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 living with his sister.

This was a person. She was a translator.

This was a person. He took a lot of photos.

This was a person. She played piano.

This was a person. He played soccer every weekend.

This was a person. He was a plumber. He could always get tickets.

This was a person. He was a street vendor.

This was a person. He excelled at woodworking.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge. She was a teacher.

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

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

This was a person. She looked like a cartoon.

This was a person. She was a teacher.

This was a person. She had long fingernails.

This was a person. He didn't have a family. He had a personal injury lawsuit working its way through the courts.

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

This was a person. He was a cat person. He never ate breakfast.

This was a person. She survived cancer.

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

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

This was a person. She played World of Warcraft

This was a person. He was very good at cleaning. He survived cancer.

This was a person. She was a cheapskate.

This was a person. She was a vegetarian.

This was a person. She could play cricket.

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

This was a person. She scalped tickets

This was a person. He prefered bread without crusts.

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

This was a person. She had just paid a crapload of money to get teeth fixed.

This was a person. He had tropical fish.

This was a person. She smoked pot at music festivals. She had a tiny wine collection.

This was a person. She was training to run a marathon.

This was a person. She smoked pot at music festivals. She had a tiny wine collection.

This was a person. She slept around.

This was a person. She was an awful driver. She made pie.

This was a person. She was a tailor.

This was a person. She was a mason.

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

This was a person. He never drank coffee.

This was a person. She was a teacher.

This was a person. He made pie. He was a wedding photographer.

This was a person. He could play trumpet.

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

This was a person. She was an expert barbecuer. She was really good at geography.

This was a person. She was lactose intolerant. She ate a lot of raisins.

This was a person. She sang. She survived cancer.

This was a person. He got thrown off of a golf course.

This was a person. He was afraid of heights.

This was a person. He was cockeyed.

This was a person. She was a Mac evangelist.

This was a person. She loved fine dining.

This was a person. He was a mason.

This was a person. He was a DJ.

This was a person. He loved chocolate.

This was a person. He had crazy hair colors.

This was a person. He always wore a hat. He was very good at cleaning.

This was a person. He tutored kids.

This was a person. She kept to herself mostly

This was a person. She wore earphones all the time. She could fall asleep anywhere.

This was a person. She was a teacher.

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

This was a person. She was the richest of her friends.

This was a person. He threw a lot of parties.

This was a person. She taught guitar.

This was a person. She had a gun. She took a lot of photos.

This was a person. He had a green thumb. He loved MASH.

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

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

This was a person. She was good to people.

This was a person. She ate the food at convenience stores.

This was a person. She loved nachos.

This was a person. He had a gun.

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

This was a person. She was very careful about conserving gasoline. She was sporty.

This was a person. She could play trumpet.

This was a person. She sang at parties. She made scrapbooks.

This was a person. He loved pot.

This was a person. She was living with her sister. She finished reading all of the works of Homer.

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

This was a person. He scalped tickets

This was a person. He loved nachos. He sang at parties.

This was a person. She constantly wore sunglasses.

This was a person. She was an awful driver.

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

This was a person. She was very careful about conserving gasoline.

This was a person. She was homophobic.

This was a person. She collected figurines.

This was a person. She was an awful driver.

This was a person. He knew how to get free satelittle television. He smoked pot at music festivals.

This was a person. He never raised hisvoice.

This was a person. He was a drunk.

This was a person. She smoked pot at music festivals. She fed the birds.

This was a person. He always brought lunch. He prefered bread without crusts.

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

This was a person. She had extensions.

This was a person. She was afraid of heights.

This was a person. She went to church.

This was a person. She wore a lot of hats.

This was a person. He was an awful driver.

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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