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 had a personal injury lawsuit working its way through the courts.

This was a person. She always had a clean car. She had an unfortunate nickname.

This was a person. She taught guitar. She never ate breakfast.

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

This was a person. She picked up litter.

This was a person. She was a good dancer.

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

This was a person. He had tropical fish.

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

This was a person. She made pie.

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

This was a person. She chewed nicotine gum.

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

This was a person. He had a hangover yesterday. He was a translator.

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

This was a person. He has a suit at the cleaners. He had braces on his teeth.

This was a person. He was a virgin.

This was a person. He was a tailor.

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

This was a person. He has four overdue books.

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

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

This was a person. He had an unfortunate nickname.

This was a person. She always wore a hat. She was a good dancer.

This was a person. She wore Spandex.

This was a person. She occasionally shop lifted. She helped the widow next door.

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

This was a person. She had long fingernails.

This was a person. She loved cigarettes.

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

This was a person. He had a baby boy.

This was a person. He was a drunk.

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

This was a person. She was an awful driver.

This was a person. He was cockeyed.

This was a person. She was afraid of flying.

This was a person. She played chess. She loved rollerblading.

This was a person. He excelled at woodworking.

This was a person. She was a scout leader.

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

This was a person. He prefered bread without crusts.

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

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

This was a person. She was a hoarder.

This was a person. She was a plumber.

This was a person. He had a lot of shoes.

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

This was a person. She has a suit at the cleaners.

This was a person. She was a virgin.

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

This was a person. She wore bow ties. She helped the widow next door.

This was a person. He loved to make out.

This was a person. She was learning to speak French. She was kind of an awesome lover.

This was a person. He could fall asleep anywhere.

This was a person. He had VD.

This was a person. He was kind of addicted to ebay.

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

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. He was a tailor. He has a suit at the cleaners.

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

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

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

This was a person. He was a crossword whiz.

This was a person. She was allergic to peanuts. She was very good at cleaning.

This was a person. She was a secret Buddahist.

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

This was a person. He was kind of addicted to ebay.

This was a person. She helped strangers.

This was a person. He just had his car stereo repaired.

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. She was an awful driver.

This was a person. He never carried cash.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it.

This was a person. She was a wedding photographer.

This was a person. He could play trumpet. He loved pot.

This was a person. She was 4 days sober.

This was a person. She had extensions. She led the choir.

This was a person. She picked up litter.

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

This was a person. She had a lot of shoes.

This was a person. He ate a lot of fish. He could play banjo.

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

This was a person. He picked up litter.

This was a person. She was a street vendor.

This was a person. She had extensions.

This was a person. She was a poet.

This was a person. She was an awful driver.

This was a person. He was polite to salesmen.

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

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

This was a person. He had a gun.

This was a person. He slept around.

This was a person. He could always get tickets.

This was a person. He played soccer every weekend. He was afraid of heights.

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

This was a person. She could juggle. She was polite to telemarketers.

This was a person. She had a podcast. She had long fingernails.

This was a person. She was a cheapskate.

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

This was a person. She sang.

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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