This statistic illustrates the percentage change of labor productivity in the global construction industry from 2005 to 2015, broken down by select country. The labor productivity in the construction industry in Malaysia increased by *** percent, based on compound annual growth rate of the real gross value added per hour worked by persons engaged.

China Construction: Labour Productivity: GOV: Year to Date data was reported at 156,135.000 RMB/Person in Mar 2025. This records a decrease from the previous number of 547,630.000 RMB/Person for Dec 2024. China Construction: Labour Productivity: GOV: Year to Date data is updated quarterly, averaging 153,755.000 RMB/Person from Jun 2003 (Median) to Mar 2025, with 87 observations. The data reached an all-time high of 547,630.000 RMB/Person in Dec 2024 and a record low of 23,175.250 RMB/Person in Mar 2004. China Construction: Labour Productivity: GOV: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Construction Sector – Table CN.EE: Construction Enterprise: Labour Productivity: Gross Output Value Base.

In financial year 2024, the labor productivity index (LPI) of the construction industry in Australia amounted to 103.97 compared to the base year of 2023.

Construction: Labour Productivity: Value Added: Hebei data was reported at 51,686.791 RMB/Person in 2017. This records a decrease from the previous number of 52,996.458 RMB/Person for 2016. Construction: Labour Productivity: Value Added: Hebei data is updated yearly, averaging 15,169.000 RMB/Person from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 63,505.000 RMB/Person in 2013 and a record low of 3,782.000 RMB/Person in 1989. Construction: Labour Productivity: Value Added: Hebei data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Construction Sector – Table CN.EE: Construction Enterprise: Labour Productivity: Value Added Base.

These tables show quarterly data of the number of productive hours per employee in the construction of buildings. The number of productive hours is calculated by reducing the number of theoretically available hours with the number of non-productive hours due to holidays, sickness absence, strikes, frost and precipitation delays, etc. All figures are rounded off to the nearest 5 hours.

Data available from: 1st quarter of 1990.

Status of the figures: The data of all quarters are definite.

Changes as of July 31, 2025: The figures of the second quarter of 2025 have been added.

When will new figures be published? Statistics Netherlands usually publishes the first results within five weeks after the reporting period. After the definitive figures are published Statistics Netherlands only adapts the results if large adjustments or corrections are necessary.

Slovakia Construction: NACE 2: Labour Productivity: per Employee: 500 and More Employees data was reported at 155,159.140 EUR in 2016. This records a decrease from the previous number of 207,868.350 EUR for 2015. Slovakia Construction: NACE 2: Labour Productivity: per Employee: 500 and More Employees data is updated yearly, averaging 110,961.610 EUR from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 207,868.350 EUR in 2015 and a record low of 94,649.380 EUR in 2013. Slovakia Construction: NACE 2: Labour Productivity: per Employee: 500 and More Employees data remains active status in CEIC and is reported by Statistical Office of the Slovak Republic. The data is categorized under Global Database’s Slovakia – Table SK.G025: Construction: Employment, Labour Productivity and Wages: by Size of Enterprise.

Graph and download economic data for Employment for Construction: Construction of Buildings (NAICS 236) in the United States (IPUDN236W010000000) from 1987 to 2024 about NAICS, buildings, IP, construction, employment, and USA.

This statistic illustrates the labor productivity growth in construction in Italy from 2013 to 2018. According to data, as of 2018 it can be seen that the labor productivity in construction increased by **** percentage points compared to the previous year.

View quarterly updates and historical trends for Canada Construction Labour Productivity. Source: Statistics Canada. Track economic data with YCharts anal…

Qatar Productivity per Employee: Building and Construction: <50 Employees data was reported at 252,568.000 QAR in 2016. This records an increase from the previous number of 210,141.000 QAR for 2015. Qatar Productivity per Employee: Building and Construction: <50 Employees data is updated yearly, averaging 74,296.000 QAR from Dec 1994 (Median) to 2016, with 23 observations. The data reached an all-time high of 447,162.000 QAR in 2008 and a record low of 51,269.000 QAR in 2002. Qatar Productivity per Employee: Building and Construction: <50 Employees data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.G013: Productivity per Employee.

This reference provides an overview of studies included in a systematic review on construction productivity measurement and monitoring.

Productivity dataset of two real projects located in Montreal, Canada constructed from September 2001 to June 2004.

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

The productivity and operational efficiency of construction industry enterprises in the 105 Industrial and Service Census are categorized by detailed industry sectors.

Construction: Labour Productivity: Value Added: Hainan data was reported at 67,680.895 RMB/Person in 2017. This records a decrease from the previous number of 69,845.605 RMB/Person for 2016. Construction: Labour Productivity: Value Added: Hainan data is updated yearly, averaging 12,684.729 RMB/Person from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 74,453.000 RMB/Person in 2013 and a record low of 2,720.000 RMB/Person in 1989. Construction: Labour Productivity: Value Added: Hainan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Construction Sector – Table CN.EE: Construction Enterprise: Labour Productivity: Value Added Base.

The data for this was collected by one of the authors in Chile in 2008. The number of carpenters contains the number of workers in each week. The input of the system is given by the number of workers times the working shift (8 hours) resulting in the number of working hours in each week. The system output is the number of square meters of framework assembled in each week.

Construction: Labour Productivity: Value Added: Heilongjiang data was reported at 36,688.812 RMB/Person in 2017. This records a decrease from the previous number of 37,500.108 RMB/Person for 2016. Construction: Labour Productivity: Value Added: Heilongjiang data is updated yearly, averaging 15,559.000 RMB/Person from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 52,546.559 RMB/Person in 2010 and a record low of 3,425.000 RMB/Person in 1989. Construction: Labour Productivity: Value Added: Heilongjiang data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Construction Sector – Table CN.EE: Construction Enterprise: Labour Productivity: Value Added Base.

In 2023, the average production value of a worker in the construction sector in China amounted to around *** thousand yuan, an increase of almost *** thousand yuan since 2013. In China, labor productivity had increased significantly over the past decades. Labor productivity Labor productivity describes the value a worker creates in a defined period. The output value hinges upon three factors: physical capital, new technology, and human capital. An increase in any of these three factors would increase a country’s labor productivity. An example of the new technology factor would be enhanced productivity as a result of utilizing artificial intelligence. Building more, faster The construction industry is very labor-intensive. Therefore, the employment of machinery and modern construction techniques greatly enhances productivity. As China developed, it had more resources to purchase and build machinery. In addition to that, Chinese enterprises purchase foreign companies to gain access to new construction technology. In 2016, a heavy equipment manufacturer from Changsha took over the German concrete company Putzmeister, a world leader in concrete pump manufacturing.

Global Non-Residential Construction Productivity Index by Country, 2022 Discover more data with ReportLinker!

Graph and download economic data for Total Factor Productivity for Manufacturing: Agriculture, Construction, and Mining Machinery (NAICS 3331) in the United States (IPUEN3331M001000000) from 1988 to 2022 about productivity, mining, agriculture, machinery, NAICS, IP, construction, manufacturing, and USA.