Wages in the United States increased 4.72 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In March 2025, inflation amounted to 2.4 percent, while wages grew by 4.3 percent. The inflation rate has not exceeded the rate of wage growth since January 2023. Inflation in 2022 The high rates of inflation in 2022 meant that the real terms value of American wages took a hit. Many Americans report feelings of concern over the economy and a worsening of their financial situation. The inflation situation in the United States is one that was experienced globally in 2022, mainly due to COVID-19 related supply chain constraints and disruption due to the Russian invasion of Ukraine. The monthly inflation rate for the U.S. reached a 40-year high in June 2022 at 9.1 percent, and annual inflation for 2022 reached eight percent. Without appropriate wage increases, Americans will continue to see a decline in their purchasing power. Wages in the U.S. Despite the level of wage growth reaching 6.7 percent in the summer of 2022, it has not been enough to curb the impact of even higher inflation rates. The federally mandated minimum wage in the United States has not increased since 2009, meaning that individuals working minimum wage jobs have taken a real terms pay cut for the last twelve years. There are discrepancies between states - the minimum wage in California can be as high as 15.50 U.S. dollars per hour, while a business in Oklahoma may be as low as two U.S. dollars per hour. However, even the higher wage rates in states like California and Washington may be lacking - one analysis found that if minimum wage had kept up with productivity, the minimum hourly wage in the U.S. should have been 22.88 dollars per hour in 2021. Additionally, the impact of decreased purchasing power due to inflation will impact different parts of society in different ways with stark contrast in average wages due to both gender and race.

The average real wages worldwide saw *********** every year since 2006. However, in 2022, the aftermath of the COVID-19 pandemic and the rising inflation rates in led to a decrease in real average wages worldwide. In 2023, real global wage growth was positive again.

Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q1 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages in Poland increased 8.40 percent in May of 2025 over the same month in the previous year. This dataset provides - Poland Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The annual salary received by members of the United States Congress in 2025 is ******* U.S. dollars. This has been the case since 2009. The Government Ethics Reform Act of 1989 provides an automatic cost of living adjustment increase in line with the

Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Black or African American (LEU0252884600Q) from Q1 2000 to Q1 2025 about full-time, African-American, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

Wages in Germany increased 1.20 percent in March of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Germany Wage Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Wages in France increased 2.10 percent in March of 2025 over the same month in the previous year. This dataset provides - France Monthly Wages Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages for regular pay in the United Kingdom grew by approximately 5.2 percent in April 2025, although when adjusted for inflation, wages for regular pay only grew in real terms by 1.4 percent. Twenty months of inflation outpacing wages Between November 2021 and June 2023 inflation was higher than wage growth in the UK, resulting in falling real terms earnings throughout this 20-month period. While UK inflation peaked at 11.1 percent in October 2022, it was not until April 2023 that it fell below double figures, and not until May 2024 that it reached the Bank of England's target of two percent. Forecasts from the Autumn 2024 budget predict that the annual UK inflation will for 2024 will be 2.5 percent, down from 7.3 percent in 2023 and 9.1 percent in 2022. Due to high inflation, the UK's minimum wage also rose quite significantly during this period, with the "main" rate increasing from 8.91 pounds per hour in 2021 to 12.21 pounds per hour in 2025. Average earnings and gender pay gap For full-time workers in the United Kingdom, the median average annual earnings was 37,430 British pounds in 2024, compared with 34,663 pounds in 2023. In London, average earnings were significantly higher than the rest of the country, at 47,455 pounds. Just two other areas of the United Kingdom, the South East and Scotland, had annual salaries above the UK average. North East England had the lowest average salary, at 32,960 pounds. As of 2024, the gender pay gap for median gross hourly earnings in the UK was 13.1 percent for all workers, falling to seven percent for full-time workers and -3 percent for part-time workers. Compared with 1997, when the gender pay gap was 27.5 percent for all workers, there has been a degree of progress, although, at current trends, it will be some time before the gap is closed entirely.

Annual earnings for women full-time workers in the United Kingdom grew by approximately 6.1 percent in 2023, while for men it grew by six percent.

In 2024, the salary increase across India was *** percent, a slight decline since last year. The salary increase in India was the highest among the Asia-Pacific countries. The salary growth is expected to stay the same in 2025 at *** percent. Sectors driving growth Sectors like Pharmaceuticals, manufacturing, insurance, captives, and SSO are projecting above the general industry salary median for 2025. With its highly skilled talent pool, India’s global capability centers (GCCs) are driving the projected salary increases. Outlook The projected increase in salary in 2025 is expected to be similar to 2024. Cost management, inflation, fear of recession, and a tighter labor market are some factors leading to 2025 projections. 2023 witnessed the highest salary increase during the recorded period, with a ** percent growth.

