Net official flows from UN agencies, UNDP (current US$), gaps filled in Heavily indebted poor countries (HIPC)
Heavily indebted poor countries (HIPC): Net official flows from UN agencies, UNDP (current US$), gaps filled was 250.30 million current US$ in 2022. ▲ Rising
Net official flows from UN agencies, UNDP (current US$), gaps filled in Heavily indebted poor countries (HIPC), 1970–2022
Source: Statizoid (derived). Measured in current US$.
Analysis
In 2022, net official flows from un agencies, undp (current us$), gaps filled in Heavily indebted poor countries (HIPC) stood at 250.30 million current US$.
That represents a change of up 3.3% on the previous year and up 23.0% over ten years.
Over the whole period, net official flows from un agencies, undp (current us$), gaps filled in Heavily indebted poor countries (HIPC) peaked at 329.87 million current US$ in 1991 and was at its lowest, 56.75 million current US$, in 1970.
That places Heavily indebted poor countries (HIPC) 6th out of 44 groups with data for 2022, putting it in the top quarter.
The long-run direction has been consistently rising across the 53 years of available data.
Net official flows from UN agencies, UNDP (current US$), gaps filled in Heavily indebted poor countries (HIPC), year by year
| Year | current US$ | Change |
|---|---|---|
| 1970 | 56.75 million current US$ | — |
| 1971 | 65.51 million current US$ | +15.4% |
| 1972 | 67.35 million current US$ | +2.8% |
| 1973 | 73.33 million current US$ | +8.9% |
| 1974 | 72.00 million current US$ | -1.8% |
| 1975 | 105.37 million current US$ | +46.3% |
| 1976 | 100.99 million current US$ | -4.2% |
| 1977 | 91.06 million current US$ | -9.8% |
| 1978 | 109.90 million current US$ | +20.7% |
| 1979 | 137.02 million current US$ | +24.7% |
| 1980 | 178.11 million current US$ | +30.0% |
| 1981 | 259.41 million current US$ | +45.6% |
| 1982 | 224.17 million current US$ | -13.6% |
| 1983 | 182.06 million current US$ | -18.8% |
| 1984 | 179.84 million current US$ | -1.2% |
| 1985 | 210.52 million current US$ | +17.1% |
| 1986 | 240.25 million current US$ | +14.1% |
| 1987 | 251.34 million current US$ | +4.6% |
| 1988 | 299.13 million current US$ | +19.0% |
| 1989 | 325.58 million current US$ | +8.8% |
| 1990 | 279.55 million current US$ | -14.1% |
| 1991 | 329.87 million current US$ | +18.0% |
| 1992 | 278.97 million current US$ | -15.4% |
| 1993 | 239.78 million current US$ | -14.0% |
| 1994 | 188.29 million current US$ | -21.5% |
| 1995 | 180.69 million current US$ | -4.0% |
| 1996 | 226.45 million current US$ | +25.3% |
| 1997 | 266.22 million current US$ | +17.6% |
| 1998 | 235.81 million current US$ | -11.4% |
| 1999 | 204.08 million current US$ | -13.5% |
| 2000 | 137.21 million current US$ | -32.8% |
| 2001 | 115.38 million current US$ | -15.9% |
| 2002 | 123.52 million current US$ | +7.1% |
| 2003 | 141.17 million current US$ | +14.3% |
| 2004 | 179.35 million current US$ | +27.0% |
| 2005 | 184.88 million current US$ | +3.1% |
| 2006 | 211.61 million current US$ | +14.5% |
| 2007 | 203.67 million current US$ | -3.8% |
| 2008 | 268.21 million current US$ | +31.7% |
| 2009 | 277.22 million current US$ | +3.4% |
| 2010 | 254.71 million current US$ | -8.1% |
| 2011 | 204.65 million current US$ | -19.7% |
| 2012 | 203.47 million current US$ | -0.6% |
| 2013 | 198.09 million current US$ | -2.6% |
| 2014 | 217.08 million current US$ | +9.6% |
| 2015 | 196.07 million current US$ | -9.7% |
| 2016 | 190.91 million current US$ | -2.6% |
| 2017 | 180.05 million current US$ | -5.7% |
| 2018 | 181.71 million current US$ | +0.9% |
| 2019 | 225.87 million current US$ | +24.3% |
| 2020 | 264.02 million current US$ | +16.9% |
| 2021 | 242.36 million current US$ | -8.2% |
| 2022 | 250.30 million current US$ | +3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 87.93 million current US$ | 56.75 million current US$ | 137.02 million current US$ | 10 |
| 1980s | 235.04 million current US$ | 178.11 million current US$ | 325.58 million current US$ | 10 |
| 1990s | 242.97 million current US$ | 180.69 million current US$ | 329.87 million current US$ | 10 |
| 2000s | 184.22 million current US$ | 115.38 million current US$ | 277.22 million current US$ | 10 |
| 2010s | 205.26 million current US$ | 180.05 million current US$ | 254.71 million current US$ | 10 |
| 2020s | 252.23 million current US$ | 242.36 million current US$ | 264.02 million current US$ | 3 |
Countries ranked near Heavily indebted poor countries (HIPC)
- 3 Somalia 13.64 million current US$ compare
- 4 Malawi 13.38 million current US$ compare
- 5 South Sudan 13.11 million current US$ compare
- 6 Democratic Republic of Congo 12.17 million current US$ compare
- 7 Burundi 11.86 million current US$ compare
- 8 Mozambique 11.39 million current US$ compare
- 9 Mali 9.67 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 official flows from un agencies, undp (current us$), gaps filled in Heavily indebted poor countries (HIPC)?
- Net official flows from un agencies, undp (current us$), gaps filled in Heavily indebted poor countries (HIPC) was 250.30 million current US$ in 2022, according to Statizoid (derived).
- What is the highest net official flows from un agencies, undp (current us$), gaps filled recorded in Heavily indebted poor countries (HIPC)?
- The highest recorded value was 329.87 million current US$ in 1991.
- What is the lowest net official flows from un agencies, undp (current us$), gaps filled recorded in Heavily indebted poor countries (HIPC)?
- The lowest recorded value was 56.75 million current US$ in 1970.
- How does Heavily indebted poor countries (HIPC) rank for net official flows from un agencies, undp (current us$), gaps filled?
- Heavily indebted poor countries (HIPC) ranks 6th out of 44 groups with data for 2022.
- Is net official flows from un agencies, undp (current us$), gaps filled rising or falling in Heavily indebted poor countries (HIPC)?
- Over the last ten years it is up 23.0%. The long-run trend across the full record is rising.
- Where does this Heavily indebted poor countries (HIPC) data come from?
- The figures come from Statizoid (derived), published as part of Net official flows from UN agencies, UNDP (current US$), gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 53 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Net official flows from UN agencies, UNDP (current US$) with 97 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 official flows from UN agencies, UNDP 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 official flows from UN agencies, UNDP (current US$) with 97 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.