Beef and Buffalo Meat: Yield/Carcass … annual Yield/Carcass Weight in Singapore
Singapore: Beef and Buffalo Meat: Yield/Carcass … annual Yield/Carcass Weight was -0.7444 % change on previous year in 2024. ◆ Volatile
Beef and Buffalo Meat, primary — Yield/Carcass Weight, annual growth in Singapore, 1962–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Singapore recorded -0.7444 % change on previous year for beef and buffalo meat, primary — yield/carcass weight, annual growth in 2024.
Compared with earlier readings it is up 70.6% over five years.
Over the whole period, beef and buffalo meat, primary — yield/carcass weight, annual growth in Singapore peaked at 39.19 % change on previous year in 1979 and was at its lowest, -11.61 % change on previous year, in 2017.
Singapore ranks 160th of 208 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Beef and Buffalo Meat: Yield/Carcass … annual Yield/Carcass Weight in Singapore, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1962 | -0.5714 % change on previous year | — |
| 1963 | 0.5747 % change on previous year | -200.6% |
| 1964 | 1.71 % change on previous year | +198.3% |
| 1965 | 1.12 % change on previous year | -34.5% |
| 1966 | -1.67 % change on previous year | -248.3% |
| 1967 | -10.17 % change on previous year | +510.2% |
| 1968 | 6.92 % change on previous year | -168.0% |
| 1969 | 1.18 % change on previous year | -83.0% |
| 1970 | 1.16 % change on previous year | -1.2% |
| 1971 | 5.17 % change on previous year | +344.8% |
| 1972 | -3.83 % change on previous year | -174.0% |
| 1973 | -0.5682 % change on previous year | -85.1% |
| 1974 | -3.43 % change on previous year | +503.4% |
| 1975 | -11.24 % change on previous year | +227.9% |
| 1976 | -1.33 % change on previous year | -88.1% |
| 1977 | -1.35 % change on previous year | +1.4% |
| 1978 | 1.37 % change on previous year | -201.4% |
| 1979 | 39.19 % change on previous year | +2760.8% |
| 1980 | 1.46 % change on previous year | -96.3% |
| 1981 | -2.39 % change on previous year | -264.3% |
| 1982 | 5.88 % change on previous year | -345.9% |
| 1983 | -0.463 % change on previous year | -107.9% |
| 1984 | -6.05 % change on previous year | +1206.0% |
| 1985 | 0.495 % change on previous year | -108.2% |
| 1986 | 7.39 % change on previous year | +1392.6% |
| 1987 | 0.4587 % change on previous year | -93.8% |
| 1988 | 2.28 % change on previous year | +397.7% |
| 1989 | -2.23 % change on previous year | -197.8% |
| 1990 | 0.4566 % change on previous year | -120.5% |
| 1991 | 1.36 % change on previous year | +198.6% |
| 1992 | -3.59 % change on previous year | -363.1% |
| 1993 | 4.65 % change on previous year | -229.7% |
| 1994 | 0 % change on previous year | -100.0% |
| 1995 | -0.8889 % change on previous year | — |
| 1996 | -3.59 % change on previous year | +303.6% |
| 1997 | -5.58 % change on previous year | +55.6% |
| 1998 | 7.39 % change on previous year | -232.4% |
| 1999 | 33.95 % change on previous year | +359.4% |
| 2000 | 3.08 % change on previous year | -90.9% |
| 2001 | 7.97 % change on previous year | +158.7% |
| 2002 | 7.69 % change on previous year | -3.5% |
| 2003 | -4.86 % change on previous year | -163.1% |
| 2004 | 10.21 % change on previous year | -310.2% |
| 2005 | -6.81 % change on previous year | -166.7% |
| 2006 | 2.34 % change on previous year | -134.3% |
| 2007 | 0 % change on previous year | -100.0% |
| 2008 | 0 % change on previous year | — |
| 2009 | 0 % change on previous year | — |
| 2010 | 7.14 % change on previous year | — |
| 2011 | 0 % change on previous year | -100.0% |
| 2012 | 0.2667 % change on previous year | — |
| 2013 | 19.68 % change on previous year | +7280.3% |
| 2014 | 0 % change on previous year | -100.0% |
| 2015 | -1.56 % change on previous year | — |
| 2016 | 1.13 % change on previous year | -172.6% |
| 2017 | -11.61 % change on previous year | -1128.4% |
| 2018 | -0.2525 % change on previous year | -97.8% |
