Democratic Republic of the Congo vs Rwanda: Pineapples — Gross Production Index Number
Pineapples — Gross Production Index Number over time
- Democratic Republic of the Congo
- Rwanda
How they compare
Rwanda currently reports 182.01 against 95.36 in Democratic Republic of the Congo, a difference of 86.65.
That makes Rwanda's figure about 1.9 times Democratic Republic of the Congo's.
The two have swapped places 5 times across 25 shared years of data; in 2000 it was Democratic Republic of the Congo ahead.
Democratic Republic of the Congo ranks 12th and Rwanda ranks 12th of 13 countries.
Rwanda has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Democratic Republic of the Congo | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 100.17 | 113.52 | 13.36 | Rwanda |
| 2010s | 100.29 | 141.45 | 41.16 | Rwanda |
| 2020s | 95.6 | 170.91 | 75.31 | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pineapples — gross production index number, Democratic Republic of the Congo or Rwanda?
- Rwanda, at 182.01 against 95.36 in Democratic Republic of the Congo as of 2024.
- What is the difference in pineapples — gross production index number between Democratic Republic of the Congo and Rwanda?
- 86.65, with Rwanda ahead.
- How many years of comparable data are there for Democratic Republic of the Congo and Rwanda?
- 25 years are reported by both, from 2000 to 2024.
- How do Democratic Republic of the Congo and Rwanda rank globally for pineapples — gross production index number?
- Democratic Republic of the Congo ranks 12th and Rwanda ranks 12th of 13 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Pineapples — Gross 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.