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 had a hangover yesterday.

This was a person. He wore earphones all the time. He had a lot of music on vinyl.

This was a person. She led the choir. She loved rollerblading.

This was a person. He ate a lot of raisins.

This was a person. He was a Mac evangelist.

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

This was a person. He ate a lot of kale.

This was a person. She was polite to telemarketers. She was very careful about conserving gasoline.

This was a person. She had extensions. She abused cars.

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

This was a person. She loved Elvis.

This was a person. She was a secret Buddahist.

This was a person. She did not own a fridge.

This was a person. He didn't have a family.

This was a person. She was a DJ.

This was a person. She didn't get along with animals.

This was a person. He was a hoarder. He tutored kids.

This was a person. She plays fantasy football. She had a lot of shoes.

This was a person. She survived cancer.

This was a person. She ate a lot of fish. She was allergic to peanuts.

This was a person. He couldn't grow a mustache.

This was a person. She was a drunk. She went to church.

This was a person. He was polite to salesmen.

This was a person. He had braces on his teeth.

This was a person. He abused cars. He was obsessed with sitcoms.

This was a person. She was a drunk.

This was a person. She made scrapbooks.

This was a person. She was awaiting judgement for a DUI last month.

This was a person. He played chess.

This was a person. He loved nachos.

This was a person. She could play trumpet.

This was a person. He was always in a hurry.

This was a person. He was sporty. He has four overdue books.

This was a person. He had VD.

This was a person. She loved nachos. She sang.

This was a person. She taught guitar.

This was a person. She chewed nicotine gum. She had a sailboat as a teen.

This was a person. He watched a lot of sports on TV, but never played them himself.

This was a person. She chewed nicotine gum. She couldn't swim.

This was a person. She had a baby boy. She was learning to speak French.

This was a person. He was working his way through all of the shows on Netflix.

This was a person. She played chess. She was balding.

This was a person. She loved cigarettes.

This was a person. She loved to fish. She was a secret Buddahist.

This was a person. She could play cricket. She was very careful about conserving gasoline.

This was a person. He never raised hisvoice.

This was a person. He had a hangover yesterday.

This was a person. She was divorced. She was a wedding photographer.

This was a person. She ate a lot of chinese food.

This was a person. She couldn't grow a mustache.

This was a person. She prefered bread without crusts.

This was a person. She sang at parties.

This was a person. She snored. She loved wine.

This was a person. She ate a lot of fish.

This was a person. He loved to fish.

This was a person. He couldn't grow a mustache.

This was a person. He was learning to use CAD software. He just had his car stereo repaired.

This was a person. She had a personal injury lawsuit working its way through the courts.

This was a person. He picked up litter.

This was a person. She always had gum.

This was a person. He was learning to use CAD software.

This was a person. She was a secret Buddahist.

This was a person. She had an awesome home theatre.

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

This was a person. She called in sick to work 9 times last month and was written up at work.

This was a person. He never carried cash.

This was a person. He kept to himself mostly

This was a person. She played World of Warcraft

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

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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