Congo vs Serbia and Montenegro: Sugar Crops Primary — Gross Production Value
Sugar Crops Primary — Gross Production Value over time
- Congo
- Serbia and Montenegro
How they compare
Congo currently reports 99,467 1000 USD against 88,719 1000 USD in Serbia and Montenegro, a difference of 10,748 1000 USD.
That makes Congo's figure about 1.1 times Serbia and Montenegro's.
The two have swapped places 6 times across 12 shared years of data; in 1994 it was Serbia and Montenegro ahead.
Congo ranks 45th and Serbia and Montenegro ranks 48th of 105 countries.
Serbia and Montenegro has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Congo | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 40,562 1000 USD | 84,941 1000 USD | 44,379 1000 USD | Serbia and Montenegro |
| 2000s | 58,936 1000 USD | 60,848 1000 USD | 1,912 1000 USD | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar crops primary — gross production value, Congo or Serbia and Montenegro?
- Congo, at 99,467 1000 USD against 88,719 1000 USD in Serbia and Montenegro as of 2024.
- What is the difference in sugar crops primary — gross production value between Congo and Serbia and Montenegro?
- 10,748 1000 USD, with Congo ahead.
- How many years of comparable data are there for Congo and Serbia and Montenegro?
- 12 years are reported by both, from 1994 to 2005.
- How do Congo and Serbia and Montenegro rank globally for sugar crops primary — gross production value?
- Congo ranks 45th and Serbia and Montenegro ranks 48th of 105 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar Crops Primary — 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.