All datasets
Synthetic dataInsurance

Nigerian Insurance Claims

Synthetic motor policy and claims scenarios for severity modelling and anomalous claim classification.

NigeriaClassification / RegressionAdvancedVersion 1.0.0CC BY 4.0

Every download includes a separate citation metadata file and covers the 0 columns you selected.

Synthetic data notice: No real people or organizations are represented. This dataset is not an official statistic or empirical observation.

What this dataset represents

Synthetic motor policy and claims scenarios for severity modelling and anomalous claim classification.

Intended use

Claims severity modelling, anomaly detection, and insurance analytics education.

Ethical considerations

Use this dataset for learning, prototyping, and research. Do not use synthetic outputs to infer facts about individuals, communities, companies, or Nigerian population statistics.

Rows
18,000
Variables
5
Size
4.2 MB

Research questions

  • Can one model frequency and severity jointly?
  • Which features identify unusual claims?