Why nursing students fail the NCLEX

Why nursing students fail the NCLEX is a question that programs and graduates usually face after the result arrives. A graduate who was ready in May may not be licensed in August, and a cohort's pass rate can drop for a year without an obvious explanation. The national data show that first-attempt failure is concentrated in identifiable groups, and the peer-reviewed literature points to a short list of measurable risks. This article sets out those risks, what the evidence shows for each, and what students and programs can do about them.

What the national data show

NCSBN's 2025 NCLEX examination statistics report 192,916 first-time, US-educated candidates for the RN exam, of whom 167,272 passed, a rate of 86.7%. Repeat US-educated candidates numbered 42,513, and 22,404 of them passed, a rate of 52.7%. First-time internationally educated candidates passed at 47.3% (24,999 of 52,827), and repeat internationally educated candidates passed at 30.5% (12,271 of 40,187). Across all candidate types, 226,946 of 328,443 candidates passed, or 69.1%.

The same report breaks the first-time, US-educated rate into quarters. It was 88.4% for January to March, 89.1% for April to June, 84.0% for July to September, and 81.2% for October to December. This article does not attribute the quarterly movement to a cause. A program should compare its own cohorts and testing dates against these national figures.

For how the pass standard and state-level reporting work, see nclex pass rate standards by state.

How the exam measures clinical judgment

The 2026 NCLEX-RN test plan, effective April 2026, describes clinical judgment as an iterative, multistep process. Its six steps are recognize cues, analyze cues, prioritize hypotheses, generate solutions, take action, and evaluate outcomes. A case study contains six items on the same client presentation. The test plan states that clinical judgment is measured by 18 case study items (three item sets) and approximately 10% stand-alone items. Management of Care carries the largest share of items at 18%, followed by Pharmacological and Parenteral Therapies at 16% and Physiological Adaptation at 14%.

NCSBN's Clinical Judgment Measurement Model places its broadest layer, which defines the context of the clinical situation, at layer 0. Layer 3 outlines the cognitive aspects of clinical decision making that are directly measurable, and NCSBN describes it as the basis for test items and case studies. Layer 4 gives examples of contextual elements drawn from NCSBN's literature review.

The risk factors and what the evidence shows

The table below lists the risk factors with the strongest support in NCSBN data or in published studies. Most of the studies are single-institution, retrospective designs, so they describe patterns in particular programs rather than rules that apply everywhere.

Two of these rows need care in interpretation. The testing-delay finding comes from one retrospective cohort of BSN graduates from 2021 to 2024, so the two-to-four-week window is a hypothesis for a program to test, not a licensing rule. The test-anxiety finding concerns an exit exam, and none of the studies cited in this table measured test anxiety against NCLEX results.

What students can do

• Use the Candidate Performance Report after a failed attempt. It is a two-page individualized document that shows performance by test plan content area and clinical judgment categories. Each area is labeled Below, Near, or Above the Passing Standard.
• Study in the order NCSBN recommends. The agency advises starting with areas labeled Below the Passing Standard, then moving to those labeled Near, and keeping Above areas in review so that proficiency holds.
• Book the exam while course content is current. The testing-delay data suggest that a short gap after completion is associated with better results, so a graduate should plan the date before the program ends.
• Treat anxiety as a skill to train. The Moore authors recommend interventions to reduce test anxiety alongside remediation based on specialty exam scores, and a timed practice schedule is a practical way to build that tolerance.
• Track the clinical judgment steps in practice questions. Labeling each missed question with the step it tests, such as analyze cues or prioritize hypotheses, shows whether errors come from knowledge or from reasoning.

What programs can do

• Flag course failures early. Graham and colleagues found that course failure during nursing school was the strongest predictor of first-time failure, and they call for full program data reviews to drive lasting change.
• Read cumulative GPA and specialty exam scores together rather than separately. The Mahmoud study found cumulative GPA to be a significant predictor in accelerated programs, and the Moore study found that specialty scores and final GPA together explained 39% of exit exam variance.
• Measure the gap between completion and the first attempt. If graduates test after about ten weeks, the program can schedule review sessions or advising before that point.
• Map practice items to the six test plan steps so that remediation targets the reasoning step where a student is weakest, not only the content area.

Programs that want to rehearse these steps between term exams can use clinical simulation. NGN Simulation Labs builds unscripted AI patient encounters inside an EHR-style chart, including spoken OSCE practice, adaptive study with a placement check, faculty-facing competency analytics, and a design that runs alongside an existing LMS. The free licensure map at the licensure map covers 57 roles across 64 jurisdictions, and a pilot can be requested at the pilot process.