Lithuania's agriculture, forestry, and fishing, value added per worker (constant 2015 US$) was US$22,070 in 2025, the latest year in the World Bank's World Development Indicators. That is up 87.33% from US$11,781 in 2015 (6.48% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | US$22,070 | 2025 |
| Five years earlier | US$20,576 | 2020 |
| Ten years earlier | US$11,781 | 2015 |
| Highest | US$22,070 | 2025 |
| Lowest | US$3,563 | 1995 |
| Average since 2016 | US$17,549 | 2016–2025 |
| First recorded | US$3,563 |
What the numbers say
In 2025, Lithuania's agriculture, forestry, and fishing, value added per worker (constant 2015 US$) rose US$807.12 on 2024 (from US$21,263 to US$22,070).
Across the 29 yearly changes before that (1996 to 2024), the average change was +US$610.34 and a typical year strayed about US$1,355 from that (the standard deviation). This year's change was 0.1 standard deviations above that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
On record, the biggest yearly rise was US$5,387 in 2020 and the biggest yearly fall was US$1,263 in 2022. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2016 to 2025 the straight-line trend is upward, about US$1,149 a year. A straight line explains 82% of the movement over 10 observed years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
A straight-line projection, tested first
Extending that straight line gives about US$25,791 for 2028. We show this only because the same method, fitted on earlier years, predicted 2023 to 2025 better than "no change" would have: its average miss was US$304.34, against US$2,248 for assuming no change. Treat it as a continuation of the recent pattern, not a forecast of events: it cannot see a recession, a policy change or a revision to the data.
See how a linear trend forecast works and the guide on forecasting without fooling yourself.
How it compares
In 2025, Lithuania had the 34th highest value of the 151 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.
| Value | Year | |
|---|---|---|
| Lithuania | US$22,070 | 2025 |
| World | US$4,264 | 2025 |
| Europe & Central Asia | US$17,326 | 2025 |
| High income | US$30,775 | 2025 |
Closest to Lithuania in the 2025 ranking
What this measures
Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats.Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
Limitations: For comparability of individual sectors labor productivity is estimated according to national accounts conventions. However, there are still significant limitations on the availability of reliable data. Information on consistent series of output is not easily available, especially in low- and middle-income countries, because the definition, coverage, and methodology are not always consistent across countries. For more details, see Agriculture, forestry, and fishing, value added (constant 2015 US$) [NV.AGR.TOTL.KD], Industry (including construction), value added (constant 2015 US$) [NV.IND.TOTL.KD], and Services, value added (constant 2015 US$) [NV.SRV.TOTL.KD].
Regional and income-group figures are computed by the World Bank as a weighted average.
All 31 values
| Year | Agriculture, forestry, and fishing, value added per worker (constant 2015 US$) |
|---|---|
| 2025 | 22,070 |
| 2024 | 21,263 |
| 2023 | 19,661 |
| 2022 | 18,750 |
| 2021 | 20,013 |
| 2020 | 20,576 |
| 2019 | 15,189 |
| 2018 | 12,355 |
| 2017 | 13,001 |
| 2016 | 12,612 |
Agriculture, forestry, and fishing, value added per worker (constant 2015 US$) in nearby economies
- Albania — US$5,888 (2025)
- Armenia — US$4,070 (2025)
- Austria — US$38,658 (2025)
- Azerbaijan — US$2,755 (2025)
- Belarus — US$9,357 (2025)
- Belgium — US$65,052 (2025)
- Bosnia and Herzegovina — US$5,250 (2025)
- Bulgaria — US$18,626 (2025)
More economic policy & debt data for Lithuania
- Adjusted savings, education expenditure (% of GNI) — 3.88% (2021)
- Adjusted savings, mineral depletion (current US$) — US$0 (2021)
- Net financial flows, IBRD (NFL, current US$) — US$0 (2016)
- GDP (current LCU) — 84.26 billion (2025)
- GDP, linked series (current LCU) — 84.26 billion (2025)
- GDP (constant 2015 US$) — US$57.09 billion (2025)
- GDP (constant LCU) — 58.54 billion (2025)
- GDP, PPP (current international $) — 164.19 billion (2025)
- GDP, PPP (constant 2021 international $) — 141.09 billion (2025)
- GDP per capita (current LCU) — 29,167 (2025)
Reading data like this
Questions people ask
- What is Lithuania's agriculture, forestry, and fishing, value added per worker (constant 2015 US$)?
- US$22,070 in 2025, according to the World Bank (World Development Indicators).
- How has it changed since 1995?
- It is up 519.43% from US$3,563 in 1995 (6.27% a year on average, compounded). The highest value was US$22,070 in 2025 and the lowest US$3,563 in 1995.
Source
World Bank, World Development Indicators, indicator NV.AGR.EMPL.KD, licensed CC BY 4.0. Original source: World Development Indicators database, World Bank (WB); ILOSTAT database, International Labour Organization (ILO) Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
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