Number, Not Noise: A Forensic Reading of the Kaduna Household-Mapping Model and the Politics of Nigeria’s Out-of-School Children Data

On 30 July 2026, the Minister of Education, Dr Tunji Alausa, announced that the Federal Government had adopted Kaduna State’s household-mapping methodology as the national framework for identifying Nigeria’s out-of-school children. The announcement was framed as a technocratic triumph: a shift from decades of reliance on broad estimates to data-driven, household-level verification. Kaduna’s exercise, the Minister said, had found fewer than 200,000 out-of-school children in the state, against a long-standing estimate of roughly 585,000. The Federal Ministry of Education, working with the National Bureau of Statistics, intends to replicate this model across all thirty-six states and the Federal Capital Territory.

On its face, this is unambiguously good news. Nigeria’s education planning has for too long rested on numbers whose provenance nobody can trace with confidence, and any serious attempt to know precisely where out-of-school children live, who they are, and what keeps them out of the classroom deserves support rather than reflexive suspicion.

But leadership requires more than applauding good intentions. It requires interrogating method, because in statistics, as in governance, the answer you get is only as trustworthy as the question you asked and the instrument you used to ask it. A reduction of roughly two-thirds in a single state’s out-of-school population, announced without the underlying technical documentation being placed before the public, is not merely a data point. It is a policy event with consequences for budgets, donor confidence, political credibility, and, most importantly, for millions of real children whose educational futures are being counted, or possibly miscounted, in this exercise.

This article examines the announcement against the backdrop of established international methodology, the peculiar demographic realities of northern Nigeria, and the political economy that surrounds education statistics in a country carrying the world’s largest absolute burden of out-of-school children. My purpose is not to accuse the Federal Government of manipulating figures. It is to insist, as any competent policy analyst must, that a number this consequential be earned through transparency rather than simply announced through a press statement.

The Announcement and What It Actually Claims

The Minister’s statement, issued through his Special Adviser on Media and Communications, credited Kaduna State’s household mapping exercise with identifying the exact number of out-of-school children, along with their locations and household affiliations. The Federal Ministry intends to use this same approach nationwide, in partnership with the National Bureau of Statistics, to replace estimate-based planning with verified household-level data.

Two things are worth separating immediately. The first is the principle of household mapping itself, which is methodologically sound and has been used successfully in various forms across the world to complement, not replace, other data sources. The second is the specific claim that Kaduna’s exercise reduced the figure from approximately 585,000 to under 200,000, and that this reduction represents a truer number rather than a narrower one. These are analytically distinct questions, and conflating them is where the risk lies. A good methodology poorly scoped can still produce a bad number, just as a flawed methodology can occasionally stumble on an accurate one. What matters is not the elegance of the announcement but the auditability of the process behind it.

Estimates Versus Counts: A Distinction That Matters More Than It Seems

There is a temptation, understandable in a political environment, to present estimates as inherently inferior to counts. But international statistical practice does not support such a simple hierarchy. The UNESCO Institute for Statistics, which produces the global out-of-school children figures that Nigeria’s own numbers are benchmarked against, explicitly combines administrative enrolment records, population projections, censuses, and household surveys rather than trusting any single source in isolation.

“By using multiple data sources, gaps are filled, data trends are smoothed, and we can draw consistent time series.” — UNESCO Institute for Statistics

That is a statement about triangulation, not about the superiority of any one instrument. This matters enormously for how Nigerians should interpret the Kaduna figures. A household enumeration exercise counts children who are physically present and registered within mapped households at a given moment. An administrative estimate typically aggregates enrolment shortfalls against population projections. A survey-based estimate captures self-reported attendance patterns. These three approaches can, quite legitimately, produce three different numbers, not because two of them are wrong, but because each is measuring something subtly different. The question policymakers must ask is not which number is true but which population each number actually captured. Until the Kaduna methodology publishes its definitions, its sampling frame, its treatment of non-response, and its age bands, the 585,000-to-200,000 comparison remains, in the strictest technical sense, a comparison of unlike quantities.

