Net bilateral aid flows from DAC donors, Germany (current US$), gaps in Heavily indebted poor countries (HIPC)
Heavily indebted poor countries (HIPC): Net bilateral aid flows from DAC donors, Germany (current US$), gaps was 2.57 billion current US$ in 2022. ◆ Volatile
Net bilateral aid flows from DAC donors, Germany (current US$), gaps in Heavily indebted poor countries (HIPC), 1970–2022
Source: Statizoid (derived). Measured in current US$.
Analysis
Heavily indebted poor countries (HIPC) recorded 2.57 billion current US$ for net bilateral aid flows from dac donors, germany (current us$), gaps in 2022.
That represents a change of down 21.6% on the previous year and up 14.5% over ten years.
Over the whole period, net bilateral aid flows from dac donors, germany (current us$), gaps in Heavily indebted poor countries (HIPC) peaked at 3.28 billion current US$ in 2021 and was at its lowest, 69.28 million current US$, in 1970.
Heavily indebted poor countries (HIPC) ranks 21st of 45 groups on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Net bilateral aid flows from DAC donors, Germany (current US$), gaps in Heavily indebted poor countries (HIPC), year by year
| Year | current US$ | Change |
|---|---|---|
| 1970 | 69.28 million current US$ | — |
| 1971 | 80.15 million current US$ | +15.7% |
| 1972 | 82.85 million current US$ | +3.4% |
| 1973 | 128.47 million current US$ | +55.1% |
| 1974 | 170.75 million current US$ | +32.9% |
| 1975 | 287.03 million current US$ | +68.1% |
| 1976 | 223.87 million current US$ | -22.0% |
| 1977 | 260.31 million current US$ | +16.3% |
| 1978 | 435.67 million current US$ | +67.4% |
| 1979 | 603.08 million current US$ | +38.4% |
| 1980 | 592.07 million current US$ | -1.8% |
| 1981 | 576.87 million current US$ | -2.6% |
| 1982 | 588.10 million current US$ | +1.9% |
| 1983 | 532.02 million current US$ | -9.5% |
| 1984 | 476.21 million current US$ | -10.5% |
| 1985 | 498.24 million current US$ | +4.6% |
| 1986 | 665.56 million current US$ | +33.6% |
| 1987 | 807.89 million current US$ | +21.4% |
| 1988 | 847.31 million current US$ | +4.9% |
| 1989 | 968.87 million current US$ | +14.3% |
| 1990 | 1.20 billion current US$ | +23.8% |
| 1991 | 1.29 billion current US$ | +7.9% |
| 1992 | 1.22 billion current US$ | -6.1% |
| 1993 | 1.23 billion current US$ | +1.4% |
| 1994 | 1.14 billion current US$ | -7.9% |
| 1995 | 1.31 billion current US$ | +15.2% |
| 1996 | 1.53 billion current US$ | +17.0% |
| 1997 | 865.61 million current US$ | -43.4% |
| 1998 | 957.72 million current US$ | +10.6% |
| 1999 | 851.55 million current US$ | -11.1% |
| 2000 | 706.76 million current US$ | -17.0% |
| 2001 | 645.41 million current US$ | -8.7% |
| 2002 | 924.11 million current US$ | +43.2% |
| 2003 | 2.00 billion current US$ | +116.1% |
| 2004 | 1.45 billion current US$ | -27.3% |
| 2005 | 1.24 billion current US$ | -14.8% |
| 2006 | 1.43 billion current US$ | +15.9% |
| 2007 | 1.95 billion current US$ | +36.2% |
| 2008 | 1.77 billion current US$ | -9.3% |
| 2009 | 1.62 billion current US$ | -8.5% |
| 2010 | 1.81 billion current US$ | +11.5% |
| 2011 | 2.03 billion current US$ | +12.4% |
| 2012 | 2.24 billion current US$ | +10.6% |
| 2013 | 1.70 billion current US$ | -24.4% |
| 2014 | 1.69 billion current US$ | -0.6% |
| 2015 | 1.44 billion current US$ | -14.7% |
| 2016 | 1.82 billion current US$ | +26.3% |
| 2017 | 2.04 billion current US$ | +12.4% |
| 2018 | 2.29 billion current US$ | +12.4% |
| 2019 | 2.35 billion current US$ | +2.4% |
| 2020 | 3.06 billion current US$ | +30.1% |
| 2021 | 3.28 billion current US$ | +7.2% |
| 2022 | 2.57 billion current US$ | -21.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 234.15 million current US$ | 69.28 million current US$ | 603.08 million current US$ | 10 |
