Meat of rabbits and hares, fresh or chilled (indigenous) — Gross in Asia

Asia: Meat of rabbits and hares, fresh or chilled (indigenous) — Gross was 1.41 million 1000 Int$ in 2024. ◆ Volatile

Latest (2024)
1.41 million 1000 Int$
Change on year
down 1.4%
Rank
1st
of 10 groups
All-time high
2.19 million 1000 Int$
in 2015
All-time low
36,425 1000 Int$
in 1961
Years of data
64
1961–2024

Meat of rabbits and hares, fresh or chilled (indigenous) — Gross in Asia, 1961–2024

0500.0k1.0M1.5M2.0M196119922024

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.

Analysis

Asia recorded 1.41 million 1000 Int$ for meat of rabbits and hares, fresh or chilled (indigenous) — gross in 2024.

Compared with earlier readings it is down 1.4% on the previous year and down 34.9% over ten years.

Over the whole period, meat of rabbits and hares, fresh or chilled (indigenous) — gross in Asia peaked at 2.19 million 1000 Int$ in 2015 and was at its lowest, 36,425 1000 Int$, in 1961.

The series is highly variable year to year, so single readings are best treated with caution.

Meat of rabbits and hares, fresh or chilled (indigenous) — Gross in Asia, year by year

Annual values for Meat of rabbits and hares, fresh or chilled (indigenous) — Gross Production Value (constant 2014-2016 thousand I$) in Asia, 1961 to 2024.
Year 1000 Int$ Change
1961 36,425 1000 Int$
1962 38,984 1000 Int$ +7.0%
1963 50,393 1000 Int$ +29.3%
1964 55,045 1000 Int$ +9.2%
1965 53,417 1000 Int$ -3.0%
1966 56,452 1000 Int$ +5.7%
1967 78,549 1000 Int$ +39.1%
1968 89,714 1000 Int$ +14.2%
1969 90,658 1000 Int$ +1.1%
1970 84,969 1000 Int$ -6.3%
1971 94,982 1000 Int$ +11.8%
1972 96,908 1000 Int$ +2.0%
1973 102,125 1000 Int$ +5.4%
1974 98,097 1000 Int$ -3.9%
1975 120,047 1000 Int$ +22.4%
1976 127,185 1000 Int$ +5.9%
1977 132,133 1000 Int$ +3.9%
1978 141,109 1000 Int$ +6.8%
1979 148,066 1000 Int$ +4.9%
1980 155,290 1000 Int$ +4.9%
1981 140,903 1000 Int$ -9.3%
1982 140,832 1000 Int$ -0.1%
1983 143,935 1000 Int$ +2.2%
1984 149,974 1000 Int$ +4.2%
1985 142,512 1000 Int$ -5.0%
1986 185,208 1000 Int$ +30.0%
1987 246,772 1000 Int$ +33.2%
1988 275,124 1000 Int$ +11.5%
1989 246,372 1000 Int$ -10.5%
1990 229,444 1000 Int$ -6.9%
1991 256,714 1000 Int$ +11.9%
1992 436,296 1000 Int$ +70.0%
1993 459,348 1000 Int$ +5.3%
1994 539,584 1000 Int$ +17.5%
1995 630,953 1000 Int$ +16.9%
1996 751,840 1000 Int$ +19.2%
1997 690,176 1000 Int$ -8.2%
1998 755,603 1000 Int$ +9.5%
1999 789,549 1000 Int$ +4.5%
2000 997,091 1000 Int$ +26.3%
2001 1.17 million 1000 Int$ +17.1%
2002 1.21 million 1000 Int$ +3.3%
2003 1.24 million 1000 Int$ +3.0%
2004 1.31 million 1000 Int$ +5.5%
2005 1.41 million 1000 Int$ +7.7%
2006 1.52 million 1000 Int$ +7.3%
2007 1.67 million 1000 Int$ +10.2%
2008 1.66 million 1000 Int$ -0.5%
2009 1.80 million 1000 Int$ +8.2%
2010 1.93 million 1000 Int$ +7.0%
2011 2.06 million 1000 Int$ +6.8%
2012 2.05 million 1000 Int$ -0.2%
2013 2.14 million 1000 Int$ +4.2%
2014 2.17 million 1000 Int$ +1.2%
2015 2.19 million 1000 Int$ +1.0%
2016 1.82 million 1000 Int$ -16.8%
2017 1.46 million 1000 Int$ -20.1%
2018 1.44 million 1000 Int$ -1.1%
2019 1.46 million 1000 Int$ +1.4%
2020 1.47 million 1000 Int$ +0.7%
2021 1.34 million 1000 Int$ -8.8%
2022 1.42 million 1000 Int$ +6.2%
2023 1.43 million 1000 Int$ +0.4%
2024 1.41 million 1000 Int$ -1.4%

Averages by decade

DecadeAverage LowestHighest Years
1960s 61,071 1000 Int$ 36,425 1000 Int$ 90,658 1000 Int$ 9
1970s 114,562 1000 Int$ 84,969 1000 Int$ 148,066 1000 Int$ 10
1980s 182,692 1000 Int$ 140,832 1000 Int$ 275,124 1000 Int$ 10
1990s 553,951 1000 Int$ 229,444 1000 Int$ 789,549 1000 Int$ 10
2000s 1.40 million 1000 Int$ 997,091 1000 Int$ 1.80 million 1000 Int$ 10
2010s 1.87 million 1000 Int$ 1.44 million 1000 Int$ 2.19 million 1000 Int$ 10
2020s 1.42 million 1000 Int$ 1.34 million 1000 Int$ 1.47 million 1000 Int$ 5

Countries ranked near Asia

  1. 1 China 1.04 million 1000 Int$ compare
  2. 1 China, mainland 1.04 million 1000 Int$ compare
  3. 2 Democratic People's Republic of Korea 364,420 1000 Int$ compare
  4. 3 USSR 256,790 1000 Int$ compare
  5. 4 Spain 132,624 1000 Int$ compare

See the full ranking of 91 places →

More agriculture & rural data for Asia

All data for Asia →

Frequently asked questions

What is meat of rabbits and hares, fresh or chilled (indigenous) — gross in Asia?
Meat of rabbits and hares, fresh or chilled (indigenous) — gross in Asia was 1.41 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest meat of rabbits and hares, fresh or chilled (indigenous) — gross recorded in Asia?
The highest recorded value was 2.19 million 1000 Int$ in 2015.
What is the lowest meat of rabbits and hares, fresh or chilled (indigenous) — gross recorded in Asia?
The lowest recorded value was 36,425 1000 Int$ in 1961.
How does Asia rank for meat of rabbits and hares, fresh or chilled (indigenous) — gross?
Asia ranks 1st out of 10 groups with data for 2024.
Is meat of rabbits and hares, fresh or chilled (indigenous) — gross rising or falling in Asia?
Over the last ten years it is down 34.9%. The long-run trend across the full record is volatile.
Where does this Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat of rabbits and hares, fresh or chilled (indigenous) — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.

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Meat of rabbits and hares, fresh or chilled (indigenous) — Gross in Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://agriculture.statizoid.com/stat/meat-of-rabbits-and-hares-fresh-or-chilled-indigenous-gross-production-value-constant/asia/

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About this data

Indicator
Meat of rabbits and hares, fresh or chilled (indigenous) — Gross Production Value (constant 2014-2016 thousand I$)
Unit
1000 Int$
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
91 places, 4,445 data points, 1961–2024
Last refreshed

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.