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 had VD.

This was a person. She loved wine.

This was a person. He wore bow ties.

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

This was a person. She had long fingernails.

This was a person. She has two living parents. She got a terrible haircut a few days ago and shaved her head to escape from it.

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

This was a person. She had a gun.

This was a person. She excelled at woodworking. She helped the widow next door.

This was a person. She had crazy hair colors.

This was a person. He once robbed a bank. He was really good at math.

This was a person. She was allergic to peanuts.

This was a person. She prefered bread without crusts. She was a hoarder.

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

This was a person. She kept to herself mostly

This was a person. He just had the bandages removed from plastic surgery.

This was a person. She was allergic to peanuts. She loved cigarettes.

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

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

This was a person. He was a virgin.

This was a person. He was a street vendor.

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

This was a person. She was a mason.

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

This was a person. He went to the horseraces. He abused cars.

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

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

This was a person. He was training to run a marathon. He was playing nine games of Words with Friends on his phone.

This was a person. She just had the bandages removed from plastic surgery.

This was a person. He was a virgin. He was learning to use CAD software.

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

This was a person. She loved nachos.

This was a person. He sang.

This was a person. He was a scout leader.

This was a person. He played soccer every weekend.

This was a person. She could fix anything.

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

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

This was a person. She never carried cash.

This was a person. He wore Spandex. He loved fine dining.

This was a person. She played a lot of social card games. She had a sexy phone voice.

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

This was a person. She constantly wore sunglasses.

This was a person. He always wore a hat.

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

This was a person. He had a podcast. He kept to himself mostly

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

This was a person. He was a wedding photographer.

This was a person. He had a podcast.

This was a person. He was a secret Buddahist.

This was a person. He had a baby boy.

This was a person. She loved nachos.

This was a person. He just had his car stereo repaired. He was afraid of the water.

This was a person. He was good to people. He loved museums.

This was a person. He always brought lunch.

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

This was a person. He loved to fish.

This was a person. She kept to herself mostly

This was a person. He spends a lot of time watching tennis. He once robbed a bank.

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

This was a person. He finished reading all of the works of Homer. He was playing nine games of Words with Friends on his phone.

This was a person. She was a glassblower. She prefered bread without crusts.

This was a person. He was thrifty.

This was a person. She was a scout leader.

This was a person. She has four overdue books.

This was a person. He prefered bread without crusts. He was polite to salesmen.

This was a person. He was a historian.

This was a person. She loved Elvis. She taught guitar.

This was a person. He wore earphones all the time. He took a lot of photos.

This was a person. He was an awful driver.

This was a person. She was a virgin.

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

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

This was a person. She loved fine dining. She plays fantasy football.

This was a person. She sang at parties. She loved fine dining.

This was a person. She just had her car stereo repaired. She had a lot of music on vinyl.

This was a person. He had long fingernails.

This was a person. He played World of Warcraft

This was a person. He was a crossword whiz.

This was a person. She wanted to learn magic.

This was a person. He taught guitar.

This was a person. She sang. She wore a lot of hats.

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

This was a person. She went to church.

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

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

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

This was a person. She could fix anything. She watched a lot of sports on TV, but never played them herself.

This was a person. She had a lot of shoes. She had a sexy phone voice.

This was a person. He was living with his sister.

This was a person. He kept to himself mostly He sang.

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

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

This was a person. He always wore a hat. He just had the bandages removed from plastic surgery.

This was a person. She was a hoarder.

This was a person. He was cockeyed.

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

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

This was a person. He prefered bread without crusts. He loved wine.

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

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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