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United States Nonfarm Productivity Quarter-over-Quarter (QoQ)

Price

2.1 %

Change +/-

+1.4 %

Percentage Change

+100.00 %

The current value of the Nonfarm Productivity Quarter-over-Quarter (QoQ) in United States is 2.1 %. The Nonfarm Productivity Quarter-over-Quarter (QoQ) in United States increased to 2.1 % on 6/1/2024, after it was 0.7 % on 3/1/2024. From 6/1/1947 to 9/1/2024, the average GDP in United States was 2.2 %. The all-time high was reached on 6/1/2020 with 20.2 %, while the lowest value was recorded on 9/1/1947 with -11.7 %.

Source: U.S. Bureau of Labor Statistics

Nonfarm Productivity Quarter-over-Quarter (QoQ) ·

3 years
5 years
10 years
25 Years
Max

Non-Agricultural Productivity QoQ

	Non-Agricultural Productivity QoQ
6/1/1947	9.4 %
12/1/1947	17.9 %
3/1/1948	1.8 %
9/1/1948	0.4 %
12/1/1948	1.8 %
3/1/1949	4.1 %
6/1/1949	4.2 %
9/1/1949	9.9 %
3/1/1950	14.4 %
6/1/1950	5 %
9/1/1950	9 %
12/1/1950	0.7 %
3/1/1951	0.4 %
9/1/1951	9.2 %
12/1/1951	1.2 %
3/1/1952	2.1 %
12/1/1952	8.8 %
3/1/1953	3.5 %
6/1/1953	1 %
9/1/1953	1.7 %
3/1/1954	0.8 %
6/1/1954	2.8 %
9/1/1954	7.4 %
12/1/1954	4.6 %
3/1/1955	8.1 %
6/1/1955	1.4 %
9/1/1955	1.5 %
6/1/1956	2 %
12/1/1956	4.4 %
3/1/1957	4.7 %
9/1/1957	5.8 %
12/1/1957	1.3 %
6/1/1958	7.9 %
9/1/1958	7.7 %
12/1/1958	7 %
3/1/1959	0.5 %
6/1/1959	3.9 %
9/1/1959	0.6 %
3/1/1960	9.7 %
9/1/1960	2.4 %
3/1/1961	5.3 %
6/1/1961	10.9 %
9/1/1961	7 %
12/1/1961	3.5 %
3/1/1962	6.7 %
9/1/1962	6.8 %
12/1/1962	3 %
3/1/1963	1.2 %
6/1/1963	3.1 %
9/1/1963	10.2 %
3/1/1964	2.5 %
6/1/1964	2.2 %
9/1/1964	4.2 %
3/1/1965	5.9 %
6/1/1965	1.9 %
9/1/1965	8.4 %
12/1/1965	7.1 %
3/1/1966	5.6 %
9/1/1966	1.3 %
12/1/1966	2.5 %
3/1/1967	3.2 %
6/1/1967	1.5 %
9/1/1967	2.1 %
12/1/1967	1.2 %
3/1/1968	9.2 %
6/1/1968	3.8 %
9/1/1968	0.2 %
3/1/1969	3.2 %
9/1/1969	0.4 %
3/1/1970	1.2 %
6/1/1970	6 %
9/1/1970	6.4 %
3/1/1971	12.4 %
6/1/1971	1.1 %
9/1/1971	3.8 %
3/1/1972	6.4 %
6/1/1972	8.1 %
9/1/1972	2.3 %
12/1/1972	3.4 %
3/1/1973	9.4 %
6/1/1973	0.1 %
12/1/1974	3.6 %
3/1/1975	3 %
6/1/1975	6.5 %
9/1/1975	5 %
12/1/1975	0.4 %
3/1/1976	6.1 %
6/1/1976	3.7 %
9/1/1976	0.9 %
12/1/1976	1.2 %
3/1/1977	2.6 %
