Value Added (Agriculture, Forestry and Fishing) — Value Standard in Myanmar
Myanmar: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 28.29 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Myanmar, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Myanmar stood at 28.29 million million SLC. That is the highest value across all 55 years on record.
That represents a change of up 1.7% on the previous year and up 55.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Myanmar peaked at 28.29 million million SLC in 2024 and was at its lowest, 5,232 million SLC, in 1970.
That places Myanmar 14th out of 199 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Myanmar, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 5,232 million SLC | — |
| 1971 | 5,347 million SLC | +2.2% |
| 1972 | 5,701 million SLC | +6.6% |
| 1973 | 7,084 million SLC | +24.2% |
| 1974 | 8,830 million SLC | +24.7% |
| 1975 | 11,051 million SLC | +25.2% |
| 1976 | 12,788 million SLC | +15.7% |
| 1977 | 13,309 million SLC | +4.1% |
| 1978 | 14,058 million SLC | +5.6% |
| 1979 | 16,203 million SLC | +15.3% |
| 1980 | 17,970 million SLC | +10.9% |
| 1981 | 20,330 million SLC | +13.1% |
| 1982 | 22,319 million SLC | +9.8% |
| 1983 | 23,711 million SLC | +6.2% |
| 1984 | 25,795 million SLC | +8.8% |
| 1985 | 26,983 million SLC | +4.6% |
| 1986 | 29,633 million SLC | +9.8% |
| 1987 | 37,990 million SLC | +28.2% |
| 1988 | 43,739 million SLC | +15.1% |
| 1989 | 71,069 million SLC | +62.5% |
| 1990 | 87,000 million SLC | +22.4% |
| 1991 | 109,888 million SLC | +26.3% |
| 1992 | 150,902 million SLC | +37.3% |
| 1993 | 227,035 million SLC | +50.5% |
| 1994 | 297,665 million SLC | +31.1% |
| 1995 | 362,750 million SLC | +21.9% |
| 1996 | 475,895 million SLC | +31.2% |
| 1997 | 659,596 million SLC | +38.6% |
| 1998 | 950,573 million SLC | +44.1% |
| 1999 | 1.31 million million SLC | +38.1% |
| 2000 | 1.46 million million SLC | +11.3% |
| 2001 | 2.03 million million SLC | +38.6% |
| 2002 | 3.07 million million SLC | +51.5% |
| 2003 | 3.91 million million SLC | +27.3% |
| 2004 | 4.37 million million SLC | +11.9% |
| 2005 | 5.74 million million SLC | +31.2% |
| 2006 | 7.40 million million SLC | +29.0% |
| 2007 | 10.11 million million SLC | +36.6% |
| 2008 | 11.77 million million SLC | +16.5% |
| 2009 | 12.92 million million SLC | +9.7% |
| 2010 | 14.66 million million SLC | +13.5% |
| 2011 | 15.05 million million SLC | +2.7% |
| 2012 | 15.68 million million SLC | +4.2% |
| 2013 | 17.13 million million SLC | +9.3% |
| 2014 | 18.16 million million SLC | +6.0% |
| 2015 | 19.47 million million SLC | +7.2% |
| 2016 | 20.22 million million SLC | +3.9% |
| 2017 | 20.98 million million SLC | +3.7% |
| 2018 | 21.91 million million SLC | +4.5% |
| 2019 | 23.03 million million SLC | +5.1% |
| 2020 | 24.06 million million SLC | +4.5% |
| 2021 | 25.86 million million SLC | +7.5% |
| 2022 | 27.99 million million SLC | +8.3% |
| 2023 | 27.81 million million SLC | -0.7% |
| 2024 | 28.29 million million SLC | +1.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 9,960 million SLC | 5,232 million SLC | 16,203 million SLC | 10 |
| 1980s | 31,954 million SLC | 17,970 million SLC | 71,069 million SLC | 10 |
| 1990s | 463,359 million SLC | 87,000 million SLC | 1.31 million million SLC | 10 |
| 2000s | 6.28 million million SLC | 1.46 million million SLC | 12.92 million million SLC | 10 |
| 2010s | 18.63 million million SLC | 14.66 million million SLC | 23.03 million million SLC | 10 |
| 2020s | 26.80 million million SLC | 24.06 million million SLC | 28.29 million million SLC | 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)
- Printing and writing papers — Import quantity, annual growth rate -41.28 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.001 t per person (2024)
- Printing and writing papers — Import value, annual growth rate -45.22 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0011 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate -27.01 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Myanmar?
- Value added (agriculture, forestry and fishing) — value standard in Myanmar was 28.29 million million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Myanmar?
- The highest recorded value was 28.29 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Myanmar?
- The lowest recorded value was 5,232 million SLC in 1970.
- How does Myanmar rank for value added (agriculture, forestry and fishing) — value standard?
- Myanmar ranks 14th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Myanmar?
- Over the last ten years it is up 55.8%. 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 (Agriculture, Forestry and Fishing) — Value Standard Local Currency. 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 Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).