Organised crime: Gang of four women targeting metro passengers booked | Delhi News


Organised crime: Gang of four women targeting metro passengers booked

New Delhi: Delhi Police has booked a female gang under organised crime provision for their involvement in a series of thefts across Delhi’s Metro network. This is the second female gang to be booked under this BNS section.Police sources said the gang of four included Komal (22), Neha (22), Yogita (22) and Geeta (45), all residents of Faridpuri Transit Camp in Anand Parbat. The group was arrested in Dec following a theft on a metro train.

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The complainant reported that his wallet was stolen near RK Ashram metro station, and police tracked and apprehend the gang, initially booking them under Section 303 (theft) of BNS, with Section 112 (petty organised crime) added later.Earlier, another gang of four—Laxmi (40), Sanjana (22), Sandhya (20) and Jahnvi (22), residents of Kathputli Colony in Shadipur—was booked in Aug last year. The gang was allegedly led by Laxmi, a habitual offender involved in at least 13 criminal cases. The commuters caught her red-handed at Nizamuddin–Sarai Kale Khan metro station last year and handed her over to police. Based on her statements, the other gang members were subsequently arrested.Each gang, consisting of four to five women, travelled together on metro. While three to four members distracted or blocked the victim and shielded their belongings from public view, one member used this opportunity to steal valuables. Delhi Police data showed that till Dec 11 last year, 40 FIRs were registered for thefts committed by women in the metro, leading to the arrest of 51 and the identification of six active gangs. By comparison, in 2024, 48 cases were reported, resulting in 67 female offenders being apprehended.To prevent such thefts, deputy commissioner of police (Metro) Kushal Pal Singh said female staff were deployed to patrol ladies’ coaches, and foot patrols were conducted at crowded and high-traffic stations. A Facial Recognition System was also implemented to identify alleged offenders.



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