Land animals slaughtered if all countries produced meat like.. in Eswatini
Eswatini: Land animals slaughtered if all countries produced meat like.. was 20.59 billion animals in 2024. ◆ Volatile
Latest (2024)
20.59 billion animals
Change on year
down 0.4%
World rank
147th
of 199 countries
All-time high
24.26 billion animals
in 2015
All-time low
3.75 billion animals
in 1961
Years of data
64
1961–2024
Land animals slaughtered if all countries produced meat like.. in Eswatini, 1961–2024
Source: Food and Agriculture Organization of the United Nations (2025); Population based on various sources (2024) – with major processing by Our World in Data. Measured in animals.
Analysis
The most recent figure for land animals slaughtered if all countries produced meat like.. in Eswatini is 20.59 billion animals, measured in 2024.
Compared with earlier readings it is down 0.4% on the previous year and up 10.3% over ten years.
Over the whole period, land animals slaughtered if all countries produced meat like.. in Eswatini peaked at 24.26 billion animals in 2015 and was at its lowest, 3.75 billion animals, in 1961.
Eswatini ranks 147th of 199 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Land animals slaughtered if all countries produced meat like.. in Eswatini, year by year
| Year | animals | Change |
|---|---|---|
| 1961 | 3.75 billion animals | — |
| 1962 | 3.91 billion animals | +4.0% |
| 1963 | 3.94 billion animals | +0.8% |
| 1964 | 4.12 billion animals | +4.7% |
| 1965 | 4.15 billion animals | +0.7% |
| 1966 | 4.30 billion animals | +3.6% |
| 1967 | 4.45 billion animals | +3.4% |
| 1968 | 4.43 billion animals | -0.3% |
| 1969 | 4.65 billion animals | +5.0% |
| 1970 | 4.79 billion animals | +2.9% |
| 1971 | 5.09 billion animals | +6.4% |
| 1972 | 4.98 billion animals | -2.3% |
| 1973 | 5.38 billion animals | +8.1% |
| 1974 | 5.74 billion animals | +6.6% |
| 1975 | 6.18 billion animals | +7.6% |
| 1976 | 6.55 billion animals | +6.0% |
| 1977 | 6.40 billion animals | -2.2% |
| 1978 | 6.60 billion animals | +3.1% |
| 1979 | 6.96 billion animals | +5.5% |
| 1980 | 6.60 billion animals | -5.2% |
| 1981 | 7.68 billion animals | +16.3% |
| 1982 | 7.64 billion animals | -0.5% |
| 1983 | 7.63 billion animals | -0.2% |
| 1984 | 7.29 billion animals | -4.4% |
| 1985 | 7.15 billion animals | -1.9% |
| 1986 | 7.16 billion animals | +0.1% |
| 1987 | 7.16 billion animals | +0.0% |
| 1988 | 7.72 billion animals | +7.9% |
| 1989 | 8.66 billion animals | +12.2% |
| 1990 | 8.25 billion animals | -4.8% |
| 1991 | 8.25 billion animals | +0.0% |
| 1992 | 8.36 billion animals | +1.3% |
| 1993 | 7.97 billion animals | -4.7% |
| 1994 | 7.74 billion animals | -2.8% |
| 1995 | 8.46 billion animals | +9.2% |
| 1996 | 8.39 billion animals | -0.8% |
| 1997 | 9.29 billion animals | +10.7% |
| 1998 | 9.68 billion animals | +4.2% |
| 1999 | 10.18 billion animals | +5.2% |
| 2000 | 10.93 billion animals | +7.3% |
| 2001 | 11.26 billion animals | +3.1% |
| 2002 | 11.81 billion animals | +4.9% |
| 2003 | 12.29 billion animals | +4.1% |
| 2004 | 13.11 billion animals | +6.7% |
| 2005 | 13.82 billion animals | +5.4% |
| 2006 | 14.45 billion animals | +4.6% |
| 2007 | 17.71 billion animals | +22.5% |
| 2008 | 18.00 billion animals | +1.7% |
| 2009 | 18.44 billion animals | +2.4% |
| 2010 | 18.70 billion animals | +1.4% |
| 2011 | 18.86 billion animals | +0.9% |
| 2012 | 18.94 billion animals | +0.4% |
| 2013 | 18.84 billion animals | -0.6% |
| 2014 | 18.67 billion animals | -0.9% |
| 2015 | 24.26 billion animals | +29.9% |
| 2016 | 13.13 billion animals | -45.9% |
| 2017 | 16.45 billion animals | +25.3% |
| 2018 | 18.74 billion animals | +13.9% |
| 2019 | 21.30 billion animals | +13.7% |
| 2020 | 18.20 billion animals | -14.5% |
| 2021 | 19.65 billion animals | +7.9% |
| 2022 | 20.32 billion animals | +3.4% |
