Guyana vs Northern Africa: Watermelons — Gross per capita Production Index Number
Guyana
133.68
in 2024
Northern Africa
74.43
in 2024
Guyana rank
23rd
Northern Africa rank
26th
Watermelons — Gross per capita Production Index Number over time
- Guyana
- Northern Africa
How they compare
Guyana currently reports 133.68 against 74.43 in Northern Africa, a difference of 59.25.
That makes Guyana's figure about 1.8 times Northern Africa's.
The two have swapped places 3 times across 28 shared years of data; in 1997 it was Northern Africa ahead.
Guyana ranks 23rd and Northern Africa ranks 26th of 109 countries.
Across the 4 decades both report, Guyana averaged higher in 1 and Northern Africa in 3.
Head to head by decade
| Decade | Guyana | Northern Africa | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.88 | 79.64 | 78.76 | Northern Africa |
| 2000s | 5.24 | 93.46 | 88.22 | Northern Africa |
| 2010s | 75.7 | 95.24 | 19.54 | Northern Africa |
| 2020s | 138.01 | 79.55 | 58.46 | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Guyana or Northern Africa?
- Guyana, at 133.68 against 74.43 in Northern Africa as of 2024.
- What is the difference in watermelons — gross per capita production index number between Guyana and Northern Africa?
- 59.25, with Guyana ahead.
- How many years of comparable data are there for Guyana and Northern Africa?
- 28 years are reported by both, from 1997 to 2024.
- How do Guyana and Northern Africa rank globally for watermelons — gross per capita production index number?
- Guyana ranks 23rd and Northern Africa ranks 26th 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.