100+ datasets found
  1. F

    Federal Government; Paycheck Protection Program Payables; Liability, Level

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Federal Government; Paycheck Protection Program Payables; Liability, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL313170103Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Federal Government; Paycheck Protection Program Payables; Liability, Level (BOGZ1FL313170103Q) from Q4 1945 to Q1 2025 about payable, ppplf, program, liabilities, federal, government, and USA.

  2. Share of rural Americans who could not afford an unexpected expense by...

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Share of rural Americans who could not afford an unexpected expense by income 2019 [Dataset]. https://www.statista.com/statistics/1009376/share-rural-americans-could-not-afford-unexpected-expense-income/
    Explore at:
    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 31, 2019 - Mar 2, 2019
    Area covered
    United States
    Description

    This statistic shows the share of rural Americans who could not afford an unexpected expense in 2019, by income. During the survey, 54 percent of rural Americans who had an income of 25,000 U.S. dollars to 50,000 U.S. dollars reported that they would not be able to pay off an unexpected expense of 1,000 U.S. dollars right away.

  3. d

    US SBA COVID-19 Relief to NYS Business – Paycheck Protection Program

    • catalog.data.gov
    • data.ny.gov
    Updated Sep 15, 2023
    + more versions
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    data.ny.gov (2023). US SBA COVID-19 Relief to NYS Business – Paycheck Protection Program [Dataset]. https://catalog.data.gov/dataset/us-sba-covid-19-relief-to-nys-business-paycheck-protection-program
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.ny.gov
    Area covered
    New York, United States
    Description

    The Paycheck Protection Program (PPP) established by the CARES Act, is implemented by the Small Business Administration (SBA) with support from the Department of the Treasury. The program provided small businesses with funds to pay up to 8 weeks of payroll costs including benefits. Funds could also be used to pay interest on mortgages, rent, and utilities This dataset details New York State recipients of PPP funds.

  4. U.S. personal income 1991-2023

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). U.S. personal income 1991-2023 [Dataset]. https://www.statista.com/statistics/216756/us-personal-income/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the total personal income in the United States from 1990 to 2023. The data are in current U.S. dollars not adjusted for inflation or deflation. According to the BEA, personal income is the income that is received by persons from all sources. It is calculated as the sum of wage and salary disbursements, supplements to wages and salaries, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and personal current transfer receipts, less contributions for government social insurance. Personal income increased to about 23 trillion U.S. dollars in 2023.Personal income Personal income in the United States has risen steadily over the last decades from 5.07 trillion U.S. dollars in 1991 to 23 trillion U.S. dollars in 2023. Personal income includes all earnings including wages, investments, and other sources. Personal income also varied widely across the U.S., where those living in the District of Columbia, on the higher scale, earned an average of 96,873 U.S. dollars per capita and on the lower end of the spectrum, people in Mississippi earned 45,438 U.S. dollars per capita. In the District of Columbia, disposable income averaged some 81,193 U.S. dollars. In total, California earned the most personal income followed by Texas, receiving three trillion U.S. dollars and 1.76 trillion U.S. dollars, respectively. Income tends to vary widely between demographics in the United States. Those with higher education levels tend to earn more money. However, only 25.7 percent of persons with a disability that had a Bachelor's degree or higher were employed in 2020. The Social Security and Supplemental Security Income disability programs provide monetary benefits to the disabled and certain family members.

  5. Envestnet | Yodlee's De-Identified Salary Research Panel | USA Employee...

    • datarade.ai
    .sql, .txt
    Updated Mar 1, 2022
    + more versions
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    Envestnet | Yodlee (2022). Envestnet | Yodlee's De-Identified Salary Research Panel | USA Employee Payroll Data covering 4800+ employers | Cohort Analysis [Dataset]. https://datarade.ai/data-products/yodlee-s-payroll-panel
    Explore at:
    .sql, .txtAvailable download formats
    Dataset updated
    Mar 1, 2022
    Dataset provided by
    Envestnethttp://envestnet.com/
    Yodlee
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    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

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. 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

  6. F

    Federal Government; Paycheck Protection Program Payables; Liability,...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Federal Government; Paycheck Protection Program Payables; Liability, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FU313170103A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Federal Government; Paycheck Protection Program Payables; Liability, Transactions (BOGZ1FU313170103A) from 1946 to 2024 about payable, ppplf, program, transactions, liabilities, federal, government, and USA.

  7. U.S. full-time wage and salary workers weekly earnings 2023, by ethnicity

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. full-time wage and salary workers weekly earnings 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/185279/median-weekly-earnings-of-full-time-wage-and-salary-workers-by-ethnicity/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the median usual weekly earnings of a Hispanic full-time employees in the United States amounted to 874 current U.S. dollars. For the American public as a whole, the median weekly earnings stood at 1,117 current U.S. dollars.

