The Banana massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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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 was polite to salesmen.

This was a person. He chewed gum constantly.

This was a person. He made pie. He was a dog person.

This was a person. He always brought reusable bags into the store. He wore Spandex.

This was a person. She was awaiting judgement for a DUI last month.

This was a person. He loved to fish.

This was a person. He always bought flowers for his desk.

This was a person. He ate a lot of chinese food.

This was a person. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. He was gluten intolerant. He was very good at cleaning.

This was a person. He only ever had sex with one person.

This was a person. She looked like a cartoon.

This was a person. He didn't get along with animals.

This was a person. He was divorced.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She was a street vendor.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. She wore earphones all the time.

This was a person. She was a vegetarian. She ate a lot of raisins.

This was a person. He was very good at cleaning. He was sporty.

This was a person. She wore bow ties.

This was a person. She ate a lot of fiber.

This was a person. She survived cancer.

This was a person. He had extensions. He overtipped.

This was a person. She was gluten intolerant.

This was a person. He was sort of selfish in bed.

This was a person. He was working his way through all of the shows on Netflix. He had an awesome home theatre.

This was a person. He ate a lot of fish.

This was a person. He was a cat person.

This was a person. She made scrapbooks.

This was a person. He loved pot.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days.

This was a person. She could play harmonica. She survived cancer.

This was a person. He lived on breakfast bars.

This was a person. She had a lot of shoes. She was convinced he was color blind.

This was a person. She was a teacher.

This was a person. She wrote for the newspaper.

This was a person. He was a translator.

This was a person. She was a tailor.

This was a person. She had a lot of music on vinyl. She was a dog person.

This was a person. He was a historian. He had braces on his teeth.

This was a person. She was a poet. She was a crossword whiz.

This was a person. She was kind of an awesome lover.

This was a person. He never ate breakfast. He was a wedding photographer.

This was a person. He had a podcast.

This was a person. He loved wine.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He had a personal injury lawsuit working its way through the courts.

This was a person. He was a wedding photographer. He loved nachos.

This was a person. She excelled at woodworking.

This was a person. She always had gum.

This was a person. She was a translator. She had a bunch of tattoos.

This was a person. He loved to fish.

This was a person. He loved to make out.

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. He always bought flowers for his desk.

This was a person. He was homophobic.

This was a person. She was polite to salesmen.

This was a person. He looked like a cartoon.

This was a person. She was an expert barbecuer.

This was a person. He sang.

This was a person. She always brought lunch.

This was a person. She was an expert barbecuer.

This was a person. He had a lot of shoes. He rode motorcycles.

This was a person. She wrote for the newspaper.

This was a person. She always made the mashed potatoes at family get-togethers.

This was a person. She played chess. She had lice.

This was a person. She was a plumber.

This was a person. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. He was a teacher.

This was a person. He loved pot.

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 was a vegetarian.

This was a person. She loved oreos.

This was a person. She was playing nine games of Words with Friends on her phone. She loved James Bond movies.

This was a person. She was playing nine games of Words with Friends on her phone. She was a plumber.

This was a person. He ate a lot of raisins.

This was a person. She loved to fish.

This was a person. He was 4 days sober.

This was a person. He always had a clean car.

This was a person. She went to the horseraces.

This was a person. She excelled at woodworking.

This was a person. She was allergic to peanuts. She was the unofficial relationship guru among friends.

This was a person. She had a personal injury lawsuit working its way through the courts. She played soccer every weekend.

This was a person. She spends a lot of time watching tennis.

This was a person. She made scrapbooks.

This was a person. He had a twin.

This was a person. He helped strangers.

This was a person. He knew a lot of cops.

This was a person. She was learning to speak French. She was a trivia master.

This was a person. She could play banjo.

This was a person. He never ate breakfast.

This was a person. He chewed gum constantly. He snored.

This was a person. He has a suit at the cleaners.

This was a person. She took careful notes after every meal.

This was a person. She was a skilled woodcarver. She chewed gum constantly.

This was a person. He loved wine. He was a cheapskate.

This was a person. He had a personal injury lawsuit working its way through the courts. He was a teacher.

This was a person. She smoked pot at music festivals.

This was a person. He was a street vendor. He was an awful driver.

This was a person. He was a street vendor.

This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors. She was a drunk.

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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