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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 personal injury lawsuit working its way through the courts. This was a person. She always had a clean car. She had an unfortunate nickname. This was a person. She taught guitar. She never ate breakfast. This was a person. He couldn't grow a mustache. This was a person. She picked up litter.  This was a person. She was a good dancer. This was a person. He did not sleep with a pillow. This was a person. He had tropical fish. This was a person. He was very good at cleaning. This was a person. She made pie. This was a person. He knew how to get free satelittle television. This was a person. She chewed nicotine gum. This was a person. She ate a lot of fiber. This was a person. He  had a hangover yesterday. He  was a translator. This was a person. She did not sleep with a pillow. This was a person. He has a suit at the cleaners. He had braces on  his  teeth. This was a person. He  was a virgin. This was a person. He  was a tailor. This was a person. She  always bought flowers for  her  desk. This was a person. He has four overdue books.  This was a person. She can't watch the end of T2 without crying This was a person. She loved pot. She never finished the book club book. This was a person. He had an unfortunate nickname. This was a person. She always wore a hat. She was a good dancer. This was a person. She wore Spandex. This was a person. She occasionally shop lifted. She helped the widow next door. This was a person. She wore a lot of jewelry. This was a person. She had long fingernails. This was a person. She loved cigarettes. This was a person. He took careful notes after every meal. This was a person. He had a baby boy. This was a person. He  was a drunk. This was a person. He was a cheapskate. He had just paid a crapload of money to get    teeth fixed. This was a person. She was an awful driver. This was a person. He was cockeyed. This was a person. She  was afraid of flying. This was a person. She played chess. She loved rollerblading. This was a person. He excelled at woodworking. This was a person. She was a scout leader.  This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He prefered bread without crusts. This was a person. She ate a lot of fish. This was a person. She threw a lot of parties. This was a person. She was a hoarder. This was a person. She  was a plumber. This was a person. He had a lot of shoes. This was a person. She always wore a hat. She was very good at cleaning. This was a person. She has a suit at the cleaners. This was a person. She  was a virgin. This was a person. He wore a lot of jewelry. This was a person. She wore bow ties. She helped the widow next door. This was a person. He  loved to make out. This was a person. She  was learning to speak French. She  was kind of an awesome lover. This was a person. He could fall asleep anywhere. This was a person. He  had VD. This was a person. He was kind of addicted to ebay. This was a person. She wore earphones all the time. She was homophobic. 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 a tailor. He has a suit at the cleaners. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  was a tailor. This was a person. He always had a clean car. This was a person. She had a bunch of tattoos. This was a person. He was a crossword whiz. This was a person. She was allergic to peanuts. She was very good at cleaning. This was a person. She was a secret Buddahist. This was a person. She was the unofficial relationship guru among   friends. This was a person. He was kind of addicted to ebay. This was a person. She helped strangers. This was a person. He just had  his car stereo repaired. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. She was an awful driver. This was a person. He never carried cash. This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. She was a wedding photographer. This was a person. He could play trumpet. He loved pot. This was a person. She was 4 days sober. This was a person. She had extensions. She led the choir. This was a person. She picked up litter.  This was a person. She was living with her sister. This was a person. She had a lot of shoes. This was a person. He ate a lot of fish. He could play banjo. This was a person. She  was sort of selfish in bed. This was a person. He picked up litter.  This was a person. She  was a street vendor. This was a person. She had extensions. This was a person. She  was a poet. This was a person. She was an awful driver. This was a person. He was polite to salesmen. This was a person. She was living with her sister. This was a person. He knew how to get free satelittle television. This was a person. He had a gun. This was a person. He slept around. This was a person. He  could always get tickets. This was a person. He  played soccer every weekend. He was afraid of heights. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. This was a person. She could juggle. She was polite to telemarketers. This was a person. She had a podcast. She had long fingernails. This was a person. She was a cheapskate. This was a person. He was good at job interviews. He ate a lot of fiber. This was a person. She sang.

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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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