Estimated prevalence of people who inject drugs in the last 12 months (per 1000 population), 2024 or latest data
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Description
This data visualisation was originally produced for the European Drug Report 2026: Trends and Developments.
Note: Based on the latest data available from each country.
Originally published in
Injecting drug use in Europe – the current situation (European Drug Report 2026)
Main subject
Keywords
Target audience
Type
Copyright status
- Creative Commons Attribution 4.0 International (CC BY 4.0)
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| Term | Colour |
|---|---|
| increase | #ff7f00 |
| stable | #fec357 |
| decrease | #4b78bb |
| Term | Filter sort |
|---|---|
| Resin | 1 |
| Herbal | -1 |
| Term | Filter sort |
|---|---|
| Resin | -1 |
| Herbal | 1 |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Substance |
| 2 | Recall period |
| 3 | Age |
| 4 | Gender |
| 5 | Prevalence of drug use |
| 6 | Percent |
| 7 | Breakdown by substance |
| 8 | Prevalence all available countries |
| 9 | Trends |
| 11 | Males and females |
| 14 | Country |
| 15 |
Note: For methodological information and details on the data presented, please refer to the notes beneath the main map. |
| 16 | About the data |
| 17 | Currently not available for individual countries |
| 50 | Cannabis |
| 101 | prevalence of cannabis use |
| 102 | prevalence of cocaine use |
| 103 | prevalence of MDMA use |
| 104 | prevalence of amphetamine use |
| 105 | prevalence of methamphetamine use |
| 231 | Gender breakdown: all treatment entrants |
| 232 | Mean age: all treatment entrants |
| 233 | Client status – number of clients |
| 234 | First-time entrants |
| 235 | Previously treated entrants |
| 236 | Unknown status |
| 237 | Route of administration (%) |
| 238 | Injecting |
| 239 | Smoking/inhaling |
| 240 | Eating/drinking |
| 241 | Sniffing |
| 242 | Other |
| 243 | Frequency of use in the last month (%): all treatment entrants |
| 244 | 4 to 6 days per week |
| 245 | 2 to 3 days per week |
| 246 | Once a week or less |
| 247 | Not used in the last 30 days |
| 248 | Trends in first-time entrants |
| 250 | Cannabis market: data and trends |
| 252 | Years |
| 260 | Cannabis type |
| 261 | Daily |
| 265 | COVID-19 pandemic |
| 312 | Geographical coverage (selected graphs) |
| 315 | Number of seizures |
| 324 | Price retail (EUR/g) (EU) |
| 325 | Price wholesale (EUR/kg) (EU) |
| 330 | Quantity seized (tonnes) |
| 360 | Cannabis type |
| 370 | Potency retail (% THC) (EU) |
| 375 | Indexed trends, retail (2014=100) (EU) |
| 385 | Trends in number of seizures |
| 386 | Trends in quantity seized (tonnes) |
| 400 | mg/1000 population/day |
| 450 | Kilograms |
| 500 | Retail |
| 510 | Wholesale |
| 520 | Potency |
| 600 | cannabis |
| 610 | cocaine |
| 620 | amphetamine |
| 630 | methamphetamine |
| 640 | MDMA |
| 650 | ketamine |
| 100200 | Mean use: 4.2 days per week |
| 100201 | Mean use 3.3 days per week |
| Term | Filter sort |
|---|---|
| Lifetime | 100 |
| Last month | 1 |
| Last year | 20 |
| All adults (15-64) | 200 |
| Young adults (15-34) | 10 |
| Term | Filter sort |
|---|---|
| Cannabis | 1 |
| Cocaine | -1 |
| LSD | -1 |
| Ecstasy | -1 |
| Amphetamines | -1 |
| Tobacco | -1 |
| Alcohol | -1 |
| Category | Filter sort |
|---|---|
