New information reveals Delhi accounts for a staggering variety of theft instances in India, dwarfing different main metropolitan cities and elevating issues about crime charges.

Key Factors
- Delhi accounts for practically three-fourths of all theft instances registered in 19 main metro cities in India.
- In 2024, Delhi reported 1,80,973 theft instances, averaging roughly 497 instances per day.
- Mumbai, Bengaluru, and Jaipur observe Delhi with considerably decrease numbers of theft instances.
- Theft constitutes 87.9 per cent of all property crime instances in India, making it probably the most prevalent offence.
Delhi dominated theft statistics, with virtually 497 instances per day, and practically three-fourths of all such instances registered in 19 main metro cities, in accordance with the most recent Crime in India report launched by the Nationwide Crime Data Bureau (NCRB) on Wednesday.
Out of two,80,867 instances registered beneath ‘offences in opposition to property’ in 2024, theft was probably the most prevalent offence with 2,46,882 instances, making up 87.9 per cent of all property crime instances.
Delhi’s Alarming Theft Statistics
Delhi reported a staggering 1,80,973 theft instances in 2024, leading to virtually 3,480 instances per week, and roughly 497 instances per day, which is 73.3 per cent of the nationwide whole – a serious lead over different metropolitan centres.
Different Metropolitan Cities
Mumbai adopted with 10,854 instances (4.4 per cent), Bengaluru 9,229 instances (3.7 per cent) and Jaipur 9,051 instances (3.7 per cent), in accordance with the report.
Decline in Property Crimes
In 2024, crimes beneath the ‘offences in opposition to property’ header dipped by 14.4 per cent from 2023, when 3,28,100 instances had been recorded.
Theft as a Main Crime Class
In keeping with the information, throughout the spectrum of IPC and BNS crimes (5,93,096 instances), theft emerged as the only largest crime class, accounting for 41.6 per cent of all registered instances.
Disclaimer: Information content material is sourced from the acknowledged supply. Headlines, summaries, part headers, and pictures are routinely generated or chosen utilizing AI/algorithms and should not all the time be totally correct. Readers are suggested to confer with the total article for full context.












