Making the Varsity Cut: Who Plays High School Varsity Sports and Who Doesn’t
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AI Summary. Non-college workers ages 22–34 are experiencing historically low unemployment relative to their own two-decade range, outperforming college-educated peers on that relative measure. College graduates still hold an absolute advantage, with a 2.7% unemployment rate versus 4.7% for high-school-only workers.
Core argument: Non-college workers ages 22–34 are experiencing one of their strongest job markets in two decades, with unemployment rates near historic lows relative to their own 2003–present range, outperforming their college-educated peers on that relative measure.
The unemployment rate for workers ages 22 to 34 who never graduated from college has rarely been lower in the past two decades. To gauge how the job market has shifted for each cohort, [Gad Levanon, Burning Glass’s chief economist] compared current unemployment rates for the different groups with their own range of unemployment rates since 2003. The analysis included data through July. By that measure, the job market looks much better for blue-collar workers, including those in construction and on manufacturing lines, and manual-service workers. It is [however] still easier to find a job with a college degree. The unemployment rate for degree-holders in their prime working years—ages 25 to 54—averaged 2.7% for the 12 months ending in July - well below the 3.6% rate for workers with just some college education, and 4.7% for people with a high-school diploma only.AI Summary. Global student performance in mathematics and reading has declined sharply since 2018, with reading scores falling 14 points and math scores falling 9 points between 2022 and 2025 alone.
Core argument: The share of “hasty readers” — students giving fast, incorrect responses — nearly doubled from 7% in 2018 to 11% in 2025, with math showing a parallel rise between 2022 and 2025, signaling deteriorating effort and engagement rather than pure skill loss.
In math, performance remained close to the 2003 level up to 2018, then dropped sharply btw 2018 and 2025. Mean performance dropped by 9 score points in mathematics and about 14 score points in reading btw 2022 and 2025. Over the 2018-2025 period, the largest drops [in reading] were among the most advantaged 25% of socio-economic status, and the socio-economic gap with the most disadvantaged students reduced somewhat, by 11 points, on average across 35 OECD countries. In mathematics, the share of disadvantaged students scoring below proficiency Level 2 increased in previous cycles and remained high in 2025; among advantaged students, the share scoring below proficiency Level 2 increased, reaching 18% in 2025, about 4pp. Students’ reports of their motivation for learning and engagement with school also declined between 2022 and 2025. The proportion of “hasty readers” – those who gave fast and incorrect responses – increased by about five percentage points, on average, from almost 7% in 2018 to 11% in 2025. Analyses for math, also show an increase in the proportion of hasty responses between 2022 and 2025.AI Summary. The narrowing unemployment gap between young college graduates and non-graduates reflects rising labor force dropout among non-graduates, not equal job market outcomes; the share of young non-graduates who are employed is 1.7 percentage points below pre-pandemic levels and falling, while graduates are near recovery.
Core argument: The narrowing education-unemployment gap among young adults reflects labor force withdrawal by non-degree holders—not diminished diploma value—as workers who stop seeking jobs are excluded from unemployment calculations.
The narrowing of [the unemployment gap btw college and non-college workers] in recent years has lent support to narratives that college diplomas are losing their value amid the rise of large language models, the purported return of blue-collar work, and other job market changes. But while it may well be that diplomas have lost value, the recent shrinking of the young-adult education-unemployment gap seems to be driven mainly by a different phenomenon. Growing numbers of young adults without college degrees simply aren’t trying to find work and thus aren’t counted in unemployment calculations. The employment-population ratio for young college grads is not far off from where it was just before the pandemic and seems as if it might be headed upward again after a sharp drop in 2023 and 2024, for non-grads it is 1.7 percentage points lower than before the pandemic and clearly trending downward.AI Summary. Emergency federal education grants during the pandemic did not measurably reduce student learning loss, partly because qualifying districts saw local revenues fall by ~$907 per pupil over three years — offsetting federal funds rather than supplementing them.
AI Summary. Black and Hispanic students make up 62% of New York City public school enrollment but receive only ~10% of seats at the city's eight most selective high schools, while Asian students—19% of public school enrollment—receive 57% of those seats.

AI Summary. U.S. student test scores have fallen across 83% of school districts in reading and 70% in math over the past decade, with declines affecting rich and poor districts equally. Reading scores were already falling as fast before the pandemic as during it, and recovery since has been slow.
Core argument: Reading scores fell in 83% of U.S. school districts vs. a decade ago, signaling workforce skill gaps that drive long-term.
Almost everywhere in America, students are performing worse than their peers were 10 years ago, according to new district-level test score data released by the Educational Opportunity Project at Stanford. Compared with a decade earlier, reading scores were down last year in 83% of school districts where data was available, and math scores were down in 70%. The declines have affected both rich and poor districts and crossed racial and geographic divides, [though the biggest losses have been among the lowest-achieving students]. From 2017 to 2019, students lost as much ground in reading as they did during the pandemic, and reading scores continued to fall at a similar rate through 2024. Education experts say there is no single reason for the declines. But the timing provides some clues. Students’ test scores had been increasing since 1990 — then abruptly stopped in the mid-2010s. That coincided with two events: an easing of federal school accountability under No Child Left Behind, which was replaced in 2015, and the rise of smartphones, social media and personalized school laptops.AI Summary. High school varsity sports participation reduces student absenteeism by ~20%, with absence rates falling further during active seasons, indicating the relationship is at least partly causal rather than purely a result of selection.
Core argument: Varsity athletes’ absence rates drop 1.37 pts below non-athletes’, a ~20% reduction that drives improved school engagement year-round.
We find that varsity sports participation is strongly associated with better student attendance, and we argue it is plausible that varsity sports participation causes better attendance. When we control for a number of factors that we know matter for both sports participation and attendance, we continue to find that varsity athletes are absent less often than their peers across the entire year. Across the school year, athletes’ absence rate was 1.37 points lower than non-athletes’. That’s a reduction of almost 20%. The broad pattern shown in Table 1 is that students from more advantaged groups were more likely to participate in varsity sports and less likely to be absent from school. It’s thus no surprise that, in the raw data, there is an association between playing varsity sports and having good attendance (Figure 3). But is that because students who attend school more reliably are more likely to play sports or because playing sports leads to better attendance? One way to tease out the answer is to compare varsity athletes' attendance during their sports seasons with their attendance the rest of the year. Not only do varsity athletes have lower annual absence rates—especially unexcused absences—than non-athletes, but [Figure 3 and Figure 4] show that their absence rates fall further when their sport is in season, [which suggests at least some causal effect].