Congo vs Réunion: Onions and shallots, dry: Gross Production Value … I constant
Congo
262 1000 Int$
in 2024
Réunion
227 1000 Int$
in 2005
Congo rank
168th
Réunion rank
170th
Onions and shallots, dry: Gross Production Value … I constant over time
- Congo
- Réunion
How they compare
Congo currently reports 262 1000 Int$ against 227 1000 Int$ in Réunion, a difference of 35 1000 Int$.
That makes Congo's figure about 1.2 times Réunion's.
The two have swapped places 1 time across 16 shared years of data; in 1990 it was Réunion ahead.
Congo ranks 168th and Réunion ranks 170th of 179 countries.
Réunion has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Congo | Réunion | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 185.4 1000 Int$ | 1,308 1000 Int$ | 1,123 1000 Int$ | Réunion |
| 2000s | 218.67 1000 Int$ | 340 1000 Int$ | 121.33 1000 Int$ | Réunion |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher onions and shallots, dry (excluding dehydrated) — gross production, Congo or Réunion?
- Congo, at 262 1000 Int$ against 227 1000 Int$ in Réunion as of 2024.
- What is the difference in onions and shallots, dry (excluding dehydrated) — gross production between Congo and Réunion?
- 35 1000 Int$, with Congo ahead.
- How many years of comparable data are there for Congo and Réunion?
- 16 years are reported by both, from 1990 to 2005.
- How do Congo and Réunion rank globally for onions and shallots, dry (excluding dehydrated) — gross production?
- Congo ranks 168th and Réunion ranks 170th of 179 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Onions and shallots, dry (excluding dehydrated) — Gross Production Value (constant 2014-2016 thousand I$). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.