Meat of cattle with the bone, fresh or chilled (indigenous) — Gross in Singapore
Singapore: Meat of cattle with the bone, fresh or chilled (indigenous) — Gross was 146 1000 Int$ in 2024. ◆ Volatile
Meat of cattle with the bone, fresh or chilled (indigenous) — Gross in Singapore, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Singapore recorded 146 1000 Int$ for meat of cattle with the bone, fresh or chilled (indigenous) — gross in 2024.
That represents a change of down 0.7% on the previous year and down 9.9% over ten years.
Over the whole period, meat of cattle with the bone, fresh or chilled (indigenous) — gross in Singapore peaked at 4,434 1000 Int$ in 1968 and was at its lowest, 1 1000 Int$, in 1988.
That places Singapore 178th out of 190 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Meat of cattle with the bone, fresh or chilled (indigenous) — Gross in Singapore, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 63 1000 Int$ | — |
| 1962 | 606 1000 Int$ | +861.9% |
| 1963 | 709 1000 Int$ | +17.0% |
| 1964 | 1,124 1000 Int$ | +58.5% |
| 1965 | 1,278 1000 Int$ | +13.7% |
| 1966 | 1,640 1000 Int$ | +28.3% |
| 1967 | 1,079 1000 Int$ | -34.2% |
| 1968 | 4,434 1000 Int$ | +310.9% |
| 1969 | 4,426 1000 Int$ | -0.2% |
| 1970 | 3,666 1000 Int$ | -17.2% |
| 1971 | 579 1000 Int$ | -84.2% |
| 1972 | 717 1000 Int$ | +23.8% |
| 1973 | 580 1000 Int$ | -19.1% |
| 1974 | 408 1000 Int$ | -29.7% |
| 1975 | 705 1000 Int$ | +72.8% |
| 1976 | 499 1000 Int$ | -29.2% |
| 1977 | 150 1000 Int$ | -69.9% |
| 1978 | 109 1000 Int$ | -27.3% |
| 1979 | 195 1000 Int$ | +78.9% |
| 1980 | 156 1000 Int$ | -20.0% |
| 1981 | 231 1000 Int$ | +48.1% |
| 1982 | 104 1000 Int$ | -55.0% |
| 1983 | 140 1000 Int$ | +34.6% |
| 1984 | 304 1000 Int$ | +117.1% |
| 1985 | 298 1000 Int$ | -2.0% |
| 1986 | 134 1000 Int$ | -55.0% |
| 1987 | 43 1000 Int$ | -67.9% |
| 1988 | 1 1000 Int$ | -97.7% |
| 1989 | 210 1000 Int$ | +20900.0% |
| 1990 | 24 1000 Int$ | -88.6% |
| 1991 | 102 1000 Int$ | +325.0% |
| 1992 | 173 1000 Int$ | +69.6% |
| 1993 | 1 1000 Int$ | -99.4% |
| 1994 | 156 1000 Int$ | +15500.0% |
| 1995 | 35 1000 Int$ | -77.6% |
| 1996 | 185 1000 Int$ | +428.6% |
| 1997 | 89 1000 Int$ | -51.9% |
| 1998 | 17 1000 Int$ | -80.9% |
| 1999 | 151 1000 Int$ | +788.2% |
| 2000 | 60 1000 Int$ | -60.3% |
| 2001 | 168 1000 Int$ | +180.0% |
| 2002 | 181 1000 Int$ | +7.7% |
| 2003 | 171 1000 Int$ | -5.5% |
| 2004 | 183 1000 Int$ | +7.0% |
| 2005 | 175 1000 Int$ | -4.4% |
| 2006 | 2 1000 Int$ | -98.9% |
| 2007 | 176 1000 Int$ | +8700.0% |
| 2008 | 181 1000 Int$ | +2.8% |
| 2009 | 181 1000 Int$ | +0.0% |
| 2010 | 194 1000 Int$ | +7.2% |
| 2011 | 194 1000 Int$ | +0.0% |
| 2012 | 84 1000 Int$ | -56.7% |
| 2013 | 215 1000 Int$ | +156.0% |
| 2014 | 162 1000 Int$ | -24.7% |
| 2015 | 155 1000 Int$ | -4.3% |
| 2016 | 187 1000 Int$ | +20.6% |
| 2017 | 154 1000 Int$ | -17.6% |
| 2018 | 146 1000 Int$ | -5.2% |
| 2019 | 145 1000 Int$ | -0.7% |
| 2020 | 142 1000 Int$ | -2.1% |
| 2021 | 142 1000 Int$ | +0.0% |
| 2022 | 148 1000 Int$ | +4.2% |
| 2023 | 147 1000 Int$ | -0.7% |
| 2024 | 146 1000 Int$ | -0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1,707 1000 Int$ | 63 1000 Int$ | 4,434 1000 Int$ | 9 |
| 1970s | 760.8 1000 Int$ | 109 1000 Int$ | 3,666 1000 Int$ | 10 |
| 1980s | 162.1 1000 Int$ | 1 1000 Int$ | 304 1000 Int$ | 10 |
| 1990s | 93.3 1000 Int$ | 1 1000 Int$ | 185 1000 Int$ | 10 |
| 2000s | 147.8 1000 Int$ | 2 1000 Int$ | 183 1000 Int$ | 10 |
| 2010s | 163.6 1000 Int$ | 84 1000 Int$ | 215 1000 Int$ | 10 |
| 2020s | 145 1000 Int$ | 142 1000 Int$ | 148 1000 Int$ | 5 |
Countries ranked near Singapore
- 175 Qatar 311 1000 Int$ compare
- 176 Equatorial Guinea 208 1000 Int$ compare
- 177 Saint Kitts and Nevis 184 1000 Int$ compare
- 179 Bahamas 76 1000 Int$ compare
- 180 Seychelles 73 1000 Int$ compare
- 181 Cook Islands 31 1000 Int$ compare
More agriculture & rural data for Singapore
- Agriculture, forestry, and fishing, value added (current US$), annual -1.4 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0002 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 24.33 current US$ per person (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0 units per person (2025)
- Share of GDP from agriculture 0.0% (2025)
- Agriculture as a share of GDP vs. GDP per capita 0.0% (2025)
- Agricultural raw materials exports 0.4% (2024)
- Agricultural raw materials imports 0.2% (2024)
- Rural population 0.0% (2025)
Frequently asked questions
- What is meat of cattle with the bone, fresh or chilled (indigenous) — gross in Singapore?
- Meat of cattle with the bone, fresh or chilled (indigenous) — gross in Singapore was 146 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 Singapore?
- The highest recorded value was 4,434 1000 Int$ in 1968.
- What is the lowest meat of cattle with the bone, fresh or chilled (indigenous) — gross recorded in Singapore?
- The lowest recorded value was 1 1000 Int$ in 1988.
- How does Singapore rank for meat of cattle with the bone, fresh or chilled (indigenous) — gross?
- Singapore ranks 178th out of 190 countries with data for 2024.
- Is meat of cattle with the bone, fresh or chilled (indigenous) — gross rising or falling in Singapore?
- Over the last ten years it is down 9.9%. The long-run trend across the full record is volatile.
- Where does this Singapore 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.
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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.