| EU | 1 |
| EU+2 | -1 |
| Austria | 101 |
| Belgium | 102 |
| Bulgaria | 103 |
| Croatia | 104 |
| Cyprus | 105 |
| Czechia | 106 |
| Denmark | 107 |
| Estonia | 108 |
| Finland | 109 |
| France | 110 |
| Germany | 111 |
| Greece | 112 |
| ID | Term |
|---|---|
| 10 | Tonnes |
| 50 | Amphetamine and methamphetamine |
| 55 | Heroin |
| 60 | Cathinones |
| 65 | Cocaine |
| 70 | MDMA |
| 80 | Kilograms |
| 90 | Litres |
| Substance | Color |
|---|---|
| Amphetamine | #FBAA19 |
| Cannabis | #B3D455 |
| Cannabis plants | #A6D6AA |
| Cannabis resin | #3d7000 |
| Cocaine and crack | #87D3E1 |
| Cocaine | #87D3E1 |
| Herbal cannabis | #B3D455 |
| Heroin | #7DA7D8 |
| MDMA | #F58465 |
| Methamphetamine | #D17219 |
| Amphetamines | #FEC357 |
| Other substances | #ABADB0 |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Substance |
| 2 | Recall period |
| 3 | Age |
| 4 | Gender |
| 5 | Prevalence of drug use |
| 6 | Percent |
| 7 | Breakdown by substance |
| 8 | Prevalence all available countries |
| 9 | Trends |
| 11 | Males and females |
| 14 | Country |
| 15 | Years |
| 16 | About the data |
| 17 | Currently not available for individual countries |
| 20 |
Note: For methodological information and details on the data presented, please refer to the notes beneath the main map. |
| 101 | prevalence of cannabis use |
| 102 | prevalence of cocaine use |
| 103 | prevalence of MDMA use |
| 104 | prevalence of amphetamine use |
| 105 | prevalence of methamphetamine use |
| 231 | Gender breakdown: all treatment entrants |
| 232 | Mean age: all treatment entrants |
| 233 | Client status — number of clients |
| 234 | First-time entrants |
| 235 | Previously treated entrants |
| 236 | Unknown status |
| 237 | Route of administration (%): all treatment entrants |
| 238 | Injecting |
| 239 | Smoking/inhaling |
| 240 | Eating/drinking |
| 241 | Sniffing |
| 242 | Other |
| 243 | Frequency of use in the last month (%): all treatment entrants |
| 244 | 4 to 6 days per week |
| 245 | 2 to 3 days per week |
| 246 | Once a week or less |
| 247 | Not used in the last 30 days |
| 248 | Trends in first-time treatment entrants |
| 250 | Cannabis market: data and trends |
| 260 | Cannabis type |
| 261 | Daily |
| 265 | COVID-19 pandemic |
| 312 | Geographical coverage (selected graphs) |
| 315 | Number of seizures |
| 324 | Price retail (EUR/g) (EU) |
| 325 | Price wholesale (EUR/kg) (EU) |
| 330 | Quantity seized (tonnes) |
| 360 | Cannabis type |
| 370 | Potency (%) |
| 372 | Purity (%) (EU) |
| 375 | Indexed trends: retail (2014 = 100) (EU) |
| 385 | Trends in number of seizures |
| 386 | Trends in quantity seized (tonnes) |
| 390 | Retail |
| 391 | Wholesale |
| 395 | Purity |
| 396 | Potency |
| 400 | mg/1000 population/day |
| 500 | cannabis |
| 510 | cocaine |
| 520 | amphetamine |
| 530 | methamphetamine |
| 540 | MDMA |
| 550 | ketamine |
| 600 | Cocaine |
| 605 | Crack cocaine |
| 610 | Powder cocaine |
| 700 | Year |
| 100200 | Mean use: 4.3 days per week |
| 100201 | Mean use 4.3 days per week |
| 100210 | Mean use 4.3 days per week |
| 100220 | Mean use 3.2 days per week |
| Term | Filter sort |
|---|---|
| Lifetime | 100 |
| Last month | 1 |
| Last year | 20 |
| All adults (15-64) | 200 |
| Young adults (15-34) | 10 |
| Term | Filter sort |
|---|---|
| Cannabis | -1 |
| Cocaine | 1 |
| LSD | -1 |