6/1/1977	1.6 %
9/1/1977	4.3 %
3/1/1978	0.2 %
6/1/1978	8.2 %
9/1/1978	0.2 %
12/1/1978	2.7 %
3/1/1980	1.9 %
9/1/1980	1.6 %
12/1/1980	4.1 %
3/1/1981	6.3 %
9/1/1981	3.8 %
6/1/1982	0.1 %
9/1/1982	0.8 %
12/1/1982	3.6 %
3/1/1983	5.5 %
6/1/1983	9.1 %
9/1/1983	1 %
12/1/1983	2.3 %
3/1/1984	1.9 %
6/1/1984	2.2 %
9/1/1984	1.7 %
12/1/1984	0.4 %
3/1/1985	1.3 %
6/1/1985	1.3 %
9/1/1985	5.2 %
12/1/1985	1.6 %
3/1/1986	4.8 %
6/1/1986	3.2 %
9/1/1986	1.7 %
6/1/1987	2.7 %
9/1/1987	0.1 %
12/1/1987	4.1 %
3/1/1988	1.5 %
6/1/1988	1.1 %
9/1/1988	0.8 %
12/1/1988	0.4 %
3/1/1989	0.7 %
6/1/1989	1.2 %
9/1/1989	1.9 %
3/1/1990	3.8 %
6/1/1990	2.8 %
9/1/1990	1.3 %
3/1/1991	1.2 %
6/1/1991	6.7 %
9/1/1991	3.5 %
12/1/1991	1.9 %
3/1/1992	8.1 %
6/1/1992	3.5 %
9/1/1992	3.6 %
12/1/1992	2.4 %
9/1/1993	1.8 %
12/1/1993	1.6 %
3/1/1994	1.1 %
6/1/1994	0.4 %
12/1/1994	4.3 %
3/1/1995	0.3 %
6/1/1995	1.9 %
12/1/1995	2.2 %
3/1/1996	2.5 %
6/1/1996	3.9 %
9/1/1996	1.5 %
12/1/1996	0.4 %
6/1/1997	6.1 %
9/1/1997	3.3 %
12/1/1997	1.9 %
3/1/1998	3.7 %
6/1/1998	2.1 %
9/1/1998	5.6 %
12/1/1998	3.1 %
3/1/1999	5.6 %
6/1/1999	1.5 %
9/1/1999	3.7 %
12/1/1999	6 %
6/1/2000	8.3 %
12/1/2000	4.2 %
6/1/2001	7.1 %
9/1/2001	2.3 %
12/1/2001	5.1 %
3/1/2002	8.7 %
6/1/2002	0.6 %
9/1/2002	3.2 %
3/1/2003	4 %
6/1/2003	5.4 %
9/1/2003	9.2 %
12/1/2003	3.8 %
6/1/2004	4.2 %
9/1/2004	1.9 %
12/1/2004	1.7 %
3/1/2005	4.4 %
9/1/2005	2.8 %
3/1/2006	2.8 %
12/1/2006	2.6 %
3/1/2007	1.4 %
6/1/2007	1.2 %
9/1/2007	3.5 %
12/1/2007	3.1 %
6/1/2008	4.8 %
9/1/2008	1 %
3/1/2009	4.7 %
6/1/2009	9.5 %
9/1/2009	6.5 %
12/1/2009	5.5 %
3/1/2010	0.4 %
6/1/2010	1.3 %
9/1/2010	2.6 %
12/1/2010	1.3 %
6/1/2011	0.3 %
12/1/2011	1.9 %
3/1/2012	2 %
6/1/2012	2 %
3/1/2013	1.9 %
9/1/2013	2.9 %
12/1/2013	3.9 %
6/1/2014	2.7 %
9/1/2014	3.4 %
3/1/2015	2.3 %
6/1/2015	2 %
9/1/2015	1.1 %
3/1/2016	1.7 %
6/1/2016	0.2 %
9/1/2016	1.4 %
12/1/2016	2.7 %
3/1/2017	0.7 %
6/1/2017	0.2 %
9/1/2017	3.2 %
12/1/2017	3 %
3/1/2018	1.5 %
9/1/2018	1.2 %
3/1/2019	3.4 %
6/1/2019	2.4 %
9/1/2019	4.6 %
12/1/2019	3.8 %
6/1/2020	20.2 %
9/1/2020	6.2 %
3/1/2021	3.2 %
6/1/2021	0.2 %
12/1/2021	2.8 %
12/1/2022	2.9 %
3/1/2023	0.3 %
6/1/2023	3.7 %
9/1/2023	3.8 %
12/1/2023	3.1 %
3/1/2024	0.7 %
6/1/2024	2.1 %

