Bhutan vs Botswana: PPG, private creditors (NFL, US$), gaps filled
Bhutan
-4.25 million NFL, US$
in 2024
Botswana
-4.44 million NFL, US$
in 2019
Bhutan rank
75th
Botswana rank
76th
PPG, private creditors (NFL, US$), gaps filled over time
- Bhutan
- Botswana
How they compare
Bhutan currently reports -4.25 million NFL, US$ against -4.44 million NFL, US$ in Botswana, a difference of 190,000 NFL, US$.
The two have swapped places 4 times across 22 shared years of data; in 1988 it was Bhutan ahead.
Bhutan ranks 75th and Botswana ranks 76th of 119 countries.
Across the 4 decades both report, Bhutan averaged higher in 3 and Botswana in 1.
Head to head by decade
| Decade | Bhutan | Botswana | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 10.55 million NFL, US$ | -2.20 million NFL, US$ | 12.75 million NFL, US$ | Bhutan |
| 1990s | -2.34 million NFL, US$ | -2.29 million NFL, US$ | 50,111 NFL, US$ | Botswana |
| 2000s | 4.91 million NFL, US$ | -500,000 NFL, US$ | 5.41 million NFL, US$ | Bhutan |
| 2010s | 2.79 million NFL, US$ | 1.81 million NFL, US$ | 983,100 NFL, US$ | Bhutan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ppg, private creditors (nfl, us$), gaps filled, Bhutan or Botswana?
- Bhutan, at -4.25 million NFL, US$ against -4.44 million NFL, US$ in Botswana as of 2024.
- What is the difference in ppg, private creditors (nfl, us$), gaps filled between Bhutan and Botswana?
- 190,000 NFL, US$, with Bhutan ahead.
- How many years of comparable data are there for Bhutan and Botswana?
- 22 years are reported by both, from 1988 to 2019.
- How do Bhutan and Botswana rank globally for ppg, private creditors (nfl, us$), gaps filled?
- Bhutan ranks 75th and Botswana ranks 76th of 119 countries.
- Where does this data come from?
- Statizoid (derived), published as PPG, private creditors (NFL, US$), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
PPG, private creditors (NFL, US$) with 100 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.