District report card · CMAS 2024–2026

Garfield Re-2Draft

Mid-size town district · about 1,923 students tested a year in grades 3–8 · 4,417 students in district-run schools (K–12)
−0.2
points vs. what its
demographics predict

Based on its families’ demographics, Garfield Re-2 would be expected to rank #82 of 105 Colorado districts, with 30% of students meeting or exceeding expectations in English and 24% in math. It actually ranks #71, with 32% and 22%. That is 0.2 percentage points below what its demographics predict, which ranks it #43 of 105 on performance vs. demographics. The difference is within normal year-to-year variation.

#43 of 105 statewide · likely #35–#57#16 of 49 mid-size districts#9 of 28 town districts#2 of 9 among its most similar districts

Where demographics would place it, and where it lands

Statewide rank, English and math combined
Hollow: predicted from demographics. Filled: actual results. #1 is the highest share of students meeting expectations.
#1 (best)#25#50#75#105Predicted #82Actual #71
SubjectExpectedActualOver/under (pts)Rank: predicted → actualRank vs. demographics
English30%32%+1.3 ±1.0#87 → #72#37
Math24%22%−1.8 ±2.4#80 → #73#56

Met or exceeded expectations on CMAS, grades 3–8, 2024–2026 combined. District results include district-run neighborhood, choice and magnet schools, but not charter or online schools. ± is a 90% range for normal year-to-year swings.

Over time

Met or exceeded expectations, by year
Dashed: expected from demographics.
10%20%30%40%202420252026English 30%Math 24%
Growth
CDE median growth percentile, 2024–2026: how much students improved compared with students statewide who started at the same level. 50 is typical.
English growth
48
median growth percentile
Math growth
50
median growth percentile

Growth depends much less on family background than test scores do, so it is the closer measure of what schools add in a given year.

Compared with its most similar districts

Over/under, percentage points (English and math)
The eight districts closest on parents’ education, free/reduced lunch, English learners, special education and size. Blue: above prediction; red: below; gray: within normal swings. Lines: 90% range.
Weld County School District RE-…+2.3Garfield Re-2−0.2Weld County RE-1−0.9Weld Re-8 Schools−1.7School District 27J−3.8Summit RE-1−4.2Fort Morgan Re-3−4.9Eagle County RE 50−5.7Bennett 29J−10.0

Who it serves

The measures behind the prediction
Bars: this district. Black tick: Colorado average across ranked districts, weighted by students.
Parents with a bachelor’s degree+22%Free/reduced-price lunch46%English learners32%Students with IEPs13%

Parents’ education: parents of public-school children (Census ACS 2019–2023, NCES tabulation). For context, not in the prediction: all adults with a bachelor’s degree+ 23%; median household income $84,103.

Its schools

Neighborhood schools
Compared with Colorado schools serving similar students (income and education of the area, free/reduced lunch, English learners, special education). Points are CMAS scale-score points vs. expected, 2024–2026.
SchoolMet/exceeded
Eng / Math
Vs. expected
English
Vs. expected
Math
Growth
Highland Elementary SchoolElementary · grades 3–526% / 20%−4.9−5.354
Kathryn Senor Elementary SchoolElementary · grades 3–536% / 34%−5.7−5.551
Wamsley Elementary SchoolElementary · grades 3–527% / 17%−3.7−8.351
Cactus Valley Elementary SchoolElementary · grades 3–534% / 29%−11.8−9.651
Elk Creek ElementaryElementary · grades 3–525% / 23%−13.6−10.039
Graham Mesa Elementary SchoolElementary · grades 3–528% / 21%−11.6−12.132
Rifle Middle SchoolMiddle · grades 6–827% / 17%−2.0−1.948
Riverside SchoolMiddle · grades 6–842% / 24%−1.3−5.653

How to read this

The expected result comes from a statistical model fit across all ranked Colorado districts: parents’ education, free/reduced lunch, English learners and special education explain about 90% of the differences in district results. Over/under is what remains — the part the demographics don’t account for, which includes the schools themselves but also anything else those measures miss. Each district’s expected value is predicted from the other districts. Full method and caveats.