Kazakhstan vs Trinidad and Tobago: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- Kazakhstan
- Trinidad and Tobago
How they compare
Kazakhstan currently reports 87.91 against 81.47 in Trinidad and Tobago, a difference of 6.44.
That makes Kazakhstan's figure about 1.1 times Trinidad and Tobago's.
The two have swapped places 5 times across 31 shared years of data; in 1994 it was Trinidad and Tobago ahead.
Kazakhstan ranks 87th and Trinidad and Tobago ranks 90th of 109 countries.
Across the 4 decades both report, Kazakhstan averaged higher in 1 and Trinidad and Tobago in 3.
Head to head by decade
| Decade | Kazakhstan | Trinidad and Tobago | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 20.4 | 360.48 | 340.08 | Trinidad and Tobago |
| 2000s | 44.93 | 186.81 | 141.89 | Trinidad and Tobago |
| 2010s | 95.41 | 117.48 | 22.06 | Trinidad and Tobago |
| 2020s | 116.19 | 109.3 | 6.89 | Kazakhstan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Kazakhstan or Trinidad and Tobago?
- Kazakhstan, at 87.91 against 81.47 in Trinidad and Tobago as of 2024.
- What is the difference in watermelons — gross production index number between Kazakhstan and Trinidad and Tobago?
- 6.44, with Kazakhstan ahead.
- How many years of comparable data are there for Kazakhstan and Trinidad and Tobago?
- 31 years are reported by both, from 1994 to 2024.
- How do Kazakhstan and Trinidad and Tobago rank globally for watermelons — gross production index number?
- Kazakhstan ranks 87th and Trinidad and Tobago ranks 90th 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.