Man arrested for burgling house in Green Park

Updated: Dec 31, 2018, 16:11 IST | PTI | New Delhi

The accused was identified as Harish, a native of Amroha district in Uttar Pradesh

Representational Image
Representational Image

A 32-year-old man was arrested for allegedly burgling a house in New Delhi's Green Park area, police said Sunday. The accused was identified as Harish, a native of Amroha district in Uttar Pradesh. On December 17, police were alerted about a housebreaking incident in Green Park area.

The locks of the house's back gate and main door were broken, so was the main door's latch, police said.

"The accused had ransacked the basement and first floor of the house. The house owner had gone aboard on December 14," officials said.

When caretaker Vikram came for his house-sitting duty, he noticed the house had been completely ransacked, officials said.

During the investigation, the police went through CCTV footage and identified four persons as the accused. They were seen roaming near the house and a couple of two-wheelers were seen parked outside the house, which the police suspect was used for a quick getaway. The footage showed one of the accused shaking hands with a passerby, he was identified as Ram Naresh.

Police showed Naresh the CCTV footage and he recognised one of the accused as Hariya, an electrician and tenant in Humayunpur since 2012, officials said.

Hariya surrendered before the court and was arrested in the present case. During interrogation, Hariya said he burgled the house in Green Park along with associates Ram Bharose, Mahinder and Suresh, police added.

"The accused persons had burgled several houses in south and west Delhi. After committing the crime, they used to go back to their respective native villages to evade arrest," police said.

One of the two-wheelers used in the crime has been recovered, police said, adding that efforts are on to arrest the other accused.

Sign up for all the latest news, top galleries and trending videos from

This website uses cookie or similar technologies, to enhance your browsing experience and provide personalised recommendations. By continuing to use our website, you agree to our Privacy Policy and Cookie Policy. OK