100+ datasets found
  1. Global construction industry labor productivity change 2005-2015, by country...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Global construction industry labor productivity change 2005-2015, by country [Dataset]. https://www.statista.com/statistics/788361/change-of-labor-productivity-in-the-construction-sector-globally/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2005 - 2015
    Area covered
    Worldwide
    Description

    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.

  2. S

    Slovakia Construction: NACE 2: Labour Productivity: per Employee: 500 and...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Slovakia Construction: NACE 2: Labour Productivity: per Employee: 500 and More Employees [Dataset]. https://www.ceicdata.com/en/slovakia/construction-employment-labour-productivity-and-wages-by-size-of-enterprise/construction-nace-2-labour-productivity-per-employee-500-and-more-employees
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008 - Dec 1, 2016
    Area covered
    Slovakia
    Variables measured
    Wage/Earnings
    Description

    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.

  3. Construction industry LPI Australia FY 2010-2024

    • statista.com
    Updated Apr 17, 2025
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    Statista (2025). Construction industry LPI Australia FY 2010-2024 [Dataset]. https://www.statista.com/statistics/1078127/australia-construction-labor-productivity-index/
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    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    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.

  4. C

    China CN: Construction: Labour Productivity: Value Added

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: Construction: Labour Productivity: Value Added [Dataset]. https://www.ceicdata.com/en/china/construction-enterprise-labour-productivity-value-added-base/cn-construction-labour-productivity-value-added
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    China
    Variables measured
    Job Market Indicators
    Description

    China Construction: Labour Productivity: Value Added data was reported at 64,675.224 RMB/Person in 2017. This records a decrease from the previous number of 65,506.614 RMB/Person for 2016. China Construction: Labour Productivity: Value Added data is updated yearly, averaging 17,621.000 RMB/Person from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 65,794.000 RMB/Person in 2013 and a record low of 3,761.000 RMB/Person in 1989. China Construction: Labour Productivity: Value Added 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.

  5. f

    LABOR PRODUCTIVITY RESEARRCH DATA 2nd .xlsx

    • figshare.com
    xlsx
    Updated Mar 31, 2024
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    Ruqaya Al-Sabah (2024). LABOR PRODUCTIVITY RESEARRCH DATA 2nd .xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.25514203.v1
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    xlsxAvailable download formats
    Dataset updated
    Mar 31, 2024
    Dataset provided by
    figshare
    Authors
    Ruqaya Al-Sabah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The main research focuses on examining factors related to workmanship and labor productivity and intercorrelating them with labor nationalities. It includes questions related to four different areas, including (1) work experience, with options to select between gaining the experience by practicing, family heritage, need, or studying. (2) workmanship quality with four selection possibilities: best, average, below average, or bad. (3) mistakes or error occurrences, and (4) work repetition with options that include always, usually, rarely, and never. The last subcategory focuses on examining factors related to labor communication abilities, attitude, and behavior with questions related to (1) language difficulties, (2) following instructions, (3) trouble-making attitude, and (4) compliance with safety measures, with options including always, usually, rarely, and never. However, (5) Financial motivation, was examined by asking participants to rate this factor from choices including very high, high, moderate, and low. Lastly, (6) time-loss activities were analyzed by listing 14 time-loss activities including eating, drinking, praying, smoking, standing, watching others, walking, chatting, checking phone, using bathrooms more than usual, waiting, sitting, late attendance, and early dismissal. Participants were asked to choose the time-loss activity that is frequently observed and relate it to labor nationalities under investigation. The process of questionnaire distribution among the specified target population was carried out through manual means. A total of fifty-four surveys were effectively undertaken, representing a wide range of labor productivity and behavior aspects.

  6. Construction industry labor productivity index South Korea 2014-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Construction industry labor productivity index South Korea 2014-2023 [Dataset]. https://www.statista.com/statistics/1453602/south-korea-construction-industry-labor-productivity-index/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    With the base year at 2020, the labor productivity index for the construction industry in South Korea stood at around ** points in 2023. The index for the construction industry has continued to decline since 2017.

  7. F

    Total Factor Productivity for Manufacturing: Agriculture, Construction, and...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
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    (2025). Total Factor Productivity for Manufacturing: Agriculture, Construction, and Mining Machinery (NAICS 3331) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUEN3331M001000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    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 2021 about productivity, agriculture, machinery, NAICS, mining, IP, construction, manufacturing, and USA.

  8. China CN: Construction: Labour Productivity: GOV: ytd

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Construction: Labour Productivity: GOV: ytd [Dataset]. https://www.ceicdata.com/en/china/construction-enterprise-labour-productivity-gross-output-value-base/cn-construction-labour-productivity-gov-ytd
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Job Market Indicators
    Description

    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.

