Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bhutan
Bhutan: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 322.79 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bhutan, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Bhutan stood at 322.79 million USD. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 3.1% on the previous year and up 29.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Bhutan peaked at 322.79 million USD in 2024 and was at its lowest, 70.89 million USD, in 1970.
That places Bhutan 152nd out of 200 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bhutan, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 70.89 million USD | — |
| 1971 | 72.8 million USD | +2.7% |
| 1972 | 73.64 million USD | +1.1% |
| 1973 | 74.69 million USD | +1.4% |
| 1974 | 78.64 million USD | +5.3% |
| 1975 | 75.94 million USD | -3.4% |
| 1976 | 82.65 million USD | +8.8% |
| 1977 | 89.72 million USD | +8.6% |
| 1978 | 95.27 million USD | +6.2% |
| 1979 | 99.77 million USD | +4.7% |
| 1980 | 107.7 million USD | +7.9% |
| 1981 | 113.73 million USD | +5.6% |
| 1982 | 119.19 million USD | +4.8% |
| 1983 | 128.35 million USD | +7.7% |
| 1984 | 135 million USD | +5.2% |
| 1985 | 140.77 million USD | +4.3% |
| 1986 | 147.84 million USD | +5.0% |
| 1987 | 154.63 million USD | +4.6% |
| 1988 | 166.27 million USD | +7.5% |
| 1989 | 175.57 million USD | +5.6% |
| 1990 | 184.62 million USD | +5.2% |
| 1991 | 183.4 million USD | -0.7% |
| 1992 | 184.56 million USD | +0.6% |
| 1993 | 184.08 million USD | -0.3% |
| 1994 | 185.75 million USD | +0.9% |
| 1995 | 188.48 million USD | +1.5% |
| 1996 | 192.31 million USD | +2.0% |
| 1997 | 193.69 million USD | +0.7% |
| 1998 | 189.3 million USD | -2.3% |
| 1999 | 183.87 million USD | -2.9% |
| 2000 | 183.77 million USD | -0.1% |
| 2001 | 194.11 million USD | +5.6% |
| 2002 | 199.5 million USD | +2.8% |
| 2003 | 203.59 million USD | +2.1% |
| 2004 | 207.73 million USD | +2.0% |
| 2005 | 210.33 million USD | +1.2% |
| 2006 | 215.81 million USD | +2.6% |
| 2007 | 217.66 million USD | +0.9% |
| 2008 | 219.05 million USD | +0.6% |
| 2009 | 226.12 million USD | +3.2% |
| 2010 | 228.28 million USD | +1.0% |
| 2011 | 233.7 million USD | +2.4% |
| 2012 | 239.35 million USD | +2.4% |
| 2013 | 243.78 million USD | +1.9% |
| 2014 | 249.5 million USD | +2.3% |
| 2015 | 262.43 million USD | +5.2% |
| 2016 | 274.46 million USD | +4.6% |
| 2017 | 283.06 million USD | +3.1% |
| 2018 | 291.18 million USD | +2.9% |
| 2019 | 296.22 million USD | +1.7% |
| 2020 | 308.06 million USD | +4.0% |
| 2021 | 312.45 million USD | +1.4% |
| 2022 | 308.88 million USD | -1.1% |
| 2023 | 313.11 million USD | +1.4% |
| 2024 | 322.79 million USD | +3.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 81.4 million USD | 70.89 million USD | 99.77 million USD | 10 |
| 1980s | 138.9 million USD | 107.7 million USD | 175.57 million USD | 10 |
| 1990s | 187.01 million USD | 183.4 million USD | 193.69 million USD | 10 |
| 2000s | 207.77 million USD | 183.77 million USD | 226.12 million USD | 10 |
| 2010s | 260.19 million USD | 228.28 million USD | 296.22 million USD | 10 |
| 2020s | 313.06 million USD | 308.06 million USD | 322.79 million USD | 5 |
Countries ranked near Bhutan
More environment data for Bhutan
- Historical exposure to drought — Land soil moisture anomaly 0.2782 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 0.5977 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.257 °C (2025)
- Temperature change 2.08 °C (2025)
- Other paper and paperboard, not elsewhere specified — Import -85.06 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0 t per person (2024)
- Exposure to drought — Land soil moisture anomaly -1.35 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -18.02 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value -50 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Bhutan?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Bhutan was 322.79 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$, 2015 recorded in Bhutan?
- The highest recorded value was 322.79 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Bhutan?
- The lowest recorded value was 70.89 million USD in 1970.
- How does Bhutan rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Bhutan ranks 152nd out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Bhutan?
- Over the last ten years it is up 29.4%. The long-run trend across the full record is rising.
- Where does this Bhutan 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.
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).