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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. She loved to fish. This was a person. She  was sleeping with  her  ex. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  had VD. This was a person. He just had the bandages removed from  plastic surgery. He was cockeyed. This was a person. She had a gun. This was a person. He excelled at woodworking. He couldn't swim. This was a person. He ate a lot of kale. He always had a clean car. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. He was homophobic. This was a person. She smoked pot at music festivals. She wore a lot of black clothing. This was a person. She kept to herself mostly This was a person. She always brought lunch. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She didn't get along with animals. She plays fantasy football. This was a person. He was kind of addicted to ebay. This was a person. He had a gun. He was thrifty. This was a person. She had an unfortunate nickname. She knew how to get free satelittle television. This was a person. He  was sleeping with  his  ex. This was a person. He loved James Bond movies. This was a person. He  scalped tickets This was a person. He was very good at cleaning. This was a person. She was a Mac evangelist. This was a person. He  was a plumber. He never carried cash. This was a person. He loved James Bond movies. This was a person. She was afraid of the water. She helped people. This was a person. She  was sleeping with  her  ex. This was a person. He chewed gum constantly. This was a person. He  was learning to use CAD software. This was a person. He always wore a hat. This was a person. She was gluten intolerant. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He grew up on a farm.  This was a person. She was a trivia master. She was a Mac evangelist. This was a person. She  scalped tickets This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She was 4 days sober. This was a person. She spent a lot of time with old people. This was a person. He wore bow ties. This was a person. He was afraid of the water. This was a person. She  was a drunk. This was a person. She  loved to make out. This was a person. She had bonsai trees. She loved cigarettes. This was a person. He loved to fish. This was a person. He never finished the book club book. This was a person. He picked up litter.  He was going blind. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He ate a lot of hot dogs. He tutored kids. This was a person. He was lactose intolerant. This was a person. She was a Mac evangelist. This was a person. He had extensions. He picked up litter.  This was a person. She picked up litter.  This was a person. She  was a mason. This was a person. He survived cancer. This was a person. She was polite to salesmen. She had an unfortunate nickname. This was a person. She loved chocolate. She was very good at cleaning. This was a person. She has four overdue books.  This was a person. She  was sleeping with  her  ex. This was a person. She wore bow ties. She has a music afficianado. This was a person. She was a skilled woodcarver. She ate a lot of fish. This was a person. He  was a pharmacist. He had a bunch of tattoos. This was a person. He ate a lot of kale. This was a person. He played piano. This was a person. He was left-handed. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He  was a mason. This was a person. He was divorced. This was a person. He was a hoarder. This was a person. He had a lot of Beatles records. He was a secret Buddahist. This was a person. He  was a pharmacist. He can't watch the end of T2 without crying

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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