57 datasets found
  1. Per capita GDP per hour worked in Mexico 2005-2023

    • statista.com
    Updated Sep 4, 2024
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    Statista (2024). Per capita GDP per hour worked in Mexico 2005-2023 [Dataset]. https://www.statista.com/statistics/1040963/mexico-gdp-per-capita-hour-worked/
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    In 2023, every person in Mexico was estimated to produce a Gross Domestic Product of 25.47 U.S. dollars per hour of work. In nominal values, the labor productivity per hour has been increasing almost uninterruptedly in Mexico during the past decade.

  2. Chile: per capita GDP per hour worked 2005-2023

    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Chile: per capita GDP per hour worked 2005-2023 [Dataset]. https://www.statista.com/statistics/1040986/chile-gdp-per-capita-hour-worked/
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Chile
    Description

    Over the past decade, the labor productivity per hour of work has been increasing in Chile. In 2023, a Chilean worker produced, on average, around 36.8 U.S. dollars per hour worked. In nominal values, the per capita GDP produced per hour in the South American country has more than doubled compared to 2005, when the hourly labor productivity amounted to 15.4 U.S. dollars.

  3. t

    Labour productivity per hour worked - annual data - Vdataset - LDM

    • service.tib.eu
    Updated Jan 8, 2025
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    (2025). Labour productivity per hour worked - annual data - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/eurostat_nm6kexpap9dyx6hw4em1w
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    Dataset updated
    Jan 8, 2025
    Description

    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.

  4. Indexes of labour productivity and related measures, by business sector...

    • db.nomics.world
    Updated Mar 6, 2025
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    DBnomics (2025). Indexes of labour productivity and related measures, by business sector industry, seasonally adjusted [Dataset]. https://db.nomics.world/STATCAN/36100207
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    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    DBnomics
    Description

    Quarterly estimates of productivity in the total economy and in the industries are derived from a Fisher chained index of gross domestic product (GDP). The approach to measure the GDP in the total economy differs from the one that used in the estimates by industry. For the total economy, GDP is measured using the expenditure approach at market prices published by the Quarterly Income and Expenditure Accounts. For the estimates by industry, GDP is measured using the value added approach at basic prices published by the Industry Accounts Division. This was the Fisher chained index in the case of years for which final input-output tables are available. For the most current years or annual post-benchmarks, the real GDP is based on a fixed-weight Laspeyres chained index formula. GDP estimates in the productivity measures for the businesses producing services and for real estate, and rental and leasing exclude the rental value of owner occupied dwellings. The estimate of the total number of jobs covers four main categories: employee jobs, work owner of an unincorporated business, own account self-employment, and unpaid family jobs. The last category is found mainly in sectors where family firms are important (agriculture and retail trade, in particular). Jobs data are consistent with the System of National Accounts. This is the quarterly average of hours worked for jobs in all categories. The number of hours worked in all jobs is the quarterly average for all jobs times the annual average hours worked in all jobs. Hours worked data are consistent with the System of National Accounts. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour productivity is the ratio between real GDP and hours worked. For the estimates of productivity in the total economy, a Fisher chain index of GDP at market prices is used as measure of the output. On the other hand, in the quarterly productivity estimates for the industries, a Fisher chain index of GDP at basic prices for each industry is used as measure of the output up to the last year benchmark for which final input-output tables are available, after that by a fixed-weight volume Laspeyres chained index formula for the most recent years. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This measures the cost of labour input required to produce one unit of output, and equals labour compensation in current dollars divided by the real output. It is often calculated as the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure inflation pressures arising from wage growth. The measure of real value added used in the labour unit cost estimation is based on a Fisher chain index excluding the rental value of owner occupied dwellings. The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply side or production oriented principles, to ensure that industrial data, classified to NAICS, is suitable for the analysis of production related issues such as industrial performance. Since 1997, the System of National Accounts' (SNA) input-output industry classification system is based on NAICS. In the National Accounts industries, the levels of the different classification systems were chosen so as to provide the most detail possible in order to maximise continuity with the previous classification systems used in Statistics Canada since 1961. Therefore, the greatest level of detail that is available over time occurs at the L level of aggregation, which corresponds, to 105 industries. This L level can also be aggregated to the M level (medium - 56 industries) and to the S level (small - 21 industries). This combines the business establishments of the North American Industry Classification System (NAICS) codes 11, 21, 22, 23, 31-33. This combines the business establishments of the North American Industry Classification System (NAICS) codes 41, 44-45, 48-49, 51, 52, 53, 54, 55, 56, 61, 62, 71, 72, 81. The Gross Domestic Product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from the business service producing industries. This combines the business establishments of the North American Industry Classification System (NAICS) code 53. The gross domestic product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from this industry code. This combines the business establishments of the North American Industry Classification System (NAICS) codes 61, 62, 81. This combines the part of non-business establishments of the North American Industry Classification System (NAICS) codes 11-91, but also including the owner occupied dwellings industry and the private households. Total economic activities that have been realized within the country. That covers both business and non-business sectors. Unit labour cost in United States dollars is the equivalent of the ratio of Canadian unit labour cost to the exchange rate. This latter corresponds to the United States dollar value expressed in Canadian dollars. This combines the business establishments of the North American Industry Classification System (NAICS) codes 52 and 55.

