Oranges: Gross Production Value (constant 2014-2016) … square in Bhutan
Bhutan: Oranges: Gross Production Value (constant 2014-2016) … square was 0.1811 1000 Int$ per square kilometre in 2023. ▲ Rising
Oranges — Gross Production Value (constant 2014-2016 thousand I$) in Bhutan, 1961–2023
Source: Statizoid (derived). Measured in 1000 Int$ per square kilometre.
Analysis
The most recent figure for oranges — gross production value (constant 2014-2016 thousand i$) in Bhutan is 0.1811 1000 Int$ per square kilometre, measured in 2023.
The figure is up 14.6% on the previous year and down 56.9% over ten years.
Over the whole period, oranges — gross production value (constant 2014-2016 thousand i$) in Bhutan peaked at 0.5445 1000 Int$ per square kilometre in 2011 and was at its lowest, 0.1117 1000 Int$ per square kilometre, in 1961.
Bhutan ranks 44th of 102 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 63 years of available data.
Oranges: Gross Production Value (constant 2014-2016) … square in Bhutan, year by year
| Year | 1000 Int$ per square kilometre | Change |
|---|---|---|
| 1961 | 0.1117 1000 Int$ per square kilometre | — |
| 1962 | 0.1152 1000 Int$ per square kilometre | +3.1% |
| 1963 | 0.1187 1000 Int$ per square kilometre | +3.0% |
| 1964 | 0.1222 1000 Int$ per square kilometre | +2.9% |
| 1965 | 0.1257 1000 Int$ per square kilometre | +2.9% |
| 1966 | 0.1292 1000 Int$ per square kilometre | +2.8% |
| 1967 | 0.1327 1000 Int$ per square kilometre | +2.7% |
| 1968 | 0.1362 1000 Int$ per square kilometre | +2.6% |
| 1969 | 0.1397 1000 Int$ per square kilometre | +2.6% |
| 1970 | 0.1431 1000 Int$ per square kilometre | +2.5% |
| 1971 | 0.1466 1000 Int$ per square kilometre | +2.4% |
| 1972 | 0.1501 1000 Int$ per square kilometre | +2.4% |
| 1973 | 0.1536 1000 Int$ per square kilometre | +2.3% |
| 1974 | 0.1571 1000 Int$ per square kilometre | +2.3% |
| 1975 | 0.1606 1000 Int$ per square kilometre | +2.2% |
| 1976 | 0.1641 1000 Int$ per square kilometre | +2.2% |
| 1977 | 0.1676 1000 Int$ per square kilometre | +2.1% |
| 1978 | 0.1746 1000 Int$ per square kilometre | +4.2% |
| 1979 | 0.176 1000 Int$ per square kilometre | +0.8% |
| 1980 | 0.1774 1000 Int$ per square kilometre | +0.8% |
| 1981 | 0.1788 1000 Int$ per square kilometre | +0.8% |
| 1982 | 0.1871 1000 Int$ per square kilometre | +4.7% |
| 1983 | 0.1955 1000 Int$ per square kilometre | +4.5% |
| 1984 | 0.27 1000 Int$ per square kilometre | +38.1% |
| 1985 | 0.1816 1000 Int$ per square kilometre | -32.8% |
| 1986 | 0.1885 1000 Int$ per square kilometre | +3.8% |
| 1987 | 0.3708 1000 Int$ per square kilometre | +96.7% |
| 1988 | 0.3771 1000 Int$ per square kilometre | +1.7% |
| 1989 | 0.3841 1000 Int$ per square kilometre | +1.9% |
| 1990 | 0.4029 1000 Int$ per square kilometre | +4.9% |
| 1991 | 0.4036 1000 Int$ per square kilometre | +0.2% |
| 1992 | 0.4043 1000 Int$ per square kilometre | +0.2% |
| 1993 | 0.405 1000 Int$ per square kilometre | +0.2% |
| 1994 | 0.4274 1000 Int$ per square kilometre | +5.5% |
| 1995 | 0.4106 1000 Int$ per square kilometre | -3.9% |
| 1996 | 0.383 1000 Int$ per square kilometre | -6.7% |
| 1997 | 0.3648 1000 Int$ per square kilometre | -4.8% |
| 1998 | 0.3327 1000 Int$ per square kilometre | -8.8% |
| 1999 | 0.3224 1000 Int$ per square kilometre | -3.1% |
| 2000 | 0.2459 1000 Int$ per square kilometre | -23.7% |
| 2001 | 0.2658 1000 Int$ per square kilometre | +8.1% |
| 2002 | 0.3058 1000 Int$ per square kilometre | +15.0% |
| 2003 | 0.2976 1000 Int$ per square kilometre | -2.7% |
| 2004 | 0.2732 1000 Int$ per square kilometre | -8.2% |
| 2005 | 0.414 1000 Int$ per square kilometre | +51.6% |
| 2006 | 0.4755 1000 Int$ per square kilometre | +14.9% |
| 2007 | 0.4152 1000 Int$ per square kilometre | -12.7% |
| 2008 | 0.397 1000 Int$ per square kilometre | -4.4% |
| 2009 | 0.3604 1000 Int$ per square kilometre | -9.2% |
| 2010 | 0.4504 1000 Int$ per square kilometre | +25.0% |
| 2011 | 0.5445 1000 Int$ per square kilometre | +20.9% |
| 2012 | 0.4237 1000 Int$ per square kilometre | -22.2% |
| 2013 | 0.42 1000 Int$ per square kilometre | -0.9% |
| 2014 | 0.3551 1000 Int$ per square kilometre | -15.5% |
| 2015 | 0.1368 1000 Int$ per square kilometre | -61.5% |
| 2016 | 0.3593 1000 Int$ per square kilometre | +162.7% |
| 2017 | 0.2396 1000 Int$ per square kilometre | -33.3% |
| 2018 | 0.2269 1000 Int$ per square kilometre | -5.3% |
| 2019 | 0.2355 1000 Int$ per square kilometre | +3.8% |
| 2020 | 0.2195 1000 Int$ per square kilometre | -6.8% |
| 2021 | 0.1366 1000 Int$ per square kilometre | -37.8% |
| 2022 | 0.158 1000 Int$ per square kilometre | +15.7% |
| 2023 | 0.1811 1000 Int$ per square kilometre | +14.6% |
