Hypothetical land animals slaughtered in Thailand
Thailand: Hypothetical land animals slaughtered was 157.31 billion in 2024. ◆ Volatile
Hypothetical land animals slaughtered in Thailand, 1961–2024
Source: Our World in Data.
Analysis
In 2024, hypothetical land animals slaughtered in Thailand stood at 157.31 billion. That is the highest value across all 64 years on record.
That represents a change of up 3.3% on the previous year and up 11.1% over ten years.
Over the whole period, hypothetical land animals slaughtered in Thailand peaked at 157.31 billion in 2024 and was at its lowest, 9.93 billion, in 1961.
That places Thailand 32nd out of 199 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Hypothetical land animals slaughtered in Thailand, year by year
| Year | Value | Change |
|---|---|---|
| 1961 | 9.93 billion | — |
| 1962 | 10.18 billion | +2.5% |
| 1963 | 11.12 billion | +9.2% |
| 1964 | 12.08 billion | +8.7% |
| 1965 | 12.96 billion | +7.3% |
| 1966 | 13.95 billion | +7.6% |
| 1967 | 14.93 billion | +7.0% |
| 1968 | 16.12 billion | +7.9% |
| 1969 | 17.24 billion | +7.0% |
| 1970 | 18.75 billion | +8.7% |
| 1971 | 17.76 billion | -5.3% |
| 1972 | 17.96 billion | +1.1% |
| 1973 | 22.75 billion | +26.6% |
| 1974 | 20.27 billion | -10.9% |
| 1975 | 22.25 billion | +9.7% |
| 1976 | 21.36 billion | -4.0% |
| 1977 | 23.80 billion | +11.4% |
| 1978 | 27.58 billion | +15.9% |
| 1979 | 27.85 billion | +1.0% |
| 1980 | 26.16 billion | -6.1% |
| 1981 | 29.26 billion | +11.9% |
| 1982 | 30.43 billion | +4.0% |
| 1983 | 33.20 billion | +9.1% |
| 1984 | 32.02 billion | -3.5% |
| 1985 | 35.00 billion | +9.3% |
| 1986 | 37.73 billion | +7.8% |
| 1987 | 40.48 billion | +7.3% |
| 1988 | 43.09 billion | +6.5% |
| 1989 | 46.22 billion | +7.3% |
| 1990 | 49.72 billion | +7.6% |
| 1991 | 65.28 billion | +31.3% |
| 1992 | 77.94 billion | +19.4% |
| 1993 | 79.05 billion | +1.4% |
| 1994 | 74.62 billion | -5.6% |
| 1995 | 75.61 billion | +1.3% |
| 1996 | 78.39 billion | +3.7% |
| 1997 | 79.31 billion | +1.2% |
| 1998 | 88.43 billion | +11.5% |
| 1999 | 91.10 billion | +3.0% |
| 2000 | 98.20 billion | +7.8% |
| 2001 | 106.57 billion | +8.5% |
| 2002 | 110.08 billion | +3.3% |
| 2003 | 116.57 billion | +5.9% |
| 2004 | 75.90 billion | -34.9% |
| 2005 | 88.51 billion | +16.6% |
| 2006 | 92.28 billion | +4.3% |
| 2007 | 95.83 billion | +3.8% |
| 2008 | 99.69 billion | +4.0% |
| 2009 | 99.90 billion | +0.2% |
| 2010 | 106.04 billion | +6.1% |
| 2011 | 109.05 billion | +2.8% |
| 2012 | 123.33 billion | +13.1% |
| 2013 | 129.57 billion | +5.1% |
| 2014 | 141.66 billion | +9.3% |
| 2015 | 133.12 billion | -6.0% |
| 2016 | 133.98 billion | +0.7% |
| 2017 | 137.85 billion | +2.9% |
| 2018 | 135.69 billion | -1.6% |
| 2019 | 139.60 billion | +2.9% |
| 2020 | 143.66 billion | +2.9% |
| 2021 | 143.95 billion | +0.2% |
| 2022 | 147.50 billion | +2.5% |
| 2023 | 152.35 billion | +3.3% |
| 2024 | 157.31 billion | +3.3% |
Thailand compared with similar countries
- Thailand's 157.31 billion is above the median for upper middle income countries, which is 97.83 billion, 1.6× the median. (56 countries reporting)
- Thailand's 157.31 billion is above the median for East Asia & Pacific, which is 57.59 billion, 2.7× the median. (32 countries reporting)
Biggest year-on-year movements
Years where Hypothetical land animals slaughtered in Thailand changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2004 | -34.9% | 116.57 billion | 75.90 billion |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 13.17 billion | 9.93 billion | 17.24 billion | 9 |
| 1970s | 22.03 billion | 17.76 billion | 27.85 billion | 10 |
| 1980s | 35.36 billion | 26.16 billion | 46.22 billion | 10 |
| 1990s | 75.94 billion | 49.72 billion | 91.10 billion | 10 |
| 2000s | 98.35 billion | 75.90 billion | 116.57 billion | 10 |
| 2010s | 128.99 billion | 106.04 billion | 141.66 billion | 10 |
| 2020s | 148.96 billion | 143.66 billion | 157.31 billion | 5 |
Countries ranked near Thailand
More reference data data for Thailand
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.67 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.89 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 13.08 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.45 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 13.08 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 5.58 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 7.72 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 10.67 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 65.23 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 7.92 (2050)
Frequently asked questions
- What is hypothetical land animals slaughtered in Thailand?
- Hypothetical land animals slaughtered in Thailand was 157.31 billion in 2024, according to Our World in Data.
- What is the highest hypothetical land animals slaughtered recorded in Thailand?
- The highest recorded value was 157.31 billion in 2024.
- What is the lowest hypothetical land animals slaughtered recorded in Thailand?
- The lowest recorded value was 9.93 billion in 1961.
- How does Thailand rank for hypothetical land animals slaughtered?
- Thailand ranks 32nd out of 199 countries with data for 2024.
- Is hypothetical land animals slaughtered rising or falling in Thailand?
- Over the last ten years it is up 11.1%. The long-run trend across the full record is volatile.
- Where does this Thailand data come from?
- The figures come from Our World in Data, published as part of Hypothetical land animals slaughtered. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY 4.0 (Our World in Data).