Neah Bay Junior/ Senior High School
Neah Bay, WA · Grades 6–12
NeighborhoodDecoded Rank
All factors combined
Top 30% decoded
Insufficient data for a comparable rank
rural Washington schools
Performing as Expected
Achievement Rank
Raw test performance
Middle 40% achievement
Insufficient data for a comparable rank
rural Washington schools
Typical Profile
Decoded performance is roughly in line with expectations for this school's context.
Low data confidence — interpret these rankings carefully. Small samples or low participation reduce how strongly the data supports the result.
Data confidence:Low32 students tested 8 years95% participation
Confidence is computed from sample size, year coverage, and participation rate. Higher confidence means the rank shift is stable across years and not driven by a single small cohort.
- Tested students: total students with valid scores across all reported years.
- Years of data: number of school years included. More years smooths year-to-year noise.
- Participation: share of enrolled students who took the assessment. Low participation can bias scores.
What's driving this rank
Decoded Rank: #52 of 176
in rural Washington schools
Raw test scores rank this school #92, but after accounting for context, students here outperform what the data would predict. The Decoded Rank places it at #52.
Each component below is scored on a 0–100 within-metro scale. A qualitative band summarizes where the school lands.
- About averagePerforms above what its context predictsCounts for 35% of the rank
After accounting for income and demographics, does this school beat what the data would predict?
- Above averageStudents gain ground year over yearCounts for 30% of the rank
Are kids at this school learning faster than typical for the metro?
- About averageEquity within the schoolCounts for 15% of the rank
Are students clustered at similar levels, or split between top and bottom?
- StrongDirection over recent yearsCounts for 10% of the rank
Is this school's Decoded Rank trending up or down across the years we have data for?
- StrongMost students were testedCounts for 10% of the rank
Was the rank computed against a representative share of the school's students?
Show the numbersFor the methodology-curious
Each component is converted to a 0–100 within-metro percentile (100 = top of the metro). "Contribution" is the percentile-points the component adds to (or subtracts from) the metro median before the schools are re-ranked into the composite.
| Component | Weight | Percentile | Contribution |
|---|---|---|---|
| Performs above what its context predicts | 35% | 41 | -3.2 |
| Students gain ground year over year | 30% | 78 | +8.5 |
| Equity within the school | 15% | 42 | -1.2 |
| Direction over recent years | 10% | 100 | +5.0 |
| Most students were tested | 10% | 95 | +4.5 |
Why trust this?- Public data sources
- Context-adjusted model
- Confidence shown
- Methodology published
This score uses state assessment data, NCES enrollment data, and Census ACS 5-year neighborhood data. The Decoded Rank adjusts for school context — student demographics, ELL/SPED service rates, and the socioeconomic profile of the surrounding tract — and shows how the school performs relative to expectation, not in absolute terms.
SchoolDecoder is one signal, not a verdict. Decoded Rank is a context-adjusted residual, not a causal claim about teaching quality. See full methodology →
All Rankings
How this school ranks across the metro, state, and among demographic peers.
| Scope | Achievement | Decoded | Shift |
|---|---|---|---|
| Within Rural Washington (176 schools) | #92 | #52 | |
| WA (1506 schools) | #1003 | #238 |
Resource context
School inputs, not ranking points
These fields describe the school and surrounding neighborhood. They help readers interpret the page, but this is not a dollar-by-dollar or ratio-by-ratio scorecard and the fields here are not components of the Decoded Rank.
