Value Added (Agriculture, Forestry and Fishing) — Value Standard in Poland
Poland: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 47,961 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Poland, 1970–2024
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 47,961 million SLC, measured in 2024.
That represents a change of down 0.8% on the previous year and down 2.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Poland peaked at 52,575 million SLC in 1995 and was at its lowest, 17,963 million SLC, in 1970.
That places Poland 83rd out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Poland, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 17,963 million SLC | — |
| 1971 | 19,292 million SLC | +7.4% |
| 1972 | 20,190 million SLC | +4.7% |
| 1973 | 21,038 million SLC | +4.2% |
| 1974 | 22,548 million SLC | +7.2% |
| 1975 | 23,885 million SLC | +5.9% |
| 1976 | 25,746 million SLC | +7.8% |
| 1977 | 27,560 million SLC | +7.0% |
| 1978 | 29,099 million SLC | +5.6% |
| 1979 | 30,316 million SLC | +4.2% |
| 1980 | 28,384 million SLC | -6.4% |
| 1981 | 25,378 million SLC | -10.6% |
| 1982 | 24,266 million SLC | -4.4% |
| 1983 | 25,934 million SLC | +6.9% |
| 1984 | 27,685 million SLC | +6.8% |
| 1985 | 27,569 million SLC | -0.4% |
| 1986 | 28,098 million SLC | +1.9% |
| 1987 | 30,409 million SLC | +8.2% |
| 1988 | 33,342 million SLC | +9.6% |
| 1989 | 33,457 million SLC | +0.3% |
| 1990 | 21,520 million SLC | -35.7% |
| 1991 | 22,447 million SLC | +4.3% |
| 1992 | 36,565 million SLC | +62.9% |
| 1993 | 39,912 million SLC | +9.2% |
| 1994 | 34,967 million SLC | -12.4% |
| 1995 | 52,575 million SLC | +50.4% |
| 1996 | 51,201 million SLC | -2.6% |
| 1997 | 46,836 million SLC | -8.5% |
| 1998 | 41,963 million SLC | -10.4% |
| 1999 | 37,043 million SLC | -11.7% |
| 2000 | 36,612 million SLC | -1.2% |
| 2001 | 39,598 million SLC | +8.2% |
| 2002 | 40,508 million SLC | +2.3% |
| 2003 | 41,764 million SLC | +3.1% |
| 2004 | 44,730 million SLC | +7.1% |
| 2005 | 43,992 million SLC | -1.7% |
| 2006 | 41,858 million SLC | -4.9% |
| 2007 | 43,933 million SLC | +5.0% |
| 2008 | 43,379 million SLC | -1.3% |
| 2009 | 48,378 million SLC | +11.5% |
| 2010 | 48,413 million SLC | +0.1% |
| 2011 | 48,798 million SLC | +0.8% |
| 2012 | 44,316 million SLC | -9.2% |
| 2013 | 48,262 million SLC | +8.9% |
| 2014 | 49,126 million SLC | +1.8% |
| 2015 | 44,943 million SLC | -8.5% |
| 2016 | 45,156 million SLC | +0.5% |
| 2017 | 45,835 million SLC | +1.5% |
| 2018 | 41,866 million SLC | -8.7% |
| 2019 | 40,994 million SLC | -2.1% |
| 2020 | 47,165 million SLC | +15.1% |
| 2021 | 41,885 million SLC | -11.2% |
| 2022 | 42,302 million SLC | +1.0% |
| 2023 | 48,362 million SLC | +14.3% |
| 2024 | 47,961 million SLC | -0.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 23,764 million SLC | 17,963 million SLC | 30,316 million SLC | 10 |
| 1980s | 28,452 million SLC | 24,266 million SLC | 33,457 million SLC | 10 |
| 1990s | 38,503 million SLC | 21,520 million SLC | 52,575 million SLC | 10 |
| 2000s | 42,475 million SLC | 36,612 million SLC | 48,378 million SLC | 10 |
| 2010s | 45,771 million SLC | 40,994 million SLC | 49,126 million SLC | 10 |
| 2020s | 45,535 million SLC | 41,885 million SLC | 48,362 million SLC | 5 |
Countries ranked near Poland
- 80 Mauritania 56,156 million SLC compare
- 81 Peru 55,350 million SLC compare
- 82 Norway 50,142 million SLC compare
- 84 Sweden 43,608 million SLC compare
- 85 North Macedonia 43,023 million SLC compare
- 86 New Caledonia 41,552 million SLC compare
More environment data for Poland
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.777 °C (2025)
- Temperature change 2.06 °C (2025)
- Sawnwood, non-coniferous — Export quantity, annual growth rate 0.1599 % change on previous year (2024)
- Sawnwood, non-coniferous — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Export quantity, per capita 0.0059 m3 per person (2024)
- Sawnwood, non-coniferous — Export value, annual growth rate -2.73 % change on previous year (2024)
- Sawnwood, non-coniferous — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood, non-coniferous — Export value, per capita 0.005 1000 USD per person (2024)
- Wood-based panels — Import quantity, annual growth rate 3.89 % change on previous year (2024)
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 47,961 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 52,575 million SLC in 1995.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Poland?
- The lowest recorded value was 17,963 million SLC in 1970.
- How does Poland rank for value added (agriculture, forestry and fishing) — value standard?
- Poland ranks 83rd out of 191 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 down 2.4%. The long-run trend across the full record is rising.
- 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, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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About this data
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).