Nonfarm Productivity Quarter-over-Quarter (QoQ) History

Date	Value
6/1/2024	2.1 %
3/1/2024	0.7 %
12/1/2023	3.1 %
9/1/2023	3.8 %
6/1/2023	3.7 %
3/1/2023	0.3 %
12/1/2022	2.9 %
12/1/2021	2.8 %
6/1/2021	0.2 %
3/1/2021	3.2 %
9/1/2020	6.2 %
6/1/2020	20.2 %
12/1/2019	3.8 %
9/1/2019	4.6 %
6/1/2019	2.4 %
3/1/2019	3.4 %
9/1/2018	1.2 %
3/1/2018	1.5 %
12/1/2017	3 %
9/1/2017	3.2 %
6/1/2017	0.2 %
3/1/2017	0.7 %
12/1/2016	2.7 %
9/1/2016	1.4 %
6/1/2016	0.2 %
3/1/2016	1.7 %
9/1/2015	1.1 %
6/1/2015	2 %
3/1/2015	2.3 %
9/1/2014	3.4 %
6/1/2014	2.7 %
12/1/2013	3.9 %
9/1/2013	2.9 %
3/1/2013	1.9 %
6/1/2012	2 %
3/1/2012	2 %
12/1/2011	1.9 %
6/1/2011	0.3 %
12/1/2010	1.3 %
9/1/2010	2.6 %
6/1/2010	1.3 %
3/1/2010	0.4 %
12/1/2009	5.5 %
9/1/2009	6.5 %
6/1/2009	9.5 %
3/1/2009	4.7 %
9/1/2008	1 %
6/1/2008	4.8 %
12/1/2007	3.1 %
9/1/2007	3.5 %
6/1/2007	1.2 %
3/1/2007	1.4 %
12/1/2006	2.6 %
3/1/2006	2.8 %
9/1/2005	2.8 %
3/1/2005	4.4 %
12/1/2004	1.7 %
9/1/2004	1.9 %
6/1/2004	4.2 %
12/1/2003	3.8 %
9/1/2003	9.2 %
6/1/2003	5.4 %
3/1/2003	4 %
9/1/2002	3.2 %
6/1/2002	0.6 %
3/1/2002	8.7 %
12/1/2001	5.1 %
9/1/2001	2.3 %
6/1/2001	7.1 %
12/1/2000	4.2 %
6/1/2000	8.3 %
12/1/1999	6 %
9/1/1999	3.7 %
6/1/1999	1.5 %
3/1/1999	5.6 %
12/1/1998	3.1 %
9/1/1998	5.6 %
6/1/1998	2.1 %
3/1/1998	3.7 %
12/1/1997	1.9 %
9/1/1997	3.3 %
6/1/1997	6.1 %
12/1/1996	0.4 %
9/1/1996	1.5 %
6/1/1996	3.9 %
3/1/1996	2.5 %
12/1/1995	2.2 %
6/1/1995	1.9 %
3/1/1995	0.3 %
12/1/1994	4.3 %
6/1/1994	0.4 %
3/1/1994	1.1 %
12/1/1993	1.6 %
9/1/1993	1.8 %
12/1/1992	2.4 %
9/1/1992	3.6 %
6/1/1992	3.5 %
3/1/1992	8.1 %
12/1/1991	1.9 %
9/1/1991	3.5 %
6/1/1991	6.7 %
3/1/1991	1.2 %
9/1/1990	1.3 %
6/1/1990	2.8 %
3/1/1990	3.8 %
9/1/1989	1.9 %
6/1/1989	1.2 %
3/1/1989	0.7 %
12/1/1988	0.4 %
9/1/1988	0.8 %
6/1/1988	1.1 %
3/1/1988	1.5 %
12/1/1987	4.1 %
9/1/1987	0.1 %
6/1/1987	2.7 %
