Andorra

Andorra regularly completes ODIHR's annual questionnaire. Andorra's criminal code includes a general penalty enhancement provision. Hate crime data are collected by the Ministry of Justice and the Interior Ministry's Police Department.

How hate crime data is collected in Andorra

How hate crime data is collected in Andorra

The National Police Corps' (Cos de Policia) Centre for Data Processing (CDP) is the department responsible for collecting and storing hate crime data. The CDP is the body to which hate crimes are reported and which manages this data for statistical and criminal analyses.

The police corps, regardless of the victim's decision to press charges or not, will evaluate the elements of a case and inform the prosecutor if the CDP considers that there is enough evidence to open a hate crime case. The prosecutor will then examine the case in depth and qualify it according to the criminal code. The CDP will take into account the specific nature of the crime and the incriminating elements to be found in the criminal code.

There is still no policy document providing guidance to police officers on hate crimes. There is also no official system for recording hate crimes, as there have not been cases of hate crime in Andorra and the need to monitor targeted groups has not arisen.

Access more information at the Legislation Online website Legislationline TANDIS Access more information at the Tolerance and Non-Discrimination Information System (TANDIS) website

OFFICIAL DATA

Year Hate crimes recorded by police Prosecuted Sentenced
2019 1 1 1
2018 0 0 0
2017 0 0 0
2016 0 0 0
2015 0 0 0
2014 0 0 0
2013 0 0 0
2012 0 0 0
2011 0 0 0
2010 0 0 0
2009 0 0 0

About 2018 Data

    No hate crimes were reported. The Andorran police recorded one case of misogynistic, homophobic and xenophobic insults committed online.

INCIDENTS REPORTED BY OTHER SOURCES

No information is available.

INTERNATIONAL REPORTS

No information is available.

KEY OBSERVATION

None of ODIHR's observations currently apply to Andorra.

Our methodology