Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Viet Nam
Viet Nam: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 46,035 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Viet Nam, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Viet Nam recorded 46,035 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
The figure is up 3.3% on the previous year and up 36.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Viet Nam peaked at 46,035 million USD in 2024 and was at its lowest, 5,325 million USD, in 1970.
That places Viet Nam 5th out of 20 groups with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Viet Nam, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 5,325 million USD | — |
| 1971 | 5,527 million USD | +3.8% |
| 1972 | 5,636 million USD | +2.0% |
| 1973 | 5,555 million USD | -1.4% |
| 1974 | 5,693 million USD | +2.5% |
| 1975 | 5,863 million USD | +3.0% |
| 1976 | 6,508 million USD | +11.0% |
| 1977 | 7,391 million USD | +13.6% |
| 1978 | 7,522 million USD | +1.8% |
| 1979 | 8,026 million USD | +6.7% |
| 1980 | 7,747 million USD | -3.5% |
| 1981 | 8,195 million USD | +5.8% |
| 1982 | 8,861 million USD | +8.1% |
| 1983 | 9,497 million USD | +7.2% |
| 1984 | 10,287 million USD | +8.3% |
| 1985 | 10,854 million USD | +5.5% |
| 1986 | 11,266 million USD | +3.8% |
| 1987 | 11,491 million USD | +2.0% |
| 1988 | 12,055 million USD | +4.9% |
| 1989 | 12,871 million USD | +6.8% |
| 1990 | 13,072 million USD | +1.6% |
| 1991 | 13,356 million USD | +2.2% |
| 1992 | 14,302 million USD | +7.1% |
| 1993 | 14,848 million USD | +3.8% |
| 1994 | 15,431 million USD | +3.9% |
| 1995 | 16,172 million USD | +4.8% |
| 1996 | 16,884 million USD | +4.4% |
| 1997 | 17,614 million USD | +4.3% |
| 1998 | 18,235 million USD | +3.5% |
| 1999 | 19,189 million USD | +5.2% |
| 2000 | 20,079 million USD | +4.6% |
| 2001 | 20,678 million USD | +3.0% |
| 2002 | 21,540 million USD | +4.2% |
| 2003 | 22,320 million USD | +3.6% |
| 2004 | 23,294 million USD | +4.4% |
| 2005 | 24,230 million USD | +4.0% |
| 2006 | 25,436 million USD | +5.0% |
| 2007 | 26,653 million USD | +4.8% |
| 2008 | 28,137 million USD | +5.6% |
| 2009 | 28,785 million USD | +2.3% |
| 2010 | 29,774 million USD | +3.4% |
| 2011 | 31,037 million USD | +4.2% |
| 2012 | 31,928 million USD | +2.9% |
| 2013 | 32,736 million USD | +2.5% |
| 2014 | 33,785 million USD | +3.2% |
| 2015 | 34,632 million USD | +2.5% |
| 2016 | 35,205 million USD | +1.7% |
| 2017 | 36,320 million USD | +3.2% |
| 2018 | 37,815 million USD | +4.1% |
| 2019 | 38,823 million USD | +2.7% |
| 2020 | 40,003 million USD | +3.0% |
| 2021 | 41,488 million USD | +3.7% |
| 2022 | 42,930 million USD | +3.5% |
| 2023 | 44,576 million USD | +3.8% |
| 2024 | 46,035 million USD | +3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6,305 million USD | 5,325 million USD | 8,026 million USD | 10 |
| 1980s | 10,312 million USD | 7,747 million USD | 12,871 million USD | 10 |
| 1990s | 15,910 million USD | 13,072 million USD | 19,189 million USD | 10 |
| 2000s | 24,115 million USD | 20,079 million USD | 28,785 million USD | 10 |
| 2010s | 34,206 million USD | 29,774 million USD | 38,823 million USD | 10 |
| 2020s | 43,006 million USD | 40,003 million USD | 46,035 million USD | 5 |
Countries ranked near Viet Nam
- 2 India 517,972 million USD compare
- 3 Indonesia 145,191 million USD compare
- 3 Türkiye 69,137 million USD compare
- 4 Nigeria 124,966 million USD compare
- 5 USSR 121,217 million USD compare
- 6 Brazil 99,335 million USD compare
- 7 Pakistan 90,262 million USD compare
- 8 Russian Federation 60,030 million USD compare
More environment data for Viet Nam
- Historical exposure to drought — Cropland soil moisture anomaly 0.6413 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly 0.2718 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.303 °C (2025)
- Temperature change 0.817 °C (2025)
- Inland waters — Area 1,791 1000 ha (2024)
- Permanent meadows and pastures — Area 642 1000 ha (2024)
- Permanent meadows and pastures — Share in Agricultural land 5.22 % (2024)
- Permanent meadows and pastures — Share in Land area 2.05 % (2024)
- Land area equipped for irrigation — Share in Cropland 39.36 % (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Viet Nam?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Viet Nam was 46,035 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$, 2015 recorded in Viet Nam?
- The highest recorded value was 46,035 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Viet Nam?
- The lowest recorded value was 5,325 million USD in 1970.
- How does Viet Nam rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Viet Nam ranks 5th out of 20 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Viet Nam?
- Over the last ten years it is up 36.3%. The long-run trend across the full record is volatile.
- Where does this Viet Nam 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$, 2015 prices. Statizoid updates them automatically from the source API.
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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).