Europe & Central Asia vs Germany: Agriculture, forestry, and fishing, value added per worker

Europe & Central Asia
17,326 constant 2015 US$
in 2025
Germany
59,656 constant 2015 US$
in 2025
Europe & Central Asia rank
7th
Germany rank
10th

Agriculture, forestry, and fishing, value added per worker over time

  • Europe & Central Asia
  • Germany
020.0k40.0k60.0k199120082025

How they compare

Germany currently reports 59,656 constant 2015 US$ against 17,326 constant 2015 US$ in Europe & Central Asia, a difference of 42,330 constant 2015 US$.

That makes Germany's figure about 3.4 times Europe & Central Asia's.

Across all 35 years both countries report, Germany has been ahead every year.

Europe & Central Asia ranks 7th and Germany ranks 10th of 46 groups.

Germany has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Europe & Central Asia Germany Difference Ahead
1990s 6,338 constant 2015 US$ 22,245 constant 2015 US$ 15,907 constant 2015 US$ Germany
2000s 8,702 constant 2015 US$ 30,457 constant 2015 US$ 21,755 constant 2015 US$ Germany
2010s 11,947 constant 2015 US$ 43,890 constant 2015 US$ 31,944 constant 2015 US$ Germany
2020s 15,628 constant 2015 US$ 56,197 constant 2015 US$ 40,569 constant 2015 US$ Germany

Averages of every year both report within each decade.

Frequently asked questions

Which has higher agriculture, forestry, and fishing, value added per worker, Europe & Central Asia or Germany?
Germany, at 59,656 constant 2015 US$ against 17,326 constant 2015 US$ in Europe & Central Asia as of 2025.
What is the difference in agriculture, forestry, and fishing, value added per worker between Europe & Central Asia and Germany?
42,330 constant 2015 US$, with Germany ahead.
How many years of comparable data are there for Europe & Central Asia and Germany?
35 years are reported by both, from 1991 to 2025.
How do Europe & Central Asia and Germany rank globally for agriculture, forestry, and fishing, value added per worker?
Europe & Central Asia ranks 7th and Germany ranks 10th of 46 groups.
Where does this data come from?
World Development Indicators database, World Bank (WB), published as Agriculture, forestry, and fishing, value added per worker (constant 2015 US$). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Europe & Central Asia vs Germany: Agriculture, forestry, and fishing, value added per worker. Statizoid, drawing on World Development Indicators database, World Bank (WB). Retrieved 14 September 2026, from https://economy.statizoid.com/compare/agriculture-forestry-and-fishing-value-added-per-worker-constant-2015-us/europe-and-central-asia/germany/

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<a href="https://economy.statizoid.com/compare/agriculture-forestry-and-fishing-value-added-per-worker-constant-2015-us/europe-and-central-asia/germany/">Europe & Central Asia vs Germany: Agriculture, forestry, and fishing, value added per worker</a> — Statizoid

About this data

Indicator
Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)
Unit
constant 2015 US$
Source
World Development Indicators database, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
221 places, 7,177 data points, 1991–2025
Last refreshed

Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats.Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.