Pakistan vs Sierra Leone: Rice — Gross Production Index Number
Pakistan
141.24
in 2024
Sierra Leone
141.39
in 2024
Pakistan rank
23rd
Sierra Leone rank
22nd
Rice — Gross Production Index Number over time
- Pakistan
- Sierra Leone
How they compare
Sierra Leone currently reports 141.39 against 141.24 in Pakistan, a difference of 0.15.
The two have swapped places 10 times across 64 shared years of data; in 1961 it was Sierra Leone ahead.
Pakistan ranks 23rd and Sierra Leone ranks 22nd of 106 countries.
Across the 7 decades both report, Pakistan averaged higher in 2 and Sierra Leone in 5.
Head to head by decade
| Decade | Pakistan | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 21.59 | 39.73 | 18.14 | Sierra Leone |
| 1970s | 38.28 | 53.49 | 15.21 | Sierra Leone |
| 1980s | 47.53 | 50.14 | 2.61 | Sierra Leone |
| 1990s | 57.37 | 41.8 | 15.57 | Pakistan |
| 2000s | 77.59 | 59.63 | 17.96 | Pakistan |
| 2010s | 96.18 | 104.38 | 8.2 | Sierra Leone |
| 2020s | 129.71 | 145.01 | 15.3 | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher rice — gross production index number, Pakistan or Sierra Leone?
- Sierra Leone, at 141.39 against 141.24 in Pakistan as of 2024.
- What is the difference in rice — gross production index number between Pakistan and Sierra Leone?
- 0.15, with Sierra Leone ahead.
- How many years of comparable data are there for Pakistan and Sierra Leone?
- 64 years are reported by both, from 1961 to 2024.
- How do Pakistan and Sierra Leone rank globally for rice — gross production index number?
- Pakistan ranks 23rd and Sierra Leone ranks 22nd of 106 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Rice — Gross 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.