Synthetic Actuarial Life Insurance Data for 12 Sub-Saharan African Countries

A synthetic actuarial dataset for life insurance markets across 12 Sub-Saharan African countries. It contains 30,000 observations across three scenarios (baseline, improved mortality, pandemic impact) with 25 variables covering mortality, life expectancy, HIV prevalence, and policy metrics. The dataset was created by electricsheepafrica and last updated on Hugging Face in April 2026.

Use Cases

• Modeling mortality rates based on synthetic demographic and health indicators.
• Simulating life insurance policy performance under different scenarios (baseline, pandemic).
• Analyzing the impact of HIV prevalence on actuarial calculations.
• Benchmarking actuarial and machine learning models for insurance risk assessment.

Strengths

• 30,000 total observations across three distinct scenarios.
• 25 variables per record covering mortality, life expectancy, HIV prevalence, and policy metrics.
• Geographic focus on 12 Sub-Saharan African countries.

Limitations

• Data is synthetic, which may limit real-world applicability.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count per scenario is stated, but total file size and formats are unknown.

Provenance

Source

Hugging Face user electricsheepafrica.

Collection Method

Synthetic dataset, calibrated to unspecified sources.

Time Range

Scenario-based, not tied to a specific historical period.

Freshness

Last updated 2026-04-02 12:27:37.

Geography

12 Sub-Saharan African countries.