The children who look present on paper: what ASER and UDISE+ reveal about enrolment versus attendance in Bihar and Uttar Pradesh
Sahitya Krishnaswamy | Education policy researcher with experience in community-based survey methods
Official enrolment data in India is nearly universal. But enrolment and attendance are not the same thing, and attendance and learning are not the same thing. Finding the children who have truly fallen out of school requires looking in harder places than a register.
What the enrolment number actually counts
Nationally, enrolment for children aged 6 to 14 has stayed above 98 percent for years. ASER 2024 puts it at 98.1 percent. But ASER is a household survey, not a school survey: its volunteers visit homes, not classrooms, and on the day of that visit they record whether a child was actually present in school, not whether a child’s name sits in a register somewhere. By that measure, attendance in rural government schools was 75.9 percent in 2024, up from 73 percent in 2022 and 72.4 percent in 2018. Teacher attendance on the same visits was 87.5 percent. The distance between 98.1 percent enrolled and 75.9 percent present, on an ordinary day, is roughly 22 percentage points of children who exist on paper without reliably existing in the room.
An older ASER table, from 2018, shows how unevenly that gap falls. Gujarat, Maharashtra, Karnataka and Tamil Nadu recorded attendance above 85 percent. Uttar Pradesh, Bihar, West Bengal, Madhya Pradesh and Manipur recorded attendance below 60 percent. A child in one state has a meaningfully different chance of being counted honestly than a child in another.
Why the enrolment number is sometimes bigger than the truth
Some of the gap is not absence. It is fabrication. In 2016-17, the government made Aadhaar mandatory for claiming mid-day meal funds, and the numbers it uncovered were stark. Andhra Pradesh found that 2.1 lakh of the 29 lakh children on its government school rolls did not exist. Jharkhand struck off 2.2 lakh names. Manipur removed 1,500. Across the three states, 4.4 lakh “ghost students” had been drawing meal funding for years without a single child behind the entry.
The correction did not stop there. From 2022-23, the Ministry of Education began collecting individual, Aadhaar-linked student data through UDISE+ instead of aggregate school-level counts. That single methodological shift removed duplicate and fabricated entries at scale, and national enrolment figures fell by 14.12 million children in one year. Officials later estimated that pre-2022 enrolment data had been overstated by 5 to 6 percent nationally, not because millions of children vanished, but because they had never been real rows in the data to begin with.
Bihar shows what that correction looks like at the state level. Enrolment there fell 23 percent between 2021-22 and 2024-25, from 2.74 crore to 2.11 crore children, and researchers attribute most of that fall to ghost-student cleanup rather than an actual exodus from school. But the cleanup does not make the state’s real problem disappear. Bihar’s upper-primary dropout rate, 9.3 percent as of UDISE+ 2024-25, remains among the highest in the country. The data got more honest. The underlying loss of children stayed real.
Where the missing children actually are, and why even the official count of them disagrees with itself
UDISE+ 2024-25 estimates that 46 to 47 million children aged 6 to 17, about 17 percent of that age group, are currently out of school across India. A separate government estimate, presented to the Lok Sabha for the narrower 6 to 13 age band, put the national figure at 1.17 million, of which 784,228, roughly a third of the national total, were in Uttar Pradesh alone. These two official numbers are not reconciled with each other. One counts a wider age range, one counts a narrower one, and the difference between them is itself a demonstration of the essay’s opening point: the official account of how many children have fallen out depends heavily on which official account you read.
Nationally, retention tells the same story from a different angle. UDISE+ 2024-25 records secondary-stage retention at 47.2 percent, meaning that of every 100 children who begin school, fewer than half are still enrolled by the end of secondary. Most of that loss happens quietly, one missed term at a time, long before a child is formally marked as a dropout.
What a school can do that a data correction cannot
A ghost student gets removed from a spreadsheet in Delhi. A child who has stopped coming gets found, if at all, by someone in the school noticing and acting on the noticing. The two most useful habits are unglamorous. First, cross-check the register against a physical headcount regularly, not only when UDISE+ certification is due, so a name that exists without a child attached gets caught in weeks, not years. Second, treat chronic absence, a child missing more days than they attend over a month, as a case to investigate rather than a statistic to average away, because that pattern is where genuine dropout usually announces itself before it becomes official.
WHAT TO DO:
Pick one class register this week and compare it against a same-day physical headcount; list every child on the register who was not in the room. For each child flagged as chronically absent over the past month, find out why, through a home visit, a phone call to a parent, or a conversation with a sibling still in school. Cross-check the mid-day meal headcount for the last month against classroom attendance for the same days; a mismatch here is often the fastest way to catch a name that exists on paper but not in class. Take the list of children not physically seen in 30 days to the School Management Committee and agree, by name, who will visit which family this month. Set a review date four weeks from today to confirm whether the specific children flagged this week are back in class or have been formally accounted for.
