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 kind of an awesome lover.

This was a person. She had VD.

This was a person. He excelled at woodworking.

This was a person. She ate a lot of fish. She was good at job interviews.

This was a person. She had a hangover yesterday.

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

This was a person. She grew up on a farm.

This was a person. He loved cigarettes.

This was a person. He was homophobic. He wanted to learn magic.

This was a person. He was a plumber. He never carried cash.

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 was allergic to peanuts. He sang.

This was a person. She brought great food to social gatherings.

This was a person. He could fix anything.

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

This was a person. He abused cars.

This was a person. He could play trumpet.

This was a person. He looked like a cartoon. He grew up on a farm.

This was a person. He helped strangers. He loved MASH.

This was a person. He was polite to telemarketers.

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

This was a person. He had a baby boy.

This was a person. She never drank coffee. She loved nachos.

This was a person. He had a bunch of cameras. He loved pot.

This was a person. She had long fingernails.

This was a person. She had a sexy phone voice.

This was a person. He wanted to learn magic. He loved cigarettes.

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

This was a person. He was a cat person.

This was a person. She ate a lot of hot dogs.

This was a person. He was a skilled woodcarver. He was thrifty.

This was a person. She made pie.

This was a person. She played a lot of social card games.

This was a person. She watched a lot of sports on TV, but never played them herself.

This was a person. She wore a lot of hats. She plays fantasy football.

This was a person. She was a scout leader.

This was a person. She was afraid of flying.

This was a person. He got out of jail two years ago and never reunited with his family. He was awaiting judgement for a DUI last month.

This was a person. She made scrapbooks.

This was a person. He was living with his sister.

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

This was a person. He had a baby boy. He had VD.

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

This was a person. She was polite to salesmen. She wore Spandex.

This was a person. She was thrifty. She lived on breakfast bars.

This was a person. She was an awful driver.

This was a person. She was a translator. She was a trivia master.

This was a person. She picked up litter.

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

This was a person. He was a tailor. He was a Mac evangelist.

This was a person. He was rebuilding an engine. He did not sleep with a pillow.

This was a person. He ate a lot of hot dogs.

This was a person. He was a trivia master.

This was a person. He was a glassblower.

This was a person. He played piano. He wrote for the newspaper.

This was a person. He was a historian. He played soccer every weekend.

This was a person. She loved to make out.

This was a person. He ate a lot of hot dogs.

This was a person. He loved to fish.

This was a person. He loved cigarettes.

This was a person. He never raised hisvoice.

This was a person. She made her own beer and was kind of stingy with it. She did not sleep with a pillow.

This was a person. She was a translator.

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

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

This was a person. She was an expert barbecuer.

This was a person. He had a gun.

This was a person. She was a teacher.

This was a person. She loved chocolate.

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

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

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

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

This was a person. She had a lot of shoes. She loved museums.

This was a person. He was living with his sister. He was afraid of flying.

This was a person. He played a lot of social card games.

This was a person. He loved oreos.

This was a person. He was a teacher.

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

This was a person. He was a tailor.

This was a person. She was a translator.

This was a person. He spent a lot of time with old people. He fed the birds.

This was a person. She slept around. She got thrown off of a golf course.

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

This was a person. He brought great food to social gatherings.

This was a person. He could always get tickets.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He was a historian.

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

This was a person. She was a street vendor.

This was a person. He was the richest of his friends.

This was a person. He wore a lot of jewelry.

This was a person. She was good at job interviews.

This was a person. He was a poet.

This was a person. He could play trumpet.

This was a person. She couldn't grow a mustache.

This was a person. He could always get tickets.

This was a person. He was afraid of the water.

This was a person. He abused cars.

This was a person. She had a bunch of tattoos. She had an awesome home theatre.

This was a person. She was a cheapskate. She chewed nicotine gum.

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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