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Disaster Casualties Visualization Tool: Sharpeville Massacre: 1960

69 Dead Men and Women

The Sharpeville massacre at the police station in the South African township of Sharpeville. After a day of demonstrations the South African police opened fire on the crowd of black protesters killing 69 people.

This was a person. He was cockeyed. He had a sexy phone voice. This was a person. He  was a virgin. He  was a pharmacist. This was a person. She was an awful driver. This was a person. He kept to himself mostly This was a person. She was rebuilding an engine. She couldn't grow a mustache. This was a person. She  was sleeping with  her  ex. She was always in a hurry. This was a person. He once robbed a bank. He loved museums. This was a person. She  was training to run a marathon. This was a person. He played a lot of social card games.  He played chess. This was a person. He loved wine. This was a person. She overtipped. She occasionally shop lifted. This was a person. She was the unofficial relationship guru among   friends. She had a green thumb. This was a person. She lived on breakfast bars. This was a person. She taught guitar. This was a person. He loved fine dining. He abused cars. This was a person. She never carried cash. This was a person. She took careful notes after every meal. This was a person. He talked during movies. This was a person. She slept around. She always had gum. This was a person. He  only ever had sex with one person. He  played soccer every weekend. This was a person. She overtipped. This was a person. She was a cat person. This was a person. He was very good at cleaning. This was a person. She wore bow ties. This was a person. She ate the food at convenience stores. This was a person. She was cockeyed. This was a person. She could play trumpet. This was a person. She loved nachos. This was a person. She wore bow ties. She had a sexy phone voice. This was a person. He had a bunch of tattoos. He was a skilled woodcarver. This was a person. She  was playing nine games of Words with Friends on  her  phone. She  was a plumber. This was a person. He  was a mason. This was a person. He survived cancer. This was a person. He always brought lunch. This was a person. She  was a pharmacist. This was a person. She led the choir. She helped strangers. This was a person. She was gluten intolerant. This was a person. She didn't get along with animals. This was a person. He played piano. This was a person. He excelled at woodworking. This was a person. He slept around. This was a person. He  loved to make out. This was a person. She plays fantasy football. This was a person. She had bonsai trees. She sang. This was a person. He did not own a fridge. This was a person. He  was learning to use CAD software. This was a person. He taught guitar. This was a person. He sang. This was a person. He  played soccer every weekend. This was a person. He loved James Bond movies. This was a person. She loved to fish. This was a person. She was very good at cleaning. This was a person. She  went to church. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. He loved pot. This was a person. She took careful notes after every meal. She knew a lot of cops. This was a person. She was very good at cleaning. This was a person. He wanted to learn magic. This was a person. She played World of Warcraft This was a person. She was a trivia master. She loved Elvis. This was a person. He never finished the book club book. This was a person. He  could always get tickets. This was a person. He was a wedding photographer. He was gluten intolerant. This was a person. She knew a lot of cops. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. This was a person. He was the unofficial relationship guru among   friends. This was a person. He was an awful driver. He did not sleep with a pillow. This was a person. She had a sexy phone voice. This was a person. She was rough and tumble. She loved fine dining.

View a different tragedy with the Disaster Visualization Tool

Jonestown | The Titanic | Kent State Shootings | My Lai | Lockerbie bombing | Kent State Shootings | Tiananmen Square Massacre | The Banana massacre | The Boyd Massacre | Mountain Meadows massacre | Kfar Etzion Massacre | Sharpeville Massacre | The Miami Showband Massacre | The Novocherkassk massacre | Tokyo Subway Sarin attack | Sinking of the Titanic | The Happy Land Fire | Brooklyn Bridge stampede | 1990 Pilgrim Stampede | Luxor hot air balloon crash |

Mouse-over body descriptions are randomly generated, intended to inject humanity into the raw number of dead. It cannot accurately represent the actual people who died in the tragedy.

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