Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bhutan
Bhutan: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 40,795 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bhutan, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Bhutan is 40,795 million SLC, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 9.3% on the previous year and up 165.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Bhutan peaked at 40,795 million SLC in 2024 and was at its lowest, 198.35 million SLC, in 1970.
Bhutan ranks 95th of 199 countries on this measure, in the middle of the range.
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 Bhutan, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 198.35 million SLC | — |
| 1971 | 212.82 million SLC | +7.3% |
| 1972 | 227.98 million SLC | +7.1% |
| 1973 | 261.15 million SLC | +14.6% |
| 1974 | 322.56 million SLC | +23.5% |
| 1975 | 311.16 million SLC | -3.5% |
| 1976 | 337.78 million SLC | +8.6% |
| 1977 | 369.23 million SLC | +9.3% |
| 1978 | 328.26 million SLC | -11.1% |
| 1979 | 360.41 million SLC | +9.8% |
| 1980 | 453.47 million SLC | +25.8% |
| 1981 | 512.09 million SLC | +12.9% |
| 1982 | 584.64 million SLC | +14.2% |
| 1983 | 690.15 million SLC | +18.0% |
| 1984 | 795.1 million SLC | +15.2% |
| 1985 | 902.09 million SLC | +13.5% |
| 1986 | 1,045 million SLC | +15.8% |
| 1987 | 1,168 million SLC | +11.8% |
| 1988 | 1,408 million SLC | +20.5% |
| 1989 | 1,548 million SLC | +9.9% |
| 1990 | 1,779 million SLC | +14.9% |
| 1991 | 1,846 million SLC | +3.8% |
| 1992 | 2,153 million SLC | +16.6% |
| 1993 | 2,226 million SLC | +3.4% |
| 1994 | 2,819 million SLC | +26.6% |
| 1995 | 3,002 million SLC | +6.5% |
| 1996 | 3,363 million SLC | +12.0% |
| 1997 | 3,895 million SLC | +15.8% |
| 1998 | 4,135 million SLC | +6.2% |
| 1999 | 4,247 million SLC | +2.7% |
| 2000 | 4,477 million SLC | +5.4% |
| 2001 | 4,889 million SLC | +9.2% |
| 2002 | 5,661 million SLC | +15.8% |
| 2003 | 6,009 million SLC | +6.2% |
| 2004 | 6,458 million SLC | +7.5% |
| 2005 | 6,843 million SLC | +6.0% |
| 2006 | 7,408 million SLC | +8.3% |
| 2007 | 7,740 million SLC | +4.5% |
| 2008 | 8,304 million SLC | +7.3% |
| 2009 | 9,026 million SLC | +8.7% |
| 2010 | 9,699 million SLC | +7.5% |
| 2011 | 10,891 million SLC | +12.3% |
| 2012 | 12,204 million SLC | +12.1% |
| 2013 | 13,500 million SLC | +10.6% |
| 2014 | 15,381 million SLC | +13.9% |
| 2015 | 16,835 million SLC | +9.5% |
| 2016 | 19,013 million SLC | +12.9% |
| 2017 | 21,820 million SLC | +14.8% |
| 2018 | 23,941 million SLC | +9.7% |
| 2019 | 24,917 million SLC | +4.1% |
| 2020 | 28,596 million SLC | +14.8% |
| 2021 | 32,326 million SLC | +13.0% |
| 2022 | 33,423 million SLC | +3.4% |
| 2023 | 37,312 million SLC | +11.6% |
| 2024 | 40,795 million SLC | +9.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 292.97 million SLC | 198.35 million SLC | 369.23 million SLC | 10 |
| 1980s | 910.6 million SLC | 453.47 million SLC | 1,548 million SLC | 10 |
| 1990s | 2,947 million SLC | 1,779 million SLC | 4,247 million SLC | 10 |
| 2000s | 6,681 million SLC | 4,477 million SLC | 9,026 million SLC | 10 |
| 2010s | 16,820 million SLC | 9,699 million SLC | 24,917 million SLC | 10 |
| 2020s | 34,491 million SLC | 28,596 million SLC | 40,795 million SLC | 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)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0056 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate -11.03 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0009 t per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Bhutan?
- Value added (agriculture, forestry and fishing) — value standard in Bhutan was 40,795 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 Bhutan?
- The highest recorded value was 40,795 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Bhutan?
- The lowest recorded value was 198.35 million SLC in 1970.
- How does Bhutan rank for value added (agriculture, forestry and fishing) — value standard?
- Bhutan ranks 95th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Bhutan?
- Over the last ten years it is up 165.2%. The long-run trend across the full record is volatile.
- 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 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).