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Disaster Casualties Visualization Tool: The Banana massacre: 1928

100 Dead Men and Women

The Banana massacre was a massacre of striking workers for the United Fruit Company on December 6, 1928 in the town of Ciénaga, Colombia. The number of dead has not been accurately noted.

This was a person. He abused cars. This was a person. She took careful notes after every meal. This was a person. He spent a lot of time with old people. This was a person. He loved nachos. This was a person. He was polite to telemarketers. This was a person. He ate a lot of fiber. He was sporty. This was a person. She taught guitar. She was a glassblower. This was a person. He led the choir. This was a person. He was lactose intolerant. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. He loved pot. This was a person. She made scrapbooks. 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  had VD. This was a person. She  was a historian. She  played soccer every weekend. This was a person. She never raised  hervoice. This was a person. She could play cricket. This was a person. He was the richest of  his friends. This was a person. She  scalped tickets She wore earphones all the time. This was a person. He ate a lot of fiber. This was a person. He was a Mac evangelist. He took a lot of photos. This was a person. He grew up on a farm.  This was a person. He  had a hangover yesterday. This was a person. She always made the mashed potatoes at family get-togethers. She  was awaiting judgement for a DUI last month. This was a person. He was a skilled woodcarver. He wrote for the newspaper. This was a person. She always had gum. She was cockeyed. This was a person. He had a bunch of cameras. He could play harmonica. This was a person. She was a cat person. This was a person. He taught guitar. This was a person. He was kind of addicted to ebay. This was a person. She chewed gum constantly. This was a person. He picked up litter.  This was a person. She was very good at cleaning. This was a person. She  collected figurines. This was a person. He occasionally shop lifted. This was a person. She did not sleep with a pillow. She had bonsai trees. This was a person. He always brought lunch. This was a person. She had a bunch of cameras. This was a person. He chewed nicotine gum. This was a person. He  was a pharmacist. This was a person. He  finished reading all of the works of Homer. This was a person. He was the richest of  his friends. He loved oreos. This was a person. She chewed gum constantly. She had long fingernails. This was a person. He  had VD. This was a person. He led the choir. He had just paid a crapload of money to get    teeth fixed. This was a person. She had a lot of Beatles records. This was a person. He loved to fish. This was a person. He was always in a hurry. This was a person. He was a trivia master. He took careful notes after every meal. This was a person. She tutored kids. This was a person. She  loved to make out. This was a person. He was polite to salesmen. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. She  collected figurines. This was a person. He was a skilled woodcarver. He was a glassblower. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. She led the choir. This was a person. He was polite to telemarketers. This was a person. She had a green thumb. She played World of Warcraft This was a person. She ate a lot of chinese food. This was a person. He had an unfortunate nickname. He was a cheapskate. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She had a lot of Beatles records. She had tropical fish. This was a person. He  collected figurines. This was a person. She ate a lot of fiber. This was a person. He excelled at woodworking. He liked to argue. This was a person. He occasionally shop lifted. This was a person. She  was sleeping with  her  ex. This was a person. She  did open mike. This was a person. He loved to fish. He ate a lot of fish. This was a person. She was a hoarder. This was a person. She was the unofficial relationship guru among   friends. This was a person. She ate a lot of fish. This was a person. She has four overdue books.  She loved MASH. This was a person. He always wore a hat. This was a person. She  was a drunk. This was a person. She  was a tailor. This was a person. She was allergic to peanuts. She always brought reusable bags into the store. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. This was a person. She took a lot of photos. This was a person. She ate a lot of hot dogs. She was very good at cleaning. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. She always brought lunch. This was a person. She could fix anything. This was a person. He  was a plumber. This was a person. She always had gum. This was a person. She  was a poet. This was a person. He had a lot of music on vinyl. This was a person. She  was a pharmacist. She  scalped tickets This was a person. She was a glassblower. This was a person. He  was a DJ. This was a person. He loved cigarettes. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He chewed nicotine gum. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. She had a bunch of cameras. This was a person. She was polite to salesmen. She wore Spandex. This was a person. She never finished the book club book. This was a person. He always wore a hat. This was a person. She was a skilled woodcarver. She kept to herself mostly

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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