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Subscribe for $2 United States Unit Labour Costs Quarter-over-Quarter (QoQ)
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The current value of the Unit Labour Costs Quarter-over-Quarter (QoQ) in United States is 2.4 %. The Unit Labour Costs Quarter-over-Quarter (QoQ) in United States decreased to 2.4 % on 6/1/2024, after it was 8.5 % on 3/1/2024. From 6/1/1947 to 9/1/2024, the average GDP in United States was 2.86 %. The all-time high was reached on 9/1/1947 with 27.3 %, while the lowest value was recorded on 3/1/2009 with -14.3 %.
Unit Labour Costs Quarter-over-Quarter (QoQ) ·
3 years
5 years
10 years
25 Years
Max
Unit Labor Costs QoQ | |
---|---|
9/1/1947 | 27.3 % |
3/1/1948 | 7.8 % |
6/1/1948 | 6.6 % |
9/1/1948 | 8 % |
12/1/1948 | 2.2 % |
12/1/1949 | 1 % |
6/1/1950 | 3.8 % |
12/1/1950 | 9.6 % |
3/1/1951 | 9.5 % |
6/1/1951 | 10.5 % |
12/1/1951 | 6.6 % |
3/1/1952 | 2.2 % |
6/1/1952 | 3.9 % |
9/1/1952 | 7.1 % |
12/1/1952 | 1.6 % |
3/1/1953 | 1.1 % |
6/1/1953 | 3.8 % |
9/1/1953 | 2.6 % |
12/1/1953 | 5.4 % |
3/1/1954 | 2.5 % |
6/1/1955 | 2 % |
9/1/1955 | 5.7 % |
12/1/1955 | 5.2 % |
3/1/1956 | 11.7 % |
6/1/1956 | 5.8 % |
9/1/1956 | 6.3 % |
12/1/1956 | 2.5 % |
3/1/1957 | 1.1 % |
6/1/1957 | 5.7 % |
12/1/1957 | 4.1 % |
3/1/1958 | 5.7 % |
9/1/1958 | 1.7 % |
3/1/1959 | 3.5 % |
9/1/1959 | 1.8 % |
12/1/1959 | 5.2 % |
6/1/1960 | 9.3 % |
12/1/1960 | 7.2 % |
6/1/1962 | 4.4 % |
12/1/1962 | 0.7 % |
3/1/1963 | 2.8 % |
12/1/1963 | 4.9 % |
6/1/1964 | 2.3 % |
9/1/1964 | 1.2 % |
12/1/1964 | 7 % |
6/1/1965 | 0.8 % |
3/1/1966 | 1.5 % |
6/1/1966 | 9.5 % |
9/1/1966 | 4.5 % |
12/1/1966 | 2.9 % |
3/1/1967 | 2.2 % |
6/1/1967 | 5.1 % |
9/1/1967 | 3.4 % |
12/1/1967 | 4.4 % |
3/1/1968 | 1.8 % |
6/1/1968 | 2.8 % |
9/1/1968 | 6.5 % |
12/1/1968 | 9.2 % |
3/1/1969 | 2.3 % |
6/1/1969 | 10.2 % |
9/1/1969 | 6.9 % |
12/1/1969 | 10.1 % |
3/1/1970 | 6.1 % |
6/1/1970 | 0.5 % |
9/1/1970 | 0.2 % |
12/1/1970 | 7.9 % |
6/1/1971 | 4.8 % |
9/1/1971 | 1.7 % |
12/1/1971 | 6.4 % |
3/1/1972 | 4.9 % |
9/1/1972 | 3 % |
12/1/1972 | 4.2 % |
3/1/1973 | 1.5 % |
6/1/1973 | 5.5 % |
9/1/1973 | 11.2 % |
