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 ate the food at convenience stores. She played chess.

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

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

This was a person. She helped strangers.

This was a person. She wore earphones all the time. She had a lot of Beatles records.

This was a person. She could play banjo. She always had a clean car.

This was a person. He was cockeyed.

This was a person. She was a tailor.

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

This was a person. She loved oreos.

This was a person. He ate a lot of raisins. He was very good at cleaning.

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

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

This was a person. He loved to make out.

This was a person. She could play harmonica. She did not own a fridge.

This was a person. He loved pot.

This was a person. She was kind of addicted to ebay.

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

This was a person. She loved fine dining.

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

This was a person. He was a Mac evangelist.

This was a person. She had a podcast. She ate a lot of hot dogs.

This was a person. She prefered bread without crusts.

This was a person. She was always in a hurry. She did not sleep with a pillow.

This was a person. He was rough and tumble.

This was a person. She sang.

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

This was a person. She was divorced.

This was a person. He made pie.

This was a person. She had a bunch of cameras.

This was a person. She made her own beer and was kind of stingy with it. She could fall asleep anywhere.

This was a person. He took careful notes after every meal.

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

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

This was a person. She played chess.

This was a person. She overtipped.

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

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

This was a person. She had a lot of music on vinyl. She brought great food to social gatherings.

This was a person. He was divorced.

This was a person. She was polite to telemarketers.

This was a person. He was rough and tumble. He wore a lot of hats.

This was a person. She never carried cash.

This was a person. She played soccer every weekend.

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

This was a person. He plays fantasy football.

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

This was a person. He played World of Warcraft

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

This was a person. He was divorced.

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

This was a person. He talked during movies. He was a secret Buddahist.

This was a person. She loved cigarettes.

This was a person. She was sporty.

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

This was a person. She had crazy hair colors. She picked up litter.

This was a person. He was a dog person. He had bonsai trees.

This was a person. He wore bow ties. He was a loner.

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

This was a person. He wrote for the newspaper.

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

This was a person. He scalped tickets

This was a person. He was a cat person.

This was a person. He was divorced.

This was a person. She could play trumpet.

This was a person. She wore Spandex.

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

This was a person. He was a street vendor.

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

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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