Net financial flows, IMF nonconcessional (NFL, current US$) in Tanzania
Tanzania: Net financial flows, IMF nonconcessional (NFL, current US$) was 440.67 million NFL, current US$ in 2025. ◆ Volatile
Net financial flows, IMF nonconcessional in Tanzania, 1973–2025
Source: International Debt Statistics, World Bank (WB). Measured in NFL, current US$.
Analysis
Tanzania recorded 440.67 million NFL, current US$ for net financial flows, imf nonconcessional in 2025.
Compared with earlier readings it is up 23.2% on the previous year and up 820.2% over ten years.
Over the whole period, net financial flows, imf nonconcessional in Tanzania peaked at 566.69 million NFL, current US$ in 2021 and was at its lowest, -85.44 million NFL, current US$, in 2018.
That places Tanzania 10th out of 113 countries with data for 2025, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Net financial flows, IMF nonconcessional (NFL, current US$) in Tanzania, year by year
| Year | NFL, current US$ | Change |
|---|---|---|
| 1973 | -429,273 NFL, current US$ | — |
| 1974 | 59.34 million NFL, current US$ | -13923.4% |
| 1975 | 28.86 million NFL, current US$ | -51.4% |
| 1976 | 24.25 million NFL, current US$ | -16.0% |
| 1977 | 8.88 million NFL, current US$ | -63.4% |
| 1978 | -12.62 million NFL, current US$ | -242.1% |
| 1979 | 43.54 million NFL, current US$ | -445.0% |
| 1980 | 33.59 million NFL, current US$ | -22.8% |
| 1981 | -14.01 million NFL, current US$ | -141.7% |
| 1982 | -12.55 million NFL, current US$ | -10.5% |
| 1983 | -28.06 million NFL, current US$ | +123.6% |
| 1984 | -28.57 million NFL, current US$ | +1.8% |
| 1985 | -7.68 million NFL, current US$ | -73.1% |
| 1986 | 6.62 million NFL, current US$ | -186.2% |
| 1987 | 28.53 million NFL, current US$ | +330.9% |
| 1988 | 33.73 million NFL, current US$ | +18.2% |
| 1989 | -9.34 million NFL, current US$ | -127.7% |
| 1990 | 722,266 NFL, current US$ | -107.7% |
| 1991 | 2.53 million NFL, current US$ | +250.5% |
| 1992 | 84.94 million NFL, current US$ | +3254.9% |
| 1993 | -5.98 million NFL, current US$ | -107.0% |
| 1994 | -15.32 million NFL, current US$ | +156.4% |
| 1995 | -19.48 million NFL, current US$ | +27.1% |
| 1996 | 15.57 million NFL, current US$ | -179.9% |
| 1997 | 53.59 million NFL, current US$ | +244.1% |
| 1998 | 10.70 million NFL, current US$ | -80.0% |
| 1999 | 51.09 million NFL, current US$ | +377.3% |
| 2000 | 42.77 million NFL, current US$ | -16.3% |
| 2001 | 48.55 million NFL, current US$ | +13.5% |
| 2002 | 47.05 million NFL, current US$ | -3.1% |
| 2003 | 17.60 million NFL, current US$ | -62.6% |
| 2004 | -16.20 million NFL, current US$ | -192.1% |
| 2005 | -38.11 million NFL, current US$ | +135.2% |
| 2006 | 4.12 million NFL, current US$ | -110.8% |
| 2007 | 4.29 million NFL, current US$ | +4.0% |
| 2009 | 306.80 million NFL, current US$ | +7057.4% |
| 2010 | 29.92 million NFL, current US$ | -90.2% |
| 2011 | -2.21 million NFL, current US$ | -107.4% |
| 2012 | -3.00 million NFL, current US$ | +36.0% |
| 2013 | 109.97 million NFL, current US$ | -3762.9% |
| 2014 | -27.58 million NFL, current US$ | -125.1% |
| 2015 | -61.18 million NFL, current US$ | +121.8% |
| 2016 | -61.99 million NFL, current US$ | +1.3% |
| 2017 | -84.06 million NFL, current US$ | +35.6% |
| 2018 | -85.44 million NFL, current US$ | +1.6% |
| 2019 | -61.38 million NFL, current US$ | -28.2% |
| 2020 | -37.41 million NFL, current US$ | -39.0% |
| 2021 | 566.69 million NFL, current US$ | -1614.7% |
| 2022 | 154.38 million NFL, current US$ | -72.8% |
| 2023 | 302.48 million NFL, current US$ | +95.9% |
| 2024 | 357.59 million NFL, current US$ | +18.2% |
| 2025 | 440.67 million NFL, current US$ | +23.2% |
Tanzania compared with similar countries
- Tanzania's 440.67 million NFL, current US$ is above the median for Sub-Saharan Africa, which is 10.70 million NFL, current US$, 41.2× the median. (42 countries reporting)
Biggest year-on-year movements