| Ecstasy | -1 |
| Amphetamines | -1 |
| Tobacco | -1 |
| Alcohol | -1 |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Substance |
| 2 | Recall period |
| 3 | Age |
| 4 | Gender |
| 5 | Prevalence of drug use |
| 6 | Percent |
| 7 | Breakdown by substance |
| 8 | Prevalence all available countries |
| 9 | Trends |
| 11 | Males and females |
| 14 | Country |
| 15 |
Note: For methodological information and details on the data presented, please refer to the notes beneath the main map. |
| 16 | About the data |
| 17 | Currently not available for individual countries |
| 101 | prevalence of cannabis use |
| 102 | prevalence of cocaine use |
| 103 | prevalence of MDMA use |
| 104 | prevalence of amphetamine use |
| 105 | prevalence of methamphetamine use |
| 231 | Gender breakdown |
| 232 | Age profile |
| 233 | Client status |
| 234 | First-time entrants |
| 235 | Previously treated entrants |
| 236 | Unknown status |
| 237 | Route of administration (%) |
| 238 | Injecting |
| 239 | Smoking/inhaling |
| 240 | Eating/drinking |
| 241 | Sniffing |
| 242 | Other |
| 243 | Frequency of use in the last month (%) |
| 244 | 4 to 6 days per week |
| 245 | 2 to 3 days per week |
| 246 | Once a week or less |
| 247 | Not used in the last 30 days |
| 248 | Trends in new treatment entrants |
| 250 | Cannabis market: data and trends |
| 260 | Cannabis type |
| 261 | Daily |
| 265 | COVID-19 pandemic |
| 312 | Geographical coverage (selected graphs) |
| 315 | Number of seizures |
| 324 | Price retail (EUR/g) (EU) |
| 325 | Price wholesale (EUR/kg) (EU) |
| 330 | Quantity seized (tonnes) |
| 332 | Quantity seized |
| 335 | Quantity seized (tablets) |
| 337 | Quantity seized (million tablets) |
| 360 | Cannabis type |
| 365 | Form |
| 370 | Potency (%) |
| 375 | Indexed trends: retail (2014=100) (EU) |
| 377 | Indexed trends: price and MDMA content, retail (2014=100) |
| 385 | Trends in number of seizures |
| 386 | Trends in quantity seized (kg) |
| 387 | Trends in the number of MDMA seizures (all forms) |
| 388 | Trends in the quantity of MDMA seized Tablets |
| 390 | Trends in the quantity of MDMA seized Powder/crystal (tonnes) |
| 400 | mg/1000 population/day |
| 450 | Price retail (EUR/tablet) (EU) |
| 453 | Price retail (EUR/g powder) (EU) |
| 455 | Price wholesale (EUR/1000 tablets) (EU) |
| 460 | MDMA content retail (mg/tablet) (EU) |
| 465 | Purity powder retail (% MDMA) (EU) |
| 600 | cannabis |
| 610 | cocaine |
| 620 | amphetamine |
| 630 | methamphetamine |
| 640 | MDMA |
| 650 | ketamine |
| 660 | Percent of samples |
| 665 | Purity |
| 670 | MDMA per tablet |
| 100200 | Mean use: 4.3 days per week |
| 100201 | Mean use 3.3 days per week |
| Term | Filter sort |
|---|---|
| Lifetime | 100 |
| Last month | 1 |
| Last year | 20 |
| All adults (15-64) | 200 |
| Young adults (15-34) | 10 |
| MDMA powder | 1 |
| MDMA tablets | -1 |
| Term | Filter sort |
|---|---|
| MDMA Powder | -1 |
| MDMA Tablets | 1 |
| Term | Filter sort |
|---|---|
| Cannabis | -1 |
| Cocaine | -1 |
| LSD | -1 |
| Ecstasy | 1 |
| MDMA | 1 |
| Amphetamines | -1 |
| Tobacco | -1 |
| Alcohol | -1 |
| Tablet | 1 |
| Powder | 2 |
| Term | Filter sort |
|---|---|
| Tablet | 1 |
| Powder | 10 |
| Any | -1 |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Substance |
| 2 | Recall period |
| 3 | Age |
| 4 | Gender |
