Key information about Germany Labour Productivity Growth

• Germany Labour Productivity dropped by 0.38 % YoY in Dec 2024, compared with a growth of 0.09 % in the previous quarter
• Germany Labour Productivity Growth data is updated quarterly, available from Mar 1992 to Dec 2024, averaging at 0.81 %
• The data reached an all-time high of 11.59 % in Jun 2021 and a record low of -9.85 % in Jun 2020

Germany - Real labour productivity per person employed was -0.30 % year-on-year in March of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Real labour productivity per person employed - last updated from the EUROSTAT on July of 2025. Historically, Germany - Real labour productivity per person employed reached a record high of 11.60 % year-on-year in June of 2021 and a record low of -9.90 % year-on-year in June of 2020.

Productivity in Germany increased to 95 points in May from 93.60 points in April of 2025. This dataset provides the latest reported value for - Germany Productivity - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This statistic shows the labor productivity per person employed and hour worked in relation to the average gross domestic product (GDP) of the European Union (EU-28) in Germany from 2005 to 2016. Labor productivity compared to the EU average remained above average throughout the measured time period and reached a peak in 2005 at 108.5.

Germany DE: Labour Productivity Index (LPI): swda data was reported at 100.800 2015=100 in Jun 2024. This records a decrease from the previous number of 100.990 2015=100 for Mar 2024. Germany DE: Labour Productivity Index (LPI): swda data is updated quarterly, averaging 96.680 2015=100 from Mar 1991 (Median) to Jun 2024, with 134 observations. The data reached an all-time high of 103.340 2015=100 in Dec 2017 and a record low of 80.240 2015=100 in Mar 1991. Germany DE: Labour Productivity Index (LPI): swda data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s Germany – Table DE.European Central Bank: Labour Productivity Index: 2015=100.

Graph and download economic data for Unit Labor Costs: Early Estimate of Quarterly Unit Labor Costs (ULC) Indicators: Labor Productivity: Total for Germany (ULQELP01DEQ657S) from Q2 1991 to Q3 2023 about productivity, Germany, and production.

DE: Multifactor Productivity: Capital Stock Output Ratio: % Point Contribution to Labour Productivity Growth data was reported at 0.620 % in 2022. This records a decrease from the previous number of 1.116 % for 2021. DE: Multifactor Productivity: Capital Stock Output Ratio: % Point Contribution to Labour Productivity Growth data is updated yearly, averaging 1.209 % from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 3.739 % in 1990 and a record low of -5.549 % in 2009. DE: Multifactor Productivity: Capital Stock Output Ratio: % Point Contribution to Labour Productivity Growth data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Germany – Table DE.OECD.PDB: Multifactor and Capital Productivity: OECD Member: Annual.

Labour productivity index in manufacturing: Germany, years (until 2019), output, economic sectors (main groups and aggregates)

In Western Europe between 1913 and 1950, a period that was dominated by the two world wars, the Great Depression, and the respective recovery periods, labor productivity grew at varying rates per country. When productivity (in terms of GDP per hour worked) is compared between these years, Sweden and Switzerland saw increases of approximately 170 percent, while West German productivity grew by just 25 percent. Of the selected countries, West Germany is the outlier as it was one of the Axis powers during the Second World War, and its recovery was accompanied by territorial losses and reparations (in the form of industrial assets and labor); between 1950 and 1955, however, West German recovery ended and productivity eventually grew to become the strongest in Europe.

Germany DE: Capital Quality: Capital Stock Output Ratio: % Point Contribution to Labour Productivity Growth data was reported at 0.256 % in 2022. This records an increase from the previous number of 0.245 % for 2021. Germany DE: Capital Quality: Capital Stock Output Ratio: % Point Contribution to Labour Productivity Growth data is updated yearly, averaging 0.308 % from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 0.585 % in 2000 and a record low of 0.182 % in 1994. Germany DE: Capital Quality: Capital Stock Output Ratio: % Point Contribution to Labour Productivity Growth data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Germany – Table DE.OECD.PDB: Investment in Capital Stocks and Services: OECD Member: Annual.