Data is collected because of public interest in how the City’s budget is being spent on salary and overtime pay for all municipal employees. Data is input into the City's Personnel Management System (“PMS”) by the respective user Agencies. Each record represents the following statistics for every city employee: Agency, Last Name, First Name, Middle Initial, Agency Start Date, Work Location Borough, Job Title Description, Leave Status as of the close of the FY (June 30th), Base Salary, Pay Basis, Regular Hours Paid, Regular Gross Paid, Overtime Hours worked, Total Overtime Paid, and Total Other Compensation (i.e. lump sum and/or retro payments). This data can be used to analyze how the City's financial resources are allocated and how much of the City's budget is being devoted to overtime. The reader of this data should be aware that increments of salary increases received over the course of any one fiscal year will not be reflected. All that is captured, is the employee's final base and gross salary at the end of the fiscal year. In very limited cases, a check replacement and subsequent refund may reflect both the original check as well as the re-issued check in employee pay totals. NOTE 1: To further improve the visibility into the number of employee OT hours worked, beginning with the FY 2023 report, an updated methodology will be used which will eliminate redundant reporting of OT hours in some specific instances. In the previous calculation, hours associated with both overtime pay as well as an accompanying overtime “companion code” pay were included in the employee total even though they represented pay for the same period of time. With the updated methodology, the dollars shown on the Open Data site will continue to be inclusive of both types of overtime, but the OT hours will now reflect a singular block of time, which will result in a more representative total of employee OT hours worked. The updated methodology will primarily impact the OT hours associated with City employees in uniformed civil service titles. The updated methodology will be applied to the Open Data posting for Fiscal Year 2023 and cannot be applied to prior postings and, as a result, the reader of this data should not compare OT hours prior to the 2023 report against OT hours published starting Fiscal Year 2023. The reader of this data may continue to compare OT dollars across all published Fiscal Years on Open Data. NOTE 2: As a part of FISA-OPA’s routine process for reviewing and releasing Citywide Payroll Data, data for some agencies (specifically NYC Police Department (NYPD) and the District Attorneys’ Offices (Manhattan, Kings, Queens, Richmond, Bronx, and Special Narcotics)) have been redacted since they are exempt from disclosure pursuant to the Freedom of Information Law, POL § 87(2)(f), on the ground that disclosure of the information could endanger the life and safety of the public servants listed thereon. They are further exempt from disclosure pursuant to POL § 87(2)(e)(iii), on the ground that any release of the information would identify confidential sources or disclose confidential information relating to a criminal investigation, and POL § 87(2)(e)(iv), on the ground that disclosure would reveal non-routine criminal investigative techniques or procedures. Some of these redactions will appear as XXX in the name columns.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jun 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

Since 2011, the salary of registered nurses has been gradually increasing in the United States. By 2024, registered nurses in the U.S. had an average income of ****** US dollars compared to ****** in 2011. The average income of nurses decreased in 2012 and 2014, while in 2024, there was an increase of over ************* U.S. dollars from the previous year.

Nominal wage growth in both the European Union and the Euro currency area (comprising ** of the ** EU members) reached a record high in the second quarter of **, when wages increased by *** and *** percent respectively. This trend continued during 2023, with a wage increase of *** and *** percent during the third quarter of **. Nominal wage growth is the increase in wages compared to the same period the previous year in nominal values - i.e. in monetary values unadjusted for inflation. As inflation in Europe increase faster than nominal wages during this period, this in fact meant that real wages (increases adjusted for inflation) fell.

Wages In the Euro Area increased 3.40 percent in March of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Euro Area Wage Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The motivation behind analyzing salary data is to gain insights into compensation trends, identify factors that influence pay, and understand disparities across industries, locations, or job roles. For businesses, this analysis is crucial in shaping competitive compensation packages, attracting top talent, and ensuring fair pay practices. Additionally, individuals can benefit from understanding how their salaries compare to industry standards, aiding in negotiation strategies.

Context With increasing attention on pay transparency and equity, salary data has become a critical dataset for human resources departments, economists, and policymakers. Companies and industries alike need to assess compensation against benchmarks, inflation, and the evolving job market. Salary datasets often contain variables such as job titles, experience levels, education, locations, and industries, which are essential in determining pay structures. This analysis allows for a deeper dive into trends like gender pay gaps, regional disparities, and the impact of education or experience on earnings.

For the Kaggle community, salary datasets provide rich opportunities for performing exploratory data analysis, statistical modeling, and predictive analytics. It serves as a hands-on opportunity to practice data wrangling, feature engineering, and model building, especially in the realm of HR analytics.

Description This CSV file contains anonymized company salary data across various industries, roles, and locations. The dataset includes key variables such as:

Job Title: The role of the employee (e.g., Data Analyst, Software Engineer). Years of Experience: Number of years the employee has been in the workforce or industry. Education Level: The highest degree obtained by the employee (e.g., Bachelor's, Master's). Location: City or country where the employee works. Industry: The sector in which the company operates (e.g., Finance, Technology). Annual Salary: The employee’s yearly earnings, including bonuses or incentives. Gender: Gender identification of the employee (if available). Remote Work Percentage: The percentage of work conducted remotely, which may influence salary based on location independence. The dataset is perfect for understanding how salaries vary by job role, region, industry, and experience level. It can also be used to uncover trends such as salary growth over time, the impact of education or certifications on compensation, or potential gender pay gaps. Through data visualization, predictive models, and regression analysis, users can extract meaningful insights that could inform corporate strategy, HR policies, or even career decisions.