Historical catastrophe loss patterns
What losses have catastrophes produced in this geography by peril and observation period?
The data that answers it
Ranked by fit · best firstThe non-contributory annual-subscription Industry Exposure & Loss Database supplies qualifying event-loss history by event identity, dates and peril, with country and CRESTA geography, line, coverage and occupancy dimensions, reporting currency, original event-time insured-property loss basis, reporting threshold, and dated and numbered report vintages. It supports historical insured-catastrophe comparisons only within documented CORE territories and perils and EXTENDED scope, which excludes the United States.
ASDI schedules catastrophe-separated and non-catastrophe premium/loss experience, cause-of-loss analyses, historical excess-wind and other excess-loss experience, and losses or occurrence counts by geography, coverage, peril/cause, and data period. Use it as aggregate insured-industry catastrophe experience, not a complete event catalogue or an economic-loss series, and preserve the circular’s catastrophe definition, loss basis, currency, period, and valuation terms.
The non-contributory standing commercial database documents more than 30,000 historical event records across more than 230 countries and territories, quarterly releases, and event period, peril, geography, economic-loss, and insured-loss concepts. It supports historical comparison but public material does not establish granular class segmentation or exact currency and gross/net valuation semantics.
The non-contributory registered and commercially licensable EM-DAT full XLSX supplies a living 1900-present disaster-country history with disaster type and subtype, country and administrative units, event period, total and insured damage in event-year USD thousands, CPI-adjusted values, entry date, and last update. The weekly release or download date supplies the dataset as-of pin; missing values and EM-DAT inclusion methodology remain part of interpretation.
The current public v3 claim-transaction product supplies dated NFIP flood-loss records with dataset as-of date, named flood event, state, ZIP, county, census GEOID, rounded coordinates, cumulative paid building, contents, and increased-cost-of-compliance claim amounts, and coverage and occupancy dimensions. The API accepts named flood-event and county-code filters, while FEMA also publishes reusable CSV and Parquet files. This supports observed historical NFIP insured flood-loss patterns by geography and observation period. Preserve the selected geography, event and window and the dataset as-of date, and label amounts as paid NFIP programme claim values; do not interpret them as all-market insured loss, total economic damage, or inflation-adjusted loss.
The unrestricted NOAA HazEL product returns historical significant volcanic events for arbitrary geographic targets with event dates, volcano identity and coordinates, VEI, a documented significant-event inclusion threshold, direct eruption damage in millions of event-time US dollars, associated total damage, and houses-destroyed and casualty aggregates. Treat it only as selected significant-event evidence, not a complete eruption catalogue, prospective hazard, insured loss, building-level damage, or proof that linked tsunami/earthquake events caused combined effects. Preserve the DOI/query and retrieval date as the answer's as-of pin.
The non-contributory SHELDUS v24 product lets registered corporate and institutional buyers make unrelated-target reusable CSV queries of U.S. county-level hazard events and losses by geography, peril, time period, output resolution, and inflation base year. Outputs carry event dates, hazard, county and FIPS, direct property damage, adjusted damage, database version, and release date. Property damage is direct damage, not insured loss; crop indemnity is separately identified.
The standing NOAA event/runup product returns dates and geography for catalogued tsunami events and observations together with tsunami-specific and total reported direct damage in millions of nominal event-time US dollars, houses damaged or destroyed, and casualty effects. It therefore supplies useful historical tsunami direct-damage and effects context by geography and observation period. Treat missing optional values as unknown; do not characterize reported damage as insured loss or inflation-adjusted loss, and do not infer catalogue completeness, a stable inclusion threshold, or immutable revisions. Preserve peril, event or window, geography, DOI 10.7289/V5PN93H7, query, API schema, and retrieval date, and state the heterogeneous historical-reporting limitation.
The non-contributory public v21.21 archival CSV and JSON provide a fixed 1980-2024 U.S. history of threshold-qualified weather and climate disasters with event type and dates, affected state or territory codes, nominal and 2024-dollar total direct cost, uncertainty intervals, archive version, and revision date. Costs combine insured and uninsured direct loss, and event costs are not allocated among affected states.
The authenticated, non-contributory Natural Catastrophes dataset supports interactive historical catastrophe exploration by country, event year, and natural-catastrophe category and documents insured and total economic losses with reporting-currency, year-end exchange-rate, and inflation-adjustment concepts. Use it only for geographic, peril, and observation-period comparison; preserve the selected filters and retrieval date as the answer's as-of pin and label the loss basis. Current public material does not establish a complete event universe, current inclusion thresholds, or auditable estimate-revision mechanics.
Related questions
Under Catastrophe loss potentialNeed Historical catastrophe loss patterns answered at scale?
We will test these sources on your own records, show you match and fill rates, then handle the contract, security review, and delivery into your stack.