Show-Me Missouri Schools
ACADEMIC ACHIEVEMENT

How students are doing

District performance from the 2025 Annual Performance Report ( / ) — the overall score plus its building blocks: English, math, college-and-career readiness, and attendance. A pattern runs through all of them: achievement follows poverty. So this page also asks four harder questions — what provisional accreditation does and does not mean, how poor Missouri’s children actually are (the school lunch numbers no longer tell you), which districts beat the odds their demographics predict, and how test scores changed since 2019, through spring 2025.

What this page shows

  • About one Missouri child in seven is estimated to live below the federal poverty line — 13.9% of children ages 5–17. But the free/reduced-lunch rate, the number schools leaned on for thirty years, is no longer a poverty measure: 56 districts report exactly 100%, and one reports more than 100%.
  • Missouri lists five districts as provisionally accredited and none as unaccredited. Their academic results merit attention even beside other high-poverty districts, but the five do not share one simple financial profile.
  • Economic disadvantage tracks closely with where students stand and only faintly with how fast they gain ground. In matched 2009–2019 data, average free/reduced-lunch enrollment accounts for about 42% of the variation in achievement level but only about 3% of the variation in learning rate.
  • In the mapped districts with published estimates, 2025 scores are an assessment-weighted 0.64 grade levels below 2019; 68 of 378 districts are at or above their own 2019 score.
Data current as of DESE accreditation classification February 2026 DESE Annual Performance Report 2025 Stanford SEDA 2025.2 annual release Census SAIPE child poverty 2024
THE STATE’S OWN SCORECARD

Annual Performance Report, 2025

One map, three measures. APR score is the percent of accountability points earned; and Math are the , a weighted score that credits partial progress toward proficiency rather than only counting the percent proficient. Darker = higher. The color scale is clamped at the 5th–95th percentile so the map stays readable; the tooltip shows each district’s true value. Source: Missouri DESE, 2025 Annual Performance Report.

The share of accountability points each district earned — Missouri’s single summary of district performance — and the two academic measures underneath it. Use the Achievement Measure selector on the map to switch between the APR score, English language arts, and mathematics.

How to read these two scores — they look more familiar than they are. An APR score of 86% is not a letter grade and does not mean 86% of students passed. It is the share of the state’s accountability points a district earned across many measures at once. And the MPI runs on a scale of roughly 0–500, so a score of 385 is a middling result, not “385%.” Both can help compare districts on the state’s own measures, but neither is a complete ranking of school quality — and neither tells you how many of a district’s children are reading or doing math at grade level.
How to read it: darker shading means a higher score. The scale is clipped at the 5th and 95th percentiles so the middle of the state stays readable — hovering any district shows its true value.
Switch between ELA and math and the map barely changes — the two correlate at 0.86. A district that struggles in reading almost always struggles in math. What both maps mostly trace is not subject strength but poverty: achievement tracks a district’s poverty rate far more tightly than it tracks its spending. Which raises the obvious question — what happens once you account for poverty? That is the map two sections below.
The two components you cannot usefully map

The APR also scores college & career readiness and attendance. We have deliberately not mapped them, because they are not continuous measures: DESE awards them in bands, and almost every district lands on one of four values — 0, 50, 75 or 100. Shading a map by a four-value score invents a geographic gradient that does not exist. The honest presentation is a table.

District typeAPR scoreELA (MPI)Math (MPI) pointsAttendance pointsDistricts
City80.8379.2366.2505014
Suburb86.0401.8397.2507545
Town79.0385.7377.5507569
Rural80.3383.6373.450100388
Missouri median80.5384.6374.85075516
Median values by NCES locale, 2025 (Missouri DESE). Two things stand out. Suburban districts lead on every academic measure — and by a wide margin, about 24 MPI points in math over the typical rural district. But rural districts are the only group whose typical school earns full attendance points, while the median city district earns half. Attendance, the measure everyone began watching after the pandemic, runs in exactly the opposite direction from achievement. Per-district figures for all five measures are on each district lookup card.
ACADEMIC DISTRESS IN CONTEXT

Five districts are provisionally accredited. None is unaccredited.

