Melanesia vs United Republic of Tanzania: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- Melanesia
- United Republic of Tanzania
How they compare
Melanesia currently reports 3,629 against 190.08 in United Republic of Tanzania, a difference of 3,439.
That makes Melanesia's figure about 19.1 times United Republic of Tanzania's.
The two have swapped places 6 times across 35 shared years of data; in 1990 it was Melanesia ahead.
Melanesia ranks 1st and United Republic of Tanzania ranks 4th of 16 countries.
Melanesia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Melanesia | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 32.08 | 5.8 | 26.28 | Melanesia |
| 2000s | 56.29 | 10.84 | 45.45 | Melanesia |
| 2010s | 91.8 | 86.48 | 5.32 | Melanesia |
| 2020s | 2,222 | 169.66 | 2,052 | Melanesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Melanesia or United Republic of Tanzania?
- Melanesia, at 3,629 against 190.08 in United Republic of Tanzania as of 2024.
- What is the difference in watermelons — gross production index number between Melanesia and United Republic of Tanzania?
- 3,439, with Melanesia ahead.
- How many years of comparable data are there for Melanesia and United Republic of Tanzania?
- 35 years are reported by both, from 1990 to 2024.
- How do Melanesia and United Republic of Tanzania rank globally for watermelons — gross production index number?
- Melanesia ranks 1st and United Republic of Tanzania ranks 4th of 16 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — 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.