Congo vs Sri Lanka: Crops — Gross Production Value
Congo
4.95 million 1000 USD
in 2024
Sri Lanka
6.10 million 1000 USD
in 2024
Congo rank
61st
Sri Lanka rank
58th
Crops — Gross Production Value over time
- Congo
- Sri Lanka
How they compare
Sri Lanka currently reports 6.10 million 1000 USD against 4.95 million 1000 USD in Congo, a difference of 1.15 million 1000 USD.
That makes Sri Lanka's figure about 1.2 times Congo's.
Across all 34 years both countries report, Sri Lanka has been ahead every year.
Congo ranks 61st and Sri Lanka ranks 58th of 178 countries.
Sri Lanka has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 768,185 1000 USD | 2.65 million 1000 USD | 1.88 million 1000 USD | Sri Lanka |
| 2000s | 748,407 1000 USD | 2.15 million 1000 USD | 1.40 million 1000 USD | Sri Lanka |
| 2010s | 2.73 million 1000 USD | 4.61 million 1000 USD | 1.87 million 1000 USD | Sri Lanka |
| 2020s | 4.02 million 1000 USD | 5.36 million 1000 USD | 1.34 million 1000 USD | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher crops — gross production value, Congo or Sri Lanka?
- Sri Lanka, at 6.10 million 1000 USD against 4.95 million 1000 USD in Congo as of 2024.
- What is the difference in crops — gross production value between Congo and Sri Lanka?
- 1.15 million 1000 USD, with Sri Lanka ahead.
- How many years of comparable data are there for Congo and Sri Lanka?
- 34 years are reported by both, from 1991 to 2024.
- How do Congo and Sri Lanka rank globally for crops — gross production value?
- Congo ranks 61st and Sri Lanka ranks 58th of 178 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Crops — Gross Production Value (current thousand US$). 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.