Getting credit: Depth of credit information index (0-8) (DB15-20) in Botswana
Botswana: Getting credit: Depth of credit information index (0-8) (DB15-20) was 87.5 in 2019. ▬ Flat
Getting credit: Depth of credit information index (0-8) (DB15-20) in Botswana, 2013–2019
Source: World Bank.
Analysis
The most recent figure for getting credit: depth of credit information index (0-8) (db15-20) in Botswana is 87.5, measured in 2019. That is the highest value across all 7 years on record.
The figure is unchanged over ten years.
That places Botswana 54th out of 191 countries with data for 2019, putting it in the middle of the range.
Getting credit: Depth of credit information index (0-8) (DB15-20) in Botswana, year by year
| Year | Value | Change |
|---|---|---|
| 2013 | 87.5 | — |
| 2014 | 87.5 | +0.0% |
| 2015 | 87.5 | +0.0% |
| 2016 | 87.5 | +0.0% |
| 2017 | 87.5 | +0.0% |
| 2018 | 87.5 | +0.0% |
| 2019 | 87.5 | +0.0% |
Countries ranked near Botswana
- 54 India 87.5 compare
- 54 Pakistan 87.5 compare
- 54 Russia 87.5 compare
- 54 Austria 87.5 compare
- 54 Belarus 87.5 compare
- 54 Bhutan 87.5 compare
- 54 Bolivia 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 Malawi 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 87.5 compare
- 54 Zimbabwe 87.5 compare
More private sector data for Botswana
- Merchandise trade 57.8% (2025)
- Food imports 16.2% (2023)
- Manufactures imports 61.8% (2023)
- Merchandise imports 6.39 billion current US$ (2025)
- Food exports 1.9% (2023)
- Manufactures exports 86.3% (2023)
- Merchandise exports 5.12 billion current US$ (2025)
- Merchandise exports (current US$), per capita 1,998 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.2569 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate 9.73 % change on previous year (2025)
Frequently asked questions
- What is getting credit: depth of credit information index (0-8) (db15-20) in Botswana?
- Getting credit: depth of credit information index (0-8) (db15-20) in Botswana 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 Botswana?
- The highest recorded value was 87.5 in 2013.
- What is the lowest getting credit: depth of credit information index (0-8) (db15-20) recorded in Botswana?
- The lowest recorded value was 87.5 in 2013.
- How does Botswana rank for getting credit: depth of credit information index (0-8) (db15-20)?
- Botswana ranks 54th out of 191 countries with data for 2019.
- Is getting credit: depth of credit information index (0-8) (db15-20) rising or falling in Botswana?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Botswana 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.
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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.