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The current value of the Average Hourly Earnings in United States is 0.2 %. The Average Hourly Earnings in United States decreased to 0.2 % on 4/1/2024, after it was 0.3 % on 3/1/2024. From 4/1/2006 to 5/1/2024, the average GDP in United States was 0.25 %. The all-time high was reached on 4/1/2020 with 4.3 %, while the lowest value was recorded on 6/1/2020 with -1.1 %.
Average Hourly Earnings ·
3 years
5 years
10 years
25 Years
Max
Average Hourly Earnings | |
---|---|
4/1/2006 | 0.5 % |
6/1/2006 | 0.5 % |
7/1/2006 | 0.3 % |
8/1/2006 | 0.1 % |
9/1/2006 | 0.4 % |
10/1/2006 | 0.1 % |
11/1/2006 | 0.3 % |
12/1/2006 | 0.4 % |
1/1/2007 | 0.1 % |
2/1/2007 | 0.4 % |
3/1/2007 | 0.2 % |
4/1/2007 | 0.2 % |
5/1/2007 | 0.3 % |
6/1/2007 | 0.5 % |
8/1/2007 | 0.2 % |
9/1/2007 | 0.2 % |
10/1/2007 | 0.1 % |
11/1/2007 | 0.3 % |
12/1/2007 | 0.2 % |
1/1/2008 | 0.1 % |
2/1/2008 | 0.3 % |
3/1/2008 | 0.5 % |
4/1/2008 | 0.1 % |
5/1/2008 | 0.4 % |
6/1/2008 | 0.2 % |
7/1/2008 | 0.4 % |
8/1/2008 | 0.5 % |
9/1/2008 | 0.1 % |
10/1/2008 | 0.2 % |
11/1/2008 | 0.5 % |
12/1/2008 | 0.3 % |
1/1/2009 | 0.1 % |
2/1/2009 | 0.1 % |
3/1/2009 | 0.3 % |
4/1/2009 | 0.1 % |
5/1/2009 | 0.1 % |
6/1/2009 | 0.1 % |
7/1/2009 | 0.2 % |
8/1/2009 | 0.2 % |
9/1/2009 | 0.2 % |
10/1/2009 | 0.1 % |
11/1/2009 | 0.2 % |
1/1/2010 | 0.2 % |
2/1/2010 | 0.2 % |
4/1/2010 | 0.1 % |
5/1/2010 | 0.2 % |
7/1/2010 | 0.3 % |
8/1/2010 | 0.1 % |
9/1/2010 | 0.2 % |
10/1/2010 | 0.3 % |
12/1/2010 | 0.1 % |
1/1/2011 | 0.4 % |
4/1/2011 | 0.2 % |
5/1/2011 | 0.3 % |
6/1/2011 | 0.1 % |
7/1/2011 | 0.4 % |
9/1/2011 | 0.2 % |
10/1/2011 | 0.3 % |
12/1/2011 | 0.1 % |
1/1/2012 | 0.1 % |
2/1/2012 | 0.1 % |
3/1/2012 | 0.3 % |
4/1/2012 | 0.1 % |
6/1/2012 | 0.3 % |
7/1/2012 | 0.2 % |
9/1/2012 | 0.4 % |
11/1/2012 | 0.3 % |
12/1/2012 | 0.4 % |
1/1/2013 | 0.1 % |
2/1/2013 | 0.1 % |
3/1/2013 | 0.1 % |
4/1/2013 | 0.3 % |
5/1/2013 | 0.1 % |
6/1/2013 | 0.3 % |
7/1/2013 | 0.1 % |
8/1/2013 | 0.2 % |
9/1/2013 | 0.2 % |
10/1/2013 | 0.1 % |
11/1/2013 | 0.3 % |
12/1/2013 | 0.1 % |
1/1/2014 | 0.2 % |
2/1/2014 | 0.4 % |
4/1/2014 | 0.1 % |
5/1/2014 | 0.2 % |
6/1/2014 | 0.2 % |
7/1/2014 | 0.1 % |
8/1/2014 | 0.2 % |
10/1/2014 | 0.1 % |
11/1/2014 | 0.3 % |
1/1/2015 | 0.5 % |
2/1/2015 | 0.2 % |
3/1/2015 | 0.3 % |
4/1/2015 | 0.1 % |
5/1/2015 | 0.3 % |
7/1/2015 | 0.1 % |
8/1/2015 | 0.4 % |
9/1/2015 | 0.1 % |
10/1/2015 | 0.3 % |
