Bangladesh vs Heavily indebted poor countries (HIPC): Net bilateral aid flows from DAC donors, United States (current US$)

Bangladesh
449.81 million current US$
in 2023
Heavily indebted poor countries (HIPC)
9.41 billion current US$
in 2022
Bangladesh rank
19th
Heavily indebted poor countries (HIPC) rank
18th

Net bilateral aid flows from DAC donors, United States (current US$) over time

  • Bangladesh
  • Heavily indebted poor countries (HIPC)
02.5B5.0B7.5B10.0B197019962023

How they compare

Heavily indebted poor countries (HIPC) currently reports 9.41 billion current US$ against 449.81 million current US$ in Bangladesh, a difference of 8.96 billion current US$.

That makes Heavily indebted poor countries (HIPC)'s figure about 20.9 times Bangladesh's.

The two have swapped places 2 times across 51 shared years of data; in 1972 it was Heavily indebted poor countries (HIPC) ahead.

Bangladesh ranks 19th and Heavily indebted poor countries (HIPC) ranks 18th of 164 countries.

Heavily indebted poor countries (HIPC) has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Bangladesh Heavily indebted poor countries (HIPC) Difference Ahead
1970s 146.75 million current US$ 284.12 million current US$ 137.38 million current US$ Heavily indebted poor countries (HIPC)
1980s 159.80 million current US$ 885.90 million current US$ 726.10 million current US$ Heavily indebted poor countries (HIPC)
1990s 91.87 million current US$ 1.27 billion current US$ 1.18 billion current US$ Heavily indebted poor countries (HIPC)
2000s 63.83 million current US$ 4.34 billion current US$ 4.28 billion current US$ Heavily indebted poor countries (HIPC)
2010s 226.01 million current US$ 8.41 billion current US$ 8.18 billion current US$ Heavily indebted poor countries (HIPC)
2020s 376.34 million current US$ 9.44 billion current US$ 9.06 billion current US$ Heavily indebted poor countries (HIPC)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher net bilateral aid flows from dac donors, united states (current us$), Bangladesh or Heavily indebted poor countries (HIPC)?
Heavily indebted poor countries (HIPC), at 9.41 billion current US$ against 449.81 million current US$ in Bangladesh as of 2022.
What is the difference in net bilateral aid flows from dac donors, united states (current us$) between Bangladesh and Heavily indebted poor countries (HIPC)?
8.96 billion current US$, with Heavily indebted poor countries (HIPC) ahead.
How many years of comparable data are there for Bangladesh and Heavily indebted poor countries (HIPC)?
51 years are reported by both, from 1972 to 2022.
How do Bangladesh and Heavily indebted poor countries (HIPC) rank globally for net bilateral aid flows from dac donors, united states (current us$)?
Bangladesh ranks 19th and Heavily indebted poor countries (HIPC) ranks 18th of 164 countries.
Where does this data come from?
Statizoid (derived), published as Net bilateral aid flows from DAC donors, United States (current US$), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Bangladesh vs Heavily indebted poor countries (HIPC): Net bilateral aid flows from DAC donors, United States (current US$). Statizoid, drawing on Statizoid (derived). Retrieved 10 September 2026, from https://aid.statizoid.com/compare/net-bilateral-aid-flows-from-dac-donors-united-states-current-us-gaps-filled/bangladesh/heavily-indebted-poor-countries-hipc/

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About this data

Indicator
Net bilateral aid flows from DAC donors, United States (current US$), gaps filled
Unit
current US$
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
211 places, 9,809 data points, 1960–2023
Last refreshed

Net bilateral aid flows from DAC donors, United States (current US$) with 200 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.