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 brought great food to social gatherings.

This was a person. He could always get tickets. He had a gun.

This was a person. He never carried cash.

This was a person. She was an expert barbecuer.

This was a person. He was a plumber.

This was a person. He was a glassblower. He was polite to telemarketers.

This was a person. He played World of Warcraft He loved MASH.

This was a person. She always had gum. She wore bow ties.

This was a person. She ate a lot of hot dogs. She looked like a cartoon.

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

This was a person. She never drank coffee.

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 sang.

This was a person. He plays fantasy football.

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

This was a person. She was a wedding photographer.

This was a person. She played soccer every weekend.

This was a person. He chewed gum constantly.

This was a person. He taught guitar.

This was a person. She played piano. She ate a lot of fish.

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

This was a person. He had a podcast. He could play trumpet.

This was a person. She looked like a cartoon.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. She was thrifty.

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

This was a person. He once robbed a bank.

This was a person. He always bought flowers for his desk. He was a translator.

This was a person. She was a tailor.

This was a person. She snored. She loved wine.

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

This was a person. He loved wine.

This was a person. She was cockeyed.

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

This was a person. He had a lot of Beatles records.

This was a person. He was a poet.

This was a person. He kept to himself mostly

This was a person. She chewed gum constantly.

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

This was a person. She had an unfortunate nickname.

This was a person. He played soccer every weekend.

This was a person. He chewed gum constantly.

This was a person. She was a cat person.

This was a person. She looked like a cartoon.

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

This was a person. He was gluten intolerant.

This was a person. He kept to himself mostly

This was a person. She was a dog person. She ate a lot of fish.

This was a person. She made pie. She always brought lunch.

This was a person. She knew how to get free satelittle television. She spent a lot of time with old people.

This was a person. She was afraid of heights.

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

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

This was a person. He was cockeyed.

This was a person. She loved fine dining. She once robbed a bank.

This was a person. He was allergic to peanuts. He loved nachos.

This was a person. He loved James Bond movies.

This was a person. He had a sexy phone voice.

This was a person. She was a DJ.

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

This was a person. She excelled at woodworking.

This was a person. She was sporty.

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

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

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

This was a person. She never drank coffee.

This was a person. He loved James Bond movies.

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

This was a person. She played World of Warcraft

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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