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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  went to church. This was a person. She ate a lot of hot dogs. She always had a clean car. This was a person. She  was a poet. This was a person. She survived cancer. This was a person. He was the unofficial relationship guru among   friends. This was a person. He slept around. This was a person. He was a vegetarian. He prefered bread without crusts. This was a person. She was cockeyed. This was a person. She chewed nicotine gum. She loved museums. This was a person. He had an awesome home theatre. This was a person. She  was a street vendor. She was working  her  way through all of the shows on Netflix. This was a person. He smoked pot at music festivals. This was a person. She could play harmonica. This was a person. She  could always get tickets. This was a person. He  was learning to speak French. This was a person. She  was a plumber. This was a person. She led the choir. This was a person. She was homophobic. This was a person. She was a dog person. This was a person. She  was sort of selfish in bed. This was a person. He  was learning to speak French. This was a person. He had extensions. He had a green thumb. This was a person. She was polite to salesmen. This was a person. She just had the bandages removed from  plastic surgery. She was cockeyed. This was a person. He had an unfortunate nickname. He went to the horseraces. This was a person. She never drank coffee. This was a person. He could fall asleep anywhere. This was a person. She was sporty. This was a person. She never finished the book club book. This was a person. She was a cheapskate. This was a person. He never raised  hisvoice. This was a person. She  was a street vendor. This was a person. He has a suit at the cleaners. This was a person. She talked during movies. She made pie. This was a person. He was living with his sister. He  loved to make out. This was a person. She ate a lot of chinese food. This was a person. She loved oreos. This was a person. She had a bunch of cameras. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. She survived cancer. This was a person. He wore bow ties. He smoked pot at music festivals. This was a person. She  was a tailor. This was a person. He always had gum. He played chess. This was a person. She helped strangers. She was really good at geography. This was a person. She  did open mike. This was a person. She was a crossword whiz. This was a person. He  was playing nine games of Words with Friends on  his  phone. He  could always get tickets. This was a person. He was left-handed. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. He  was a street vendor. This was a person. He talked during movies. This was a person. She had an awesome home theatre. She had tropical fish. This was a person. She prefered bread without crusts. She sang. This was a person. She led the choir. This was a person. He  had a hangover yesterday. This was a person. He was the unofficial relationship guru among   friends. He was a scout leader.  This was a person. He  was a historian. He  played soccer every weekend. This was a person. He was cockeyed. He occasionally shop lifted. 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. He had a lot of Beatles records. This was a person. She had a green thumb. This was a person. She  was a plumber. This was a person. She played piano. She helped people. This was a person. He  was a DJ. This was a person. She got thrown off of a golf course. This was a person. He plays fantasy football. This was a person. He occasionally shop lifted. This was a person. He  always bought flowers for  his  desk. This was a person. She ate a lot of raisins. This was a person. She could play cricket. This was a person. She survived cancer. This was a person. He  was sleeping with  his  ex. He  was a pharmacist. This was a person. She constantly wore sunglasses. This was a person. He loved nachos. This was a person. She could fix anything. This was a person. She ate a lot of fish. She ate a lot of chinese food. This was a person. She was rough and tumble. This was a person. He could play harmonica. This was a person. She wore earphones all the time. This was a person. He made pie. This was a person. She sang. This was a person. She was a dog person. She never ate breakfast. This was a person. He never carried cash. This was a person. He wanted to learn magic. This was a person. She was always in a hurry. This was a person. She couldn't grow a mustache. This was a person. She had crazy hair colors. She had an unfortunate nickname. This was a person. He lived on breakfast bars. This was a person. He tutored kids. He wore a lot of hats.  This was a person. She  did open mike. This was a person. She was good at job interviews. This was a person. He was very good at cleaning. This was a person. She always wore a hat. She played a lot of social card games.  This was a person. She slept around. She went to the horseraces. This was a person. He led the choir. This was a person. He wore a lot of jewelry. This was a person. He wore earphones all the time. This was a person. She brought great food to social gatherings. She could juggle. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He spent a lot of time with old people. He has a music afficianado. This was a person. She loved wine.

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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