That is Missouri’s official February 2026 classification, not a label created by this website. The state’s detailed tables identify Hayti R-II, Hickman Mills C-1, Normandy Schools Collaborative, Riverview Gardens and St. Louis Public Schools as provisionally accredited. Their results deserve direct attention. But the label is a starting point for investigation — not a diagnosis of one cause and not a verdict on every school, teacher or child in the district.

511
Accredited
5
Provisionally accredited
0
Unaccredited

Source: DESE’s February 2026 detailed classification tables. The PDF’s summary box says 512 accredited and 517 total; its district-by-district tables contain 511 accredited and 516 total. Every detailed code matches the site’s 516-district geographic master, so the site reports the detailed rows and discloses the one-district source discrepancy. These accreditation totals concern the geographic district panel; Missouri’s two special school districts are outside this comparison.

What provisional accreditation means. Missouri’s accreditation process uses multiple years of Annual Performance Report data, performance trends and other system conditions. DESE also reviews improvement planning, financial status, compliance with law and regulation, and superintendent certification. The State Board of Education approves the classification, and it remains in place until the board changes it. See DESE’s explanation of MSIP and accreditation.
What it does not mean. This is not a ranking built from one year’s APR. Hickman Mills, for example, earned 80.5% of available APR points in 2025 — the statewide district median — while its official classification remains provisional. That is not a contradiction: the current APR is one piece of a broader, multi-year state decision.
The five districts, without hiding the context
DistrictCommunityEnrollment2025 APRChild povertyEnrollment since 1991Average teacher experience
Hayti R-IIRural57274.443.7%−45.3%14.9 years
Hickman Mills C-1City4,68480.524.0%−35.6%9.9 years
Normandy Schools CollaborativeSuburb2,58951.033.7%−56.2%8.6 years
Riverview GardensSuburb4,88369.536.0%+3.3%8.6 years
St. Louis Public SchoolsCity16,21166.531.3%−62.5%8.0 years
APR is the percentage of available accountability points earned in 2025; it is not a letter grade or percent proficient. Child poverty is Census SAIPE 2024. Enrollment and teacher experience are DESE 2025. Each district name opens its full site profile.
What changes when the comparison is fairer

The five districts serve very different places — two city systems, two inner-ring suburbs and one rural Bootheel district. All five have child-poverty estimates of at least 20%, so the middle column below compares them with the 137 other Missouri districts where at least one in five children is estimated to be poor. That is useful context, not a matched study or an excuse for low results.

Median district measureFive provisional districts137 other high-poverty districtsAll 516 mapped districts
APR points, 202569.577.680.5
ELA performance index, 2025335.0379.9384.6
Math performance index, 2025304.2367.8374.8
Child poverty estimate, 202433.7%23.9%15.4%
Enrollment change, 1991–2025−45.3%−21.5%−13.8%
Average teacher experience, 20258.6 years12.6 years12.6 years
The results remain lower even beside other high-poverty districts — and that deserves attention. The median provisional district is 8.1 APR points below the other high-poverty group, 44.9 points lower in English and 63.6 points lower in math. The same five districts also have higher estimated poverty, more than twice the long-run enrollment loss and 4.0 fewer years of average teacher experience. Those patterns do not prove why the results occurred, but they show that economic context alone does not close the academic gap.
See why this is not a simple funding story

Across the five provisional districts, the median current expenditure is $19,968 per student, the median average teacher salary is $57,308, and median assessed property wealth is $150,908 per student — all above the statewide district medians of $13,255, $48,603 and $130,885. But those medians combine very different districts. Hayti’s assessed wealth is only $57,645 per student; St. Louis City’s is $338,639. Per-pupil spending can also rise when enrollment falls because fixed costs are divided among fewer students, and metropolitan salary levels reflect a different labor market than rural pay.