9/1/1986	1.7 %
6/1/1986	3.2 %
3/1/1986	4.8 %
12/1/1985	1.6 %
9/1/1985	5.2 %
6/1/1985	1.3 %
3/1/1985	1.3 %
12/1/1984	0.4 %
9/1/1984	1.7 %
6/1/1984	2.2 %
3/1/1984	1.9 %
12/1/1983	2.3 %
9/1/1983	1 %
6/1/1983	9.1 %
3/1/1983	5.5 %
12/1/1982	3.6 %
9/1/1982	0.8 %
6/1/1982	0.1 %
9/1/1981	3.8 %
3/1/1981	6.3 %
12/1/1980	4.1 %
9/1/1980	1.6 %
3/1/1980	1.9 %
12/1/1978	2.7 %
9/1/1978	0.2 %
6/1/1978	8.2 %
3/1/1978	0.2 %
9/1/1977	4.3 %
6/1/1977	1.6 %
3/1/1977	2.6 %
12/1/1976	1.2 %
9/1/1976	0.9 %
6/1/1976	3.7 %
3/1/1976	6.1 %
12/1/1975	0.4 %
9/1/1975	5 %
6/1/1975	6.5 %
3/1/1975	3 %
12/1/1974	3.6 %
6/1/1973	0.1 %
3/1/1973	9.4 %
12/1/1972	3.4 %
9/1/1972	2.3 %
6/1/1972	8.1 %
3/1/1972	6.4 %
9/1/1971	3.8 %
6/1/1971	1.1 %
3/1/1971	12.4 %
9/1/1970	6.4 %
6/1/1970	6 %
3/1/1970	1.2 %
9/1/1969	0.4 %
3/1/1969	3.2 %
9/1/1968	0.2 %
6/1/1968	3.8 %
3/1/1968	9.2 %
12/1/1967	1.2 %
9/1/1967	2.1 %
6/1/1967	1.5 %
3/1/1967	3.2 %
12/1/1966	2.5 %
9/1/1966	1.3 %
3/1/1966	5.6 %
12/1/1965	7.1 %
9/1/1965	8.4 %
6/1/1965	1.9 %
3/1/1965	5.9 %
9/1/1964	4.2 %
6/1/1964	2.2 %
3/1/1964	2.5 %
9/1/1963	10.2 %
6/1/1963	3.1 %
3/1/1963	1.2 %
12/1/1962	3 %
9/1/1962	6.8 %
3/1/1962	6.7 %
12/1/1961	3.5 %
9/1/1961	7 %
6/1/1961	10.9 %
3/1/1961	5.3 %
9/1/1960	2.4 %
3/1/1960	9.7 %
9/1/1959	0.6 %
6/1/1959	3.9 %
3/1/1959	0.5 %
12/1/1958	7 %
9/1/1958	7.7 %
6/1/1958	7.9 %
12/1/1957	1.3 %
9/1/1957	5.8 %
3/1/1957	4.7 %
12/1/1956	4.4 %
6/1/1956	2 %
9/1/1955	1.5 %
6/1/1955	1.4 %
3/1/1955	8.1 %
12/1/1954	4.6 %
9/1/1954	7.4 %
6/1/1954	2.8 %
3/1/1954	0.8 %
9/1/1953	1.7 %
6/1/1953	1 %
3/1/1953	3.5 %
12/1/1952	8.8 %
3/1/1952	2.1 %
12/1/1951	1.2 %
9/1/1951	9.2 %
3/1/1951	0.4 %
12/1/1950	0.7 %
9/1/1950	9 %
6/1/1950	5 %
3/1/1950	14.4 %
9/1/1949	9.9 %
6/1/1949	4.2 %
3/1/1949	4.1 %
12/1/1948	1.8 %
9/1/1948	0.4 %
3/1/1948	1.8 %
12/1/1947	17.9 %
6/1/1947	9.4 %