| 2023 | 20.67 billion animals | +1.7% |
| 2024 | 20.59 billion animals | -0.4% |
Eswatini compared with similar countries
- Eswatini's 20.59 billion animals is below the median for lower middle income countries, which is 23.17 billion animals, 89% of the median. (46 countries reporting)
- Eswatini's 20.59 billion animals is above the median for Sub-Saharan Africa, which is 17.46 billion animals, 1.2× the median. (48 countries reporting)
Biggest year-on-year movements
Years where Land animals slaughtered if all countries produced meat like.. in Eswatini 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 |
|---|---|---|---|
| 2016 | -45.9% | 24.26 billion animals | 13.13 billion animals |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 4.19 billion animals | 3.75 billion animals | 4.65 billion animals | 9 |
| 1970s | 5.87 billion animals | 4.79 billion animals | 6.96 billion animals | 10 |
| 1980s | 7.47 billion animals | 6.60 billion animals | 8.66 billion animals | 10 |
| 1990s | 8.66 billion animals | 7.74 billion animals | 10.18 billion animals | 10 |
| 2000s | 14.18 billion animals | 10.93 billion animals | 18.44 billion animals | 10 |
| 2010s | 18.79 billion animals | 13.13 billion animals | 24.26 billion animals | 10 |
| 2020s | 19.89 billion animals | 18.20 billion animals | 20.67 billion animals | 5 |
Countries ranked near Eswatini
- 144 Tajikistan 21.79 billion animals compare
- 145 Madagascar 21.09 billion animals compare
- 146 Zambia 20.61 billion animals compare
- 148 India 20.52 billion animals compare
- 149 Bangladesh 19.56 billion animals compare
- 150 Samoa 19.52 billion animals compare
More reference data data for Eswatini
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0203 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.3059 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.3309 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0048 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.3309 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0679 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0557 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.66 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.82 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.026 (2050)
Frequently asked questions
- What is land animals slaughtered if all countries produced meat like.. in Eswatini?
- Land animals slaughtered if all countries produced meat like.. in Eswatini was 20.59 billion animals in 2024, according to Food and Agriculture Organization of the United Nations (2025); Population based on various sources (2024) – with major processing by Our World in Data.
- What is the highest land animals slaughtered if all countries produced meat like.. recorded in Eswatini?
- The highest recorded value was 24.26 billion animals in 2015.
- What is the lowest land animals slaughtered if all countries produced meat like.. recorded in Eswatini?
- The lowest recorded value was 3.75 billion animals in 1961.
- How does Eswatini rank for land animals slaughtered if all countries produced meat like..?
- Eswatini ranks 147th out of 199 countries with data for 2024.
- Is land animals slaughtered if all countries produced meat like.. rising or falling in Eswatini?
- Over the last ten years it is up 10.3%. The long-run trend across the full record is volatile.
- Where does this Eswatini data come from?
- The figures come from Food and Agriculture Organization of the United Nations (2025); Population based on various sources (2024) – with major processing by Our World in Data, published as part of Land animals slaughtered if all countries produced meat like... 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).
About this data
Population by country, available from 10,000 BCE to 2100, based on data and estimates from different sources.