11/1/2015 | 0.2 % |
1/1/2016 | 0.6 % |
3/1/2016 | 0.3 % |
4/1/2016 | 0.3 % |
5/1/2016 | 0.2 % |
6/1/2016 | 0.2 % |
7/1/2016 | 0.3 % |
8/1/2016 | 0.1 % |
9/1/2016 | 0.2 % |
10/1/2016 | 0.5 % |
12/1/2016 | 0.1 % |
1/1/2017 | 0.3 % |
2/1/2017 | 0.3 % |
3/1/2017 | 0.2 % |
4/1/2017 | 0.2 % |
5/1/2017 | 0.2 % |
6/1/2017 | 0.2 % |
7/1/2017 | 0.4 % |
8/1/2017 | 0.1 % |
9/1/2017 | 0.4 % |
11/1/2017 | 0.2 % |
12/1/2017 | 0.3 % |
1/1/2018 | 0.5 % |
2/1/2018 | 0.1 % |
3/1/2018 | 0.4 % |
4/1/2018 | 0.2 % |
5/1/2018 | 0.3 % |
6/1/2018 | 0.2 % |
7/1/2018 | 0.2 % |
8/1/2018 | 0.4 % |
9/1/2018 | 0.4 % |
10/1/2018 | 0.2 % |
11/1/2018 | 0.3 % |
12/1/2018 | 0.4 % |
1/1/2019 | 0.1 % |
2/1/2019 | 0.4 % |
3/1/2019 | 0.3 % |
5/1/2019 | 0.3 % |
6/1/2019 | 0.3 % |
7/1/2019 | 0.3 % |
8/1/2019 | 0.4 % |
9/1/2019 | 0.1 % |
10/1/2019 | 0.2 % |
11/1/2019 | 0.4 % |
12/1/2019 | 0.1 % |
1/1/2020 | 0.2 % |
2/1/2020 | 0.4 % |
3/1/2020 | 0.8 % |
4/1/2020 | 4.3 % |
8/1/2020 | 0.3 % |
9/1/2020 | 0.1 % |
10/1/2020 | 0.1 % |
11/1/2020 | 0.3 % |
12/1/2020 | 0.9 % |
1/1/2021 | 0.1 % |
2/1/2021 | 0.4 % |
4/1/2021 | 0.5 % |
5/1/2021 | 0.6 % |
6/1/2021 | 0.5 % |
7/1/2021 | 0.4 % |
8/1/2021 | 0.4 % |
9/1/2021 | 0.6 % |
10/1/2021 | 0.6 % |
11/1/2021 | 0.3 % |
12/1/2021 | 0.5 % |
1/1/2022 | 0.7 % |
2/1/2022 | 0.1 % |
3/1/2022 | 0.6 % |
4/1/2022 | 0.3 % |
5/1/2022 | 0.4 % |
6/1/2022 | 0.4 % |
7/1/2022 | 0.4 % |
8/1/2022 | 0.3 % |
9/1/2022 | 0.3 % |
10/1/2022 | 0.5 % |
11/1/2022 | 0.4 % |
12/1/2022 | 0.3 % |
1/1/2023 | 0.4 % |
2/1/2023 | 0.2 % |
3/1/2023 | 0.5 % |
4/1/2023 | 0.4 % |
5/1/2023 | 0.3 % |
6/1/2023 | 0.5 % |
7/1/2023 | 0.4 % |
8/1/2023 | 0.2 % |
9/1/2023 | 0.3 % |
10/1/2023 | 0.3 % |
11/1/2023 | 0.4 % |
12/1/2023 | 0.3 % |
1/1/2024 | 0.5 % |
2/1/2024 | 0.2 % |
3/1/2024 | 0.3 % |
4/1/2024 | 0.2 % |
Average Hourly Earnings History
Date | Value |
---|---|
4/1/2024 | 0.2 % |
3/1/2024 | 0.3 % |
2/1/2024 | 0.2 % |
1/1/2024 | 0.5 % |
12/1/2023 | 0.3 % |
11/1/2023 | 0.4 % |
10/1/2023 | 0.3 % |
9/1/2023 | 0.3 % |
8/1/2023 | 0.2 % |
7/1/2023 | 0.4 % |
Similar Macro Indicators to Average Hourly Earnings
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 ADP Employment Change | 152,000 | 188,000 | Monthly |
🇺🇸 Announcements of Hiring Plans | 4,236 Persons | 9,802 Persons | Monthly |
🇺🇸 Average Hourly Earnings YoY | 4.1 % | 4 % | Monthly |
🇺🇸 Average Weekly Hours | 34.3 Hours | 34.3 Hours | Monthly |
🇺🇸 Cancellation rate | 2.2 % | 2.2 % | Monthly |
