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 was kind of an awesome lover.

This was a person. She was kind of an awesome lover.

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

This was a person. He played chess.

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

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

This was a person. He was a secret Buddahist.

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 could play cricket.

This was a person. She was a scout leader.

This was a person. She picked up litter. She had a lot of shoes.

This was a person. He lived on breakfast bars.

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

This was a person. She wore earphones all the time.

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

This was a person. He ate a lot of fish. He had long fingernails.

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

This was a person. She was a historian.

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

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days. He always bought flowers for his desk.

This was a person. She never carried cash.

This was a person. She overtipped. She helped strangers.

This was a person. She loved nachos.

This was a person. He was the richest of his friends. He wrote for the newspaper.

This was a person. He had VD. He was a plumber.

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

This was a person. He was homophobic.

This was a person. He has two living parents. He only ever had sex with one person.

This was a person. He snored.

This was a person. He was a cat person.

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

This was a person. He scalped tickets

This was a person. She was 4 days sober. She had a personal injury lawsuit working its way through the courts.

This was a person. She was a plumber.

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

This was a person. He constantly wore sunglasses.

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

This was a person. He loved to make out. He had a bunch of tattoos.

This was a person. He was polite to telemarketers.

This was a person. He loved oreos.

This was a person. He always wore a hat.

This was a person. She slept around. She played World of Warcraft

This was a person. She survived cancer.

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

This was a person. He loved nachos. He was a good dancer.

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

This was a person. She survived cancer. She got thrown off of a golf course.

This was a person. He was a good dancer. He overtipped.

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

This was a person. He could play trumpet. He was a good dancer.

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

This was a person. He was a tailor.

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

This was a person. He once robbed a bank.

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

This was a person. She was allergic to peanuts.

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

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

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

This was a person. She was afraid of flying.

This was a person. She was sort of selfish in bed. She could always get tickets.

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

This was a person. She didn't get along with animals.

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

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

This was a person. She spent a lot of time with old people. She had a tiny wine collection.

This was a person. She was a wedding photographer.

This was a person. She made scrapbooks.

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

This was a person. She was rebuilding an engine. She never carried cash.

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

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

This was a person. He was a DJ.

This was a person. She was sort of selfish in bed. She was rebuilding an engine.

This was a person. He snored.

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

This was a person. He was an expert barbecuer.

This was a person. She loved pot. She had an unfortunate nickname.

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

This was a person. He was a virgin.

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

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

This was a person. He played piano.

This was a person. She sang at parties.

This was a person. He was working his way through all of the shows on Netflix.

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

This was a person. He loved cigarettes.

This was a person. She did open mike.

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

This was a person. She was a secret Buddahist. She was a wedding photographer.

This was a person. She was kind of an awesome lover. She was a historian.

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

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

This was a person. He was rough and tumble.

This was a person. He was rough and tumble.

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

This was a person. She never drank coffee.

This was a person. He was a hoarder.

This was a person. He could play trumpet. He survived cancer.

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

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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