Argentina vs Morocco: Soya beans — Producer Price
Soya beans — Producer Price over time
- Argentina
- Morocco
How they compare
Morocco currently reports 3,200 SLC against 2,484 SLC in Argentina, a difference of 716 SLC.
That makes Morocco's figure about 1.3 times Argentina's.
Across all 8 years both countries report, Morocco has been ahead every year.
Argentina ranks 40th and Morocco ranks 38th of 58 countries.
Morocco has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher soya beans — producer price, Argentina or Morocco?
- Morocco, at 3,200 SLC against 2,484 SLC in Argentina as of 1998.
- What is the difference in soya beans — producer price between Argentina and Morocco?
- 716 SLC, with Morocco ahead.
- How many years of comparable data are there for Argentina and Morocco?
- 8 years are reported by both, from 1991 to 1998.
- How do Argentina and Morocco rank globally for soya beans — producer price?
- Argentina ranks 40th and Morocco ranks 38th of 58 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — 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.