Value Added Deflator (Agriculture, forestry and fishery) — Value in Myanmar
Myanmar: Value Added Deflator (Agriculture, forestry and fishery) — Value was 141.2 SLC in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value in Myanmar, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in SLC.
Analysis
In 2024, value added deflator (agriculture, forestry and fishery) — value in Myanmar stood at 141.2 SLC.
That represents a change of up 5.8% on the previous year and up 46.4% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value in Myanmar peaked at 145.37 SLC in 2020 and was at its lowest, 0.2001 SLC, in 1971.
That places Myanmar 105th out of 191 countries with data for 2024, putting it 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 in Myanmar, year by year
| Year | SLC | Change |
|---|---|---|
| 1970 | 0.2051 SLC | — |
| 1971 | 0.2001 SLC | -2.4% |
| 1972 | 0.2192 SLC | +9.5% |
| 1973 | 0.2718 SLC | +24.0% |
| 1974 | 0.3234 SLC | +19.0% |
| 1975 | 0.3856 SLC | +19.2% |
| 1976 | 0.4229 SLC | +9.7% |
| 1977 | 0.4188 SLC | -1.0% |
| 1978 | 0.4113 SLC | -1.8% |
| 1979 | 0.4501 SLC | +9.4% |
| 1980 | 0.4499 SLC | -0.0% |
| 1981 | 0.4725 SLC | +5.0% |
| 1982 | 0.4888 SLC | +3.4% |
| 1983 | 0.4961 SLC | +1.5% |
| 1984 | 0.5197 SLC | +4.8% |
| 1985 | 0.5324 SLC | +2.4% |
| 1986 | 0.5817 SLC | +9.3% |
| 1987 | 0.7833 SLC | +34.7% |
| 1988 | 1.03 SLC | +31.6% |
| 1989 | 1.6 SLC | +55.6% |
| 1990 | 1.93 SLC | +20.2% |
| 1991 | 2.49 SLC | +29.4% |
| 1992 | 3.1 SLC | +24.3% |
| 1993 | 4.46 SLC | +43.9% |
| 1994 | 5.52 SLC | +23.8% |
| 1995 | 6.42 SLC | +16.3% |
| 1996 | 8.03 SLC | +25.0% |
| 1997 | 10.73 SLC | +33.7% |
| 1998 | 15.05 SLC | +40.2% |
| 1999 | 18.64 SLC | +23.9% |
| 2000 | 18.47 SLC | -0.9% |
| 2001 | 23.55 SLC | +27.5% |
| 2002 | 33.64 SLC | +42.9% |
| 2003 | 38.35 SLC | +14.0% |
| 2004 | 38.68 SLC | +0.9% |
| 2005 | 45.28 SLC | +17.0% |
| 2006 | 53.28 SLC | +17.7% |
| 2007 | 67.42 SLC | +26.5% |
| 2008 | 74.35 SLC | +10.3% |
| 2009 | 77.26 SLC | +3.9% |
| 2010 | 83.76 SLC | +8.4% |
| 2011 | 86.56 SLC | +3.3% |
| 2012 | 88.7 SLC | +2.5% |
| 2013 | 93.52 SLC | +5.4% |
| 2014 | 96.48 SLC | +3.2% |
| 2015 | 100 SLC | +3.7% |
| 2016 | 104.83 SLC | +4.8% |
| 2017 | 107.55 SLC | +2.6% |
| 2018 | 136.32 SLC | +26.8% |
| 2019 | 141.03 SLC | +3.5% |
| 2020 | 145.37 SLC | +3.1% |
| 2021 | 123.62 SLC | -15.0% |
| 2022 | 130.58 SLC | +5.6% |
| 2023 | 133.5 SLC | +2.2% |
| 2024 | 141.2 SLC | +5.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.3308 SLC | 0.2001 SLC | 0.4501 SLC | 10 |
| 1980s | 0.6959 SLC | 0.4499 SLC | 1.6 SLC | 10 |
| 1990s | 7.64 SLC | 1.93 SLC | 18.64 SLC | 10 |
| 2000s | 47.03 SLC | 18.47 SLC | 77.26 SLC | 10 |
| 2010s | 103.87 SLC | 83.76 SLC | 141.03 SLC | 10 |
| 2020s | 134.85 SLC | 123.62 SLC | 145.37 SLC | 5 |
Countries ranked near Myanmar
- 102 Equatorial Guinea 142.53 SLC compare
- 103 Finland 142.38 SLC compare
- 104 Mauritania 141.47 SLC compare
- 106 Netherlands (Kingdom of the) 141.17 SLC compare
- 107 Serbia 140.78 SLC compare
- 108 Nicaragua 140.03 SLC compare
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)
- Wood-based panels — Import quantity, annual growth rate -16.8 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0016 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate -42.52 % change on previous year (2024)
- Wood-based panels — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value in Myanmar?
- Value added deflator (agriculture, forestry and fishery) — value in Myanmar was 141.2 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 Myanmar?
- The highest recorded value was 145.37 SLC in 2020.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value recorded in Myanmar?
- The lowest recorded value was 0.2001 SLC in 1971.
- How does Myanmar rank for value added deflator (agriculture, forestry and fishery) — value?
- Myanmar ranks 105th out of 191 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value rising or falling in Myanmar?
- Over the last ten years it is up 46.4%. The long-run trend across the full record is volatile.
- Where does this Myanmar 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.
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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).