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 wore a lot of hats.

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

This was a person. He had bonsai trees.

This was a person. He loved wine. He was sporty.

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

This was a person. He had a baby boy.

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

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

This was a person. He wrote for the newspaper.

This was a person. He overtipped.

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

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

This was a person. He was sporty. He had a green thumb.

This was a person. He always bought flowers for his desk. He loved James Bond movies.

This was a person. She has four overdue books.

This was a person. He looked like a cartoon.

This was a person. He played chess.

This was a person. She wore a lot of hats. She wore bow ties.

This was a person. She wore earphones all the time. She had a lot of music on vinyl.

This was a person. He could fall asleep anywhere. He took a lot of photos.

This was a person. She was left-handed.

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

This was a person. She loved oreos.

This was a person. She always brought reusable bags into the store.

This was a person. He had a gun.

This was a person. He had a gun.

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

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

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

This was a person. She was lactose intolerant. She loved chocolate.

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

This was a person. She was polite to salesmen.

This was a person. He always brought lunch. He wanted to learn magic.

This was a person. She loved Elvis. She was the richest of her friends.

This was a person. He was sporty.

This was a person. He ate the food at convenience stores.

This was a person. She survived cancer.

This was a person. He was rebuilding an engine.

This was a person. He was cockeyed.

This was a person. She abused cars. She never answered the phone.

This was a person. He was a pharmacist.

This was a person. He loved James Bond movies.

This was a person. He was a vegetarian.

This was a person. She looked like a cartoon.

This was a person. She helped people. She was homophobic.

This was a person. She loved Elvis. She was homophobic.

This was a person. She was polite to salesmen.

This was a person. He was 4 days sober.

This was a person. She could fall asleep anywhere.

This was a person. He knew a lot of cops. He never raised hisvoice.

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

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

This was a person. She went to the horseraces.

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

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

This was a person. She kept to herself mostly

This was a person. He had a green thumb.

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

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

This was a person. She had VD.

This was a person. He had tropical fish.

This was a person. He loved nachos.

This was a person. She scalped tickets

This was a person. He had a personal injury lawsuit working its way through the courts. He was an awful driver.

This was a person. She was rebuilding an engine.

This was a person. She had extensions.

This was a person. She chewed gum constantly. She was allergic to peanuts.

This was a person. She once robbed a bank. She helped the widow next door.

This was a person. He was a DJ. He never carried cash.

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

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

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

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

This was a person. He was rebuilding an engine.

This was a person. He slept around.

This was a person. She had a green thumb. She was going blind.

This was a person. He was a pharmacist. He was a tailor.

This was a person. He had an unfortunate nickname.

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

This was a person. He was a historian.

This was a person. He prefered bread without crusts. He was a good dancer.

This was a person. She lived on breakfast bars.

This was a person. He collected figurines.

This was a person. She could play harmonica.

This was a person. He wore earphones all the time. He never raised hisvoice.

This was a person. He scalped tickets He could fix anything.

This was a person. She was a tailor. She was rebuilding an engine.

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

This was a person. She was the richest of her friends.

This was a person. She could play trumpet.

This was a person. She had a bunch of cameras. She loved cigarettes.

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

This was a person. He was afraid of heights.

This was a person. He could play trumpet.

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

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

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

This was a person. He loved James Bond movies.

This was a person. He slept around.

This was a person. He wrote for the newspaper.

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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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