North Macedonia vs Portugal: Watermelons — Gross per capita Production Index Number
North Macedonia
109.31
in 2024
Portugal
109.94
in 2017
North Macedonia rank
47th
Portugal rank
44th
Watermelons — Gross per capita Production Index Number over time
- North Macedonia
- Portugal
How they compare
Portugal currently reports 109.94 against 109.31 in North Macedonia, a difference of 0.63.
The two have swapped places 1 time across 26 shared years of data; in 1992 it was North Macedonia ahead.
North Macedonia ranks 47th and Portugal ranks 44th of 109 countries.
North Macedonia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | North Macedonia | Portugal | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 79.84 | 6.11 | 73.73 | North Macedonia |
| 2000s | 91.95 | 7.93 | 84.03 | North Macedonia |
| 2010s | 95.32 | 87.85 | 7.47 | North Macedonia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, North Macedonia or Portugal?
- Portugal, at 109.94 against 109.31 in North Macedonia as of 2017.
- What is the difference in watermelons — gross per capita production index number between North Macedonia and Portugal?
- 0.63, with Portugal ahead.
- How many years of comparable data are there for North Macedonia and Portugal?
- 26 years are reported by both, from 1992 to 2017.
- How do North Macedonia and Portugal rank globally for watermelons — gross per capita production index number?
- North Macedonia ranks 47th and Portugal ranks 44th 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.