Picture a school board meeting in early fall. The superintendent pulls up a slide: chronic absenteeism, down three points from last year. Board members nod. A local reporter files a story with the word “recovery” in the headline. For a moment, everyone in the room believes the hardest part is behind them.
It isn’t. Not for every family in that district — and not evenly.
A statewide average doesn’t describe who came back to school. It describes who came back fastest, wrapped in a number that makes everyone else invisible.
That’s the pattern a new FutureEd analysis of 27 states makes hard to unsee. Low-income students had higher absenteeism rates in every one of those states before COVID, and experienced sharper disruptions once the pandemic hit. Between 2018-19 and 2021-22, the average state saw chronic absenteeism among low-income students climb by more than 17 percentage points — compared with 13 points statewide. In all but one state, Nevada, the increase among low-income students outran the state average.
At TalkingPoints, we’ve spent years arguing that attendance recovery is a communication problem before it’s a curriculum problem or a transportation problem. This is the clearest evidence yet that most districts have been budgeting for it backwards — spreading engagement dollars evenly across a population that never fell behind evenly in the first place.
A four-point gap is not a rounding error
Four percentage points sounds small until you multiply it across an entire enrollment. The students furthest behind before the pandemic fell further behind during it, and have recovered more slowly since. The gap didn’t close as attendance improved — it hardened into the new normal.
The same analysis found the same pattern for English learners. In Alaska, Hawaii, Missouri, New Mexico, Oregon and Utah, English learner absenteeism remains more than 15 points above pre-pandemic levels. In Utah, the gap is 17 points, against a 9.5-point gap statewide. Before the pandemic, English learners weren’t consistently more absent than their peers in most of these states. By 2024-25, that was true in only six of the 27.
Two different student groups, two different risk factors, and the same shape of divergence. That should tell district leaders something about where the actual work is.
Recovery has a language line running through it
Income and home language aren’t separate variables here — they overlap in the families a district’s default channel reaches last. A newsletter mailed home in English, a portal that requires a login and a smartphone plan, a robocall that assumes fluent English on the other end: none of these were built with a low-income, multilingual household in mind, and the data suggests they aren’t reaching that household at the rate they reach everyone else.
This is where family engagement stops being a soft add-on and becomes the intervention. A separate analysis found that the most chronically absent students are driven primarily by unexcused absences, not excused ones — meaning outreach and relationship-building do more work than broad campaigns aimed at everyone equally. If unexcused absences concentrate among the families a district’s default systems weren’t built for, the fix isn’t a louder campaign. It’s a different channel.
TalkingPoints’ own two-year study of 33,987 students found a 12% increase in high school attendance and a 43% drop in suspensions in early and middle grades, with effects holding for Black students, Latino students, English learners, and economically disadvantaged students specifically — not just on average. Dr. Karen Mapp, the Harvard family engagement scholar who advises TalkingPoints’ research, has long argued that engagement gains disappear when measured only in aggregate. This data shows exactly why that caution matters.
Where the model already works
Rhode Island is the state FutureEd points to as the exception. Through detailed, daily school-level data and a coordinated push involving the governor’s office, mayors, hospitals and business leaders, several student groups didn’t just recover — they surpassed pre-pandemic attendance levels. The lesson wasn’t a new curriculum. It was disaggregated data paired with sustained, targeted outreach.
Delaware’s district data tells the harder version of the same story. The state cut its overall rate by 8.6 points since 2022, yet the gap for economically disadvantaged students has held near 14.7 points. In Colonial School District, where an initiative links attendance data with primary care records, the gap narrows to 11.5 points — smaller, but still real.
Tulsa Public Schools saw a statistically significant improvement in attendance after adopting TalkingPoints’ two-way, translated messaging — proof the same approach works at the district level, not just the state level. None of these examples required more money spent everywhere. They required the same dollars spent first where the gap was widest.
Where the next engagement dollar should go
If your district’s dashboard reports one number, that number is already hiding the decision you need to make. Before the next budget cycle, disaggregate the data FutureEd used — income, English learner status, race — and ask where your own 17-point gap is hiding inside your 13-point headline.
Three things should come before anything else:
- Language access has to sit at the point of first contact, not arrive as a translated newsletter weeks after a family already missed the information that mattered.
- Delivery has to work without an app, a login, or a data plan, because a text message reaches a family a portal never will.
- Outreach has to be proactive rather than reactive, using early attendance signals — the kind AEI’s Absence Forecast tool can flag with 88-92% accuracy from just four data points — instead of waiting for a pattern to become a crisis.
This is the ground TalkingPoints was built to cover: human-translated, two-way messaging in more than 150 languages, delivered by SMS to any phone, with a proprietary K-12 glossary that gets terms like “referendum” right in languages raw Google Translate still gets wrong. As the only nonprofit platform in this space, TalkingPoints has no shareholder pressure pushing it toward the families that are easiest to reach instead of the ones who need reaching most.
The statewide number will keep going down. That was never really in question. What’s in question is whether your engagement budget follows the families the average was built to obscure, or keeps spreading itself thin across a recovery that was never actually shared.
If you’re planning next year’s attendance strategy around a single dashboard number, it’s worth asking whose recovery that number describes — and whether your attendance improvement dollars are following the 17-point gap or the 13-point headline.
Sources & Further Reading
- Chronic Absenteeism by Income, English Learner Status, and Race. FutureEd, 2026.
- Chronic Absenteeism Trends in 27 States by Income, English Learner Status & Race. The 74, 2026.
- Delaware Cut Chronic Absenteeism 8.6 Points Since 2022. The Gap by Income Hasn’t Closed.. EdTribune DE, 2026.
- AEI Absence Forecast tool. American Enterprise Institute, 2026.
- TalkingPoints ESSA Tier 2 causal study (n=33,987). TalkingPoints.
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