Years where Net financial flows, IMF nonconcessional (NFL, current US$) in Tanzania changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1974 | +13923.4% | -429,273 NFL, current US$ | 59.34 million NFL, current US$ |
| 2009 | +7057.4% | 4.29 million NFL, current US$ | 306.80 million NFL, current US$ |
| 2013 | +3762.9% | -3.00 million NFL, current US$ | 109.97 million NFL, current US$ |
| 1992 | +3254.9% | 2.53 million NFL, current US$ | 84.94 million NFL, current US$ |
| 2021 | +1614.7% | -37.41 million NFL, current US$ | 566.69 million NFL, current US$ |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 21.69 million NFL, current US$ | -12.62 million NFL, current US$ | 59.34 million NFL, current US$ | 7 |
| 1980s | 227,717 NFL, current US$ | -28.57 million NFL, current US$ | 33.73 million NFL, current US$ | 10 |
| 1990s | 17.84 million NFL, current US$ | -19.48 million NFL, current US$ | 84.94 million NFL, current US$ | 10 |
| 2000s | 46.32 million NFL, current US$ | -38.11 million NFL, current US$ | 306.80 million NFL, current US$ | 9 |
| 2010s | -24.70 million NFL, current US$ | -85.44 million NFL, current US$ | 109.97 million NFL, current US$ | 10 |
| 2020s | 297.40 million NFL, current US$ | -37.41 million NFL, current US$ | 566.69 million NFL, current US$ | 6 |
Countries ranked near Tanzania
- 7 Sri Lanka 674.62 million NFL, current US$ compare
- 8 Ethiopia 481.43 million NFL, current US$ compare
- 9 Ghana 454.42 million NFL, current US$ compare
- 11 Papua New Guinea 371.25 million NFL, current US$ compare
- 12 Zambia 188.81 million NFL, current US$ compare
- 13 Jordan 159.78 million NFL, current US$ compare
More external debt data for Tanzania
- Net financial flows, IBRD -2.87 million NFL, current US$ (2004)
- IFC, private nonguaranteed (NFL, US$), per capita -0.4987 NFL, US$ per person (2024)
- IFC, private nonguaranteed (NFL, US$), per unit of GDP -0.0004 NFL, US$ per US$ of GDP (2024)
- IFC, private nonguaranteed (NFL, US$), per square kilometre 34.4 NFL, US$ per square kilometre (2023)
- Net financial flows, IDA (NFL, current US$), per capita 20.38 NFL, current US$ per person (2024)
- Net financial flows, IDA (NFL, current US$), per unit of GDP 0.0176 NFL, current US$ per US$ of GDP (2024)
- Net financial flows, IDA (NFL, current US$), per square kilometre 1,898 NFL, current US$ per square kilometre (2023)
- Use of IMF credit 2.61 billion DOD, current US$ (2025)
- External debt stocks, public and publicly guaranteed (PPG) 27.53 billion DOD, current US$ (2025)
- External debt stocks, long-term 33.16 billion DOD, current US$ (2025)
Frequently asked questions
- What is net financial flows, imf nonconcessional in Tanzania?
- Net financial flows, imf nonconcessional in Tanzania was 440.67 million NFL, current US$ in 2025, according to International Debt Statistics, World Bank (WB).
- What is the highest net financial flows, imf nonconcessional recorded in Tanzania?
- The highest recorded value was 566.69 million NFL, current US$ in 2021.
- What is the lowest net financial flows, imf nonconcessional recorded in Tanzania?
- The lowest recorded value was -85.44 million NFL, current US$ in 2018.
- How does Tanzania rank for net financial flows, imf nonconcessional?
- Tanzania ranks 10th out of 113 countries with data for 2025.
- Is net financial flows, imf nonconcessional rising or falling in Tanzania?
- Over the last ten years it is up 820.2%. The long-run trend across the full record is volatile.
- Where does this Tanzania data come from?
- The figures come from International Debt Statistics, World Bank (WB), published as part of Net financial flows, IMF nonconcessional (NFL, current US$). Statizoid updates them automatically from the source API.
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About this data
Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides nonconcessional lending through the credit it provides to its members, mainly to meet balance of payments needs. Data are in current U.S. dollars.