United States: Academic Misconduct Index Country Profile
The United States scores P=48.2 and R=51.2 on the Academic Misconduct Index — high Prevalence by Anglophone standards but with strong detection infrastructure pushing it just into Q1. Here is what drives the US position and where the gaps lie.
TL;DR
The United States scores P=48.15, R=51.2, Q1 (Best in class). The only major Anglophone country outside Q1 on prevalence is Norway. Strong detection deployment (R_det=80) but weaker legislative and disclosure infrastructure than Q1 peers. The thirteenth highest Prevalence in the dataset.
TL;DR
United States: P=48.15, R=51.2, Q1 (Best in class — just). The only major Anglophone country outside Q1 on Prevalence is Norway. Strong detection deployment (R_det=80) but no federal essay mill ban, no mandatory federal disclosure. The narrowest Q1 placement in the dataset.
AMI scores at a glance
- Prevalence Score (P): 48.15 — 13th of 39 countries
- Response Quality (R): 51.2 — tied 9th highest with Netherlands
- Quadrant: Q1 — Best in class
- Data quality: A (5/6 dimensions from live data)
- Region: North America
Dimension breakdown
| Dimension | Score |
|---|---|
| D1 Contract cheating | 50 |
| D2 AI submissions | 44 |
| D3 Exam impersonation | 10 |
| D4 Plagiarism | 45 |
| D5 Collusion | 68 |
| D6 Data fabrication | 30 |
What drives the US Prevalence score
Contract cheating (D1 = 50)
US Google Trends data for essay mill terms is moderate — well below Latin American countries (D1=100) but above other Q1 peers like Australia (D1=33) or the UK (D1=33). The US essay mill market is large in absolute terms; the per-capita signal is moderate.
Collusion (D5 = 68)
The US D5 score is notably high — tied for one of the highest in the dataset. This reflects McCabe survey findings of elevated rates of unauthorised collaboration among US undergraduates, particularly in STEM disciplines with group-problem-set cultures. The McCabe data has been one of the more reliable signals for the US dimension scores.
AI submissions (D2 = 44)
Moderate AI submission demand signal. US universities have responded relatively early to ChatGPT-era cheating — many introduced AI detection in Turnitin and Copyleaks from 2023 onward. The demand signal is moderated by widespread institutional AI policies.
Why the US is in Q1 not Q2
The US sits in Q1 because the combination of R=51.2 and P=48.15 puts it on the high-Response side of the prevalence-response distribution. However, it is the most marginal Q1 placement in the dataset — a small Prevalence increase would move the US to Q2 (Aware and fighting it).
The Q2 quadrant is currently empty in v1.5. If any country were to first appear in Q2 in future versions, the US is among the most likely candidates.
What the US does well (R = 51.2)
The breakdown:
- Legislation: 30 — federal research misconduct definitions; no essay mill ban
- Detection tools: 80 — second highest in dataset
- Disclosure: 40 — Clery Act and Title IX frameworks adjacent to integrity
- Penalties: 55 — institutional codes are mature
The R_det=80 score reflects near-universal Turnitin deployment across US higher education, plus the early adoption of AI detection tools. ORI (Office of Research Integrity) provides federal oversight for research misconduct in federally-funded research, contributing to the legislation sub-score.
Where the US lags
The US has no federal essay mill ban (Australia, Ireland, UK all do). There is no federal mandatory disclosure of misconduct statistics — universities self-report inconsistently. The fragmented institutional landscape means integrity standards vary significantly between an Ivy League institution, a state flagship, a community college, and an unaccredited for-profit.
Implications
For US policymakers, the gap from Australia (R=88.8) or the UK (R=87.5) is primarily legislative and disclosure-related. State-level essay mill bans have been discussed [verify specific states] but no federal action has progressed.
For employers and admissions offices, US credentials reflect the institutional reputation more than country-level integrity infrastructure. The variance within the US system is substantial.
Sources
- McCabe ICAI survey data (US-specific)
- Office of Research Integrity (ORI) data
- Retraction Watch Database, Crossref/GitLab (2026)
- Google Trends (2022–2026), US country-level
- Academic Misconduct Index v1.5 methodology
View full methodology | Download dataset
Related data
Frequently asked questions
What is the United States' academic misconduct score?
The United States scores P=48.15 (Prevalence) and R=51.2 (Response Quality) on the Academic Misconduct Index 2026. The US is in Q1 (Best in class), though by a narrower margin than other Q1 countries like Australia or the UK. The P-Score is the thirteenth highest in the dataset.
Why does the US have higher cheating prevalence than Australia or the UK?
The US Prevalence score of 48.15 is well above Australia (7.43) and the UK (11.41). The gap is driven by three factors: no federal essay mill ban (unlike Australia, UK, Ireland), no mandatory federal disclosure of misconduct statistics, and a fragmented university system where integrity policy varies significantly between institutions. Detection tool adoption is strong, but the supply-side and disclosure infrastructure lags.
What does the US do well on academic integrity?
The United States has the second highest detection tool deployment in the dataset (R_det=80), reflecting near-universal Turnitin adoption, Title IX investigative structures applied to academic integrity in some cases, and a mature institutional integrity office model. Honor codes at institutions like the University of Virginia and Princeton have set global standards for student-led integrity systems.
How to cite this article
APA: Booth, F. (2026). United States: Academic Misconduct Index Country Profile. Academic Misconduct Index. https://academicmisconductindex.com/blog/united-states-academic-misconduct-profile
BibTeX: @misc{booth2026united, author={Booth, Francisco}, title={United States: Academic Misconduct Index Country Profile}, year={2026}, url={https://academicmisconductindex.com/blog/united-states-academic-misconduct-profile}}
Francisco Booth
Independent researcher, founder of the Academic Misconduct Index
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