- Enrollment
- 206
- Free/reduced-price lunch
- 76.7%
- Student-teacher ratio
- 13.7:1
- Locale
- Rural, remote
- School type
- Regular public school
- Enrollment model
- Neighborhood attendance area
- Neighborhood median income
- $55,250ACS tract proxy
- Neighborhood poverty
- 0.2%ACS tract proxy
- SES index
- 13.6
- Assessment data year
- 2025
- CCD year
- 2024
- ACS vintage
- 2020-2024
High School Outcomes
Latest available dataGraduation 2025 · Coursework 2021 · AP exams 2015 · SAT/ACT 2021
- Graduation
- 91%
- 2025 cohort · 83% extended
- Advanced options
- Dual credit
- 31 students in advanced math · CRDC 2021
- SAT/ACT tested
- 22
- CRDC 2021
Data limitations
- Graduation uses state cohort data. Coursework, offerings, and SAT/ACT counts use the latest available federal CRDC extracts, which can lag current graduation data.
- SAT/ACT data is count-only in this extract; without an enrollment denominator, we do not treat it as a participation rate.
- HS Decoded Rank is alpha-only: it summarizes how the school's grade 10/11 test scores compare to expectations from its demographic context, ranked against other HSs in the same metro / state / rural cohort. Graduation, AP, and SAT/ACT data above are descriptive context — they are not yet blended into the composite rank.
Performance Spread
How students are distributed across the four state-assessment proficiency levels — L1: below standard, L2: approaching, L3: meets (proficient), L4: exceeds. This describes the shape of results at the school, not their height.
Students at this school are typically spread across proficiency levels.
- Level 1 — Below standard33%
- Level 2 — Approaching standard29%
- Level 3 — Meets standard (proficient)22%
- Level 4 — Exceeds standard16%
Performance Spread measures how evenly students are distributed across the L1..L4 proficiency ladder, treating the levels as an ordered scale (L1=1, L2=2, L3=3, L4=4) and weighting each by its student share. A school where most students cluster at one level has a TIGHT spread; a school split between the bottom and top has a WIDE or BIMODAL spread. Bimodal fires only when BOTH tails are non-trivial AND the middle is relatively hollow (pct_L1 ≥ 15, pct_L4 ≥ 25, pct_L2 + pct_L3 ≤ 60). It describes shape — NOT how high the school's scores are. Methodology
Nearby Schools
Sorted by distance. Both rank columns shown so you can compare quickly.
No nearby schools have been ranked yet.
Similar Schools
Schools with comparable demographics, income, and size. Both rank columns shown for direct comparison.
| School | Achievement | Decoded | Shift | Story | Confidence |
|---|---|---|---|---|---|
| Clover Park Early Learning Program | Rankings coming soon. | ||||
| Tieton Elementary School | #14 | #14 | ★Strong by Both Measures | High | |
| Midway Elementary | Rankings coming soon. | ||||
| Central Elementary School | Rankings coming soon. | ||||
| Lincoln Elementary | Rankings coming soon. | ||||
Historical Ranks
Year-by-year decoded and achievement ranks. Pandemic-affected years are excluded — we don't interpolate scores across the gap.
| Year | Achievement | Decoded | Shift |
|---|---|---|---|
| 2025 | Excluded | ||
| 2024 | Excluded | ||
| 2023 | Excluded | ||
Note: assessment transitions (where a state changes its test) are footnoted on the methodology page; trends are not computed across breakpoints.
Trajectory
Not enough years yet
Trajectory will appear with 2025-26 data once we have two or more years of rankings for this school.
How this works: we fit a linear trend across the available years of Decoded percentile, then bucket the slope into a direction. Wide confidence intervals (uncertain trends) collapse to Holding steady. See the methodology page for thresholds.
Cohort Progression
Kids who started 6th grade here in 2015 gained 88 proficiency points by 10th grade.
Based on 17 cohorts across math + ELA.
