Malawi vs Viet Nam: Millet — Producer Price
Millet — Producer Price over time
- Malawi
- Viet Nam
How they compare
Viet Nam currently reports 63.38 million SLC against 660,417 SLC in Malawi, a difference of 62.72 million SLC.
That makes Viet Nam's figure about 96.0 times Malawi's.
Across all 8 years both countries report, Viet Nam has been ahead every year.
Malawi ranks 3rd and Viet Nam ranks 2nd of 44 countries.
Viet Nam has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher millet — producer price, Malawi or Viet Nam?
- Viet Nam, at 63.38 million SLC against 660,417 SLC in Malawi as of 2024.
- What is the difference in millet — producer price between Malawi and Viet Nam?
- 62.72 million SLC, with Viet Nam ahead.
- How many years of comparable data are there for Malawi and Viet Nam?
- 8 years are reported by both, from 2010 to 2017.
- How do Malawi and Viet Nam rank globally for millet — producer price?
- Malawi ranks 3rd and Viet Nam ranks 2nd of 44 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — Producer Price (SLC/tonne). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This sub-domain contains data on agriculture producer prices and the producer price index. Agriculture producer prices are prices received by farmers for primary crops, live animals and livestock primary products as collected at the point of initial sale (prices paid at the farm gate). Annual data are provided from 1991 (while mothly data start in January 2010) for 180 countries and 212 products. The producer price index is the index of agricultural producer prices that measures the average annual change over time in the selling prices received by farmers (prices at the farm gate or at the first point of sale). The three categories of producer price index available in FAOSTAT comprise: single-item price index, commodity group index and the agriculture producer price index.