Goats — Stocks in Singapore
Singapore: Goats — Stocks was 754 An in 2024. ◆ Volatile
Goats — Stocks in Singapore, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in An.
Analysis
Singapore recorded 754 An for goats — stocks in 2024.
Compared with earlier readings it is up 1.6% on the previous year and up 12.5% over ten years.
Over the whole period, goats — stocks in Singapore peaked at 2,200 An in 1975 and was at its lowest, 200 An, in 1990.
That places Singapore 239th out of 242 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.
Goats — Stocks in Singapore, year by year
| Year | An | Change |
|---|---|---|
| 1961 | 1,534 An | — |
| 1962 | 1,534 An | +0.0% |
| 1963 | 1,534 An | +0.0% |
| 1964 | 1,534 An | +0.0% |
| 1965 | 1,534 An | +0.0% |
| 1966 | 1,534 An | +0.0% |
| 1967 | 1,534 An | +0.0% |
| 1968 | 1,534 An | +0.0% |
| 1969 | 2,000 An | +30.4% |
| 1970 | 2,000 An | +0.0% |
| 1971 | 2,000 An | +0.0% |
| 1972 | 2,000 An | +0.0% |
| 1973 | 2,000 An | +0.0% |
| 1974 | 2,100 An | +5.0% |
| 1975 | 2,200 An | +4.8% |
| 1976 | 1,200 An | -45.5% |
| 1977 | 800 An | -33.3% |
| 1978 | 600 An | -25.0% |
| 1979 | 1,100 An | +83.3% |
| 1980 | 750 An | -31.8% |
| 1981 | 650 An | -13.3% |
| 1982 | 700 An | +7.7% |
| 1983 | 530 An | -24.3% |
| 1984 | 450 An | -15.1% |
| 1985 | 400 An | -11.1% |
| 1986 | 500 An | +25.0% |
| 1987 | 500 An | +0.0% |
| 1988 | 500 An | +0.0% |
| 1989 | 270 An | -46.0% |
| 1990 | 200 An | -25.9% |
| 1991 | 300 An | +50.0% |
| 1992 | 400 An | +33.3% |
| 1993 | 350 An | -12.5% |
| 1994 | 550 An | +57.1% |
| 1995 | 550 An | +0.0% |
| 1996 | 550 An | +0.0% |
| 1997 | 550 An | +0.0% |
| 1998 | 550 An | +0.0% |
| 1999 | 500 An | -9.1% |
| 2000 | 500 An | +0.0% |
| 2001 | 700 An | +40.0% |
| 2002 | 500 An | -28.6% |
| 2003 | 600 An | +20.0% |
| 2004 | 600 An | +0.0% |
| 2005 | 750 An | +25.0% |
| 2006 | 700 An | -6.7% |
| 2007 | 600 An | -14.3% |
| 2008 | 620 An | +3.3% |
| 2009 | 650 An | +4.8% |
| 2010 | 670 An | +3.1% |
| 2011 | 670 An | +0.0% |
| 2012 | 670 An | +0.0% |
| 2013 | 670 An | +0.0% |
| 2014 | 670 An | +0.0% |
| 2015 | 696 An | +3.9% |
| 2016 | 686 An | -1.4% |
| 2017 | 687 An | +0.1% |
| 2018 | 720 An | +4.8% |
| 2019 | 706 An | -1.9% |
| 2020 | 730 An | +3.4% |
| 2021 | 720 An | -1.4% |
| 2022 | 733 An | +1.8% |
| 2023 | 742 An | +1.2% |
| 2024 | 754 An | +1.6% |
Singapore compared with similar countries
- Singapore's 754 An is below the median for high income countries, which is 31,300 An, 2% of the median. (55 countries reporting)
- Singapore's 754 An is below the median for East Asia & Pacific, which is 186,510 An, 0% of the median. (20 countries reporting)
Biggest year-on-year movements
Years where Goats — Stocks 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 |
|---|---|---|---|
| 1979 | +83.3% | 600 An | 1,100 An |
| 1994 | +57.1% | 350 An | 550 An |
| 1991 | +50.0% | 200 An | 300 An |
| 1989 | -46.0% | 500 An | 270 An |
| 1976 | -45.5% | 2,200 An | 1,200 An |
| 2001 | +40.0% | 500 An | 700 An |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1,586 An | 1,534 An | 2,000 An | 9 |
| 1970s | 1,600 An | 600 An | 2,200 An | 10 |
| 1980s | 525 An | 270 An | 750 An | 10 |
| 1990s | 450 An | 200 An | 550 An | 10 |
| 2000s | 622 An | 500 An | 750 An | 10 |
| 2010s | 684.5 An | 670 An | 720 An | 10 |
| 2020s | 735.8 An | 720 An | 754 An | 5 |
Countries ranked near Singapore
- 236 Iceland 1,888 An compare
- 237 New Caledonia 1,550 An compare
- 238 French Guiana 1,264 An compare
- 240 China, Hong Kong SAR 680 An compare
- 241 Belize 193 An compare
- 242 Tuvalu 0 An 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 goats — stocks in Singapore?
- Goats — stocks in Singapore was 754 An in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest goats — stocks recorded in Singapore?
- The highest recorded value was 2,200 An in 1975.
- What is the lowest goats — stocks recorded in Singapore?
- The lowest recorded value was 200 An in 1990.
- How does Singapore rank for goats — stocks?
- Singapore ranks 239th out of 242 countries with data for 2024.
- Is goats — stocks rising or falling in Singapore?
- Over the last ten years it is up 12.5%. 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 Goats — Stocks. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
This dataset provides annual statistics on crop and livestock production across countries and territories. For crops, data are provided on area harvested, production quantities and yields. For livestock, data are provided on animal stocks, numbers of producing and slaughtered animals, and the production of meat, milk, eggs and other livestock products. The dataset also includes information on production quantities for selected processed products, such as vegetable oils, sugar, fibres, beer, wine and major dairy products.