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 finished reading all of the works of Homer. She was afraid of flying.

This was a person. She had a sexy phone voice. She had a sailboat as a teen.

This was a person. She went to the horseraces.

This was a person. She prefered bread without crusts.

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

This was a person. She was thrifty. She ate a lot of kale.

This was a person. He picked up litter.

This was a person. She constantly wore sunglasses.

This was a person. He was sporty.

This was a person. He loved to make out.

This was a person. He had a hangover yesterday.

This was a person. She made pie.

This was a person. He was a pharmacist.

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

This was a person. He abused cars.

This was a person. She did open mike.

This was a person. He had a baby boy.

This was a person. She didn't have a family.

This was a person. He kept to himself mostly

This was a person. She just had the bandages removed from plastic surgery. She ate the food at convenience stores.

This was a person. He had braces on his teeth. He had an awesome home theatre.

This was a person. He brought great food to social gatherings. He chewed gum constantly.

This was a person. He never raised hisvoice.

This was a person. She couldn't grow a mustache.

This was a person. She loved pot.

This was a person. She was an awful driver. She talked during movies.

This was a person. He had extensions. He went to the horseraces.

This was a person. He was rebuilding an engine.

This was a person. He was a DJ.

This was a person. He was a skilled woodcarver.

This was a person. He was living with his sister.

This was a person. She was very good at cleaning.

This was a person. He got out of jail two years ago and never reunited with his family. He was playing nine games of Words with Friends on his phone.

This was a person. She scalped tickets She has a suit at the cleaners.

This was a person. She played World of Warcraft

This was a person. She chewed nicotine gum. She had a sailboat as a teen.

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

This was a person. He was a crossword whiz.

This was a person. She had a baby boy.

This was a person. He loved wine. He was rough and tumble.

This was a person. She sang at parties.

This was a person. He was gluten intolerant. He was polite to telemarketers.

This was a person. She has a suit at the cleaners.

This was a person. He was a translator. He loved James Bond movies.

This was a person. She played piano. She never ate breakfast.

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

This was a person. He led the choir.

This was a person. She wrote for the newspaper.

This was a person. She had a baby boy.

This was a person. He was a good dancer.

This was a person. She loved to make out.

This was a person. He had VD. He was a crossword whiz.

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

This was a person. She had long fingernails.

This was a person. He was a drunk. He was afraid of the water.

This was a person. He just had his car stereo repaired.

This was a person. She was good to people. She was a loner.

This was a person. He had a gun.

This was a person. She loved wine.

This was a person. He loved cigarettes.

This was a person. She wore bow ties.

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

This was a person. She smoked pot at music festivals. She loved MASH.

This was a person. She could fix anything.

This was a person. He played chess.

This was a person. He loved to fish. He was a vegetarian.

This was a person. He loved to fish.

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

This was a person. She was left-handed. She ate the food at convenience stores.

View a different tragedy with the Disaster Visualization Tool

Jonestown | The Titanic | Kent State Shootings | My Lai | Lockerbie bombing | Kent State Shootings | Tiananmen Square Massacre | The Banana massacre | The Boyd Massacre | Mountain Meadows massacre | Kfar Etzion Massacre | Sharpeville Massacre | The Miami Showband Massacre | The Novocherkassk massacre | Tokyo Subway Sarin attack | Sinking of the Titanic | The Happy Land Fire | Brooklyn Bridge stampede | 1990 Pilgrim Stampede | Luxor hot air balloon crash |

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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