Worst Countries for Academic Misconduct 2026: AMI Rankings
The 10 countries with the highest estimated academic misconduct prevalence in 2026. China leads with P=99.98; nine of the top 10 are in Q3 (Crisis zone). Norway is the methodology anomaly. Country-level breakdown of what drives each score.
TL;DR
Top 10 Prevalence (P) scores in AMI v1.5: China 99.98, Colombia 77.38, Argentina 74.57, Greece 74.00, Egypt 64.60, Pakistan 59.08, Norway 57.16 (methodology anomaly), Iran 57.00, Thailand 55.67, Saudi Arabia 53.98.
TL;DR
Top 10 Prevalence scores in AMI v1.5: China 99.98, Colombia 77.38, Argentina 74.57, Greece 74.00, Egypt 64.60, Pakistan 59.08, Norway 57.16, Iran 57.00, Thailand 55.67, Saudi Arabia 53.98. Nine of the top 10 are in Q3 (Crisis zone). Norway is the methodology anomaly.
The top 10 — full breakdown
| Rank | Country | P-Score | R-Score | Quadrant | Key driver |
|---|---|---|---|---|---|
| 1 | China | 99.98 | 23.8 | Q3 | Data fabrication (D6=100) + paper mills |
| 2 | Colombia | 77.38 | 16.5 | Q3 | Maxed Spanish demand (D1=D2=100) |
| 3 | Argentina | 74.57 | 18.0 | Q3 | Maxed Spanish demand (D1=D2=100) |
| 4 | Greece | 74.00 | 20.0 | Q3 | Maxed Greek demand (D1=D2=100) |
| 5 | Egypt | 64.60 | 12.0 | Q3 | AI demand (D2=100) + retractions |
| 6 | Pakistan | 59.08 | 14.2 | Q3 | Contract cheating (D1=100) + fabrication |
| 7 | Norway | 57.16 | 47.5 | Q3 | Methodology anomaly |
| 8 | Iran | 57.00 | 13.2 | Q3 | AI demand (D2=100) + plagiarism |
| 9 | Thailand | 55.67 | 19.0 | Q3 | Contract cheating + plagiarism |
| 10 | Saudi Arabia | 53.98 | 17.5 | Q3 | AI demand (D2=100) |
All ten are in Q3 (Crisis zone) — high Prevalence combined with weak Response.
What drives each country
China (P=99.98)
The highest score in the dataset. Driven by:
- D6=100 — highest data fabrication rate per publication
- Documented paper mill industry (Fang et al. 2012, Liang et al. 2024)
- Elevated D1, D4, D5 signals
Colombia, Argentina, Greece (all D1=D2=100)
Spanish-language and Greek-language search demand maxed. Limited institutional response. These three are structurally similar — high demand signals with no specific essay mill legislation and weak disclosure.
Egypt (P=64.60)
AI submission demand maxed (D2=100), elevated data fabrication (D6=60), high plagiarism (D4=68). Combined with the lowest Response Quality in the dataset (R=12.0) — Egypt sits at the intersection of high demand and weakest response.
Pakistan (P=59.08)
Contract cheating demand maxed (D1=100), high plagiarism (D4=72) and data fabrication (D6=65). HEC framework exists on paper but enforcement lags.
Norway (P=57.16) — the methodology anomaly
Driven by:
- D1=50, D2=31 — moderate signals (not extreme)
- The overall P-Score is elevated by methodology weighting rather than extreme dimension scores
- The Norwegian academic and policy community generates high Google Trends volume on integrity topics
- Genuinely low actual misconduct per literature evidence
Norway should be read with the methodology caveat. Future versions may resolve the issue.
Iran (P=57.00)
AI submission demand maxed (D2=100), high plagiarism (D4=65), high collusion (D5=69), elevated fabrication (D6=65). Sanctions limit detection infrastructure access.
Thailand (P=55.67)
Elevated contract cheating (D1=67) and plagiarism (D4=60). Partial detection deployment at top institutions; broader sector less covered.
Saudi Arabia (P=53.98)
AI submission demand maxed (D2=100), elevated D1 (83). Vision 2030 reforms in early stages.