Description:From an economic point of view the production encompasses manufacturing, including related ‘industrial services’ as long as they are provided in the production industry. After the guidelines of the official statistics on the measurement of production, all products produced to be sold including repair works, montages and contract processing should be captured. Own consumption and wage work is included. For the calculation of the production indices the primary used data are the monthly production surveys. For this surveys reports of chosen local units of enterprises in the production, in the mining sector and extraction of stones and earth with 50 or more employees are used. Until 2006 the reporting threshold was fixed for 20 or more employees. The manufacturing trade is always included. The production index should demonstrate the development of the quantitative production of the production industry and its sub-areas in Germany, adjusted for chances in prices and structures to provide continuous data. Differences in size and changes in structures can be avoided, by presenting the production output not in total numbers, but in from of index number series orientated towards a basis year. For the calculation of production index numbers, current monthly production values (quantity of sales or sale values) are presented as a ratio of the monthly averages of the base year. Until 1993 the Federal Statistical Office calculated two types of production indices: gross-production indices and net-production indices. From the index system 1991=100 on there is only one production index, defined as e net production index. Both index types differ from one another among other things by the definition of the performance dimensions (value added or value of gross production) and by the way it is structured (net production index by economic sectors, gross production index by types of commodities). Indices of net production in the Federal Republic of Germany exist since 1950. During the past decades the base year changed several times and also the content wise classification economic sectors changed repeatedly trough the introduction of new classification systems. The series with different base years overlap, which gives the opportunity to calculate a continuous series with one single base, if the classification of economic sectors did not change in the entire period. Content-related interlinking of indices with different bases is controversial and the results can only be interpreted with care and under certain assumptions. The net production indices are also used to measure productivity in the production industry. Labor productivity (of a local unit, an enterprise, an economic sector or of the entire national economy) can be defined as the ratio of quantity of production and labor input in a certain period. Interpreting this coefficient, it is important to note that labor productivity also depends on the use of other production factors. The index for labor productivity is defined as the “production results per input component of the working volume”. Two different manifestations of the working volume are used for the calculation of the index: (1) hours of work by employees and (2) number of hours worked. Until 1994 in addition a distinction between “number of workers” and “number of employees” was made. The total national working productivity serves as an indicator for economic performance and competitiveness of an economic sector or of the entire national economy with regard to the entire labor input. Labor productivity (after the results of the national accounts) is apparently the most used productivity notion for the entire economy. It shows how effective the input labor is used in the production process. Anyway, it is important to note that the partial productivity indicator not only depends on the factor work but also on the endowment of a certain sector or the entire economy with machines and their degree of modernity and on the infrastructure, which also has an impact on the production result.Productivity can be measured regarding the following two aspects: production result per worker (per capita productivity) and production result per working hour (hourly productivity). For the entire national economy the labor productivity is measured as the ratio of the gross national product (in constant prices) and the average number of employees. To look at the development of labor productivity of an entire national economy, usually the real gross domestic product is used. When comparing economic sectors within a country, the added values of the economic sectors can be used in the respective prices with regard to one employee or one hour of work. Data tables in HISTAT:A. Index for the industrial net production A.01 Index for the industrial net production by industry groups, monthly data (1950-1994)A.02 Production index for the production industry (1991-2014) B. Index for the industrial gross production B.01 Index for t...

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Germany DE: LPI: swda: Information, Communication data was reported at 108.350 2015=100 in Jun 2024. This records an increase from the previous number of 107.890 2015=100 for Mar 2024. Germany DE: LPI: swda: Information, Communication data is updated quarterly, averaging 78.065 2015=100 from Mar 1991 (Median) to Jun 2024, with 134 observations. The data reached an all-time high of 112.310 2015=100 in Dec 2021 and a record low of 35.870 2015=100 in Sep 1991. Germany DE: LPI: swda: Information, Communication data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s Germany – Table DE.European Central Bank: Labour Productivity Index: 2015=100.

Germany DE: LPI: swda: Construction data was reported at 78.660 2015=100 in Jun 2024. This records a decrease from the previous number of 81.040 2015=100 for Mar 2024. Germany DE: LPI: swda: Construction data is updated quarterly, averaging 105.040 2015=100 from Mar 1991 (Median) to Jun 2024, with 134 observations. The data reached an all-time high of 119.970 2015=100 in Dec 1992 and a record low of 77.590 2015=100 in Dec 2022. Germany DE: LPI: swda: Construction data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s Germany – Table DE.European Central Bank: Labour Productivity Index: 2015=100.

