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. He ate a lot of chinese food. He sang.

This was a person. He was a historian.

This was a person. She was good at job interviews.

This was a person. He loved James Bond movies.

This was a person. She could play cricket.

This was a person. She was a teacher.

This was a person. He picked up litter. He smoked pot at music festivals.

This was a person. He constantly wore sunglasses.

This was a person. She went to the horseraces.

This was a person. She excelled at woodworking. She never tried gin.

This was a person. She took a lot of photos.

This was a person. She was divorced.

This was a person. He had a sexy phone voice.

This was a person. He always brought reusable bags into the store.

This was a person. She was the richest of her friends.

This was a person. He tutored kids.

This was a person. She spent a lot of time with old people.

This was a person. He was a street vendor.

This was a person. She spends a lot of time watching tennis.

This was a person. He was rough and tumble.

This was a person. She could fall asleep anywhere.

This was a person. He helped people.

This was a person. He played a lot of social card games. He wore bow ties.

This was a person. She loved to fish. She took a lot of photos.

This was a person. She had VD.

This was a person. He played piano.

This was a person. He played a lot of social card games.

This was a person. He loved oreos.

This was a person. She loved James Bond movies. She had a gun.

This was a person. She could play banjo.

This was a person. She was living with her sister.

This was a person. He overtipped.

This was a person. He was very good at cleaning.

This was a person. She had a lot of shoes.

This was a person. He wore Spandex.

This was a person. She was a drunk. She has a suit at the cleaners.

This was a person. She was afraid of flying.

This was a person. He lived on breakfast bars.

This was a person. She was cockeyed. She had just paid a crapload of money to get teeth fixed.

This was a person. She played soccer every weekend.

This was a person. He had a lot of music on vinyl.

This was a person. She sang at parties. She wore bow ties.

This was a person. She collected figurines.

This was a person. She collected figurines.

This was a person. He was allergic to peanuts.

This was a person. He overtipped.

This was a person. He was a teacher. He was a crossword whiz.

This was a person. He threw a lot of parties.

This was a person. She chewed nicotine gum. She loved museums.

This was a person. He kept buying vegetables, even though they always just went bad in his fridge. He was a crossword whiz.

This was a person. He was a street vendor.

This was a person. She was the richest of her friends.

This was a person. He went to church.

This was a person. She ate a lot of hot dogs. She loved chocolate.

This was a person. She had a baby boy.

This was a person. He talked during movies.

This was a person. He ate a lot of hot dogs.

This was a person. He slept around. He knew how to get free satelittle television.

This was a person. She had long fingernails.

This was a person. He kept to himself mostly

This was a person. She was left-handed. She had a green thumb.

This was a person. She always wore a hat. She was left-handed.

This was a person. She was a tailor. She was a trivia master.

This was a person. She looked like a cartoon.

This was a person. She was a pharmacist.

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 fiber.

This was a person. She played chess. She was an expert barbecuer.

This was a person. She just had her car stereo repaired.

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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