...

Similar Macro Indicators to Nonfarm Productivity 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	221,000	218,000	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-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	1.9 %	2.4 %	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, nonfarm worker productivity is quantified as the output of goods and services per hour worked. Labor productivity is determined by dividing an index of real output by an index of hours worked for all individuals, which includes employees, proprietors, and unpaid family workers.

What is Nonfarm Productivity Quarter-over-Quarter (QoQ)?

Nonfarm Productivity QoQ: A Comprehensive Insight At Eulerpool, we delve deep into macroeconomic data to provide our users with an unparalleled understanding of key economic indicators. One such critical indicator in the realm of macroeconomics is Nonfarm Productivity Quarter over Quarter (QoQ). This metric is indispensable for policymakers, economists, and investors alike, providing a nuanced view of economic health and labor market efficiency. Nonfarm Productivity refers to the output of goods and services produced by the labor force outside the farming sector. The quarterly measurement of this productivity, abbreviated as Nonfarm Productivity QoQ, is pivotal in evaluating the short-term economic trends and labor efficiency. This metric excludes farm-related activities due to their seasonal nature and the volatility it introduces, thereby presenting a clearer picture of underlying economic performance. Understanding Nonfarm Productivity QoQ necessitates a grasp of productivity fundamentals. Productivity, at its core, is a measure of how efficiently inputs, particularly labor, are used to produce outputs. Higher productivity indicates that an economy produces more output per labor hour, which is typically associated with economic growth, higher wages, and improved standards of living. The calculation of Nonfarm Productivity QoQ involves the assessment of output per labor hour from one quarter to the next. This measurement is expressed as a percentage change, capturing the relative growth or decline in productivity over the three-month period. It is essential to consider that Nonfarm Productivity is influenced by several factors, including technological advancements, capital investments, workforce skills, and managerial efficiency. One prominent reason why Nonfarm Productivity QoQ is critically monitored is its correlation with broader economic conditions. For instance, a consistent increase in productivity suggests that businesses are investing in better technologies and processes, which can lead to sustained economic growth and competitiveness. On the contrary, a decline in productivity may signal inefficiencies, potential economic slowdowns, or issues in workforce management. Moreover, Nonfarm Productivity QoQ is closely linked to inflationary pressures. Higher productivity growth can mitigate inflation by enabling businesses to produce more without proportionally increasing input costs. This dynamic can lead to lower production costs, which may be passed on to consumers in the form of stable prices. Conversely, stagnant or declining productivity can exacerbate inflation as companies may face higher production costs, potentially leading to price hikes for goods and services. The relationship between Nonfarm Productivity QoQ and labor market conditions is also significant. For example, high productivity growth can contribute to wage increases, as businesses are able to generate more revenue per labor hour, providing scope for higher employee compensation. Furthermore, productivity improvements can lead to job creation, especially if businesses expand operations due to increased efficiency and output. Investors and financial markets keenly observe Nonfarm Productivity QoQ, as it often influences stock prices, bond yields, and foreign exchange rates. A positive productivity report can boost investor confidence, resulting in a stock market rally, whereas a negative report may trigger sell-offs due to fears of economic downturns. Moreover, productivity trends can impact central bank policies, particularly in interest rate decisions, as policymakers aim to balance economic growth with inflation control. At Eulerpool, we recognize the complexity and importance of Nonfarm Productivity QoQ data. Therefore, we strive to present this information in a detailed and accessible manner for our users. By offering historical data, trend analysis, and expert insights, we help our audience make informed decisions based on robust economic indicators. It is also crucial to highlight the broader implications of Nonfarm Productivity QoQ on economic policy-making. Governments and central banks often use productivity data to inform decisions on fiscal and monetary policies. Enhanced productivity growth can prompt policymakers to support initiatives that foster innovation, education, and infrastructure development, thereby ensuring long-term economic sustainability. Meanwhile, academicians and researchers utilize Nonfarm Productivity QoQ data to study economic cycles and develop theoretical models of economic growth and development. They analyze productivity trends to understand the underlying drivers of economic performance and propose policies to enhance productivity and overall economic welfare. In the context of international trade, Nonfarm Productivity QoQ reflects a country's competitive edge. Higher productivity levels can make a nation’s goods and services more attractive in the global market, leading to favorable trade balances and stronger economic positioning internationally. Thus, policymakers and trade analysts frequently monitor productivity trends to strategize on trade policies and bilateral agreements. For business leaders and managers, Nonfarm Productivity QoQ offers critical insights into operational efficiency. By benchmarking productivity levels, companies can identify areas needing improvement and implement strategies to optimize processes, invest in worker training, and adopt cutting-edge technologies. This not only enhances competitiveness but also ensures sustainable growth and profitability. Finally, for the general public, understanding Nonfarm Productivity QoQ is essential for grasping the broader economic environment. Greater awareness of productivity trends can inform individuals about potential job market conditions, wage growth prospects, and overall economic outlooks, empowering them to make better personal and financial decisions. In conclusion, Nonfarm Productivity QoQ is a vital macroeconomic indicator that encapsulates the efficiency and health of a country's nonfarm labor force. It serves as a barometer for economic growth, inflationary pressures, labor market conditions, and overall economic policies. At Eulerpool, we are committed to providing our users with comprehensive, accurate, and insightful data on Nonfarm Productivity QoQ, aiding them in their economic analysis and decision-making processes. By understanding this critical metric, stakeholders across various sectors can navigate the complexities of the economic landscape with greater confidence and precision.

Country

United States

Continent

America

Highest Value

20.2

Lowest Value

-11.7

Average Value

2.2

All Macro Indicators for United States

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