Fire statistics – Collection, processing and harmonization
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Fire statistics – Collection, processing and harmonization

Authors : Eric GUILLAUME, Mohamad El HOUSSAMI

Publication date: April 10, 2026 | Lire en français

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Overview

ABSTRACT

This paper offers a critical overview of fire statistics: their purposes (policy steering, prevention, resource allocation) and their limits (inconsistent definitions, under-reporting, exclusion of delayed deaths). It contrasts French and international systems, explains the contributions of CépiDc mortality data and circumstance-based inquiries (e.g., LCPP), and maps current harmonization efforts (ISO 17755, EU FireStat). It closes with prospects for cross-sector integration and predictive analytics to support evidence-based fire policies.

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AUTHORS

  • Eric GUILLAUME: Efectis, Saint-Aubin, France

  • Mohamad El HOUSSAMI: Efectis, Saint-Aubin, France

 INTRODUCTION

Fire statistics are an indispensable tool for understanding risks, guiding public policy, and improving the protection of people and property. They not only make it possible to measure the effectiveness of regulations and prevention measures, but also to identify the primary risk factors and optimize the allocation of civil protection resources. Furthermore, they inform the cost-benefit analyses essential for justifying safety measures, whether these involve standalone smoke detectors, automatic fire suppression systems, or specific building modifications.

However, despite their strategic importance, fire data collection systems suffer from significant inconsistencies. Definitions vary from one country to another, data collection methods differ, and databases often contain significant gaps, particularly regarding the circumstances of fires and their root causes. In France, for example, the data centralized by the DGSCGC is based on reports from departmental services, but it does not systematically cover delayed deaths or those occurring in hospitals. The partial integration of medical data thus explains the discrepancies observed between official statistics and those of INSERM, which reveal a death toll approximately 30% higher than that reported in the fire department’s annual reports . This lack of comprehensiveness undermines the reliability of longitudinal analyses and skews the evaluation of prevention policies.

Internationally, the diversity of practices further complicates comparisons. In the United...

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KEYWORDS

fire statistics   |   data harmonization   |   mortality surveillance

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