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 cheapskate.

This was a person. She sang.

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

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

This was a person. She was rebuilding an engine.

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

This was a person. She could play trumpet.

This was a person. He had tropical fish.

This was a person. He plays fantasy football.

This was a person. She loved to fish.

This was a person. She was a pharmacist.

This was a person. He helped strangers.

This was a person. He had extensions.

This was a person. He did not own a fridge. He was left-handed.

This was a person. He has four overdue books. He had lice.

This was a person. She always had gum. She got thrown off of a golf course.

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

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

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

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

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

This was a person. He was polite to salesmen.

This was a person. He had a lot of Beatles records.

This was a person. She was allergic to peanuts. She always had a clean car.

This was a person. He was a drunk.

This was a person. He was a pharmacist.

This was a person. He scalped tickets

This was a person. She was a DJ.

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

This was a person. He was a dog person.

This was a person. He chewed gum constantly.

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

This was a person. He was a street vendor.

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

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

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

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

This was a person. She led the choir.

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

This was a person. He was an expert barbecuer.

This was a person. She was a hoarder.

This was a person. He had a lot of Beatles records. He constantly wore sunglasses.

This was a person. She played World of Warcraft

This was a person. He once robbed a bank.

This was a person. She tutored kids.

This was a person. He went to the horseraces.

This was a person. She was working her way through all of the shows on Netflix. She had braces on her teeth.

This was a person. He was polite to telemarketers. He sang.

This was a person. He once robbed a bank. He loved MASH.

This was a person. She wore Spandex. She had a green thumb.

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

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

This was a person. She was a plumber.

This was a person. He wore bow ties. He couldn't swim.

This was a person. She was a good dancer.

This was a person. He led the choir.

This was a person. He was allergic to peanuts. He ate a lot of raisins.

This was a person. He always brought reusable bags into the store. He played a lot of social card games.

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

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

This was a person. He loved pot.

This was a person. She was a translator. She was afraid of heights.

This was a person. She sang.

This was a person. He loved pot.

This was a person. She had extensions. She loved fine dining.

This was a person. He was gluten intolerant.

This was a person. He never ate breakfast. He ate a lot of fiber.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. He scalped tickets He made his own beer and was kind of stingy with it.

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

This was a person. He was left-handed.

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

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

This was a person. She was rebuilding an engine.

This was a person. She was a Mac evangelist.

This was a person. He loved to make out.

This was a person. She was cockeyed.

This was a person. He was a scout leader.

This was a person. He was playing nine games of Words with Friends on his phone. He can't watch the end of T2 without crying

This was a person. He was good at job interviews. He ate a lot of raisins.

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

This was a person. She went to the horseraces.

This was a person. He has two living parents.

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

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

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

This was a person. She had VD.

This was a person. She was an expert barbecuer.

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

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

This was a person. She didn't have a family.

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

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

This was a person. He never raised hisvoice.

This was a person. She was a glassblower. She loved nachos.

This was a person. She was thrifty. She could play harmonica.

This was a person. He was left-handed.

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

This was a person. He made pie.

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

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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