This is a list of states (and some territories) by the annual prevalence of cocaine use as percentage of the population aged 15–64 (unless otherwise indicated).[1] published by the United Nations Office on Drugs and Crime (UNODC). The indicator is the "annual prevalence" rate which is the percentage of the youth and adult population who have consumed the drug at least once in the past year.
According to a 2019 study, 5 Swiss cities (St Gallen, Bern, Zurich, Basel and Geneva) were listed among top 10 European cities for cocaine use.[2] [3]
Country or entity | % usage | Year | Note | |
---|---|---|---|---|
2.7 | 2017 | (Age 15-64) | ||
2.67 | 2017 | (Age 16–59)[4] | ||
2.5 | 2014 | (Age 15-64) | ||
2.5 | 2016 | (Age 14+) | ||
2.34 | 2014 | (Age 16–64) | ||
2.4 | 2022 | (Age 15–64)[5] | ||
2.5 | 2021 | (Age 15–64) | ||
1.8 | 2014 | (Age 15–64) | ||
1.8 | 2017 | (Age 16+) | ||
1.8 | 2014 | (Age 15–65) | ||
1.67 | 2017 | (Age 15–64) | ||
1.5 | 2021 | (Age 15–64) | ||
1.6 | 2017 | (Age 18–64) | ||
2.3 | 2019 | (Age 15–64) | ||
1.47 | 2015 | (Age 15–64) | ||
0.3 | 2019 | (Age 15–64) | ||
1.38 | 2016 | (Age 15–64) | ||
1.33 | 2015 | (Age 15–64) | ||
1.3 | 2009 | (Age 16–65) | ||
1.21 | 2017 | (Age 15–64) | ||
1.5 | 2021 | (Age 16–64) | ||
1.06 | 2015 | (Age 15–64) | ||
1.02 | 2011 | (Age 15–64) | ||
1 | 2016 | (Age 15–64) | ||
0.98 | 2010 | (Age 15–64) | ||
0.9 | 2003 | [6] (UNODC estimates) | ||
0.88 | 2010 | (Age 15–64) | ||
0.87 | 2005 | (Age 12–35) | ||
0.85 | 2005 | (Age 12–65) BBC | ||
0.81 | 2016 | (Age 15–64) | ||
1.8 | 2019 | (Age 15–64) | ||
0.8 | 2016 | (Age 12–65) | ||
0.7 | 2013 | (Age 12–65) | ||
0.7 | 2002 | (UNODC estimates) | ||
0.7 | 2002 | (UNODC estimates) | ||
0.696 | 2010 | (Age 12–65) | ||
0.69 | 2006 | (Age 12–65) | ||
0.64 | 2011 | (Age 12–65) | ||
0.63 | 2008 | (Age 15–64) | ||
0.6 | 2000 | (UNODC estimates) | ||
0.6 | 2016 | (Age 18–65) | ||
0.6 | 2008 | (Age 15–64) | ||
1.6 | 2021 | (Age 18–64) | ||
0.6 | 2008 | (Age 16–64; cocaine/crack) | ||
0.6 | 2010 | (Age 15–64) | ||
1.3 | 2021 | (Age 15–64) | ||
1.4 | 2018 | (Age 15–64) | ||
0.9 | 2018 | (Age 15–64) | ||
0.5 | 2015 | (Age 15–64) | ||
0.5 | 2013 | (Age 15–64) | ||
0.8 | 2018 | (Age 15–64) | ||
0.48 | 2010 | (Age 15–64) | ||
1.6 | 2022 | (Age 15–64) | ||
0.4 | 2006 | (Age 15–64) | ||
0.4 | 2015 | (Age 15–64) | ||
0.4 | 2003 | (UNODC estimates) | ||
0.4 | 1998 | |||
0.4 | 2014 | (Age 15–64) | ||
0.37 | 2014 | (Age 12–65) | ||
0.36 | 2014 | (Age 12–65) | ||
0.34 | 2015 | (Age 15–64) | ||
0.32 | 2010 | (Age 15–64) | ||
0.32 | 2015 | (Age 15–64) | ||
0.3 | 2019 | (Age 15–64) | ||
0.6 | 2020 | (Age 15–64) | ||
0.9 | 2020 | (Age 15–64) | ||
0.25 | 2008 | (Age 15–64) | ||
0.25 | 2003 | (Age 12–64) | ||
0.25 | 2013 | (Age 12–65) | ||
0.23 | 2007 | (Age 15–64) | ||
0.21 | 2005 | (Age 15–64) | ||
0.2 | 2012 | (Age 15–64) | ||
0.2 | 2017 | (Age 15–64) | ||
0.2 | 2013 | (Age 15–64) | ||
0.2 | 2010 | (Age 15–64) | ||
0.2 | 2000 | (Tentative estimates) | ||
0.2 | 1998 | |||
0.2 | 2016 | (Age 15–64) | ||
0.1 | 2005 | (Age 15–64) | ||
0.1 | 2018 | (Age 10–75) | ||
0.1 | 2001 | (UNODC estimates) | ||
0.6 | 2021 | (Age 15–64) | ||
0.1 | 2000 | |||
0.1 | 2014 | (Age 18–64) | ||
0.1 | 2005 | (Age 15–64) | ||
0.1 | 2016 | (Age 15–65) | ||
0.1 | 2015 | (Age 12–65) | ||
0.08 | 2013 | (Age 12–64) | ||
0.07 | 2016 | (Age 10–69) | ||
0.06 | 2007 | (Age 15–64) | ||
0.05 | 2004 | (Age 15–64) | ||
0.05 | 2007 | (Age 15–64) | ||
0.05 | 2017 | (Age 15–64) | ||
0.042 | 2012 | (Age 15–64) | ||
0.04 | 2005 | (Age 15–64) | ||
0.04 | 2008 | (Age 15–64) | ||
0.03 | 2004 | (Age 15–64) | ||
0.03 | 2017 | (Age 15–64) | ||
0.02 | 2006 | (Age 15–64) | ||
0.02 | 1997 | |||
0.02 | 1996 | |||
0.01 | 2010 | (Age 12+) | ||
0.01 | 1999 | |||
0.01 | 2010 | (Age 10–60) | ||
0.01 | 1995 | |||
0.01 | 2017 | (Age 15–64) | ||
0.008 | 2008 | (Age 15–64) | ||
0.001 | 2009 | (Age 15–64) | ||
0.001 | 2005 | (Age 15–64) | ||
0.0002 | 2004 |