The honest conclusion is that the five do not share one simple financial diagnosis. District-level totals cannot establish whether resources are adequate, efficiently used or causally related to results. They can show that the accountability concern is real, that the communities face substantial challenges, and that any proposed remedy should be tested against each district’s actual circumstances rather than one statewide stereotype.

All comparisons are district medians, so each district counts once. The high-poverty group excludes the five provisional districts. The complete method and reproduction command are in Methods.
HOW POOR ARE MISSOURI’S CHILDREN, REALLY?

The poverty map the school data cannot give you

Every claim on this page rests on a measure of poverty — and for thirty years the measure schools used was the free/reduced-lunch rate. That measure is now broken. Since Missouri districts began adopting community eligibility, which lets a high-poverty school feed every child for free without collecting a single family income form, a district’s reported free-lunch rate says as much about its paperwork as about its families. So this map sets school data aside entirely and asks the Census Bureau instead: what share of the children living inside each district’s boundaries is actually poor?

Estimated share of children ages 5–17 living below the federal poverty line, by school district, 2024. Darker blue = a higher estimated poverty rate; lighter shading = lower. Source: U.S. Census Bureau, Small Area Income and Poverty Estimates (SAIPE), a model-based estimate that draws on tax records, SNAP participation and the American Community Survey — not on anything a school reports.
How to read it: red = higher estimated child poverty than the typical Missouri district; blue = lower. The statewide rate is 13.9%; district estimates range from 2.6% to 52.8%.
Poverty is not only urban. The median rural district’s estimated child-poverty rate — 16.4% — nearly matches the median city district (16.3%) and is substantially higher than the median suburb (8.8%).
View the numbers as a table
Median district estimated child-poverty rate (ages 5–17), 2024 Census SAIPE, by community type. The statewide rate weighted by children is 13.9%; the median district is higher (15.4%) because most districts are small and rural — the median district is not the same as the typical child’s district. 516 mapped districts.
Community typeDistrictsMedian child-poverty rate
Rural38816.4%
Town6914.3%
Suburb458.8%
City1416.3%
All districts (median)51615.4%
About one Missouri child in seven is estimated to be poor — 141,975 of the state’s 1,022,586 children ages 5–17, or 13.9%. But the state average conceals a 20-fold spread. Blair Oaks R-II (2.6%), Spring Bluff R-XV (2.7%) and Kirkwood R-VII (2.7%) sit at one end; Spickard R-II (52.8%), Risco R-II (45.5%) and Hayti R-II (43.7%) at the other. Among Missouri’s largest districts, St. Louis City (31.3%) and Kansas City 33 (25.5%) carry many times the estimated child poverty of Rockwood (3.0%) or Parkway (4.3%).

Poverty is not only an urban story. The median rural district has a 16.4% estimated child-poverty rate — almost identical to the median city district (16.3%) and substantially higher than the median suburb (8.8%). Rural poverty is simply more spread out, and therefore easier to miss.
Why this map matters more than it looks: the free/reduced-lunch rate and estimated child poverty correlate at only r = 0.65. Districts report an average free-lunch rate of 52% while their Census child-poverty estimates average 16%. Fifty-six Missouri districts report exactly 100% of students qualifying for free lunch, and Ferguson-Florissant reports more than 100%. Across those 57 districts, estimated child poverty ranges from 13% to 53%, with a median of 23%.

None of that is fraud. It is community eligibility working as designed: feed every child, ask no family to fill out a form. But it means free-lunch rate is no longer a poverty measure — and any funding formula, research study, or news story that still treats it as one is measuring the wrong thing.

Annual estimates need care. Because SAIPE is model-based, rates for small districts can move sharply between annual vintages. Eighty districts moved more than five percentage points from 2023 to 2024; most enroll only a few hundred students. Treat a one-year change as an estimate, not proof of a local trend, and check several years or local evidence before drawing conclusions.
BEATING THE ODDS

Which districts outperform what poverty predicts

from a of district achievement (, 2009–2019) on average free/reduced-lunch enrollment over the same years. Units are ; roughly 0.3 SD ≈ one grade level. Hatching = no displayable data. FRL was retained for this historical window after a completed Census child-poverty sensitivity test; see the explanation below and Methods.

