Burundi vs South Asia: Net bilateral aid flows from DAC donors, New Zealand (current US$)
Net bilateral aid flows from DAC donors, New Zealand (current US$) over time
- Burundi
- South Asia
How they compare
South Asia currently reports 14.41 million current US$ against 1.25 million current US$ in Burundi, a difference of 13.16 million current US$.
That makes South Asia's figure about 11.5 times Burundi's.
Across all 12 years both countries report, South Asia has been ahead every year.
Burundi ranks 26th and South Asia ranks 25th of 114 countries.
South Asia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Burundi | South Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 110,000 current US$ | 2.18 million current US$ | 2.07 million current US$ | South Asia |
| 2000s | 265,000 current US$ | 4.41 million current US$ | 4.15 million current US$ | South Asia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher net bilateral aid flows from dac donors, new zealand (current us$), Burundi or South Asia?
- South Asia, at 14.41 million current US$ against 1.25 million current US$ in Burundi as of 2023.
- What is the difference in net bilateral aid flows from dac donors, new zealand (current us$) between Burundi and South Asia?
- 13.16 million current US$, with South Asia ahead.
- How many years of comparable data are there for Burundi and South Asia?
- 12 years are reported by both, from 1994 to 2005.
- How do Burundi and South Asia rank globally for net bilateral aid flows from dac donors, new zealand (current us$)?
- Burundi ranks 26th and South Asia ranks 25th of 114 countries.
- Where does this data come from?
- Statizoid (derived), published as Net bilateral aid flows from DAC donors, New Zealand (current US$), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
Net bilateral aid flows from DAC donors, New Zealand (current US$) with 290 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.