Sugar Crops Primary — Gross Production Value (constant 2014-2016) in Bhutan
Bhutan: Sugar Crops Primary — Gross Production Value (constant 2014-2016) was 0.0003 1000 Int$ per square kilometre in 2023. ◆ Volatile
Sugar Crops Primary — Gross Production Value (constant 2014-2016) in Bhutan, 1982–2023
Source: Statizoid (derived). Measured in 1000 Int$ per square kilometre.
Analysis
The most recent figure for sugar crops primary — gross production value (constant 2014-2016) in Bhutan is 0.0003 1000 Int$ per square kilometre, measured in 2023.
That represents a change of down 14.3% on the previous year and down 7.7% over ten years.
Over the whole period, sugar crops primary — gross production value (constant 2014-2016) in Bhutan peaked at 0.0118 1000 Int$ per square kilometre in 1990 and was at its lowest, 0.0001 1000 Int$ per square kilometre, in 2018.
Bhutan ranks 129th of 134 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar Crops Primary — Gross Production Value (constant 2014-2016) in Bhutan, year by year
| Year | 1000 Int$ per square kilometre | Change |
|---|---|---|
| 1982 | 0.0082 1000 Int$ per square kilometre | — |
| 1983 | 0.0086 1000 Int$ per square kilometre | +5.8% |
| 1984 | 0.0104 1000 Int$ per square kilometre | +20.5% |
| 1985 | 0.0106 1000 Int$ per square kilometre | +1.4% |
| 1986 | 0.011 1000 Int$ per square kilometre | +4.5% |
| 1987 | 0.0113 1000 Int$ per square kilometre | +2.7% |
| 1988 | 0.0115 1000 Int$ per square kilometre | +1.7% |
| 1989 | 0.0117 1000 Int$ per square kilometre | +1.7% |
| 1990 | 0.0118 1000 Int$ per square kilometre | +0.7% |
| 1991 | 0.001 1000 Int$ per square kilometre | -91.8% |
| 1992 | 0.0009 1000 Int$ per square kilometre | -2.2% |
| 1993 | 0.0009 1000 Int$ per square kilometre | -2.3% |
| 1994 | 0.0011 1000 Int$ per square kilometre | +14.7% |
| 1995 | 0.001 1000 Int$ per square kilometre | -2.4% |
| 1996 | 0.001 1000 Int$ per square kilometre | +0.0% |
| 1997 | 0.001 1000 Int$ per square kilometre | -2.4% |
| 1998 | 0.001 1000 Int$ per square kilometre | +0.0% |
| 1999 | 0.001 1000 Int$ per square kilometre | -2.5% |
| 2000 | 0.001 1000 Int$ per square kilometre | +0.0% |
| 2001 | 0.001 1000 Int$ per square kilometre | -2.6% |
| 2002 | 0.001 1000 Int$ per square kilometre | +0.0% |
| 2003 | 0.001 1000 Int$ per square kilometre | +0.0% |
| 2004 | 0.001 1000 Int$ per square kilometre | +4.4% |
| 2005 | 0.001 1000 Int$ per square kilometre | +0.0% |
| 2006 | 0.001 1000 Int$ per square kilometre | +0.0% |
| 2007 | 0.0017 1000 Int$ per square kilometre | +71.1% |
| 2008 | 0.0009 1000 Int$ per square kilometre | -47.7% |
| 2009 | 0.0008 1000 Int$ per square kilometre | -8.8% |
| 2010 | 0.0007 1000 Int$ per square kilometre | -12.9% |
| 2011 | 0.0006 1000 Int$ per square kilometre | -11.1% |
| 2012 | 0.0003 1000 Int$ per square kilometre | -58.3% |
| 2013 | 0.0003 1000 Int$ per square kilometre | +30.0% |
| 2014 | 0.0004 1000 Int$ per square kilometre | +15.4% |
| 2015 | 0.0006 1000 Int$ per square kilometre | +53.3% |
| 2016 | 0.0004 1000 Int$ per square kilometre | -34.8% |
| 2017 | 0.0004 1000 Int$ per square kilometre | -6.7% |
| 2018 | 0.0001 1000 Int$ per square kilometre | -64.3% |
| 2019 | 0.0005 1000 Int$ per square kilometre | +260.0% |
| 2020 | 0.0003 1000 Int$ per square kilometre | -33.3% |
| 2021 | 0.0003 1000 Int$ per square kilometre | -8.3% |
| 2022 | 0.0004 1000 Int$ per square kilometre | +27.3% |
| 2023 | 0.0003 1000 Int$ per square kilometre | -14.3% |
Bhutan compared with similar countries
- Bhutan's 0.0003 1000 Int$ per square kilometre is below the median for lower middle income countries, which is 0.1642 1000 Int$ per square kilometre, 0% of the median. (31 countries reporting)
