ArticleData in brief2026
A detailed dataset of motor insurance policies with coverage-specific financial information.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
This article presents a dataset of anonymised motor insurance policies from a Spanish insurance company covering the period 2022-2024. The dataset contains 354,140 policy-year observations and >185,000 unique insured policies per year, with a total of 47 variables. The dataset includes detailed information on policy and insured characteristics, driver and vehicle characteristics, as well as financial information such as premiums, exposure and claims. A systematic data processing and validation procedure was applied to ensure internal consistency, including the removal of duplicate policy-year records, standardisation of categorical variables and validation of numerical ranges. A key feature of the dataset is the detailed disaggregation of premiums, exposures, claim counts and incurred amounts by insurance coverage, including third-party liability (material and bodily injury), property damage, theft, fire, glass, legal protection and occupants. This structure supports reuse in actuarial pricing, risk modelling and insurance research.
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