  8. United States Monthly Earnings

    • ceicdata.com
    Updated Mar 21, 2025
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    CEICdata.com (2025). United States Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/united-states/monthly-earnings
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    Dataset updated
    Mar 21, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    Key information about United States Monthly Earnings

    • United States Monthly Earnings stood at 4,901 USD in Feb 2025, compared with the previous figure of 4,887 USD in Jan 2025
    • US Monthly Earnings data is updated monthly, available from Mar 2006 to Feb 2025, with an average number of 3,469 USD
    • The data reached the an all-time high of 4,901 USD in Feb 2025 and a record low of 2,743 USD in Mar 2006

    CEIC calculates Monthly Earnings from Average Weekly Earnings multiplied by 4. U.S. Bureau of Labor Statistics provides Average Weekly Earnings in USD. Monthly Earnings include Private Non Agricultural sector only.


    Further information about United States Monthly Earnings

    • In the latest reports, US Population reached 341 million people in Dec 2024
    • Unemployment Rate of US increased to 4 % in Feb 2025
    • The country's Labour Force Participation Rate remained the same rate at 62 % in Feb 2025

  9. v

    H-1B Salary Data by State

    • salariesusa.vercel.app
    Updated Jun 11, 2025
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    (2025). H-1B Salary Data by State [Dataset]. https://salariesusa.vercel.app/
    Explore at:
    Dataset updated
    Jun 11, 2025
    Description

    Explore and analyze comprehensive H-1B visa salary data meticulously organized by individual US states. Find insights into compensation trends across different regions.

  10. U.S. number of wage and salary workers 1979-2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. number of wage and salary workers 1979-2023 [Dataset]. https://www.statista.com/statistics/185521/total-number-of-wage-and-salary-workers/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, around 144.54 million people were employed as wage and salary workers in the United States. This was an increase from the previous year, when the number stood at 141.67 million wage and salary employees.

  11. v

    H-1B Salary Data by City

    • salariesusa.vercel.app
    Updated Jun 11, 2025
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    (2025). H-1B Salary Data by City [Dataset]. https://salariesusa.vercel.app/
    Explore at:
    Dataset updated
    Jun 11, 2025
    Description

    View H-1B visa salary data aggregated by city. Compare salaries in major metropolitan areas and other locations across the US.

  12. United States US: Time to Prepare and Pay Taxes

    • ceicdata.com
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    CEICdata.com, United States US: Time to Prepare and Pay Taxes [Dataset]. https://www.ceicdata.com/en/united-states/company-statistics/us-time-to-prepare-and-pay-taxes
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Enterprises Statistics
    Description

    United States US: Time to Prepare and Pay Taxes data was reported at 175.000 Hour in 2017. This stayed constant from the previous number of 175.000 Hour for 2016. United States US: Time to Prepare and Pay Taxes data is updated yearly, averaging 175.000 Hour from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 175.000 Hour in 2017 and a record low of 175.000 Hour in 2017. United States US: Time to Prepare and Pay Taxes data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Company Statistics. Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  13. Paycheck Protection Program Loan-Level Data

    • kaggle.com
    Updated Feb 17, 2021
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    Davin Cermak (2021). Paycheck Protection Program Loan-Level Data [Dataset]. https://www.kaggle.com/davincermak/payroll-protection-program-loanlevel-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 17, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Davin Cermak
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Created under the Cares Act as a response to COVID economic disruption, the Paycheck Protection Program (PPP) offered emergency loans to small businesses in the United States with the goal of reducing job losses. To promote the program, borrowers may be eligible for loan forgiveness if at least 60% of the loan proceeds were used to pay workers.

    Content

    There are 3 data files:

    • ppp_loan_data.cvs: In addition to the loan amount (in U.S. dollars), the data file contains loan-level demographic information on the loans originated under the PPP program. Geographic fields include state, city, U.S. Congressional District, and zip code. It also includes business ownership type and a detailed NAICS code indicating the borrower's type of business, originating bank, and some borrower characteristics.

    • naics_6.csv: this file contains industry names to accompany the NAICS code in the data file

    • zip_county_crosswalk.cvs: this file maps zip codes to U.S. counties for anyone interested in incorporating additional demographic, economic, or other data of interest.

    Acknowledgements

    This data comes from the U.S. Small Business Administration (https://www.sba.gov/funding-programs/loans/coronavirus-relief-options/paycheck-protection-program).

  14. v

    H-1B Salary Data by Job Title

    • salariesusa.vercel.app
    Updated Jun 11, 2025
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    (2025). H-1B Salary Data by Job Title [Dataset]. https://salariesusa.vercel.app/
    Explore at:
    Dataset updated
    Jun 11, 2025
    Description

    Filter H-1B visa salary information by job titles. Understand the salary landscape for specific roles across various industries in the United States.

  15. U.S. male full-time wage and salary worker weekly earnings 1979-2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. male full-time wage and salary worker weekly earnings 1979-2023 [Dataset]. https://www.statista.com/statistics/185240/median-weekly-earnings-of-male-full-time-wage-and-salary-workers/
    Explore at:
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 1979 the median usual weekly earnings of a male full-time employee in the United States of America amounted to 292 current U.S. dollars. In 2023, that figure had risen to 1,202 current U.S. dollars. The term current U.S. dollars describes the value of the currency in that particular year. Men's median weekly earnings adjusted for inflation can be accessed here.

