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Evan BrooksData Editor
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In this article
- How the Score Is Built (and Why That Matters Here)
- The 15 Highest School Scores
- The 15 Lowest School Scores
- Pattern 1: Completion Tracks the Score — Partly by Construction
- Pattern 2: Funding Separates the Groups, but with Overlap
- Pattern 3: The Tails Cluster by State, Not by Chance
- What the Extremes Cannot Tell You
- How to Use This Analysis
Ranking tables are easy to publish and easy to misread. A list of the counties with the highest School Scores tells you which counties top the table in the current data year; it does not tell you why they top it, or whether the counties at the bottom are struggling in the ways a low rank implies. This analysis looks at both ends of the School Score distribution at once — the 15 highest-scoring and 15 lowest-scoring counties in the current NCES-backed dataset — and asks the more useful question: what do the extremes actually have in common?
Three patterns hold up under inspection. Completion rates move closely with the score. Funding is directionally aligned but much noisier. And both tails cluster geographically in ways that point to state finance formulas and district structure rather than county-by-county effort. Each pattern comes with a caveat, because a percentile composite rewards and penalizes counties for conditions they do not fully control.
How the Score Is Built (and Why That Matters Here)
The SchoolsByCounty School Score is a percentile-rank composite of available NCES graduation-rate and school-finance metrics, scaled 0 to 100. A score of 90 means the county outranks 90% of scored counties on those inputs — nothing more. Because the score is relative, the extremes are guaranteed to exist: some county must be first and some county must be last, even in a year when the underlying metrics improve everywhere.
That construction shapes how the tables below should be read. The counties at the top are not certified excellent, and the counties at the bottom are not certified failing. They are the counties where the measured inputs — completion and finance — diverge most from the national middle.
The 15 Highest School Scores
Ranked by School Score from highest to lowest, with the completion and finance figures that feed the composite shown alongside. Each county name links to its full profile.
Rank
1
County
- State
- California
- School Score
- 100
- Graduation Rate
- N/A
- Per-Pupil Spending
- $23,219
Rank
2
County
- State
- Nebraska
- School Score
- 99.5
- Graduation Rate
- N/A
- Per-Pupil Spending
- $18,703
Rank
3
County
- State
- Michigan
- School Score
- 99.3
- Graduation Rate
- N/A
- Per-Pupil Spending
- $18,000
Rank
4
County
- State
- Montana
- School Score
- 98.1
- Graduation Rate
- N/A
- Per-Pupil Spending
- $14,412
Rank
5
County
- State
- Colorado
- School Score
- 97.3
- Graduation Rate
- N/A
- Per-Pupil Spending
- $13,639
Rank
6
County
- State
- Nevada
- School Score
- 97.3
- Graduation Rate
- N/A
- Per-Pupil Spending
- $13,673
Rank
7
County
- State
- Colorado
- School Score
- 97
- Graduation Rate
- N/A
- Per-Pupil Spending
- $13,446
Rank
8
County
- State
- Montana
- School Score
- 96.9
- Graduation Rate
- N/A
- Per-Pupil Spending
- $13,419
Rank
9
County
- State
- Montana
- School Score
- 96.5
- Graduation Rate
- N/A
- Per-Pupil Spending
- $13,208
Rank
10
County
- State
- West Virginia
- School Score
- 96.5
- Graduation Rate
- 97.0%
- Per-Pupil Spending
- $12,943
Rank
11
County
- State
- Pennsylvania
- School Score
- 96.4
- Graduation Rate
- 97.0%
- Per-Pupil Spending
- $12,718
Rank
12
County
- State
- Louisiana
- School Score
- 96.3
- Graduation Rate
- 97.0%
- Per-Pupil Spending
- $12,683
Rank
13
County
- State
- New Jersey
- School Score
- 95.3
- Graduation Rate
- 95.8%
- Per-Pupil Spending
- $15,445
Rank
14
County
- State
- Texas
- School Score
- 95.2
- Graduation Rate
- N/A
- Per-Pupil Spending
- $12,551
Rank
15
County
- State
- Nebraska
- School Score
- 95
- Graduation Rate
- N/A
- Per-Pupil Spending
- $12,386
| Rank | County | State | School Score | Graduation Rate | Per-Pupil Spending |
|---|---|---|---|---|---|
| 1 | Alpine County | California | 100 | N/A | $23,219 |
| 2 | Loup County | Nebraska | 99.5 | N/A | $18,703 |
| 3 | Keweenaw County | Michigan | 99.3 | N/A | $18,000 |
| 4 | Treasure County | Montana | 98.1 | N/A | $14,412 |
| 5 | San Juan County | Colorado | 97.3 | N/A | $13,639 |
| 6 | Esmeralda County | Nevada | 97.3 | N/A | $13,673 |
| 7 | Hinsdale County | Colorado | 97 | N/A | $13,446 |
| 8 | Petroleum County | Montana | 96.9 | N/A | $13,419 |
| 9 | Golden Valley County | Montana | 96.5 | N/A | $13,208 |
| 10 | Doddridge County | West Virginia | 96.5 | 97.0% | $12,943 |
| 11 | Wyoming County | Pennsylvania | 96.4 | 97.0% | $12,718 |
| 12 | Cameron Parish | Louisiana | 96.3 | 97.0% | $12,683 |
| 13 | Hunterdon County | New Jersey | 95.3 | 95.8% | $15,445 |
| 14 | Kenedy County | Texas | 95.2 | N/A | $12,551 |
| 15 | Thomas County | Nebraska | 95 | N/A | $12,386 |
The 15 Lowest School Scores
Ranked by School Score from lowest to highest. These counties sit at the bottom of the same percentile distribution, and their companion metrics show why.