| 5 | prevalence of drug use |
| 6 | Percent |
| 7 | Breakdown by substance |
| 8 | prevalence all available countries |
| 9 | Trends |
| 11 | Males and females |
| 14 | Country |
| 15 |
Note: For methodological information and details on the data presented, please refer to the notes beneath the main map. |
| 16 | About the data |
| 50 | Years |
| 17 | Currently not available for individual countries |
| 101 | prevalence of cannabis use |
| 102 | prevalence of cocaine use |
| 103 | prevalence of MDMA use |
| 104 | prevalence of amphetamines use |
| 105 | prevalence of methamphetamine use |
| 231 | Gender breakdown: all treatment entrants |
| 232 | Mean age: all treatment entrants |
| 233 | Client status – number of clients |
| 234 | First-time entrants |
| 235 | Previously treated entrants |
| 236 | Unknown status |
| 237 | Route of administration: all treatment entrants (%) |
| 238 | Injecting |
| 239 | Smoking/inhaling |
| 240 | Eating/drinking |
| 241 | Sniffing |
| 242 | Other |
| 243 | Frequency of use in the last month (%): all treatment entrants |
| 244 | 4 to 6 days per week |
| 245 | 2 to 3 days per week |
| 246 | Once a week or less |
| 247 | Not used in the last 30 days |
| 248 | Trends in new treatment entrants |
| 249 | Trends in all treatment entrants |
| 250 | Cannabis market: data and trends |
| 260 | Cannabis type |
| 261 | Daily |
| 265 | COVID-19 pandemic |
| 312 | Geographical coverage (selected graphs) |
| 315 | Number of seizures |
| 324 | Price retail (EUR/g) (EU) |
| 325 | Price wholesale (EUR/kg) (EU) |
| 330 | Quantity seized (tonnes) |
| 332 | Quantity seized |
| 335 | Quantity seized (tablets) |
| 337 | Quantity seized (million tablets) |
| 360 | Cannabis type |
| 365 | Substance |
| 370 | Potency (%) |
| 372 | Purity (%) |
| 374 | Purity retail (%) (EU) |
| 375 | Indexed trends, retail (2014=100) (EU) |
| 377 | Indexed trends: price and purity, retail (2014=100) (EU) |
| 380 | Indexed trends: purity, retail (2014=100) (EU) |
| 385 | Trends in number of seizures |
| 386 | Trends in quantity seized (kg) |
| 387 | Trends in the number of MDMA seizures (all forms) |
| 388 | Trends in the quantity of MDMA seized Tablets (millions) |
| 390 | Trends in the quantity of MDMA seized Kilograms (powder/crystal) |
| 395 | Trends in quantity seized (tonnes) |
| 397 | Tonnes |
| 400 | mg/1000 population/day |
| 450 | Price retail (EUR/tablet) |
| 453 | Price retail (EUR/g powder) |
| 455 | Price wholesale (EUR/1000 tablets) |
| 460 | Content retail (mg/tablet) |
| 465 | Purity powder retail (%) |
| 470 | Entrants for this substance as a share of all first-time treatment entrants |
| 490 | Retail |
| 491 | Wholesale |
| 495 | Purity |
| 496 | Potency |
| 500 | cannabis |
| 510 | cocaine |
| 520 | amphetamine |
| 530 | methamphetamine |
| 540 | MDMA |
| 550 | ketamine |
| 100200 | Mean use: 3.1 days per week |
| 100201 | Mean use 3.8 days per week |
| 100210 | Mean use 3.2 days per week |
| Term | Filter sort |
|---|---|
| Lifetime | 100 |
| Last month | 1 |
| Last year | 20 |
| All adults (15-64) | 200 |
| Young adults (15-34) | 10 |
| Term | Filter sort |
|---|---|
| Cannabis | -1 |
| Cocaine | -1 |
| LSD | -1 |
| Ecstasy | -1 |
| MDMA | -1 |
| Amphetamines | 1 |
| Tobacco | -1 |
| Alcohol | -1 |
| Tablet | 1 |
| Powder | 2 |
| Term | Filter sort |
|---|---|
