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Common Wealth Development

Five Mornings in Madison

Five households. Five alarm clocks. The same city.
What determines whether a child makes it to school today?

Madison Equity Atlas · Dane County, Wisconsin · 2026
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In Madison, Wisconsin, nearly one in three public school students misses more than 10 percent of the school year.1 The district's chronic absence (CA) rate of 29.6 percent is classified as "High" severity by state standards. But that number is an average. Averages hide the geography beneath them and mask the household circumstances that produce them.

The Madison Equity Atlas maps 22 data layers across 125 census tracts and 54 schools to show where structural conditions converge to keep children out of school. This document tells the story of five households — composites drawn from real tract-level data — to show what those conditions look like at 6:45 on a Tuesday morning.

Every statistic in this document is drawn from public data, processed in the Atlas. Every household represents a real neighborhood archetype. The names are invented. The numbers are not.

Each household is located using the Neighborhood Attendance Risk Index (NARI) — a composite score that synthesizes eight structural indicators (poverty, racial composition, youth population, transit access, housing cost burden, uninsured rate, eviction filings, and health care shortage) into a single 0–100 percentile ranking for each of Dane County's 125 census tracts. Tracts scoring in the 80th–100th percentile are classified as "Critical"; those below the 20th percentile are "On-Track." The NARI is the Atlas's primary lens for identifying where structural risk concentrates.

Household One

The Garcias

South Madison · NARI 97th percentile · Critical tier

Maria Garcia wakes at 5:40. Her shift at the food processing plant starts at 7:00. Her two children, ages 6 and 9, attend an elementary school 2.3 miles away. There is no before-school childcare in her census tract — it is designated a childcare desert, with zero licensed providers within walking distance.2 The nearest bus stop is a 12-minute walk, and during the AM peak, buses arrive fewer than 2 times per hour.3

On mornings when the bus is late or the walk takes too long, Maria faces a choice: leave the children home with a neighbor's teenager, or arrive late to work. A third late arrival this month means a written warning. She chooses work. The 6-year-old misses first period. By December, she has missed 14 school days.

Maria earns $38,000. Her neighborhood's median household income is $42,000, placing it in the lowest income bin in the Atlas. Schools serving neighborhoods below $45,000 median income show an average chronic absence rate of 27.8 percent — compared to 17.6 percent in neighborhoods above $100,000.4

Research Question
Does transit access predict whether children show up to school?
The Atlas analyzed transit frequency across all 51 MMSD schools with sufficient data. The direct correlation between transit frequency and chronic absence is weak (r = -0.05), but the equity dimension is sharper: adding 4 or more trips per hour to the 31 tracts with zero bus stops is associated with a 5.2 percentage-point reduction in chronic absence.3
<2
Bus trips per hour in Maria's tract
31
Tracts with zero bus stops
-5.2%
Estimated CA reduction (percentage points) with 4+ trips/hr added
Sources: Madison Metro Transit GTFS (March 2026); Atlas RQ 2.1 transit-absence analysis, 51 schools.3
Research Question
Do childcare deserts affect elementary school attendance?
The Atlas identifies 86 childcare desert tracts in Dane County — tracts with more than 3 children under 5 per licensed slot, or zero providers. Elementary schools in desert tracts show a chronic absence rate of 23.5 percent, compared to 21.3 percent in non-desert tracts. After controlling for income, each additional childcare provider is associated with a 2.1 percentage-point reduction in chronic absence.2
86
Childcare desert tracts in Dane County
-2.1%
CA reduction (percentage points) per added childcare provider
Sources: WI DCF, HIFLD childcare data; ACS B09001 (children under 5); Atlas RQ 2.2, 31 elementary schools.2
What would help

MMSD already provides free Madison Metro bus passes for high schoolers who live more than 1.5 miles from school and qualify for Free and Reduced Meals, plus universal free summer passes for grades 6–12. But Maria's children are in elementary school, and the school-year passes are need-based and grade-limited. The issue is not fare — it is frequency. If her tract had 15-minute bus headways during AM peak and an on-site childcare provider at her children's school, the Atlas estimates her neighborhood's chronic absence rate could decline by 5 to 7 percentage points.3,5

If these levers were pulled

Three interventions have demonstrated measurable effects on attendance in conditions like Maria's:

Madison Metro is in an active service planning cycle, and MMSD already invests in student transit (need-based school-year passes, universal summer passes, yellow bus for K–8 beyond 1.5 miles). What remains unaddressed is AM-peak frequency in the 31 tracts with zero bus stops and before-school childcare at elementary sites. These are the gaps the Atlas measures — and the gaps where precedented, evaluated interventions exist.

· · ·
Household Two

The Johnsons

Allied Drive corridor · NARI 99th percentile · Critical tier

Terrence Johnson received an eviction filing in October. The filing did not result in removal — most don't — but it triggered a forced move. He and his daughter, a seventh-grader at a nearby middle school, relocated to a cousin's apartment on the east side, doubling up in a two-bedroom. His daughter transferred schools in November.

In their old tract, the eviction filing rate is 5.12 per 100 renter households — more than double the Dane County average of 2.06.6 The cost burden in that tract is 17.7 percent, meaning nearly one in five households spends more than 30 percent of their income on housing.7 In Dane County, 51 percent of eviction defendants are Black, despite Black residents representing 5.8 percent of the county population.8

His daughter missed 18 school days during the transition. By the time she enrolled at her new school, she had fallen behind in math and stopped attending advisory period.

Research Question
Does housing instability predict chronic absence?
The Atlas combines cost burden and eviction filing rates into a Housing Stress Index. Schools in high-eviction tracts show a chronic absence rate of 30.5 percent, compared to 24.7 percent in low-eviction tracts — a 5.8 percentage-point gap. The racial dimension is stark: Black students in high-eviction tracts have a chronic absence rate of 46.4 percent; White students in the same tracts, 18.2 percent.9
5.8%
CA gap (percentage points): high vs. low eviction tracts
28.2%
Black-White CA gap (percentage points) in high-eviction tracts
1,279
Homeless students in MMSD (52.1% Black)
Sources: Princeton Eviction Lab (2015-2017); ACS B25106 (2023); Atlas RQ 2.3 housing-absence analysis, 51 schools.6,7,9
Research Question
When cost burden and eviction co-occur, do the effects compound?
Yes. The Advanced Analytics Viewer's interaction analysis finds that neighborhoods experiencing both high housing costs and high eviction rates see chronic absence rates 12.5 percentage points higher than what either factor alone would predict. This is a compounding effect, not an additive one. A transit pass without housing stability, or stable housing without transit access, produces insufficient results.10
+12.5%
Compounding interaction (percentage points): cost burden + eviction
Source: Advanced Analytics Viewer, Interaction Effects tab; bootstrap CIs, 2,000 iterations, seed=42.10
What would help

If Terrence had been in a Common Wealth Development (CWD) affordable housing unit, the eviction filing would not have occurred. CWD manages 165 affordable housing units in and adjacent to priority tracts.5 Stable housing is attendance infrastructure. The Atlas estimates that reducing eviction rates to the county median in affected tracts would remove the primary source of forced school transfers for hundreds of families. Dane County's eviction diversion program targets these geographies, but coverage remains incomplete.8

If these levers were pulled

The research base on housing stability and attendance is among the strongest in the field:

If eviction filing rates in the 14 priority tracts fell to the county median of 2.06 per 100 renter households, the Atlas model projects hundreds fewer forced school transfers annually — each one representing 10 to 20 school days a child does not lose to relocation.6,9

· · ·
Household Three

The Larsens

West side · NARI 3rd percentile · On-Track tier

Sarah Larsen is a project manager. Her husband teaches at the university. Their combined household income is $165,000. Their 10-year-old walks seven minutes to an elementary school where the chronic absence rate is under 13 percent. There are two licensed childcare centers within a half-mile. The nearest bus stop, three minutes away, sees a bus every 8 minutes during AM peak.

When their son is sick, Sarah works from home. There is no forced choice between employment and caregiving. Their neighborhood's poverty rate is 1.1 percent. Their eviction filing rate is 0.09 per 100 renter households.6 They have not thought about housing instability because it has never happened to them.

The Larsens live 6.2 miles from the Johnsons. They live in the same school district.

Research Question
Is there an income threshold where attendance stabilizes?
The Atlas documents a $100,000 median household income threshold. Below it, chronic absence rises sharply. Above it, attendance stabilizes. The steepest tipping point occurs at a tract poverty rate of 8.8 percent: below 8.8 percent, poverty shows minimal association with attendance; above it, every additional percentage point corresponds to measurable attendance loss.4
$100K
Income threshold for attendance stability
10.4%
CA gap (percentage points): lowest vs. highest income quartile
8.8%
Poverty rate tipping point
Sources: ACS 5-Year Estimates (2022); Atlas RQ 1.2 income threshold analysis, 51 schools, Pearson r = -0.23.4
What this household reveals

The Larsens do not need an intervention. They need to see the Atlas. Their neighborhood's structural advantages — transit, childcare, housing stability, income — produce attendance rates that look like personal virtue but are, in fact, infrastructure. The gap between the Larsens and the Garcias is not one of effort. It is one of bus schedules, eviction filings, and licensed childcare slots.10

Why stacking interventions matters

The Larsens receive every intervention simultaneously — by default. The evidence says that is exactly why it works:

The Larsens' neighborhood delivers the full stack. Policy should aim to deliver it everywhere.

· · ·
Household Four

The Abdi Family

East side · NARI 82nd percentile · Critical tier

Amina Abdi's three children attend schools at three different levels — elementary, middle, and high. Her eldest, a sophomore, has missed 34 days this year. In MMSD, Black high school students have a chronic absence rate of 59.9 percent.11 Her younger children's attendance is better, but declining: the elementary child's rate is 42.8 percent, already above the district average for all students.11

Amina's tract carries federal Health Professional Shortage Area designations in all three categories: primary care, mental health, and dental care.12 Her eldest has not seen a therapist in eight months despite an anxiety diagnosis, because the nearest provider accepting her insurance has a four-month waitlist. When the anxiety peaks, he stays home. His school marks it as an unexcused absence.

Amina earns $62,000. Her neighborhood's median income is $58,000. She is not poor by federal definitions. Her family's attendance outcomes look like those of families earning half as much.

Research Question
Does the racial gap in chronic absence persist after controlling for income?
A 25.8 percentage-point Black-White chronic absence gap persists after controlling for income. The 95 percent confidence interval, computed across 1,000 bootstrap iterations, is 25.07 to 34.77 percentage points. Even in Madison's least economically stressed schools, the gap holds. Income-targeted programs without an explicit racial equity component will not close it.13
25.8%
B-W gap (percentage points) after income control
47.9%
Black student CA rate (district)
16.7%
White student CA rate (district)
Sources: WISEdash 2024-25; Atlas RQ 1.5 race-income proxy analysis, 44 schools, bootstrap n=1,000.13
Research Question
When in a child's schooling does attendance collapse?
The transition from middle to high school is the critical failure point. Black students go from 45.3 percent chronic absence in middle school to 59.9 percent in high school — a 17 percentage-point spike. Economically disadvantaged students jump from 38.3 percent to 58.0 percent. By high school, chronic absence exceeds 50 percent for Black, Hispanic, and multiracial students.11
+17.0%
Black CA increase (percentage points), middle to high school
59.9%
Black high school CA rate
+19.5%
Hispanic CA increase (percentage points), middle to high school
Sources: WISEdash 2024-25 certified data; Atlas Research tab, attendance pipeline analysis.11
What would help

Amina's son needs a therapist, not a truancy notice. MMSD opened behavioral health clinics in all four high schools during the 2023–24 school year, providing in-school therapy for students with significant needs. This is a real investment. But the clinics serve students already enrolled and attending — they do not reach the student who has stopped showing up. And no full-service primary care, dental, or vision clinics exist in MMSD schools. All 14 priority tracts carry triple federal HPSA designations — primary care, mental health, and dental care.12 Expanding community-based behavioral health access beyond the school building is Demand 4 of the Atlas's six institutional demands. UW Health and the City Health Department are named. The timeline is 18 months. The metric is trackable year over year in the Atlas.14

If these levers were pulled

Race-explicit and health-access interventions with measured outcomes:

The 25.8 percentage-point racial gap that persists after controlling for income is not explained by poverty. It is explained by race-specific stressors: housing discrimination, concentrated eviction, health access deserts, and institutional distrust. Income-targeted programs alone will not close it. The interventions above address the transmission mechanisms.13

· · ·
Household Five

The Nguyens

Near south side · NARI 71st percentile · Severe tier

Linh Nguyen's daughter attends Lincoln Elementary. The neighborhood is classified as Severe-tier on the NARI — high poverty, moderate transit, elevated cost burden. The school's predicted chronic absence rate, based on its structural neighborhood context, is 30.8 percent. The school's actual chronic absence rate is 13.3 percent.15

Lincoln Elementary beats its prediction by 17.5 percentage points. It is one of four positive-outlier schools identified by the Atlas's regression model — schools whose attendance outcomes are significantly better than their neighborhoods would predict.15

Linh does not know why. She knows the principal calls when her daughter is absent. She knows the school provides breakfast. She knows there is a family engagement coordinator who speaks Vietnamese. She does not know that the school's practices are, according to the data, the most effective attendance intervention in the district.

Research Question
Are there schools that beat the odds?
The Advanced Viewer uses OLS regression to predict each school's chronic absence rate based on structural neighborhood factors. Schools with large negative residuals outperform their context. Four schools are positive outliers. All are elementary schools. Meanwhile, four of the five largest negative outliers are high schools — suggesting level-specific vulnerability the regression cannot capture.15
-17.5%
Lincoln Elementary: actual vs. predicted CA (percentage points)
-28.4%
Metro School: actual vs. predicted CA (percentage points)
+55.3%
Capital High: actual vs. predicted CA (percentage points)
Sources: WISEdash 2024-25; Atlas RQ 1.4 school outlier analysis, OLS residuals, 51 schools.15
What this household reveals

Lincoln Elementary demonstrates what is possible. Its practices — not its demographics — explain its outcomes. MMSD already operates eight Community Schools (Hawthorne, Kennedy, Lake View, Leopold, Lori Mann Carey, Mendota, Orchard Ridge, and Sandburg) that co-locate family services and community partners inside school buildings. But 8 of 30-plus elementary schools is not district-wide, and the community school model has not been paired with a positive-deviance analysis to identify which school-level practices actually drive attendance gains. The Atlas identifies positive-deviance schools as the natural sites for learning what works. UNICEF's 2024 Data Must Speak framework validates this methodology across 15 countries. No Wisconsin district has published a positive-deviance analysis of school attendance. CWD's application to a U.S. metropolitan area is novel.16

If these levers were pulled

Positive-deviance analysis reverses the deficit narrative. Instead of asking what is wrong with failing schools, it asks what is right with succeeding ones:

CWD is positioned to lead this work. The Atlas's regression-residual methodology, validated by UNICEF's Innocenti research office across 15 countries, identifies both where to invest and where to learn.16

Same City, Different Infrastructure

The five households in this document live in the same school district. Their children attend schools governed by the same board. The gap between them is not one of effort, values, or culture. It is a gap of bus schedules, eviction filing rates, childcare slots, therapist waitlists, and housing costs.

These are structural conditions. They are measurable. They are mapped. And they are changeable — by the institutions named in the Atlas's six demands, on the timelines specified, using the metrics tracked year over year.

The Madison Equity Atlas does not recommend. It measures. Measurement is the beginning of accountability.

Common Wealth Development · Madison, WI · 2026

Sources & Notes

  1. Wisconsin Department of Public Instruction, WISEdash Certified Data, 2024-25. MMSD district chronic absence rate: 29.6%; attendance rate: 89.32% ("Monitor" status, below the 93% "Strong" threshold). Data accessed via wisedash.dpi.wi.gov.
  2. Madison Equity Atlas, RQ 2.2: Childcare desert analysis. Wisconsin Department of Children and Families, Licensed Child Care Directories + HIFLD Child Care Centers national dataset (hifld-geoplatform.opendata.arcgis.com); U.S. Census Bureau, ACS Table B09001 (children under 5). 86 desert tracts, 39 non-desert. Income-controlled regression: childcare coefficient = -2.107 (significant), model R² = 0.178.
  3. Madison Equity Atlas, RQ 2.1: Transit-absence analysis. Madison Metro Transit GTFS feed (March 2026, transitdata.cityofmadison.com). 51 schools; r = -0.05 unadjusted. Policy scenario: adding 4+ trips/hr to 31 zero-stop tracts associated with 5.2 percentage-point CA reduction.
  4. Madison Equity Atlas, RQ 1.2: Income threshold analysis. U.S. Census Bureau, ACS 5-Year Estimates (2022); 51 schools, 6 income bins. Pearson r = -0.23; each $10K increase associated with 1.0 percentage-point lower CA. Tipping point at 8.8% tract poverty rate.
  5. Commonwealth Development portfolio data (March 2026): 165 affordable housing units, 43 business incubation units, 8 managed housing units in Madison, WI.
  6. Desmond, M., et al. Princeton Eviction Lab, Eviction Tracking System. Wisconsin tract-level data (GEOID prefix 55025 for Dane County; 2015-2017 baseline; monthly updates January 2020–March 2026). Dane County average filing rate: 2.06 per 100 renter households. evictionlab.org.
  7. U.S. Census Bureau, American Community Survey 5-Year Estimates, Table B25106 (Tenure by Housing Costs as a Percentage of Household Income), 2023. 125 Dane County census tracts.
  8. Tenant Resource Center, Demographics of Eviction in Dane County (Eviction Diversion and Defense Partnership, 2023 report). 51% of Dane County eviction defendants are Black; Black residents represent 5.8% of county population. Six block clusters (Allied Drive, Southdale/East Badger Road) account for the majority of filings. tenantresourcecenter.org.
  9. Madison Equity Atlas, RQ 2.3: Housing-absence analysis. Combined Housing Stress Index (cost burden + eviction filing rate). 51 schools; high-eviction tract CA: 30.5%; low-eviction: 24.7%. Black students in high-eviction tracts: 46.4% CA.
  10. Madison Equity Atlas, Advanced Analytics Viewer, Interaction Effects tab. Cost burden × eviction interaction: +12.5 percentage-point compounding effect. Bootstrap confidence intervals: 2,000 iterations, seed=42. All analyses correlational; framed as observed associations.
  11. Wisconsin DPI, WISEdash 2024-25 certified data. Chronic absence by race and school level. Black elementary CA: 42.8%; middle: 45.3%; high: 59.9%. Hispanic: 31.6%, 29.7%, 51.1%. Economically disadvantaged: 38.3% (middle) to 58.0% (high).
  12. U.S. Health Resources and Services Administration (HRSA), Health Professional Shortage Area designations, 2026-Q1 update. All 14 priority tracts carry federal designations in primary care, mental health, and dental care. HRSA data download: data.hrsa.gov. Madison Equity Atlas, RQ 2.4.
  13. Madison Equity Atlas, RQ 1.5: Race-income proxy analysis. 44 schools (10 suppressed for small N). Black-White gap after income control: 25.8 percentage points (95% CI: 25.07–34.77 percentage points, bootstrap n=1,000).
