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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. She  was awaiting judgement for a DUI last month. She  was kind of an awesome lover. This was a person. She  was afraid of flying. This was a person. He was living with his sister. This was a person. He just had  his car stereo repaired. This was a person. She abused cars. This was a person. She had an unfortunate nickname. This was a person. She  was a street vendor. This was a person. She was thrifty. This was a person. She got thrown off of a golf course. She knew how to get free satelittle television. This was a person. She played a lot of social card games.  She played chess. This was a person. He was cockeyed. This was a person. He loved to fish. This was a person. She was divorced. This was a person. He could play banjo. He was a hoarder. This was a person. She talked during movies. This was a person. He was rough and tumble. This was a person. He looked like a cartoon. He sang at parties. This was a person. He loved wine. This was a person. She never finished the book club book. This was a person. She  was afraid of flying. This was a person. She played piano. This was a person. He taught guitar. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. He loved to fish. This was a person. She never carried cash. This was a person. She was a trivia master. This was a person. He loved Elvis. He was divorced. This was a person. He was polite to telemarketers. 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. He wrote for the newspaper. This was a person. She was an expert barbecuer. She had a sailboat as a teen. This was a person. He looked like a cartoon. He has four overdue books.  This was a person. He loved James Bond movies. He had an awesome home theatre. This was a person. She made  her  own beer and was kind of stingy with it. She could fall asleep anywhere. This was a person. She sang at parties. This was a person. She  was training to run a marathon. She  was a mason. This was a person. He never drank coffee. This was a person. He talked during movies. He never raised  hisvoice. This was a person. She snored. This was a person. He never raised  hisvoice. He had bonsai trees. This was a person. He always had gum. This was a person. He was very good at cleaning. This was a person. She could fix anything. This was a person. She always brought reusable bags into the store. This was a person. She  was a DJ. This was a person. He could fix anything. This was a person. He ate a lot of hot dogs. This was a person. He watched a lot of sports on TV, but never played them  himself. He was a cat person. This was a person. She looked like a cartoon. She was left-handed. This was a person. She went to the horseraces. She chewed nicotine gum. This was a person. She couldn't grow a mustache. This was a person. She had a twin. She  was learning to speak French. This was a person. He  was a translator. He was an awful driver. This was a person. She always had a clean car. She looked like a cartoon. This was a person. She wore a lot of jewelry. She was a cat person. This was a person. She sang at parties. This was a person. He had a lot of shoes. This was a person. He constantly wore sunglasses. This was a person. He was very careful about conserving gasoline. This was a person. He loved pot. He just had the bandages removed from  plastic surgery. This was a person. She knew a lot of cops. This was a person. He loved wine. This was a person. He had a lot of Beatles records. He helped people. This was a person. He had a gun. He always brought lunch. This was a person. She  was a tailor. This was a person. She  was a translator. This was a person. He had an unfortunate nickname. This was a person. He was allergic to peanuts. He could play cricket. This was a person. He lived on breakfast bars. This was a person. She had a twin. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She  called in sick to work 9 times last month and was written up at work. She  was a pharmacist. This was a person. She played World of Warcraft This was a person. He ate a lot of hot dogs. This was a person. He  was a plumber. He had a bunch of tattoos. This was a person. He made pie. He was a glassblower. This was a person. She was afraid of the water. This was a person. He was afraid of the water. This was a person. He was an awful driver. This was a person. She took careful notes after every meal. She had a gun. This was a person. She loved pot. This was a person. She sang at parties. This was a person. She took careful notes after every meal. This was a person. She ate a lot of fish. This was a person. He occasionally shop lifted. This was a person. She didn't have a family. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He was very careful about conserving gasoline. This was a person. He was an expert barbecuer. This was a person. She was a scout leader.  She abused cars. This was a person. She was very careful about conserving gasoline. This was a person. He was allergic to peanuts. He was polite to salesmen. This was a person. He was a wedding photographer. He was good at job interviews. This was a person. He ate a lot of raisins. He was a hoarder. This was a person. She  was a tailor. She was working  her  way through all of the shows on Netflix. This was a person. She  was a virgin. This was a person. She  had a hangover yesterday. This was a person. He had long fingernails. This was a person. He was afraid of heights. This was a person. He helped people. This was a person. She could fall asleep anywhere.

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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