Why Nigerian Insurers Are Flying Blind on Group Scheme Underwriting Data

As the NIIRA 2025 demands risk-based precision, the industry’s dependence on guesswork at renewal is a liability it can no longer afford. There is a peculiar ritual that plays out, largely unremarked upon, at the underwriting desks of Nigerian life and health insurers every renewal season. An employer submits a staff census i.e. names, dates of birth, cadre. 

A broker forwards the previous year’s claims summary, if one exists at all. The underwriter applies a standardised age-loading table, adjusts for industry classification and group size, and arrives at a premium. The policy is issued. The employer files the certificate. Everyone moves on.

What no one in that transaction can tell you, and with any confidence, is whether that workforce is healthy, deteriorating, or quietly carrying a cluster of undetected, high-cost conditions that will begin generating catastrophic claims in twelve to eighteen months. The premium is not wrong, exactly. It is simply uninformed.

This is the central structural weakness at the heart of Nigeria’s group health and group life insurance market: the near-total absence of pre-underwriting workforce health risk intelligence. And as the country’s new regulatory architecture takes shape, it is a weakness that will become increasingly expensive to ignore.

A Sector Growing Faster Than Its Data Infrastructure. Nigeria’s insurance industry is, by headline numbers, in robust health. In the first quarter of 2025, the industry’s total assets grew by 24.9% year-on-year, reaching ₦4.2 trillion, while Gross Premium Written surged by 63.4% to a record ₦769.2 billion, up from ₦470.7 billion in the same period the previous year. The sector’s momentum is real and should be acknowledged.

But momentum and maturity are different things. Despite improvement, insurance penetration in Nigeria remains around 5% of the population, with the industry’s assets still largely derived from a small number of corporate clients rather than broad public participation. In practical terms, this means that the group corporate schemes underwritten by Nigerian life and health insurers represent a disproportionately concentrated pool of risk – one where pricing errors are consequential, not marginal.

The problem is not the size of the market. It is the quality of the data feeding into underwriting decisions on those schemes.

The Risk-Based Capital Imperative

The enactment of the Nigerian Insurance Industry Reform Act (NIIRA) 2025 has sharpened this issue considerably. A key shift under NIIRA is the move to a risk-based capital framework, where an insurer’s capital requirements are based on its specific risk profile, requiring companies to have sophisticated financial and actuarial capabilities to accurately assess and report on risks like asset, underwriting, credit, and operational risks.

The NAICOM Commissioner for Insurance described NIIRA as “a modern rulebook for a modern market,” with the new legislation setting a minimum capital of ₦10 billion for life underwriting firms and ₦15 billion for general business — a significant upgrade from the former ₦2 billion and ₦3 billion requirements respectively.

Risk-based capital frameworks are only as effective as the underlying risk data informing them. An insurer holding a portfolio of group health schemes priced on demographic proxies and historical claims alone cannot accurately report on its true underwriting risk profile. It can report on what happened; it cannot tell a regulator what is coming. Under the old Insurance Act 2003, that distinction was largely academic. Under NIIRA 2025, and the annual actuarial investigations it now mandates, actuaries are empowered to investigate insurer operations, examine documents, request information, and report directly to NAICOM if access is denied — with potential penalties attaching to non-compliance. The standard has materially changed.

The Non-Communicable Disease Blind Spot. The urgency of this data gap becomes clearer when set against what we know about the health profile of Nigeria’s working population. Non-communicable diseases such as hypertension, diabetes, cardiovascular disease, dyslipidaemia, are no longer primarily diseases of older or retired Nigerians. They are embedded in the working-age population that group schemes are specifically designed to cover.

A community survey from Lagos found the prevalence of hypertension at 35.3%, dyslipidaemia at 47.1%, and diabetes at 4.6% among adults, with being employed identified as an independent predictor of dyslipidaemia. Research on civil servants in Oyo State found a high prevalence of cardiometabolic risk factors among the working class, with the clustering of NCD risk factors especially pronounced among female workers, highlighting the need for targeted preventive interventions in this population.

Critically, most of these conditions are undetected at the point of group scheme enrolment. Studies suggest that 37.1% of Nigerian healthcare workers suffer from hypertension, with only around 40% of hypertensive individuals on therapy, and healthcare workers are, by any measure, one of the more health-aware segments of the employed population. In a general corporate workforce, awareness and treatment rates are likely lower still.

This means Nigerian insurers are pricing group schemes against a morbidity pool they cannot see. Nigeria bears a significant share of productivity loss due to illness in low- and middle-income countries, with approximately 40% of the economic GDP loss attributable to non-communicable diseases. That burden does not disappear when someone is covered by a group health scheme. It simply converts into claims.

