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The current value of the Average Hourly Earnings Year-over-Year (YoY) in United States is 4 %. The Average Hourly Earnings Year-over-Year (YoY) in United States decreased to 4 % on 4/1/2024, after it was 4.1 % on 3/1/2024. From 3/1/2007 to 5/1/2024, the average GDP in United States was 3.08 %. The all-time high was reached on 4/1/2020 with 8 %, while the lowest value was recorded on 4/1/2021 with 0.7 %.
Average Hourly Earnings Year-over-Year (YoY) ·
3 years
5 years
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25 Years
Max
Average Hourly Earnings YoY | |
---|---|
3/1/2007 | 3.4 % |
4/1/2007 | 3.1 % |
5/1/2007 | 3.5 % |
6/1/2007 | 3.6 % |
7/1/2007 | 3.3 % |
8/1/2007 | 3.3 % |
9/1/2007 | 3.1 % |
10/1/2007 | 3.1 % |
11/1/2007 | 3.1 % |
12/1/2007 | 2.9 % |
1/1/2008 | 3 % |
2/1/2008 | 2.8 % |
3/1/2008 | 3 % |
4/1/2008 | 2.9 % |
5/1/2008 | 3 % |
6/1/2008 | 2.7 % |
7/1/2008 | 3.1 % |
8/1/2008 | 3.3 % |
9/1/2008 | 3.2 % |
10/1/2008 | 3.3 % |
11/1/2008 | 3.6 % |
12/1/2008 | 3.6 % |
1/1/2009 | 3.6 % |
2/1/2009 | 3.4 % |
3/1/2009 | 3.3 % |
4/1/2009 | 3.3 % |
5/1/2009 | 3 % |
6/1/2009 | 2.9 % |
7/1/2009 | 2.7 % |
8/1/2009 | 2.4 % |
9/1/2009 | 2.5 % |
10/1/2009 | 2.5 % |
11/1/2009 | 2.2 % |
12/1/2009 | 1.9 % |
1/1/2010 | 2 % |
2/1/2010 | 2.1 % |
3/1/2010 | 1.8 % |
4/1/2010 | 1.8 % |
5/1/2010 | 1.9 % |
6/1/2010 | 1.8 % |
7/1/2010 | 1.8 % |
8/1/2010 | 1.8 % |
9/1/2010 | 1.8 % |
10/1/2010 | 2 % |
11/1/2010 | 1.7 % |
12/1/2010 | 1.8 % |
1/1/2011 | 2 % |
2/1/2011 | 1.9 % |
3/1/2011 | 1.8 % |
4/1/2011 | 1.9 % |
5/1/2011 | 2 % |
6/1/2011 | 2.1 % |
7/1/2011 | 2.3 % |
8/1/2011 | 2 % |
9/1/2011 | 2 % |
10/1/2011 | 2 % |
11/1/2011 | 2 % |
12/1/2011 | 2 % |
1/1/2012 | 1.7 % |
2/1/2012 | 1.8 % |
3/1/2012 | 2.1 % |
4/1/2012 | 2.1 % |
5/1/2012 | 1.8 % |
6/1/2012 | 2 % |
7/1/2012 | 1.7 % |
8/1/2012 | 1.8 % |
9/1/2012 | 1.9 % |
10/1/2012 | 1.6 % |
11/1/2012 | 1.9 % |
12/1/2012 | 2.2 % |
1/1/2013 | 2.2 % |
2/1/2013 | 2.1 % |
3/1/2013 | 1.9 % |
4/1/2013 | 2.1 % |
5/1/2013 | 2.1 % |
6/1/2013 | 2.1 % |
7/1/2013 | 2 % |
8/1/2013 | 2.3 % |
9/1/2013 | 2.1 % |
10/1/2013 | 2.2 % |
11/1/2013 | 2.2 % |
12/1/2013 | 1.9 % |
1/1/2014 | 2 % |
2/1/2014 | 2.3 % |
3/1/2014 | 2.2 % |
4/1/2014 | 2 % |
5/1/2014 | 2.1 % |
6/1/2014 | 2.1 % |
7/1/2014 | 2.1 % |
8/1/2014 | 2.2 % |
9/1/2014 | 2 % |
10/1/2014 | 2 % |
11/1/2014 | 2.1 % |
12/1/2014 | 1.8 % |
1/1/2015 | 2.1 % |
2/1/2015 | 1.9 % |
3/1/2015 | 2.2 % |
4/1/2015 | 2.3 % |
5/1/2015 | 2.3 % |
6/1/2015 | 2.1 % |
7/1/2015 | 2.1 % |
8/1/2015 | 2.2 % |
9/1/2015 | 2.3 % |
10/1/2015 | 2.5 % |
11/1/2015 | 2.4 % |
