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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 chewed nicotine gum. He loved MASH. This was a person. He survived cancer. This was a person. He ate a lot of kale. This was a person. She never finished the book club book. She wore a lot of hats.  This was a person. He had bonsai trees. This was a person. She occasionally shop lifted. This was a person. She  was learning to use CAD software. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He taught guitar. This was a person. He never drank coffee. This was a person. He had a lot of shoes. This was a person. She played chess. This was a person. She always brought reusable bags into the store. This was a person. He was afraid of heights. This was a person. She never drank coffee. She wanted to learn magic. This was a person. She  was sort of selfish in bed. She just had  her car stereo repaired. This was a person. He was rebuilding an engine. This was a person. She was gluten intolerant. She could play cricket. This was a person. She was a wedding photographer. This was a person. She played chess. This was a person. He snored. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She just had  her car stereo repaired. This was a person. She was a cheapskate. This was a person. He constantly wore sunglasses. He loved oreos. This was a person. She was a glassblower. 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 learning to speak French. He  was learning to use CAD software. This was a person. He had a lot of Beatles records. This was a person. He ate a lot of fiber. This was a person. She could fix anything. This was a person. He went to the horseraces. This was a person. He had long fingernails. This was a person. He slept around. This was a person. He wore bow ties. This was a person. She  was a pharmacist. She  could always get tickets. This was a person. He loved oreos. This was a person. He always brought reusable bags into the store. He wore Spandex. This was a person. He was sporty. This was a person. She led the choir. This was a person. He  had a personal injury lawsuit working its way through the courts. This was a person. He went to the horseraces. This was a person. He chewed gum constantly. He was allergic to peanuts. This was a person. He ate a lot of raisins. This was a person. He loved fine dining. This was a person. She had extensions. This was a person. She overtipped. This was a person. He ate a lot of fiber. This was a person. He got thrown off of a golf course. This was a person. He taught guitar. This was a person. She excelled at woodworking. This was a person. She  finished reading all of the works of Homer. She  was playing nine games of Words with Friends on  her  phone. This was a person. She had a twin. She  was sleeping with  her  ex. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She could fall asleep anywhere. This was a person. She was a cheapskate. She made scrapbooks. This was a person. He  was a poet. This was a person. She  was a mason. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She didn't get along with animals. This was a person. He was kind of addicted to ebay. This was a person. She ate a lot of fish. This was a person. He was gluten intolerant. This was a person. He ate a lot of fiber. This was a person. She did not own a fridge. She looked like a cartoon. This was a person. She was allergic to peanuts. This was a person. He  only ever had sex with one person. He  was a historian. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She tutored kids. This was a person. He helped strangers. This was a person. She picked up litter.  This was a person. He didn't have a family. This was a person. She did not own a fridge. She was the unofficial relationship guru among   friends. This was a person. She had long fingernails. This was a person. She was the richest of  her friends. This was a person. He was polite to salesmen. He was a hoarder. This was a person. He was a dog person. This was a person. He had a gun. This was a person. He  loved to make out. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She overtipped. This was a person. She  finished reading all of the works of Homer. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. He had an unfortunate nickname. He picked up litter.  This was a person. He was thrifty. He could play trumpet. This was a person. He had an awesome home theatre. This was a person. She wore a lot of jewelry. This was a person. He did not sleep with a pillow. He had tropical fish. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He wanted to learn magic. This was a person. She was a skilled woodcarver. This was a person. She was very good at cleaning. She wore a lot of hats.  This was a person. She was a skilled woodcarver. She was a glassblower. This was a person. He  scalped tickets He never carried cash. This was a person. He survived cancer. He overtipped. This was a person. He loved James Bond movies. This was a person. She had crazy hair colors. This was a person. He chewed nicotine gum. He occasionally shop lifted. This was a person. He loved to fish. This was a person. She ate the food at convenience stores.

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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