Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Poland

Poland: Value Added (Agriculture, Forestry and Fishing) β€” Value US$ was 23,559 million USD in 2024. β—† Volatile

Latest (2024)
23,559 million USD
Change on year
up 6.0%
World rank
33rd
of 217 countries
All-time high
82,202 million USD
in 1977
All-time low
4,694 million USD
in 1990
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Poland, 1970–2024

020.0k40.0k60.0k80.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million USD.

Analysis

Poland recorded 23,559 million USD for value added (agriculture, forestry and fishing) β€” value us$ in 2024.

That represents a change of up 6.0% on the previous year and up 46.3% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) β€” value us$ in Poland peaked at 82,202 million USD in 1977 and was at its lowest, 4,694 million USD, in 1990.

Poland ranks 33rd of 217 countries on this measure, in the top quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1970s 48,859 million USD 9,288 million USD 82,202 million USD 10
1980s 9,552 million USD 7,682 million USD 10,976 million USD 10
1990s 6,347 million USD 4,694 million USD 8,523 million USD 10
2000s 8,957 million USD 5,518 million USD 14,157 million USD 10
2010s 14,714 million USD 11,923 million USD 16,742 million USD 10
2020s 19,270 million USD 15,476 million USD 23,559 million USD 5

Countries ranked near Poland

  1. 30 Saudi Arabia 30,424 million USD compare
  2. 31 Kenya 26,578 million USD compare
  3. 32 Republic of Korea 25,802 million USD compare
  4. 35 United Republic of Tanzania 21,277 million USD compare
  5. 36 Uzbekistan 21,268 million USD compare

See the full ranking of 249 places β†’

More environment data for Poland

All data for Poland β†’

Frequently asked questions

What is value added (agriculture, forestry and fishing) β€” value us$ in Poland?
Value added (agriculture, forestry and fishing) β€” value us$ in Poland was 23,559 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) β€” value us$ recorded in Poland?
The highest recorded value was 82,202 million USD in 1977.
What is the lowest value added (agriculture, forestry and fishing) β€” value us$ recorded in Poland?
The lowest recorded value was 4,694 million USD in 1990.
How does Poland rank for value added (agriculture, forestry and fishing) β€” value us$?
Poland ranks 33rd out of 217 countries with data for 2024.
Is value added (agriculture, forestry and fishing) β€” value us$ rising or falling in Poland?
Over the last ten years it is up 46.3%. The long-run trend across the full record is volatile.
Where does this Poland data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) β€” Value US$. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Poland. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us/poland/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) β€” Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).