Bhutan compared with similar countries
- Bhutan's 0.1811 1000 Int$ per square kilometre is above the median for lower middle income countries, which is 0.1498 1000 Int$ per square kilometre, 1.2× the median. (27 countries reporting)
- Bhutan's 0.1811 1000 Int$ per square kilometre is above the median for South Asia, which is 0.1103 1000 Int$ per square kilometre, 1.6× the median. (5 countries reporting)
Biggest year-on-year movements
Years where Oranges: Gross Production Value (constant 2014-2016) … square in Bhutan changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2016 | +162.7% | 0.1368 1000 Int$ per square kilometre | 0.3593 1000 Int$ per square kilometre |
| 1987 | +96.7% | 0.1885 1000 Int$ per square kilometre | 0.3708 1000 Int$ per square kilometre |
| 2015 | -61.5% | 0.3551 1000 Int$ per square kilometre | 0.1368 1000 Int$ per square kilometre |
| 2005 | +51.6% | 0.2732 1000 Int$ per square kilometre | 0.414 1000 Int$ per square kilometre |
| 2021 | -37.8% | 0.2195 1000 Int$ per square kilometre | 0.1366 1000 Int$ per square kilometre |
| 1984 | +38.1% | 0.1955 1000 Int$ per square kilometre | 0.27 1000 Int$ per square kilometre |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.1257 1000 Int$ per square kilometre | 0.1117 1000 Int$ per square kilometre | 0.1397 1000 Int$ per square kilometre | 9 |
| 1970s | 0.1593 1000 Int$ per square kilometre | 0.1431 1000 Int$ per square kilometre | 0.176 1000 Int$ per square kilometre | 10 |
| 1980s | 0.2511 1000 Int$ per square kilometre | 0.1774 1000 Int$ per square kilometre | 0.3841 1000 Int$ per square kilometre | 10 |
| 1990s | 0.3857 1000 Int$ per square kilometre | 0.3224 1000 Int$ per square kilometre | 0.4274 1000 Int$ per square kilometre | 10 |
| 2000s | 0.345 1000 Int$ per square kilometre | 0.2459 1000 Int$ per square kilometre | 0.4755 1000 Int$ per square kilometre | 10 |
| 2010s | 0.3392 1000 Int$ per square kilometre | 0.1368 1000 Int$ per square kilometre | 0.5445 1000 Int$ per square kilometre | 10 |
| 2020s | 0.1738 1000 Int$ per square kilometre | 0.1366 1000 Int$ per square kilometre | 0.2195 1000 Int$ per square kilometre | 4 |
Countries ranked near Bhutan
- 41 Guinea 0.2026 1000 Int$ per square kilometre compare
- 42 Uruguay 0.196 1000 Int$ per square kilometre compare
- 43 Panama 0.1843 1000 Int$ per square kilometre compare
- 45 Algeria 0.1795 1000 Int$ per square kilometre compare
- 46 Albania 0.1743 1000 Int$ per square kilometre compare
- 47 Belize 0.16 1000 Int$ per square kilometre compare
More agriculture & rural data for Bhutan
- Agriculture, forestry, and fishing, value added (current US$), annual 3.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1368 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 614.64 current US$ per person (2025)
- Rural population, annual growth rate -0.8653 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.5657 units per person (2025)
- Share of GDP from agriculture 13.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 13.7% (2025)
- Agricultural raw materials exports 2.0% (2025)
- Agricultural raw materials imports 1.8% (2025)
Frequently asked questions
- What is oranges — gross production value (constant 2014-2016 thousand i$) in Bhutan?
- Oranges — gross production value (constant 2014-2016 thousand i$) in Bhutan was 0.1811 1000 Int$ per square kilometre in 2023, according to Statizoid (derived).
- What is the highest oranges — gross production value (constant 2014-2016 thousand i$) recorded in Bhutan?
- The highest recorded value was 0.5445 1000 Int$ per square kilometre in 2011.
- What is the lowest oranges — gross production value (constant 2014-2016 thousand i$) recorded in Bhutan?
- The lowest recorded value was 0.1117 1000 Int$ per square kilometre in 1961.
- How does Bhutan rank for oranges — gross production value (constant 2014-2016 thousand i$)?
- Bhutan ranks 44th out of 102 countries with data for 2023.
- Is oranges — gross production value (constant 2014-2016 thousand i$) rising or falling in Bhutan?
- Over the last ten years it is down 56.9%. The long-run trend across the full record is rising.
- Where does this Bhutan data come from?
- The figures come from Statizoid (derived), published as part of Oranges — Gross Production Value (constant 2014-2016 thousand I$), per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Oranges — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Oranges — Gross Production Value (constant 2014-2016 thousand I$) ÷ Land area (sq. km)
Computed from
- Oranges — Gross Production Value Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Oranges — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.