| methamphetamine | 1 |
| amphetamine | -1 |
| Term | Filter sort |
|---|---|
| Methamphetamine | 1 |
| Amphetamine | -1 |
| Term | Filter sort |
|---|---|
| Cannabis | -1 |
| Cocaine | -1 |
| Amphetamine | 1 |
| Methamphetamine | 10 |
| Cathinones | -1 |
| Term | Filter sort |
|---|---|
| Cannabis | -1 |
| Cocaine | -1 |
| Amphetamine | -1 |
| Methamphetamine | -1 |
| Cathinones | 1 |
| Term | Filter sort |
|---|---|
| EU | 1 |
| EU+2 | 2 |
| Amphetamine | 1 |
| Methamphetamine | -1 |
| Term | Filter sort |
|---|---|
| EU | 1 |
| EU+2 | 2 |
| Amphetamine | -1 |
| Methamphetamine | 1 |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Substance |
| 2 | Prevalence type |
| 3 | Age |
| 4 | Gender |
| 5 | prevalence of drug use |
| 6 | percentage (%) |
| 7 | Breakdown by substance |
| 8 | prevalance all available countries |
| 9 | Trends |
| 11 | Males and females |
| 14 | Country |
| 16 | About these data |
| 17 | Currently not available for individual countries |
| 20 | Years |
| 101 | prevalence of cannabis use |
| 102 | prevalence of cocaine use |
| 103 | prevalence of MDMA use |
| 104 | prevalence of amphetamine use |
| 105 | prevalence of methamphetamine use |
| 110 | Percent |
| 231 | Gender breakdown: all treatment entrants |
| 232 | Mean age: all treatment entrants |
| 233 | Client status – number of clients |
| 234 | First-time entrants |
| 235 | Previously treated entrants |
| 236 | Unknown status |
| 237 | Route of administration (%): all treatment entrants |
| 238 | Injecting |
| 239 | Smoking/inhaling |
| 240 | Eating/drinking |
| 241 | Sniffing |
| 242 | Other |
| 243 | Frequency of use in the last month (%): all treatment entrants |
| 244 | 4 to 6 days per week |
| 245 | 2 to 3 days per week |
| 246 | Once a week or less |
| 247 | Not used in the last 30 days |
| 248 | Trends in first-time treatment entrants |
| 250 | Cannabis market: data and trends |
| 260 | Cannabis type |
| 261 | Daily |
| 265 | COVID-19 pandemic |
| 312 | Geographical coverage (selected graphs) |
| 315 | Number of seizures |
| 324 | Heroin base, retail price (EUR/g) (EU) |
| 325 | Price wholesale (EUR/kg) (EU) |
| 326 | Heroin hydrochloride, retail price (EUR/g) (EU) |
| 328 | Heroin base, wholesale price (EUR/g) (EU) |
| 329 | Heroin hydrochloride, wholesale price (EUR/g) (EU) |
| 330 | Quantity seized (tonnes) |
| 340 | Heroin base, purity (%) (EU) |
| 345 | Heroin hydrochloride, purity (%) (EU) |
| 350 | Retail |
| 353 | Wholesale |
| 355 | Purity |
| 360 | base |
| 365 | hydrochloride |
| 370 | Potency (%) |
| 372 | Purity (%) (EU) |
| 375 | Indexed trends: retail (2014=100) (EU) |
| 385 | Trends in number of seizures |
| 386 | Trends in quantity seized (tonnes) |
| 400 | mg/1000 population/day |
| 500 | Treatment status |
| 550 | Share of presentations with heroin involved (%) |
| 100200 | Mean use: 4.7 days per week |
| Term | Filter sort |
|---|---|
| First-time | -1 |
| Previously treated | 1 |
| Term | Filter sort |
|---|---|
| First-time | 1 |
| Previously treated | -1 |
| Term | Filter sort |
|---|---|
| Cannabis | -1 |
| Cocaine | -1 |
| Heroin | 1 |
| Amphetamine | -1 |
| Methamphetamine | -1 |
| Cathinones | -1 |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Number of people who inject drugs |
| 2 | Prevalence of people who inject drugs (per 1 000 population) |
