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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  was learning to use CAD software. He was working  his  way through all of the shows on Netflix. This was a person. He had braces on  his  teeth. This was a person. He grew up on a farm.  This was a person. She was sporty. This was a person. He was a vegetarian. This was a person. She helped people. This was a person. She was a crossword whiz. This was a person. She was very good at cleaning. This was a person. He wore bow ties. This was a person. She  was a translator. She  scalped tickets This was a person. She loved fine dining. She played chess. This was a person. She could juggle. This was a person. She was a good dancer. This was a person. He prefered bread without crusts. This was a person. She ate a lot of kale. This was a person. She didn't get along with animals. This was a person. She wore a lot of hats.  This was a person. She lived on breakfast bars. This was a person. He  was a translator. This was a person. She never drank coffee. This was a person. He loved Elvis. This was a person. He made scrapbooks. This was a person. She  was training to run a marathon. She  was kind of an awesome lover. This was a person. She chewed gum constantly. This was a person. He has a suit at the cleaners. He helped people. This was a person. She  was kind of an awesome lover. She was rebuilding an engine. This was a person. He looked like a cartoon. This was a person. She  was a historian. This was a person. She had an awesome home theatre. She was a vegetarian. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She was a good dancer. She got thrown off of a golf course. This was a person. She  was kind of an awesome lover. This was a person. He always brought reusable bags into the store. This was a person. He was living with his sister. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. He was always in a hurry. He loved Elvis. This was a person. He ate the food at convenience stores. This was a person. She overtipped. This was a person. She overtipped. She was cockeyed. This was a person. She was divorced. She prefered bread without crusts. This was a person. She had bonsai trees. This was a person. He was lactose intolerant. He loved pot. This was a person. He could play banjo. This was a person. She loved chocolate. This was a person. He had a podcast. This was a person. He didn't have a family. This was a person. She never drank coffee. This was a person. He had an unfortunate nickname. This was a person. He was allergic to peanuts. This was a person. He was homophobic. He had a podcast. This was a person. He abused cars. He was diabetic. This was a person. She couldn't grow a mustache. This was a person. He overtipped. This was a person. He didn't have a family. He  always bought flowers for  his  desk. This was a person. He was homophobic. He was allergic to peanuts. This was a person. He was rebuilding an engine. This was a person. She sang. This was a person. He slept around. This was a person. She ate a lot of raisins. This was a person. She loved nachos. This was a person. She survived cancer. She got thrown off of a golf course. This was a person. He wore a lot of jewelry. This was a person. He wrote for the newspaper. This was a person. She didn't get along with animals. She played chess. This was a person. She had a baby boy. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. She  was a drunk. This was a person. She had tropical fish. This was a person. He  was awaiting judgement for a DUI last month. He  had VD. This was a person. He spends a lot of time watching tennis. This was a person. He couldn't grow a mustache. He was the richest of  his friends.

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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