12/1/2015 | 2.5 % |
1/1/2016 | 2.5 % |
2/1/2016 | 2.4 % |
3/1/2016 | 2.4 % |
4/1/2016 | 2.6 % |
5/1/2016 | 2.4 % |
6/1/2016 | 2.6 % |
7/1/2016 | 2.8 % |
8/1/2016 | 2.5 % |
9/1/2016 | 2.6 % |
10/1/2016 | 2.8 % |
11/1/2016 | 2.6 % |
12/1/2016 | 2.7 % |
1/1/2017 | 2.4 % |
2/1/2017 | 2.7 % |
3/1/2017 | 2.6 % |
4/1/2017 | 2.5 % |
5/1/2017 | 2.5 % |
6/1/2017 | 2.5 % |
7/1/2017 | 2.6 % |
8/1/2017 | 2.6 % |
9/1/2017 | 2.8 % |
10/1/2017 | 2.3 % |
11/1/2017 | 2.4 % |
12/1/2017 | 2.7 % |
1/1/2018 | 2.8 % |
2/1/2018 | 2.6 % |
3/1/2018 | 2.9 % |
4/1/2018 | 2.8 % |
5/1/2018 | 2.9 % |
6/1/2018 | 3 % |
7/1/2018 | 2.8 % |
8/1/2018 | 3.1 % |
9/1/2018 | 3.1 % |
10/1/2018 | 3.3 % |
11/1/2018 | 3.4 % |
12/1/2018 | 3.5 % |
1/1/2019 | 3.2 % |
2/1/2019 | 3.6 % |
3/1/2019 | 3.5 % |
4/1/2019 | 3.2 % |
5/1/2019 | 3.3 % |
6/1/2019 | 3.4 % |
7/1/2019 | 3.4 % |
8/1/2019 | 3.4 % |
9/1/2019 | 3.1 % |
10/1/2019 | 3.1 % |
11/1/2019 | 3.3 % |
12/1/2019 | 3 % |
1/1/2020 | 3.1 % |
2/1/2020 | 3 % |
3/1/2020 | 3.5 % |
4/1/2020 | 8 % |
5/1/2020 | 6.7 % |
6/1/2020 | 5.1 % |
7/1/2020 | 4.9 % |
8/1/2020 | 4.8 % |
9/1/2020 | 4.8 % |
10/1/2020 | 4.6 % |
11/1/2020 | 4.5 % |
12/1/2020 | 5.4 % |
1/1/2021 | 5.2 % |
2/1/2021 | 5.3 % |
3/1/2021 | 4.5 % |
4/1/2021 | 0.7 % |
5/1/2021 | 2.3 % |
6/1/2021 | 3.9 % |
7/1/2021 | 4.3 % |
8/1/2021 | 4.4 % |
9/1/2021 | 4.9 % |
10/1/2021 | 5.5 % |
11/1/2021 | 5.4 % |
12/1/2021 | 5 % |
1/1/2022 | 5.7 % |
2/1/2022 | 5.3 % |
3/1/2022 | 5.9 % |
4/1/2022 | 5.8 % |
5/1/2022 | 5.6 % |
6/1/2022 | 5.4 % |
7/1/2022 | 5.5 % |
8/1/2022 | 5.4 % |
9/1/2022 | 5.1 % |
10/1/2022 | 5 % |
11/1/2022 | 5.1 % |
12/1/2022 | 4.9 % |
1/1/2023 | 4.6 % |
2/1/2023 | 4.7 % |
3/1/2023 | 4.6 % |
4/1/2023 | 4.7 % |
5/1/2023 | 4.6 % |
6/1/2023 | 4.7 % |
7/1/2023 | 4.7 % |
8/1/2023 | 4.5 % |
9/1/2023 | 4.5 % |
10/1/2023 | 4.3 % |
11/1/2023 | 4.3 % |
12/1/2023 | 4.3 % |
1/1/2024 | 4.4 % |
2/1/2024 | 4.3 % |
3/1/2024 | 4.1 % |
4/1/2024 | 4 % |
Average Hourly Earnings Year-over-Year (YoY) History
Date | Value |
---|---|
4/1/2024 | 4 % |
3/1/2024 | 4.1 % |
2/1/2024 | 4.3 % |
1/1/2024 | 4.4 % |
12/1/2023 | 4.3 % |
11/1/2023 | 4.3 % |
10/1/2023 | 4.3 % |
9/1/2023 | 4.5 % |
8/1/2023 | 4.5 % |
7/1/2023 | 4.7 % |
Similar Macro Indicators to Average Hourly Earnings Year-over-Year (YoY)
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 | 0.4 % | 0.2 % | 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 mean income that employees earn per hour within a specified month. The Federal Reserve considers this metric when determining whether to adjust interest rates. Eulerpool provides detailed insights on this economic indicator.
