EIOPA Tools and Data Hub

The European Insurance and Occupational Pensions Authority runs one front door for its whole data framework, and this is it. At the August 2026 research pass the hub listed roughly 20 named tools and data products: six Solvency II statistical product families covering balance sheets, own funds, premiums and claims, asset exposures and long-term guarantee measures; supervisory reporting resources built on the DPM (Data Point Model) and XBRL taxonomies; the Catastrophe Data Hub with its Centre of Excellence; the Insurance Risk Dashboard; the natural catastrophe protection gap dashboard; and a directory indexing about 30 national registers of insurance intermediaries.

Two things make it worth engineering against rather than browsing. First, the statistical families are harmonized by design - every figure maps to a named Solvency II reporting template, so a German balance-sheet row and a Spanish one arrive in the same shape. Second, the intermediary layer is the only pan-European view that exists: IDD Article 3(4) leaves registers to national authorities, and EIOPA's directory is the thread that ties them together.

Get a sample of this dataset - name the templates, countries and fields you need and the slice gets cut to shape.

Entries exactly as captured during the August 2026 research pass - the four statistical families with their published windows, plus two of the directory-style products that round out the hub:

S.02.01 Balance sheet
  scope ............. solo and group
  vintage ........... quarterly solo series, 2016 Q3 - 2026 Q1
  files ............. XLSX, CSV

S.23.01 Own funds
  scope ............. solo and group
  vintage ........... annual group series, 2016 - 2024
  files ............. XLSX, CSV

S.05.01 Premiums, claims and expenses
  scope ............. solo and group
  vintage ........... quarterly solo series
  files ............. XLSX, CSV

S.06.02 Asset exposures
  scope ............. solo
  vintage ........... quarterly only
  files ............. XLSX

Insurance Risk Dashboard
  scope ............. market-wide risk view across the EEA
  kind .............. dashboard

Intermediary registers (IDD Art. 3(4))
  scope ............. hyperlinks to about 30 national registers
  kind .............. register directory

Read the spread the right way: the template-coded families are the analytical spine, harmonized across EEA countries at country level, while the dashboards and the register directory answer the questions tables cannot - who is authorized to intermediate where, and how wide the natural-catastrophe protection gap runs.

Six statistical product families make up the dictionary, every definition verified against the hub during the August 2026 research pass. Four carry published series windows and sit in the standard dictionary below.

Additional fields on request: S.22.01 Transitional and LTG measures (template S.22.01, annual only, solo level), cross-border premium statistics (annual, solo level), and the hub's market-wide series - occupational pension statistics, interest-rate term structures and the symmetric adjustment of the equity capital charge. Column-level naming is confirmed against live records when we prepare your sample, which is also where the mapping into your pipeline gets locked down.

• Geography: EU/EEA member states aggregated at country level; the UK drops out of reference dates after 2020.
• Temporal: solo quarterly 2016 Q3 - 2026 Q1 and solo annual 2016 - 2025; group quarterly 2018 Q2 - 2025 Q4 and group annual 2016 - 2024; legacy series reach back to 2005.
• Granularity: country-level aggregates by undertaking and group, keyed to Solvency II reporting templates.

Three axes, one framework: pick a template, pick a country set, pick a vintage. Few insurance-brokers sources in Datadory's pool of ten primary datasets offer a harmonized panel that spans the whole EEA.

API, files, or your warehouse. Daily, weekly, or hourly.

Choose the channel and the cadence; the slice arrives shaped to your schema rather than the hub's - template codes preserved, country labels normalized, and the register directory resolved into structured rows instead of a page of hyperlinks to chase across some 30 national authorities.

Ranked by fit in Datadory's persona tagging for insurance brokers:

1. Market Researchers & Consultants (relevance 3) - start EU insurance and pensions market research from the official statistics and registers sections rather than a search engine; patterns on market researchers use cases.
2. Developers & Data-Product Builders (relevance 2) - build Solvency II reporting or validation tooling against the DPM/XBRL resources; routed via developers builders use cases.
3. Data Scientists & ML Engineers (relevance 2) - one entry point to the reporting taxonomies and the statistical downloads turns feature-building into a pipeline step; see data scientists use cases.
4. Investors & Quants (relevance 2) - the risk dashboards and catastrophe products feed European insurance exposure work; context on investors quants use cases.
5. Journalists, Academics & Students (relevance 2) - trace statistics and registers back to their national supervisory sources; citation-grade provenance on journalists academics use cases.
6. Sales & Growth Teams (relevance 2) - prospect partner brokers through the national registers the hub indexes; plays on sales growth teams use cases.
7. Competitive Intelligence & Product Teams (relevance 2) - map the authorized intermediary landscape country by country; boards on competitive intel product teams use cases.

Three builds recur. First, Solvency II tooling: the DPM defines the data points and the XBRL taxonomies encode the filings, so validation and reconciliation rules can be written against the same model the supervisors use. Second, market-sizing panels: join the balance-sheet, own-funds and premiums families across EEA countries for a harmonized European panel - and pair the US side with Census County Business Patterns for NAICS 524210, a trade-off laid out on the County Business Patterns vs EIOPA Insurance Statistics comparison. Third, distribution mapping: the Article 3(4) directory turns roughly 30 scattered national registers into one intermediary landscape, as close to a single European broker universe as the regulation allows.

Against its own sibling the split is deliberate: EIOPA Insurance Statistics (EU/EEA) is the deep statistical cut of the same framework, while this hub adds the dashboards, the reporting taxonomies, the catastrophe products and the registers on top.

• EIOPA Insurance Statistics (EU/EEA) - the deep statistical cut of the same framework, when the job is the numbers rather than the whole toolbox dataset page.
• FCA Financial Services Register - Insurance Brokers & Intermediaries (UK) - the post-Brexit UK counterpart, firm-level permissions where the hub gives country aggregates FCA register page.
• NIPR National Insurance Producer Registry - Producer Database - the US producer-data counterpart for transatlantic panels NIPR producer database page.
• NAIC Map of 56 Insurance Jurisdictions - the US jurisdiction reference when the EEA country set needs a transatlantic frame NAIC jurisdictions page.

Full pool inventory sits on the insurance brokers data hub; the source itself gets its own EIOPA source profile.