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 sang at parties.

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

This was a person. He was a virgin.

This was a person. She was rough and tumble.

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

This was a person. He was a tailor.

This was a person. He was an expert barbecuer.

This was a person. He was homophobic. He snored.

This was a person. She prefered bread without crusts. She was polite to telemarketers.

This was a person. He was a trivia master.

This was a person. He sang at parties.

This was a person. He had a green thumb. He had a sexy phone voice.

This was a person. She was sporty.

This was a person. She always had gum. She has four overdue books.

This was a person. She went to church.

This was a person. She was an awful driver.

This was a person. She occasionally shop lifted.

This was a person. He was a hoarder.

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

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

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

This was a person. She always wore a hat. She always had gum.

This was a person. He was allergic to peanuts.

This was a person. He wanted to learn magic.

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

This was a person. She always had gum.

This was a person. He had extensions. He was left-handed.

This was a person. He loved James Bond movies.

This was a person. He was good to people.

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

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

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

This was a person. He was an expert barbecuer.

This was a person. He wanted to learn magic.

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 grew up on a farm. She got thrown off of a golf course.

This was a person. She spent a lot of time with old people. She was convinced he was color blind.

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

This was a person. She was allergic to peanuts.

This was a person. She was sleeping with her ex.

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

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

This was a person. She was a crossword whiz.

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

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

This was a person. He went to church.

This was a person. He was a scout leader.

This was a person. He was a crossword whiz. He loved to fish.

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

This was a person. She never drank coffee. She was good at job interviews.

This was a person. She always bought flowers for her desk.

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

This was a person. He was a vegetarian. He was a glassblower.

This was a person. He was a dog person.

This was a person. She just had her car stereo repaired.

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

This was a person. She was a historian.

This was a person. He was 4 days sober.

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

This was a person. He was sporty.

This was a person. He had VD.

This was a person. She was a glassblower.

This was a person. She loved pot.

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

This was a person. She was left-handed.

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

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

This was a person. She survived cancer.

This was a person. She collected figurines.

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

This was a person. He finished reading all of the works of Homer.

This was a person. She could fall asleep anywhere. She was the richest of her friends.

This was a person. He was a hoarder. He always had gum.

This was a person. She was living with her sister.

This was a person. She loved Elvis.

This was a person. She was polite to salesmen.

This was a person. She was rough and tumble.

This was a person. She was a vegetarian.

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

This was a person. He never drank coffee. He could play cricket.

This was a person. She played World of Warcraft She was obsessed with sitcoms.

This was a person. He ate a lot of hot dogs. He had crazy hair colors.

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

This was a person. She had VD.

This was a person. He loved oreos.

This was a person. She threw a lot of parties. She never drank coffee.

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

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

This was a person. He was polite to salesmen.

This was a person. He was a teacher.

This was a person. She slept around.

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

This was a person. She loved to make out.

This was a person. She was a cat person.

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

This was a person. She helped strangers.

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

This was a person. She taught guitar.

This was a person. He had a gun. He was a cat person.

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

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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