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 was kind of addicted to ebay.

This was a person. She smoked pot at music festivals. She rode motorcycles.

This was a person. He could play cricket.

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

This was a person. She did open mike.

This was a person. She loved oreos. She was allergic to peanuts.

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

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

This was a person. She was a mason. She can't watch the end of T2 without crying

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

This was a person. He only ever had sex with one person.

This was a person. She was a Mac evangelist.

This was a person. He could play cricket. He was polite to salesmen.

This was a person. He was a Mac evangelist.

This was a person. She could play cricket.

This was a person. She had VD.

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

This was a person. He was very careful about conserving gasoline. He had an unfortunate nickname.

This was a person. She was a scout leader.

This was a person. She once robbed a bank. She loved rollerblading.

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

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

This was a person. He was a historian. He had a bunch of tattoos.

This was a person. He survived cancer. He has four overdue books.

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

This was a person. She was a vegetarian.

This was a person. He was sporty.

This was a person. She never ate breakfast. She could play trumpet.

This was a person. He constantly wore sunglasses.

This was a person. She scalped tickets She was a crossword whiz.

This was a person. She was a virgin.

This was a person. She was divorced.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days. He was sort of selfish in bed.

This was a person. He looked like a cartoon.

This was a person. She always brought lunch.

This was a person. He was a mason.

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

This was a person. He wrote for the newspaper. He was good at job interviews.

This was a person. She helped people. She wanted to learn magic.

This was a person. She was a cheapskate.

This was a person. She was afraid of the water. She never raised hervoice.

This was a person. She had crazy hair colors. She didn't get along with animals.

This was a person. She wore Spandex. She overtipped.

This was a person. He wore Spandex.

This was a person. He had crazy hair colors.

This was a person. She loved nachos.

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

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

This was a person. He was kind of an awesome lover.

This was a person. She was a translator.

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

This was a person. He was divorced. He chewed gum constantly.

This was a person. He was 4 days sober. He was learning to use CAD software.

This was a person. He had bonsai trees.

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

This was a person. He was a historian.

This was a person. She never carried cash. She loved Elvis.

This was a person. He had tropical fish. He was a wedding photographer.

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

This was a person. He could play cricket.

This was a person. He always brought reusable bags into the store. He had crazy hair colors.

This was a person. He lived on breakfast bars.

This was a person. She could fix anything.

This was a person. He was thrifty.

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

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

This was a person. She was rough and tumble. She overtipped.

This was a person. She made scrapbooks.

This was a person. He had long fingernails. He had an unfortunate nickname.

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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