Introduction
Nigeria knows it has a maternal health crisis. The numbers have been cited in reports, debated in policy circles, and presented at conferences for decades. Yet knowing the numbers and acting on them are two very different things and the gap between them is wider than most people realize. The problem is not just that maternal mortality in Nigeria remains devastatingly high. The deeper problem is that the data meant to drive solutions is broken, incomplete, and frequently lost in transit. Bad data costs lives. And in Nigeria, the cost is enormous.
The Numbers We Do Have Are Alarming Enough
Nigeria accounts for over 28% of all estimated global maternal deaths, with approximately 8,200 maternal deaths recorded and a maternal mortality ratio of 1,047 per 100,000 live births.1 A woman in Nigeria faces a 1 in 19 lifetime risk of dying during pregnancy, childbirth, or the postpartum period compared to just 1 in 4,900 in the most developed countries.2 These figures are staggering on their own. Yet they likely underestimate the true burden, as they are modelled approximations derived from incomplete and fragmented data systems with significant reporting gaps.
With only 43% of births assisted by a skilled provider, 39% taking place in a health facility, 59% delivered at home, and the remaining 2% occurring in transit or other settings, the majority of maternal experiences complications, near-misses, and deaths never enter any formal record. The data lifecycle for millions of Nigerian women begins and ends in silence.1
What Happens to the Data That Does Get Collected
For women who do access facility-based care, the data journey is fragile. A midwife records a complication in a paper register. That entry must travel from facility to ward, ward to local government, local government to state ministry, and state to federal level. At every handoff, quality degrades. Formats differ across states, digital systems are rarely interoperable, and overstretched health workers cannot always prioritize documentation alongside care delivery.
The consequence is a national picture assembled from incomplete pieces. Well-documented clinical drivers of maternal death hypertensive disorders at 29%, hemorrhage at 24%, and sepsis at 14.2%3 are known at the research level but rarely feed back to the facility managers and community health workers who need them most to adjust practice on the ground.
When Data Works, It Saves Lives
The solution is not more data collection for its own sake, it is a functional data lifecycle, where information collected at the bedside actually reaches the boardroom and comes back as action. Nigeria’s introduction of a free emergency caesarean section policy in late 2024, aimed at poor and vulnerable women at high risk of dying from lack of access to the procedure, 4 is a rare and welcome example of evidence translating into policy. It shows what becomes possible when data moves cleanly from problem to decision.
Investing in interoperable health information systems, standardized reporting tools, and analytical capacity at state and LGA levels is not a technical luxury. It is a prerequisite for saving lives.
Call for Action
Every unrecorded complication is a missed lesson. Every incomplete register is a policy built on guesswork. And every policy built on guesswork puts women at risk. Nigeria has the knowledge, the workforce, and increasingly the political momentum to close this gap. What the data lifecycle needs now is the same urgency we give to the crisis it is supposed to solve.
But urgency alone is not enough. Nigeria must move beyond fragmented reporting toward a coordinated national strategy for maternal health data strengthening. This means investing in interoperable digital health systems, standardizing maternal health reporting across states, strengthening civil registration and vital statistics systems, and equipping frontline health workers with the tools, training, and staffing needed to document care accurately and consistently. Data review mechanisms must also become routine at facility, LGA, and state levels so that information collected does not simply move upward but actively informs local decision-making and rapid response.
Development partners, policymakers, researchers, and health institutions must treat data quality not as an administrative exercise, but as a core maternal survival intervention. Because when maternal deaths go uncounted, they also go unanswered. And until Nigeria builds a system where every pregnancy, every complication, and every death is visible, preventable maternal deaths will continue to hide in the gaps between policy and reality.
Follow ACE Strategy and Consult for updates on our work strengthening health data systems and maternal health outcomes across Nigeria.
Writer’s Bio
Chidera Precious is a Senior Research Analyst at ACE Strategy and Consult Ltd, where she supports evidence generation and data-driven research across health and development programs. She is passionate about translating complex research findings into actionable insights that improve health outcomes for women and children in Nigeria.
References
1. Dogbanya G. Maternal Mortality in Nigeria: Holding the Line in Uncertain Times. Global Health. 2025;91(1):16–7. doi:10.5334/aogh.4710
2. Nigeria: Maternal and Newborn Health Country Profile – Healthy Newborn Network [Internet]. [cited 2026 Apr 21]. Available from: https://healthynewbornnetwork.org/resource/2023/nigeria-maternal-newborn-health-country-profile/
3. Hamal M, Hamal M, Hamal M, Dieleman M, Dieleman M, De Brouwere V, et al. Social determinants of maternal health: A scoping review of factors influencing maternal mortality and maternal health service use in India. Public Health Rev. 2020 Jun 2;41(1). doi:10.1186/s40985-020-00125-6
4. Dogbanya G. Maternal Mortality in Nigeria: Holding the Line in Uncertain Times. Ann Glob Health. 2025;91(1):16. doi:10.5334/AOGH.4710 PubMed PMID: 40161361.