Household Sector Loan Accounts with Commercial Banks per 1,000 Adults in Bangladesh
Bangladesh: Household Sector Loan Accounts with Commercial Banks per 1,000 Adults was 89.61 in 2024. ▲ Rising
Household Sector Loan Accounts with Commercial Banks per 1,000 Adults in Bangladesh, 2004–2024
Source: International Monetary Fund.
Analysis
Bangladesh recorded 89.61 for household sector loan accounts with commercial banks per 1,000 adults in 2024.
Compared with earlier readings it is down 1.7% on the previous year and up 38.5% over ten years.
Over the whole period, household sector loan accounts with commercial banks per 1,000 adults in Bangladesh peaked at 91.52 in 2022 and was at its lowest, 64.69, in 2014.
That places Bangladesh 75th out of 98 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 21 years of available data.
Household Sector Loan Accounts with Commercial Banks per 1,000 Adults in Bangladesh, year by year
| Year | Value | Change |
|---|---|---|
| 2004 | 76.1 | — |
| 2005 | 80.18 | +5.4% |
| 2006 | 80.74 | +0.7% |
| 2007 | 77.24 | -4.3% |
| 2008 | 76.83 | -0.5% |
| 2009 | 77.67 | +1.1% |
| 2010 | 78.72 | +1.4% |
| 2011 | 70.83 | -10.0% |
| 2012 | 72.31 | +2.1% |
| 2013 | 66.44 | -8.1% |
| 2014 | 64.69 | -2.6% |
| 2015 | 67.63 | +4.5% |
| 2016 | 68.75 | +1.7% |
| 2017 | 68.89 | +0.2% |
| 2018 | 70.95 | +3.0% |
| 2019 | 71.74 | +1.1% |
| 2020 | 71.38 | -0.5% |
| 2021 | 85.28 | +19.5% |
| 2022 | 91.52 | +7.3% |
| 2023 | 91.13 | -0.4% |
| 2024 | 89.61 | -1.7% |
Bangladesh compared with similar countries
- Bangladesh's 89.61 is above the median for lower middle income countries, which is 57.8, 1.6× the median. (22 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 78.12 | 76.1 | 80.74 | 6 |
| 2010s | 70.1 | 64.69 | 78.72 | 10 |
| 2020s | 85.78 | 71.38 | 91.52 | 5 |
Countries ranked near Bangladesh
More financial sector data for Bangladesh
- Net domestic credit (current LCU), per capita 162,369 current LCU per person (2025)
- Net domestic credit (current LCU), per unit of GDP 62.51 current LCU per US$ of GDP (2025)
- Net domestic credit (current LCU), annual growth rate 9.59 % change on previous year (2025)
- Gold reserves at 35 SDRs per ounce 16.07 million SDR (2025)
- Gold reserves at market value 1.46 billion SDR (2025)
- Reserves excluding gold, foreign exchange 17.51 billion SDR (2025)
- Reserves excluding gold 19.39 billion SDR (2025)
- Total reserves (gold at market value) 20.86 billion SDR (2025)
- Total reserves (gold at national valuation) 20.86 billion SDR (2025)
- Total reserves (gold at national valuation) (SDR), per capita 118.71 SDR per person (2025)
Frequently asked questions
- What is household sector loan accounts with commercial banks per 1,000 adults in Bangladesh?
- Household sector loan accounts with commercial banks per 1,000 adults in Bangladesh was 89.61 in 2024, according to International Monetary Fund.
- What is the highest household sector loan accounts with commercial banks per 1,000 adults recorded in Bangladesh?
- The highest recorded value was 91.52 in 2022.
- What is the lowest household sector loan accounts with commercial banks per 1,000 adults recorded in Bangladesh?
- The lowest recorded value was 64.69 in 2014.
- How does Bangladesh rank for household sector loan accounts with commercial banks per 1,000 adults?
- Bangladesh ranks 75th out of 98 countries with data for 2024.
- Is household sector loan accounts with commercial banks per 1,000 adults rising or falling in Bangladesh?
- Over the last ten years it is up 38.5%. 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 Household Sector Loan Accounts with Commercial Banks per 1,000 Adults. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under IMF Terms and Conditions (attribution required).
About this data
Gender-disaggregated data on access to and use of financial services.