| 3 | Percent |
| 5 | Number of people |
| 8 | Per 1000 population |
| 50 | Percentage positive (%) |
| 100 | Location of cities participating in ESCAPE syringe analysis project |
| 200 | Amsterdam |
| 210 | Barcelona |
| 220 | Athens |
| 230 | Budapest |
| 240 | Cologne |
| 250 | Dublin |
| 260 | Helsinki |
| 270 | Heraklion |
| 275 | Brno |
| 280 | Klaipeda |
| 290 | Madrid |
| 300 | Oslo |
| 310 | Paris |
| 320 | Patras |
| 330 | Prague |
| 340 | Riga |
| 350 | Split |
| 360 | Tallinn |
| 370 | Thessaloniki |
| 380 | Vilnius |
| 390 | Cologne |
| 400 | Volos |
| 410 | Cork |
| 420 | Limerick |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Number |
| 2 | Kilograms |
| 3 | Age |
| Substance | Color |
|---|---|
| Amphetamine | #FBAA19 |
| Cannabis | #B3D455 |
| Cannabis plants | #A6D6AA |
| Cannabis resin | #3d7000 |
| Cocaine and crack | #87D3E1 |
| Cocaine | #87D3E1 |
| Herbal cannabis | #B3D455 |
| Heroin | #7DA7D8 |
| MDMA | #F58465 |
| Methamphetamine | #D17219 |
| Amphetamines | #FEC357 |
| Other substances | #ABADB0 |
| Aminoindanes | #83358C |
| Arylalkylamines | #D7CCE1 |
| Arylcyclohexylamines | #FBD1C2 |
| Benzodiazepines | #9687AB |
| Cannabinoids | #BED242 |
| Cathinones | #F08262 |
| Opioids | #EC5A7A |
| Others | #B2B2B2 |
| Unspecified NPS | #B2B2B2 |
| Phenethylamines | #8CADDC |
| Piperazines | #9F761C |
| Piperidines and pyrrolidines | #A8D4AF |
| Indolalkylamines (tryptamines) | #EC97AD |
| Plants and extracts | #486929 |
| Ketamine | #f4b5a6 |
| GHB/GBL | #73BCC7 |
| ID | Term |
|---|---|
| 0 | Close |
| 1 | Number of seizures |
| 2 | Quantity seized (kg) |
| 3 | Age |
| 5 | Number of notifications |
| 10 | mg/1000 population/day |
| 100 | ketamine |
| 200 | Percentage of presentations |
| ID | Term |
|---|---|
| 5 | Prevalence (percent) |
| 10 | Notifications per million population |
| 20 | COVID-19 pandemic |
| 30 | UNAIDS target (a 75 % reduction compared with 2010) |
| 40 | Year (only applicable while viewing map) |
| 50 | Associated drug |
| 55 | Cases |
| 60 | Location |
| 70 | Most recent HIV outbreaks (all available years) |
| 80 | WHO 2025 target |
| 90 | WHO target |
| 100 | Number of syringes per person who injects drugs per year |
| 110 | Cologne |
| 111 | Dublin |
| 112 | Helsinki |
| 113 | Lithuania (prison) |
| 114 | Luxembourg |
| 115 | Bavaria |
| 120 | Monza |
| 125 | Thessaloniki |
| 200 | Location of most-recent HIV outbreaks and associated substance |
| 500 | Number of syringes per person who injects drugs per year |
| 1000 | New HIV cases attributable to injecting drug use: 980 |
| 1005 | As a share of all new HIV cases (percent) |
| 1010 | New AIDS cases attributable to injecting drug use: 186 |
| 1015 | As a share of all new AIDS cases (percent) |
| 1020 | Trends in drug-related HIV: EU and selected countries Cases per million population |
| 1050 | Countries with national data |
| 2000 | HCV antibody prevalence among people who inject drugs 2023/2024 |
| 2005 | 19 % to 72 % |
| 2010 | in 9 countries |
| 2020 | Countries with national data |
| 2025 | HCV active infections among people who inject drugs 2023/2024 |
| 2030 | 7 % to 56 % |
| 2035 | in subnational samples in 6 countries |
| 2040 | HBV active infections, national data for 2023/2024 |
| 2045 | an average of 3.1 % (0.0-5.8 %) |
| 2050 | among people who inject drugs |