  5. g

    Labour productivity per hour worked - annual data | gimi9.com

    • gimi9.com
    Updated Jun 5, 2025
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    (2025). Labour productivity per hour worked - annual data | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_nm6kexpap9dyx6hw4em1w_1
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    Dataset updated
    Jun 5, 2025
    Description

    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).

  6. Australia GDP Per Hour Worked Index: sa

    • ceicdata.com
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    CEICdata.com, Australia GDP Per Hour Worked Index: sa [Dataset]. https://www.ceicdata.com/en/australia/sna08-gdp-per-hour-worked-seasonally-adjusted/gdp-per-hour-worked-index-sa
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    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
    Sep 1, 2011 - Jun 1, 2014
    Area covered
    Australia
    Variables measured
    Gross Domestic Product
    Description

    Australia GDP Per Hour Worked Index: sa data was reported at 106.100 2011-2012=100 in Jun 2014. This records an increase from the previous number of 105.100 2011-2012=100 for Mar 2014. Australia GDP Per Hour Worked Index: sa data is updated quarterly, averaging 77.550 2011-2012=100 from Sep 1978 (Median) to Jun 2014, with 144 observations. The data reached an all-time high of 106.100 2011-2012=100 in Jun 2014 and a record low of 59.700 2011-2012=100 in Jun 1979. Australia GDP Per Hour Worked Index: sa data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A286: SNA08: GDP Per Hour Worked: Seasonally Adjusted. Labour Productivity estimates are the indexes of real GDP per hour worked. For the whole economy, they have been derived by dividing the chain volume measure of GDP by the estimated resident population or hours worked. Labour productivity indexes reflect not only the contribution of labour to changes in product per labour unit, but are also influenced by the contribution of capital and other factors affecting production.

  7. Output per hour worked, UK

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated May 15, 2025
    + more versions
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    Office for National Statistics (2025). Output per hour worked, UK [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/datasets/outputperhourworkeduk
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    xlsxAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    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.

  8. F

    Hours worked by full-time and part-time employees: Domestic private...

    • fred.stlouisfed.org
    json
    Updated Oct 26, 2023
    + more versions
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    (2023). Hours worked by full-time and part-time employees: Domestic private industries: Professional and business services [Dataset]. https://fred.stlouisfed.org/series/N4718C0A222NBEA
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    jsonAvailable download formats
    Dataset updated
    Oct 26, 2023
    License

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

    Description

    Graph and download economic data for Hours worked by full-time and part-time employees: Domestic private industries: Professional and business services (N4718C0A222NBEA) from 2000 to 2022 about part-time, professional, full-time, hours, private industries, domestic, business, services, private, employment, industry, GDP, and USA.

