Congo vs Guyana: Okra — Gross Production Value
Congo
3.76 million 1000 SLC
in 2024
Guyana
11.61 million 1000 SLC
in 2024
Congo rank
12th
Guyana rank
9th
Okra — Gross Production Value over time
- Congo
- Guyana
How they compare
Guyana currently reports 11.61 million 1000 SLC against 3.76 million 1000 SLC in Congo, a difference of 7.84 million 1000 SLC.
That makes Guyana's figure about 3.1 times Congo's.
The two have swapped places 4 times across 28 shared years of data; in 1997 it was Guyana ahead.
Congo ranks 12th and Guyana ranks 9th of 40 countries.
Across the 4 decades both report, Congo averaged higher in 2 and Guyana in 2.
Head to head by decade
| Decade | Congo | Guyana | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 401,601 1000 SLC | 563,910 1000 SLC | 162,308 1000 SLC | Guyana |
| 2000s | 897,327 1000 SLC | 605,542 1000 SLC | 291,785 1000 SLC | Congo |
| 2010s | 2.83 million 1000 SLC | 1.53 million 1000 SLC | 1.30 million 1000 SLC | Congo |
| 2020s | 3.60 million 1000 SLC | 7.46 million 1000 SLC | 3.86 million 1000 SLC | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher okra — gross production value, Congo or Guyana?
- Guyana, at 11.61 million 1000 SLC against 3.76 million 1000 SLC in Congo as of 2024.
- What is the difference in okra — gross production value between Congo and Guyana?
- 7.84 million 1000 SLC, with Guyana ahead.
- How many years of comparable data are there for Congo and Guyana?
- 28 years are reported by both, from 1997 to 2024.
- How do Congo and Guyana rank globally for okra — gross production value?
- Congo ranks 12th and Guyana ranks 9th of 40 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Okra — Gross Production Value (current thousand SLC). 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.