Croatia vs North Macedonia: Walnuts, in shell — Gross per capita Production Index Number
Croatia
122.6
in 2017
North Macedonia
115.35
in 2024
Croatia rank
19th
North Macedonia rank
22nd
Walnuts, in shell — Gross per capita Production Index Number over time
- Croatia
- North Macedonia
How they compare
Croatia currently reports 122.6 against 115.35 in North Macedonia, a difference of 7.25.
That makes Croatia's figure about 1.1 times North Macedonia's.
The two have swapped places 6 times across 26 shared years of data; in 1992 it was Croatia ahead.
Croatia ranks 19th and North Macedonia ranks 22nd of 53 countries.
Croatia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Croatia | North Macedonia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 155.92 | 61.73 | 94.19 | Croatia |
| 2000s | 160.67 | 69.51 | 91.16 | Croatia |
| 2010s | 94.39 | 93.99 | 0.4075 | Croatia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher walnuts, in shell — gross per capita production index number, Croatia or North Macedonia?
- Croatia, at 122.6 against 115.35 in North Macedonia as of 2017.
- What is the difference in walnuts, in shell — gross per capita production index number between Croatia and North Macedonia?
- 7.25, with Croatia ahead.
- How many years of comparable data are there for Croatia and North Macedonia?
- 26 years are reported by both, from 1992 to 2017.
- How do Croatia and North Macedonia rank globally for walnuts, in shell — gross per capita production index number?
- Croatia ranks 19th and North Macedonia ranks 22nd of 53 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Walnuts, in shell — 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.