Insurance Information Institute (Triple-I) Research & Data

Datadory delivers multi-line insurance data covering the Insurance Information Institute (Triple-I) research corpus: explainers for auto, homeowners, life, business, cyber and workers compensation lines; Insurance Facts statistical tables across premiums, world markets, surplus lines, motor vehicles, crime and catastrophe chapters; State of the State market assessments — mapped to one field dictionary, delivered daily, weekly, or hourly.

What is the Insurance Information Institute (Triple-I) Research & Data?

The Insurance Information Institute (Triple-I) Research & Data corpus is everything the industry association behind “The Trusted Voice of Risk and Insurance” publishes: plain-language explainers for every major line — auto, homeowners and renters, life, business, cyber, workers compensation — article pages that embed their own charts (the social-inflation piece carries a personal-auto-liability loss series), Issues Briefs, and the flagship Triple-I Insurance Facts compendium: thousands of facts, figures, statistical tables and charts documenting the US property/casualty industry and worldwide markets, organized into chapters on Premiums, World Insurance Markets, Surplus Lines, Motor Vehicles, Crime, and Man-made Catastrophes by Peril.

Around the compendium sit two more streams worth having in the same table: the State of the State series of state-level P&C market assessments, and The Triple-I Daily briefing of industry insights, trends, data and statistics. Hundreds of public articles and guides, plus the deepest statistical layer in US insurance commentary — mapped by Datadory into one queryable shape.

Get a sample of this dataset scoped to your lines before you commit.

What do the first rows look like?

Three records, one per product family, exactly as the table returns them:

| ARTICLE_TITLE                                  | INSURANCE_LINE    | STATISTICAL_TABLE                                                              | CHART_ASSET                            | STATE_MARKET_REPORT |
| ---------------------------------------------- | ----------------- | ------------------------------------------------------------------------------ | -------------------------------------- | ------------------- |
| How legal system abuse drives social inflation | auto              | personal auto liability loss-ratio series                                      | p_personal_auto_liability_06122025.jpg | —                  |
| Triple-I Insurance Facts                       | property/casualty | premiums, world insurance markets, surplus lines, motor vehicles, crime, man-made catastrophes by peril | — | — |
| The Triple-I Daily                             | multi-line        | trend and statistic briefs                                                     | —                                    | —                  |

Same five columns whether the row came out of an article chart, a compendium chapter or a state report — which is the point. Multiply that shape across hundreds of articles and guides, the full Insurance Facts chapter set, and the State of the State titles, and you have a single join-ready surface for US multi-line insurance commentary instead of a bookmark folder.

What fields does each record carry?

Five fields define each record. Two locate the subject matter — the headline and the line of business it belongs to. Two carry the quantitative payload — the tabulated figures themselves (direct premiums written, loss ratios, combined ratios, catastrophe losses) and the chart graphic when the figure ships as an image. One pins the state-level view. The statistical_table field is the heavy lifter: it holds the numbers behind every compendium chapter, keyed back to its line of business.

How far does the coverage reach?

  • Geography: United States, national and state breakdowns, plus world insurance market summaries for global context.
  • Temporal: articles and briefings accumulate continuously; the Insurance Facts tables build through the year as the underlying official releases land, so recent-year figures arrive alongside the narrative around them.
  • Granularity: narrative articles with embedded charts at the top, statistical tables split by line of business and by state underneath.

How is the data delivered?

Your call, not ours: API, files, or your warehouse. Daily, weekly, or hourly.

Every delivery ships the complete field dictionary above, the sample rows, and the coverage profile — mapped and ready, with no integration archaeology on your side.

Who uses this data?

  1. Market researchers sizing US property/casualty lines and tracking loss trends — combined ratios and catastrophe losses by peril, straight from the industry's own statistical layer.
  2. Journalists and academics citing insurance statistics with confidence — the corpus is the default quotation source for US P&C figures, and the mapped table makes every citation retrievable.
  3. Product and strategy teams at carriers and insurtechs scanning line-level commentary and state market assessments to decide where a new product or territory case is worth building.
  4. Data scientists joining premium, loss-ratio and catastrophe series onto claims, portfolio or pricing tables keyed on line of business and state.

Where should you go next?

This corpus is industry-association research: what the market wrote about itself and the statistics behind the writing. It is not the whole picture. Regulatory filings and department-level publications live in the NAIC's resource center, economy-wide insurance and financial indicators sit in World Bank WDI, and the European equivalent of this commentary layer lives in the EU Open Data Portal. Pair them and association narrative meets regulatory record meets macro frame.

Which datasets pair well with this one?

Notes and adjacent reading:

Browse the whole vertical on the Multi-line Insurance industry hub or the ranked shortlist of the best multi-line insurance datasets.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary — the five fields carried by every record
FieldTypeDefinitionExample
article_titlestringHeadline of each explainer article, briefing item or issues briefHow legal system abuse drives social inflation
insurance_linestringLine-of-business category the content covers (auto, homeowners, life, business, cyber, workers compensation)auto
statistical_tabletextTabulated figures behind the research: direct premiums written, loss ratios, combined ratios, catastrophe lossespersonal auto liability loss-ratio series
chart_image_urlstringChart graphic embedded in an article, referenced as a hosted assetp_personal_auto_liability_06122025.jpg
state_market_reportstringState-level P&C market assessment in the State of the State seriesState of the State: Louisiana Property/Casualty Insurance Market

Questions buyers ask

What does one record in the Triple-I Research & Data table represent?

One published research item — an explainer article, a briefing edition, a state market assessment or an Insurance Facts statistical table — normalized into the five-field shape above: headline, line of business, tabulated figures, chart asset and state attribution.

Which insurance lines does the corpus cover?

Auto, homeowners and renters, life, business, cyber and workers compensation as dedicated explainer tracks, plus aggregate property/casualty statistics across the Insurance Facts chapters and world insurance market summaries.

What is inside Triple-I Insurance Facts?

Thousands of facts, figures, statistical tables and charts documenting the US property/casualty industry and worldwide markets, organized into six chapters: Premiums, World Insurance Markets, Surplus Lines, Motor Vehicles, Crime, and Man-made Catastrophes by Peril.

Does the data break down by state?

Yes. Statistical tables split along state lines, and the State of the State series carries dedicated market assessments per state — for example State of the State: Louisiana Property/Casualty Insurance Market.

Can Datadory scope a pull to my lines?

Yes. Send a line list, a set of states, or the topics you track — social inflation, catastrophe exposure, combined ratios — and the sample comes back scoped to them, mapped to the field dictionary and delivered by API, files, or your warehouse on the schedule you pick.

See the rows before you pay anything.

Name this dataset and we send real records from it — scoped to the fields you asked for.

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