Rank
1
County
- State
- Oregon
- School Score
- 0.4
- Graduation Rate
- 33.6%
- Per-Pupil Spending
- $4,865
Rank
2
- State
- Alaska
- School Score
- 0.5
- Graduation Rate
- 66.3%
- Per-Pupil Spending
- $3,314
Rank
3
County
- State
- Georgia
- School Score
- 0.8
- Graduation Rate
- 21.5%
- Per-Pupil Spending
- $5,074
Rank
4
County
- State
- Idaho
- School Score
- 0.9
- Graduation Rate
- 65.3%
- Per-Pupil Spending
- $4,883
Rank
5
County
- State
- Colorado
- School Score
- 1.2
- Graduation Rate
- 57.9%
- Per-Pupil Spending
- $5,152
Rank
6
County
- State
- Arizona
- School Score
- 1.7
- Graduation Rate
- 71.8%
- Per-Pupil Spending
- $5,007
Rank
7
County
- State
- Oregon
- School Score
- 1.8
- Graduation Rate
- 66.8%
- Per-Pupil Spending
- $5,291
Rank
8
County
- State
- Oklahoma
- School Score
- 2.5
- Graduation Rate
- 73.7%
- Per-Pupil Spending
- $5,214
Rank
9
County
- State
- Oklahoma
- School Score
- 3
- Graduation Rate
- 71.0%
- Per-Pupil Spending
- $5,428
Rank
10
County
- State
- Michigan
- School Score
- 3.8
- Graduation Rate
- 58.9%
- Per-Pupil Spending
- $5,655
Rank
11
County
- State
- Idaho
- School Score
- 3.9
- Graduation Rate
- 76.2%
- Per-Pupil Spending
- $5,060
Rank
12
County
- State
- Oklahoma
- School Score
- 3.9
- Graduation Rate
- 74.4%
- Per-Pupil Spending
- $5,455
Rank
13
County
- State
- Indiana
- School Score
- 4
- Graduation Rate
- 77.2%
- Per-Pupil Spending
- $4,410
Rank
14
County
- State
- Mississippi
- School Score
- 4.1
- Graduation Rate
- 75.0%
- Per-Pupil Spending
- $5,375
Rank
15
County
- State
- Alaska
- School Score
- 4.2
- Graduation Rate
- 72.0%
- Per-Pupil Spending
- $5,596
| Rank | County | State | School Score | Graduation Rate | Per-Pupil Spending |
|---|---|---|---|---|---|
| 1 | Wheeler County | Oregon | 0.4 | 33.6% | $4,865 |
| 2 | Yukon-Koyukuk Census Area | Alaska | 0.5 | 66.3% | $3,314 |
| 3 | Candler County | Georgia | 0.8 | 21.5% | $5,074 |
| 4 | Elmore County | Idaho | 0.9 | 65.3% | $4,883 |
| 5 | Bent County | Colorado | 1.2 | 57.9% | $5,152 |
| 6 | Pima County | Arizona | 1.7 | 71.8% | $5,007 |
| 7 | Coos County | Oregon | 1.8 | 66.8% | $5,291 |
| 8 | Washington County | Oklahoma | 2.5 | 73.7% | $5,214 |
| 9 | Oklahoma County | Oklahoma | 3 | 71.0% | $5,428 |
| 10 | Manistee County | Michigan | 3.8 | 58.9% | $5,655 |
| 11 | Canyon County | Idaho | 3.9 | 76.2% | $5,060 |
| 12 | Latimer County | Oklahoma | 3.9 | 74.4% | $5,455 |
| 13 | Randolph County | Indiana | 4 | 77.2% | $4,410 |
| 14 | Leflore County | Mississippi | 4.1 | 75.0% | $5,375 |
| 15 | Denali Borough | Alaska | 4.2 | 72.0% | $5,596 |
Pattern 1: Completion Tracks the Score — Partly by Construction
The clearest divide between the two groups is graduation rate. The 15 highest-scoring counties report an average graduation rate of 96.7%, while the 15 lowest-scoring counties average 64.1%. Against a national average of 87.5%, the top group sits comfortably above the benchmark and the bottom group falls well below it.