Germany DE: LPI: swda: Art & Entertainment, Recreation data was reported at 97.160 2015=100 in Jun 2024. This records a decrease from the previous number of 97.360 2015=100 for Mar 2024. Germany DE: LPI: swda: Art & Entertainment, Recreation data is updated quarterly, averaging 105.605 2015=100 from Mar 1991 (Median) to Jun 2024, with 134 observations. The data reached an all-time high of 133.490 2015=100 in Mar 1994 and a record low of 74.490 2015=100 in Jun 2020. Germany DE: LPI: swda: Art & Entertainment, Recreation data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s Germany – Table DE.European Central Bank: Labour Productivity Index: 2015=100.

The study deals with the reconstruction of German secular economic trends associated with a data-compilation of historical time series concerning the economic development.

Index of tables in HISTAT (On-line Database ´Historical Statistics´):

• Population Development in Germany (1200-2002)
• Emigration from Germany (1820-2002)
• Live Birth and deceased per 1000 Inhabitants in Germany (1820-2000)
• Life expectancy of men and women in Germany (1871- 2001)
• Expansion rate of real GDP per capita of the population
• Real GDP per capita of population in Germany (1850-2002)
• Expansion rate of real GDP per capita of population in Germany (1851-2002)
• Hectare-output of wheat and rye in Germany (1850-2000)
• Gross-Value-Added of Primary Sector in comparison to the entire national economy (1850-2002)
• Percental share of Gross-Value-Added of Primary Sector in the entire Gross-Value-Added of national economy (1850 -2002)
• Price index of living costs and actual earnings in England (1264-1953)
• Employees in Germany (1800-2003)
• Average hours of work on a weekly basis in mining, industry and handcraft (1850-2002)
• Overall fulfilled hours of work in Germany (1850-2003)
• GDP per Capita, volume of work and average hours of work per week(1850-2002)
• Index of real wages in Germany (1810-2002)
• Unemployment rate in Germany (1887-2002)
• Percentage of employees in primary, secondary and tertiary sector of total employment (1800-2003)
• Capital stock in Germany (1850-2000)
• Netinvestment in Germany (1850-2002)
• Netinvestment rate in Germany (1850-2003)
• Index of capital intensity and of labour productivity (GDP per capita) in Germany (1850-2001)
• Return on capital in Germany (1850-1998)
• Capital ratio in Germany (1850-2000)
• Total Factorproductivity in Germany (1870-1999)
• Education rates in Germany and in USA (1870-1992)
• Number of grants in Germany (1812-2003) and in USA (1791-2000)