Learning rate: +9.8 proficiency points/yr (95% CI 3.5 to 16.1)
Medium confidence
| Cohort | 2015 | 2016 | 2017 | 2018 | 2019 | 2023 | 2024 | 2025 | Slope |
|---|---|---|---|---|---|---|---|---|---|
| ELA · started 8th in 2015 | G8 161 | — | |||||||
| ELA · started 7th in 2015 | G7 200 | G8 195 | G10 216 | +6.1 | |||||
| ELA · started 6th in 2015 | G6 200 | G7 193 | G8 224 | G10 288 | +24.0 | ||||
| ELA · started 6th in 2016 | G6 214 | G7 226 | G8 225 | +5.4 | |||||
| ELA · started 6th in 2017 | G6 205 | G7 226 | G8 229 | +11.9 | |||||
| ELA · started 6th in 2018 | G6 233 | G7 247 | +14.0 | ||||||
| ELA · started 6th in 2019 | G6 219 | G10 267 | +12.0 | ||||||
| ELA · started 10th in 2024 | G10 265 | — | |||||||
| ELA · started 8th in 2023 | G8 192 | G10 252 | +30.4 | ||||||
| ELA · started 7th in 2023 | G7 237 | G8 266 | +28.9 | ||||||
| ELA · started 6th in 2023 | G6 175 | G7 197 | G8 197 | +10.8 | |||||
| ELA · started 6th in 2024 | G6 197 | G7 207 | +10.4 | ||||||
| ELA · started 6th in 2025 | G6 173 | — | |||||||
| Math · started 8th in 2015 | G8 206 | — | |||||||
| Math · started 7th in 2015 | G7 228 | G8 247 | G10 169 | -22.3 | |||||
| Math · started 6th in 2015 | G6 191 | G7 228 | G8 215 | G10 171 | -7.8 | ||||
| Math · started 6th in 2016 | G6 204 | G7 211 | G8 186 | -8.7 | |||||
| Math · started 6th in 2017 | G6 — | G7 200 | G8 223 | +22.7 | |||||
| Math · started 6th in 2018 | G6 211 | G7 211 | -0.6 | ||||||
| Math · started 6th in 2019 | G6 197 | G10 — | — | ||||||
| Math · started 10th in 2024 | G10 — | — | |||||||
| Math · started 8th in 2023 | G8 150 | G10 — | — | ||||||
| Math · started 7th in 2023 | G7 167 | G8 — | — | ||||||
| Math · started 6th in 2023 | G6 142 | G7 156 | G8 — | +14.6 | |||||
| Math · started 6th in 2024 | G6 177 | G7 171 | -6.0 | ||||||
| Math · started 6th in 2025 | G6 — | — | |||||||
| Science · started 11th in 2018 | G11 — | — | |||||||
| Science · started 11th in 2019 | G11 225 | — | |||||||
| Science · started 11th in 2023 | G11 195 | — | |||||||
| Science · started 11th in 2024 | G11 213 | — | |||||||
| Science · started 11th in 2025 | G11 221 | — |
How this works: we follow each grade-cohort across years through the school (3rd graders in 2023 are 4th graders in 2024, etc.) and fit a linear slope on a 100–400 proficiency-points scale built from the state assessment's four levels (L1=1, L2=2, L3=3, L4=4, weighted by student share). This is the same construction Stanford SEDA uses (edopportunity.org/methods); it's not student-level tracking — we measure the school's cohort, not individuals. See the methodology page for thresholds.
Evidence & technical detailClick to expand
School Alpha
School Alpha is the residual between actual and expected performance once school context is held constant. It is a context-adjusted estimate, not a causal claim about teaching quality.
- Shrunk Alpha (95% CI)
- -0.01 (95% CI: -0.01 to -0.01)
SES index components
- SES method
- Blended SES index (ACS + FRL)
- SES index value
- 13.6
- FRL %
- 76.7%
- ELL %
- —
- SPED %
- —
- Tract median income (ACS 5-year)
- $55,250
- Tract poverty rate
- 0.2%
- Tract % bachelor's+
- 19.2%
What "Decoded Rank" means
Decoded Rank converts School Alpha — the context-adjusted residual — into a parent-facing rank within the metro pool. A higher Decoded Rank than Achievement Rank means the school's raw scores understate its performance once neighborhood and school context are held constant. The reverse means raw scores overstate it. The rank is one signal, not a verdict.