  9. Data extraction-Practices and Challenges in Measuring and Monitoring...

    • figshare.com
    xlsx
    Updated Mar 12, 2025
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    Laura Gutierrez-Bucheli; Savindi Perera; Rachel Couper; Duncan Maxwell (2025). Data extraction-Practices and Challenges in Measuring and Monitoring Construction Productivity.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.27671769.v1
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    xlsxAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Laura Gutierrez-Bucheli; Savindi Perera; Rachel Couper; Duncan Maxwell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

  10. F

    Employment for Construction: Construction of Buildings (NAICS 236) in the...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
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    (2025). Employment for Construction: Construction of Buildings (NAICS 236) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUDN236W200000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Construction: Construction of Buildings (NAICS 236) in the United States (IPUDN236W200000000) from 1987 to 2024 about NAICS, IP, buildings, construction, employment, and USA.

  11. On-site productivity data

    • figshare.com
    xlsx
    Updated Feb 3, 2024
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    ciclab ntust (2024). On-site productivity data [Dataset]. http://doi.org/10.6084/m9.figshare.25117682.v2
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    xlsxAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    ciclab ntust
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

  12. s

    Labour productivity and related measures by business sector industry and by...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated May 20, 2025
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    Government of Canada, Statistics Canada (2025). Labour productivity and related measures by business sector industry and by non-commercial activity consistent with the industry accounts [Dataset]. http://doi.org/10.25318/3610048001-eng
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    Dataset updated
    May 20, 2025
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    Canada
    Description

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

  13. d

    Construction industry enterprises' productivity and operational efficiency...

    • data.gov.tw
    xml
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    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C., Construction industry enterprises' productivity and operational efficiency by detailed industry categories. [Dataset]. https://data.gov.tw/en/datasets/111817
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    xmlAvailable download formats
    Dataset authored and provided by
    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

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

  14. C

    China CN: Construction: Labour Productivity: Value Added: Chongqing

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Construction: Labour Productivity: Value Added: Chongqing [Dataset]. https://www.ceicdata.com/en/china/construction-enterprise-labour-productivity-value-added-base/cn-construction-labour-productivity-value-added-chongqing
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    China
    Variables measured
    Job Market Indicators
    Description

    Construction: Labour Productivity: Value Added: Chongqing data was reported at 69,802.119 RMB/Person in 2017. This records a decrease from the previous number of 72,350.736 RMB/Person for 2016. Construction: Labour Productivity: Value Added: Chongqing data is updated yearly, averaging 24,998.869 RMB/Person from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 75,062.647 RMB/Person in 2015 and a record low of 9,826.000 RMB/Person in 1997. Construction: Labour Productivity: Value Added: Chongqing 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.

  15. g

    Construction industry; productive hours in construction of buildings |...

    • gimi9.com
    Updated May 1, 2025
    + more versions
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    (2025). Construction industry; productive hours in construction of buildings | gimi9.com [Dataset]. https://gimi9.com/dataset/nl_4136-construction-industry--productive-hours-in--non--residential-buildings/
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    Dataset updated
    May 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 April 30, 2025: The figures of the first 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.

  16. Labor productivity in construction in Italy 2013-2018

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Labor productivity in construction in Italy 2013-2018 [Dataset]. https://www.statista.com/statistics/619880/labor-productivity-in-construction-italy/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    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.

  17. m

    Carpenters setting the formwork for slab data, Chile 2008

    • data.mendeley.com
    Updated Dec 31, 2016
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    Ricardo Antunes (2016). Carpenters setting the formwork for slab data, Chile 2008 [Dataset]. http://doi.org/10.17632/czd3sv637z.1
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    Dataset updated
    Dec 31, 2016
    Authors
    Ricardo Antunes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  18. Global Non-Residential Construction Productivity Index by Country, 2022

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global Non-Residential Construction Productivity Index by Country, 2022 [Dataset]. https://www.reportlinker.com/dataset/1935910097c0b9b23f7ab4a7aaf13c9e692c99d0
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    Dataset updated
    Apr 9, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

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

  19. C

    China CN: Construction: Labour Productivity: Value Added: Zhejiang

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Construction: Labour Productivity: Value Added: Zhejiang [Dataset]. https://www.ceicdata.com/en/china/construction-enterprise-labour-productivity-value-added-base/cn-construction-labour-productivity-value-added-zhejiang
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    China
    Variables measured
    Job Market Indicators
    Description

    Construction: Labour Productivity: Value Added: Zhejiang data was reported at 63,557.594 RMB/Person in 2017. This records an increase from the previous number of 61,842.688 RMB/Person for 2016. Construction: Labour Productivity: Value Added: Zhejiang data is updated yearly, averaging 25,842.000 RMB/Person from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 63,557.594 RMB/Person in 2017 and a record low of 3,899.000 RMB/Person in 1989. Construction: Labour Productivity: Value Added: Zhejiang 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.

  20. Labor productivity in the construction sector in China 2013-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Labor productivity in the construction sector in China 2013-2023 [Dataset]. https://www.statista.com/statistics/225966/labor-productivity-in-the-construction-sector-in-china/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    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.

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Statista (2025). Global construction industry labor productivity change 2005-2015, by country [Dataset]. https://www.statista.com/statistics/788361/change-of-labor-productivity-in-the-construction-sector-globally/
Organization logo

Global construction industry labor productivity change 2005-2015, by country

Explore at:
Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2005 - 2015
Area covered
Worldwide
Description

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.

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