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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 wore earphones all the time. This was a person. He spends a lot of time watching tennis. This was a person. She was living with her sister. This was a person. She never raised  hervoice. This was a person. She constantly wore sunglasses. This was a person. She loved cigarettes. She sang at parties. This was a person. She had tropical fish. This was a person. She  could always get tickets. This was a person. She was rebuilding an engine. This was a person. He was a glassblower. This was a person. He did not sleep with a pillow. This was a person. She helped people. She snored. This was a person. He could play banjo. This was a person. She  scalped tickets This was a person. He loved fine dining. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. She was good to people. She was convinced he was color blind. This was a person. He couldn't grow a mustache. This was a person. He loved Elvis. This was a person. He had a bunch of tattoos. He could fall asleep anywhere. This was a person. She was cockeyed. This was a person. She occasionally shop lifted. This was a person. He was good to people. This was a person. He played piano. He never ate breakfast. This was a person. She had an awesome home theatre. This was a person. She always had gum. This was a person. He had a bunch of tattoos. This was a person. He didn't have a family. He  was kind of an awesome lover. This was a person. She was an expert barbecuer. This was a person. She plays fantasy football. This was a person. She  did open mike. This was a person. He did not own a fridge. This was a person. She  always bought flowers for  her  desk. She  was a poet. This was a person. He was gluten intolerant. He had long fingernails. This was a person. She has four overdue books.  She spent a lot of time with old people. This was a person. He has a suit at the cleaners. This was a person. She had bonsai trees. She loved wine. This was a person. He plays fantasy football. This was a person. He abused cars. This was a person. She sang. She didn't get along with animals. This was a person. She was working  her  way through all of the shows on Netflix. She was a Mac evangelist. This was a person. She was afraid of the water. This was a person. She was 4 days sober. She  was a teacher. This was a person. He ate a lot of chinese food. This was a person. She could juggle. This was a person. She helped strangers. This was a person. She was the richest of  her friends. This was a person. She played piano. This was a person. He has four overdue books.  This was a person. She could juggle. She did not own a fridge. This was a person. She  was a historian. This was a person. He had a podcast. He ate a lot of fiber. This was a person. She was a scout leader.  This was a person. She was polite to salesmen. This was a person. She loved pot. She always had gum. This was a person. He wore a lot of jewelry. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She had a podcast. She was lactose intolerant. This was a person. He always had gum. He spends a lot of time watching tennis. This was a person. She did not own a fridge. This was a person. He  went to church. This was a person. She was a crossword whiz. She had an awesome home theatre. This was a person. She always made the mashed potatoes at family get-togethers. She  was training to run a marathon. This was a person. He always had a clean car. This was a person. He helped strangers. He excelled at woodworking. This was a person. He  finished reading all of the works of Homer. This was a person. He could play cricket. He loved nachos. This was a person. He ate a lot of fiber. This was a person. She had extensions. This was a person. She  had a personal injury lawsuit working its way through the courts. She loved James Bond movies. This was a person. He was very good at cleaning. He tutored kids. This was a person. She loved Elvis. This was a person. She never carried cash. 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 always had a clean car. This was a person. He was good to people. This was a person. He had crazy hair colors. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. This was a person. She was polite to telemarketers. She had extensions. This was a person. She can't watch the end of T2 without crying This was a person. He  went to church. This was a person. She was a glassblower. This was a person. He loved nachos. This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. He was a crossword whiz. This was a person. She ate a lot of fish. This was a person. He had a lot of Beatles records. This was a person. He tutored kids. This was a person. He has two living parents. This was a person. She  was a virgin. She made  her  own beer and was kind of stingy with it. This was a person. She played chess. She loved museums. This was a person. She was a secret Buddahist. She never drank coffee. This was a person. He was divorced. This was a person. He smoked pot at music festivals. This was a person. She  was a drunk. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He was very careful about conserving gasoline. He had crazy hair colors. This was a person. He loved nachos. This was a person. She was a cheapskate. She helped strangers. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He didn't get along with animals.

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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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