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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 had just paid a crapload of money to get    teeth fixed. 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. She was thrifty. This was a person. He was a skilled woodcarver. This was a person. She wrote for the newspaper. This was a person. She was a hoarder. This was a person. He excelled at woodworking. This was a person. He was divorced. This was a person. She had bonsai trees. This was a person. She never finished the book club book. This was a person. She always brought reusable bags into the store. This was a person. She brought great food to social gatherings. This was a person. He slept around. This was a person. He wore a lot of hats.  This was a person. She was an awful driver. This was a person. She was a wedding photographer. This was a person. She was homophobic. This was a person. She had a podcast. This was a person. She could play cricket. She had crazy hair colors. This was a person. He had a sexy phone voice. This was a person. She could play banjo. This was a person. She helped people. This was a person. He loved Elvis. This was a person. He overtipped. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She was divorced. This was a person. She did not sleep with a pillow. This was a person. She wore earphones all the time. This was a person. She constantly wore sunglasses. This was a person. She slept around. She went to the horseraces. This was a person. She  finished reading all of the works of Homer. This was a person. He was lactose intolerant. He always had a clean car. This was a person. He  could always get tickets. He wore a lot of jewelry. This was a person. She  was learning to use CAD software. This was a person. He was thrifty. This was a person. She had an unfortunate nickname. This was a person. He has four overdue books.  This was a person. She had a lot of shoes. This was a person. She never ate breakfast. This was a person. He didn't have a family. This was a person. She was a cat person. This was a person. He wore Spandex. This was a person. He  collected figurines. He  was a pharmacist. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He was rebuilding an engine. This was a person. She wore bow ties. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He was the unofficial relationship guru among   friends. This was a person. She wore a lot of hats.  She had just paid a crapload of money to get    teeth fixed. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. She knew how to get free satelittle television. This was a person. He was cockeyed. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She occasionally shop lifted. This was a person. She had tropical fish. This was a person. He has a suit at the cleaners. This was a person. He has two living parents. He  was a virgin. This was a person. She  went to church. She was an awful driver. This was a person. He loved Elvis. This was a person. She  collected figurines. This was a person. She  was a historian. This was a person. She was a glassblower. She loved wine. This was a person. He was cockeyed. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She could juggle. This was a person. He chewed nicotine gum. He occasionally shop lifted. This was a person. He was left-handed. This was a person. He just had  his car stereo repaired. He helped people.

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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