India vs Saint Kitts and Nevis: Watermelons — Gross per capita Production Index Number
Watermelons — Gross per capita Production Index Number over time
- India
- Saint Kitts and Nevis
How they compare
India currently reports 162.86 against 140.76 in Saint Kitts and Nevis, a difference of 22.1.
That makes India's figure about 1.2 times Saint Kitts and Nevis's.
The two have swapped places 7 times across 32 shared years of data; in 1993 it was Saint Kitts and Nevis ahead.
India ranks 17th and Saint Kitts and Nevis ranks 20th of 109 countries.
Across the 4 decades both report, India averaged higher in 1 and Saint Kitts and Nevis in 3.
Head to head by decade
| Decade | India | Saint Kitts and Nevis | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 36.7 | 73.37 | 36.67 | Saint Kitts and Nevis |
| 2000s | 54.46 | 89.65 | 35.19 | Saint Kitts and Nevis |
| 2010s | 94.24 | 150.86 | 56.62 | Saint Kitts and Nevis |
| 2020s | 151.87 | 140.15 | 11.72 | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, India or Saint Kitts and Nevis?
- India, at 162.86 against 140.76 in Saint Kitts and Nevis as of 2024.
- What is the difference in watermelons — gross per capita production index number between India and Saint Kitts and Nevis?
- 22.1, with India ahead.
- How many years of comparable data are there for India and Saint Kitts and Nevis?
- 32 years are reported by both, from 1993 to 2024.
- How do India and Saint Kitts and Nevis rank globally for watermelons — gross per capita production index number?
- India ranks 17th and Saint Kitts and Nevis ranks 20th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita 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.