Myanmar vs Pakistan: Sugar cane — Gross per capita Production Index Number
Myanmar
106.39
in 2024
Pakistan
107.28
in 2024
Myanmar rank
14th
Pakistan rank
13th
Sugar cane — Gross per capita Production Index Number over time
- Myanmar
- Pakistan
How they compare
Pakistan currently reports 107.28 against 106.39 in Myanmar, a difference of 0.89.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Pakistan ahead.
Myanmar ranks 14th and Pakistan ranks 13th of 87 countries.
Across the 7 decades both report, Myanmar averaged higher in 1 and Pakistan in 6.
Head to head by decade
| Decade | Myanmar | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 24.68 | 110.67 | 85.99 | Pakistan |
| 1970s | 26.17 | 114.83 | 88.65 | Pakistan |
| 1980s | 40.59 | 111.49 | 70.9 | Pakistan |
| 1990s | 39.64 | 104.32 | 64.69 | Pakistan |
| 2000s | 78.91 | 92.88 | 13.97 | Pakistan |
| 2010s | 98.55 | 96.47 | 2.09 | Myanmar |
| 2020s | 102.12 | 112.98 | 10.86 | Pakistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross per capita production index number, Myanmar or Pakistan?
- Pakistan, at 107.28 against 106.39 in Myanmar as of 2024.
- What is the difference in sugar cane — gross per capita production index number between Myanmar and Pakistan?
- 0.89, with Pakistan ahead.
- How many years of comparable data are there for Myanmar and Pakistan?
- 64 years are reported by both, from 1961 to 2024.
- How do Myanmar and Pakistan rank globally for sugar cane — gross per capita production index number?
- Myanmar ranks 14th and Pakistan ranks 13th of 87 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane — 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.