  9. Multifactor productivity, gross output, value-added, capital, labour and...

    • db.nomics.world
    Updated Apr 9, 2025
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    DBnomics (2025). Multifactor productivity, gross output, value-added, capital, labour and intermediate inputs at a detailed industry level [Dataset]. https://db.nomics.world/STATCAN/36100217
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    Dataset updated
    Apr 9, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    DBnomics
    Description

    This table replaces table 383-0022. Multifactor productivity based on gross output measures the efficiency with which all inputs including capital, labour and intermediate inputs are used in production. It is the ratio of real gross output to combined units of all inputs. Multifactor productivity based on value-added measures the efficiency with which capital and labour inputs are used to generate value-added. It is the ratio of real gross domestic product (GDP) (real value-added) to combined labour and capital inputs. Labour productivity based on gross output is measured as real gross output per hours worked. It shows the time profile of how productively labour is used to generate gross output. Changes in gross-output-based labour productivity reflect the joint influence of capital, skill upgrading, intermediate inputs and overall productive efficiency. Labour productivity based on value-added is measured as real gross domestic product (GDP) per hours worked. It shows the time profile of how productively labour is used to generate value-added. Changes in value-added-based labour productivity reflect the joint influence of capital, skill upgrading, and overall productive efficiency. Real gross output is a chained Fisher quantity index of gross output at basic prices. Real gross domestic product (GDP) (or real value-added) is a chained Fisher quantity index of gross domestic product (GDP) at basic prices. Labour input is obtained by chained-Fisher aggregation of hours worked of all workers, classified by education, work experience, and class of workers (paid workers versus self-employed and unpaid family workers) using hourly compensation as weights. The number of hours worked in all jobs is the number of all jobs times the annual average hours worked in all jobs. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour composition is the ratio of labour input to hours worked. Changes in labour composition reflect the shifts in the educational attainment and work experience of the workforce. Capital input measures the services derived from the stock of fixed reproducible business assets (equipment and structures), inventories, and land. It is obtained by chained-Fisher aggregation of capital stocks using the cost of capital to determine weights. Combined labour and capital inputs are obtained by chained-Tornqivst aggregation of labour and capital input using shares of labour and capital in the sum of labour and capital costs as weights. Intermediate inputs are obtained from a chained-Fisher aggregation of energy, material and services inputs. Combined units of all inputs are obtained by chained-Tornqivst aggregation of labour, capital and intermediate inputs using shares of labour, capital and intermediate inputs in the sum of labour, capital and intermediate input costs as weights. Gross output is valued at basic prices. Gross domestic product (GDP) is valued at basic prices. It is calculated as gross output at basic prices minus intermediate inputs at purchaser prices. Labour compensation consists of all payments in cash or in kind made by domestic producers to workers for services rendered - in other words, total payroll. It includes the salaries and supplementary labour income of paid workers, plus an imputed labour income of self-employed workers. Capital cost represents the surplus-profits, depreciation, rent, and net interest-intended as compensation to the owners of capital. Contribution of capital intensity to labour productivity growth is calculated as the growth in capital services per hour times capital's share of total costs. It reflects the effects of capital investment on labour productivity growth. Contribution of intermediate input intensity to labour productivity growth is calculated as the growth rate of intermediate input per hour times intermediate input's share of total costs. It reflects the effects of intermediate inputs on labour productivity growth. Contribution of labour composition to labour productivity growth is calculated as the growth rate of labour composition times labour's share of total costs. It reflects the effects on labour productivity growth of skill upgrading as measured by increases in the experience and education composition of the workforce. This combines the North American Industry Classification System (NAICS) codes 111-112. This combines the North American Industry Classification System (NAICS) codes 2212-2213. This combines the North American Industry Classification System (NAICS) codes 313, 314. This combines the North American Industry Classification System (NAICS) codes 315, 316. This combines the North American Industry Classification System (NAICS) codes 481-483, 487. This combines the North American Industry Classification System (NAICS) codes 491-492. This combines the North American Industry Classification System (NAICS) codes 511,515,517,518,519. This excludes owner-occupied dwellings industry. This only includes privately-owned establishments. Publicly-owned establishments that provide education are included in the non-business sector. This only includes privately-owned establishments. Publicly-owned establishments that provide health services are included in the non-business sector. This combines the North American Industry Classification System (NAICS) codes 812, 814. The scalar factor for Labour input - Hours worked, nominal Gross output, nominal Gross domestic product, Capital cost, Labour compensation, and Cost of intermediate inputs has been added.

  10. F

    Hours worked by full-time and part-time employees: Domestic private...

