Nairobi on Edge as Gangs Unleash New Mugging Tactics in CBD

Nairobi residents are on high alert following a surge of mob-style attacks in the Central Business District (CBD), where organised gangs are using increasingly brazen methods to rob pedestrians and motorists in broad daylight.

Disturbing New Tactics

According to Nairobi County Environment CEC Geoffrey Mosiria, the gangs — often groups of 20 to 30 youths — have introduced a shocking new ploy.

“They now carry human waste and threaten to pour it on victims unless they surrender their belongings,” he revealed.

The gangs also disguise themselves as content creators filming for social media to disarm unsuspecting targets.

Mosiria further cautioned against giving money to street families, warning that some use the funds to buy drugs that fuel crime.

“If you want to help, support them to go back home, find work, or return to school — not by giving handouts,” he said.

Crackdown Underway

Mosiria assured residents that the county is working with law enforcement to curb the menace.

“We engaged the Nairobi Regional Commander, and officers have already been deployed on the ground,” he confirmed.

Residents Share Harrowing Accounts

Terrified Nairobians have taken to social media to describe the ordeal. Some victims were attacked near police stations, while commuters report being cornered at bus stops. Motorists say phones, handbags, and side mirrors are snatched in traffic.

One X user lamented: “It’s shocking how they move in groups and no one dares to intervene.”

Calls for Urgent Action

The wave of attacks has sparked public outcry, with residents demanding more patrols and a stronger police presence to restore order.

As fears grow that the situation could spiral further, many Nairobians are urging swift and decisive intervention to reclaim the CBD from lawlessness.

About this writer:


Ghafla!
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.