Provisions to nonperforming loans (%) in Botswana
Botswana: Provisions to nonperforming loans (%) was 60.2% in 2020. ▼ Falling
Provisions to nonperforming loans in Botswana, 2000–2020
Source: Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Measured in %.
Analysis
The most recent figure for provisions to nonperforming loans in Botswana is 60.2%, measured in 2020.
That represents a change of up 1.9% on the previous year and down 31.1% over ten years.
Over the whole period, provisions to nonperforming loans in Botswana peaked at 96.1% in 2000 and was at its lowest, 42.7%, in 2018.
That places Botswana 69th out of 140 countries with data for 2020, putting it in the middle of the range.
The long-run direction has been consistently falling across the 10 years of available data.
Provisions to nonperforming loans (%) in Botswana, year by year
| Year | % | Change |
|---|---|---|
| 2000 | 96.1% | — |
| 2012 | 87.3% | -9.2% |
| 2013 | 64.3% | -26.4% |
| 2014 | 48.1% | -25.2% |
| 2015 | 54.2% | +12.7% |
| 2016 | 51.5% | -5.1% |
| 2017 | 53.7% | +4.3% |
| 2018 | 42.7% | -20.5% |
| 2019 | 59.0% | +38.2% |
| 2020 | 60.2% | +1.9% |
Botswana compared with similar countries
- Botswana's 60.2% is below the median for upper middle income countries, which is 67.1%, 90% of the median. (42 countries reporting)
- Botswana's 60.2% is above the median for Sub-Saharan Africa, which is 60.0%, 1.0× the median. (29 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 96.1% | 96.1% | 96.1% | 1 |
| 2010s | 57.6% | 42.7% | 87.3% | 8 |
| 2020s | 60.2% | 60.2% | 60.2% | 1 |
Countries ranked near Botswana
More financial sector data for Botswana
- Reserve position in the IMF, US dollar, annual growth rate 4.92 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.0034 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 26.64 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate -0.0848 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.0025 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 19.45 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 4.92 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.0034 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 26.64 units per person (2025)
- Reserve tranche position, SDR, annual growth rate -0.0848 % change on previous year (2025)
Frequently asked questions
- What is provisions to nonperforming loans in Botswana?
- Provisions to nonperforming loans in Botswana was 60.2% in 2020, according to Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF).
- What is the highest provisions to nonperforming loans recorded in Botswana?
- The highest recorded value was 96.1% in 2000.
- What is the lowest provisions to nonperforming loans recorded in Botswana?
- The lowest recorded value was 42.7% in 2018.
- How does Botswana rank for provisions to nonperforming loans?
- Botswana ranks 69th out of 140 countries with data for 2020.
- Is provisions to nonperforming loans rising or falling in Botswana?
- Over the last ten years it is down 31.1%. The long-run trend across the full record is falling.
- Where does this Botswana data come from?
- The figures come from Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF), published as part of Provisions to nonperforming loans (%). Statizoid updates them automatically from the source API.
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CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Provisions to nonperforming loans. Nonperforming Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries.