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 bunch of cameras. He was polite to telemarketers.

This was a person. He was polite to telemarketers.

This was a person. He always had a clean car.

This was a person. He survived cancer.

This was a person. He could play cricket.

This was a person. He wore bow ties.

This was a person. She knew a lot of cops.

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

This was a person. She made scrapbooks.

This was a person. He ate a lot of chinese food. He slept around.

This was a person. She once robbed a bank.

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

This was a person. She loved James Bond movies.

This was a person. She loved chocolate.

This was a person. She made pie.

This was a person. She ate a lot of hot dogs. She was very careful about conserving gasoline.

This was a person. She was afraid of the water.

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

This was a person. He loved fine dining.

This was a person. She was a skilled woodcarver.

This was a person. She was a DJ. She took careful notes after every meal.

This was a person. He never raised hisvoice.

This was a person. She had extensions.

This was a person. He was homophobic. He was gluten intolerant.

This was a person. She was rebuilding an engine.

This was a person. She was gluten intolerant. She was polite to salesmen.

This was a person. She played chess.

This was a person. He smoked pot at music festivals.

This was a person. She was afraid of the water. She knew a lot of cops.

This was a person. He had a green thumb.

This was a person. He had a green thumb.

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

This was a person. She had a gun.

This was a person. He always wore a hat.

This was a person. She had extensions. She loved fine dining.

This was a person. He ate a lot of chinese food. He had an unfortunate nickname.

This was a person. She never finished the book club book. She plays fantasy football.

This was a person. She was allergic to peanuts.

This was a person. He never carried cash. He had a lot of Beatles records.

This was a person. He was an awful driver.

This was a person. He never finished the book club book. He had extensions.

This was a person. He had bonsai trees.

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. She slept around.

This was a person. She was a vegetarian.

This was a person. She was a dog person.

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

This was a person. She had a gun.

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

This was a person. She finished reading all of the works of Homer.

This was a person. She was rebuilding an engine.

This was a person. He was rough and tumble.

This was a person. He loved pot.

This was a person. She looked like a cartoon.

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

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

This was a person. He ate a lot of kale. He always had a clean car.

This was a person. He loved cigarettes.

This was a person. She was a DJ.

This was a person. She was good to people.

This was a person. He was kind of addicted to ebay. He was divorced.

This was a person. He sang.

This was a person. He was good at job interviews. He ate a lot of raisins.

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

This was a person. He was an expert barbecuer.

This was a person. She knew how to get free satelittle television.

This was a person. He lived on breakfast bars.

This was a person. She never raised hervoice.

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

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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