12/1/1973 | 11.1 % |
3/1/1974 | 10.5 % |
6/1/1974 | 12.1 % |
9/1/1974 | 17.1 % |
12/1/1974 | 7.5 % |
3/1/1975 | 9.2 % |
6/1/1975 | 2.1 % |
9/1/1975 | 2.2 % |
12/1/1975 | 6.3 % |
3/1/1976 | 1.8 % |
6/1/1976 | 3.9 % |
9/1/1976 | 7.6 % |
12/1/1976 | 7.5 % |
3/1/1977 | 5.1 % |
6/1/1977 | 6.7 % |
9/1/1977 | 3.6 % |
12/1/1977 | 12.7 % |
3/1/1978 | 10.8 % |
9/1/1978 | 7.6 % |
12/1/1978 | 7.5 % |
3/1/1979 | 14.8 % |
6/1/1979 | 10.3 % |
9/1/1979 | 9.7 % |
12/1/1979 | 11 % |
3/1/1980 | 9.6 % |
6/1/1980 | 16 % |
9/1/1980 | 8.8 % |
12/1/1980 | 6.7 % |
3/1/1981 | 3.9 % |
6/1/1981 | 12.8 % |
9/1/1981 | 5.2 % |
12/1/1981 | 11.4 % |
3/1/1982 | 13.2 % |
6/1/1982 | 3 % |
9/1/1982 | 5.5 % |
12/1/1982 | 2.4 % |
9/1/1983 | 1.2 % |
12/1/1983 | 2.3 % |
3/1/1984 | 2.7 % |
6/1/1984 | 2 % |
9/1/1984 | 4.2 % |
12/1/1984 | 2.8 % |
3/1/1985 | 3.8 % |
6/1/1985 | 2.5 % |
9/1/1985 | 0.8 % |
12/1/1985 | 6.1 % |
3/1/1986 | 1 % |
6/1/1986 | 1.5 % |
9/1/1986 | 3.3 % |
12/1/1986 | 6.4 % |
3/1/1987 | 3.7 % |
6/1/1987 | 0.2 % |
9/1/1987 | 4.1 % |
12/1/1987 | 0.7 % |
3/1/1988 | 5.5 % |
6/1/1988 | 3.8 % |
9/1/1988 | 4.2 % |
12/1/1988 | 2.6 % |
3/1/1989 | 0.4 % |
6/1/1989 | 0.5 % |
9/1/1989 | 1.7 % |
12/1/1989 | 5.8 % |
3/1/1990 | 3.9 % |
6/1/1990 | 5.1 % |
9/1/1990 | 4 % |
12/1/1990 | 7.4 % |
3/1/1991 | 1.1 % |
6/1/1991 | 1.1 % |
9/1/1991 | 1.3 % |
12/1/1991 | 3.5 % |
3/1/1992 | 2.5 % |
6/1/1992 | 0.3 % |
9/1/1992 | 1 % |
3/1/1993 | 0.5 % |
6/1/1993 | 5.5 % |
12/1/1993 | 1.3 % |
6/1/1994 | 3 % |
9/1/1994 | 2.2 % |
3/1/1995 | 2.1 % |
6/1/1995 | 1.4 % |
9/1/1995 | 2.2 % |
12/1/1995 | 1.1 % |
3/1/1996 | 1.9 % |
9/1/1996 | 1.6 % |
12/1/1996 | 2 % |
3/1/1997 | 5.5 % |
9/1/1997 | 0.7 % |
12/1/1997 | 5.4 % |
3/1/1998 | 3.1 % |
6/1/1998 | 3 % |
9/1/1998 | 1 % |
3/1/1999 | 1.6 % |
6/1/1999 | 0.2 % |
12/1/1999 | 2.1 % |
3/1/2000 | 16.7 % |
9/1/2000 | 8.4 % |
3/1/2001 | 11.7 % |
6/1/2002 | 3 % |
12/1/2002 | 1.4 % |
6/1/2003 | 1.8 % |
12/1/2003 | 1.9 % |
3/1/2004 | 0.4 % |
6/1/2004 | 3.5 % |
9/1/2004 | 5.7 % |
6/1/2005 | 3.1 % |
9/1/2005 | 2.6 % |
12/1/2005 | 2.3 % |
3/1/2006 | 4.8 % |
6/1/2006 | 1.1 % |
9/1/2006 | 1.9 % |
12/1/2006 | 3.7 % |
