Cybercrimes occurred, by type of negative effects caused to the victim | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
September 2018 to August 2019 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Total cybercrimes occurred | | Negative effects caused to the victim 2* | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| | My reputation was affected | | | My credibility as a person was affected | | | I was blocked or restricted from using my networks, accounts or similar | | | I was blocked or restricted from using my networks, accounts or similar | | | My privacy was exposed to public opinion | | | It caused personal conflicts with my family, friends or acquaintances | | | It caused working conflicts | | | It caused me legal problems | | | I had no negative effect because of this incident | | | Other type of affectation (specify) | |
| | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage | | Absolute | Percentage |
SAINT LUCIA | 4,843 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
All cybercrimes 1* | | 76 | 1.6 | | 192 | 4.0 | | 345 | 7.1 | | 0 | 0.0 | | 192 | 4.0 | | 588 | 12.1 | | 0 | 0.0 | | 0 | 0.0 | | 2 884 | 59.6 | | 70 | 1.4 |
1* Includes all incidents of cyberbullying, malware, email hacking, social media hacking and ransomware. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
2* Respondents might have chosen more than one option. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Note 1: The estimates that appear in this tabulation are shadowed according to their level of precision in High, Moderate and Low, taking the Coefficient of Variation CV (%) as a reference. If the values are closer to 0 it indicates the estimate is more precise and vice versa. Moderate and Low precision requires a cautious use of the estimates in which the causes of high variability are analyzed and other indicators of precision and reliability are considered, such as the confidence interval. See table below for level of precision of the estimates: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
High: Indicates a CV (%) on a range of (0, 25) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Moderate: Indicates a CV (%) on a range of (25, 50) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Low: Indicates a CV (%) on a range of (50+) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Source: SLNCVS. Saint Lucia National Crime Victimization Survey, 2020. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |