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 a skilled woodcarver.

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

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

This was a person. She played World of Warcraft

This was a person. He was divorced.

This was a person. She led the choir.

This was a person. She had extensions.

This was a person. He was cockeyed. He occasionally shop lifted.

This was a person. He was a hoarder.

This was a person. She plays fantasy football.

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

This was a person. She was a crossword whiz.

This was a person. He always had gum.

This was a person. He went to church.

This was a person. She was afraid of flying.

This was a person. She slept around.

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

This was a person. He was sporty.

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

This was a person. She was good at job interviews.

This was a person. He prefered bread without crusts. He ate a lot of kale.

This was a person. He sang at parties.

This was a person. He loved James Bond movies. He made pie.

This was a person. He never raised hisvoice.

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

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

This was a person. She was a secret Buddahist.

This was a person. He smoked pot at music festivals.

This was a person. She played soccer every weekend.

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

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

This was a person. She was gluten intolerant. She was a hoarder.

This was a person. She once robbed a bank.

This was a person. She was afraid of the water.

This was a person. He occasionally shop lifted. He has a music afficianado.

This was a person. He could fix anything.

This was a person. She always had gum.

This was a person. She looked like a cartoon.

This was a person. She had a baby boy.

This was a person. She was sporty.

This was a person. She loved James Bond movies.

This was a person. She always wore a hat. She tutored kids.

This was a person. He went to the horseraces. He spends a lot of time watching tennis.

This was a person. He abused cars.

This was a person. She was rough and tumble. She was cockeyed.

This was a person. She was sporty.

This was a person. He was good to people.

This was a person. He wanted to learn magic.

This was a person. He ate the food at convenience stores. He spent a lot of time with old people.

This was a person. He had braces on his teeth. He had a lot of Beatles records.

This was a person. He took a lot of photos.

This was a person. She wore Spandex.

This was a person. He snored.

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

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

This was a person. He finished reading all of the works of Homer. He always bought flowers for his desk.

This was a person. She smoked pot at music festivals.

This was a person. She was rough and tumble.

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

This was a person. He had an awesome home theatre. He was the richest of his friends.

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

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

This was a person. She was a tailor.

This was a person. She was afraid of flying. She was a trivia master.

This was a person. She was working her way through all of the shows on Netflix. She played piano.

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

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

This was a person. She never ate breakfast.

This was a person. He was polite to telemarketers.

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

This was a person. She was afraid of heights. She was kind of addicted to ebay.

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

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

This was a person. She was a dog person.

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

This was a person. He taught guitar. He wrote for the newspaper.

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

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

This was a person. He knew how to get free satelittle television. He played guitar on the streets for money.

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

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 a baby boy. He only ever had sex with one person.

This was a person. She played piano.

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

This was a person. He played chess.

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

This was a person. He was afraid of flying.

This was a person. He loved Elvis.

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

This was a person. She was good to people. She wore a lot of black clothing.

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

This was a person. She played soccer every weekend.

This was a person. He was cockeyed.

This was a person. He smoked pot at music festivals.

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

This was a person. She was a scout leader.

This was a person. She survived cancer. She plays fantasy football.

This was a person. He slept around.

This was a person. He was a virgin.

This was a person. She ate a lot of fish. She could play cricket.

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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