Bhutan vs Sierra Leone: Millet — Gross Production Index Number
Bhutan
23.47
in 2024
Sierra Leone
18.31
in 2024
Bhutan rank
75th
Sierra Leone rank
78th
Millet — Gross Production Index Number over time
- Bhutan
- Sierra Leone
How they compare
Bhutan currently reports 23.47 against 18.31 in Sierra Leone, a difference of 5.16.
That makes Bhutan's figure about 1.3 times Sierra Leone's.
The two have swapped places 2 times across 64 shared years of data; in 1961 it was Bhutan ahead.
Bhutan ranks 75th and Sierra Leone ranks 78th of 78 countries.
Across the 7 decades both report, Bhutan averaged higher in 6 and Sierra Leone in 1.
Head to head by decade
| Decade | Bhutan | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 142.63 | 25.73 | 116.91 | Bhutan |
| 1970s | 181.47 | 18.54 | 162.93 | Bhutan |
| 1980s | 280.03 | 49.5 | 230.53 | Bhutan |
| 1990s | 241.76 | 50.07 | 191.69 | Bhutan |
| 2000s | 200.04 | 40.25 | 159.79 | Bhutan |
| 2010s | 122.95 | 95.43 | 27.51 | Bhutan |
| 2020s | 36.03 | 71.68 | 35.65 | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher millet — gross production index number, Bhutan or Sierra Leone?
- Bhutan, at 23.47 against 18.31 in Sierra Leone as of 2024.
- What is the difference in millet — gross production index number between Bhutan and Sierra Leone?
- 5.16, with Bhutan ahead.
- How many years of comparable data are there for Bhutan and Sierra Leone?
- 64 years are reported by both, from 1961 to 2024.
- How do Bhutan and Sierra Leone rank globally for millet — gross production index number?
- Bhutan ranks 75th and Sierra Leone ranks 78th of 78 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — Gross Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.