Provides a list of all data assets maintained by the Social Security Administration. It consist of Public Data Listing in the Enterprise Data Inventory.

This dataset contains information about the number and percent of Social Security Administration employees according to categories based on year of birth called generations.

The Database of Labor Markets and Social Security Information System (SIMS) is the most important source of information about jobs and pensions in Latin America and the Caribbean. It encompasses harmonized statistics of 25 countries in the region, assuring the comparability of the indicators among them and also over time. The dataset includes data since 1990 and it presents 72 main indicators, which can be broken down by age group, gender, zone, level of education and other. The SIMS contains information in 6 broad categories: population, employment, unemployment, income, social security and poverty. This database seeks to contribute to public policies design based on evidence to strengthen the development of the region.

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.

The Children's Bureau, Division of State Systems (DSS) presented regarding how to electronically exchange data with the Social Security Administration (SSA). The webinar specifically covered what data exchanges are available to support child welfare including Beneficiary & Earnings Data Exchange (BENDEX), State Data Exchange (SDX), State On-line Query (SOLQ), and State Verification & Exchange System (SVES) as well as the process to set up a data exchange with SSA.

A link to the SSA webpage on data exchanges

is under the General Child Welfare and IT Resources on this website.

Metadata-only record linking to the original dataset. Open original dataset below.

Macau Govt Finance: Revenue: SC: Social Security Contributions (SS) data was reported at 383,106.000 MOP th in 2017. This records an increase from the previous number of 191,500.000 MOP th for 2016. Macau Govt Finance: Revenue: SC: Social Security Contributions (SS) data is updated yearly, averaging 168,342.195 MOP th from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 383,106.000 MOP th in 2017 and a record low of 95,750.234 MOP th in 2002. Macau Govt Finance: Revenue: SC: Social Security Contributions (SS) data remains active status in CEIC and is reported by Statistics and Census Service. The data is categorized under Global Database’s Macau SAR – Table MO.F002: Government Finance: Revenue and Expenditure (Annual).

Japan IB: GA: Exp: General: Social Security (SS) data was reported at 32,973.221 JPY bn in 2019. This records an increase from the previous number of 32,473.483 JPY bn for 2018. Japan IB: GA: Exp: General: Social Security (SS) data is updated yearly, averaging 21,782.434 JPY bn from Mar 1999 (Median) to 2019, with 21 observations. The data reached an all-time high of 32,973.221 JPY bn in 2019 and a record low of 16,007.685 JPY bn in 1999. Japan IB: GA: Exp: General: Social Security (SS) data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.F016: Government Budget: Initial: General Account: Expenditure: By Program.

India RA: Disbursements: SS: Social Security and Welfare data was reported at 78,046.800 INR mn in 2020. This records an increase from the previous number of 62,533.100 INR mn for 2019. India RA: Disbursements: SS: Social Security and Welfare data is updated yearly, averaging 28,701.500 INR mn from Mar 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 201,688.500 INR mn in 2011 and a record low of 7,508.900 INR mn in 2003. India RA: Disbursements: SS: Social Security and Welfare data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FA016: Consolidated Fund of India: Revenue Account: Disbursements.

Contains the count of new initial applications for the Social Security Administration’s SSDI and SSI disability benefit programs and the total number of initial applications that are still pending nationwide for each month.

This data set is a digital archive of images acquired by the Viking Orbiter 1 and 2 spacecraft. The archive will include the best available Experiment Data Record (EDR) versions of images acquired by the Viking Orbiter Visual Imaging Subsystems (VIS). The archive is stored on compact read-only optical disk media (CD-ROM) for distribution. The EDR image data are stored on CD-ROM in a compressed format that allows exact reconstruction of the original image. The images were compressed in order to reduce the number of CD-ROMs required for the archive. The average Viking Orbiter image is compressed by a factor of about 3.5. Each CD-ROM in the archive also includes documentation about the organization and contents of the disk. Software is included to provide programmers with tools to decompress image files. The CD-ROM has index files containing information about all the images stored in the archive. These index files can be loaded into a database management system to help the user locate images of interest.

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/.

.SS.IT Whois Database, discover comprehensive ownership details, registration dates, and more for .SS.IT TLD with Whois Data Center.

