Niger vs United Republic of Tanzania: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- Niger
- United Republic of Tanzania
How they compare
Niger currently reports 1,528 against 190.08 in United Republic of Tanzania, a difference of 1,338.
That makes Niger's figure about 8.0 times United Republic of Tanzania's.
The two have swapped places 5 times across 30 shared years of data; in 1993 it was United Republic of Tanzania ahead.
Niger ranks 1st and United Republic of Tanzania ranks 4th of 109 countries.
Niger has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Niger | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 39.77 | 6.57 | 33.2 | Niger |
| 2000s | 43.17 | 10.84 | 32.33 | Niger |
| 2010s | 93.16 | 86.48 | 6.68 | Niger |
| 2020s | 811.03 | 169.66 | 641.37 | Niger |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Niger or United Republic of Tanzania?
- Niger, at 1,528 against 190.08 in United Republic of Tanzania as of 2024.
- What is the difference in watermelons — gross production index number between Niger and United Republic of Tanzania?
- 1,338, with Niger ahead.
- How many years of comparable data are there for Niger and United Republic of Tanzania?
- 30 years are reported by both, from 1993 to 2024.
- How do Niger and United Republic of Tanzania rank globally for watermelons — gross production index number?
- Niger ranks 1st and United Republic of Tanzania ranks 4th of 109 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.