Africa vs Romania: Walnuts, in shell — Gross per capita Production Index Number
Africa
113.05
in 2024
Romania
140.04
in 2017
Africa rank
15th
Romania rank
13th
Walnuts, in shell — Gross per capita Production Index Number over time
- Africa
- Romania
How they compare
Romania currently reports 140.04 against 113.05 in Africa, a difference of 26.99.
That makes Romania's figure about 1.2 times Africa's.
The two have swapped places 2 times across 55 shared years of data; in 1961 it was Romania ahead.
Africa ranks 15th and Romania ranks 13th of 22 groups.
Romania has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Africa | Romania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 16.6 | 115.83 | 99.23 | Romania |
| 1970s | 10.73 | 86.87 | 76.14 | Romania |
| 1980s | 5.94 | 94.45 | 88.51 | Romania |
| 1990s | 5.66 | 78.46 | 72.8 | Romania |
| 2000s | 36.65 | 99.4 | 62.74 | Romania |
| 2010s | 72.62 | 103.99 | 31.37 | Romania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher walnuts, in shell — gross per capita production index number, Africa or Romania?
- Romania, at 140.04 against 113.05 in Africa as of 2017.
- What is the difference in walnuts, in shell — gross per capita production index number between Africa and Romania?
- 26.99, with Romania ahead.
- How many years of comparable data are there for Africa and Romania?
- 55 years are reported by both, from 1961 to 2017.
- How do Africa and Romania rank globally for walnuts, in shell — gross per capita production index number?
- Africa ranks 15th and Romania ranks 13th of 22 groups.
- 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.