´For the first time, this study on East Germany presents data on the macroeconomic development in the period from 1970 until 2000, which are comparable as to their method, their price, and their structure. Hereby the domestic product, added value in the different economic fields, employment, and the consumption of the national economy according to their respective main deployment serve as indicators. The data collected so far are insufficient for a presentation of the development of major economic factors concerning the above-mentioned period, on a similar methodical basis, streamlined with regard to price changes, i.e. the prices of a basic year, and the structural definitions of today. As a matter of fact, the creation of comparable statistical findings for East Germany over the whole period of three decades is still difficult both in objective and subjective terms. The accession of East Germany to the former Federal Republic of Germany on 3rd October 1990, followed by the German Reunification, divides the period of this comparative study into two different phases: - from 1970 until 3rd October 1990: German Democratic Republic,- from 3rd October 1990 until 2000: the New Länder in the Federal Republic of Germany. For each of these two periods, extensive statistical data are available, which have been collected from the different statistical systems of the GDR and the Federal Republic of Germany. These two systems originated and developed from different socio-economic and political backgrounds. As to the field of study examined here – the complete national economy in total figures -, this means that the generated figures for the quantitative representation of the national economic output, employment, and consumption rely on different theoretical basises and statistical analogies, which makes a direct comparison of the data impossible. With the publication at hand, the author intends to make a contribution to closing the existing data gap.´ (Heske, G., 2005: Gross Domestic Product, Consumption, and Employment in East Germany 1970-2000. New Results of Comprehensive Calculations on the National Economy. Historical Social Research/Historische Sozialforschung. Supplement/Beiheft No. 17. Cologne: Zentrum für Historische Sozialforschung, S. 10-12). Factual classification of the tables in HISTAT:1. German Democratic Republic from 1970 until 19891.0.0 Gross domestic product, gross value added, gainfully employed persons, labour productivity, domestic utilisation1.1.0 Gross value added per economic domain, in million euro 95 (1970-1989)1.1.1 Gross value added, index of 1970 = 100 (1970-1989)1.1.2 Gross value added in percent per economic domain (1970-1989)1.2.0 Gainfully employed persons per economic domain (1970-1989)1.2.1 Gainfully employed persons per economic domain, index of 1970 = 100 (1970-1989)1.2.2 Gainfully employed persons in percent per economic domain (1970-1989)1.3.0 Labour productivity per economic domain, in euro 95 (1970-1989)1.3.1 Labour productivity per economic domain, index of 1970 = 100 (1970-1989)1.3.2 Labour productivity, total percentage according to economic domain (1970-1989)1.4.0 Utilisation of gross domestic product (GDP) in million euro 95 (1970-1989)1.4.1 Utilisation of gross domestic product, index of 1970 = 100 (1970-1989)1.4.2 Utilisation of gross domestic product, percentage of domestic utilisation (1970-1989) 2. Federal Republic of Germany 1970 until 19892.0.0 Gross domestic product, gross value added, gainfully employed persons, labour productivity, domestic utilisation (1970-1989)2.1.0 Utilisation of gross domestic product, percentage of domestic utilisation (1970-1989)2.1.1 Utilisation of gross domestic product, percentage of domestic utilisation (1970-1989)2.1.2 Gross value added in percent according to economic domain (1970-1989)2.2.0 Gainfully employed persons per economic domain (1970-1989)2.2.1 Gainfully employed persons, index of 1970 = 100 (1970-1989)2.2.2 Gainfully employed persons in percent per economic domain (1970-1989)2.3.0 Labour productivity per economic domain, euro 95 (1970-1989)2.3.1 Labour productivity per economic domain, index of 1970 = 100 (1970-1989)2.3.2 Labour productivity, total percentage per economic domain (1970-1989)2.4.0 Utilisation of gross domestic product (GDP) in million euro 95 (1970-1989)2.4.1 Utilisation of gross domestic product, index of 1970 = 100 (1970-1989)2.4.2 Utilisation of gross domestic product, percentage of domestic utilisation (1970-1989) 3. New Länder including Berlin from 1970 until 20003.0.0 Gross domestic product, gross value added, gainfully employed persons, labour productivity, domestic utilisation (1970-2000)3.1.0 Gross value added per economic domain, in million euro 95 (1970-2000)3.1.1 Gross value added, index of 1970 = 100 (1970-2000)3.1.2 Gross value added, index of 1989 = 100 (1970-2000)3.1.3 Gross value added in percent according to economic domain (1970-2000)3.2.0 Gainfully employed persons according to economi...

Germany DE: LPI: swda: Professional ,Technical and Admin Support data was reported at 112.990 2015=100 in Jun 2024. This records an increase from the previous number of 111.890 2015=100 for Mar 2024. Germany DE: LPI: swda: Professional ,Technical and Admin Support data is updated quarterly, averaging 113.140 2015=100 from Mar 1991 (Median) to Jun 2024, with 134 observations. The data reached an all-time high of 170.750 2015=100 in Jun 1993 and a record low of 96.790 2015=100 in Jun 2020. Germany DE: LPI: swda: Professional ,Technical and Admin Support data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s Germany – Table DE.European Central Bank: Labour Productivity Index: 2015=100.

This paper assesses the causal relationship between POW assignments and labor productivity for a vital sector of the German World War I economy, namely coal mining. Prisoners of war (POWs) provided significant labor. Combining data on all Ruhr mines with a treatment-effects approach, I find that POW employment alone accounted for 36% of the average POW-employing mine’s annual productivity decline over wartime. Estimates also suggest that the representative POW’s productivity averaged 32% of the representative regular miner’s productivity, and that POWs’ contribution to wartime coal output amounted to 3.9%. Violence did not serve as a powerful work incentive. The deposited files include a stata-file containing the data, a word-file containing the stata-code needed to replicate the results shown in the paper, and an excel-file containing the data on two figures.

In 2024, the labor productivity in Vietnam reached 222 million Vietnamese dong per employed person at current prices, indicating a continuing growth in labor productivity. In the previous year, the country's labor force reached approximately 53 million.