🇺🇸 Challenger Job Cuts | 55,597 Persons | 72,821 Persons | Monthly |
🇺🇸 Continued Jobless Claims | 1.875 M | 1.869 M | frequency_weekly |
🇺🇸 Employed persons | 161.496 M | 161.864 M | Monthly |
🇺🇸 Employment Cost Index | 1.2 % | 0.9 % | Quarter |
🇺🇸 Employment Cost Index Benefits | 1.1 % | 0.7 % | Quarter |
🇺🇸 Employment Cost Index Wages | 1.1 % | 1.1 % | Quarter |
🇺🇸 Employment rate | 60.1 % | 60.2 % | Monthly |
🇺🇸 Full-time employment | 133.496 M | 133.66 M | Monthly |
🇺🇸 Initial Jobless Claims | 216,000 | 228,000 | frequency_weekly |
🇺🇸 Job Opportunities | 8.14 M | 7.919 M | Monthly |
🇺🇸 Job Opportunities | 7.418 M | 7.939 M | Monthly |
🇺🇸 Job resignations | 3.459 M | 3.452 M | Monthly |
🇺🇸 Labor costs | 120.4 points | 120.1 points | Quarter |
🇺🇸 Labor force participation rate | 62.6 % | 62.7 % | Monthly |
🇺🇸 Layoffs and Terminations | 1.498 M | 1.678 M | Monthly |
🇺🇸 Long-term unemployment rate | 0.8 % | 0.74 % | Monthly |
🇺🇸 Manufacturing wages | -46,000 | -6,000 | Monthly |
🇺🇸 Minimum Wages | 7.25 USD/Hour | 7.25 USD/Hour | Annually |
🇺🇸 Non-Agricultural Productivity QoQ | 2.5 % | 0.4 % | Quarter |
🇺🇸 Non-farm Payrolls | 272,000 | 165,000 | Monthly |
🇺🇸 Nonfarm Private Employment | 229,000 | 158,000 | Monthly |
🇺🇸 Part-time work | 28.004 M | 27.718 M | Monthly |
🇺🇸 Population | 335.89 M | 334.13 M | Annually |
🇺🇸 Productivity | 111.909 points | 111.827 points | Quarter |
🇺🇸 Retirement Age Men | 66.67 Years | 66.5 Years | Annually |
🇺🇸 Retirement Age Women | 66.67 Years | 66.5 Years | Annually |
🇺🇸 State payroll accounting | 43,000 | 7,000 | Monthly |
🇺🇸 U6 Unemployment Rate | 7.4 % | 7.4 % | Monthly |
🇺🇸 Unemployed Persons | 6.984 M | 6.834 M | Monthly |
🇺🇸 Unemployment Claims 4-Week Average | 240,750 | 238,250 | frequency_weekly |
🇺🇸 Unemployment Rate | 4.1 % | 4.1 % | Monthly |
🇺🇸 Unit Labor Costs QoQ | 0.4 % | 3.8 % | Quarter |
🇺🇸 Wage Growth | 6.3 % | 6.4 % | Monthly |
🇺🇸 Wages | 29.99 USD/Hour | 29.85 USD/Hour | Monthly |
🇺🇸 Wages in Manufacturing | 28.1 USD/Hour | 27.98 USD/Hour | Monthly |
🇺🇸 Youth Unemployment Rate | 9.5 % | 9.2 % | Monthly |
In the United States, Average Hourly Earnings represent the average income employees receive per hour within a specific month. The Federal Reserve considers these earnings when determining whether to adjust interest rates.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Average Hourly Earnings?
