Chad vs Lesotho: Carbon dioxide emissions by income level, gaps filled
Chad
2.83 million tonnes
in 2024
Lesotho
2.57 million tonnes
in 2024
Chad rank
150th
Lesotho rank
152nd
Carbon dioxide emissions by income level, gaps filled over time
- Chad
- Lesotho
How they compare
Chad currently reports 2.83 million tonnes against 2.57 million tonnes in Lesotho, a difference of 259,630 tonnes.
That makes Chad's figure about 1.1 times Lesotho's.
The two have swapped places 3 times across 35 shared years of data; in 1990 it was Lesotho ahead.
Chad ranks 150th and Lesotho ranks 152nd of 215 countries.
Across the 4 decades both report, Chad averaged higher in 1 and Lesotho in 3.
Head to head by decade
| Decade | Chad | Lesotho | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 424,511 tonnes | 1.67 million tonnes | 1.25 million tonnes | Lesotho |
| 2000s | 838,071 tonnes | 2.00 million tonnes | 1.16 million tonnes | Lesotho |
| 2010s | 2.03 million tonnes | 2.29 million tonnes | 262,199 tonnes | Lesotho |
| 2020s | 2.70 million tonnes | 2.54 million tonnes | 161,614 tonnes | Chad |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher carbon dioxide emissions by income level, gaps filled, Chad or Lesotho?
- Chad, at 2.83 million tonnes against 2.57 million tonnes in Lesotho as of 2024.
- What is the difference in carbon dioxide emissions by income level, gaps filled between Chad and Lesotho?
- 259,630 tonnes, with Chad ahead.
- How many years of comparable data are there for Chad and Lesotho?
- 35 years are reported by both, from 1990 to 2024.
- How do Chad and Lesotho rank globally for carbon dioxide emissions by income level, gaps filled?
- Chad ranks 150th and Lesotho ranks 152nd of 215 countries.
- Where does this data come from?
- Statizoid (derived), published as Carbon dioxide emissions by income level, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Carbon dioxide emissions by income level with 84 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.