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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 prefered bread without crusts. This was a person. He survived cancer. This was a person. He was a cheapskate. This was a person. He  could always get tickets. This was a person. She had a sexy phone voice. This was a person. She was a secret Buddahist. She always brought lunch. This was a person. She  was a tailor. This was a person. She had a green thumb. This was a person. He slept around. This was a person. He had a green thumb. He was good to people. This was a person. He  was awaiting judgement for a DUI last month. He  was a DJ. This was a person. She never carried cash. She wore earphones all the time. This was a person. He  was a teacher. He  played soccer every weekend. This was a person. He played World of Warcraft This was a person. She was allergic to peanuts. This was a person. She loved wine. This was a person. He took a lot of photos. This was a person. He  could always get tickets. He had an awesome home theatre. This was a person. He helped strangers. This was a person. She never finished the book club book. She spends a lot of time watching tennis. This was a person. She did not own a fridge. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He smoked pot at music festivals. This was a person. She made  her  own beer and was kind of stingy with it. She loved to fish. This was a person. She  only ever had sex with one person. This was a person. He had a lot of Beatles records. He was thrifty. This was a person. She  was a plumber. She just had  her car stereo repaired. This was a person. She  went to church. This was a person. He had a gun. This was a person. She did not own a fridge. This was a person. He was very good at cleaning. This was a person. He played chess. This was a person. He has four overdue books.  This was a person. She played piano. This was a person. She never drank coffee. This was a person. She was a wedding photographer. This was a person. He was kind of addicted to ebay. This was a person. He  was a translator. This was a person. He couldn't grow a mustache. This was a person. He was polite to salesmen. This was a person. She loved fine dining. This was a person. She was a dog person. She was gluten intolerant. This was a person. She tutored kids. This was a person. She  was sleeping with  her  ex. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. This was a person. She loved cigarettes. This was a person. He  could always get tickets. This was a person. He had a baby boy. This was a person. He prefered bread without crusts. He was polite to salesmen. This was a person. She was lactose intolerant. This was a person. He loved James Bond movies. This was a person. She kept to herself mostly She was good at job interviews. This was a person. She ate a lot of fiber. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. He  was a virgin. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She loved nachos. This was a person. He could fall asleep anywhere. This was a person. She spends a lot of time watching tennis. She was balding. This was a person. She got out of jail two years ago and never reunited with her family. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She  was a teacher. This was a person. She survived cancer. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. He had a gun. This was a person. She knew a lot of cops. This was a person. He had an unfortunate nickname. This was a person. He took careful notes after every meal. This was a person. She always wore a hat. This was a person. He was a dog person. This was a person. He had a bunch of cameras. This was a person. She snored. 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 twin. This was a person. She ate the food at convenience stores. She once robbed a bank. This was a person. She wore a lot of hats.  This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. She  was a tailor. This was a person. She had bonsai trees. This was a person. He had tropical fish. This was a person. She was an expert barbecuer. This was a person. She wore bow ties. This was a person. He was cockeyed. He was balding. This was a person. He  was sleeping with  his  ex. This was a person. She overtipped. This was a person. He  was sort of selfish in bed. This was a person. She always had gum. This was a person. He was a crossword whiz. This was a person. She ate a lot of fiber. She always wore a hat. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He kept to himself mostly This was a person. She was an awful driver. This was a person. She tutored kids. This was a person. He never finished the book club book. This was a person. He took careful notes after every meal. He had a gun. This was a person. He always brought reusable bags into the store. This was a person. She talked during movies. This was a person. She made pie. This was a person. He wore bow ties. This was a person. He  had VD. This was a person. She looked like a cartoon. This was a person. He had long fingernails. This was a person. She lived on breakfast bars.

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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