Malaysia vs Pakistan: Oranges — Gross per capita Production Index Number
Malaysia
33.02
in 2024
Pakistan
37.46
in 2024
Malaysia rank
104th
Pakistan rank
103rd
Oranges — Gross per capita Production Index Number over time
- Malaysia
- Pakistan
How they compare
Pakistan currently reports 37.46 against 33.02 in Malaysia, a difference of 4.44.
That makes Pakistan's figure about 1.1 times Malaysia's.
The two have swapped places 2 times across 39 shared years of data; in 1961 it was Pakistan ahead.
Malaysia ranks 104th and Pakistan ranks 103rd of 108 countries.
Across the 6 decades both report, Malaysia averaged higher in 1 and Pakistan in 5.
Head to head by decade
| Decade | Malaysia | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 231 | 1,103 | 871.63 | Pakistan |
| 1970s | 241.92 | 1,188 | 946.5 | Pakistan |
| 1980s | 131.28 | 1,835 | 1,704 | Pakistan |
| 1990s | 122.57 | 1,832 | 1,709 | Pakistan |
| 2010s | 75.39 | 87.55 | 12.16 | Pakistan |
| 2020s | 57.93 | 48.24 | 9.69 | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross per capita production index number, Malaysia or Pakistan?
- Pakistan, at 37.46 against 33.02 in Malaysia as of 2024.
- What is the difference in oranges — gross per capita production index number between Malaysia and Pakistan?
- 4.44, with Pakistan ahead.
- How many years of comparable data are there for Malaysia and Pakistan?
- 39 years are reported by both, from 1961 to 2024.
- How do Malaysia and Pakistan rank globally for oranges — gross per capita production index number?
- Malaysia ranks 104th and Pakistan ranks 103rd of 108 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — 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.