What Underwriters Do Not Know at Renewal. Standard group scheme underwriting in Nigeria relies on three inputs: the census data (ages and headcount), industry-level risk classification, and prior claims experience where it is available. Market rates in 2026 for group life typically range from 0.20% to 0.50% of aggregate sum assured per annum, depending on the workforce’s age profile, industry risk classification, group size, and the insurer’s underwriting appetite. Beyond that, the underwriter is largely guessing.

What is absent from this picture is prospective health risk data: lifestyle risk scores, chronic disease prevalence estimates, physical inactivity indicators, stress and mental health burden proxies, and sector-specific occupational risk factors. Without this, an insurer cannot distinguish between a 200-person financial services firm whose workforce is sedentary, hypertensive, and three years from a wave of cardiovascular events, and a demographically identical firm whose workforce health is genuinely low-risk. Both receive similar pricing.

 Only one of them is a profitable risk.

This is not a theoretical complaint. It is precisely the dynamic that drives adverse claims experience, renewal-rate volatility, and the kind of structural unprofitability that, compounded over a portfolio, erodes the underwriting margin that group schemes depend upon.

 Return on capital employed in the Nigerian insurance sector has been in decline since 2017, with structural problems in capital allocation and underwriting efficiency identified as contributing factors.

The Pre-Renewal Intelligence Gap

There is a narrow but consequential window – typically sixty to ninety days before policy renewal – during which a broker or underwriter can gather risk intelligence that would materially improve pricing accuracy. In mature markets, this window is used to conduct workforce health risk assessments: aggregated, anonymised, privacy-compliant snapshots of a group’s health risk profile that allow underwriters to price forward risk rather than backward experience.

In Nigeria, this window is largely unused. The mechanisms for gathering it systematically do not exist at the point of underwriting. The broker’s role is predominantly intermediary and transactional. The employer’s HR or occupational health function, where it exists, does not routinely produce data in a form that insurers can use. The result is a market where pricing is reactive and risk selection is blunt.

This gap is precisely the problem that platforms like WellNewMe are designed to address. WellNewMe operates as a proactive workforce health risk intelligence platform, enabling employers to conduct structured health risk assessments across their workforce and providing insurers and brokers with the kind of aggregated, pre-renewal risk data that moves group scheme underwriting from demographics-based approximation to evidence-based risk stratification. In a NIIRA-era environment where actuarial rigour is no longer optional, access to prospective workforce risk data of this kind shifts from being a differentiating feature to a baseline expectation.

The Regulatory Window Is Open — Briefly

The NIIRA 2025 creates an unusual opportunity. As insurers undergo recapitalisation, operational restructuring, and the transition to risk-based capital frameworks, the institutional appetite for better data infrastructure is higher than it has been at any point in the past two decades. NAICOM has stated that transparency in claims and solvencies is key to achieving absolute growth in the insurance industry. A principle that logically extends upstream to the data quality underpinning pricing decisions, not just the data quality informing post-loss reporting.

The Nigerian Insurers Association’s description of NIIRA as a “bold step toward public trust” similarly carries a data dimension that the industry has not yet fully articulated. Public trust in insurance is, at its foundation, trust that the product is fairly priced and that claims are managed consistently. Both of those commitments are harder to honour when the risk is being priced blind.

Insurance penetration in Nigeria is one of the lowest globally and closing that gap requires not just awareness campaigns or compulsory insurance mandates. It requires the industry to demonstrate pricing credibility: the ability to offer group scheme rates that reflect actual risk, reward low-risk employers, and do not penalise the market with actuarially unjustified premium loading driven by data poverty.

A Call to the Market

Nigerian insurers, reinsurers, and the brokers who serve them face a structural choice in the NIIRA era. They can continue to underwrite group health and life schemes using the same census-plus-claims methodology that has defined the market for decades, accepting the morbidity uncertainty and renewal volatility that accompanies it. Or they can invest in the upstream data infrastructure. Workforce health assessments, pre-renewal risk profiling, and longitudinal claims intelligence that would allow them to price group risk with genuine actuarial confidence.

The regulatory environment now rewards the second path. The epidemiological picture of Nigeria’s working-age population demands it. And the competitive landscape, as the industry consolidates under NIIRA’s recapitalisation requirements and global capital pays closer attention to Africa’s insurance markets, will increasingly distinguish between insurers who can demonstrate disciplined underwriting from those who cannot. Flying blind was manageable when the stakes were lower. The stakes are no longer lower.

Dr. Obi Igbokwe, WellNewMe, Co-founder, writes on workforce health policy and insurance market development in Nigeria and the United Kingdom.