Chad vs Myanmar: Cereals, primary — Gross Production Index Number
Chad
103.53
in 2024
Myanmar
104.08
in 2024
Chad rank
85th
Myanmar rank
84th
Cereals, primary — Gross Production Index Number over time
- Chad
- Myanmar
How they compare
Myanmar currently reports 104.08 against 103.53 in Chad, a difference of 0.55.
The two have swapped places 15 times across 56 shared years of data; in 1961 it was Chad ahead.
Chad ranks 85th and Myanmar ranks 84th of 166 countries.
Myanmar has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Chad | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 26.99 | 28 | 1.01 | Myanmar |
| 1970s | 21.57 | 32.67 | 11.1 | Myanmar |
| 1980s | 20.35 | 51.33 | 30.97 | Myanmar |
| 1990s | 35 | 62.57 | 27.57 | Myanmar |
| 2000s | 58.2 | 99.08 | 40.88 | Myanmar |
| 2010s | 101.77 | 103.4 | 1.63 | Myanmar |
| 2020s | 101.8 | 102.07 | 0.262 | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals, primary — gross production index number, Chad or Myanmar?
- Myanmar, at 104.08 against 103.53 in Chad as of 2024.
- What is the difference in cereals, primary — gross production index number between Chad and Myanmar?
- 0.55, with Myanmar ahead.
- How many years of comparable data are there for Chad and Myanmar?
- 56 years are reported by both, from 1961 to 2024.
- How do Chad and Myanmar rank globally for cereals, primary — gross production index number?
- Chad ranks 85th and Myanmar ranks 84th of 166 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals, primary — 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.