Sharpeville Massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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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

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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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