A dataset that explores Green Card sponsorship trends, salary data, and employer insights for data processing in the U.S.

Graph and download economic data for Wage and salary accruals: Domestic private industries: Information: Information and data processing services (N4158C0A144NBEA) from 1998 to 2023 about accruals, information, processed, salaries, private industries, domestic, wages, services, private, industry, GDP, and USA.

Automatic Data Processing's CEO salary and other executives compensation in 2025 was as follows: Maria Black President and Chief Executive Officer at Automatic Data Processing, received a total compensation of $19.14 M in 2025, Don McGuire Corporate Officer and Former Chief Financial Officer at Automatic Data Processing, received a total compensation of $7.24 M in 2025, John C. Ayala Former Chief Operating Officer at Automatic Data Processing, received a total compensation of $6.74 M in 2025, Michael A. Bonarti Chief Administrative Officer at Automatic Data Processing, received a total compensation of $5.72 M in 2025, Joseph DeSilva EVP, North America and Chief of Operations at Automatic Data Processing, received a total compensation of $5.31 M in 2025, Sreeni Kutam at Automatic Data Processing, received a total compensation of $5.02 M in 2025.

United States - Compensation of employees: Domestic private industries: Information: Information and data processing services was 203282.00000 Mil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Compensation of employees: Domestic private industries: Information: Information and data processing services reached a record high of 203282.00000 in January of 2023 and a record low of 25067.00000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Compensation of employees: Domestic private industries: Information: Information and data processing services - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Lease and Rental Payments for Data Processing, Hosting, and Related Services, All Establishments, Employer Firms (DISCONTINUED) (EXPLRPEF518ALLEST) from 2005 to 2012 about payments, employer firms, information, accounting, processed, leases, establishments, rent, services, and USA.

View monthly updates and historical trends for US Information, Data Processing, Hosting and Related Services Production and Nonsupervisory Employees. from…

United States - Employed full time: Wage and salary workers: Food processing workers, all other occupations: 16 years and over: Men was 94.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Food processing workers, all other occupations: 16 years and over: Men reached a record high of 119.00000 in January of 2017 and a record low of 67.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Food processing workers, all other occupations: 16 years and over: Men - last updated from the United States Federal Reserve on December of 2025.

The Data Processing & Hosting Services industry in Pennsylvania is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

The Data Processing & Hosting Services industry in Massachusetts is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

Dividend-Yield Time Series for Automatic Data Processing Inc. Automatic Data Processing, Inc. provides cloud-based human capital management (HCM) solutions worldwide. It operates in two segments, Employer Services and Professional Employer Organization (PEO). The Employer Services segment offers strategic, cloud-based platforms, and human resources (HR) outsourcing solutions. This segment's offerings include RUN Powered by ADP, a software platform for small business payroll, HR, and compliance; ADP Workforce Now, a HCM solution used across mid-sized and large businesses to manage employees; and ADP Lyric HCM, a solution for HR management, payroll, workforce management, talent, and data analytics. The PEO Services segment provides HR and employment administration outsourcing solutions under ADP TotalSource name to businesses through a co-employment model. The segment also provides guidance, user-friendly technology, comprehensive employee benefits, and a risk management, safety, and workers' compensation program. The company was founded in 1949 and is headquartered in Roseland, New Jersey.

Graph and download economic data for Compensation of employees: Domestic private industries: Information: Information and data processing services (N4058C0A144NBEA) from 1998 to 2023 about information, processed, compensation, private industries, domestic, services, private, employment, industry, GDP, and USA.

Switzerland Nominal Wage Index: 2010=100: SS: Mfg: Electrical & Data Processing Equipment data was reported at 105.941 2010=100 in 2017. This records an increase from the previous number of 105.102 2010=100 for 2016. Switzerland Nominal Wage Index: 2010=100: SS: Mfg: Electrical & Data Processing Equipment data is updated yearly, averaging 102.741 2010=100 from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 105.941 2010=100 in 2017 and a record low of 100.000 2010=100 in 2010. Switzerland Nominal Wage Index: 2010=100: SS: Mfg: Electrical & Data Processing Equipment data remains active status in CEIC and is reported by Swiss Federal Statistical Office. The data is categorized under Global Database’s Switzerland – Table CH.G030: Nominal and Real Wage Index: 2010=100.

United States - Water, Sewer, Refuse Removal, and Other Utility Payments for Data Processing, Hosting, and Related Services, All Establishments, Employer Firms (DISCONTINUED) was 74.00000 Mil. of $ in January of 2017, according to the United States Federal Reserve. Historically, United States - Water, Sewer, Refuse Removal, and Other Utility Payments for Data Processing, Hosting, and Related Services, All Establishments, Employer Firms (DISCONTINUED) reached a record high of 86.00000 in January of 2014 and a record low of 65.00000 in January of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Water, Sewer, Refuse Removal, and Other Utility Payments for Data Processing, Hosting, and Related Services, All Establishments, Employer Firms (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

United States - Payroll Taxes, Employer Paid Insurance Premiums (Except Health), and Other Employer Benefits for Data Processing, Hosting, and Related Services, All Establishments, Employer Firms (DISCONTINUED) was 5659.00000 Mil. of $ in January of 2017, according to the United States Federal Reserve. Historically, United States - Payroll Taxes, Employer Paid Insurance Premiums (Except Health), and Other Employer Benefits for Data Processing, Hosting, and Related Services, All Establishments, Employer Firms (DISCONTINUED) reached a record high of 5659.00000 in January of 2017 and a record low of 3345.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Payroll Taxes, Employer Paid Insurance Premiums (Except Health), and Other Employer Benefits for Data Processing, Hosting, and Related Services, All Establishments, Employer Firms (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

The Data Processing & Hosting Services industry in Wisconsin is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x million.

