---
license: gpl
language:
- en
tags:
- finance
- banking
size_categories:
- 1K<n<10K
---
# Africa Automated Teller Machines (ATMs) (per 100,000 adults) Dataset

## Overview
This dataset contains automated teller machines (atms) (per 100,000 adults) data for African countries from the World Bank.

## Data Details
- **Indicator Code**: FB.ATM.TOTL.P5
- **Description**: Automated Teller Machines (ATMs) (per 100,000 adults)
- **Geographic Coverage**: 52 African countries
- **Time Period**: 2004-2023
- **Data Points**: 858 observations
- **Coverage**: 24.44% of possible country-year combinations

## File Formats

### Main Dataset (`fb_atm_totl_p5_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**: 858
- **Coverage Rate**: 24.44%
- **Earliest Data**: 2004
- **Latest Data**: 2023

### Countries with No Data
2 countries have no observations:
Eritrea, Somalia

## Usage Examples

### Python
```python
import pandas as pd

# Load main dataset
df = pd.read_csv('fb_atm_totl_p5_africa.csv', index_col=[0, 1])
```

### R
```r
# Load main dataset
df <- read.csv('fb_atm_totl_p5_africa.csv', row.names=c(1,2))
```

## Source
World Bank Open Data - Automated Teller Machines (ATMs) (per 100,000 adults)
- **Original File**: API_FB.ATM.TOTL.P5_DS2_en_excel_v2_21147.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.