Guatemala vs Jordan: Watermelons — Gross per capita Production Index Number
Guatemala
39.24
in 2024
Jordan
46.71
in 2024
Guatemala rank
107th
Jordan rank
104th
Watermelons — Gross per capita Production Index Number over time
- Guatemala
- Jordan
How they compare
Jordan currently reports 46.71 against 39.24 in Guatemala, a difference of 7.47.
That makes Jordan's figure about 1.2 times Guatemala's.
The two have swapped places 8 times across 45 shared years of data; in 1980 it was Jordan ahead.
Guatemala ranks 107th and Jordan ranks 104th of 109 countries.
Across the 5 decades both report, Guatemala averaged higher in 1 and Jordan in 4.
Head to head by decade
| Decade | Guatemala | Jordan | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 64.75 | 154.28 | 89.53 | Jordan |
| 1990s | 140.08 | 162.38 | 22.3 | Jordan |
| 2000s | 46.95 | 101.5 | 54.55 | Jordan |
| 2010s | 79.75 | 102.18 | 22.42 | Jordan |
| 2020s | 77.8 | 71.51 | 6.29 | Guatemala |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Guatemala or Jordan?
- Jordan, at 46.71 against 39.24 in Guatemala as of 2024.
- What is the difference in watermelons — gross per capita production index number between Guatemala and Jordan?
- 7.47, with Jordan ahead.
- How many years of comparable data are there for Guatemala and Jordan?
- 45 years are reported by both, from 1980 to 2024.
- How do Guatemala and Jordan rank globally for watermelons — gross per capita production index number?
- Guatemala ranks 107th and Jordan ranks 104th 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.