Chile vs Pakistan: Sunflower seed — Gross per capita Production Index Number
Chile
46.75
in 2024
Pakistan
56.84
in 2024
Chile rank
55th
Pakistan rank
54th
Sunflower seed — Gross per capita Production Index Number over time
- Chile
- Pakistan
How they compare
Pakistan currently reports 56.84 against 46.75 in Chile, a difference of 10.09.
That makes Pakistan's figure about 1.2 times Chile's.
The two have swapped places 9 times across 64 shared years of data; in 1961 it was Chile ahead.
Chile ranks 55th and Pakistan ranks 54th of 66 countries.
Across the 7 decades both report, Chile averaged higher in 6 and Pakistan in 1.
Head to head by decade
| Decade | Chile | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 1,848 | 0.5944 | 1,847 | Chile |
| 1970s | 858.76 | 0.77 | 857.99 | Chile |
| 1980s | 914.22 | 25.2 | 889.02 | Chile |
| 1990s | 380.83 | 91.73 | 289.1 | Chile |
| 2000s | 136.01 | 235.19 | 99.17 | Pakistan |
| 2010s | 148.67 | 143.61 | 5.06 | Chile |
| 2020s | 66.41 | 66.2 | 0.208 | Chile |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sunflower seed — gross per capita production index number, Chile or Pakistan?
- Pakistan, at 56.84 against 46.75 in Chile as of 2024.
- What is the difference in sunflower seed — gross per capita production index number between Chile and Pakistan?
- 10.09, with Pakistan ahead.
- How many years of comparable data are there for Chile and Pakistan?
- 64 years are reported by both, from 1961 to 2024.
- How do Chile and Pakistan rank globally for sunflower seed — gross per capita production index number?
- Chile ranks 55th and Pakistan ranks 54th of 66 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sunflower seed — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.