3-year cohort default rate
3-year cohort default rate at Daoist Traditions College of Chinese Medical Arts fell 100% between 2021 and 2024 (1.7% → 0.0%).
Asheville, North Carolina. 5 programs in the federal Field-of-Study dataset.
Short-arc shifts (recent 3-year window), peer outliers, earnings trend breaks, completion drops, enrollment cliffs, and debt-to-earnings warnings — surfaced deterministically from the federal record. Multi-decade shifts are reported separately in the Long Arc section, since 25-year tuition drift isn't really an anomaly.
3-year cohort default rate at Daoist Traditions College of Chinese Medical Arts fell 100% between 2021 and 2024 (1.7% → 0.0%).
Each tile compares this institution to the North Carolina median for the same metric. Sub-line shows the comparison value, not an interpretation. Sparklines trace the federally available history.
Pick a program. Cost from Scorecard net price by family income; earnings from Treasury 5-year-post-completion median, projected forward with a Mincer age-earnings curve. The selection-bias toggle applies the Dale-Krueger shrinkage. Outcomes illustration, not a forecast — see methodology.
Shrinks the earnings premium toward the matched-applicant mean. STEM <15%, business ~40%, arts & education ~60%.
Federal privacy rules suppressed earnings for Alternative and Complementary Medicine and Medical Systems · Master's Degree at Daoist Traditions College of Chinese Medical Arts(cohort below 30 students). The calculator can’t produce a number we’d stand behind, so we don’t.
Outcomes illustration · not a forecast. Projects observed Scorecard earnings forward with a Mincer age-earnings curve under your assumptions. See methodology for the math.
Picked by Carnegie sector × predominant credential level. These are not rankings — just nearest-neighbour surfaces for comparison.
Median earnings describe what cohorts earned. They do not describe what attending Daoist Traditions College of Chinese Medical Arts caused. Selection effects (who admits, who enrolls, who completes) are real. We publish federal data with strict descriptive phrasing — and link the methodology where you can read about the limitations directly.