Cyber Fraud Rates by Country 2026
Cyber fraud has emerged as one of the fastest-growing criminal threats in the digital age. This analysis presents cyber-related fraud rates per 100,000 population across 45 countries, based on official data reported to the United Nations Office on Drugs and Crime (UNODC).
[TABLE2|title=Cyber Fraud Rates by Country Per 100k Population]
What is Cyber Fraud?
Cyber fraud refers to fraudulent schemes conducted through digital means, including the internet, computers, and mobile devices. Common types include:
- Phishing – Deceptive emails or websites stealing personal information
- Online shopping scams – Fake e-commerce sites or non-delivery of goods
- Romance scams – Fraudsters building fake relationships to extract money
- Investment fraud – Fake cryptocurrency or trading platforms
- Tech support scams – Fake warnings demanding payment for non-existent problems
Important Note on Interpreting This Data
Cyber fraud statistics depend heavily on digital infrastructure, reporting awareness, and law enforcement capabilities to track online crimes. Many victims do not report cyber fraud due to embarrassment, small losses, or belief that perpetrators cannot be caught. Countries with dedicated cybercrime units and public awareness campaigns typically report higher rates.
Key Findings
Spain leads with 489 cyber fraud cases per 100,000 population in 2022, followed by Liechtenstein (468) and Singapore (435). These high rates reflect both significant cyber fraud activity and effective detection systems.
Singapore's rate doubled from 218 in 2020 to 435 in 2022, reflecting the surge in online scams targeting the highly connected population. Costa Rica showed even more dramatic growth, tripling from 80.41 to 250 over the same period.
Germany (289), Austria (204), and Italy (171) show substantial rates among major European economies. The United Kingdom recorded 155, relatively moderate compared to other developed nations.
Poland's rate increased significantly from 128 in 2020 to 232 in 2022, indicating growing cyber fraud challenges in Eastern Europe.
Many countries show very low rates (under 5), likely indicating limited reporting infrastructure or classification of cyber fraud under general fraud categories rather than actual low cybercrime levels.
Cyber Fraud Rates by Country Per 100k Population
| # |
Country
|
2020
|
2021
|
2022
|
|---|---|---|---|---|
| 1 |
|
536 | 418 | 489 |
| 2 |
|
160 | 433 | 468 |
| 3 |
|
218 | 329 | 435 |
| 4 |
|
280 | 298 | 289 |
| 5 |
|
80.41 | 158 | 250 |
| 6 |
|
128 | 205 | 232 |
| 7 |
|
119 | 142 | 204 |
| 8 |
|
165 | 203 | 171 |
| 9 |
|
157 | 146 | 155 |
| 10 |
|
97.49 | 102 | 120 |
| 11 |
|
92.49 | 105 | 106 |
| 12 |
|
19.99 | 41.22 | 90.42 |
| 13 |
|
48.3 | 63.09 | 89.15 |
| 14 |
|
63.39 | 75.46 | 88.31 |
| 15 |
|
36.11 | 48.8 | 81.59 |
| 16 |
|
11.13 | 35.06 | 53.85 |
| 17 |
|
24.05 | 29.51 | 36.47 |
| 18 |
|
21.64 | 32.13 | 35.84 |
| 19 |
|
27.09 | 23.21 | 35.76 |
| 20 |
|
31.37 | 39.45 | 29.45 |
| 21 |
|
53.81 | 35.32 | 26.41 |
| 22 |
|
- | 13.4 | 19.79 |
| 23 |
|
13.39 | 29.1 | 17.26 |
| 24 |
|
- | - | 14.14 |
| 25 |
|
6.66 | - | 14.04 |
| 26 |
|
3.73 | 5.86 | 5.09 |
| 27 |
|
1.17 | 2.72 | 2.72 |
| 28 |
|
1.44 | 1.77 | 2.33 |
| 29 |
|
3.3 | 1.24 | 2.2 |
| 30 |
|
3.21 | - | 1.97 |
| 31 |
|
1.45 | 2.15 | 1.96 |
| 32 |
|
0 | 0.49 | 1.1 |
| 33 |
|
1.14 | 0.77 | 0.99 |
| 34 |
|
0 | 1.94 | 0.98 |
| 35 |
|
0.49 | 1.16 | 0.81 |
| 36 |
|
0.12 | 0.63 | 0.8 |
| 37 |
|
- | - | 0.4 |
| 38 |
|
0 | 0.25 | 0.25 |
| 39 |
|
0.1 | - | 0.11 |
| 40 |
|
0.03 | - | 0.01 |
| 41 |
|
3.9 | 0 | 0 |
| 42 |
|
33.22 | - | - |
| 43 |
|
18.16 | - | - |
| 44 |
|
4.44 | - | - |
| 45 |
|
0.01 | - | - |
Data Source
- Source: UNODC (United Nations Office on Drugs and Crime) – Corruption and Economic Crime Statistics
- Unit: Rate per 100,000 population
- Years covered: 2020, 2021, 2022
- Countries included: 45 countries with available data
Frequently Asked Questions
Why has cyber fraud increased so dramatically in recent years?
Cyber fraud has surged due to several factors: the COVID-19 pandemic pushed more activities online, creating new targets; increased use of digital payments and e-commerce expanded attack surfaces; sophisticated phishing tools became widely available; cryptocurrency enabled anonymous payments to criminals; and many users lack digital literacy to recognize scams. Countries like Singapore and Costa Rica saw rates double or triple between 2020-2022.
Why do only 45 countries have cyber fraud data?
Many countries do not separately track cyber-related fraud, instead including it in general fraud statistics. Some nations lack specialized cybercrime units capable of identifying and classifying online fraud. Additionally, cyber fraud is a relatively new category in crime statistics, and international standardization of definitions is still evolving. Countries with low digital infrastructure may also have genuinely lower cyber fraud rates.
Data Disclaimer: Projected data (future years) are estimates based on mathematical models. Actual values may differ. Learn about our methodology →
Sources
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Updated: 09.12.2025https://dataunodc.un.org/dp-crime-corruption-offences
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