    • fred.stlouisfed.org
    json
    Updated Oct 26, 2023
    + more versions
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    (2023). Hours worked by full-time and part-time employees: Domestic private industries: Farms [Dataset]. https://fred.stlouisfed.org/series/N4705C0A222NBEA
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    jsonAvailable download formats
    Dataset updated
    Oct 26, 2023
    License

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

    Description

    Graph and download economic data for Hours worked by full-time and part-time employees: Domestic private industries: Farms (N4705C0A222NBEA) from 2000 to 2022 about part-time, full-time, agriculture, hours, private industries, domestic, private, employment, industry, GDP, and USA.

  11. 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.

  12. Libya GDP per Unit of Energy Use: 2021 Price: PPP per Kg of Oil Equivalent

    • ceicdata.com
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    CEICdata.com, Libya GDP per Unit of Energy Use: 2021 Price: PPP per Kg of Oil Equivalent [Dataset]. https://www.ceicdata.com/en/libya/environmental-energy-production-and-consumption/gdp-per-unit-of-energy-use-2021-price-ppp-per-kg-of-oil-equivalent
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    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
    Dec 1, 2003 - Dec 1, 2014
    Area covered
    Libya
    Variables measured
    Industrial Production
    Description

    Libya GDP per Unit of Energy Use: 2021 Price: PPP per Kg of Oil Equivalent data was reported at 4.512 Intl $/kg in 2022. This records a decrease from the previous number of 5.337 Intl $/kg for 2021. Libya GDP per Unit of Energy Use: 2021 Price: PPP per Kg of Oil Equivalent data is updated yearly, averaging 6.072 Intl $/kg from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 9.484 Intl $/kg in 2007 and a record low of 3.519 Intl $/kg in 2014. Libya GDP per Unit of Energy Use: 2021 Price: PPP per Kg of Oil Equivalent data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Libya – Table LY.World Bank.WDI: Environmental: Energy Production and Consumption. GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2021 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.;IEA Energy Statistics Data Browser, https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser;Weighted average;

  13. Canada: labor productivity 2023, by industry

    • statista.com
    • ai-chatbox.pro
    Updated Jan 23, 2025
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    Statista (2025). Canada: labor productivity 2023, by industry [Dataset]. https://www.statista.com/statistics/462953/labour-productivity-in-canada-by-industry/
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Canada
    Description

    This statistic shows the labor productivity in Canada in 2023, distinguished by industry. In 2023, labor productivity in mining and oil and gas extraction in Canada amounted to 196.3 chained 2017 Canadian dollars added to the GDP per hour worked.

  14. k

    Development Indicators

    • datasource.kapsarc.org
    Updated Apr 26, 2025
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    (2025). Development Indicators [Dataset]. https://datasource.kapsarc.org/explore/dataset/saudi-arabia-world-development-indicators-1960-2014/
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    Dataset updated
    Apr 26, 2025
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

    Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

    Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, India Follow data.kapsarc.org for timely data to advance energy economics research..

  15. e

    Regional key figures; National Accounts

    • data.europa.eu
    • cbs.nl
    atom feed, json
    Updated Jun 25, 2018
    + more versions
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    (2018). Regional key figures; National Accounts [Dataset]. https://data.europa.eu/data/datasets/52679-regional-key-figures-national-accounts?locale=da
    Explore at:
    json, atom feedAvailable download formats
    Dataset updated
    Jun 25, 2018
    License

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

    Description

    Regional accounts give a description of the volume of the economic process in the various regions of a country consistent with national accounts. Elements in the economic process distinguished in national accounts are production, distribution of income, spending and financing. Regional accounts focus on the description of the production processes in the various regions.

    Data available from: 1995

    Status of the figures: The figures of the years 1995 to 2021 are final. Data of the year 2022 are also final, but the figures of the variables Full-time equivalent (fte), Employed persons and Hours worked are an exception, due to the late availability of annual data on self-employed persons. These final figures are published a year after. The figures of the year 2023 are provisional.

    Changes as of December 23rd 2024: The figures for GDP, GDP per capita and gross value added, as well as the volume changes of gross value added and GDP on regional level were incorrect. This is corrected in this publication. The national figures for the Netherlands remain unchanged.

    Changes as of December 9th 2024: None, this is a new table. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. This table contains revised data. For further information see section 3.

    When will new figures be published? New figures will be published in December 2025.

  16. F

    Hours worked by full-time and part-time employees: Domestic private...