Part of this relationship is mechanical: graduation rate is an input to the School Score, so counties with strong completion are pulled toward the top of the composite by construction. The pattern is still informative — it confirms the score is not being driven by finance data alone — but it should not be cited as independent evidence that high-scoring counties "produce" better completion. The score and the graduation rate are partly the same measurement wearing two labels.
Pattern 2: Funding Separates the Groups, but with Overlap
Important
Do not treat the spending column as an explanation for the score column. Both metrics respond to deeper conditions — state finance formulas, local property wealth, district geography — that this dataset describes but cannot disentangle.
Per-pupil spending also differs between the tails, but less cleanly. The high-score group averages $14,696 per pupil against $5,052 in the low-score group, with the national average at $13,239. In the current data year the two groups happen not to overlap on spending, but the gap between group averages is still proportionally smaller than the gap in scores.
This is the correlation-is-not-causation zone. Spending in these tables is nominal — unadjusted for regional labor costs, transportation burden, or enrollment scale — so a rural county with long bus routes can out-spend a suburban county while operating leaner classrooms. The reasonable reading is that the extremes of the score distribution tend to sit on different funding tiers, not that dollars produced the scores or that matching a top county's budget would replicate its results.
Pattern 3: The Tails Cluster by State, Not by Chance
Neither tail is a random draw from the map. Among the highest-scoring counties: The most represented states are Montana (3), Colorado (2), and Nebraska (2), together accounting for 7 of 15 counties. Among the lowest-scoring counties: The most represented states are Oklahoma (3), Alaska (2), and Idaho (2), together accounting for 7 of 15 counties.
State clustering at both ends is the strongest hint that the score is picking up policy environments as much as local performance. Graduation reporting rules, state funding formulas, district consolidation history, and the mix of county-wide versus fragmented districts all vary by state — and all of them move the inputs to the composite. A county that changed nothing about its schools would still drift in these rankings if its state changed how it funds districts or counts cohorts.
The practical consequence: comparing a county against others in the same state is more informative than comparing it against the national tails. Two counties in the same state share a finance formula and a reporting regime; two counties picked from opposite ends of this table share almost nothing except their position in a distribution.
What the Extremes Cannot Tell You
Three limitations matter most at the tails of any percentile ranking. First, small counties are volatile: with one small cohort of students, a handful of outcomes can move a county many places in a single release. Second, missing or suppressed federal data thins the inputs for some counties, so a low score can reflect sparse reporting rather than weak schools. Third, a county average can hide enormous district-to-district variation — a county with one strong district and one struggling district can land anywhere in the table.
None of this makes the ranking useless. It makes the ranking a screening tool. The linked county profiles, state report cards, and district dashboards are where a score turns into an actual understanding of a school system.
How to Use This Analysis
If a county you are researching appears in either table, treat that as a prompt for specific follow-up rather than a conclusion:
- Open the county profile and check which input is driving the position — completion, finance, or both. The same score can have very different anatomy.
- Compare the county against its state average before its national rank; the state baseline removes most of the policy noise described above.
- For small counties, check whether the school system serves a few hundred students. If so, expect year-to-year movement and read multiple releases before concluding anything.
- Use the full national tables on the insights page and the county comparison view to place any county in context, rather than anchoring on its appearance in a 15-row tail.
Methodology
The School Score is a percentile-rank composite of available NCES graduation-rate (Common Core of Data, four-year ACGR) and school-finance (F-33 survey) metrics, scaled 0-100 across scored counties. Group averages in this article are unweighted means across the 15 counties in each tail; counties with missing companion metrics are excluded from the relevant average. Spending figures are current expenditure per fall enrollment, excluding capital outlays and debt service, and are not adjusted for regional cost differences. Tables regenerate when the underlying dataset updates, so the county lists may shift between data releases.
Sources and Review
Data vintage: NCES 2022-23 public school and school-finance releases. Data sources are selected for this article's metric focus. County figures are informational estimates and may differ from other published analyses due to methodology, aggregation, suppression, or reporting-year differences. Last editorial review checked source links, data vintage, visible caveats, and county-profile links.
Continue the Research
Use this article as a starting point, then verify county-level signals against official district and state records.