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.

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.

Introduction

Productivity In the Workplace Statistics: Employee productivity is very important for any business and affects how well it performs. With a standard 40-hour work week, employees contribute about 2,000 hours of work each year. How these hours are used can vary a lot. Measuring Productivity can be challenging, as it can depend on different factors like the job role, the company, and the industry.

We can examine Productivity from different perspectives to get a clearer picture. This report,†Productivity In the Workplace Statistics†, will show you how Productivity appears from both the employee's and the employer's viewpoints. You'll also learn how engagement, job satisfaction, and technology impact Productivity in the workplace.

In 2024, the real value-added per actual hour worked increased by *** percent. This was the first time in the last three years that the productivity in Singapore had shown growth.

The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file OECD-Productivity-Statistics-Database-metadata

Estimates for gross value added (GVA), hours worked and output per hour worked for whole economy and section level industries, as defined by the Standard Industrial Classification (SIC) 2007. Contains annual and quarterly statistics. Includes estimates for industry quarter on quarter, year on year and quarter on year contributions to whole economy output per hour worked.

This statistic shows the labor productivity per hour worked in China from 2005 to 2024. In 2024, the estimated labor productivity per hour in China reached **** dollars measured in 2017 constant U.S. dollars PPP.

Graph and download economic data for Manufacturing Sector: Hours Worked for All Workers (PRS30006032) from Q2 1987 to Q1 2025 about productivity, sector, hours, manufacturing, persons, rate, and USA.

The labour productivity is the ratio of gross domestic product (market prices in millions, chain-linked volumes reference year 2015) to total hours worked (domestic concept). The GDP per hour worked gives an indication of how much economic production activity can be attributed to each hour worked in the economy. Input data are obtained from the official national accounts' country data, through ESA 2010 transmission programme. The MIP indicator is expressed as 1-year percentage change.

Quarterly output per hour, output per job and output per worker for the whole UK economy and a range of industries.

Labour productivity and related measures by business sector industry and by non-commercial activity consistent with the industry accounts, provinces and territories, annual.

The average for 2022 based on 39 countries was 73.3 USD per hour worked. The highest value was in Ireland: 163.8 USD per hour worked and the lowest value was in Colombia: 21.6 USD per hour worked. The indicator is available from 1971 to 2023. Below is a chart for all countries where data are available.

The labour productivity is the ratio of gross domestic product at current price (nominal) to total hours worked by employees and self-employed (domestic concept). The GDP per hour worked gives an indication of how much economic production activity can be attributed to each hour worked in the economy. Input data are obtained from the official national accounts' country data, through ESA 2010 transmission programme. The MIP auxiliary indicator is expressed as 1-year percentage change. In the table, values are also expressed as index (2015=100).

Graph and download economic data for Business Sector: Hours Worked for All Workers (PRS84006032) from Q2 1947 to Q1 2025 about productivity, sector, hours, business, persons, rate, and USA.

This Alberta Official Statistic compares the Real Gross Domestic Product per hour worked (Chained 2007 dollars) in the business sector for Canada and all provinces for the years 2007 to 2014. It presents current information on labour productivity in Alberta and compares it with that of other provinces.

Turkey: GDP per hour worked in current USD, PPP adjusted: The latest value from 2021 is 53.4 USD per hour worked, a decline from 57 USD per hour worked in 2020. In comparison, the world average is 67.1 USD per hour worked, based on data from 40 countries. Historically, the average for Turkey from 1971 to 2021 is 20.4 USD per hour worked. The minimum value, 2.8 USD per hour worked, was reached in 1971 while the maximum of 57 USD per hour worked was recorded in 2020.

The labour productivity is the ratio of gross domestic product (market prices in millions, chain-linked volumes reference year 2015) to total hours worked (domestic concept). The GDP per hour worked gives an indication of how much economic production activity can be attributed to each hour worked in the economy. Input data are obtained from the official national accounts' country data, through ESA 2010 transmission programme. The MIP indicator is expressed as 1-year percentage change.

United States Productivity & Cost Index: saar: Mfg: Hours Worked data was reported at 99.976 2017=100 in Mar 2025. This records an increase from the previous number of 99.847 2017=100 for Dec 2024. United States Productivity & Cost Index: saar: Mfg: Hours Worked data is updated quarterly, averaging 111.672 2017=100 from Mar 1987 (Median) to Mar 2025, with 153 observations. The data reached an all-time high of 143.131 2017=100 in Mar 1989 and a record low of 87.873 2017=100 in Jun 2020. United States Productivity & Cost Index: saar: Mfg: Hours Worked 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.G094: Productivity and Costs Index: 2017=100: saar.

Key information about Indonesia Labour Productivity Growth

• Indonesia Labour Productivity dropped by 1.55 % YoY in Dec 2024, compared with a growth of 1.63 % in the previous year
• Indonesia Labour Productivity Growth data is updated yearly, available from Dec 2001 to Dec 2024, averaging at 2.87 %
• The data reached an all-time high of 5.56 % in Dec 2013 and a record low of -3.54 % in Dec 2020

CEIC calculates Labour Productivity Growth from annual Real GDP and annual Employment. CEIC shifts year-end for annual Employment. Statistics Indonesia provides Real GDP in local currency based on SNA 2008, at 2010 prices and Employment. Employment is reported in annual frequency, ending in August of each year. Employment excludes Foreign Nationals working within the country. Labour Productivity Growth prior to 2011 is calculated from Real GDP based on SNA 1993, at 2000 prices

United States Multifactor Productivity: Mfg: Hours Worked data was reported at 101.079 2017=100 in 2022. This records an increase from the previous number of 97.155 2017=100 for 2021. United States Multifactor Productivity: Mfg: Hours Worked data is updated yearly, averaging 112.493 2017=100 from Dec 1987 (Median) to 2022, with 36 observations. The data reached an all-time high of 142.350 2017=100 in 1989 and a record low of 91.375 2017=100 in 2009. United States Multifactor Productivity: Mfg: Hours Worked 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.G: Multifactor Productivity: Manufacturing Sector: 2017=100.