Italy WSI: PE: IC: IO: IS: Data Processing, Hosting & Related, Web Portals data was reported at 103.200 Dec2015=100 in Mar 2019. This stayed constant from the previous number of 103.200 Dec2015=100 for Feb 2019. Italy WSI: PE: IC: IO: IS: Data Processing, Hosting & Related, Web Portals data is updated monthly, averaging 94.100 Dec2015=100 from Jan 2005 (Median) to Mar 2019, with 171 observations. The data reached an all-time high of 103.200 Dec2015=100 in Mar 2019 and a record low of 78.900 Dec2015=100 in Mar 2005. Italy WSI: PE: IC: IO: IS: Data Processing, Hosting & Related, Web Portals data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G020: Wages and Salaries Index: Per Employee: Dec2015=100.

The Data Processing & Hosting Services industry in Maine is expected to grow an annualized x.x% to $x.x million over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x million.

Switzerland Nominal Wage Index: 2020=100: SS: Mfg: Electrical & Data Processing Equipment data was reported at 102.900 2020=100 in 2024. This records an increase from the previous number of 101.100 2020=100 for 2023. Switzerland Nominal Wage Index: 2020=100: SS: Mfg: Electrical & Data Processing Equipment data is updated yearly, averaging 100.000 2020=100 from Dec 2021 (Median) to 2024, with 4 observations. The data reached an all-time high of 102.900 2020=100 in 2024 and a record low of 98.300 2020=100 in 2022. Switzerland Nominal Wage Index: 2020=100: SS: Mfg: Electrical & Data Processing Equipment data remains active status in CEIC and is reported by Swiss Federal Statistical Office. The data is categorized under Global Database’s Switzerland – Table CH.G030: Nominal and Real Wage Index: 2020=100.

ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: Calibration Spectral line imaging Continuum imaging Source detection and generation of source catalogs Tran…Show full descriptionASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: Calibration Spectral line imaging Continuum imaging Source detection and generation of source catalogs Transient detection ASKAPsoft is developed as a part of the CSIRO Australian Square Kilometre Array Pathfinder (ASKAP) Science Data Processor component. ASKAPsoft is a key component in the ASKAP system. It is the primary software for storing and processing raw data, and initiating the archiving of resulting science data products into the data archive (CASDA). The processing pipelines within ASKAPsoft are largely written in C++ built on top of casacore and other third party libraries. The software is designed to be parallelised, where possible, for performance. ASKAPsoft is designed to be built and executed in a standard Unix/Linux environment and core dependencies must be fulfilled by the platform. These include, but are not limited to, a C/C++/Fortran compiler, Make, Python 2.7, Java 7 and MPI. More specific dependencies are downloaded by the ASKAPsoft build system and are installed within the ASKAPsoft development tree. Specific to the Debian platform, after a standard installation of Debian Wheezy (7.x) the following packages will need to be installed with apt-get: g++ gfortran openjdk-7-jdk python-dev flex bison openmpi-bin libopenmpi-dev libfreetype6-dev libpng12-dev More information regarding the building, installation and running of the software can be found in the README file in the root of the file structure that forms this collection. Source code can be accessed via the links in Related Materials section. This is a patch release that fixes several issues: The parallel linear mosaicking tool linmos-mpi has been patched to correct a bug that was initialising cube slices incorrectly. Several fixes to the CP manager and the pipeline scripts were made following end-to-end testing with the full ASKAP online system: The CP manager will send notifications to a nominated JIRA ticket upon SB state changes. Several fixes were made to the CASDA uploading and polling scripts, to ensure accurate execution. The capability of sending notifications to a JIRA ticket has also been added. The Project ID is now taken preferentially from the SB, rather than the config file. The linear mosaicking in the pipelines is now not turned off when only a single beam is processed. The metadata and files (if any) are available to the public.

Housekeeping voltage, temperature, current, and payload status values returned every 40 s. NOTE: The analog sensor data in these records are based on the nominal BARREL housekeeping layout. Some payloads may have small differences that are not reflected here. If there is specific sensor data that you need that looks questionable, please contact the BARREL team for clarification.The BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.The initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.Later campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.Summing over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: "By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count." Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.The information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.The current release of all BARREL CDF data products are Version 10 files.BARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.BARREL Data Usage PolicyBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid. Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI. Users should notify the BARREL PI of the data use and investigation objectives. This will ensure that you are using the data appropriately and have the most recent version of the data or analysis routines. Additionally, if a BARREL team member is already working on a similar or related topic, they may be able to contribute intellectually. If BARREL team members are not part of the author list, then users should Credit/Acknowledge the BARREL team as follows: We acknowledge the BARREL team (PI: Robyn Millan) for use of BARREL data. Users are also requested to provide the PI with a copy of each manuscript that uses BARREL data upon submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI.The BARREL PI can be contacted at: Robyn.Millan@dartmouth.edu.An online copy of the BARREL Data Usage Policy document can be found at: https://barrel.rmillan.host.dartmouth.edu/documents/data.use.policy.pdf.