Value Added (Agriculture, Forestry and Fishing) — Value Standard in Poland

Poland: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 93,785 million SLC in 2024. ◆ Volatile

Latest (2024)
93,785 million SLC
Change on year
up 0.3%
World rank
81st
of 199 countries
All-time high
93,785 million SLC
in 2024
All-time low
15.36 million SLC
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Poland, 1970–2024

020.0k40.0k60.0k80.0k100.0k197019972024

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

Analysis

The most recent figure for value added (agriculture, forestry and fishing) — value standard in Poland is 93,785 million SLC, measured in 2024. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 0.3% on the previous year and up 84.6% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Poland peaked at 93,785 million SLC in 2024 and was at its lowest, 15.36 million SLC, in 1970.

Poland ranks 81st of 199 countries on this measure, in the middle of the range.

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

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Poland, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Poland, 1970 to 2024.
Year million SLC Change
1970 15.36 million SLC
1971 16.56 million SLC +7.8%
1972 17.3 million SLC +4.5%
1973 18.64 million SLC +7.7%
1974 20.71 million SLC +11.1%
1975 22.08 million SLC +6.6%
1976 24.66 million SLC +11.7%
1977 27.29 million SLC +10.7%
1978 30.65 million SLC +12.3%
1979 34.42 million SLC +12.3%
1980 35.76 million SLC +3.9%
1981 39.3 million SLC +9.9%
1982 77.62 million SLC +97.5%
1983 96.53 million SLC +24.4%
1984 118.86 million SLC +23.1%
1985 156.92 million SLC +32.0%
1986 185.64 million SLC +18.3%
1987 211.81 million SLC +14.1%
1988 402.11 million SLC +89.8%
1989 1,580 million SLC +292.8%
1990 4,459 million SLC +182.3%
1991 5,210 million SLC +16.9%
1992 7,422 million SLC +42.4%
1993 10,153 million SLC +36.8%
1994 13,447 million SLC +32.4%
1995 19,868 million SLC +47.8%
1996 22,980 million SLC +15.7%
1997 24,242 million SLC +5.5%
1998 24,479 million SLC +1.0%
1999 22,724 million SLC -7.2%
2000 23,982 million SLC +5.5%
2001 26,111 million SLC +8.9%
2002 22,890 million SLC -12.3%
2003 22,880 million SLC -0.0%
2004 31,247 million SLC +36.6%
2005 29,477 million SLC -5.7%
2006 29,474 million SLC -0.0%
2007 36,802 million SLC +24.9%
2008 34,107 million SLC -7.3%
2009 36,130 million SLC +5.9%
2010 42,032 million SLC +16.3%
2011 49,605 million SLC +18.0%
2012 48,434 million SLC -2.4%
2013 52,843 million SLC +9.1%
2014 50,813 million SLC -3.8%
2015 44,943 million SLC -11.6%
2016 48,959 million SLC +8.9%
2017 59,613 million SLC +21.8%
2018 51,878 million SLC -13.0%
2019 54,847 million SLC +5.7%
2020 60,690 million SLC +10.7%
2021 59,765 million SLC -1.5%
2022 87,012 million SLC +45.6%
2023 93,459 million SLC +7.4%
2024 93,785 million SLC +0.3%

Averages by decade

DecadeAverage LowestHighest Years
1970s 22.77 million SLC 15.36 million SLC 34.42 million SLC 10
1980s 290.41 million SLC 35.76 million SLC 1,580 million SLC 10
1990s 15,498 million SLC 4,459 million SLC 24,479 million SLC 10
2000s 29,310 million SLC 22,880 million SLC 36,802 million SLC 10
2010s 50,397 million SLC 42,032 million SLC 59,613 million SLC 10
2020s 78,942 million SLC 59,765 million SLC 93,785 million SLC 5

Countries ranked near Poland

  1. 78 Norway 107,262 million SLC compare
  2. 79 Honduras 103,342 million SLC compare
  3. 80 Nicaragua 99,650 million SLC compare
  4. 82 Guatemala 86,701 million SLC compare
  5. 83 Mauritania 79,445 million SLC compare
  6. 84 Sweden 74,012 million SLC compare

See the full ranking of 215 places →

More environment data for Poland

All data for Poland →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Poland?
Value added (agriculture, forestry and fishing) — value standard in Poland was 93,785 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Poland?
The highest recorded value was 93,785 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Poland?
The lowest recorded value was 15.36 million SLC in 1970.
How does Poland rank for value added (agriculture, forestry and fishing) — value standard?
Poland ranks 81st out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Poland?
Over the last ten years it is up 84.6%. 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) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Poland. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 25 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/poland/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 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).