Number of Household Sector Borrowers at Commercial Banks per 1,000 in Bangladesh
Bangladesh: Number of Household Sector Borrowers at Commercial Banks per 1,000 was 83.82 in 2024. ▲ Rising
Number of Household Sector Borrowers at Commercial Banks per 1,000 in Bangladesh, 2004–2024
Source: International Monetary Fund.
Analysis
The most recent figure for number of household sector borrowers at commercial banks per 1,000 in Bangladesh is 83.82, measured in 2024. That is the highest value across all 21 years on record.
The figure is up 0.7% on the previous year and up 32.0% over ten years.
Over the whole period, number of household sector borrowers at commercial banks per 1,000 in Bangladesh peaked at 83.82 in 2024 and was at its lowest, 57.16, in 2004.
Bangladesh ranks 66th of 89 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 21 years of available data.
Number of Household Sector Borrowers at Commercial Banks per 1,000 in Bangladesh, year by year
| Year | Value | Change |
|---|---|---|
| 2004 | 57.16 | — |
| 2005 | 60.44 | +5.8% |
| 2006 | 61.76 | +2.2% |
| 2007 | 61.04 | -1.2% |
| 2008 | 61.26 | +0.4% |
| 2009 | 60.71 | -0.9% |
| 2010 | 61.18 | +0.8% |
| 2011 | 69.17 | +13.1% |
| 2012 | 70.27 | +1.6% |
| 2013 | 64.4 | -8.4% |
| 2014 | 63.48 | -1.4% |
| 2015 | 65.89 | +3.8% |
| 2016 | 63.71 | -3.3% |
| 2017 | 67.19 | +5.5% |
| 2018 | 68.99 | +2.7% |
| 2019 | 68.86 | -0.2% |
| 2020 | 68.44 | -0.6% |
| 2021 | 81.83 | +19.6% |
| 2022 | 81.97 | +0.2% |
| 2023 | 83.27 | +1.6% |
| 2024 | 83.82 | +0.7% |
Bangladesh compared with similar countries
- Bangladesh's 83.82 is above the median for lower middle income countries, which is 50.96, 1.6× the median. (21 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 60.4 | 57.16 | 61.76 | 6 |
| 2010s | 66.31 | 61.18 | 70.27 | 10 |
| 2020s | 79.87 | 68.44 | 83.82 | 5 |
Countries ranked near Bangladesh
More financial sector data for Bangladesh
- Reserve position in the IMF, US dollar, annual growth rate 5.07 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.0004 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 1.05 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate 0.0537 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 0.7636 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 5.07 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.0004 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 1.05 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 0.0537 % change on previous year (2025)
Frequently asked questions
- What is number of household sector borrowers at commercial banks per 1,000 in Bangladesh?
- Number of household sector borrowers at commercial banks per 1,000 in Bangladesh was 83.82 in 2024, according to International Monetary Fund.
- What is the highest number of household sector borrowers at commercial banks per 1,000 recorded in Bangladesh?
- The highest recorded value was 83.82 in 2024.
- What is the lowest number of household sector borrowers at commercial banks per 1,000 recorded in Bangladesh?
- The lowest recorded value was 57.16 in 2004.
- How does Bangladesh rank for number of household sector borrowers at commercial banks per 1,000?
- Bangladesh ranks 66th out of 89 countries with data for 2024.
- Is number of household sector borrowers at commercial banks per 1,000 rising or falling in Bangladesh?
- Over the last ten years it is up 32.0%. The long-run trend across the full record is rising.
- Where does this Bangladesh data come from?
- The figures come from International Monetary Fund, published as part of Number of Household Sector Borrowers at Commercial Banks per 1,000 Adults. Statizoid updates them automatically from the source API.
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About this data
Gender-disaggregated data on access to and use of financial services.