Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in the United States increased by 147 thousand in June of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
In October 2024, employment in private education and health services increased by roughly 57,000 in the United States from September 2024. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Total Nonfarm Private Payroll Employment (ADPMNUSNERSA) from Jan 2010 to Jun 2025 about payrolls, nonfarm, private, employment, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Private businesses in the United States fired -33 thousand workers in June of 2025 compared to 29 thousand in May of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Employee payroll data for all Cook County employees excluding Forest Preserves, indicating amount of base salary paid to an employee during the County fiscal quarter. Salaries are paid to employees on a bi-weekly basis. Any pay period that extended between quarters will be reported to the quarter of the Pay Period End Date. (e.g. If a Pay Period runs 02/21-03/05, that pay period would be reported in the Q2 period, as the end of the pay period falls in March - Q2) The county fiscal quarters are: Q1: December - February Q2: March - May Q3: June - August Q4: September - November The Employee Unique Identifier field is a unique number assigned to each employee for the purpose of this data set, that is not their internal employee ID number, and allows an employee to be identified in the data set over time, in case of a name change or other change. This number will be consistent within the data set, but we reserve the right to regenerate this number over time across the data set. ISSUE RESOLVED: As of 4/19/2018 there was an issue regarding employee FY2016 and FY2017 payroll in which records were duplicated in the quarterly aggregation, resulting in inflated base pay amounts. Please disregard any data extracted from this dataset prior to the correction date and use this version moving forward. KNOWN ISSUE: Several records are missing Bureau and Office information. We are working on correcting this and will update the dataset when this issue has been resolved. For data prior to Fiscal Year 2016, see datasets at https://datacatalog.cookcountyil.gov/browse?tags=payroll
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Non Farm Payroll Nowcast: sa: MoM data was reported at 161.800 Person th in 12 May 2025. This records a decrease from the previous number of 177.105 Person th for 05 May 2025. United States Non Farm Payroll Nowcast: sa: MoM data is updated weekly, averaging 262.361 Person th from Jan 2020 (Median) to 12 May 2025, with 277 observations. The data reached an all-time high of 4,928.298 Person th in 13 Jul 2020 and a record low of -13,249.858 Person th in 11 May 2020. United States Non Farm Payroll Nowcast: sa: MoM data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Hours of Wage and Salary Workers on Nonfarm Payrolls: Total (DISCONTINUED) (TOTLQ) from Q1 1964 to Q3 2022 about payrolls, salaries, nonfarm, workers, hours, wages, and USA.
Note, 7/10/2025: Please see this article for information on a change to the EMPLOYEE DATASET ID column and this article for information on a data correction. Welcome to the official source for Employee Payroll Costing data for the City of Chicago. This dataset offers a clean, comprehensive view of the City's payroll information by employee. About the Dataset: This has been extracted from the City of Chicago's Financial Management and Purchasing System (FMPS). FMPS is the system used to process all financial transactions made by the City of Chicago, ensuring accuracy and transparency in fiscal operations. This dataset includes useful details like employee name, pay element, pay period, fund, appropriation, department, and job title. Data Disclaimer: The following data disclaimer governs your use of the dataset extracted from the Payroll Costing module of the City of Chicago's Financial Management and Purchasing System (FMPS) or (FMPS Payroll Costing). Point-in-Time Extract: The dataset provided herein, represents a point-in-time extract from the FMPS Payroll Costing module and may not reflect real-time or up-to-date data. Financial Statement Disclaimer – Timeframe and Limitations: This dataset is provided without audit. It is essential to note that this dataset is not a component of the City's Annual Comprehensive Financial Report (ACFR). As such, it remains preliminary and is subject to the end-of-year reconciliation process inherent to the City's annual financial procedures outlined in the ACFR. Note on Pay Elements: All pay elements available in the FMPS Payroll Costing module have been included in this dataset. Previously published datasets, such as "Employee Overtime and Supplemental Earnings," contained only a subset of these pay elements. Payroll Period: The dataset's timeframe is organized into 24 payroll periods. It is important to understand that these periods may or may not directly correspond to specific earnings periods. Aggregating Data: The CIty of Chicago often has employees with the same name (including middle initials). It is vital to use the unique employee identifier code (EMPLOYEE DATASET ID) when aggregating at the employee level to avoid duplication. Data Subject to Change: This dataset is subject to updates and modifications due to the course of business, including activities such as canceling, adjusting, and reissuing checks. Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data was reported at 4.767 % in 12 May 2025. This records a decrease from the previous number of 6.256 % for 05 May 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data is updated weekly, averaging 2.759 % from Jan 2020 (Median) to 12 May 2025, with 277 observations. The data reached an all-time high of 27.973 % in 14 Jun 2021 and a record low of 0.053 % in 12 Jul 2021. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States FRBOP Forecast: Non Farm Payroll: Mean: sa: Plus 4 Qtrs data was reported at 152,474.902 Person th in Mar 2019. This records an increase from the previous number of 151,765.558 Person th for Dec 2018. United States FRBOP Forecast: Non Farm Payroll: Mean: sa: Plus 4 Qtrs data is updated quarterly, averaging 137,397.915 Person th from Dec 2003 (Median) to Mar 2019, with 62 observations. The data reached an all-time high of 152,474.902 Person th in Mar 2019 and a record low of 131,620.232 Person th in Jun 2009. United States FRBOP Forecast: Non Farm Payroll: Mean: sa: Plus 4 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.G030: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Total Nonfarm Private Payroll Employment was 129256.09800 Thous. in May of 2022, according to the United States Federal Reserve. Historically, United States - Total Nonfarm Private Payroll Employment reached a record high of 129256.09800 in May of 2022 and a record low of 107361.00000 in March of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Nonfarm Private Payroll Employment - last updated from the United States Federal Reserve on June of 2025.
