The Miscalculation Called Nini: The Number That Hides Half of Mexico's Youth Labour

The Miscalculation Called Nini: The Number That Hides Half of Mexico's Youth Labour

Hook

According to the OECD's latest Panorama de la Educación 2026, the share of young Mexicans who are neither in education, employment, nor training fell from 23 percent to 19 percent over a decade. That four-percentage-point decline is the headline. But when I worked down through the layers of the number, I found the headline was only one part of the picture. Buried inside that 19 percent is another figure that rarely makes the news: eight out of every ten people in this group are women.

The headline was the shape; the real story was the movement beneath it. The indicator announcing "progress" is the very thing hiding half of Mexico's youth labour.

Context

"Nini"—Spanish for "neither studies nor works"—has been part of Mexico's social vocabulary for roughly two decades. Its English equivalent is NEET. The category looks simple: a young person of a given age, usually 18 to 24, who is on none of the three tracks. But a simple classification is not automatically an accurate one—and that is the centre of this discussion.

In Mexico, "nini" has long functioned as a social alarm bell. The young are at risk, the future uncertain—the message travels through markets, politics, even inside households. The trouble is that the naming itself carries a structure of blame. The label implies the problem belongs to the young person, that they are sitting idle by choice. The underlying numbers tell a different story.

The OECD data rests on a strong institutional base. The report shows a four-percentage-point fall over a decade. But the comparison matters: the OECD member-country average for this indicator is 13 percent. Mexico therefore still sits six percentage points above the average—on the wrong side. A decade of "improvement" has not moved Mexico to the front of the race; it has merely narrowed the distance it was trailing by.

Core Analysis

The real story lies in the gender split. Among 18- to 24-year-olds, roughly three in ten women are NEET; for men it is one in ten. The female rate is about three times the male rate. This is the widest gender gap in the OECD. The figure looks harmless standing alone; beside the gender split it becomes uncomfortable.

This is where the philosophical flaw in the "nini" label surfaces. The definition says: does not study, does not work. But it never asks why. Mariana Belló, a specialist at Oxfam México, argues that a large share of that figure is women who stay home doing care work—cooking, raising children, looking after the elderly. This work is not counted as "work" economically, but in reality it is labour—unpaid, invisible labour.

A large part of that invisibility comes from the accounting system itself. National income, employment rates and labour-force participation usually count only what is traded in the market. Care work inside the home—which consumes hour after hour every day but earns no wage—does not enter the account. The same labour is "work" in the market and "no work" at home. That gap is not merely technical; it is political, because it decides whose labour is recognised and whose is not.

This is the indicator's biggest flaw. If a measure counts only market transactions and cannot count labour inside the home, it stamps a woman's entire day of effort as "inactivity"—even when that woman is the one holding the household together. Belló notes that this listing carries a stigma; the very word "nini" sounds negative.

Carla Pederzini, a specialist at Universidad Iberoamericana, points straight at the definition. In her view the classification is too broad—young people in very different situations fall into the same basket. Someone genuinely unable to find work, and someone tied down by family care duties, are both "nini." Policymakers make decisions from a single number, but cannot see the variety inside it. The cost of that blindness falls hardest on the group heard least—women who stay home.

There is a trade-off hidden behind the number. If unpaid care work were counted as economic activity, the "real" NEET rate for women would fall substantially. But to do that requires a framework that brings household work into the count—and building that framework is the real challenge. In Mexico, institutional infrastructure for childcare and elderly care is limited, so the burden lands inside the home, especially on women. This is precisely where Pederzini calls for investment in care infrastructure.

So where did the improvement come from? Here is an important fact. The OECD states the decline is not Mexico's alone—many countries have seen the rate fall. Reading the drop from 23 to 19 as an isolated Mexican policy success would be wrong. It is part of a larger regional or global trend, tied to shifts in labour markets, demographics and education participation. The record remembers what the quick news forgets—and the trend itself shows Mexico's number is not an isolated event.

Several causes likely drive that trend: rising education participation, a changing demographic structure, shifting patterns of informal work. But concluding from the falling number alone, without testing each cause separately, would be wrong. Each cause carries its own weight, and without measuring it the word "improvement" hangs in the air.

Contrarian Angle

A counter-question is needed. If the indicator itself is a faulty gauge—if it cannot count invisible household labour—then what exactly does "improvement" mean? Perhaps the rate fell partly because the classification changed, or because some young people genuinely returned to work. The difference is large: the first is a measurement problem, the second a policy success. The OECD data does not separate the two. I do not chase rumours; I trace the pressure that makes a decision inevitable—and here the pressure falls on the indicator and its method.

Another point: the expert testimony here is one-directional. Belló and Pederzini both criticise the "nini" label. The report carries no dissenting expert voice. It is true that parallel testimony from two institutions—Oxfam México and Universidad Iberoamericana—raises reliability, but it is also worth remembering that the question of whether the number can be read another way is never asked.

A statistical inconsistency also stands out. Belló says "eight out of ten" NEETs are women. The OECD figure says the rate is about 30 percent for women and about 10 percent for men. The two counts are close but not identical. The discrepancy likely comes from differences in age brackets, definitions or reference years. Before citing either figure, the original OECD tables should be checked—that is the methodological caution. When a measure becomes a target, it ceases to be a good measure; that old truth applies here word for word.

Takeaway

So which number matters more—the 19 percent, or the eight-tenths hidden inside it? The headline number tells a story of progress; the inner number tells a story of structure. And the structural story says Mexico's problem is not youth idleness—it is the way the economy refuses to count women's unpaid labour.

Three things are worth watching in the next OECD report cycle. One, whether Mexico's rate moves toward the 13 percent average. Two, whether the gender gap—now the widest in the OECD—narrows, because that will be the real test of investment in care infrastructure. Three, definitional reform—if the OECD or the ILO brings unpaid care work into the count, the headline number will change fundamentally. Until then, reading 19 percent as "success" will be the very error the number itself commits.