  16. Local Law 18 Pay and Demographics Report - Agency Report Table

    • data.cityofnewyork.us
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated Oct 17, 2023
    + more versions
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    Office of Technology and Innovation (OTI) (2023). Local Law 18 Pay and Demographics Report - Agency Report Table [Dataset]. https://data.cityofnewyork.us/City-Government/Local-Law-18-Pay-and-Demographics-Report-Agency-Re/423i-ukqr
    Explore at:
    xml, csv, application/rssxml, tsv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    New York City Office of Technology and Innovationhttps://www.nyc.gov/content/oti/pages/
    Authors
    Office of Technology and Innovation (OTI)
    Description

    The Agency Report Table aggregates pay and employment characteristics in accordance with the requirements of Local Law 18 of 2019. The Table is a point-in-time snapshot of employees who were either active or on temporary leave (parental leave, military leave, illness, etc.) as of December 31st of each year the data is available (see Column "Data Year"). In addition, the Table contains snapshot data of active employees in seasonal titles as of June 30th. To protect the privacy of employees, the sign “<5” is used instead of the actual number for groups of less than five (5) employees, in accordance with the Citywide Privacy Protection Policies and Protocols. The Pay and Demographics Report, and the list of agencies included is available on the MODA Open Source Analytics Library: https://modaprojects.cityofnewyork.us/local-law-18/

    Each row represents a group of employees with a common agency, EEO-4 Job Category, pay band, employee status and demographic attributes, which include race, ethnicity and gender.

  17. U.S. Asian full-time wage and salary workers weekly earnings 2000-2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. Asian full-time wage and salary workers weekly earnings 2000-2023 [Dataset]. https://www.statista.com/statistics/185272/median-weekly-earnings-of-asian-full-time-wage-and-salary-workers/
    Explore at:
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2000, the median usual weekly earnings of an Asian full-time employee in the United States amounted to 615 current U.S. dollars, which was 39 U.S. dollars above the general average. Whereas in 2023, the median usual weekly earnings of an Asian full-time employee in the United States amounted to 1,474 current U.S. dollars. The median weekly earnings of Asian Americans adjusted for inflation can be found here.

  18. US Buy Now Pay Later Services Market Size, Share Analysis & Growth Trends...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 11, 2025
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    Mordor Intelligence (2025). US Buy Now Pay Later Services Market Size, Share Analysis & Growth Trends Report - 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/us-buy-now-pay-later-services-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    United States
    Description

    The United States Buy Now Pay Later Services Market is Segmented by Channel (Online and POS), End User Type (Consumer Electronics, Fashion & Apparel, Healthcare and Wellness, Home Improvement, and More), Age Group (Generation Z, Millennials, Generation X, and More), and Provider (Fintechs, Banks, Others). The Market Forecasts are Provided in Terms of Value (USD).

  19. Average annual salary of financial advisors in the U.S. 2024, by industry

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Average annual salary of financial advisors in the U.S. 2024, by industry [Dataset]. https://www.statista.com/statistics/935999/salaries-of-financial-advisors-by-industry-usa/
    Explore at:
    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    United States
    Description

    As of May 2024, financial advisors working in securities, commodity contracts, and other financial investments were the highest paid financial advisors in the United States, earning an average of ******* U.S. dollars per year. Financial advisors working in non-depository credit intermediation followed, with an average annual salary of ******* U.S. dollars per year.

  20. c

    Median Salary Per Month in U.S., 2000-2024*

    • consumershield.com
    csv
    Updated Apr 15, 2025
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    ConsumerShield Research Team (2025). Median Salary Per Month in U.S., 2000-2024* [Dataset]. https://www.consumershield.com/articles/average-salary-per-month
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    United States of America
    Description

    The graph presents the median monthly salary in the United States from 2000 to 2024. The x-axis represents the years, labeled from '00 to '24*, while the y-axis shows the salary amounts in U.S. dollars per month. Throughout this twenty-four-year period, the median monthly salary consistently increased from $2,500 in 2000 to $5,036 in 2024. The data highlights a steady upward trend, with annual salaries rising each year without any declines. Notably, the salary grew by approximately $200 each year from 2000 to 2019, surged to $4,269 in 2020, and continued to climb each subsequent year, reaching $5,000 by 2024. This consistent growth reflects economic advancements and potential increases in workforce compensation over the decade. The information is depicted in a line graph format, effectively illustrating the continuous rise in median monthly salaries across the specified years.

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(2025). Federal Government; Paycheck Protection Program Payables; Liability, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL313170103Q

Federal Government; Paycheck Protection Program Payables; Liability, Level

BOGZ1FL313170103Q

Explore at:
jsonAvailable download formats
Dataset updated
Jun 12, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Federal Government; Paycheck Protection Program Payables; Liability, Level (BOGZ1FL313170103Q) from Q4 1945 to Q1 2025 about payable, ppplf, program, liabilities, federal, government, and USA.

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