electricsheepafrica/african-funeral-insurance-market

---
license: cc-by-4.0
task_categories:
- tabular-classification
tags:
- insurance
- funeral
- burial
- microinsurance
- sub-saharan-africa
- synthetic
- market
pretty_name: African Funeral Insurance Market
size_categories:
- 10K<n<100K
language:
- en
configs:
- config_name: traditional_market
data_files: data/funeral_insurance_traditional_market.csv
- config_name: formal_expansion
data_files: data/funeral_insurance_formal_expansion.csv
- config_name: digital_disruption
data_files: data/funeral_insurance_digital_disruption.csv
---

# African Funeral Insurance Market

Synthetic funeral insurance market dataset covering 12 Sub-Saharan African countries across 3 market scenarios. Designed for insurance market analysis, product penetration research, pricing optimization, and financial inclusion studies.

## Dataset Description

- **50,000** synthetic funeral insurance policy records
- **12 countries**: South Africa, Nigeria, Kenya, Ghana, Tanzania, Uganda, Rwanda, Ethiopia, Senegal, Cote d'Ivoire, Zambia, Zimbabwe
- **3 scenarios**: traditional_market, formal_expansion, digital_disruption
- **24 variables** per record

## Variables

| Variable | Type | Description |
|---|---|---|
| policy_id | string | Unique policy identifier |
| country | string | Country of origin |
| region | string | Sub-region (East, West, Southern) |
| year | int | Policy year |
| age | int | Policyholder age (18-80) |
| gender | string | gender_male, gender_female |
| income_bracket | string | Income level (low, lower_middle, upper_middle, high) |
| household_size | int | Number of dependents (1-12) |
| occupation | string | Occupation category |
| product_type | string | Product type (stand-alone, burial_society, group, credit_life) |
| sum_assured_usd | float | Death benefit amount in USD |
| premium_frequency | string | Payment frequency (monthly, quarterly, annual) |
| monthly_premium_usd | float | Premium amount in USD |
| waiting_period_months | int | Exclusion period (0-24 months) |
| policy_status | string | active, lapsed, claims_pending, claims_paid |
| claims_count | int | Number of claims made (0-3) |
| total_claims_amount_usd | float | Total claims received in USD |
| channel | string | Distribution channel |
| has_mobile_money | int | Binary: uses mobile money |
| burial_society_member | int | Binary: member of burial society |
| financial_inclusion_score | int | Financial inclusion level (0-10) |
| risk_score | int | Underwriting risk score (0-10) |
| scenario | string | traditional_market, formal_expansion, or digital_disruption |

## Scenarios

- **traditional_market** (20K records): Dominated by burial societies and informal mechanisms, 2020-2023.
- **formal_expansion** (20K records): Formal insurers expanding market share, 2023-2025.
- **digital_disruption** (10K records): Digital-first funeral insurance products, 2025-2026.

## Generation Methodology

Parameters are calibrated against published data from:
- Al Jazeera funeral insurance coverage (2026)
- Global Burial Insurance Market Reports 2025
- Deloitte Africa Insurance Outlook 2024/2025
- FinMark Trust financial inclusion data
- Microinsurance Network 2025 trends
- Sanlam and Old Mutual funeral insurance product data
- Central Bank of Kenya insurance statistics

## Use Cases

- Funeral insurance market sizing
- Product penetration analysis
- Claims experience modeling
- Distribution channel optimization
- Cross-country market comparison
- Synthetic data generation evaluation

## Citation

```bibtex
@dataset{african_funeral_insurance_2026,
title={African Funeral Insurance Market Dataset},
author={ElectricSheepAfrica},
year={2026},
license={cc-by-4.0}
}
```

## License

CC BY 4.0 - This is synthetic data generated for research and educational purposes.