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. She loved James Bond movies.

This was a person. He slept around.

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

This was a person. He was an expert barbecuer. He was obsessed with sitcoms.

This was a person. She was a poet.

This was a person. She made scrapbooks.

This was a person. He abused cars.

This was a person. He was a cheapskate.

This was a person. She chewed nicotine gum.

This was a person. He had long fingernails.

This was a person. He was learning to use CAD software.

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

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 never drank coffee.

This was a person. He excelled at woodworking. He couldn't swim.

This was a person. He kept to himself mostly He did not own a fridge.

This was a person. She had extensions.

This was a person. She could juggle. She loved cigarettes.

This was a person. She was polite to salesmen.

This was a person. She loved Elvis.

This was a person. He prefered bread without crusts.

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

This was a person. He can't watch the end of T2 without crying

This was a person. He went to church.

This was a person. He went to the horseraces. He picked up litter.

This was a person. She loved wine.

This was a person. He never raised hisvoice.

This was a person. He loved to fish.

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

This was a person. He was polite to salesmen.

This was a person. He was a wedding photographer.

This was a person. He loved to fish.

This was a person. He was a good dancer.

This was a person. He collected figurines. He was a historian.

This was a person. She looked like a cartoon. She led the choir.

This was a person. He was a mason.

This was a person. She loved Elvis.

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 wore earphones all the time. She took a lot of photos.

This was a person. She was kind of an awesome lover. She made her own beer and was kind of stingy with it.

This was a person. She did not own a fridge.

This was a person. He was afraid of heights.

This was a person. He survived cancer.

This was a person. She was a trivia master.

This was a person. He never ate breakfast.

This was a person. She loved to fish. She was the richest of her friends.

This was a person. She chewed gum constantly. She loved chocolate.

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

This was a person. He could fall asleep anywhere.

This was a person. He taught guitar.

This was a person. He never finished the book club book.

This was a person. He was rebuilding an engine.

This was a person. He loved chocolate.

This was a person. He had an awesome home theatre.

This was a person. He loved nachos.

This was a person. She was left-handed.

This was a person. He was a street vendor. He had a bunch of tattoos.

This was a person. He tutored kids.

This was a person. She collected figurines. She was sort of selfish in bed.

This was a person. She wrote for the newspaper.

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

This was a person. She had a podcast.

This was a person. She abused cars.

This was a person. She made scrapbooks. She rode motorcycles.

This was a person. He survived cancer.

This was a person. She constantly wore sunglasses.

This was a person. He played a lot of social card games. He spends a lot of time watching tennis.

This was a person. He loved fine dining.

This was a person. He loved to fish.

This was a person. He was the unofficial relationship guru among friends. He sang at parties.

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

This was a person. He was a Mac evangelist. He helped people.

This was a person. He loved Elvis.

This was a person. She was a crossword whiz.

This was a person. She was lactose intolerant.

This was a person. She was a mason.

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

This was a person. He was always in a hurry.

This was a person. He was a street vendor. He can't watch the end of T2 without crying

This was a person. She was gluten intolerant. She always had a clean car.

This was a person. He called in sick to work 9 times last month and was written up at work.

This was a person. She chewed nicotine gum.

This was a person. She ate a lot of raisins. She loved pot.

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

This was a person. He was afraid of flying. He was a mason.

This was a person. He got out of jail two years ago and never reunited with his family. He was training to run a marathon.

This was a person. He was an awful driver. He loved to fish.

This was a person. He played piano.

This was a person. She was a cheapskate.

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

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 could fall asleep anywhere.

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

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

This was a person. He snored.

This was a person. She didn't have a family. She was training to run a marathon.

This was a person. She had tropical fish.

This was a person. She was a dog person.

This was a person. He was the richest of his friends. He threw a lot of parties.

This was a person. She loved chocolate.

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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