metadata
license: gpl
language:
- en
tags:
- banking
- Africa
size_categories:
- 1K<n<10K
Africa Bank Capital to Assets Ratio (%) Dataset
Overview
This dataset contains bank capital to assets ratio (%) data for African countries from the World Bank.
Data Details
- Indicator Code: FB.BNK.CAPA.ZS
- Description: Bank Capital to Assets Ratio (%)
- Geographic Coverage: 33 African countries
- Time Period: 2005-2023
- Data Points: 434 observations
- Coverage: 12.36% of possible country-year combinations
File Formats
Main Dataset (fb_bnk_capa_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: 434
- Coverage Rate: 12.36%
- Earliest Data: 2005
- Latest Data: 2023
Countries with No Data
21 countries have no observations: Benin, Burkina Faso, Cote d'Ivoire, Cabo Verde, Egypt, Arab Rep., Eritrea, Guinea-Bissau, Liberia, Libya, Mali, Mauritania, Niger, Sudan, Senegal, Sierra Leone, Somalia, South Sudan, Sao Tome and Principe, Togo, Tunisia, Zimbabwe
Usage Examples
Python
import pandas as pd
# Load main dataset
df = pd.read_csv('fb_bnk_capa_zs_africa.csv', index_col=[0, 1])
R
# Load main dataset
df <- read.csv('fb_bnk_capa_zs_africa.csv', row.names=c(1,2))
Source
World Bank Open Data - Bank Capital to Assets Ratio (%)
- Original File: API_FB.BNK.CAPA.ZS_DS2_en_excel_v2_37040.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.