Basel drug offenses in 2025 hit a 15-year low, dominated by personal use cases.

April 19, 2026

In 2025, Basel-Stadt recorded 1,198 drug offenses, with 77.5% categorized as personal consumption infractions. The overall number of offenses has declined nearly 70% since a 2017 peak, with enforcement heavily focused on personal-use charges that have a high clearance rate.

Photo: Jonathan Gonzalez, Drugs, bottles on soil, on Unsplash.com, licensed under Unsplash License.

In 2025, authorities in the Canton of Basel-Stadt recorded 1,198 reported offenses under the Narcotics Act (BetmG). The vast majority, 77.5 percent or 928 cases, were categorized as personal consumption (Eigenkonsum), which are infractions (Übertretungen). Offenses related to illegal trade, cultivation, or manufacture not for personal use—classified as misdemeanors (Vergehen) and felonies (Verbrechen)—accounted for 22.1 percent, or 265 cases. This data reflects the ongoing dynamics of the city's drug scene, which has a complex die Drogengeschichte der Stadt Basel.

Suspects in these cases were predominantly male, comprising 88.8 percent of the total, while women accounted for 10.9 percent. In terms of nationality, 56.5 percent of suspects were Swiss citizens and 43.5 percent were foreign nationals. The age distribution shows a strong concentration among younger adults, with the 18–29 age group representing 44.6 percent of all suspects, followed by the 30–39 group at 28.5 percent. Suspects aged 50 and above were minimally represented, together accounting for less than 10 percent of the total.

The trend in reported drug offenses over the past decade and a half shows a significant and consistent decline from a peak (Figure 1). The highest number of offenses was recorded in 2017 with 3,968 cases, while the 2025 figure of 1,198 is the lowest in the available time series, representing a drop of nearly 70 percent from that peak. This long-term downward trend, particularly pronounced since 2020, coincides with ongoing discussions about policing and public drug use in areas like a recent report by Bajour. The composition of offenses has also shifted, with the share of personal consumption infractions increasing as the overall number of more serious trade-related offenses has fallen.

Two notable observations emerge from the data. First, the enforcement focus remains overwhelmingly on personal consumption, with the single most common charge being "possession or acquisition for personal use," which alone accounted for 664 cases, or over 55 percent of all BetmG offenses in 2025. Second, the clearance rate for these personal-use infractions is notably high at 94.9 percent, suggesting these are typically offenses detected directly by police intervention rather than through complex investigation.


Table 1: Reported Offenses in 2025
Severity Offense Number
Infraction besitzen, aufbewahren, erwerben oder anders erlangen, zum Eigenkonsum (Übertretung) 664
Infraction Konsum von Betäubungsmitteln (Übertretung) 214
Infraction lagern, befördern, einführen, ausführen oder durchführen, zum Eigenkonsum (Übertretung) 49
Infraction übrige Übertretungen BetmG 1
Infraction anbauen, herstellen oder anders erzeugen, zum Eigenkonsum (Übertretung) 1
Misdemeanour besitzen, aufbewahren, erwerben, anders erlangen (Vergehen) 102
Misdemeanour Ehemalige Kategorie Handel (Vergehen) 50
Misdemeanour lagern, befördern, einführen, ausführen oder durchführen (Vergehen) 12
Misdemeanour übrige Vergehen BetmG 4
Misdemeanour anbauen, herstellen oder anders erzeugen (Vergehen) 2
Felony Ehemalige Kategorie Handel BetmG (Verbrechen) 51
Felony besitzen, aufbewahren, erwerben, anders erlangen (Verbrechen) 34
Felony lagern, befördern, einführen, ausführen oder durchführen (Verbrechen) 12
Felony anbauen, herstellen oder anders erzeugen (Verbrechen) 2

Figure 1: Drug Offenses in Basel-Stadt, 2009 - 2025

Figure 2: Suspects by Sex

Figure 3: Suspects by Nationality

Figure 4: Heatmap of Suspects by Age

Data source: Angezeigte Straftaten nach Strafgesetzbuch (StGB)

🤖 This text was generated with the assistance of AI. All quantitative statements are derived directly from the dataset listed under Data Source.