Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in South-eastern Asia
South-eastern Asia: Value Added Deflator (Agriculture, forestry and fishery) — Value US$ was 1.79 % change on previous year in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in South-eastern Asia, 1971–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for value added deflator (agriculture, forestry and fishery) — value us$ in South-eastern Asia is 1.79 % change on previous year, measured in 2024.
The figure is up 145.9% on the previous year and up 140.2% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value us$ in South-eastern Asia peaked at 28.03 % change on previous year in 1973 and was at its lowest, -29.9 % change on previous year, in 1998.
South-eastern Asia ranks 12th of 24 groups 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.
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in South-eastern Asia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1971 | -3 % change on previous year | — |
| 1972 | 5.25 % change on previous year | -274.7% |
| 1973 | 28.03 % change on previous year | +434.3% |
| 1974 | 25.91 % change on previous year | -7.5% |
| 1975 | 5.91 % change on previous year | -77.2% |
| 1976 | 7.49 % change on previous year | +26.8% |
| 1977 | 11.95 % change on previous year | +59.6% |
| 1978 | 6 % change on previous year | -49.8% |
| 1979 | 4.88 % change on previous year | -18.7% |
| 1980 | 5.7 % change on previous year | +16.9% |
| 1981 | 3.98 % change on previous year | -30.1% |
| 1982 | -1.49 % change on previous year | -137.4% |
| 1983 | -6.9 % change on previous year | +362.8% |
| 1984 | 1.01 % change on previous year | -114.6% |
| 1985 | -6.47 % change on previous year | -742.5% |
| 1986 | -6.62 % change on previous year | +2.3% |
| 1987 | 1.28 % change on previous year | -119.3% |
| 1988 | 8.05 % change on previous year | +530.4% |
| 1989 | 5.01 % change on previous year | -37.8% |
| 1990 | -7.64 % change on previous year | -252.4% |
| 1991 | 4.43 % change on previous year | -158.0% |
| 1992 | 8.41 % change on previous year | +89.9% |
| 1993 | 2.84 % change on previous year | -66.2% |
| 1994 | 10.76 % change on previous year | +278.4% |
| 1995 | 12.13 % change on previous year | +12.7% |
| 1996 | 4.08 % change on previous year | -66.4% |
| 1997 | -9.46 % change on previous year | -332.1% |
| 1998 | -29.9 % change on previous year | +216.0% |
| 1999 | 13.59 % change on previous year | -145.5% |
| 2000 | -8.32 % change on previous year | -161.2% |
| 2001 | -7.56 % change on previous year | -9.2% |
| 2002 | 13.48 % change on previous year | -278.4% |
| 2003 | 6.27 % change on previous year | -53.4% |
| 2004 | 4.83 % change on previous year | -23.0% |
| 2005 | 2.91 % change on previous year | -39.7% |
| 2006 | 14.9 % change on previous year | +411.6% |
| 2007 | 20.02 % change on previous year | +34.4% |
| 2008 | 19.84 % change on previous year | -0.9% |
| 2009 | -0.1784 % change on previous year | -100.9% |
| 2010 | 22.53 % change on previous year | -12731.8% |
| 2011 | 14.15 % change on previous year | -37.2% |
| 2012 | -0.9853 % change on previous year | -107.0% |
| 2013 | -2.35 % change on previous year | +138.5% |
| 2014 | -4.46 % change on previous year | +89.8% |
| 2015 | -7.49 % change on previous year | +67.8% |
| 2016 | 2.31 % change on previous year | -130.8% |
| 2017 | 1.18 % change on previous year | -48.9% |
| 2018 | -0.5825 % change on previous year | -149.4% |
| 2019 | 1.8 % change on previous year | -408.6% |
| 2020 | 3.85 % change on previous year | +114.0% |
| 2021 | 6.58 % change on previous year | +71.1% |
| 2022 | -2.02 % change on previous year | -130.6% |
| 2023 | 0.7297 % change on previous year | -136.2% |
| 2024 | 1.79 % change on previous year | +145.9% |
Biggest year-on-year movements
Years where Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in South-eastern Asia 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 |
|---|---|---|---|
| 2010 | +12731.8% | -0.1784 % change on previous year | 22.53 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 10.27 % change on previous year | -3 % change on previous year | 28.03 % change on previous year | 9 |
| 1980s | 0.3556 % change on previous year | -6.9 % change on previous year | 8.05 % change on previous year | 10 |
| 1990s | 0.924 % change on previous year | -29.9 % change on previous year | 13.59 % change on previous year | 10 |
| 2000s | 6.62 % change on previous year | -8.32 % change on previous year | 20.02 % change on previous year | 10 |
| 2010s | 2.61 % change on previous year | -7.49 % change on previous year | 22.53 % change on previous year | 10 |
| 2020s | 2.19 % change on previous year | -2.02 % change on previous year | 6.58 % change on previous year | 5 |
Countries ranked near South-eastern Asia
- 9 Curaçao 27.67 % change on previous year compare
- 10 South Africa 27.56 % change on previous year compare
- 11 Sweden 24.46 % change on previous year compare
- 12 Côte d'Ivoire 23.84 % change on previous year compare
- 13 Haiti 22.81 % change on previous year compare
- 14 Suriname 22.1 % change on previous year compare
- 15 Naoero 22.07 % change on previous year compare
More environment data for South-eastern Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly 1.01 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.59 Percentage change (2025)
- Standard Deviation 0.195 °C (2025)
- Temperature change 1.1 °C (2025)
- Total fibre furnish — Production 22.16 million t (2024)
- Recovered paper — Production 10.49 million t (2024)
- Nutrient nitrogen N (total) — Use per area of cropland 54.39 kg/ha (2024)
- Nutrient nitrogen N (total) — Use per capita 11.54 kg/cap (2024)
- Nutrient potash K2O (total) — Use per capita 6.08 kg/cap (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value us$ in South-eastern Asia?
- Value added deflator (agriculture, forestry and fishery) — value us$ in South-eastern Asia was 1.79 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest value added deflator (agriculture, forestry and fishery) — value us$ recorded in South-eastern Asia?
- The highest recorded value was 28.03 % change on previous year in 1973.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value us$ recorded in South-eastern Asia?
- The lowest recorded value was -29.9 % change on previous year in 1998.
- How does South-eastern Asia rank for value added deflator (agriculture, forestry and fishery) — value us$?
- South-eastern Asia ranks 12th out of 24 groups with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value us$ rising or falling in South-eastern Asia?
- Over the last ten years it is up 140.2%. The long-run trend across the full record is volatile.
- Where does this South-eastern Asia data come from?
- The figures come from Statizoid (derived), published as part of Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Value Added Deflator (Agriculture, forestry and fishery) — Value US$ 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 Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.