Meat of geese, fresh or chilled (indigenous) — Gross Production Value in Poland
Poland: Meat of geese, fresh or chilled (indigenous) — Gross Production Value was 259,431 1000 SLC in 2017. ▲ Rising
Meat of geese, fresh or chilled (indigenous) — Gross Production Value in Poland, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
The most recent figure for meat of geese, fresh or chilled (indigenous) — gross production value in Poland is 259,431 1000 SLC, measured in 2017.
That represents a change of down 18.7% on the previous year and up 25.9% over ten years.
Over the whole period, meat of geese, fresh or chilled (indigenous) — gross production value in Poland peaked at 337,423 1000 SLC in 2013 and was at its lowest, 55,986 1000 SLC, in 1988.
Poland ranks 6th of 30 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 57 years of available data.
Meat of geese, fresh or chilled (indigenous) — Gross Production Value in Poland, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 156,759 1000 SLC | — |
| 1962 | 156,759 1000 SLC | +0.0% |
| 1963 | 156,759 1000 SLC | +0.0% |
| 1964 | 156,759 1000 SLC | +0.0% |
| 1965 | 156,759 1000 SLC | +0.0% |
| 1966 | 156,759 1000 SLC | +0.0% |
| 1967 | 156,759 1000 SLC | +0.0% |
| 1968 | 156,759 1000 SLC | +0.0% |
| 1969 | 156,759 1000 SLC | +0.0% |
| 1970 | 156,759 1000 SLC | +0.0% |
| 1971 | 156,759 1000 SLC | +0.0% |
| 1972 | 134,365 1000 SLC | -14.3% |
| 1973 | 134,365 1000 SLC | +0.0% |
| 1974 | 134,365 1000 SLC | +0.0% |
| 1975 | 134,365 1000 SLC | +0.0% |
| 1976 | 123,168 1000 SLC | -8.3% |
| 1977 | 100,774 1000 SLC | -18.2% |
| 1978 | 123,168 1000 SLC | +22.2% |
| 1979 | 111,971 1000 SLC | -9.1% |
| 1980 | 111,971 1000 SLC | +0.0% |
| 1981 | 111,971 1000 SLC | +0.0% |
| 1982 | 100,774 1000 SLC | -10.0% |
| 1983 | 100,774 1000 SLC | +0.0% |
| 1984 | 100,774 1000 SLC | +0.0% |
| 1985 | 100,774 1000 SLC | +0.0% |
| 1986 | 111,971 1000 SLC | +11.1% |
| 1987 | 78,380 1000 SLC | -30.0% |
| 1988 | 55,986 1000 SLC | -28.6% |
| 1989 | 78,380 1000 SLC | +40.0% |
| 1990 | 100,774 1000 SLC | +28.6% |
| 1991 | 91,816 1000 SLC | -8.9% |
| 1992 | 78,380 1000 SLC | -14.6% |
| 1993 | 72,927 1000 SLC | -7.0% |
| 1994 | 91,816 1000 SLC | +25.9% |
| 1995 | 100,774 1000 SLC | +9.8% |
| 1996 | 87,337 1000 SLC | -13.3% |
| 1997 | 61,584 1000 SLC | -29.5% |
| 1998 | 78,380 1000 SLC | +27.3% |
| 1999 | 82,859 1000 SLC | +5.7% |
| 2000 | 77,260 1000 SLC | -6.8% |
| 2001 | 77,260 1000 SLC | +0.0% |
| 2002 | 77,260 1000 SLC | +0.0% |
| 2003 | 103,013 1000 SLC | +33.3% |
| 2004 | 206,027 1000 SLC | +100.0% |
| 2005 | 206,027 1000 SLC | +0.0% |
| 2006 | 206,027 1000 SLC | +0.0% |
| 2007 | 206,027 1000 SLC | +0.0% |
| 2008 | 205,357 1000 SLC | -0.3% |
| 2009 | 206,027 1000 SLC | +0.3% |
| 2010 | 206,027 1000 SLC | +0.0% |
| 2011 | 206,027 1000 SLC | +0.0% |
| 2012 | 305,472 1000 SLC | +48.3% |
| 2013 | 337,423 1000 SLC | +10.5% |
| 2014 | 306,290 1000 SLC | -9.2% |
| 2015 | 310,572 1000 SLC | +1.4% |
| 2016 | 319,025 1000 SLC | +2.7% |
| 2017 | 259,431 1000 SLC | -18.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 156,759 1000 SLC | 156,759 1000 SLC | 156,759 1000 SLC | 9 |
| 1970s | 131,006 1000 SLC | 100,774 1000 SLC | 156,759 1000 SLC | 10 |
| 1980s | 95,176 1000 SLC | 55,986 1000 SLC | 111,971 1000 SLC | 10 |
| 1990s | 84,665 1000 SLC | 61,584 1000 SLC | 100,774 1000 SLC | 10 |
| 2000s | 157,028 1000 SLC | 77,260 1000 SLC | 206,027 1000 SLC | 10 |
| 2010s | 281,283 1000 SLC | 206,027 1000 SLC | 337,423 1000 SLC | 8 |
Countries ranked near Poland
- 3 Hungary 14.39 million 1000 SLC compare
- 3 Türkiye 45,419 1000 SLC compare
- 4 Paraguay 9.70 million 1000 SLC compare
- 4 Syrian Arab Republic 4,842 1000 SLC compare
- 5 Myanmar 6.95 million 1000 SLC compare
- 7 Egypt 205,483 1000 SLC compare
- 8 Philippines 56,714 1000 SLC compare
- 9 Thailand 42,075 1000 SLC compare
More agriculture & rural data for Poland
- Agriculture, forestry, and fishing, value added (current US$), annual 8.98 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0245 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 697.32 current US$ per person (2025)
- Rural population, annual growth rate -0.6232 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3991 units per person (2025)
- Share of GDP from agriculture 2.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.5% (2025)
- Agricultural raw materials exports 1.0% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is meat of geese, fresh or chilled (indigenous) — gross production value in Poland?
- Meat of geese, fresh or chilled (indigenous) — gross production value in Poland was 259,431 1000 SLC in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest meat of geese, fresh or chilled (indigenous) — gross production value recorded in Poland?
- The highest recorded value was 337,423 1000 SLC in 2013.
- What is the lowest meat of geese, fresh or chilled (indigenous) — gross production value recorded in Poland?
- The lowest recorded value was 55,986 1000 SLC in 1988.
- How does Poland rank for meat of geese, fresh or chilled (indigenous) — gross production value?
- Poland ranks 6th out of 30 countries with data for 2017.
- Is meat of geese, fresh or chilled (indigenous) — gross production value rising or falling in Poland?
- Over the last ten years it is up 25.9%. 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 Meat of geese, fresh or chilled (indigenous) — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.
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About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.