Burundi vs Malawi: PPG, private creditors (NFL, US$), gaps filled
Burundi
-1.55 million NFL, US$
in 2006
Malawi
-1.93 million NFL, US$
in 2015
Burundi rank
66th
Malawi rank
68th
PPG, private creditors (NFL, US$), gaps filled over time
- Burundi
- Malawi
How they compare
Burundi currently reports -1.55 million NFL, US$ against -1.93 million NFL, US$ in Malawi, a difference of 381,000 NFL, US$.
The two have swapped places 12 times across 37 shared years of data; in 1970 it was Malawi ahead.
Burundi ranks 66th and Malawi ranks 68th of 119 countries.
Across the 4 decades both report, Burundi averaged higher in 3 and Malawi in 1.
Head to head by decade
| Decade | Burundi | Malawi | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 905,000 NFL, US$ | 15.02 million NFL, US$ | 14.12 million NFL, US$ | Malawi |
| 1980s | -321,100 NFL, US$ | -8.54 million NFL, US$ | 8.22 million NFL, US$ | Burundi |
| 1990s | -1.36 million NFL, US$ | -5.06 million NFL, US$ | 3.70 million NFL, US$ | Burundi |
| 2000s | -25,571 NFL, US$ | -866,571 NFL, US$ | 841,000 NFL, US$ | Burundi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ppg, private creditors (nfl, us$), gaps filled, Burundi or Malawi?
- Burundi, at -1.55 million NFL, US$ against -1.93 million NFL, US$ in Malawi as of 2006.
- What is the difference in ppg, private creditors (nfl, us$), gaps filled between Burundi and Malawi?
- 381,000 NFL, US$, with Burundi ahead.
- How many years of comparable data are there for Burundi and Malawi?
- 37 years are reported by both, from 1970 to 2006.
- How do Burundi and Malawi rank globally for ppg, private creditors (nfl, us$), gaps filled?
- Burundi ranks 66th and Malawi ranks 68th of 119 countries.
- Where does this data come from?
- Statizoid (derived), published as PPG, private creditors (NFL, US$), 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.