Latvia vs Zimbabwe: Cereals, primary — Gross Production Value
Latvia
606,837 1000 SLC
in 2024
Zimbabwe
682,100 1000 SLC
in 2018
Latvia rank
110th
Zimbabwe rank
107th
Cereals, primary — Gross Production Value over time
- Latvia
- Zimbabwe
How they compare
Zimbabwe currently reports 682,100 1000 SLC against 606,837 1000 SLC in Latvia, a difference of 75,263 1000 SLC.
That makes Zimbabwe's figure about 1.1 times Latvia's.
The two have swapped places 5 times across 22 shared years of data; in 1992 it was Latvia ahead.
Latvia ranks 110th and Zimbabwe ranks 107th of 152 countries.
Across the 3 decades both report, Latvia averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Latvia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 85,979 1000 SLC | 9,048 1000 SLC | 76,931 1000 SLC | Latvia |
| 2000s | 113,540 1000 SLC | 150.17 million 1000 SLC | 150.06 million 1000 SLC | Zimbabwe |
| 2010s | 363,751 1000 SLC | 430,236 1000 SLC | 66,485 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals, primary — gross production value, Latvia or Zimbabwe?
- Zimbabwe, at 682,100 1000 SLC against 606,837 1000 SLC in Latvia as of 2018.
- What is the difference in cereals, primary — gross production value between Latvia and Zimbabwe?
- 75,263 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Latvia and Zimbabwe?
- 22 years are reported by both, from 1992 to 2018.
- How do Latvia and Zimbabwe rank globally for cereals, primary — gross production value?
- Latvia ranks 110th and Zimbabwe ranks 107th of 152 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals, primary — 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.