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 watched a lot of sports on TV, but never played them himself.

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

This was a person. She was a Mac evangelist.

This was a person. She collected figurines.

This was a person. He played soccer every weekend.

This was a person. She had a lot of Beatles records. She never raised hervoice.

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

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

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

This was a person. She has two living parents. She got a terrible haircut a few days ago and shaved her head to escape from it.

This was a person. He could juggle.

This was a person. He was a translator.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge. She played soccer every weekend.

This was a person. She was cockeyed.

This was a person. She was sporty.

This was a person. She was sleeping with her ex.

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

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

This was a person. He was a crossword whiz. He was a Mac evangelist.

This was a person. She loved fine dining.

This was a person. She had a hangover yesterday.

This was a person. She has four overdue books.

This was a person. She collected figurines.

This was a person. He had tropical fish.

This was a person. He was an awful driver.

This was a person. He loved Elvis.

This was a person. He did open mike.

This was a person. She had a green thumb.

This was a person. She played chess.

This was a person. He chewed nicotine gum.

This was a person. She had a podcast.

This was a person. She brought great food to social gatherings.

This was a person. He was playing nine games of Words with Friends on his phone.

This was a person. She constantly wore sunglasses.

This was a person. She had VD. She was a poet.

This was a person. He snored. He loved nachos.

This was a person. He once robbed a bank.

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

This was a person. She had braces on her teeth.

This was a person. She taught guitar.

This was a person. She played piano.

This was a person. She was training to run a marathon. She loved to make out.

This was a person. She ate a lot of fish. She could play harmonica.

This was a person. He never carried cash.

This was a person. She was a crossword whiz.

This was a person. He tutored kids.

This was a person. He was a cat person.

This was a person. She was a street vendor.

This was a person. She had a green thumb.

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

This was a person. She has two living parents.

This was a person. She only ever had sex with one person. She was learning to use CAD software.

This was a person. He taught guitar.

This was a person. She wore earphones all the time.

This was a person. He was a glassblower.

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

This was a person. He picked up litter.

This was a person. He had a gun.

This was a person. She loved nachos.

This was a person. She wore Spandex.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He had a personal injury lawsuit working its way through the courts.

This was a person. She helped people.

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

This was a person. He had VD.

This was a person. He had a green thumb.

This was a person. She played World of Warcraft

This was a person. He was training to run a marathon.

This was a person. She was a glassblower. She loved pot.

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

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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