Reinsurance Data Provider · Head-to-head
OECD Insurance Market Indicators (INSIND - Premiums, Penetration, Density) vs IRDAI Annual Reports (India Insurance & Reinsurance Statistics)
Which reinsurance data provider data fits your job: OECD Insurance Market Indicators, or IRDAI Annual Reports. API, files, or your warehouse. Daily, weekly, or hourly.
OECD Insurance Market Indicators (INSIND - Premiums, Penetration, Density)
IRDAI Annual Reports (India Insurance & Reinsurance Statistics)
Where the fields line up
No shared field names. These two answer different questions.
| Field | OECD Insurance Market Indicators | IRDAI Annual Reports |
|---|---|---|
COU | documented | not in this set |
Country | documented | not in this set |
IND | documented | not in this set |
Indicator | documented | not in this set |
TIME_PERIOD | documented | not in this set |
OBS_VALUE | documented | not in this set |
OBS_STATUS | documented | not in this set |
UNIT_MEASURE | documented | not in this set |
UNIT_MULT | documented | not in this set |
BASE_PER | documented | not in this set |
report_title | not in this set | documented |
financial_year | not in this set | documented |
Coverage, side by side
| OECD Insurance Market Indicators | IRDAI Annual Reports | |
|---|---|---|
| Geographic | `COU` ISO code plus `Country` name across 71 markets | No geography field - India by construction |
What each contains
Pick by fit, not by loyalty.
| OECD Insurance Market Indicators | IRDAI Annual Reports | |
|---|---|---|
| Observation identity | `COU` + `IND` + `TIME_PERIOD` (country, indicator, year) | `report_title` + `financial_year` |
| Observed value | `OBS_VALUE` - one typed numeric column for all 31,560 observations | Figures embedded in chapter tables (cession schedules, placements) |
| Units and scale | `UNIT_MEASURE` (percent / USD), `UNIT_MULT` multiplier, `BASE_PER` index base | Declared in table headings and footnotes inside each report |
| Geography | `COU` ISO code plus `Country` name across 71 markets | No geography field - India by construction |
| Segment split | `Indicator` labels encode Total / Life / Non-Life (e.g. VIII_3 Non-Life) | Life and Non-Life handled in separate chapters and sections |
| Quality signal | `OBS_STATUS` per observation - estimated, provisional, break in series | Corrigendum document covering 2018-19 and 2019-20 |
| Document metadata | Not applicable - the panel has no document layer | `file_size`, `archive_status`, `last_updated` |
What each does better
OECD Insurance Market Indicators
Breadth nobody else publishes. Seventy-one OECD member and partner economies carry the same 24 indicators on the same annual grid, so penetration in Germany reads directly against penetration in Japan without any normalisation work. The indicator estate covers total gross premiums, market share within the OECD, density per capita, penetration as a share of GDP, life insurance share, direct gross premiums per insurance-company employee and the retention ratio - every one cut by Total, Life and Non-Life segments. Reinsurance is why the record lives in this industry: the ratio of reinsurance accepted (VIII_1 Total, VIII_2 Life, VIII_3 Non-Life) contributes 3,999 observations, 3,720 of them non-zero, making INSIND one of the few cross-country panels that quantifies inward reinsurance acceptance as a share of domestic business. Foreign-controlled undertakings and branches of foreign undertakings get their own market-share indicators. Values arrive consistently typed: 22,090 observations in percent, 9,470 in USD, each row carrying its status flag.
IRDAI Annual Reports
Depth on one regulator's book. Where INSIND stops at country-year cells, the IRDAI shelf descends to insurer-level detail: chapters on GIC Re, India's domestic reinsurer, and on foreign reinsurance branches operating in India; obligatory cession tables; retrocession; cross-border reinsurance flows; and insurer-wise reinsurance placements. Twenty-seven reports run from financial year 2006-07 through 2024-25 - six published bilingually (2007-08, 2009-10, 2010-11, 2011-12, 2015-16 and 2017-18), the largest single volume 70.3 MB (the 2019-20 report), the most recent the 2024-25 edition at 12.2 MB - and a corrigendum covering 2018-19 and 2019-20 belongs to the same set. Recency is the quiet advantage: INSIND's series ends at 2022 while the IRDAI archive reaches 2024-25. The reports anchor a wider statistics estate - monthly business figures, segment-wise data, handbooks on Indian insurance statistics, motor third-party data and claims sections - so the annual volume is the flagship document, not the whole library.
The verdict
Verdict: sample both. They are not substitutes and rarely even compete. INSIND answers every question phrased as "where does market X stand against peers": penetration as a share of GDP, density per capita, retention ratios and reinsurance accepted across 71 economies on a common annual grid. IRDAI Annual Reports answers every question phrased as "how does India actually work": what cession is obliged, who accepts it, how much flows cross-border and where GIC Re stands, financial year by financial year to 2024-25. If a project touches Indian reinsurance at all, the second is mandatory and the first makes it credible; if the project spans markets, the roles reverse.
Sample both, pick by fit. See OECD Insurance Market Indicators · See IRDAI Annual Reports
Fair questions
Is OECD Insurance Market Indicators (INSIND - Premiums, Penetration, Density) better than IRDAI Annual Reports (India Insurance & Reinsurance Statistics)?
Different instruments for different questions. INSIND wins whenever the question crosses a border: 24 indicators on one annual grid for 71 countries, including the ratio of reinsurance accepted (3,999 observations). The IRDAI shelf wins whenever the question is India-specific: obligatory cession tables, GIC Re chapters, foreign reinsurance branches and insurer-wise placements down to financial year 2024-25.
Which dataset covers more recent years?
The IRDAI archive reaches further: its most recent report covers financial year 2024-25, with the 2023-24 volume also in the set. INSIND's captured series ends at 2022, which positions it as structural context and peer benchmarking rather than current-market monitoring. Together they bracket the gap: benchmark history from 1983, Indian regulatory detail to 2024-25.
Do the two datasets overlap anywhere?
On three concept families: gross premium volumes, retention behaviour and inward reinsurance acceptance. INSIND quantifies each for India alongside 70 other countries as comparable percentages and USD values; the IRDAI reports explain the Indian machinery behind those cells - obligatory cession requirements, GIC Re's position, retrocession and cross-border flows. Overlap is conceptual, not duplicated rows.
Which dataset should a reinsurance analyst sample first?
Let the unit of analysis decide. Comparing India's penetration, density or retention against OECD peers starts with INSIND's country-by-indicator-by-segment grid. Pricing a specific Indian placement, tracing cession obligations or sizing GIC Re's book starts with the IRDAI report covering the right financial year. Many desks start with INSIND for the frame and IRDAI for the mechanism.
Can Datadory deliver both datasets together?
Yes - they complement cleanly because they occupy different layers of the same market. A defensible workflow pulls INSIND for the 71-country benchmark grid and the IRDAI reports for India's insurer-level reinsurance detail, then reads one against the other after aligning calendar years to April-March financial years. Ask for a sample and both arrive shaped to your schema.