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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 picked up litter.  This was a person. He had extensions. This was a person. She was polite to telemarketers. This was a person. He was very careful about conserving gasoline. He had an unfortunate nickname. This was a person. She was always in a hurry. This was a person. He had a lot of Beatles records. This was a person. She led the choir. This was a person. He always had gum. He chewed nicotine gum. This was a person. He could play harmonica. This was a person. He was a secret Buddahist. This was a person. He always wore a hat. He played a lot of social card games.  This was a person. She  was afraid of flying. She  was a plumber. This was a person. She ate a lot of raisins. This was a person. She loved James Bond movies. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. He loved oreos. He had bonsai trees. This was a person. She had braces on  her  teeth. This was a person. She was a wedding photographer. This was a person. He loved James Bond movies. This was a person. She chewed nicotine gum. This was a person. She overtipped. This was a person. He had tropical fish. This was a person. She  could always get tickets. This was a person. He could play banjo. This was a person. He had long fingernails. This was a person. She brought great food to social gatherings. This was a person. She was rebuilding an engine. This was a person. He looked like a cartoon. This was a person. He wore earphones all the time. This was a person. She had a lot of Beatles records. She was thrifty. This was a person. He  was a poet. This was a person. She was living with her sister. This was a person. She  was learning to use CAD software. She  went to church. This was a person. She  went to church. This was a person. She had a baby boy. This was a person. She had a lot of Beatles records. She did not sleep with a pillow. This was a person. She  was a poet. This was a person. He wore Spandex. He always had gum. This was a person. He helped people. This was a person. He had a lot of music on vinyl. This was a person. He was a trivia master. This was a person. He wore a lot of jewelry. He was a skilled woodcarver. This was a person. He played chess. This was a person. He had a sexy phone voice. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. She  loved to make out. This was a person. He was polite to telemarketers. This was a person. She was homophobic. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He was polite to salesmen. This was a person. She had an awesome home theatre. She was a vegetarian. This was a person. She was lactose intolerant. This was a person. She could play harmonica. This was a person. She survived cancer. This was a person. She  was sleeping with  her  ex. She  was a mason. This was a person. He knew a lot of cops. This was a person. He had braces on  his  teeth. This was a person. She was rebuilding an engine. This was a person. He was a glassblower. This was a person. She abused cars. She smoked pot at music festivals. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. He was 4 days sober. This was a person. She could play harmonica. This was a person. She knew how to get free satelittle television. This was a person. He loved nachos. This was a person. He can't watch the end of T2 without crying This was a person. She was divorced. This was a person. He wrote for the newspaper. This was a person. She has a suit at the cleaners.

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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