    • fred.stlouisfed.org
    json
    Updated Aug 5, 2015
    + more versions
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    (2015). Hours worked by full-time and part-time employees: Domestic private industries: Retail trade (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/J4717C0A222NBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 5, 2015
    License

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

    Description

    Graph and download economic data for Hours worked by full-time and part-time employees: Domestic private industries: Retail trade (DISCONTINUED) (J4717C0A222NBEA) from 1948 to 1969 about part-time, full-time, hours, retail trade, private industries, domestic, sales, retail, private, employment, industry, GDP, and USA.

  17. Canada: labor productivity in Nunavut 2023, by industry

    • ai-chatbox.pro
    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Canada: labor productivity in Nunavut 2023, by industry [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F590310%2Flabor-productivity-in-british-nunavut%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Canada
    Description

    This statistic shows the labor productivity in Nunavut, Canada in 2023, by industry. In 2023, the labor productivity in the manufacturing industry in Nunavut was 111.1 chained 2017 Canadian dollars added to the GDP per hour worked.

  18. Pennsylvania Coincident indexes

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Jan 31, 2025
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    Knoema (2025). Pennsylvania Coincident indexes [Dataset]. https://hi.knoema.com/atlas/%E3%82%A2%E3%83%A1%E3%83%AA%E3%82%AB%E5%90%88%E8%A1%86%E5%9B%BD/Pennsylvania/Coincident-indexes?view=snowflake
    Explore at:
    json, csv, xls, sdmxAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Pennsylvania
    Variables measured
    Coincident indexes
    Description

    133.619 (Index) in दिसम्बर, 2024. The coincident indexes combine four state-level indicators to summarize current economic conditions in a single statistic. The four state-level variables in each coincident index are nonfarm payroll employment, average hours worked in manufacturing by production workers, the unemployment rate, and wage and salary disbursements plus proprietors' income deflated by the consumer price index (U.S. city average). The trend for each state’s index is set to the trend of its gross domestic product (GDP), so long-term growth in the state’s index matches long-term growth in its GDP.

  19. Canada: labor productivity Quebec 2023, by industry

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Canada: labor productivity Quebec 2023, by industry [Dataset]. https://www.statista.com/statistics/590104/labor-productivity-in-quebec/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Canada
    Description

    This statistic shows the industry's labor productivity in Quebec, Canada in 2023. In 2023, the labor productivity in the manufacturing industry in Quebec was 63.9 chained 2017 Canadian dollars added to the GDP per hour worked.

  20. Minnesota Coincident indexes

    • ru.knoema.com
    csv, json, sdmx, xls
    Updated Jan 31, 2025
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    Knoema (2025). Minnesota Coincident indexes [Dataset]. https://ru.knoema.com/atlas/%D0%A1%D0%BE%D0%B5%D0%B4%D0%B8%D0%BD%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5-%D0%A8%D1%82%D0%B0%D1%82%D1%8B-%D0%90%D0%BC%D0%B5%D1%80%D0%B8%D0%BA%D0%B8/Minnesota/Coincident-indexes
    Explore at:
    xls, csv, sdmx, jsonAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Minnesota, United States
    Variables measured
    Coincident indexes
    Description

    156,201 (Index) в Декабрь 2024. The coincident indexes combine four state-level indicators to summarize current economic conditions in a single statistic. The four state-level variables in each coincident index are nonfarm payroll employment, average hours worked in manufacturing by production workers, the unemployment rate, and wage and salary disbursements plus proprietors' income deflated by the consumer price index (U.S. city average). The trend for each state’s index is set to the trend of its gross domestic product (GDP), so long-term growth in the state’s index matches long-term growth in its GDP.

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Statista (2024). Per capita GDP per hour worked in Mexico 2005-2023 [Dataset]. https://www.statista.com/statistics/1040963/mexico-gdp-per-capita-hour-worked/
Organization logo

Per capita GDP per hour worked in Mexico 2005-2023

Explore at:
Dataset updated
Sep 4, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Mexico
Description

In 2023, every person in Mexico was estimated to produce a Gross Domestic Product of 25.47 U.S. dollars per hour of work. In nominal values, the labor productivity per hour has been increasing almost uninterruptedly in Mexico during the past decade.

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