| 2019 | -2.53 % change on previous year | +902.5% |
| 2020 | 1.56 % change on previous year | -161.6% |
| 2021 | 5.37 % change on previous year | +244.6% |
| 2022 | -2.18 % change on previous year | -140.7% |
| 2023 | 0 % change on previous year | -100.0% |
| 2024 | -0.7444 % change on previous year | — |
Biggest year-on-year movements
Years where Beef and Buffalo Meat: Yield/Carcass … annual Yield/Carcass Weight in Singapore 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 |
|---|---|---|---|
| 2013 | +7280.3% | 0.2667 % change on previous year | 19.68 % change on previous year |
| 1979 | +2760.8% | 1.37 % change on previous year | 39.19 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.1125 % change on previous year | -10.17 % change on previous year | 6.92 % change on previous year | 8 |
| 1970s | 2.51 % change on previous year | -11.24 % change on previous year | 39.19 % change on previous year | 10 |
| 1980s | 0.6831 % change on previous year | -6.05 % change on previous year | 7.39 % change on previous year | 10 |
| 1990s | 3.42 % change on previous year | -5.58 % change on previous year | 33.95 % change on previous year | 10 |
| 2000s | 1.96 % change on previous year | -6.81 % change on previous year | 10.21 % change on previous year | 10 |
| 2010s | 1.23 % change on previous year | -11.61 % change on previous year | 19.68 % change on previous year | 10 |
| 2020s | 0.8001 % change on previous year | -2.18 % change on previous year | 5.37 % change on previous year | 5 |
Countries ranked near Singapore
- 157 Nepal -0.6849 % change on previous year compare
- 158 Norway -0.7042 % change on previous year compare
- 159 South Sudan -0.7246 % change on previous year compare
- 161 Jamaica -0.7663 % change on previous year compare
- 162 Armenia -0.8197 % change on previous year compare
- 162 Sudan (former) -0.8197 % change on previous year compare
More agriculture & rural data for Singapore
- Cropland extent over the long-term, annual growth rate -100 % change on previous year (2020)
- Cropland extent over the long-term, per unit of GDP 0 hectares per US$ of GDP (2025)
- Cropland extent over the long-term, per capita 0 hectares per person (2025)
- Agricultural area over the long-term, annual growth rate -100 % change on previous year (2020)
- Agricultural area over the long-term, per unit of GDP 0 hectares per US$ of GDP (2025)
- Agricultural area over the long-term, per capita 0 hectares per person (2025)
- 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)
Frequently asked questions
- What is beef and buffalo meat, primary — yield/carcass weight, annual growth in Singapore?
- Beef and buffalo meat, primary — yield/carcass weight, annual growth in Singapore was -0.7444 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest beef and buffalo meat, primary — yield/carcass weight, annual growth recorded in Singapore?
- The highest recorded value was 39.19 % change on previous year in 1979.
- What is the lowest beef and buffalo meat, primary — yield/carcass weight, annual growth recorded in Singapore?
- The lowest recorded value was -11.61 % change on previous year in 2017.
- How does Singapore rank for beef and buffalo meat, primary — yield/carcass weight, annual growth?
- Singapore ranks 160th out of 208 countries with data for 2024.
- Where does this Singapore data come from?
- The figures come from Statizoid (derived), published as part of Beef and Buffalo Meat, primary — Yield/Carcass Weight, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Beef and Buffalo Meat, primary — Yield/Carcass Weight. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Beef and Buffalo Meat, primary — Yield/Carcass Weight Food and Agriculture Organization of the United Nations
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Beef and Buffalo Meat, primary — Yield/Carcass Weight. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.