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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 had a green thumb. This was a person. He was working  his  way through all of the shows on Netflix. He was a Mac evangelist. This was a person. He  could always get tickets. This was a person. She was afraid of heights. She never carried cash. This was a person. He wore earphones all the time. He was homophobic. This was a person. She helped people. She had a bunch of cameras. This was a person. He sang. This was a person. He always made the mashed potatoes at family get-togethers. He  was a street vendor. This was a person. He had a lot of shoes. This was a person. He could fall asleep anywhere. This was a person. He has a suit at the cleaners. This was a person. She loved oreos. This was a person. He picked up litter.  This was a person. She loved chocolate. She looked like a cartoon. This was a person. She never raised  hervoice. This was a person. He had a lot of music on vinyl. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. She  was a plumber. This was a person. He survived cancer. This was a person. She  was a street vendor. This was a person. He brought great food to social gatherings. This was a person. She could fix anything. This was a person. He sang at parties. This was a person. He never ate breakfast. This was a person. She  was sleeping with  her  ex. She  played soccer every weekend. This was a person. He was thrifty. This was a person. She could fall asleep anywhere. This was a person. She had a gun. She played piano. This was a person. She was kind of addicted to ebay. She constantly wore sunglasses. This was a person. She was rough and tumble. This was a person. She helped strangers. This was a person. She had a lot of shoes. This was a person. He was sporty. This was a person. He was good to people. This was a person. She was good at job interviews. This was a person. He was good at job interviews. He loved wine. This was a person. He  was a virgin. This was a person. She loved James Bond movies. This was a person. She  was a street vendor. This was a person. He helped strangers. This was a person. She had bonsai trees. This was a person. She  was a DJ. This was a person. He was living with his sister. He  loved to make out. This was a person. She had just paid a crapload of money to get    teeth fixed. She occasionally shop lifted. This was a person. He picked up litter.  He occasionally shop lifted. This was a person. She  was learning to speak French. She  was a mason. This was a person. She loved fine dining. This was a person. He had long fingernails. This was a person. She  was a translator. 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 looked like a cartoon. She grew up on a farm.  This was a person. She was good at job interviews. She was polite to salesmen. This was a person. He was a secret Buddahist. This was a person. She was a glassblower. This was a person. She  called in sick to work 9 times last month and was written up at work. She  was a historian. This was a person. He always had gum. This was a person. She  loved to make out. She has a suit at the cleaners. This was a person. She couldn't grow a mustache. This was a person. She played piano. This was a person. He always wore a hat. This was a person. She can't watch the end of T2 without crying This was a person. He loved cigarettes. This was a person. She did not sleep with a pillow. This was a person. She never carried cash. This was a person. He  was a plumber. This was a person. She ate a lot of fiber. This was a person. He ate a lot of hot dogs. This was a person. He could juggle. This was a person. He had a lot of shoes. He was convinced he was color blind. This was a person. He could fix anything. This was a person. He was a secret Buddahist. This was a person. He was afraid of heights. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. He knew how to get free satelittle television. He was good to people. This was a person. She had a lot of music on vinyl. This was a person. He was allergic to peanuts. He was very careful about conserving gasoline. This was a person. He loved chocolate. This was a person. He slept around. He went to the horseraces. This was a person. He led the choir. He smoked pot at music festivals. This was a person. He loved pot. He did not own a fridge. This was a person. He went to the horseraces. He smoked pot at music festivals. This was a person. He ate a lot of chinese food. This was a person. She had a podcast. This was a person. She led the choir. This was a person. He was the unofficial relationship guru among   friends. This was a person. He was always in a hurry. This was a person. She was polite to telemarketers. 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 was a cat person. This was a person. She could fix anything. This was a person. She  did open mike. This was a person. He survived cancer. This was a person. She was living with her sister. She  had a personal injury lawsuit working its way through the courts. This was a person. She went to the horseraces. This was a person. She excelled at woodworking. She wore a lot of black clothing. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. He  was a virgin. This was a person. She taught guitar. This was a person. He was living with his sister. He  always bought flowers for  his  desk. This was a person. She was a Mac evangelist. This was a person. She was a crossword whiz. This was a person. He  was sort of selfish in bed.

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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