Net official flows from UN agencies, UNFPA (current US$), gaps filled in Bangladesh
Bangladesh: Net official flows from UN agencies, UNFPA (current US$), gaps filled was 6.78 million current US$ in 2023. ◆ Volatile
Net official flows from UN agencies, UNFPA (current US$), gaps filled in Bangladesh, 1977–2023
Source: Statizoid (derived). Measured in current US$.
Analysis
The most recent figure for net official flows from un agencies, unfpa (current us$), gaps filled in Bangladesh is 6.78 million current US$, measured in 2023.
That represents a change of up 0.7% on the previous year and down 8.4% over ten years.
Over the whole period, net official flows from un agencies, unfpa (current us$), gaps filled in Bangladesh peaked at 22.31 million current US$ in 2003 and was at its lowest, 1.62 million current US$, in 1987.
Bangladesh ranks 7th of 157 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Net official flows from UN agencies, UNFPA (current US$), gaps filled in Bangladesh, year by year
| Year | current US$ | Change |
|---|---|---|
| 1977 | 2.24 million current US$ | — |
| 1978 | 3.71 million current US$ | +65.5% |
| 1979 | 5.17 million current US$ | +39.6% |
| 1980 | 6.64 million current US$ | +28.4% |
| 1981 | 4.43 million current US$ | -33.3% |
| 1982 | 2.86 million current US$ | -35.4% |
| 1983 | 3.41 million current US$ | +19.2% |
| 1984 | 3.88 million current US$ | +13.8% |
| 1985 | 3.12 million current US$ | -19.6% |
| 1986 | 2.28 million current US$ | -26.9% |
| 1987 | 1.62 million current US$ | -28.9% |
| 1988 | 2.94 million current US$ | +81.5% |
| 1989 | 3.08 million current US$ | +4.8% |
| 1990 | 4.51 million current US$ | +46.4% |
| 1991 | 2.47 million current US$ | -45.2% |
| 1992 | 2.59 million current US$ | +4.9% |
| 1993 | 3.16 million current US$ | +22.0% |
| 1994 | 6.11 million current US$ | +93.4% |
| 1995 | 8.33 million current US$ | +36.3% |
| 1996 | 7.99 million current US$ | -4.1% |
| 1997 | 6.75 million current US$ | -15.5% |
| 1998 | 6.91 million current US$ | +2.4% |
| 1999 | 5.95 million current US$ | -13.9% |
| 2000 | 3.68 million current US$ | -38.2% |
| 2001 | 13.72 million current US$ | +272.8% |
| 2002 | 10.33 million current US$ | -24.7% |
| 2003 | 22.31 million current US$ | +116.0% |
| 2004 | 6.31 million current US$ | -71.7% |
| 2005 | 4.71 million current US$ | -25.4% |
| 2006 | 6.25 million current US$ | +32.7% |
| 2007 | 6.12 million current US$ | -2.1% |
| 2008 | 6.56 million current US$ | +7.2% |
| 2009 | 6.33 million current US$ | -3.5% |
| 2010 | 6.60 million current US$ | +4.3% |
| 2011 | 6.36 million current US$ | -3.6% |
| 2012 | 5.53 million current US$ | -13.0% |
| 2013 | 7.40 million current US$ | +33.8% |
| 2014 | 7.47 million current US$ | +0.9% |
| 2015 | 7.04 million current US$ | -5.7% |
| 2016 | 6.90 million current US$ | -2.0% |
| 2017 | 5.15 million current US$ | -25.4% |
| 2018 | 5.50 million current US$ | +6.8% |
| 2019 | 5.39 million current US$ | -2.1% |
| 2020 | 5.33 million current US$ | -1.0% |
| 2021 | 5.48 million current US$ | +2.7% |
| 2022 | 6.73 million current US$ | +22.8% |
| 2023 | 6.78 million current US$ | +0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3.71 million current US$ | 2.24 million current US$ | 5.17 million current US$ | 3 |
| 1980s | 3.43 million current US$ | 1.62 million current US$ | 6.64 million current US$ | 10 |
| 1990s | 5.48 million current US$ | 2.47 million current US$ | 8.33 million current US$ | 10 |
| 2000s | 8.63 million current US$ | 3.68 million current US$ | 22.31 million current US$ | 10 |
| 2010s | 6.34 million current US$ | 5.15 million current US$ | 7.47 million current US$ | 10 |
| 2020s | 6.08 million current US$ | 5.33 million current US$ | 6.78 million current US$ | 4 |
Countries ranked near Bangladesh
- 4 Pakistan 7.60 million current US$ compare
- 5 South Sudan 6.92 million current US$ compare
- 6 Ethiopia 6.78 million current US$ compare
- 8 Sudan 6.55 million current US$ compare
- 9 Tanzania, United Republic of 6.12 million current US$ compare
- 10 Burkina Faso 5.95 million current US$ compare
More aid effectiveness data for Bangladesh
- Net bilateral aid flows from DAC donors, Austria 2.76 million current US$ (2023)
- Net bilateral aid flows from DAC donors, Belgium 1.04 million current US$ (2023)
- Net bilateral aid flows from DAC donors, Canada 75.38 million current US$ (2023)
- Net bilateral aid flows from DAC donors, European Union institutions 196.22 million current US$ (2023)
- Net bilateral aid flows from DAC donors, Switzerland 37.91 million current US$ (2023)
- Net bilateral aid flows from DAC donors, Germany 176.48 million current US$ (2023)
- Net bilateral aid flows from DAC donors, France 155.95 million current US$ (2023)
- Net bilateral aid flows from DAC donors, United Kingdom 71.96 million current US$ (2023)
- Net bilateral aid flows from DAC donors, Italy 1.55 million current US$ (2023)
- Net bilateral aid flows from DAC donors, Japan 1.85 billion current US$ (2023)
Frequently asked questions
- What is net official flows from un agencies, unfpa (current us$), gaps filled in Bangladesh?
- Net official flows from un agencies, unfpa (current us$), gaps filled in Bangladesh was 6.78 million current US$ in 2023, according to Statizoid (derived).
- What is the highest net official flows from un agencies, unfpa (current us$), gaps filled recorded in Bangladesh?
- The highest recorded value was 22.31 million current US$ in 2003.
- What is the lowest net official flows from un agencies, unfpa (current us$), gaps filled recorded in Bangladesh?
- The lowest recorded value was 1.62 million current US$ in 1987.
- How does Bangladesh rank for net official flows from un agencies, unfpa (current us$), gaps filled?
- Bangladesh ranks 7th out of 157 countries with data for 2023.
- Is net official flows from un agencies, unfpa (current us$), gaps filled rising or falling in Bangladesh?
- Over the last ten years it is down 8.4%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Statizoid (derived), published as part of Net official flows from UN agencies, UNFPA (current US$), gaps filled. Statizoid updates them automatically from the source API.
Download this data
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How this figure is calculated
Net official flows from UN agencies, UNFPA (current US$) with 350 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, UNFPA 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, UNFPA (current US$) with 350 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.