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Graph and download economic data for Nonfarm Business Sector: Labor Productivity (Output per Hour) for All Workers (OPHNFB) from Q1 1947 to Q1 2025 about per hour, output, headline figure, sector, nonfarm, business, real, persons, and USA.
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Productivity in the United States decreased to 115.49 points in the first quarter of 2025 from 115.73 points in the fourth quarter of 2024. This dataset provides - United States Productivity - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Graph and download economic data for Manufacturing Sector: Labor Productivity (MPU9900063) from 1988 to 2023 about productivity, sector, labor, manufacturing, rate, and USA.
In the United States, nonfarm business sector labor productivity increased by 2.2 percent in the third quarter of 2024. The data are seasonally adjusted at annual rates. Productivity is the output per hour of all persons.
The labor productivity index in Russia was the highest in the wholesale and retail trade sector at 105.8 percent in 2023. The lowest figure was recorded for mineral extraction, where the labor productivity index amounted to 95.6 percent. On average across all industries, the index was approximately 102 percent.
In 2023, the labor productivity in Vietnam reached 199.3 million Vietnamese dong per employed person at current prices, indicating a continuing growth in labor productivity. In the previous year, the labor force participation rate was at 73.42 percent in the country.
In 2023, the nominal labor productivity per hour worked in Japan was estimated at around 5,367.5 Japanese yen, representing the highest point in the last two decades. That year, the nominal labor productivity per worker in the country stood at around 8.6 million yen.
Labor productivity in Argentina, measured as output per worker in terms of GDP, has registered a negative annual growth rate from 2018 to 2021. In 2024, the growth rate of output per worker was a positive 1.8 percent.
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Key information about US Labour Productivity Growth
The Industry Productivity program produces annual measures of output per hour, unit labor costs, and related series for a select group of U.S. industries. Indexes and annual percent changes are available by industry for labor productivity (output per hour), output per person, real output, the implicit price deflator for output, labor hours, employment, labor compensation, and unit labor costs. Level data underlying the productivity and cost measures - including nominal value of production, labor compensation, total annual hours, and total annual employment - also are available. For more information and data visit: https://www.bls.gov/lpc/
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Mexico Labor Productivity Index: Average: 2008=100 data was reported at 97.532 2008=100 in Feb 2019. This records a decrease from the previous number of 100.496 2008=100 for Jan 2019. Mexico Labor Productivity Index: Average: 2008=100 data is updated monthly, averaging 103.730 2008=100 from Jan 2007 (Median) to Feb 2019, with 146 observations. The data reached an all-time high of 111.244 2008=100 in Oct 2014 and a record low of 91.437 2008=100 in Feb 2009. Mexico Labor Productivity Index: Average: 2008=100 data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.G062: Labour Productivity Index. This series can be obtained using this formula: Series Labor Productivity Index: Average: 2008=100 [ID: 324205701] = (IPI: Manufacturing Industries (Mfg) [ID: 292901004]/ Employment Index (EI): Manufacturing [ID: 256694502]) * 100
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China Labor Productivity: 2020P data was reported at 173,898.000 RMB/Person in 2024. This records an increase from the previous number of 165,752.000 RMB/Person for 2023. China Labor Productivity: 2020P data is updated yearly, averaging 143,803.000 RMB/Person from Dec 2017 (Median) to 2024, with 8 observations. The data reached an all-time high of 173,898.000 RMB/Person in 2024 and a record low of 115,104.000 RMB/Person in 2017. China Labor Productivity: 2020P data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GB: Labor Productivity.
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Graph and download economic data for Manufacturing Sector: Labor Productivity (Output per Hour) for All Workers (PRS30006091) from Q1 1988 to Q1 2025 about per hour, productivity, output, sector, manufacturing, real, persons, rate, and USA.
In 2022, India’s labor productivity growth rate was **** percent, a decline from the previous year. The growth rate of labor productivity has almost halved since 2011, having reached its peak in 2016. Labor productivity measures the hourly output of a country's economy, and its growth is based on human capital, saving, investing in physical capital, and the use of new technology. Do long work hours lead to better productivity? While many top executives in India have advocated working long hours, this has not positively correlated with labor productivity. According to economic theory, working long hours leads to diminishing returns. Long working hours also present an obstacle to upskilling, which is considered a low-pay trap for employees and the country. Reasons for low labor productivity in India Labor productivity, measuring the labor efficiency in producing goods and services, is an important indicator of economic growth, competitiveness, and living standards. Factors attributed to low productivity in India include deteriorating quality of labor rooted in the education system, skilling, and employability. A holistic approach addressing gaps in the education system, promoting technological advancements, and implementing comprehensive labor market reforms can enhance the country’s competitiveness and foster economic growth.
As of 2023, the preliminary labor productivity level in Indonesia reached approximately 88 million Indonesian rupiah per worker. The number experienced a decrease in 2020, but it has been gradually increasing since then. Labor productivity is one of the important economic indicators that is strongly related to the economic growth of a country.
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This paper estimates the impact of daily weather on worker productivity by using household survey data to study interviewers. Using data from over 9,000 Demographic and Health Survey interviewers in 46 countries, I find that interviewers complete 13.6 percent fewer interviews per hour on the hottest and most humid days. Workers maintain the same total output by starting earlier in the day and spending more time on each interview at the expense of spending more hours in the field with the same total pay. In addition, interviewers become differentially less productive on tasks that are less easily monitored. These findings are important not only because temperatures are predicted to rise significantly over the next century, but also because they shed light on how adaptation by workers to adverse conditions can be costly in ways not captured by aggregate productivity measures such as GDP.
This statistic shows the labor productivity per hour worked in Taiwan from 2010 to 2024. In 2024, the estimated labor productivity per hour in Taiwan reached approximately 59.04 U.S. dollars measured in 2017 constant U.S. dollars PPP.
In 2025, in the Asia-Pacific region, Singapore's labor productivity was projected to reach nearly 97 international dollars at purchasing power parity (PPP), while the labor productivity in Cambodia in 2025 was projected at close to four international dollars PPP.
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Key information about Indonesia Labour Productivity Growth
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United States Multifactor Productivity: Mfg: Labor Productivity data was reported at 97.783 2017=100 in 2022. This records a decrease from the previous number of 100.405 2017=100 for 2021. United States Multifactor Productivity: Mfg: Labor Productivity data is updated yearly, averaging 88.597 2017=100 from Dec 1987 (Median) to 2022, with 36 observations. The data reached an all-time high of 103.981 2017=100 in 2011 and a record low of 46.304 2017=100 in 1987. United States Multifactor Productivity: Mfg: Labor Productivity data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G106: Multifactor Productivity: Manufacturing Sector: 2017=100.
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Graph and download economic data for Nonfarm Business Sector: Labor Productivity (Output per Hour) for All Workers (OPHNFB) from Q1 1947 to Q1 2025 about per hour, output, headline figure, sector, nonfarm, business, real, persons, and USA.