Argentina vs Canada: Net food imports by crop - Rice, paddy, gaps filled
Argentina
-2.52 million
in 2019
Canada
-2.18 million
in 2019
Argentina rank
164th
Canada rank
162nd
Net food imports by crop - Rice, paddy, gaps filled over time
- Argentina
- Canada
How they compare
Canada currently reports -2.18 million against -2.52 million in Argentina, a difference of 334,230.
The two have swapped places 1 time across 59 shared years of data; in 1961 it was Argentina ahead.
Argentina ranks 164th and Canada ranks 162nd of 168 countries.
Across the 6 decades both report, Argentina averaged higher in 5 and Canada in 1.
Head to head by decade
| Decade | Argentina | Canada | Difference | Ahead |
|---|---|---|---|---|
| 1960s | -195,246 | -756,472 | 561,226 | Argentina |
| 1970s | -71,973 | -3.52 million | 3.44 million | Argentina |
| 1980s | -35,302 | -4.32 million | 4.28 million | Argentina |
| 1990s | -101,365 | -2.77 million | 2.67 million | Argentina |
| 2000s | -382,253 | -1.63 million | 1.25 million | Argentina |
| 2010s | -2.47 million | -1.57 million | 899,680 | Canada |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher net food imports by crop - rice, paddy, gaps filled, Argentina or Canada?
- Canada, at -2.18 million against -2.52 million in Argentina as of 2019.
- What is the difference in net food imports by crop - rice, paddy, gaps filled between Argentina and Canada?
- 334,230, with Canada ahead.
- How many years of comparable data are there for Argentina and Canada?
- 59 years are reported by both, from 1961 to 2019.
- How do Argentina and Canada rank globally for net food imports by crop - rice, paddy, gaps filled?
- Argentina ranks 164th and Canada ranks 162nd of 168 countries.
- Where does this data come from?
- Statizoid (derived), published as Net food imports by crop - Rice, paddy, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Net food imports by crop - Rice, paddy with 90 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.