Wishkah Valley Elementary/High School
Aberdeen, WA · Grades K–12
NeighborhoodDecoded Rank
All factors combined
Middle 40% decoded
#82 of 176
rural Washington schools
Performing as Expected
#729 in WA
Achievement Rank
Raw test performance
Top 30% achievement
#44 of 176
rural Washington schools
#673 in WA
Typical Profile
Raw achievement and decoded performance are both close to expected for this school's context.
Data confidence:Medium76 students tested 8 years96% 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: #82 of 176
in rural Washington schools
Raw test scores rank this school #44, but families here have higher-than-average income and educational attainment, so the expected score is also high. After accounting for context, this school performs about as predicted — the Decoded Rank is #82.
Each component below is scored on a 0–100 within-metro scale. A qualitative band summarizes where the school lands.
- Above 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?
- LowStudents 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?
- About averageDirection 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% | 77 | +9.5 |
| Students gain ground year over year | 30% | 15 | -10.4 |
| Equity within the school | 15% | 57 | +1.1 |
| Direction over recent years | 10% | 50 | +0.0 |
| Most students were tested | 10% | 96 | +4.6 |
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) | #44 | #82 | |
| WA (1506 schools) | #673 | #729 |
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
- 178
- Free/reduced-price lunch
- 60.7%
- Student-teacher ratio
- 10.5:1
- Locale
- Rural, distant
- School type
- Regular public school
- Enrollment model
- Neighborhood attendance area
- Neighborhood median income
- $67,880ACS tract proxy
- Neighborhood poverty
- 0.2%ACS tract proxy
- SES index
- 20.3
- 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
- Advanced options
- Dual credit
- 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 standard23%
- Level 2 — Approaching standard33%
- Level 3 — Meets standard (proficient)22%
- Level 4 — Exceeds standard22%
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 |
|---|---|---|---|---|---|
| Crossroads High School | Rankings coming soon. | ||||
| Long Beach Elementary School | Rankings coming soon. | ||||
| JJ Smith Elementary | Rankings coming soon. | ||||
| Valley School | #115 | #84 | Typical Profile | Medium | |
| La Conner Elementary | #28 | #38 | Typical Profile | Medium | |
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 4th grade here in 2015 lost 78 proficiency points by 8th grade.
Cohort-to-cohort variance is high — interpret the headline cautiously.
Learning rate: -9.8 proficiency points/yr (95% CI -29.7 to 10.0)
Low confidence
| Cohort | 2015 | 2016 | 2017 | 2018 | 2019 | 2023 | 2024 | 2025 | Slope |
|---|---|---|---|---|---|---|---|---|---|
| ELA · started 8th in 2015 | G8 — | — | |||||||
| ELA · started 7th in 2015 | G7 256 | G8 194 | G10 257 | +4.8 | |||||
| ELA · started 6th in 2015 | G6 274 | G7 205 | G8 209 | G10 268 | +2.7 | ||||
| ELA · started 5th in 2015 | G5 215 | G6 177 | G7 200 | G8 191 | -5.0 | ||||
| ELA · started 4th in 2015 | G4 293 | G5 269 | G6 239 | G7 208 | G8 215 | -21.7 | |||
| ELA · started 3rd in 2015 | G3 — | G4 — | G5 200 | G6 — | G7 — | — | |||
| ELA · started 3rd in 2016 | G3 289 | G4 344 | G5 230 | G6 — | G10 285 | -2.5 | |||
| ELA · started 3rd in 2017 | G3 192 | G4 250 | G5 — | G10 — | +58.3 | ||||
| ELA · started 3rd in 2018 | G3 208 | G4 225 | G8 200 | G10 291 | +7.9 | ||||
| ELA · started 3rd in 2019 | G3 230 | G7 — | G8 — | — | |||||
| ELA · started 6th in 2023 | G6 182 | G7 184 | G8 186 | +1.7 | |||||
| ELA · started 5th in 2023 | G5 183 | G6 231 | G7 207 | +11.9 | |||||
| ELA · started 4th in 2023 | G4 253 | G5 195 | G6 267 | +6.7 | |||||
| ELA · started 3rd in 2023 | G3 245 | G4 267 | G5 — | +21.2 | |||||
| ELA · started 3rd in 2024 | G3 260 | G4 283 | +23.3 | ||||||
| ELA · started 3rd in 2025 | G3 — | — | |||||||
| Math · started 8th in 2015 | G8 — | — | |||||||
| Math · started 7th in 2015 | G7 256 | G8 206 | G10 — | -50.0 | |||||
| Math · started 6th in 2015 | G6 284 | G7 248 | G8 195 | G10 — | -44.4 | ||||
| Math · started 5th in 2015 | G5 231 | G6 — | G7 207 | G8 — | -11.8 | ||||
| Math · started 4th in 2015 | G4 320 | G5 277 | G6 206 | G7 — | G8 — | -57.2 | |||
| Math · started 3rd in 2015 | G3 — | G4 — | G5 170 | G6 — | G7 — | — | |||
| Math · started 3rd in 2016 | G3 267 | G4 278 | G5 — | G6 — | G10 — | +11.1 | |||
| Math · started 3rd in 2017 | G3 183 | G4 — | G5 — | G10 — | — | ||||
| Math · started 3rd in 2018 | G3 192 | G4 283 | G8 — | G10 — | +91.7 | ||||
| Math · started 3rd in 2019 | G3 — | G7 — | G8 — | — | |||||
| Math · started 6th in 2023 | G6 — | G7 — | G8 — | — | |||||
| Math · started 5th in 2023 | G5 — | G6 — | G7 — | — | |||||
| Math · started 4th in 2023 | G4 280 | G5 186 | G6 233 | -23.3 | |||||
| Math · started 3rd in 2023 | G3 — | G4 233 | G5 — | — | |||||
| Math · started 3rd in 2024 | G3 250 | G4 — | — | ||||||
| Math · started 3rd in 2025 | G3 233 | — | |||||||
| Science · started 11th in 2018 | G11 — | — | |||||||
| Science · started 11th in 2019 | G11 240 | — | |||||||
| Science · started 11th in 2023 | G11 — | — | |||||||
| Science · started 11th in 2024 | G11 246 | — | |||||||
| Science · started 11th in 2025 | G11 — | — |
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)
- +0.29 (95% CI: -0.00 to +0.58)
SES index components
- SES method
- Blended SES index (ACS + FRL)
- SES index value
- 20.3
- FRL %
- 60.7%
- ELL %
- —
- SPED %
- —
- Tract median income (ACS 5-year)
- $67,880
- Tract poverty rate
- 0.2%
- Tract % bachelor's+
- 11.2%
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.