Getting credit: Depth of credit information index (0-8) (DB15-20) in Malawi
Malawi: Getting credit: Depth of credit information index (0-8) (DB15-20) was 87.5 in 2019. ◆ Volatile
Latest (2019)
87.5
Change on year
unchanged
World rank
54th
of 191 countries
All-time high
87.5
in 2017
All-time low
0
in 2013
Years of data
7
2013–2019
Getting credit: Depth of credit information index (0-8) (DB15-20) in Malawi, 2013–2019
Source: World Bank.
Analysis
Malawi recorded 87.5 for getting credit: depth of credit information index (0-8) (db15-20) in 2019. That is the highest value across all 7 years on record.
Malawi ranks 54th of 191 countries on this measure, in the middle of the range.
Getting credit: Depth of credit information index (0-8) (DB15-20) in Malawi, year by year
| Year | Value | Change |
|---|---|---|
| 2013 | 0 | — |
| 2014 | 0 | — |
| 2015 | 0 | — |
| 2016 | 0 | — |
| 2017 | 87.5 | — |
| 2018 | 87.5 | +0.0% |
| 2019 | 87.5 | +0.0% |
Countries ranked near Malawi
- 54 India 87.5 compare
- 54 Pakistan 87.5 compare
- 54 Russian Federation 87.5 compare
- 54 Austria 87.5 compare
- 54 Belarus 87.5 compare
- 54 Bhutan 87.5 compare
- 54 Bolivia, Plurinational State of 87.5 compare
- 54 Botswana 87.5 compare
- 54 Chile 87.5 compare
- 54 Colombia 87.5 compare
- 54 Costa Rica 87.5 compare
- 54 Czechia 87.5 compare
- 54 El Salvador 87.5 compare
- 54 Estonia 87.5 compare
- 54 Eswatini 87.5 compare
- 54 Greece 87.5 compare
- 54 Hong Kong 87.5 compare
- 54 Iceland 87.5 compare
- 54 Ireland 87.5 compare
- 54 Italy 87.5 compare
- 54 Mauritius 87.5 compare
- 54 Mongolia 87.5 compare
- 54 Morocco 87.5 compare
- 54 Namibia 87.5 compare
- 54 Netherlands 87.5 compare
- 54 North Macedonia 87.5 compare
- 54 Paraguay 87.5 compare
- 54 Philippines 87.5 compare
- 54 Portugal 87.5 compare
- 54 Puerto Rico 87.5 compare
- 54 Romania 87.5 compare
- 54 Senegal 87.5 compare
- 54 Serbia 87.5 compare
- 54 Singapore 87.5 compare
- 54 Slovakia 87.5 compare
- 54 South Africa 87.5 compare
- 54 Spain 87.5 compare
- 54 Switzerland 87.5 compare
- 54 Tajikistan 87.5 compare
- 54 Thailand 87.5 compare
- 54 Tunisia 87.5 compare
- 54 Uganda 87.5 compare
- 54 Ukraine 87.5 compare
- 54 Uzbekistan 87.5 compare
- 54 Venezuela, Bolivarian Republic of 87.5 compare
- 54 Zimbabwe 87.5 compare
More private sector data for Malawi
- Merchandise trade 30.9% (2025)
- Food imports 11.8% (2024)
- Manufactures imports 68.1% (2024)
- Merchandise imports 3.66 billion current US$ (2025)
- Food exports 90.2% (2024)
- Manufactures exports 8.0% (2024)
- Merchandise exports 947.00 million current US$ (2025)
- Merchandise exports (current US$), per capita 42.63 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.0635 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate -1.15 % change on previous year (2025)
Frequently asked questions
- What is getting credit: depth of credit information index (0-8) (db15-20) in Malawi?
- Getting credit: depth of credit information index (0-8) (db15-20) in Malawi was 87.5 in 2019, according to the World Bank.
- What is the highest getting credit: depth of credit information index (0-8) (db15-20) recorded in Malawi?
- The highest recorded value was 87.5 in 2017.
- What is the lowest getting credit: depth of credit information index (0-8) (db15-20) recorded in Malawi?
- The lowest recorded value was 0 in 2013.
- How does Malawi rank for getting credit: depth of credit information index (0-8) (db15-20)?
- Malawi ranks 54th out of 191 countries with data for 2019.
- Where does this Malawi data come from?
- The figures come from the World Bank, published as part of Getting credit: Depth of credit information index (0-8) (DB15-20 methodology) - Score. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 7 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The score for the depth of credit information benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB15-20 studies.