Meat of cattle with the bone, fresh or chilled (indigenous) — Gross in Eastern Asia
Eastern Asia: Meat of cattle with the bone, fresh or chilled (indigenous) — Gross was 34.34 million 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
34.34 million 1000 Int$
Change on year
up 2.5%
Rank
7th
of 29 groups
All-time high
34.34 million 1000 Int$
in 2024
All-time low
1.24 million 1000 Int$
in 1961
Years of data
64
1961–2024
Meat of cattle with the bone, fresh or chilled (indigenous) — Gross in Eastern Asia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for meat of cattle with the bone, fresh or chilled (indigenous) — gross in Eastern Asia is 34.34 million 1000 Int$, measured in 2024. That is the highest value across all 64 years on record.
Compared with earlier readings it is up 2.5% on the previous year and up 24.0% over ten years.
Over the whole period, meat of cattle with the bone, fresh or chilled (indigenous) — gross in Eastern Asia peaked at 34.34 million 1000 Int$ in 2024 and was at its lowest, 1.24 million 1000 Int$, in 1961.
Eastern Asia ranks 7th of 29 groups on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Meat of cattle with the bone, fresh or chilled (indigenous) — Gross in Eastern Asia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 1.24 million 1000 Int$ | — |
| 1962 | 1.28 million 1000 Int$ | +3.6% |
| 1963 | 1.55 million 1000 Int$ | +20.6% |
| 1964 | 1.89 million 1000 Int$ | +22.3% |
| 1965 | 1.84 million 1000 Int$ | -2.5% |
| 1966 | 1.58 million 1000 Int$ | -14.0% |
| 1967 | 1.66 million 1000 Int$ | +4.7% |
| 1968 | 1.73 million 1000 Int$ | +4.1% |
| 1969 | 2.01 million 1000 Int$ | +16.3% |
| 1970 | 2.21 million 1000 Int$ | +10.0% |
| 1971 | 2.35 million 1000 Int$ | +6.5% |
| 1972 | 2.54 million 1000 Int$ | +8.1% |
| 1973 | 2.29 million 1000 Int$ | -10.1% |
| 1974 | 2.70 million 1000 Int$ | +18.0% |
| 1975 | 3.03 million 1000 Int$ | +12.5% |
| 1976 | 2.77 million 1000 Int$ | -8.8% |
| 1977 | 3.01 million 1000 Int$ | +8.9% |
| 1978 | 3.25 million 1000 Int$ | +7.9% |
| 1979 | 3.44 million 1000 Int$ | +5.5% |
| 1980 | 3.63 million 1000 Int$ | +5.7% |
| 1981 | 3.87 million 1000 Int$ | +6.7% |
| 1982 | 3.89 million 1000 Int$ | +0.5% |
| 1983 | 4.02 million 1000 Int$ | +3.3% |
| 1984 | 4.54 million 1000 Int$ | +13.0% |
| 1985 | 5.03 million 1000 Int$ | +10.7% |
| 1986 | 5.68 million 1000 Int$ | +13.0% |
| 1987 | 6.55 million 1000 Int$ | +15.3% |
| 1988 | 6.91 million 1000 Int$ | +5.6% |
| 1989 | 7.24 million 1000 Int$ | +4.8% |
| 1990 | 7.94 million 1000 Int$ | +9.6% |
| 1991 | 8.79 million 1000 Int$ | +10.6% |
| 1992 | 10.07 million 1000 Int$ | +14.6% |
| 1993 | 12.25 million 1000 Int$ | +21.6% |
| 1994 | 13.02 million 1000 Int$ | +6.3% |
| 1995 | 15.08 million 1000 Int$ | +15.8% |
| 1996 | 16.74 million 1000 Int$ | +11.0% |
| 1997 | 19.80 million 1000 Int$ | +18.3% |
| 1998 | 21.66 million 1000 Int$ | +9.4% |
| 1999 | 23.91 million 1000 Int$ | +10.4% |
| 2000 | 24.04 million 1000 Int$ | +0.6% |
| 2001 | 23.04 million 1000 Int$ | -4.2% |
| 2002 | 23.78 million 1000 Int$ | +3.2% |
| 2003 | 24.22 million 1000 Int$ | +1.8% |
| 2004 | 24.97 million 1000 Int$ | +3.1% |
| 2005 | 25.26 million 1000 Int$ | +1.1% |
| 2006 | 26.12 million 1000 Int$ | +3.4% |
| 2007 | 27.63 million 1000 Int$ | +5.8% |
| 2008 | 27.53 million 1000 Int$ | -0.4% |
| 2009 | 28.03 million 1000 Int$ | +1.8% |
| 2010 | 27.90 million 1000 Int$ | -0.5% |
| 2011 | 27.30 million 1000 Int$ | -2.2% |
| 2012 | 27.67 million 1000 Int$ | +1.4% |
| 2013 | 27.71 million 1000 Int$ | +0.1% |
| 2014 | 27.70 million 1000 Int$ | -0.0% |
| 2015 | 27.80 million 1000 Int$ | +0.3% |
| 2016 | 27.54 million 1000 Int$ | -0.9% |
| 2017 | 28.26 million 1000 Int$ | +2.6% |
| 2018 | 28.74 million 1000 Int$ | +1.7% |
