Dominican Republic vs Rwanda: Oranges — Gross per capita Production Index Number
Dominican Republic
76.59
in 2024
Rwanda
72.02
in 2024
Dominican Republic rank
88th
Rwanda rank
90th
Oranges — Gross per capita Production Index Number over time
- Dominican Republic
- Rwanda
How they compare
Dominican Republic currently reports 76.59 against 72.02 in Rwanda, a difference of 4.57.
That makes Dominican Republic's figure about 1.1 times Rwanda's.
The two have swapped places 6 times across 20 shared years of data; in 2005 it was Dominican Republic ahead.
Dominican Republic ranks 88th and Rwanda ranks 90th of 108 countries.
Across the 3 decades both report, Dominican Republic averaged higher in 1 and Rwanda in 2.
Head to head by decade
| Decade | Dominican Republic | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 84.74 | 64.69 | 20.04 | Dominican Republic |
| 2010s | 97.67 | 111.75 | 14.08 | Rwanda |
| 2020s | 65.92 | 75.25 | 9.33 | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross per capita production index number, Dominican Republic or Rwanda?
- Dominican Republic, at 76.59 against 72.02 in Rwanda as of 2024.
- What is the difference in oranges — gross per capita production index number between Dominican Republic and Rwanda?
- 4.57, with Dominican Republic ahead.
- How many years of comparable data are there for Dominican Republic and Rwanda?
- 20 years are reported by both, from 2005 to 2024.
- How do Dominican Republic and Rwanda rank globally for oranges — gross per capita production index number?
- Dominican Republic ranks 88th and Rwanda ranks 90th of 108 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — 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.