Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Bhutan

Bhutan: Value Added (Agriculture, Forestry and Fishing) β€” Value US$ was 487.58 million USD in 2024. β—† Volatile

Latest (2024)
487.58 million USD
Change on year
up 7.9%
World rank
160th
of 217 countries
All-time high
487.58 million USD
in 2024
All-time low
26.45 million USD
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Bhutan, 1970–2024

0100200300400500197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million USD.

Analysis

In 2024, value added (agriculture, forestry and fishing) β€” value us$ in Bhutan stood at 487.58 million USD. That is the highest value across all 55 years on record.

The figure is up 7.9% on the previous year and up 93.5% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) β€” value us$ in Bhutan peaked at 487.58 million USD in 2024 and was at its lowest, 26.45 million USD, in 1970.

Bhutan ranks 160th of 217 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.

Averages by decade

DecadeAverage LowestHighest Years
1970s 35.99 million USD 26.45 million USD 44.35 million USD 10
1980s 75.94 million USD 57.67 million USD 101.16 million USD 10
1990s 92.23 million USD 73.01 million USD 107.26 million USD 10
2000s 147.44 million USD 99.61 million USD 190.88 million USD 10
2010s 274.06 million USD 212.12 million USD 353.83 million USD 10
2020s 437.55 million USD 385.92 million USD 487.58 million USD 5

Countries ranked near Bhutan

  1. 157 Comoros 563.3 million USD compare
  2. 158 Greenland 544.27 million USD compare
  3. 159 Fiji 488.31 million USD compare
  4. 161 Cyprus 428.74 million USD compare
  5. 162 Eritrea 423.2 million USD compare
  6. 163 Montenegro 416.29 million USD compare

See the full ranking of 249 places β†’

More environment data for Bhutan

All data for Bhutan β†’

Frequently asked questions

What is value added (agriculture, forestry and fishing) β€” value us$ in Bhutan?
Value added (agriculture, forestry and fishing) β€” value us$ in Bhutan was 487.58 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) β€” value us$ recorded in Bhutan?
The highest recorded value was 487.58 million USD in 2024.
What is the lowest value added (agriculture, forestry and fishing) β€” value us$ recorded in Bhutan?
The lowest recorded value was 26.45 million USD in 1970.
How does Bhutan rank for value added (agriculture, forestry and fishing) β€” value us$?
Bhutan ranks 160th out of 217 countries with data for 2024.
Is value added (agriculture, forestry and fishing) β€” value us$ rising or falling in Bhutan?
Over the last ten years it is up 93.5%. 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) β€” Value US$. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Bhutan. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us/bhutan/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) β€” Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

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).