| 2019 | 29.58 million 1000 Int$ | +2.9% |
| 2020 | 30.00 million 1000 Int$ | +1.4% |
| 2021 | 30.77 million 1000 Int$ | +2.6% |
| 2022 | 31.89 million 1000 Int$ | +3.7% |
| 2023 | 33.50 million 1000 Int$ | +5.0% |
| 2024 | 34.34 million 1000 Int$ | +2.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.64 million 1000 Int$ | 1.24 million 1000 Int$ | 2.01 million 1000 Int$ | 9 |
| 1970s | 2.76 million 1000 Int$ | 2.21 million 1000 Int$ | 3.44 million 1000 Int$ | 10 |
| 1980s | 5.14 million 1000 Int$ | 3.63 million 1000 Int$ | 7.24 million 1000 Int$ | 10 |
| 1990s | 14.92 million 1000 Int$ | 7.94 million 1000 Int$ | 23.91 million 1000 Int$ | 10 |
| 2000s | 25.46 million 1000 Int$ | 23.04 million 1000 Int$ | 28.03 million 1000 Int$ | 10 |
| 2010s | 28.02 million 1000 Int$ | 27.30 million 1000 Int$ | 29.58 million 1000 Int$ | 10 |
| 2020s | 32.10 million 1000 Int$ | 30.00 million 1000 Int$ | 34.34 million 1000 Int$ | 5 |
Countries ranked near Eastern Asia
- 4 China, mainland 30.16 million 1000 Int$ compare
- 5 United Republic of Tanzania 2.87 million 1000 Int$ compare
- 5 Australia and New Zealand 14.34 million 1000 Int$ compare
- 6 Argentina 13.68 million 1000 Int$ compare
- 6 Venezuela (Bolivarian Republic of) 1.75 million 1000 Int$ compare
- 7 Australia 11.15 million 1000 Int$ compare
- 7 Bolivia (Plurinational State of) 1.50 million 1000 Int$ compare
- 8 Mexico 9.70 million 1000 Int$ compare
- 8 Viet Nam 1.03 million 1000 Int$ compare
- 9 Iran (Islamic Republic of) 1.01 million 1000 Int$ compare
- 9 Russian Federation 7.29 million 1000 Int$ compare
- 10 France 6.17 million 1000 Int$ compare
More agriculture & rural data for Eastern Asia
- Roots and Tubers, Total — Area harvested, annual growth rate -0.3825 % change on previous year (2024)
- Sheep and Goat Meat — Producing Animals/Slaughtered, annual growth -6.69 % change on previous year (2024)
- Sheep and Goat Meat — Production, annual growth rate -3.97 % change on previous year (2024)
- Sheep and Goat Meat — Yield/Carcass Weight, annual growth rate 0 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 1.25 % change on previous year (2024)
- Roots and Tubers, Total — Production, annual growth rate 0.7935 % change on previous year (2024)
- Roots and Tubers, Total — Yield, annual growth rate 1.18 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Production, annual -1.47 % change on previous year (2024)
- Swine / pigs — Stocks, annual growth rate -1.56 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Producing -3.14 % change on previous year (2024)
Frequently asked questions
- What is meat of cattle with the bone, fresh or chilled (indigenous) — gross in Eastern Asia?
- Meat of cattle with the bone, fresh or chilled (indigenous) — gross in Eastern Asia was 34.34 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest meat of cattle with the bone, fresh or chilled (indigenous) — gross recorded in Eastern Asia?
- The highest recorded value was 34.34 million 1000 Int$ in 2024.
- What is the lowest meat of cattle with the bone, fresh or chilled (indigenous) — gross recorded in Eastern Asia?
- The lowest recorded value was 1.24 million 1000 Int$ in 1961.
- How does Eastern Asia rank for meat of cattle with the bone, fresh or chilled (indigenous) — gross?
- Eastern Asia ranks 7th out of 29 groups with data for 2024.
- Is meat of cattle with the bone, fresh or chilled (indigenous) — gross rising or falling in Eastern Asia?
- Over the last ten years it is up 24.0%. The long-run trend across the full record is volatile.
- Where does this Eastern Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat of cattle with the bone, fresh or chilled (indigenous) — 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.