The Transparency Deficit: What the Public Has Not Been Shown

A credible national methodology of this magnitude should be accompanied by a technical paper answering a fairly standard set of questions that statisticians the world over expect to see before adopting any new instrument. What definition of out-of-school was applied, and across which age range. Whether the exercise was a full census of households or a sample survey extrapolated to state level. How many enumeration areas and households were actually visited, and what the response and non-response rates were. Whether children temporarily absent from their registered households, a common occurrence across Nigeria given patterns of fostering, seasonal migration and religious schooling, were captured at all. Whether the figure was independently validated by any party outside the state government that commissioned and benefits politically from the result.

None of this has yet been placed in the public domain. The Minister’s announcement described the outcome but not the instrument. This is the first and most fundamental red flag in the entire episode, not because it proves wrongdoing, but because it makes independent verification impossible. Public administration in a democracy runs on the principle that consequential government claims must be falsifiable by people outside government. A number that cannot be checked is, for all practical policy purposes, an assertion rather than a fact, regardless of how confidently it is delivered.

The Almajiri Variable: Why a Household Door Is the Wrong Starting Point

This is where the northern Nigerian context becomes decisive. A very large share of northern Nigeria’s out-of-school population is not sitting inside conventional households waiting to be enumerated. They are Almajiri children, most commonly boys between the ages of four and twelve, sent by their families, often from a different state entirely, to live and study under a Qur’anic teacher, or Mallam, in a Tsangaya or Qur’anic school compound. UNICEF’s long-standing estimate places the Almajiri population at roughly 9.5 million, historically representing more than seventy percent of Nigeria’s out-of-school children, though newer analyses suggest the figure may run anywhere from 9.5 million to 18.3 million depending on how the population is bounded.

In Sokoto State alone, stakeholders cite Almajiri concentrations ranging from 100,000 to 400,000 children living in conditions of extreme vulnerability. Northern governors themselves have publicly acknowledged that the North accounts for roughly fifteen million of Nigeria’s estimated eighteen million out-of-school children.

These children pose a specific and well-documented enumeration challenge. A household survey instrument is built, by design, around the question of who resides in a mapped dwelling as part of a family unit. An Almajiri child sleeping on a mat inside a Qur’anic school compound, a child rotating between a Mallam’s shelter and informal lodging in a shanty settlement, or a child who has been away from his biological family’s registered household for years, does not fit neatly into that frame. Does such a child get counted under his home household in Katsina, where his parents remain registered, under the Tsangaya compound in Kaduna where he now sleeps, or under neither, because the compound is not classified as a conventional household at all?

This is not a hypothetical difficulty. It is the single most consequential coverage question facing any household-based enumeration in northern Nigeria, and it is precisely the kind of gap that produces an artificially low count without any deliberate intention to deceive. A methodology can be executed with complete integrity and still undercount a population simply because its sampling frame was never built to find that population in the first place.

The Definitional Trap: Enrolment, Attendance, and Religious Education

A second and more politically delicate risk concerns definition. UNESCO’s statistical guidance distinguishes carefully between enrolment, which administrative data measure, and attendance, which household surveys measure, precisely because a child can be nominally enrolled while never appearing in a classroom, or informally engaged in some form of instruction while remaining outside the formal basic education system altogether.

Nigeria’s own education ecosystem includes children in conventional public and private schools, children in Qur’anic and Islamiyya education, children receiving informal religious instruction with no accompanying literacy or numeracy curriculum, and children enrolled on paper but chronically absent in practice.
If the household-mapping exercise, in classifying a child as in school or provided for, counted participation in purely religious instruction as equivalent to formal basic education, the resulting figure would fall dramatically, not because fewer children are excluded from foundational learning, but because the statistical category itself was quietly redefined. This is not to suggest that Qur’anic and Islamiyya education lacks value; it has sustained learning and moral formation in northern Nigeria for centuries, and dismissing it would be both inaccurate and disrespectful of a legitimate educational tradition. The point is narrower and more technical: religious instruction without access to literacy, numeracy, science and civic education is not, under the internationally recognised definition, equivalent to participation in formal basic education, and conflating the two produces a number that looks reassuring while leaving the underlying exclusion completely untouched.