Poverty explains a great deal of Missouri’s test-score map — but not all of it. This map compares each district’s actual achievement against what its poverty rate alone would predict. Blue districts score above expectation, red below; the center of the scale is exactly zero, meaning “performing as predicted.” It is the one map here that asks not who is ahead, but who is doing more with what they have.

How to read it: zero means a district performs exactly as its poverty rate predicts. Blue = scoring above what poverty predicts (doing more with what it has). Red = scoring below it. This is not a ranking of good and bad schools.
The finding that should travel: in the matched 2009–2019 data behind this map, average free/reduced-lunch enrollment is associated with about 42% of the in district achievement level. It does not mean poverty causes exactly 42% of achievement. The other 58% is not a school-quality score. That remainder can include prior learning, attendance, mobility, disability and language needs, family and community conditions, school practice, measurement error and other factors this one-variable model does not measure.

The state’s biggest over-performers are largely high-poverty rural districts: Richland R-I in the Bootheel (about 68% free/reduced lunch) leads Missouri at +0.63 SD above prediction — roughly two grade levels better than demographics would forecast — with Kingston K-14 (85% FRL), Green Forest R-II, Middle Grove C-1 and Manes R-V alongside Ladue and Clayton at the top. The lowest residuals cluster in the St. Louis inner ring (Riverview Gardens −0.57, Normandy −0.45, St. Louis Public Schools −0.39). And once poverty is controlled, the median residual for rural, town, suburban and city districts is all about zero — rural Missouri is not behind.
The plain version — the fair question this map asks. Poorer districts tend to post lower test scores; that much is predictable. This map sets that pattern aside and asks something fairer: next to other districts with the same level of poverty, is this one doing better or worse? A district “beats the odds” when it outscores districts dealt a similar economic hand — not when it outscores the state.

That is why the number can run opposite to a district’s raw scores. A wealthy district can post some of the highest test scores in Missouri and still land near zero here — it is doing about what its low poverty would predict — while a high-poverty rural district can score below the state average and still be one of Missouri’s biggest over-performers. Zero is not failure and blue is not a trophy: this is the closest indicator on the site to what a school itself may be contributing, once the economics are set aside — though, like any measure built from observational data, it cannot fully separate a school’s own effect from everything else that differs between districts. (Rough anchor: ≈ one grade level.)
LEARNING RATE

How fast students learn, not how much they know

Average annual growth in test scores relative to the national average, 2009–2019 (Stanford Education Data Archive). Blue = students gain more each year than the typical U.S. district; clay = less. Hatching = no displayable data.

Every other achievement map on this page measures what students know at a moment in time — and what students know is shaped by everything that happened before they walked through the door. This map measures something different and, arguably, fairer: how much students gain each year compared with the typical American district. It is the closest this site can get to measuring what a school itself may contribute — a useful indicator, not proof of cause and effect.

How to read it: zero is the average American district. Blue = students gain more each year than the typical U.S. district; clay = less. This measures growth, not how far ahead or behind students started.
The map breaks the usual score pattern. Faster-learning districts are scattered across rural, town, city and suburban Missouri rather than clustering only in low-poverty suburbs.
Here is the finding, and it is the most important one on this page. In matched 2009–2019 SEDA data, average free/reduced-lunch enrollment accounts for about 42% of the variation in achievement level across 516 districts, but only about 3% of the variation in learning rate across the 511 districts reporting it.

Put plainly: economic disadvantage tracks closely with where district students stand and much less strongly with how fast they gain ground. That difference is important, but it is not a complete explanation of either outcome. Learning-rate estimates are also less precise, particularly for small districts, so the 3% figure should be treated as a descriptive result that still deserves additional sensitivity checks. Roughly 226 of 511 Missouri districts grow their students faster than the average American district, and they are scattered across the map rather than clustered in the wealthy suburbs.

The strongest learning rate in the state belongs to Richland R-I — a high-poverty Bootheel district that is also the state’s biggest over-performer on the Beating the Odds map above. Whatever is happening there is worth understanding.

