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 never ate breakfast.

This was a person. She played piano. She was a skilled woodcarver.

This was a person. He was allergic to peanuts.

This was a person. She had bonsai trees. She was lactose intolerant.

This was a person. He was a drunk.

This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors.

This was a person. He made his own beer and was kind of stingy with it.

This was a person. He was a teacher.

This was a person. He loved wine.

This was a person. She wore bow ties.

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

This was a person. She had an unfortunate nickname. She plays fantasy football.

This was a person. He wanted to learn magic. He ate a lot of hot dogs.

This was a person. She loved James Bond movies.

This was a person. She excelled at woodworking.

This was a person. He called in sick to work 9 times last month and was written up at work. He was afraid of flying.

This was a person. She excelled at woodworking.

This was a person. She did open mike. She was afraid of the water.

This was a person. She was good at job interviews.

This was a person. He was good to people.

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

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

This was a person. He wore a lot of hats. He picked up litter.

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

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 made pie.

This was a person. He was a pharmacist.

This was a person. He was polite to salesmen.

This was a person. He was a DJ.

This was a person. He wanted to learn magic. He was very careful about conserving gasoline.

This was a person. She overtipped.

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

This was a person. She excelled at woodworking.

This was a person. He was a cheapskate.

This was a person. She was a Mac evangelist.

This was a person. He ate a lot of hot dogs. He was very careful about conserving gasoline.

This was a person. She played piano.

This was a person. She was a translator.

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

This was a person. She had braces on her teeth. She took a lot of photos.

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

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

This was a person. She excelled at woodworking.

This was a person. She was sort of selfish in bed.

This was a person. She played World of Warcraft

This was a person. She was a cheapskate.

This was a person. She had a green thumb.

This was a person. She was a virgin. She was a mason.

This was a person. She was a good dancer.

This was a person. He picked up litter. He played guitar on the streets for money.

This was a person. He was an expert barbecuer.

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

This was a person. He played World of Warcraft

This was a person. She tutored kids.

This was a person. She was a good dancer. She wore Spandex.

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

This was a person. She tutored kids.

This was a person. He loved fine dining.

This was a person. She spent a lot of time with old people.

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

This was a person. She had a lot of shoes. She played guitar on the streets for money.

This was a person. She was a cheapskate.

This was a person. She snored.

This was a person. She got out of jail two years ago and never reunited with her family. She was a poet.

This was a person. She made pie. She was a wedding photographer.

This was a person. He did open mike.

This was a person. He was cockeyed.

This was a person. She was a trivia master.

This was a person. He was rebuilding an engine.

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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