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 a virgin.

This was a person. She prefered bread without crusts.

This was a person. She wore Spandex.

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

This was a person. He knew how to get free satelittle television.

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

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

This was a person. He was afraid of flying. He was a trivia master.

This was a person. She chewed nicotine gum.

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

This was a person. She had tropical fish. She was a vegetarian.

This was a person. He excelled at woodworking.

This was a person. She was very good at cleaning. She tutored kids.

This was a person. He was a scout leader.

This was a person. He had a baby boy.

This was a person. She got out of jail two years ago and never reunited with her family.

This was a person. He wore bow ties. He was diabetic.

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

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

This was a person. He was learning to use CAD software. He could always get tickets.

This was a person. She could play harmonica.

This was a person. She loved Elvis.

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

This was a person. He helped strangers.

This was a person. She had braces on her teeth.

This was a person. He could juggle. He did not own a fridge.

This was a person. She did not own a fridge. She sang at parties.

This was a person. He wore earphones all the time. He was the richest of his friends.

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

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

This was a person. She did open mike.

This was a person. She played World of Warcraft She was an expert barbecuer.

This was a person. She could play banjo.

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

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

This was a person. He never raised hisvoice.

This was a person. She was a poet.

This was a person. He did not sleep with a pillow.

This was a person. He was a street vendor.

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

This was a person. He was a tailor.

This was a person. She always made the mashed potatoes at family get-togethers. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. He excelled at woodworking.

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

This was a person. She did not sleep with a pillow.

This was a person. He loved to make out.

This was a person. She had a green thumb.

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

This was a person. He had long fingernails.

This was a person. He was a trivia master.

This was a person. She abused cars. She was a loner.

This was a person. He was homophobic. He never drank coffee.

This was a person. She was a skilled woodcarver.

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

This was a person. He was a scout leader.

This was a person. He talked during movies.

This was a person. He tutored kids.

This was a person. She played piano.

This was a person. She looked like a cartoon.

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

This was a person. She was good to people.

This was a person. She prefered bread without crusts.

This was a person. She made pie.

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

This was a person. He excelled at woodworking. He contributed to a nearby homeless shelter.

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

This was a person. He was a mason. He had a bunch of tattoos.

This was a person. She helped people.

This was a person. She loved Elvis.

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

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

This was a person. She was learning to use CAD software. She scalped tickets

This was a person. He led the choir. He smoked pot at music festivals.

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

This was a person. She was polite to salesmen.

This was a person. He snored.

This was a person. She had long fingernails. She survived cancer.

This was a person. He was a virgin. He was a crossword whiz.

This was a person. He sang at parties.

This was a person. He could fix anything.

This was a person. She could juggle.

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

This was a person. She ate a lot of chinese food. She always had a clean car.

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

This was a person. She wore Spandex.

This was a person. She was a glassblower.

This was a person. He could fix anything.

This was a person. She had a baby boy.

This was a person. She made scrapbooks. She occasionally shop lifted.

This was a person. He has four overdue books.

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

This was a person. He made pie.

This was a person. He played chess.

This was a person. She was an awful driver.

This was a person. She picked up litter. She was an expert barbecuer.

This was a person. She was a poet.

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

This was a person. He was a poet.

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 sleeping with her ex.

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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