Cereals n.e.c. — Gross Production Value in Oceania
Oceania: Cereals n.e.c. — Gross Production Value was 4,360 1000 Int$ in 2024. ◆ Volatile
Cereals n.e.c. — Gross Production Value in Oceania, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Oceania recorded 4,360 1000 Int$ for cereals n.e.c. — gross production value in 2024.
That represents a change of up 0.8% on the previous year and up 120.6% over ten years.
Over the whole period, cereals n.e.c. — gross production value in Oceania peaked at 7,272 1000 Int$ in 1975 and was at its lowest, 730 1000 Int$, in 1983.
That places Oceania 22nd out of 24 groups with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Cereals n.e.c. — Gross Production Value in Oceania, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 1,454 1000 Int$ | — |
| 1962 | 1,454 1000 Int$ | +0.0% |
| 1963 | 1,454 1000 Int$ | +0.0% |
| 1964 | 1,454 1000 Int$ | +0.0% |
| 1965 | 1,454 1000 Int$ | +0.0% |
| 1966 | 2,909 1000 Int$ | +100.1% |
| 1967 | 2,909 1000 Int$ | +0.0% |
| 1968 | 2,909 1000 Int$ | +0.0% |
| 1969 | 2,909 1000 Int$ | +0.0% |
| 1970 | 1,164 1000 Int$ | -60.0% |
| 1971 | 1,164 1000 Int$ | +0.0% |
| 1972 | 1,164 1000 Int$ | +0.0% |
| 1973 | 2,909 1000 Int$ | +149.9% |
| 1974 | 4,363 1000 Int$ | +50.0% |
| 1975 | 7,272 1000 Int$ | +66.7% |
| 1976 | 5,818 1000 Int$ | -20.0% |
| 1977 | 4,363 1000 Int$ | -25.0% |
| 1978 | 4,363 1000 Int$ | +0.0% |
| 1979 | 4,363 1000 Int$ | +0.0% |
| 1980 | 935 1000 Int$ | -78.6% |
| 1981 | 1,586 1000 Int$ | +69.6% |
| 1982 | 879 1000 Int$ | -44.6% |
| 1983 | 730 1000 Int$ | -17.0% |
| 1984 | 1,063 1000 Int$ | +45.6% |
| 1985 | 1,152 1000 Int$ | +8.4% |
| 1986 | 1,290 1000 Int$ | +12.0% |
| 1987 | 2,376 1000 Int$ | +84.2% |
| 1988 | 1,838 1000 Int$ | -22.6% |
| 1989 | 1,454 1000 Int$ | -20.9% |
| 1990 | 1,884 1000 Int$ | +29.6% |
| 1991 | 1,662 1000 Int$ | -11.8% |
| 1992 | 1,425 1000 Int$ | -14.3% |
| 1993 | 1,251 1000 Int$ | -12.2% |
| 1994 | 1,513 1000 Int$ | +20.9% |
| 1995 | 1,425 1000 Int$ | -5.8% |
| 1996 | 2,589 1000 Int$ | +81.7% |
| 1997 | 2,618 1000 Int$ | +1.1% |
| 1998 | 2,618 1000 Int$ | +0.0% |
| 1999 | 2,909 1000 Int$ | +11.1% |
| 2000 | 3,232 1000 Int$ | +11.1% |
| 2001 | 3,548 1000 Int$ | +9.8% |
| 2002 | 3,829 1000 Int$ | +7.9% |
| 2003 | 3,520 1000 Int$ | -8.1% |
| 2004 | 4,656 1000 Int$ | +32.3% |
| 2005 | 3,345 1000 Int$ | -28.2% |
| 2006 | 1,658 1000 Int$ | -50.4% |
| 2007 | 3,988 1000 Int$ | +140.5% |
| 2008 | 4,708 1000 Int$ | +18.1% |
| 2009 | 4,072 1000 Int$ | -13.5% |
| 2010 | 3,400 1000 Int$ | -16.5% |
| 2011 | 2,771 1000 Int$ | -18.5% |
| 2012 | 3,416 1000 Int$ | +23.3% |
| 2013 | 2,635 1000 Int$ | -22.9% |
| 2014 | 1,976 1000 Int$ | -25.0% |
| 2015 | 2,485 1000 Int$ | +25.8% |
| 2016 | 4,650 1000 Int$ | +87.1% |
| 2017 | 6,878 1000 Int$ | +47.9% |