  14. Madison Equity Atlas Field Guide, Chapter 5: "What the Data Demands." Six demands with named institutions, specific asks, trackable metrics, and 18-month timelines.
  15. Madison Equity Atlas, RQ 1.4: School outlier analysis. OLS regression of school-level CA on tract poverty rate and % students of color. Positive outliers: Lincoln Elementary (-17.5 percentage-point residual), Metro School (-28.4). Negative outliers: Capital High (+55.3). Methodology adapted from UNICEF Innocenti positive-deviance framework.
  16. UNICEF Office of Research – Innocenti, "Data Must Speak: Positive Deviance in Education — A Methodological Brief" (2024). Regression-residual methodology validated across 15 countries for identifying schools that outperform structural predictions.
  17. Minneapolis Public Schools / Metro Transit, GoTo Student Transit Pass Program evaluation. 23% absenteeism reduction among participating students. Federal Transit Administration, "Fact Sheet: School Attendance and Public Transportation" (2024) — formally recognized transit access as a chronic absenteeism intervention. Caution: Tallahassee's free-pass program showed increased CA, underscoring that transit must be paired with attendance monitoring.
  18. Mamlin, N., & Abel, N. "The Effect of Bus Eligibility on Student Absenteeism." Michigan/MIT School Transportation Study (2024). Regression-discontinuity design at transit eligibility cutoffs found approximately 4 percentage-point CA reduction for economically disadvantaged students who gained bus access.
  19. Learning Policy Institute, evaluation of California Community Schools Partnership Program (CCSPP, $4.1 billion statewide initiative). First-year results: 30% greater chronic absence reduction in CCSPP schools compared to matched comparison schools. Co-location of childcare, health services, and family engagement in school buildings.
  20. Chetty, R., Hendren, N., & Katz, L. F. (2016). "The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment." American Economic Review, 106(4), 855–902. Children who moved to low-poverty neighborhoods before age 13 were 32% more likely to attend college. Effect driven by stable, lower-poverty neighborhood conditions during childhood.
  21. University of Michigan Poverty Solutions / National Low Income Housing Coalition (NLIHC). Housing instability identified as the single greatest predictor of chronic absenteeism. Eviction filing effects persist for two years after the filing event, disrupting enrollment, school transfers, and adjustment periods. See also: Desmond, M. (2016). Evicted: Poverty and Profit in the American City. Crown.
  22. RAND Corporation, evaluation of NYC Community Schools Initiative (2020). 143-study meta-review. 7 to 8 percentage-point chronic absence reduction. Strongest effects at elementary level and when schools co-located housing support, family engagement, mentoring, and behavioral health. See also: Maier, A., et al. (2017). "Community Schools as an Effective School Improvement Strategy." Learning Policy Institute.
  23. Johns Hopkins University, Parent Teacher Home Visits (PTHV) research. 21% reduction in chronic absence across 100,000+ students in four urban districts. School-wide spillover: when 10%+ of families received visits, all students showed 22% lower chronic absence odds. See: Sheldon, S. B., & Jung, S. B. (2018). "Student Outcomes and Parent Teacher Home Visits." Johns Hopkins School of Education.
  24. NYC Success Mentors Program evaluation: 9 to 13 additional school days per year for 60,000+ chronically absent students. Tulsa afterschool programs: participants 43% less likely to be chronically absent. Meta-analysis: Eklund, K., et al. (2020). "A Systematic Review of State-Level Chronic Absenteeism Interventions." School Psychology Review, 49(2), 151–169. Effect size g = 0.25 across 22 controlled studies.