3/1/2007 | 7.9 % |
12/1/2007 | 1.7 % |
3/1/2008 | 6.6 % |
9/1/2008 | 3.2 % |
12/1/2008 | 7.6 % |
6/1/2009 | 1.3 % |
6/1/2010 | 3.5 % |
12/1/2010 | 0.1 % |
3/1/2011 | 11.1 % |
9/1/2011 | 4 % |
3/1/2012 | 7.7 % |
9/1/2012 | 1.1 % |
12/1/2012 | 12.4 % |
6/1/2013 | 3.7 % |
3/1/2014 | 11.5 % |
12/1/2014 | 5.9 % |
3/1/2015 | 2.4 % |
6/1/2015 | 1.6 % |
9/1/2015 | 1.4 % |
12/1/2015 | 1.7 % |
6/1/2016 | 1.2 % |
9/1/2016 | 0.4 % |
12/1/2016 | 1.6 % |
3/1/2017 | 3.4 % |
6/1/2017 | 2.3 % |
9/1/2017 | 1.9 % |
12/1/2017 | 2.4 % |
3/1/2018 | 1.1 % |
6/1/2018 | 2 % |
9/1/2018 | 2.8 % |
12/1/2018 | 2.1 % |
3/1/2019 | 6.2 % |
12/1/2019 | 3.2 % |
3/1/2020 | 11.9 % |
6/1/2020 | 3.8 % |
12/1/2020 | 14.1 % |
6/1/2021 | 6.3 % |
9/1/2021 | 8 % |
12/1/2021 | 2.9 % |
3/1/2022 | 6.9 % |
6/1/2022 | 3.7 % |
9/1/2022 | 7.4 % |
3/1/2023 | 3.5 % |
6/1/2023 | 2.6 % |
9/1/2023 | 1.2 % |
12/1/2023 | 0.9 % |
3/1/2024 | 8.5 % |
6/1/2024 | 2.4 % |
Unit Labour Costs Quarter-over-Quarter (QoQ) History
Date | Value |
---|---|
6/1/2024 | 2.4 % |
3/1/2024 | 8.5 % |
12/1/2023 | 0.9 % |
9/1/2023 | 1.2 % |
6/1/2023 | 2.6 % |
3/1/2023 | 3.5 % |
9/1/2022 | 7.4 % |
6/1/2022 | 3.7 % |
3/1/2022 | 6.9 % |
12/1/2021 | 2.9 % |
Similar Macro Indicators to Unit Labour Costs Quarter-over-Quarter (QoQ)
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 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 | 217,000 | 221,000 | 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 | 121.983 points | 121.397 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 | 2.2 % | 2.1 % | 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 |
🇺🇸 Wage Growth | 6.4 % | 6.5 % | Monthly |
🇺🇸 Wages | 29.99 USD/Hour | 29.85 USD/Hour | Monthly |
🇺🇸 Wages in Manufacturing | 28.19 USD/Hour | 28.12 USD/Hour | Monthly |
🇺🇸 Youth Unemployment Rate | 9.5 % | 9.2 % | Monthly |
Unit Labour Costs (ULC) represent the relationship between compensation per hour and labor productivity, or real output per hour, serving as an indicator of inflationary pressure on producers.
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 Unit Labour Costs Quarter-over-Quarter (QoQ)?
