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 didn't get along with animals.

This was a person. She was a cat person.

This was a person. She could play banjo.

This was a person. She was a street vendor.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it.

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

This was a person. She had a green thumb. She wore bow ties.

This was a person. He got thrown off of a golf course. He helped strangers.

This was a person. She helped people.

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 just had the bandages removed from plastic surgery.

This was a person. She was a translator. She was a crossword whiz.

This was a person. She was a crossword whiz.

This was a person. He was a hoarder.

This was a person. She was a street vendor.

This was a person. She wore a lot of hats.

This was a person. She was a drunk.

This was a person. He did not sleep with a pillow.

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

This was a person. He was a translator. He could always get tickets.

This was a person. He had crazy hair colors.

This was a person. She helped people.

This was a person. She was playing nine games of Words with Friends on her phone.

This was a person. He ate the food at convenience stores.

This was a person. She was a secret Buddahist.

This was a person. He was a scout leader.

This was a person. He was a scout leader.

This was a person. She grew up on a farm.

This was a person. He always bought flowers for his desk. He can't watch the end of T2 without crying

This was a person. He was a Mac evangelist. He loved Elvis.

This was a person. She got thrown off of a golf course. She had a lot of shoes.

This was a person. She went to the horseraces. She was an expert barbecuer.

This was a person. He did not sleep with a pillow. He brought great food to social gatherings.

This was a person. He could play trumpet. He was polite to telemarketers.

This was a person. He overtipped.

This was a person. She had extensions.

This was a person. She had extensions.

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

This was a person. She had tropical fish.

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

This was a person. She never drank coffee. She ate a lot of raisins.

This was a person. She could play trumpet.

This was a person. He was a scout leader.

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

This was a person. She could always get tickets. She had a gun.

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

This was a person. She plays fantasy football.

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

This was a person. He took a lot of photos. He was lactose intolerant.

This was a person. She always brought lunch.

This was a person. He survived cancer. He just had the bandages removed from plastic surgery.

This was a person. He loved chocolate.

This was a person. He was polite to telemarketers.

This was a person. She was a poet. She was a DJ.

This was a person. She excelled at woodworking.

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

This was a person. She was a skilled woodcarver.

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

This was a person. He loved cigarettes.

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

This was a person. He loved James Bond movies. He taught guitar.

This was a person. She made scrapbooks.

This was a person. She was a poet. She was an awful driver.

This was a person. She loved James Bond movies.

This was a person. He was sporty.

This was a person. He sang.

This was a person. She was a translator. She was working her way through all of the shows on Netflix.

This was a person. She was thrifty.

This was a person. She was very careful about conserving gasoline. She wore Spandex.

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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