| 2018 | 3,133 1000 Int$ | -54.4% |
| 2019 | 4,887 1000 Int$ | +56.0% |
| 2020 | 4,966 1000 Int$ | +1.6% |
| 2021 | 4,325 1000 Int$ | -12.9% |
| 2022 | 4,288 1000 Int$ | -0.9% |
| 2023 | 4,324 1000 Int$ | +0.8% |
| 2024 | 4,360 1000 Int$ | +0.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2,101 1000 Int$ | 1,454 1000 Int$ | 2,909 1000 Int$ | 9 |
| 1970s | 3,694 1000 Int$ | 1,164 1000 Int$ | 7,272 1000 Int$ | 10 |
| 1980s | 1,330 1000 Int$ | 730 1000 Int$ | 2,376 1000 Int$ | 10 |
| 1990s | 1,989 1000 Int$ | 1,251 1000 Int$ | 2,909 1000 Int$ | 10 |
| 2000s | 3,656 1000 Int$ | 1,658 1000 Int$ | 4,708 1000 Int$ | 10 |
| 2010s | 3,623 1000 Int$ | 1,976 1000 Int$ | 6,878 1000 Int$ | 10 |
| 2020s | 4,453 1000 Int$ | 4,288 1000 Int$ | 4,966 1000 Int$ | 5 |
Countries ranked near Oceania
- 19 Republic of Korea 6,265 1000 Int$ compare
- 20 Argentina 5,016 1000 Int$ compare
- 21 Sierra Leone 4,627 1000 Int$ compare
- 22 New Zealand 4,360 1000 Int$ compare
- 22 Australia and New Zealand 4,360 1000 Int$ compare
- 24 Burundi 4,124 1000 Int$ compare
- 25 Hungary 3,797 1000 Int$ compare
More agriculture & rural data for Oceania
- Tomatoes — Production, annual growth rate 30.96 % change on previous year (2024)
- Raw hides and skins of cattle — Production 378,227 t (2024)
- Raw hides and skins of sheep or lambs — Producing Animals/Slaughtered 60.45 million An (2024)
- Raw hides and skins of sheep or lambs — Production 285,944 t (2024)
- Raw hides and skins of sheep or lambs — Yield/Carcass Weight 5 kg/An (2024)
- Raw hides and skins of goats or kids — Producing Animals/Slaughtered 3.58 million An (2024)
- Raw hides and skins of goats or kids — Production 15,952 t (2024)
- Raw hides and skins of goats or kids — Yield/Carcass Weight 4 kg/An (2024)
- Raw hides and skins of cattle — Producing Animals/Slaughtered 13.45 million An (2024)
- Other vegetables, fresh n.e.c. — Yield 15,122 kg/ha (2024)
Frequently asked questions
- What is cereals n.e.c. — gross production value in Oceania?
- Cereals n.e.c. — gross production value in Oceania was 4,360 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest cereals n.e.c. — gross production value recorded in Oceania?
- The highest recorded value was 7,272 1000 Int$ in 1975.
- What is the lowest cereals n.e.c. — gross production value recorded in Oceania?
- The lowest recorded value was 730 1000 Int$ in 1983.
- How does Oceania rank for cereals n.e.c. — gross production value?
- Oceania ranks 22nd out of 24 groups with data for 2024.
- Is cereals n.e.c. — gross production value rising or falling in Oceania?
- Over the last ten years it is up 120.6%. The long-run trend across the full record is volatile.
- Where does this Oceania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cereals n.e.c. — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.