Where teacher workforce fits. In a separate comparison using that same matched window, teacher salary, advanced-degree share and experience each have a modest positive association with achievement level (r = .25 to .29), but little or a negative association with learning rate (r = −.18 to −.02). Broad current expenditure per pupil is associated with essentially none of the variation in achievement (r = .00) and only a small share in learning rate (r = .12). These are associations, not effects. Read the plain-language interpretation on Teachers and the full design in Methods.
How strongly economic disadvantage is associated with each outcome
District-level correlations in the site’s current public data. A negative r means greater disadvantage is associated with a lower outcome; R² is the share of variation associated in a simple two-variable comparison. Child poverty is Census SAIPE 2024; current FRL and DESE outcomes are 2025; SEDA achievement and learning-rate estimates are pooled 2009–2019. Sample sizes differ with data availability.
OutcomeChild poverty r (n)R²Current FRL r (n)R²
SEDA achievement level−0.458 (516)21.0%−0.590 (513)34.8%
ELA performance index−0.387 (516)15.0%−0.508 (513)25.8%
Math performance index−0.356 (516)12.6%−0.495 (513)24.5%
College/career readiness−0.270 (445)7.3%−0.317 (445)10.1%
Annual Performance Report−0.268 (516)7.2%−0.317 (513)10.1%
SEDA learning rate−0.224 (511)5.0%−0.199 (508)4.0%
Why the 42% / 3% headline differs from the table: that headline uses one matched historical window — pooled SEDA achievement and growth with each district’s average FRL for 2009–2019. The table is a separate transparency check using the site’s current public district fields, whose vintages differ. The two analyses point in the same direction, but their percentages should not be mixed.

The Beating the Odds and learning-rate maps retain the pooled 2009–2019 historical analysis. The annual comparisons below use the newer SEDA 2025.2 release.

RESULTS THROUGH SPRING 2025

Test scores remain below their 2019 level

Stanford SEDA 2025.2, grades 3–8, all students. Values use the GYS grade-equivalent scale referenced to 2019 national performance. Changes require published estimates at both endpoints. Hatching means an endpoint is missing or suppressed; the available districts differ by measure.

One map, five questions. Use the Recovery Measure selector for change from 2019 to 2025 overall, mathematics, reading, change from 2022 to 2025, or 2025 achievement relative to the 2019 national benchmark. Every endpoint comes from the same release.

How to read it: clay is below zero; navy is above. Zero means no estimated change, or the 2019 national benchmark in the standing view. A grade-equivalent unit is a test-score scale, not a year of schooling lost by each child.
Among 378 mapped districts with published 2019 and 2025 estimates, the assessment-weighted average change is −0.64 grade levels. The median district is −0.62. 68 of 378 — 18% — are at or above their own 2019 point estimate. This describes the reporting districts, not every Missouri student. Small-district estimates and values near zero should be read cautiously.
Different children, and revised data. These compare district averages for the 2025 and 2019 groups of children, not the same children followed over time. SEDA 2025.2 revises earlier estimates and changes suppression rules, so the previous release’s headline cannot be subtracted from this one to measure a year’s progress. An estimate at or above zero does not establish statistically significant recovery.
Mathematics and reading still trail 2019. Mathematics averages −0.63 grade levels across 378 districts; 92 of 378 have a nonnegative change. Reading averages −0.70 across 336 districts; 45 of 336 have a nonnegative change. Each average uses that subject’s 2025 assessment counts and its own published endpoint cohort.

Since 2022: the overall change averages −0.03 grade levels across 347 districts, with 155 showing a positive change. This is a comparison through 2025, not an estimate of the pandemic’s causal effect.

