Bangladesh vs Chad: Livestock — Gross Production Index Number (2014-2016 = 100)
Bangladesh
182.05
in 2024
Chad
161.37
in 2024
Bangladesh rank
7th
Chad rank
10th
Livestock — Gross Production Index Number (2014-2016 = 100) over time
- Bangladesh
- Chad
How they compare
Bangladesh currently reports 182.05 against 161.37 in Chad, a difference of 20.68.
That makes Bangladesh's figure about 1.1 times Chad's.
The two have swapped places 2 times across 56 shared years of data; in 1961 it was Bangladesh ahead.
Bangladesh ranks 7th and Chad ranks 10th of 184 countries.
Across the 7 decades both report, Bangladesh averaged higher in 5 and Chad in 2.
Head to head by decade
| Decade | Bangladesh | Chad | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 21 | 9.54 | 11.46 | Bangladesh |
| 1970s | 26.12 | 10.94 | 15.18 | Bangladesh |
| 1980s | 26.67 | 19.43 | 7.25 | Bangladesh |
| 1990s | 38.96 | 33.25 | 5.71 | Bangladesh |
| 2000s | 52.55 | 56.3 | 3.75 | Chad |
| 2010s | 96.21 | 98 | 1.79 | Chad |
| 2020s | 163.61 | 144.51 | 19.1 | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher livestock — gross production index number, Bangladesh or Chad?
- Bangladesh, at 182.05 against 161.37 in Chad as of 2024.
- What is the difference in livestock — gross production index number between Bangladesh and Chad?
- 20.68, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Chad?
- 56 years are reported by both, from 1961 to 2024.
- How do Bangladesh and Chad rank globally for livestock — gross production index number?
- Bangladesh ranks 7th and Chad ranks 10th of 184 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Livestock — 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.