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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.
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.
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.
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.
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
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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.
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.
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Key information about United States Monthly Earnings
Explore and analyze comprehensive H-1B visa salary data meticulously organized by individual US states. Find insights into compensation trends across different regions.
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.
View H-1B visa salary data aggregated by city. Compare salaries in major metropolitan areas and other locations across the US.
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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.
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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.
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.
This data comes from the U.S. Small Business Administration (https://www.sba.gov/funding-programs/loans/coronavirus-relief-options/paycheck-protection-program).
Filter H-1B visa salary information by job titles. Understand the salary landscape for specific roles across various industries in the United States.
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.
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.
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.
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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).
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.
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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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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.