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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 extensions. This was a person. He has four overdue books.  This was a person. She had long fingernails. This was a person. She loved nachos. This was a person. He was polite to telemarketers. He loved cigarettes. This was a person. She had extensions. This was a person. She  was a tailor. 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 looked like a cartoon. This was a person. He  was a plumber. This was a person. She did not own a fridge. This was a person. She  played soccer every weekend. She never carried cash. This was a person. She had an unfortunate nickname. This was a person. He  was a translator. He can't watch the end of T2 without crying This was a person. She  went to church. This was a person. He was very good at cleaning. This was a person. She spent a lot of time with old people. She couldn't stand having the air-conditioner blow on   herself . This was a person. She was good at job interviews. She was a good dancer. This was a person. He loved wine. This was a person. She spends a lot of time watching tennis. This was a person. He was an expert barbecuer. This was a person. He survived cancer. This was a person. He  always bought flowers for  his  desk. He was a crossword whiz. This was a person. He abused cars. This was a person. She loved wine. She was very careful about conserving gasoline. This was a person. He  was training to run a marathon. This was a person. She occasionally shop lifted. This was a person. She didn't get along with animals. This was a person. She picked up litter.  This was a person. He never raised  hisvoice. He was a glassblower. This was a person. She spent a lot of time with old people. This was a person. He made  his  own beer and was kind of stingy with it. He did not sleep with a pillow. This was a person. She was afraid of heights. This was a person. He had a lot of Beatles records. This was a person. He took careful notes after every meal. He made pie. This was a person. He  was sort of selfish in bed. This was a person. He got thrown off of a golf course. He spent a lot of time with old people. This was a person. She lived on breakfast bars. This was a person. He played a lot of social card games.  This was a person. He didn't get along with animals. He was good to people. This was a person. She  was sort of selfish in bed. This was a person. She had crazy hair colors. She got thrown off of a golf course. This was a person. He loved pot. This was a person. He always had a clean car. This was a person. He always wore a hat. He loved fine dining. This was a person. He abused cars. This was a person. She abused cars. This was a person. She plays fantasy football. She loved MASH. This was a person. He was sporty. He abused cars. This was a person. She  collected figurines. She  was playing nine games of Words with Friends on  her  phone. This was a person. She knew how to get free satelittle television. This was a person. She had an awesome home theatre. This was a person. He was a good dancer. He didn't get along with animals. This was a person. She had a twin. This was a person. She wore a lot of jewelry. This was a person. He had a lot of Beatles records. This was a person. He loved cigarettes. This was a person. He always had gum. He was good to people. This was a person. She loved oreos. She wanted to learn magic. This was a person. She had a bunch of cameras. This was a person. She was a hoarder. This was a person. He was a dog person. This was a person. He  went to church. This was a person. She played chess. This was a person. He  had VD. He  was a poet. This was a person. He played chess. He occasionally shop lifted. This was a person. She had tropical fish. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She was working  her  way through all of the shows on Netflix. She had a lot of Beatles records. This was a person. She once robbed a bank. This was a person. He had an awesome home theatre. This was a person. She was good at job interviews. This was a person. He ate a lot of raisins. He had crazy hair colors. This was a person. He kept to himself mostly He could play banjo. This was a person. He had a baby boy. This was a person. She slept around. This was a person. She survived cancer. This was a person. He  was kind of an awesome lover. This was a person. She was cockeyed. She was good to people. This was a person. She never ate breakfast. This was a person. She was afraid of heights. This was a person. He took a lot of photos. This was a person. He did not own a fridge. This was a person. He looked like a cartoon. This was a person. He  was a drunk. This was a person. He abused cars. This was a person. He lived on breakfast bars. This was a person. She knew how to get free satelittle television. This was a person. He always had a clean car. This was a person. He  had a hangover yesterday. He  was kind of an awesome lover. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. She  was learning to speak French. This was a person. He  finished reading all of the works of Homer. He  was learning to use CAD software. This was a person. He survived cancer. This was a person. He  was a teacher. This was a person. He always had gum. This was a person. He was good at job interviews. This was a person. He  was sort of selfish in bed. This was a person. He loved oreos. This was a person. She ate the food at convenience stores. She was balding.

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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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