Congo vs Eritrea: Sesame seed — Gross Production Value
Congo
98,380 1000 SLC
in 2024
Eritrea
243,670 1000 SLC
in 2024
Congo rank
31st
Eritrea rank
29th
Sesame seed — Gross Production Value over time
- Congo
- Eritrea
How they compare
Eritrea currently reports 243,670 1000 SLC against 98,380 1000 SLC in Congo, a difference of 145,290 1000 SLC.
That makes Eritrea's figure about 2.5 times Congo's.
The two have swapped places 4 times across 32 shared years of data; in 1993 it was Eritrea ahead.
Congo ranks 31st and Eritrea ranks 29th of 51 countries.
Eritrea has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Eritrea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 103,810 1000 SLC | 276,692 1000 SLC | 172,882 1000 SLC | Eritrea |
| 2000s | 106,526 1000 SLC | 274,922 1000 SLC | 168,396 1000 SLC | Eritrea |
| 2010s | 97,616 1000 SLC | 245,750 1000 SLC | 148,133 1000 SLC | Eritrea |
| 2020s | 98,328 1000 SLC | 243,136 1000 SLC | 144,808 1000 SLC | Eritrea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sesame seed — gross production value, Congo or Eritrea?
- Eritrea, at 243,670 1000 SLC against 98,380 1000 SLC in Congo as of 2024.
- What is the difference in sesame seed — gross production value between Congo and Eritrea?
- 145,290 1000 SLC, with Eritrea ahead.
- How many years of comparable data are there for Congo and Eritrea?
- 32 years are reported by both, from 1993 to 2024.
- How do Congo and Eritrea rank globally for sesame seed — gross production value?
- Congo ranks 31st and Eritrea ranks 29th of 51 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sesame seed — Gross Production Value (constant 2014-2016 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.