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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 looked like a cartoon. This was a person. He had a baby boy. He  was sleeping with  his  ex. This was a person. He didn't have a family. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. He helped people. He kept to himself mostly This was a person. She  was a historian. This was a person. He plays fantasy football. He had a lot of shoes. This was a person. She snored. This was a person. She was a trivia master. This was a person. She sang. This was a person. He always wore a hat. This was a person. She was a cat person. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. She loved chocolate. This was a person. He  was sort of selfish in bed. This was a person. She snored. She could juggle. This was a person. He  was a pharmacist. He was rebuilding an engine. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She was divorced. She was allergic to peanuts. This was a person. She never raised  hervoice. She ate a lot of fish. This was a person. He never drank coffee. This was a person. He ate a lot of kale. He always brought reusable bags into the store. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He was kind of addicted to ebay. This was a person. She was divorced. This was a person. He spends a lot of time watching tennis. This was a person. She always wore a hat. She didn't get along with animals. This was a person. He  finished reading all of the works of Homer. This was a person. She did not sleep with a pillow. She never drank coffee. This was a person. She  was a drunk. She was kind of addicted to ebay. This was a person. She had an awesome home theatre. This was a person. He  was a teacher. He was afraid of heights. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She ate a lot of fish. This was a person. She played a lot of social card games.  This was a person. He was polite to salesmen. This was a person. She  was learning to speak French. This was a person. She  was a translator. This was a person. She had a green thumb. She knew how to get free satelittle television. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He could fall asleep anywhere. This was a person. She had long fingernails. This was a person. She could fall asleep anywhere. This was a person. He was afraid of the water. This was a person. She talked during movies. This was a person. He played piano. This was a person. She ate the food at convenience stores. This was a person. He  was a drunk. This was a person. She knew a lot of cops. This was a person. He had a podcast. This was a person. He loved wine. This was a person. He  was sort of selfish in bed. This was a person. She had an unfortunate nickname. She ate the food at convenience stores. This was a person. She ate a lot of fish. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. He  went to church. He could fix anything. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. She slept around. This was a person. She had extensions. This was a person. She just had  her car stereo repaired. This was a person. She chewed gum constantly. This was a person. He  was kind of an awesome lover. This was a person. He had an unfortunate nickname. He abused cars. This was a person. She has two living parents. She was 4 days sober. This was a person. She always had a clean car. This was a person. He plays fantasy football. This was a person. She  was a plumber. This was a person. He was the unofficial relationship guru among   friends. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. She was good to people. This was a person. He played World of Warcraft This was a person. She was a Mac evangelist. She took a lot of photos. This was a person. He had crazy hair colors. This was a person. He was a secret Buddahist. This was a person. She plays fantasy football. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. She  was playing nine games of Words with Friends on  her  phone. This was a person. She played chess. She helped the widow next door. This was a person. She was a crossword whiz. This was a person. She loved Elvis. This was a person. She threw a lot of parties. This was a person. He spends a lot of time watching tennis. He loved museums. This was a person. She was left-handed. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He loved fine dining. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He was gluten intolerant. This was a person. She was very good at cleaning. This was a person. He was an awful driver. This was a person. She had a lot of Beatles records. This was a person. She  was a historian. This was a person. He helped people. 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. He had an unfortunate nickname. This was a person. He didn't have a family. This was a person. He spent a lot of time with old people. This was a person. He knew a lot of cops. He played piano. This was a person. She loved Elvis. She lived on breakfast bars. This was a person. She has four overdue books.  This was a person. She was a hoarder. This was a person. She sang at parties. She spent a lot of time with old people. This was a person. He was a dog person. He wrote for the newspaper.

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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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