license: gpl
tags:
- finance
- credit
- banks
size_categories:
- 1K<n<10K
Africa Domestic Credit to Private Sector by Banks (% of GDP) Dataset
Overview
This dataset contains domestic credit to private sector by banks (% of gdp) data for African countries from the World Bank.
Data Details
- Indicator Code: FS.AST.DOMS.GD.ZS
- Description: Domestic Credit to Private Sector by Banks (% of GDP)
- Geographic Coverage: 14 African countries
- Time Period: 1965-2024
- Data Points: 284 observations
- Coverage: 8.09% of possible country-year combinations
File Formats
Main Dataset (fs_ast_doms_gd_zs_africa.csv)
- Rows: 54 countries
- Columns: 65 years (1960-2024)
- Structure: Countries as rows, years as columns
- Missing Value Treatment: Interpolation → Forward Fill → Backward Fill
- Use Case: Cross-sectional analysis, heatmaps, correlation analysis
Data Quality
Coverage Statistics
- Total Observations: 284
- Coverage Rate: 8.09%
- Earliest Data: 1965
- Latest Data: 2024
Countries with No Data
40 countries have no observations: Burundi, Benin, Burkina Faso, Central African Republic, Cote d'Ivoire, Cameroon, Congo, Dem. Rep., Congo, Rep., Cabo Verde, Djibouti, Algeria, Egypt, Arab Rep., Eritrea, Gabon, Ghana, Guinea, Gambia, The, Guinea-Bissau, Equatorial Guinea, Kenya, Liberia, Libya, Lesotho, Madagascar, Mali, Mozambique, Mauritania, Niger, Nigeria, Sudan, Senegal, Sierra Leone, Somalia, South Sudan, Sao Tome and Principe, Eswatini, Seychelles, Chad, Togo, Tanzania
Usage Examples
Python
import pandas as pd
# Load main dataset
df = pd.read_csv('fs_ast_doms_gd_zs_africa.csv', index_col=[0, 1])
R
# Load main dataset
df <- read.csv('fs_ast_doms_gd_zs_africa.csv', row.names=c(1,2))
Source
World Bank Open Data - Domestic Credit to Private Sector by Banks (% of GDP)
- Original File: API_FS.AST.DOMS.GD.ZS_DS2_en_excel_v2_21249.xls
- Processed: 2025-08-18
License
This dataset is derived from World Bank Open Data and is available under the Creative Commons Attribution 4.0 International License.