| 2100 | HIV and AIDS |
| 2200 | HCV and HBV |
| 2300 | Average of available studies |
| 2500 | ECDC (data) | HighCharts (Chart tool) |
| ID | Term |
|---|---|
| 10 | Breakdown by sex (percent) |
| 20 | Mean age at death (years) |
| 30 | Males |
| 40 | Females |
| 50 | Deaths with opioids present (percent) |
| 60 | Number of deaths |
| 70 | Males |
| 80 | Share with opioids (percent) |
| 90 | Share with opioids (percent) |
| 100 | Percentage with opioids (percent) |
| 110 | or most recent year |
| 120 | Percent |
| 130 | Rate per million population |
| 150 | Total number of drug-induced deaths with available toxicology, by country |
| 160 | Proportion (percent) of drug-induced deaths cases with at least one opioid mentioned (top) and proportion of specific opioids reported by country (bottom) |
| 165 | Proportion (%) of cases with specific opioids |
| 180 | Age at death |
| 1000 | Austria |
| 1100 | Slovenia |
| 1200 | Norway |
| ID | Term |
|---|---|
| 10 | WHO target |
| 20 | Recent/penultimate |
| 30 | Number in treatment |
| 40 | Gender breakdown (percent) |
| 50 | Trends in the number in opioid agonist treatment |
| 60 | Age distribution |
| 70 | Type of medication |
| 80 | Treatment duration (months) |
| 90 | Number of countries |
| 100 | 2024 or most recent |
| 110 | Previous estimate |
| 120 | Percent |
| ID | Term |
|---|---|
| 10 | WHO 2025 target |
| 20 | Proportion of people who use opioids receiving opioid agonist treatment |
| 30 | WHO 2025 target |
| 40 | Number of sterile syringes per person who injects drugs per year |
| 45 | Number people who inject drugs |
| 50 | Click to zoom in. Number of sites: |
| 55 | Number of countries |
| 60 | sites |
| 70 | Availability of interventions in prison settings |
| 80 | Select an intervention from the dropdown list below |
| 90 | Number of facilities at location |
| Term | Colour |
|---|---|
| Available | #92c020 |
| Not available | #d9562a |
| Unavailable | #d9562a |
| Unknown | #a3a3a3 |
| Status unknown | #a3a3a3 |
| Reference | Term |
|---|---|
| 10 | At |
| 20 | Not used in the last year (%) |
| 25 | Never used (%) |
| 30 | Other |
| 50 | Last year use |
| 55 | Lifetime use |
| 57 | National estimates of use in last year (%) |
| 60 | Cannabis |
| 61 | Cocaine |
| 62 | MDMA |
| 63 | Amphetamines |
| 64 | Heroin and other opioids |
| 65 | Adults (15-64) |
| 67 | Young adults (15-34) |
| 70 | million |
| 80 | Lowest |
| 90 | Highest |
| 200 | High-risk opioid users |
| 210 | Drug treatment requests |
| 220 | Fatal overdoses |
| c15-64-lyu | 24.9 |
| c15-64-lyu% | 8.7 |
| c15-64-ltu | 89.5 |
| c15-64-ltu% | 31.3 |
| c15-34-lyu | 15.4 |
| c15-34-lyu% | 15.3 |
| co15-64-lyu | 4.3 |
| co15-64-lyu% | 1.5 |
| co15-64-ltu | 18 |
| co15-64-ltu% | 6.3 |
| co15-34-lyu | 2.5 |
| co15-34-lyu% | 2.5 |
| m15-64-lyu | 3.1 |
| m15-64-lyu% | 1.1 |
| m15-64-ltu | 14.3 |
| m15-64-ltu% | 5 |
| m15-34-lyu | 2.4 |
| m15-34-lyu% | 2.4 |
| a15-64-lyu | 2 |
| a15-64-lyu% | 0.7 |
| a15-64-ltu | 11.7 |
| a15-64-ltu% | 4.1 |
| a15-34-lyu | 1.4 |
| a15-34-lyu% | 1.4 |
| a15-34-lyu% | 1.4 |
| 300 | 855 000 |
| 310 | 505 000 |
| 350 | opioid users received agonist treatment in 2024 |
| 360 | Principal drug in about 21 % of all drug treatment requests in the European Union |
| 361 | 21 % |
| 370 | Opioids were found in 66 % of fatal overdoses |
| 371 | 66 % |