health and Social Services 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 Labour Market – Table BR.GBD006: Continuous National Household Sample Survey: Average Nominal Wages: Usual Earnings: by Activities.

This dataset provides information on 1,682 in Vietnam as of May, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.