Standing in 2025: 96 of 378 districts — 25% — are at or above the 2019 national benchmark. The median district is 0.70 grade levels below that benchmark. This is not a comparison with the contemporary 2025 national average.
Source: Reardon, S. F., Fahle, E. M., Ho, A. D., Shear, B. R., Saliba, J., Min, J., Shim, J., & Kalogrides, D. (2026). Stanford Education Data Archive, Version SEDA 2025.2. Stanford data and documentation. Annual and annual-by-subject administrative-district GYS empirical-Bayes estimates, all students; only the site’s 516 geographic districts are eligible. Download the mapped-district comparisons. These are descriptive averages weighted by assessment counts, not enrollment; charters and special districts outside the mapped panel are excluded.
WHAT THIS PAGE MEANS

Five maps, and one uncomfortable pattern

The strongest pattern appears in the matched 2009–2019 SEDA measure: average free/reduced-lunch enrollment accounts for about 42% of the variation in district achievement level, but only about 3% in learning rate. Those percentages belong to those specific matched measures, not to every map on this page. The broader lesson still holds: read a district’s score alongside the economic circumstances of the children it serves.

If you’re a parent or student

A district’s test score is not a grade for its teachers. It is closer to a photograph of the community around the school. Economic disadvantage is much more closely associated with Missouri district scores than with learning rate. Current per-pupil spending and APR are almost unrelated across the 513 nonvirtual districts (r = +0.030), but that does not mean money is unimportant: district-level data cannot identify what the additional dollars buy or what results would have been without them.

So if you want the closest available indicator of what your school itself may be contributing, look at two maps and ignore the rest: how fast students learn, and whether the district beats what its poverty predicts. Those come closest to asking what the school did with the children who walked through the door, though neither can fully rule out other explanations. On the growth map, economic disadvantage explains very little of the difference among districts — high-poverty districts grow students at roughly the same range of rates as low-poverty ones.

If you’re an educator or board member

These maps give you the two defenses that actual data supports. First, 226 of 511 Missouri districts grow faster than the average American district — growth is where schools show up in the numbers, and Missouri looks far better on growth than on level.

The annual comparison also merits attention: across 378 mapped districts with published endpoints, 2025 scores average 0.64 grade levels below 2019, weighted by assessment counts. Only 68 of 378 have a point estimate at or above 2019. These are different groups of children, and the estimates do not establish a causal explanation or statistically significant recovery in any individual district.

If you’re a policymaker or legislator

The measure this state has used to target poverty aid for thirty years no longer measures poverty consistently. Free-lunch rate and estimated child poverty now correlate at only r = 0.65; 56 districts report exactly 100% of students qualifying and one reports more than 100%, while their Census poverty estimates run from 13% to 53%. Any formula that still keys on free-lunch counts is distributing money on a number that has quietly stopped meaning what it says.

The second finding worth your attention: once poverty is controlled, rural Missouri is not behind. The median rural district performs almost exactly as predicted. The gap is a poverty gap, not a rural gap — and that points at a different policy than the one usually proposed.

If you’re a taxpayer or community member

Report-card scores get used to rank towns, price houses, and decide where families move. These maps show why that ranking must be read with economic context. A low APR is associated with the circumstances of the children a district serves — it is not, by itself, a verdict on the people teaching in its buildings.

And the reverse deserves saying too: a high-scoring suburban district is not necessarily doing more for its students than the small rural district down the road. Several of the districts that most exceed what their circumstances predict are among Missouri’s poorest.

Questions worth asking about your own district
  • Where does our district sit on the Beating the Odds map — are we above or below what our poverty rate predicts? That is a fairer question than “what is our APR,” and it is the one worth taking to a board meeting.
  • What does the Census say our real child poverty rate is, and how does that compare to the free-lunch figure we report? If those two numbers are far apart, which one is our budget, our grants and our staffing built on?
  • How do our current scores compare with 2019, and which estimates are missing? The available reading and mathematics cohorts differ. Ask what changed in our instruction since 2019 and what other evidence helps explain the pattern.
  • Are our students growing faster or slower than the typical American district? A district can be below the state average in scores and still be doing excellent work. Growth is where you would see it.
  • If we outperform our poverty rate, what are we doing — and are we telling anyone? Missouri’s biggest over-performers are mostly small, poor, rural districts nobody writes about.
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