Value Added (Agriculture, Forestry and Fishing) — Value US$ in South-Eastern Asia
South-Eastern Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 371,620 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in South-Eastern Asia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$ in South-Eastern Asia is 371,620 million USD, measured in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 2.4% on the previous year and up 29.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in South-Eastern Asia peaked at 371,620 million USD in 2024 and was at its lowest, 11,960 million USD, in 1970.
South-Eastern Asia ranks 8th of 29 groups on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 24,164 million USD | 11,960 million USD | 39,739 million USD | 10 |
| 1980s | 47,704 million USD | 43,386 million USD | 57,504 million USD | 10 |
| 1990s | 73,200 million USD | 53,589 million USD | 96,582 million USD | 10 |
| 2000s | 114,071 million USD | 66,220 million USD | 190,692 million USD | 10 |
| 2010s | 284,452 million USD | 239,229 million USD | 309,951 million USD | 10 |
| 2020s | 353,870 million USD | 323,941 million USD | 371,620 million USD | 5 |
Countries ranked near South-Eastern Asia
- 5 Brazil 121,604 million USD compare
- 6 Pakistan 89,494 million USD compare
- 7 Russian Federation 71,994 million USD compare
- 8 Mexico 69,773 million USD compare
- 9 Ethiopia 49,767 million USD compare
- 10 Australia and New Zealand 49,149 million USD compare
- 11 Bangladesh 48,315 million USD compare
More environment data for South-Eastern Asia
- Historical exposure to drought — Cropland soil moisture anomaly 1.59 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly 1.01 Percentage change (2025)
- Standard Deviation 0.195 °C (2025)
- Temperature change 1.1 °C (2025)
- Recovered paper — Production 10.49 million t (2024)
- Total fibre furnish — Production 22.16 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 (agriculture, forestry and fishing) — value us$ in South-Eastern Asia?
- Value added (agriculture, forestry and fishing) — value us$ in South-Eastern Asia was 371,620 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$ recorded in South-Eastern Asia?
- The highest recorded value was 371,620 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in South-Eastern Asia?
- The lowest recorded value was 11,960 million USD in 1970.
- How does South-Eastern Asia rank for value added (agriculture, forestry and fishing) — value us$?
- South-Eastern Asia ranks 8th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in South-Eastern Asia?
- Over the last ten years it is up 29.3%. The long-run trend across the full record is volatile.
- Where does this South-Eastern Asia 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 US$. 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).