Congo vs Malaysia: Non Food — Gross Production Value
Congo
878,273 1000 SLC
in 2024
Malaysia
841,195 1000 SLC
in 2024
Congo rank
53rd
Malaysia rank
55th
Non Food — Gross Production Value over time
- Congo
- Malaysia
How they compare
Congo currently reports 878,273 1000 SLC against 841,195 1000 SLC in Malaysia, a difference of 37,078 1000 SLC.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Malaysia ahead.
Congo ranks 53rd and Malaysia ranks 55th of 120 countries.
Malaysia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 237,801 1000 SLC | 2.23 million 1000 SLC | 2.00 million 1000 SLC | Malaysia |
| 2000s | 453,909 1000 SLC | 4.31 million 1000 SLC | 3.85 million 1000 SLC | Malaysia |
| 2010s | 781,995 1000 SLC | 6.00 million 1000 SLC | 5.22 million 1000 SLC | Malaysia |
| 2020s | 864,643 1000 SLC | 1.04 million 1000 SLC | 170,434 1000 SLC | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production value, Congo or Malaysia?
- Congo, at 878,273 1000 SLC against 841,195 1000 SLC in Malaysia as of 2024.
- What is the difference in non food — gross production value between Congo and Malaysia?
- 37,078 1000 SLC, with Congo ahead.
- How many years of comparable data are there for Congo and Malaysia?
- 34 years are reported by both, from 1991 to 2024.
- How do Congo and Malaysia rank globally for non food — gross production value?
- Congo ranks 53rd and Malaysia ranks 55th of 120 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Non Food — 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.