Malawi vs Thailand: Tax revenue (current LCU), gaps filled
Malawi
3.07 trillion current LCU
in 2024
Thailand
2.84 trillion current LCU
in 2024
Malawi rank
33rd
Thailand rank
34th
Tax revenue (current LCU), gaps filled over time
- Malawi
- Thailand
How they compare
Malawi currently reports 3.07 trillion current LCU against 2.84 trillion current LCU in Thailand, a difference of 231.89 billion current LCU.
That makes Malawi's figure about 1.1 times Thailand's.
The two have swapped places 1 time across 16 shared years of data; in 2009 it was Thailand ahead.
Malawi ranks 33rd and Thailand ranks 34th of 157 countries.
Thailand has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Malawi | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 126.43 billion current LCU | 1.37 trillion current LCU | 1.24 trillion current LCU | Thailand |
| 2010s | 500.47 billion current LCU | 2.21 trillion current LCU | 1.71 trillion current LCU | Thailand |
| 2020s | 1.82 trillion current LCU | 2.61 trillion current LCU | 796.76 billion current LCU | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher tax revenue (current lcu), gaps filled, Malawi or Thailand?
- Malawi, at 3.07 trillion current LCU against 2.84 trillion current LCU in Thailand as of 2024.
- What is the difference in tax revenue (current lcu), gaps filled between Malawi and Thailand?
- 231.89 billion current LCU, with Malawi ahead.
- How many years of comparable data are there for Malawi and Thailand?
- 16 years are reported by both, from 2009 to 2024.
- How do Malawi and Thailand rank globally for tax revenue (current lcu), gaps filled?
- Malawi ranks 33rd and Thailand ranks 34th of 157 countries.
- Where does this data come from?
- Statizoid (derived), published as Tax revenue (current LCU), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Tax revenue (current LCU) with 50 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.