Abstract ======== This data set consists of the Juno FGM calibrated cruise observations. The FGM sensor block uses two miniature ring-core fluxgate sensors to measure the magnetic field in three components of the vector field. There are multiple FGM data products to accomodate different coordinate systems.

National Shelter System - Open Shelters This map layer displays Open Shelters in the United States from the Federal Emergency Management Agency's (FEMA) ESF6-SS database. Per FEMA, “The ESF6-SS database is synchronized every morning with the American Red Cross shelter database. After this daily refresh, FEMA GIS connects every 20 minutes to the FEMA ESF6-SS database looking for any shelter updates that occur throughout the day in the the FEMA ESF6-SS.” Canyon Del Oro High School Open Shelter Data currency: Current FEMA service (NSS/OpenShelters).Data modification: NoneFor more information: FEMA National Shelter System Fact SheetFor feedback please contact: ArcGIScomNationalMaps@esri.com Federal Emergency Management Agency Per FEMA, "We leverage a tremendous capacity to coordinate within the federal government to make sure America is equipped to prepare for and respond to disasters."

Social Security: Ceased Benefits: Average: Urban: General Regime Benefits: Social Security Contributory: Survivor Pension data was reported at 1,197.708 BRL in Apr 2019. This records an increase from the previous number of 1,172.541 BRL for Mar 2019. Social Security: Ceased Benefits: Average: Urban: General Regime Benefits: Social Security Contributory: Survivor Pension data is updated monthly, averaging 724.958 BRL from Jan 2008 (Median) to Apr 2019, with 136 observations. The data reached an all-time high of 1,958.669 BRL in Jul 2015 and a record low of 419.391 BRL in Feb 2008. Social Security: Ceased Benefits: Average: Urban: General Regime Benefits: Social Security Contributory: Survivor Pension data remains active status in CEIC and is reported by Ministry of Social Security. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBE020: Social Security: Ceased Benefits: Average.

Database list of unassigned numbers.

NARSTO_EPA_SS_PITTSBURGH_MET_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Meteorological Data product. It was obtained between July 1, 2001 and November 1, 2002 during the Pittsburgh Supersite Program. Ambient monitoring at the central super site and a set of satellite sites in the Pittsburgh region included numerous meteorological measurements. Meteorological parameters measured during the sampling period included temperature, relative humidity, precipitation, wind speed and direction, UV intensity, and solar intensity. The Pittsburgh Super Site Program was a comprehensive, multi-disciplinary investigation to characterize the ambient Particulate Matter (PM) in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The central super site was located next to the Carnegie Mellon University campus near downtown Pittsburgh. Five additional sites served as Satellite sites. The measurement campaign lasted for 18 months (May 2001-October 2002). The specific objectives were to: Characterize the PM with regard to size, surface, and volume distribution; chemical composition as a function of size and on a single particle basis; temporal and spatial variability. Develop and evaluate the current and next generation atmospheric aerosol monitoring techniques including single particle measurements, continuous measurements, ultra-fine aerosol measurements, improved organic component characterization, and others. Quantify the impact of the various sources of PM concentrations in the area including transportation, power plants, natural, etc. Combine the ambient monitoring study with the proposed indoor, health, and modeling studies to elucidate of the links between PM characteristics and their health impacts in this area. The EPA PM Super sites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods. NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.

The Juno Waves calibrated full resolution survey data set includes all low rate science electric spectral densities from 50Hz to 41MHz and magnetic spectral densities from 50Hz to 20kHz with complete sweeps at 30, 10 and 1 second intervals depending on the instrument mode. This is a complete full resolution data set containing all low rate science data received from Waves from launch until the end of mission including initial checkout, the Earth flyby, the Jupiter orbits and all cruise data. Data are acquired from the Waves Low Frequency Receiver (LFR) and High Frequency Receiver (HFR) and are processed into spectra on board. These data are presented as ASCII text spreadsheets for ease of use. This data set is intended to be the most comprehensive and complete data set included in the Juno Waves archive. Pre-rendered spectrograms generated from these data are included as well to lead the user to the particular data file(s) of interest. This data set should be among the first used of any in the Waves archive as it will lead one to the information required to locate more detailed products.

Dataset

This dataset was created by Jenina Angelin

Released under MIT

Contents

11 Global import shipment records of Ss Adaptor with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.