Other pulses n.e.c. — Gross Production Value in Poland
Poland: Other pulses n.e.c. — Gross Production Value was 259,879 1000 Int$ in 2017. ▲ Rising
Latest (2017)
259,879 1000 Int$
Change on year
up 96.6%
World rank
4th
of 112 countries
All-time high
331,742 1000 Int$
in 1991
All-time low
52,329 1000 Int$
in 1980
Years of data
57
1961–2017
Other pulses n.e.c. — Gross Production Value in Poland, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for other pulses n.e.c. — gross production value in Poland is 259,879 1000 Int$, measured in 2017.
That represents a change of up 96.6% on the previous year and up 122.7% over ten years.
Over the whole period, other pulses n.e.c. — gross production value in Poland peaked at 331,742 1000 Int$ in 1991 and was at its lowest, 52,329 1000 Int$, in 1980.
Poland ranks 4th of 112 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 57 years of available data.
Other pulses n.e.c. — Gross Production Value in Poland, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 98,356 1000 Int$ | — |
| 1962 | 100,023 1000 Int$ | +1.7% |
| 1963 | 98,356 1000 Int$ | -1.7% |
| 1964 | 85,853 1000 Int$ | -12.7% |
| 1965 | 110,859 1000 Int$ | +29.1% |
| 1966 | 94,188 1000 Int$ | -15.0% |
| 1967 | 96,689 1000 Int$ | +2.7% |
| 1968 | 61,681 1000 Int$ | -36.2% |
| 1969 | 81,685 1000 Int$ | +32.4% |
| 1970 | 90,854 1000 Int$ | +11.2% |
| 1971 | 77,518 1000 Int$ | -14.7% |
| 1972 | 80,852 1000 Int$ | +4.3% |
| 1973 | 81,685 1000 Int$ | +1.0% |
| 1974 | 117,527 1000 Int$ | +43.9% |
| 1975 | 110,609 1000 Int$ | -5.9% |
| 1976 | 83,019 1000 Int$ | -24.9% |
| 1977 | 61,847 1000 Int$ | -25.5% |
| 1978 | 70,099 1000 Int$ | +13.3% |
| 1979 | 63,548 1000 Int$ | -9.3% |
| 1980 | 52,329 1000 Int$ | -17.7% |
| 1981 | 63,835 1000 Int$ | +22.0% |
| 1982 | 91,887 1000 Int$ | +43.9% |
| 1983 | 115,535 1000 Int$ | +25.7% |
| 1984 | 169,654 1000 Int$ | +46.8% |
| 1985 | 173,855 1000 Int$ | +2.5% |
| 1986 | 208,320 1000 Int$ | +19.8% |
| 1987 | 232,146 1000 Int$ | +11.4% |
| 1988 | 268,629 1000 Int$ | +15.7% |
| 1989 | 295,665 1000 Int$ | +10.1% |
| 1990 | 299,652 1000 Int$ | +1.3% |
| 1991 | 331,742 1000 Int$ | +10.7% |
| 1992 | 171,372 1000 Int$ | -48.3% |
| 1993 | 185,042 1000 Int$ | +8.0% |
| 1994 | 90,020 1000 Int$ | -51.4% |
| 1995 | 99,189 1000 Int$ | +10.2% |
| 1996 | 106,858 1000 Int$ | +7.7% |
| 1997 | 97,939 1000 Int$ | -8.3% |
| 1998 | 123,445 1000 Int$ | +26.0% |
| 1999 | 159,120 1000 Int$ | +28.9% |
| 2000 | 125,028 1000 Int$ | -21.4% |
| 2001 | 91,271 1000 Int$ | -27.0% |
| 2002 | 112,192 1000 Int$ | +22.9% |
| 2003 | 138,365 1000 Int$ | +23.3% |
| 2004 | 128,613 1000 Int$ | -7.0% |
| 2005 | 105,024 1000 Int$ | -18.3% |
| 2006 | 125,028 1000 Int$ | +19.0% |
| 2007 | 116,693 1000 Int$ | -6.7% |
| 2008 | 112,526 1000 Int$ | -3.6% |
| 2009 | 130,683 1000 Int$ | +16.1% |
| 2010 | 123,952 1000 Int$ | -5.2% |
| 2011 | 150,688 1000 Int$ | +21.6% |
| 2012 | 269,327 1000 Int$ | +78.7% |
| 2013 | 169,529 1000 Int$ | -37.1% |
| 2014 | 257,630 1000 Int$ | +52.0% |
| 2015 | 231,744 1000 Int$ | -10.0% |
| 2016 | 132,177 1000 Int$ | -43.0% |
| 2017 | 259,879 1000 Int$ | +96.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 91,966 1000 Int$ | 61,681 1000 Int$ | 110,859 1000 Int$ | 9 |
| 1970s | 83,756 1000 Int$ | 61,847 1000 Int$ | 117,527 1000 Int$ | 10 |
| 1980s | 167,186 1000 Int$ | 52,329 1000 Int$ | 295,665 1000 Int$ | 10 |
| 1990s | 166,438 1000 Int$ | 90,020 1000 Int$ | 331,742 1000 Int$ | 10 |
| 2000s | 118,542 1000 Int$ | 91,271 1000 Int$ | 138,365 1000 Int$ | 10 |
| 2010s | 199,366 1000 Int$ | 123,952 1000 Int$ | 269,327 1000 Int$ | 8 |
Countries ranked near Poland
- 1 India 534,205 1000 Int$ compare
- 2 Bangladesh 357,774 1000 Int$ compare
- 3 Mozambique 268,138 1000 Int$ compare
- 5 United Kingdom of Great Britain and Northern Ireland 223,361 1000 Int$ compare
- 6 China 124,497 1000 Int$ compare
- 6 China, mainland 124,497 1000 Int$ 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)
- Agriculture share gdp 2.45 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.45 (2025)
- Agricultural raw materials exports 1.0% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is other pulses n.e.c. — gross production value in Poland?
- Other pulses n.e.c. — gross production value in Poland was 259,879 1000 Int$ in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest other pulses n.e.c. — gross production value recorded in Poland?
- The highest recorded value was 331,742 1000 Int$ in 1991.
- What is the lowest other pulses n.e.c. — gross production value recorded in Poland?
- The lowest recorded value was 52,329 1000 Int$ in 1980.
- How does Poland rank for other pulses n.e.c. — gross production value?
- Poland ranks 4th out of 112 countries with data for 2017.
- Is other pulses n.e.c. — gross production value rising or falling in Poland?
- Over the last ten years it is up 122.7%. 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 Other pulses n.e.c. — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
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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.