Value Added Deflator (Agriculture, forestry and fishery) — Value in Singapore
Singapore: Value Added Deflator (Agriculture, forestry and fishery) — Value was 123.53 SLC in 2024. ▲ Rising
Value Added Deflator (Agriculture, forestry and fishery) — Value in Singapore, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in SLC.
Analysis
Singapore recorded 123.53 SLC for value added deflator (agriculture, forestry and fishery) — value in 2024.
The figure is down 0.5% on the previous year and up 24.2% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value in Singapore peaked at 124.17 SLC in 2023 and was at its lowest, 50.37 SLC, in 1970.
Singapore ranks 137th of 191 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added Deflator (Agriculture, forestry and fishery) — Value in Singapore, year by year
| Year | SLC | Change |
|---|---|---|
| 1970 | 50.37 SLC | — |
| 1971 | 54.08 SLC | +7.4% |
| 1972 | 51.23 SLC | -5.3% |
| 1973 | 70.06 SLC | +36.8% |
| 1974 | 79.19 SLC | +13.0% |
| 1975 | 83.66 SLC | +5.6% |
| 1976 | 78.88 SLC | -5.7% |
| 1977 | 82.92 SLC | +5.1% |
| 1978 | 80.67 SLC | -2.7% |
| 1979 | 84.87 SLC | +5.2% |
| 1980 | 99.9 SLC | +17.7% |
| 1981 | 110.42 SLC | +10.5% |
| 1982 | 112.44 SLC | +1.8% |
| 1983 | 103.99 SLC | -7.5% |
| 1984 | 100.45 SLC | -3.4% |
| 1985 | 94.17 SLC | -6.3% |
| 1986 | 84.04 SLC | -10.8% |
| 1987 | 78.52 SLC | -6.6% |
| 1988 | 82.09 SLC | +4.5% |
| 1989 | 84.34 SLC | +2.7% |
| 1990 | 96 SLC | +13.8% |
| 1991 | 90.22 SLC | -6.0% |
| 1992 | 80.65 SLC | -10.6% |
| 1993 | 85.07 SLC | +5.5% |
| 1994 | 94.93 SLC | +11.6% |
| 1995 | 92.37 SLC | -2.7% |
| 1996 | 101.19 SLC | +9.6% |
| 1997 | 100.61 SLC | -0.6% |
| 1998 | 90.18 SLC | -10.4% |
| 1999 | 92.76 SLC | +2.9% |
| 2000 | 92.54 SLC | -0.2% |
| 2001 | 92.21 SLC | -0.4% |
| 2002 | 98.91 SLC | +7.3% |
| 2003 | 95.33 SLC | -3.6% |
| 2004 | 99.18 SLC | +4.0% |
| 2005 | 100.43 SLC | +1.3% |
| 2006 | 97.3 SLC | -3.1% |
| 2007 | 98.57 SLC | +1.3% |
| 2008 | 101.61 SLC | +3.1% |
| 2009 | 99.05 SLC | -2.5% |
| 2010 | 99.16 SLC | +0.1% |
| 2011 | 97.91 SLC | -1.3% |
| 2012 | 94.68 SLC | -3.3% |
| 2013 | 98.58 SLC | +4.1% |
| 2014 | 99.42 SLC | +0.9% |
| 2015 | 100 SLC | +0.6% |
| 2016 | 101.24 SLC | +1.2% |
| 2017 | 103.18 SLC | +1.9% |
| 2018 | 105 SLC | +1.8% |
| 2019 | 106.09 SLC | +1.0% |
| 2020 | 105.82 SLC | -0.3% |
| 2021 | 107.76 SLC | +1.8% |
| 2022 | 118.69 SLC | +10.1% |
| 2023 | 124.17 SLC | +4.6% |
| 2024 | 123.53 SLC | -0.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 71.59 SLC | 50.37 SLC | 84.87 SLC | 10 |
| 1980s | 95.04 SLC | 78.52 SLC | 112.44 SLC | 10 |
| 1990s | 92.4 SLC | 80.65 SLC | 101.19 SLC | 10 |
| 2000s | 97.51 SLC | 92.21 SLC | 101.61 SLC | 10 |
| 2010s | 100.53 SLC | 94.68 SLC | 106.09 SLC | 10 |
| 2020s | 115.99 SLC | 105.82 SLC | 124.17 SLC | 5 |
Countries ranked near Singapore
- 134 Puerto Rico 127.74 SLC compare
- 135 Bermuda 126.09 SLC compare
- 136 Saudi Arabia 124.95 SLC compare
- 138 Andorra 123.36 SLC compare
- 139 Switzerland 122.8 SLC compare
- 140 Maldives 122.49 SLC compare
More environment data for Singapore
- Historical exposure to drought — Land soil moisture anomaly -1.71 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.9965 Percentage change (2025)
- Standard Deviation, annual growth rate 42.94 % change on previous year (1990)
- Standard Deviation 0.253 °C (1990)
- Temperature change 0.647 °C (1990)
- Sawnwood — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0002 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -15.19 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value in Singapore?
- Value added deflator (agriculture, forestry and fishery) — value in Singapore was 123.53 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added deflator (agriculture, forestry and fishery) — value recorded in Singapore?
- The highest recorded value was 124.17 SLC in 2023.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value recorded in Singapore?
- The lowest recorded value was 50.37 SLC in 1970.
- How does Singapore rank for value added deflator (agriculture, forestry and fishery) — value?
- Singapore ranks 137th out of 191 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value rising or falling in Singapore?
- Over the last ten years it is up 24.2%. The long-run trend across the full record is rising.
- Where does this Singapore data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added Deflator (Agriculture, forestry and fishery) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Deflators database provides the following selection of price deflator series by country and at regional level: Gross Domestic Product deflator, Gross Fixed Capital Formation deflator, Manufacturing Value-Added deflator, and Agriculture, Forestry, Fishery Valued-Added deflator. In the FAOSTAT Deflators database, all series are derived from the United Nations Statistics Division (UNSD) National Accounts Analysis of Main Aggregates database (UNSD AMA). In particular, the implicit Gross Domestic Product deflator, the implicit Gross Fixed Capital Formation deflator, the implicit value added deflator of Agriculture, Forestry, Fishery and the implicit value added deflator of Manufacturing are obtained by dividing the series in current prices by those in constant 2015 prices (base year).