Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Myanmar
Myanmar: Value Added Deflator (Agriculture, forestry and fishery) — Value US$ was -38.19 % change on previous year in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Myanmar, 1971–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2024, value added deflator (agriculture, forestry and fishery) — value us$ in Myanmar stood at -38.19 % change on previous year. That is the lowest value across all 54 years on record.
The figure is down 270.8% on the previous year and down 1,671.8% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value us$ in Myanmar peaked at 37.24 % change on previous year in 1973 and was at its lowest, -38.19 % change on previous year, in 2024.
That places Myanmar 217th out of 219 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.
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Myanmar, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1971 | -2.48 % change on previous year | — |
| 1972 | -4.39 % change on previous year | +77.2% |
| 1973 | 37.24 % change on previous year | -948.4% |
| 1974 | 20.67 % change on previous year | -44.5% |
| 1975 | -9.11 % change on previous year | -144.1% |
| 1976 | 4.3 % change on previous year | -147.2% |
| 1977 | -6.01 % change on previous year | -239.8% |
| 1978 | 2.08 % change on previous year | -134.6% |
| 1979 | 12.96 % change on previous year | +522.5% |
| 1980 | 0.7004 % change on previous year | -94.6% |
| 1981 | -4.9 % change on previous year | -799.6% |
| 1982 | -3.11 % change on previous year | -36.5% |
| 1983 | -1.71 % change on previous year | -45.0% |
| 1984 | 0.4248 % change on previous year | -124.8% |
| 1985 | 0.3645 % change on previous year | -14.2% |
| 1986 | -21.71 % change on previous year | -6055.6% |
| 1987 | 13.82 % change on previous year | -163.7% |
| 1988 | 8.79 % change on previous year | -36.4% |
| 1989 | 2.57 % change on previous year | -70.7% |
| 1990 | 5.21 % change on previous year | +102.4% |
| 1991 | 8.09 % change on previous year | +55.4% |
| 1992 | 4.4 % change on previous year | -45.6% |
| 1993 | 8.11 % change on previous year | +84.6% |
| 1994 | 3.58 % change on previous year | -55.8% |
| 1995 | -0.7408 % change on previous year | -120.7% |
| 1996 | 3.45 % change on previous year | -565.7% |
| 1997 | 2.55 % change on previous year | -26.0% |
| 1998 | -36.66 % change on previous year | -1536.2% |
| 1999 | 1.01 % change on previous year | -102.7% |
| 2000 | -5.92 % change on previous year | -688.1% |
| 2001 | -3.76 % change on previous year | -36.6% |
| 2002 | 22.4 % change on previous year | -696.5% |
| 2003 | -20.46 % change on previous year | -191.3% |
| 2004 | -11.42 % change on previous year | -44.2% |
| 2005 | 0.6314 % change on previous year | -105.5% |
| 2006 | -0.4036 % change on previous year | -163.9% |
| 2007 | 20.29 % change on previous year | -5126.9% |
| 2008 | 24.89 % change on previous year | +22.7% |
| 2009 | 14.12 % change on previous year | -43.2% |
| 2010 | 16.26 % change on previous year | +15.1% |
| 2011 | 23.98 % change on previous year | +47.5% |
| 2012 | -2.42 % change on previous year | -110.1% |
| 2013 | -5.13 % change on previous year | +111.5% |
| 2014 | -2.16 % change on previous year | -58.0% |
| 2015 | -12.24 % change on previous year | +468.1% |
| 2016 | -1.3 % change on previous year | -89.4% |
| 2017 | -6.88 % change on previous year | +429.1% |
| 2018 | 20.6 % change on previous year | -399.5% |
| 2019 | -2.57 % change on previous year | -112.5% |
| 2020 | 13.28 % change on previous year | -616.2% |
| 2021 | 1.03 % change on previous year | -92.2% |
| 2022 | -36.14 % change on previous year | -3592.3% |
| 2023 | -10.3 % change on previous year | -71.5% |
| 2024 | -38.19 % change on previous year | +270.8% |
Biggest year-on-year movements
Years where Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Myanmar 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 |
|---|---|---|---|
| 1986 | -6055.6% | 0.3645 % change on previous year | -21.71 % change on previous year |
| 2007 | +5126.9% | -0.4036 % change on previous year | 20.29 % change on previous year |
| 2022 | -3592.3% | 1.03 % change on previous year | -36.14 % change on previous year |
| 1998 | -1536.2% | 2.55 % change on previous year | -36.66 % change on previous year |
| 1973 | +948.4% | -4.39 % change on previous year | 37.24 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6.14 % change on previous year | -9.11 % change on previous year | 37.24 % change on previous year | 9 |
| 1980s | -0.4753 % change on previous year | -21.71 % change on previous year | 13.82 % change on previous year | 10 |
| 1990s | -0.1 % change on previous year | -36.66 % change on previous year | 8.11 % change on previous year | 10 |
| 2000s | 4.04 % change on previous year | -20.46 % change on previous year | 24.89 % change on previous year | 10 |
| 2010s | 2.81 % change on previous year | -12.24 % change on previous year | 23.98 % change on previous year | 10 |
| 2020s | -14.06 % change on previous year | -38.19 % change on previous year | 13.28 % change on previous year | 5 |
Countries ranked near Myanmar
More environment data for Myanmar
- Historical exposure to drought — Land soil moisture anomaly -0.016 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 0.9805 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.243 °C (2025)
- Temperature change 1.43 °C (2025)
- Cooling Degree Days, annual growth rate 1.28 % change on previous year (2024)
- Heating Degree Days, gaps filled 305.07 (2024)
- Heating Degree Days, per unit of GDP 0 units per US$ of GDP (2024)
- Heating Degree Days, per capita 0 units per person (2024)
- Value Added Deflator (Agriculture, forestry and fishery) — Value 5.77 % change on previous year (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value us$ in Myanmar?
- Value added deflator (agriculture, forestry and fishery) — value us$ in Myanmar was -38.19 % 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 Myanmar?
- The highest recorded value was 37.24 % change on previous year in 1973.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value us$ recorded in Myanmar?
- The lowest recorded value was -38.19 % change on previous year in 2024.
- How does Myanmar rank for value added deflator (agriculture, forestry and fishery) — value us$?
- Myanmar ranks 217th out of 219 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value us$ rising or falling in Myanmar?
- Over the last ten years it is down 1,671.8%. The long-run trend across the full record is volatile.
- Where does this Myanmar 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.