- Bhutan's 0.0003 1000 Int$ per square kilometre is below the median for South Asia, which is 0.9801 1000 Int$ per square kilometre, 0% of the median. (5 countries reporting)
Biggest year-on-year movements
Years where Sugar Crops Primary — Gross Production Value (constant 2014-2016) 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 |
|---|---|---|---|
| 2019 | +260.0% | 0.0001 1000 Int$ per square kilometre | 0.0005 1000 Int$ per square kilometre |
| 1991 | -91.8% | 0.0118 1000 Int$ per square kilometre | 0.001 1000 Int$ per square kilometre |
| 2007 | +71.1% | 0.001 1000 Int$ per square kilometre | 0.0017 1000 Int$ per square kilometre |
| 2018 | -64.3% | 0.0004 1000 Int$ per square kilometre | 0.0001 1000 Int$ per square kilometre |
| 2012 | -58.3% | 0.0006 1000 Int$ per square kilometre | 0.0003 1000 Int$ per square kilometre |
| 2015 | +53.3% | 0.0004 1000 Int$ per square kilometre | 0.0006 1000 Int$ per square kilometre |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.0104 1000 Int$ per square kilometre | 0.0082 1000 Int$ per square kilometre | 0.0117 1000 Int$ per square kilometre | 8 |
| 1990s | 0.0021 1000 Int$ per square kilometre | 0.0009 1000 Int$ per square kilometre | 0.0118 1000 Int$ per square kilometre | 10 |
| 2000s | 0.001 1000 Int$ per square kilometre | 0.0008 1000 Int$ per square kilometre | 0.0017 1000 Int$ per square kilometre | 10 |
| 2010s | 0.0004 1000 Int$ per square kilometre | 0.0001 1000 Int$ per square kilometre | 0.0007 1000 Int$ per square kilometre | 10 |
| 2020s | 0.0003 1000 Int$ per square kilometre | 0.0003 1000 Int$ per square kilometre | 0.0004 1000 Int$ per square kilometre | 4 |
Countries ranked near Bhutan
- 126 Bosnia and Herzegovina 0.0005 1000 Int$ per square kilometre compare
- 127 Greece 0.0004 1000 Int$ per square kilometre compare
- 128 Samoa 0.0004 1000 Int$ per square kilometre compare
- 130 Oman 0.0002 1000 Int$ per square kilometre compare
- 131 Uzbekistan 0.0002 1000 Int$ per square kilometre compare
- 132 Djibouti 0.0001 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 sugar crops primary — gross production value (constant 2014-2016) in Bhutan?
- Sugar crops primary — gross production value (constant 2014-2016) in Bhutan was 0.0003 1000 Int$ per square kilometre in 2023, according to Statizoid (derived).
- What is the highest sugar crops primary — gross production value (constant 2014-2016) recorded in Bhutan?
- The highest recorded value was 0.0118 1000 Int$ per square kilometre in 1990.
- What is the lowest sugar crops primary — gross production value (constant 2014-2016) recorded in Bhutan?
- The lowest recorded value was 0.0001 1000 Int$ per square kilometre in 2018.
- How does Bhutan rank for sugar crops primary — gross production value (constant 2014-2016)?
- Bhutan ranks 129th out of 134 countries with data for 2023.
- Is sugar crops primary — gross production value (constant 2014-2016) rising or falling in Bhutan?
- Over the last ten years it is down 7.7%. The long-run trend across the full record is volatile.
- Where does this Bhutan data come from?
- The figures come from Statizoid (derived), published as part of Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$), per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 42 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) 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.
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) ÷ Land area (sq. km)
Computed from
- Sugar Crops Primary — Gross Production Value Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) 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.