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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 sort of selfish in bed. This was a person. He excelled at woodworking. He didn't give a damn about food. This was a person. She wore a lot of hats.  This was a person. He ate a lot of chinese food. He always wore a hat. This was a person. She  had VD. She was rebuilding an engine. This was a person. She  was training to run a marathon. This was a person. He survived cancer. He sang at parties. This was a person. She  had a hangover yesterday. This was a person. He picked up litter.  This was a person. She was working  her  way through all of the shows on Netflix. She had a bunch of tattoos. This was a person. She ate a lot of hot dogs. This was a person. She  finished reading all of the works of Homer. This was a person. He could juggle. He was the unofficial relationship guru among   friends. This was a person. He loved to fish. He never ate breakfast. This was a person. He was very good at cleaning. He wore Spandex. This was a person. He  was a mason. This was a person. He loved to fish. He loved oreos. This was a person. She was the unofficial relationship guru among   friends. This was a person. She was a cat person. She took a lot of photos. This was a person. He  was learning to use CAD software. This was a person. She couldn't grow a mustache. This was a person. He could play banjo. This was a person. She overtipped. This was a person. She loved nachos. This was a person. She  was a drunk. This was a person. He didn't have a family. This was a person. She did not sleep with a pillow. She was a glassblower. This was a person. She loved nachos. This was a person. She had a lot of Beatles records. She had tropical fish. This was a person. She loved wine. This was a person. She had tropical fish. She kept to herself mostly This was a person. She snored. This was a person. He helped strangers. This was a person. She took careful notes after every meal. She did not sleep with a pillow. This was a person. He was cockeyed. This was a person. She was a cheapskate. She abused cars. This was a person. He spends a lot of time watching tennis. He wore bow ties. This was a person. He  collected figurines. This was a person. She never finished the book club book. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He abused cars. He loved rollerblading. This was a person. She  was a virgin. This was a person. He has a suit at the cleaners. This was a person. He was 4 days sober. This was a person. He  was a mason. This was a person. He was rough and tumble. This was a person. He  collected figurines. He  was sort of selfish in bed. This was a person. He had a podcast. This was a person. She could fall asleep anywhere. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He could play banjo. This was a person. She  was a teacher. She made  her  own beer and was kind of stingy with it. This was a person. He sang. This was a person. She was good at job interviews. This was a person. She wore a lot of hats.  This was a person. He was afraid of the water. He was a Mac evangelist. This was a person. He  was a drunk. He  went to church. This was a person. She  did open mike. This was a person. He constantly wore sunglasses. This was a person. He had a lot of shoes. He had lice. This was a person. He had a lot of Beatles records. He always brought lunch. This was a person. She loved fine dining. This was a person. He wrote for the newspaper. This was a person. He  was a virgin. This was a person. She smoked pot at music festivals. This was a person. She was an expert barbecuer. This was a person. He sang. This was a person. He helped people. He was a vegetarian. This was a person. She  collected figurines.

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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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