Iraq vs Northern Africa: Watermelons — Gross Production Index Number
Iraq
138.63
in 2024
Northern Africa
87.13
in 2024
Iraq rank
29th
Northern Africa rank
26th
Watermelons — Gross Production Index Number over time
- Iraq
- Northern Africa
How they compare
Iraq currently reports 138.63 against 87.13 in Northern Africa, a difference of 51.5.
That makes Iraq's figure about 1.6 times Northern Africa's.
The two have swapped places 2 times across 64 shared years of data; in 1961 it was Iraq ahead.
Iraq ranks 29th and Northern Africa ranks 26th of 109 countries.
Iraq has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Iraq | Northern Africa | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 180.49 | 25.62 | 154.87 | Iraq |
| 1970s | 234.29 | 34.75 | 199.54 | Iraq |
| 1980s | 278.7 | 42.11 | 236.59 | Iraq |
| 1990s | 234.62 | 47.8 | 186.82 | Iraq |
| 2000s | 260.07 | 77.11 | 182.97 | Iraq |
| 2010s | 141.76 | 94.52 | 47.24 | Iraq |
| 2020s | 166.53 | 90.38 | 76.15 | Iraq |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Iraq or Northern Africa?
- Iraq, at 138.63 against 87.13 in Northern Africa as of 2024.
- What is the difference in watermelons — gross production index number between Iraq and Northern Africa?
- 51.5, with Iraq ahead.
- How many years of comparable data are there for Iraq and Northern Africa?
- 64 years are reported by both, from 1961 to 2024.
- How do Iraq and Northern Africa rank globally for watermelons — gross production index number?
- Iraq ranks 29th 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 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.