What International Practice Actually Looks Like

It is worth being precise about how serious statistical agencies handle exactly this problem, because Nigeria does not need to invent a solution from scratch. UNESCO’s Institute for Statistics and the Global Education Monitoring Report jointly developed an improved out-of-school estimation methodology that deliberately combines administrative enrolment data, national population estimates, census results and household survey data such as the Demographic and Health Surveys and the Multiple Indicator Cluster Surveys, rather than privileging any single instrument. The explicit rationale offered by UIS Director Silvia Montoya when this methodology was unveiled was that pooling multiple sources fills gaps, smooths inconsistent trends across time, and produces a coherent series that no single source could generate alone.

The UNESCO-UNICEF Global Initiative on Out-of-School Children has, in parallel, emphasised that the objective of a good methodology is not merely to count how many children are excluded but to identify who they are and what specific barriers keep them out, a diagnostic function that a single household headcount cannot fulfil on its own.

This triangulated approach is the appropriate international benchmark against which the Kaduna model should be judged, not because household mapping is without value, but because household mapping alone answers only one of several necessary questions. A nationwide rollout that dispenses with administrative records, population denominators and dedicated enumeration of hard-to-reach populations in favour of a single household-based instrument would represent a step backward from, rather than an advance upon, established global practice, however modern and data-driven it may sound in a press statement.

The Arithmetic That Should Concern Every Policymaker

Consider the scale of what is actually at stake. UNESCO’s most recent Global Education Monitoring reporting places Nigeria’s out-of-school population somewhere between eighteen and twenty million children, within a global total that has now climbed to 273 million children and youth out of school worldwide, the seventh consecutive year of increase, with sub-Saharan Africa identified as the only region where the crisis is deepening rather than easing. Nigeria, alongside India and Pakistan, has for years occupied the unenviable position of hosting the largest absolute out-of-school populations on earth. Northern Nigeria alone is estimated to account for roughly fifteen million of that national total, driven overwhelmingly by insecurity, poverty, and the scale of the Almajiri system.
Against this backdrop, a single state exercise reducing its own figure by more than sixty percent, without published methodology, should trigger not applause but a rigorous reconciliation exercise before any national rollout proceeds. If the Kaduna approach, replicated nationwide, produced a similar proportional reduction, Nigeria’s official out-of-school figure could fall from roughly twenty million to under seven million almost overnight, a shift with enormous implications for donor funding formulas, Sustainable Development Goal reporting, budgetary allocations to basic education, and Nigeria’s own credibility in international statistical fora. Such a shift may, in fact, be entirely legitimate if the new methodology is genuinely more accurate. But it may equally be an artefact of a narrower sampling frame or a redefined category, and the consequences for the millions of real children affected are not symmetrical. An undercount that triggers reduced funding and complacent policymaking, while millions of Almajiri, displaced, nomadic and street-connected children remain invisible to the system, is a far more dangerous outcome than an overcount ever was.

The Political Economy of Education Statistics

Statistics are never produced in a political vacuum, and out-of-school children figures are no exception. This is illustrated starkly by recent scrutiny of the National Commission for Almajiri and Out-of-School Children Education, which received an allocation of roughly N22.82 billion in the 2026 national budget, a substantial share of which has reportedly been diverted toward constituency projects entirely unrelated to education, including road construction and ambulance procurement in states far removed from the northern Almajiri crisis it was meant to address.

Where budgetary allocations, donor confidence, and political credit are all tied to a headline figure, there is an inherent incentive structure around that figure, regardless of the intentions of any individual official. A smaller out-of-school number can be politically convenient: it can be presented as evidence that reforms are working, that previous administrations exaggerated the crisis, or that the country’s education emergency is smaller than international agencies have claimed. None of this proves that the Kaduna figure was engineered for political convenience. It does mean that the burden of proof for a number this consequential must rest with government, through published methodology and independent validation, rather than with citizens and analysts forced to take the announcement on faith.

A Reconciliation Framework Nigeria Should Adopt Before National Rollout

Rather than treating the Kaduna model as a finished national template, the Federal Ministry of Education and the National Bureau of Statistics should treat it as one input within a layered reconciliation architecture.