Patterns
The Spanish-language cluster
Colombia, Argentina (positions 2 and 3) share a profile. Maxed Google Trends signals on essay mill and AI submission terms drive the rankings.
The Middle East cluster
Egypt, Iran, Saudi Arabia all in the top 10 (positions 5, 8, 10). All show maxed D2 (AI submission demand) and limited institutional response.
Data fabrication is China-specific
China is the only country with D6 at 100. No other country combines high D6 with consistent elevation across other dimensions. This is the principal driver of China's first-place position.
Norway is the outlier
The only top-10 country with R>20. Norway's R=47.5 is in the top quartile of the dataset. The country profile is structurally different from the other nine top-Prevalence countries.
Q3 is mostly the top 10
The 10 top-Prevalence countries are all in Q3 (Crisis zone). Q3 has 12 countries total — the top 10 here, plus Mexico (P=51.36) and Poland (P=51.19) at positions 11 and 12.
The 12 Q3 countries share:
- High estimated Prevalence
- Weak institutional response
- Variable demand-vs-incidence drivers
- Common need for response infrastructure investment
Country comparison with the bottom 10
| Position | Country | P-Score |
|---|---|---|
| 1 (highest) | China | 99.98 |
| Mid | Russia | 37.53 |
| 38 (lowest) | Australia | 7.43 |
| 39 (lowest) | Canada | 4.90 |
The Canada–China gap is the full dataset range — from P=4.90 to P=99.98. A 20x difference in estimated prevalence (after rescaling).
What these scores do not mean
They do not mean every student in China cheats
P=99.98 reflects the country-level aggregate signal across six dimensions. It is the highest *country* score in the dataset, not a statement about individual students. The vast majority of Chinese graduates earn their qualifications legitimately.
They do not rank universities
The country-level scores aggregate across diverse institutions. Substantial within-country variance is expected.
They are not absolute measurements
Scores are rescaled within the 39-country set. Adding or removing countries shifts the scale.
They are estimates with known uncertainty
The Norway methodology caveat is the most prominent example. All scores carry methodology uncertainty documented in the AMI methodology document.
Sources
- AMI v1.5 dataset and methodology
- Retraction Watch Database, Crossref/GitLab (April 2026)
- Google Trends API (2022–2026)
- Fang, Steen & Casadevall (2012), PNAS
- Liang et al. (2024), Nature
Full methodology | Download dataset
Related
Frequently asked questions
Which country has the worst academic misconduct prevalence?
China scores P=99.98 on the Academic Misconduct Index 2026 — the highest Prevalence score of 39 countries. The score is driven by the highest data fabrication rate in the Retraction Watch database (D6=100), elevated AI submission demand (D2=68), and high plagiarism (D4=73).
Is Norway really one of the worst countries for academic misconduct?
Norway's P=57.16 (seventh highest globally) is the most prominent methodology anomaly in the AMI dataset. The elevated score is largely driven by Google Trends signal interpretation — Norway's high digital engagement and open academic discussion of AI topics produces search volume that the methodology interprets as student demand. Norwegian institutional infrastructure (NESH guidelines, the 2017 Research Ethics Act) is genuinely strong; actual misconduct rates per the literature are low.
How is academic misconduct measured across countries?
The AMI Prevalence Score is built from six dimensions: D1 contract cheating (Google Trends), D2 AI submissions (Google Trends + FOI), D3 exam impersonation (literature), D4 plagiarism (ICAI/McCabe surveys), D5 collusion (ICAI/McCabe), D6 data fabrication (Retraction Watch). Each dimension is normalised to 0–100 across the 39-country set; the aggregate P-Score is then rescaled to a 5–95 scale within the set.
How to cite this article
APA: Booth, F. (2026). Worst Countries for Academic Misconduct 2026: AMI Rankings. Academic Misconduct Index. https://academicmisconductindex.com/blog/worst-countries-academic-misconduct-2026
BibTeX: @misc{booth2026worst, author={Booth, Francisco}, title={Worst Countries for Academic Misconduct 2026: AMI Rankings}, year={2026}, url={https://academicmisconductindex.com/blog/worst-countries-academic-misconduct-2026}}
Francisco Booth
Independent researcher, founder of the Academic Misconduct Index
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