In May 2025, the average hourly earnings for all employees on private nonfarm payrolls in the United States stood at 36.24 U.S. dollars. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Employment: NF: sa: Over-the-Month Change: 2nd data was reported at 185.000 Person th in Mar 2025. This records an increase from the previous number of 117.000 Person th for Feb 2025. Employment: NF: sa: Over-the-Month Change: 2nd data is updated monthly, averaging 167.000 Person th from Jan 1979 (Median) to Mar 2025, with 555 observations. The data reached an all-time high of 4,791.000 Person th in Jun 2020 and a record low of -20,687.000 Person th in Apr 2020. Employment: NF: sa: Over-the-Month Change: 2nd data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in France increased by 27036 thousand in March of 2025. This dataset provides - France Non Farm Payrolls- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Employment: NF: sa: IF: TC: WW: Wired data was reported at 433.500 Person th in Mar 2025. This records a decrease from the previous number of 436.100 Person th for Feb 2025. Employment: NF: sa: IF: TC: WW: Wired data is updated monthly, averaging 666.400 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 960.500 Person th in Dec 2000 and a record low of 433.500 Person th in Mar 2025. Employment: NF: sa: IF: TC: WW: Wired data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.
Envestnet | Yodlee's Salary Data Panel captures de-identified payroll information to deliver valuable employment insights, such as a company's wage costs, seasonal performance, headcount, hiring, layoffs, and more.
De-identified payroll data analytics for major employers gives decision makers insight into employment trends across many industries. The payroll product includes 1000+ employers and data can be used for company specific or macro purposes.
- 4800+ employers tagged
- Frequency of payroll identified (i.e. weekly, bi-weekly)
- Data at user and account level to allow for cohort analysis (e.g. Macys likely to lose 10% of revenue due to unemployment within their cohort)
New Features - Mapping to Category codes and Employer Dependency Scoring Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking
Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)
Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence
Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
There are over 20,000 employees working for the City of Houston. This portal contains payroll information from 2018 to present.
The Payroll dataset includes information about the City of Houston employee payroll, including salary and year to date pay.
This page, or other pages, in this Open Payroll module will serve a function similar to the check register, including salary and year to date pay of the employees of the City for the considered calendar year. The data is provided in an anonymized way to protect the personal information of the employees of the City while providing relevant actual and statistical information.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Total Nonfarm Payroll Employment in Texas was 1.40094 Dec to Dec % Chg. in January of 2024, according to the United States Federal Reserve. Historically, Total Nonfarm Payroll Employment in Texas reached a record high of 6.21430 in January of 2021 and a record low of -4.36883 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Total Nonfarm Payroll Employment in Texas - last updated from the United States Federal Reserve on July of 2025.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Nonfarm Private Small Payroll Employment (1 - 49) (DISCONTINUED) (NPPTS) from Jan 2005 to May 2022 about 1 to 49, payrolls, nonfarm, private, employment, and USA.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global payroll market size was USD 6.29 Billion in 2023 and is likely to reach USD 12.21 Billion by 2032, expanding at a CAGR of 7.64% during 2024–2032. The market growth is attributed to the increasing demand for cloud payroll services from several end-user industries.
Increasing digitalization and automation in the business world are expected to boost the payroll market during projection period. The latest market trends indicate a shift toward cloud-based solutions, offering scalability, real-time data access, and cost-effectiveness. Businesses are recognizing the need for efficient and automated payroll systems to ensure accurate as well as timely payment to employees, compliance with tax laws, and streamlined financial management.
Growing complexity in payroll processing due to varying tax laws, multiple employee types, and diverse pay structures is necessitating advanced payroll solutions. These solutions automate the calculation and distribution of employee salaries and also handle tax deductions, benefits administration, & record-keeping. The ability of these systems to reduce manual errors, save time, and ensure compliance is contributing to their rising adoption.
Rising demand for integrated solutions is another trend shaping the payroll market. Businesses are seeking payroll systems that seamlessly integrate with other HR and financial systems, providing a holistic view of employee data and facilitating strategic decision-making. This demand is encouraging software providers to develop integrated solutions, thus driving the market.
The use of "https://dataintelo.com/report/artificial-intelligence-market" style="color:#0563c1;" target="_blank"><span
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in the United States increased by 147 thousand in June of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.