A Five-Layer Reconciliation Architecture

Household enumeration should continue, because it genuinely helps locate children within conventional family structures and should not be abandoned. It should be run alongside comparison against school administrative enrolment records, so that discrepancies between who is mapped and who is actually enrolled can be examined rather than assumed away.

A reliable demographic denominator, drawn from census and population projection data, is essential to establish the actual size of the relevant school-age cohort.

Dedicated, specially designed enumeration is required for populations a household survey structurally cannot find: Almajiri and Tsangaya populations, internally displaced communities, nomadic households, street-connected children, and residents of informal settlements.

The entire exercise should be subjected to independent validation involving the National Bureau of Statistics, the Universal Basic Education Commission, UNICEF, UNESCO’s Institute for Statistics, and Nigerian university-based statisticians with no political stake in the outcome.

This is not bureaucratic caution for its own sake. It is the only route by which Nigeria can move from a number that sounds impressive to a number that policymakers, donors, and citizens can actually trust and act upon.

The Question That Matters More Than the Headline Figure

Beneath all of this lies a single, decisive test that should guide how Nigerians evaluate the Kaduna model as it expands nationwide.

If a boy is sent from his family home in Katsina to study under a Mallam in Kaduna, sleeps within a Qur’anic school compound, and receives no access to literacy, numeracy or basic civic education, will the new methodology find him and count him as out of school, or will he simply disappear between two households, neither of which claims him on paper?

If the answer is yes, the Kaduna model, properly scaled, represents genuine progress. If the answer is no, or is not yet known, then the nationwide rollout is being built on an instrument that was never designed to see the very children Nigeria most urgently needs to find.

What Leadership Demands of This Moment

Nigeria’s decision to move from broad estimation toward more granular, household-level data collection deserves genuine credit, and this article should not be read as opposition to that ambition. The instinct to know precisely where excluded children live, and to design interventions around verified data rather than inherited guesswork, is exactly the kind of administrative discipline that Nigerian public policy has too often lacked. But good intentions do not substitute for methodological rigour, and a headline reduction of this magnitude, achieved through an instrument that has not yet been shown to the public, cannot yet be treated as settled fact.

The appropriate response from Nigeria’s leadership and policymaking community is neither uncritical celebration nor reflexive dismissal. It is to demand, before any nationwide rollout proceeds, the publication of a full technical methodology paper covering definitions, sampling frame, coverage of hard-to-reach populations, and independent validation arrangements.

Anything less risks converting a potentially valuable reform into a statistical sleight of hand, however unintentional, that leaves millions of Almajiri, displaced, nomadic and street-connected children exactly where the old estimates found them: present in the country, absent from the classroom, and now, worse still, absent from the count as well. Nigeria does not need a smaller number. It needs a truer one, and the distance between the two is measured entirely in methodology.

About the Author

Prof. Sarumi, a digital transformation architect and leadership strategist with over 40 years of cross-sector experience across Nigeria and the African continent, writes from Lagos.

References

Alausa, T. (2026). Statement on the adoption of the Kaduna household-mapping model for out-of-school children. Federal Ministry of Education, 30 July.

Blueprint Newspapers (2025, March 15). Almajiris, out-of-school kids: How we’re tackling menace, by FG, others.

Guardian Nigeria (2022). Nigeria now has 20 million out-of-school children, says UNESCO.

Nairametrics (2026, March 26). Out-of-school children rise to 273 million globally – UNESCO.
Pointblank News (2026, June 24). Northern Governors Seek End Almajiri System, Child Marriage.

Punch Newspapers (2025, October 22). Almajiri: Northern stakeholders seek end to street begging.

Punch Newspapers (2026, July 30). FG adopts Kaduna model to track out-of-school children nationwide. Reported by Deborah Tolu-Kolawole.

TheCable (2026). Who really profits from northern Nigeria’s almajiri problem?

UNESCO Institute for Statistics and Global Education Monitoring Report (2022). New methodology for estimating global out-of-school figures.

UNESCO Global Education Monitoring Report (2024). Out-of-school numbers are growing in sub-Saharan Africa.

UNICEF Nigeria (2020). Children adjust to life outside Nigeria’s Almajiri system.