Unit Labour Costs (ULC) is a critical economic indicator that measures the average cost of labor per unit of output produced. Understanding this metric is essential for businesses, policymakers, and economists as it provides insight into labor market dynamics and production efficiency within an economy. The ULC is typically expressed in terms of a percentage change from one quarter to another, known as the Quarter-on-Quarter (QoQ) growth rate. This quarterly perspective is particularly valuable as it captures short-term fluctuations and seasonal adjustments, offering a more immediate view of labor cost trends. Unit Labour Costs are calculated by dividing the nominal labor costs—total wages and salaries including employers’ social contributions—by real output, which is the Gross Domestic Product (GDP) adjusted for inflation. Therefore, the QoQ changes in ULC reflect both variations in compensation levels and productivity shifts. When labor costs rise faster than productivity, ULC increases, indicating that each unit of output is becoming more expensive to produce. Conversely, if productivity improves more rapidly than labor costs, ULC declines, suggesting enhanced production efficiency. In the context of macroeconomic analysis, the relevance of ULC cannot be overstated. It serves as a key determinant of inflationary pressures since higher labor costs often translate into higher prices for goods and services if companies pass these costs onto consumers. Central banks and financial markets closely monitor ULC trends to anticipate inflationary trends and make informed decisions regarding monetary policy. Stable or declining ULC can signal stable inflation, potentially leading to lower interest rates and supportive economic conditions. On the other hand, rapidly rising ULC may prompt central banks to consider tightening monetary policy to curtail inflation. For businesses, understanding ULC trends is equally important. Companies operating in labor-intensive industries are particularly sensitive to changes in labor costs as they directly affect profit margins. An increase in ULC implies higher production costs, which may necessitate raising product prices to maintain profitability, potentially impacting competitiveness. Conversely, a decrease in ULC can enhance a firm’s competitive position by enabling lower prices or higher margins. Therefore, companies often analyze ULC alongside productivity metrics to optimize cost structures and investment strategies. Furthermore, ULC is a critical metric for wage negotiations and employment policies. If ULC rises due to increasing wages unaccompanied by productivity gains, it could suggest that wage growth is outpacing the economy’s ability to absorb these costs, potentially leading to job cuts or reduced hiring. In contrast, when productivity gains match or exceed wage increases, it sustains employment growth and economic stability. Thus, labor unions, employers, and policymakers utilize ULC data to strike a balance between fair compensation and maintaining employment levels. On an international scale, ULC comparisons across countries reveal competitive dynamics in the global economy. Economies with lower ULCs are often more competitive, as they can produce goods and services at a lower cost, boosting export potential. Conversely, higher ULCs may indicate less competitive industries unless offset by superior product quality or innovation. For instance, countries experiencing rapid ULC growth relative to trading partners might see their exports become less attractive in international markets, potentially leading to trade imbalances and economic adjustments. Moreover, ULC trends offer insights into structural changes within the labor market and overall economy. Sectors such as technology, which often see rapid productivity improvements, might display different ULC patterns compared to more traditional industries like manufacturing. Analyzing these trends helps identify shifts in economic activity, guide workforce development policies, and inform investment decisions in specific sectors. At Eulerpool, our mission is to provide accurate and comprehensive macroeconomic data, and ULC is a fundamental component of our offering. Our platform enables users to track ULC trends over various periods, compare across industries and countries, and integrate this data into broader economic analyses. By offering detailed ULC data, we empower businesses and policymakers to make informed, strategic decisions based on robust economic insights. For instance, an in-depth analysis of ULC can help identify inflationary trends earlier than traditional metrics, offering a leading indicator for price stability. Our data can assist central banks in preemptive policy adjustments, ensuring economic stability. Similarly, businesses can leverage our ULC data to refine their operational strategies, optimize resource allocation, and enhance competitive positioning in both domestic and international markets. Additionally, for academic researchers and economic analysts, Eulerpool’s ULC data serves as a vital resource for empirical studies and policy evaluations. Understanding the nuances of labor cost dynamics and productivity interrelations is essential for building economic models, forecasting economic outcomes, and advising on economic policy. In conclusion, Unit Labour Costs QoQ is an indispensable economic indicator that captures the complex interplay between labor costs and productivity. Its implications span inflation monitoring, business profitability, wage policies, and international competitiveness. At Eulerpool, we are committed to providing detailed and reliable ULC data to support informed decision-making across the economic spectrum. By understanding ULC trends, users can gain deeper insights into economic health, labor market efficiency, and the overall competitive landscape.