| 1980s | 655.31 million current US$ | 476.21 million current US$ | 968.87 million current US$ | 10 |
| 1990s | 1.16 billion current US$ | 851.55 million current US$ | 1.53 billion current US$ | 10 |
| 2000s | 1.37 billion current US$ | 645.41 million current US$ | 2.00 billion current US$ | 10 |
| 2010s | 1.94 billion current US$ | 1.44 billion current US$ | 2.35 billion current US$ | 10 |
| 2020s | 2.97 billion current US$ | 2.57 billion current US$ | 3.28 billion current US$ | 3 |
Countries ranked near Heavily indebted poor countries (HIPC)
- 18 Somalia 140.72 million current US$ compare
- 19 Senegal 140.26 million current US$ compare
- 20 Ghana 138.14 million current US$ compare
- 21 Namibia 134.19 million current US$ compare
- 22 Iran, Islamic Republic of 126.91 million current US$ compare
- 23 Côte d'Ivoire 119.96 million current US$ compare
- 24 Nigeria 118.46 million current US$ compare
More aid effectiveness data for Heavily indebted poor countries (HIPC)
- Net bilateral aid flows from DAC donors, Austria 61.63 million current US$ (2022)
- Net bilateral aid flows from DAC donors, Belgium 413.84 million current US$ (2022)
- Net bilateral aid flows from DAC donors, Canada 1.20 billion current US$ (2022)
- Net bilateral aid flows from DAC donors, European Union institutions 3.27 billion current US$ (2022)
- Net bilateral aid flows from DAC donors, Switzerland 534.00 million current US$ (2022)
- Net bilateral aid flows from DAC donors, Germany 2.57 billion current US$ (2022)
- Net bilateral aid flows from DAC donors, France 2.55 billion current US$ (2022)
- Net bilateral aid flows from DAC donors, United Kingdom 1.14 billion current US$ (2022)
- Net bilateral aid flows from DAC donors, Italy 362.50 million current US$ (2022)
- Net bilateral aid flows from DAC donors, Japan 1.27 billion current US$ (2022)
Frequently asked questions
- What is net bilateral aid flows from dac donors, germany (current us$), gaps in Heavily indebted poor countries (HIPC)?
- Net bilateral aid flows from dac donors, germany (current us$), gaps in Heavily indebted poor countries (HIPC) was 2.57 billion current US$ in 2022, according to Statizoid (derived).
- What is the highest net bilateral aid flows from dac donors, germany (current us$), gaps recorded in Heavily indebted poor countries (HIPC)?
- The highest recorded value was 3.28 billion current US$ in 2021.
- What is the lowest net bilateral aid flows from dac donors, germany (current us$), gaps recorded in Heavily indebted poor countries (HIPC)?
- The lowest recorded value was 69.28 million current US$ in 1970.
- How does Heavily indebted poor countries (HIPC) rank for net bilateral aid flows from dac donors, germany (current us$), gaps?
- Heavily indebted poor countries (HIPC) ranks 21st out of 45 groups with data for 2022.
- Is net bilateral aid flows from dac donors, germany (current us$), gaps rising or falling in Heavily indebted poor countries (HIPC)?
- Over the last ten years it is up 14.5%. The long-run trend across the full record is volatile.
- Where does this Heavily indebted poor countries (HIPC) data come from?
- The figures come from Statizoid (derived), published as part of Net bilateral aid flows from DAC donors, Germany (current US$), gaps filled. Statizoid updates them automatically from the source API.
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How this figure is calculated
Net bilateral aid flows from DAC donors, Germany (current US$) with 152 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.
Computed from
- Net bilateral aid flows from DAC donors, Germany Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Net bilateral aid flows from DAC donors, Germany (current US$) with 152 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.