Average Hourly Earnings is a pivotal metric in the landscape of macroeconomic indicators. At Eulerpool, we prioritize providing comprehensive and precise data to our users, and Average Hourly Earnings plays an integral role in understanding the broader economic scenario. This metric captures the average earnings per hour paid to employees, excluding those in managerial and professional occupations, reflecting the health and trends within the labor market. Average Hourly Earnings is a fundamental indicator of wage inflation and is closely monitored by economists, policymakers, and investors as it gives insight into the purchasing power of consumers. Increases in average hourly earnings often suggest that employees are receiving higher wages, which can lead to more spending and drive economic growth. Conversely, stagnant or falling earnings can indicate economic troubles, reduced consumer spending, and may signal potential deflationary pressures. From a policy perspective, central banks, such as the Federal Reserve, are especially attuned to changes in Average Hourly Earnings when making decisions regarding interest rates. Wage growth can trigger inflationary pressures, prompting central banks to raise interest rates to cool down an overheated economy. On the other hand, slow wage growth might lead to lower interest rates in an attempt to stimulate economic activity. For investors, Average Hourly Earnings provide critical insights into corporate profitability and stock market performance. Higher wages can lead to increased consumer spending, benefiting companies that sell consumer goods and services. However, they can also result in increased costs for companies, squeezing profit margins and potentially impacting stock valuations. This dual effect makes the metric a key consideration for investment decisions and portfolio management. Businesses use Average Hourly Earnings data to make strategic decisions regarding hiring, wage increases, and cost management. Understanding wage trends helps companies align their compensation strategies with industry standards and economic conditions, ensuring they remain competitive in attracting and retaining talent while managing labor costs effectively. Moreover, Average Hourly Earnings is essential for economic forecasting and planning. Governments use this data to predict tax revenues, plan social security benefits, and design fiscal policies. It also helps in understanding income distribution and economic disparities, guiding policies aimed at income equality and poverty alleviation. The calculation of Average Hourly Earnings involves aggregating total earnings of all employees and dividing by the total number of hours worked. This method ensures a comprehensive reflection of wage trends across different sectors and occupations, providing a clear picture of the labor market dynamics. Data is typically collected through surveys conducted by national statistical agencies, ensuring accuracy and reliability. At Eulerpool, we focus on presenting Average Hourly Earnings data in a user-friendly and accessible manner. Our platform provides detailed charts and graphs, historical data, and trend analysis, enabling users to delve deep into the intricacies of wage trends. We also offer comparison tools to analyze how Average Hourly Earnings vary across different regions, industries, and time periods, offering valuable insights for informed decision-making. Understanding the implications of changes in Average Hourly Earnings requires recognizing the broader economic context. For instance, an increase in wages might be a positive sign of economic recovery and robust labor demand. However, if wage growth outpaces productivity gains, it could lead to inflationary pressures, eroding purchasing power. Therefore, Average Hourly Earnings must be interpreted alongside other economic indicators such as productivity levels, employment rates, and inflation. The relationship between Average Hourly Earnings and other macroeconomic indicators is complex and multifaceted. For example, while higher wages can boost consumer spending, they may also lead to increased production costs for businesses. In sectors where labor costs constitute a significant portion of total expenses, rising wages can result in higher prices for goods and services, contributing to inflation. This nuanced interplay highlights the importance of a holistic approach in economic analysis. For the labor market, Average Hourly Earnings reflect the balance between labor supply and demand. Tight labor markets, where demand for workers exceeds supply, typically result in higher wages as employers compete for limited talent. Conversely, in periods of high unemployment, wage growth tends to stagnate or even decline. Monitoring these trends helps in understanding the dynamics of labor market equilibrium and the broader economic environment. In conclusion, Average Hourly Earnings is a critical macroeconomic indicator that offers valuable insights into wage trends, consumer spending, inflation, and overall economic health. At Eulerpool, we emphasize the importance of accurate and comprehensive data presentation, enabling users to make informed decisions based on reliable economic indicators. Whether you are an economist, policymaker, investor, business leader, or researcher, understanding Average Hourly Earnings empowers you to navigate the complexities of the economic landscape effectively. Our commitment is to provide you with the most relevant and precise data, ensuring you stay ahead in the ever-evolving world of macroeconomics.