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Curriculum outcome trends.

National Step 1 and Step 2 CK first-time pass-rate trends from USMLE Performance Data, what "distance from the national average" means, and how curriculum committees use cohort trends for continuous quality improvement — general guidance, no school-specific data.

Unofficial guide. This site is independent — not affiliated with the AAMC, NBME, USMLE, LCME, or NRMP. Figures below summarize the NBME's published USMLE Performance Data. Figures current as published through 2026-09-30.

Step 1 first-time pass-rate trend

Step 1 became pass/fail in January 2022, and the passing standard was raised from 194 to 196 at the same time. The "pass/fail effect" is unmistakable in the national data: the U.S. MD first-time pass rate fell from 96% to 93% in a single year, then kept drifting downward.

YearU.S. MD first-timeU.S. DO first-time
202196%94%
202293%89%
202392%87%
202491%86%

Source: USMLE Performance Data, published by the USMLE program. "First-time" means first attempt. Committees should read this as a regime change, not a curriculum failure: the entire nation moved together, and 2022–2024 is the comparable series — do not benchmark current cohorts against pre-2022 scored-era figures.

Step 2 CK: pass rates and score norms

Since Step 1 went pass/fail, Step 2 Clinical Knowledge is the score residency programs see. Its pass rate is far higher than Step 1's, while the national mean score has held steady.

MeasureFigurePeriod
U.S. MD first-time pass rate98%2022–2024
U.S. DO first-time pass rate96%2022–2024
Mean score (first-time takers)2492023–2024
Passing standard218Raised July 2025
Repeat-taker pass rate, U.S. MD74%2023–2024
Repeat-taker pass rate, U.S. DO72%2023–2024

Source: USMLE Performance Data. Note the repeat-taker drop: the pass rate falls to roughly three-quarters on a second attempt. That makes the first-attempt pass rate a student-success variable, not just an institutional metric — committees own it either way.

The residency stakes. The 2024 NRMP Program Director Survey documents the applicant factors directors weigh when deciding whom to interview. For curriculum committees, that turns first-attempt pass rates from an accreditation-adjacent statistic into a student-outcomes imperative.

Source: NRMP 2024 Program Director Survey; specialty-level Step 2 CK data — NRMP Charting Outcomes in the Match, 2024.

What "distance from national average" means

Regulators and peer reviewers rarely judge a school against a fixed pass-rate number. They look at distance from the national average: how far below (or above) the national first-time rate a school's cohort sits. The concept generalizes to any committee benchmark:

  • Distance is relative to the right reference. A 91% Step 1 pass rate was a red flag in 2021 (national: 96%) and below the mean in 2022 (national: 93%). The same number means different things in different years — always pair a local figure with that year's national figure.
  • Direction matters more than position. A school two points below the national rate with a narrowing gap over three years is a different story than one two points below with a widening gap. Committees should report gap trajectories, not just gaps.
  • First-time and eventual are different metrics. First-time pass rate reflects preparation; eventual pass rate (after retakes) reflects remediation capacity. Report both, labeled, and never let one stand in for the other in a leadership slide.

Using cohort trends for continuous improvement

Curriculum committees turn outcome trends into action. The discipline is the same whether the outcome is a Step pass rate, a shelf-exam mean, or an OSCE domain score:

  • Build multi-year views. One cohort's dip is a data point; three cohorts' drift is a trend. The national series above shows why: year-to-year wobble of a point or two is normal, regime changes (2022) are not.
  • Separate the cohort effect from the curriculum effect. Before attributing a change to a curricular intervention, check whether the cohort's entering credentials (MCAT, GPA — see the admissions funnel) moved too. A weaker entering class predicts weaker outcomes; that is measurement, not failure.
  • Disaggregate thoughtfully. National-vs-local gaps can hide subgroup patterns. Disaggregate by meaningful groups when the cohort is large enough to do so without identifying individuals — and treat subgroup findings as investigation prompts, not conclusions.
  • Close the loop in writing. A CQI cycle is: observe the trend, hypothesize the cause, intervene, re-measure, document. Committees that write down what they changed and what happened next build an institutional memory that survives turnover. Accreditation reviewers notice the difference — for that angle, see SILME.

Small cohorts need extra care

Most medical school classes are a few dozen to a couple hundred students. With small denominators, a handful of outcomes swing the percentage — a class of 60 where three students fail reports 95%; where five fail, 92%. That three-point "drop" is two people, not a trend. The benchmarking page covers small-n reporting discipline in detail: roll multi-year windows, report counts alongside rates, and resist the urge to react to a single cohort.

Sources

Figures as published through 2026-09-30. The NBME and NRMP publish new data on their own schedules; check the official sites for the latest editions.