Macro pages for other countries in America
- 🇦🇷Argentina
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- 🇨🇱Chile
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- 🇩🇴Dominican Republic
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- 🇩🇲Dominica
- 🇬🇩Grenada
What is Average Hourly Earnings Year-over-Year (YoY)?
At Eulerpool, we pride ourselves on delivering precise and comprehensive macroeconomic data to professionals, researchers, and enthusiasts alike. One of our critical categories of interest is 'Average Hourly Earnings YoY' (Year over Year). This metric is especially significant as it offers an insightful glimpse into the trends and changes within an economy’s labor market, influencing investment decisions, monetary policy considerations, and economic forecasting. 'Average Hourly Earnings YoY' measures the percentage change in average earnings per hour worked from one year to the next. This key economic indicator reflects labor income trends, which are instrumental in understanding the broader economic health. As wages are a primary source of income for most consumers, increases or decreases in hourly earnings have direct implications on consumer spending, savings rates, and overall economic activity. An upward trend in the 'Average Hourly Earnings YoY' typically signals that workers are earning more, which can point to stronger consumer purchasing power. This incremental income tends to result in higher consumer spending, which then fuels economic growth. Retail sectors, for example, may see an uptick in sales as people have more disposable income. This pattern can stimulate further production, potentially leading to job creation and additional economic benefits. Conversely, if the average hourly earnings increase at a rate that significantly outpaces productivity growth, it might lead to inflationary pressures. Businesses, facing higher wage costs, often pass these costs onto consumers in the form of higher prices. Consequently, central banks and policymakers closely monitor the 'Average Hourly Earnings YoY' as they formulate monetary policy. For instance, if wage growth is deemed too robust, a central bank might consider tightening monetary policy to prevent the economy from overheating. On the flip side, stagnant or declining 'Average Hourly Earnings YoY' can be indicative of a sluggish labor market. This scenario may arise from an oversupply of labor or weak demand for labor, both of which can dampen consumer spending and retard economic growth. In such situations, policymakers might deploy stimulus measures to invigorate the economy, such as lowering interest rates or increasing fiscal spending. From an investment perspective, 'Average Hourly Earnings YoY' is a vital barometer. Investors and financial analysts scrutinize this data to gauge economic momentum. For instance, robust earnings growth can propel stock markets as it boosts corporate profits and signals a healthy economy. On the other hand, if wage growth is sluggish, it might indicate challenging times ahead for companies and investors might become more risk-averse. Breaking down the 'Average Hourly Earnings YoY' data by industry, sector, or geographic region adds another layer of analytic depth. Certain sectors might exhibit higher wage growth due to specific supply-demand dynamics within the labor market. For example, a surge in technology sector wages could indicate a shortage of skilled tech workers, prompting businesses to offer competitive salaries to attract talent. Meanwhile, sectors like manufacturing may experience slower wage growth due to automation and offshoring. For businesses, understanding trends in 'Average Hourly Earnings YoY' is crucial for strategic planning. Workforce wage trends impact budgeting, pricing strategies, and workforce retention policies. Companies operating in industries with rapid wage growth might face challenges in maintaining profit margins unless they can enhance efficiency or pass costs onto consumers. Conversely, industries with slower wage growth might find it easier to maintain competitive pricing but could face higher employee turnover rates if workers seek better opportunities elsewhere. Moreover, 'Average Hourly Earnings YoY' can vary significantly across different regions within a country. Regions with robust economic activities, such as major metropolitan areas, often exhibit higher wage growth compared to rural areas. For local governments and regional planners, analyzing these trends aids in economic development strategies, such as attracting businesses or providing training programs to match labor market demands. Furthermore, trends in 'Average Hourly Earnings YoY' over time can reveal cyclical and structural economic changes. During economic expansions, average hourly earnings tend to rise as businesses compete for labor talent. During contractions, wage growth often slows down or stagnates as businesses cut costs and reduce payrolls. Thus, long-term analysis can help distinguish between short-term fluctuations and longer-term structural shifts in the economy. At Eulerpool, we meticulously gather and present 'Average Hourly Earnings YoY' data, ensuring that it is up-to-date, accurate, and easily accessible. Our platform provides users with interactive tools to track, compare, and analyze wage trends across multiple dimensions, offering valuable insights for a variety of stakeholders, from policymakers to investors to business leaders. In conclusion, 'Average Hourly Earnings YoY' is far more than a mere statistic. It is a critical indicator of the labor market's health, consumer spending potential, and overall economic trajectory. By providing a nuanced understanding of this metric, we empower our users to make informed decisions and formulate strategies that align with economic realities. At Eulerpool, we are committed to offering the highest quality data and insights, acting as a trusted partner in your economic analysis and decision-making.