Bangladesh vs Melanesia: Tea leaves — Gross Production Index Number
Bangladesh
155.56
in 2024
Melanesia
96.5
in 2024
Bangladesh rank
6th
Melanesia rank
9th
Tea leaves — Gross Production Index Number over time
- Bangladesh
- Melanesia
How they compare
Bangladesh currently reports 155.56 against 96.5 in Melanesia, a difference of 59.06.
That makes Bangladesh's figure about 1.6 times Melanesia's.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Bangladesh ahead.
Bangladesh ranks 6th and Melanesia ranks 9th of 41 countries.
Across the 7 decades both report, Bangladesh averaged higher in 3 and Melanesia in 4.
Head to head by decade
| Decade | Bangladesh | Melanesia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 9.72 | 0.1689 | 9.55 | Bangladesh |
| 1970s | 10.74 | 12.48 | 1.74 | Melanesia |
| 1980s | 14.31 | 25.51 | 11.2 | Melanesia |
| 1990s | 70.88 | 79.15 | 8.27 | Melanesia |
| 2000s | 87.08 | 102.76 | 15.67 | Melanesia |
| 2010s | 107.27 | 99.42 | 7.85 | Bangladesh |
| 2020s | 148.84 | 93.01 | 55.82 | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher tea leaves — gross production index number, Bangladesh or Melanesia?
- Bangladesh, at 155.56 against 96.5 in Melanesia as of 2024.
- What is the difference in tea leaves — gross production index number between Bangladesh and Melanesia?
- 59.06, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Melanesia?
- 64 years are reported by both, from 1961 to 2024.
- How do Bangladesh and Melanesia rank globally for tea leaves — gross production index number?
- Bangladesh ranks 6th and Melanesia ranks 9th of 41 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Tea leaves — 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.