Australia vs North Macedonia: Watermelons — Gross per capita Production Index Number
Australia
108.43
in 2024
North Macedonia
109.31
in 2024
Australia rank
49th
North Macedonia rank
47th
Watermelons — Gross per capita Production Index Number over time
- Australia
- North Macedonia
How they compare
North Macedonia currently reports 109.31 against 108.43 in Australia, a difference of 0.88.
The two have swapped places 12 times across 33 shared years of data; in 1992 it was North Macedonia ahead.
Australia ranks 49th and North Macedonia ranks 47th of 109 countries.
Across the 4 decades both report, Australia averaged higher in 2 and North Macedonia in 2.
Head to head by decade
| Decade | Australia | North Macedonia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 56.93 | 79.84 | 22.91 | North Macedonia |
| 2000s | 84.83 | 91.95 | 7.13 | North Macedonia |
| 2010s | 97.28 | 95.98 | 1.3 | Australia |
| 2020s | 102.35 | 100.7 | 1.65 | Australia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Australia or North Macedonia?
- North Macedonia, at 109.31 against 108.43 in Australia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Australia and North Macedonia?
- 0.88, with North Macedonia ahead.
- How many years of comparable data are there for Australia and North Macedonia?
- 33 years are reported by both, from 1992 to 2024.
- How do Australia and North Macedonia rank globally for watermelons — gross per capita production index number?
- Australia ranks 49th and North Macedonia ranks 47th 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.