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 plays fantasy football. She was balding.

This was a person. He was a tailor.

This was a person. She could play banjo. She was very careful about conserving gasoline.

This was a person. He could always get tickets.

This was a person. He always brought lunch.

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

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

This was a person. He did not own a fridge.

This was a person. He had VD.

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 was afraid of the water.

This was a person. She loved nachos.

This was a person. He brought great food to social gatherings. He prefered bread without crusts.

This was a person. She had a hangover yesterday.

This was a person. He was cockeyed.

This was a person. She helped people.

This was a person. He can't watch the end of T2 without crying He never raised hisvoice.

This was a person. He loved nachos.

This was a person. He was a skilled woodcarver.

This was a person. She was a hoarder.

This was a person. He has two living parents.

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

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

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

This was a person. He never carried cash.

This was a person. She was a dog person. She chewed gum constantly.

This was a person. She talked during movies.

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

This was a person. She was a hoarder. She had extensions.

This was a person. He played soccer every weekend.

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

This was a person. He could play banjo.

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

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

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

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

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

This was a person. She was a cat person. She was allergic to peanuts.

This was a person. He had an awesome home theatre.

This was a person. She helped people.

This was a person. He was a dog person.

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

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

This was a person. She could always get tickets.

This was a person. He was a good dancer.

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

This was a person. She loved to make out.

This was a person. He was gluten intolerant.

This was a person. She chewed gum constantly.

This was a person. He was a hoarder. He survived cancer.

This was a person. He was rebuilding an engine.

This was a person. She had a podcast.

This was a person. She was afraid of heights. She talked during movies.

This was a person. She wore a lot of jewelry. She did not sleep with a pillow.

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

This was a person. She had long fingernails.

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

This was a person. She never drank coffee.

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

This was a person. She collected figurines. She was a poet.

This was a person. She loved to fish.

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

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

This was a person. She had an awesome home theatre.

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

This was a person. She has two living parents.

This was a person. He led the choir. He chewed nicotine gum.

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

This was a person. He never ate breakfast. He was polite to salesmen.

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

This was a person. She always brought lunch.

This was a person. She talked during movies.

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

This was a person. He knew how to get free satelittle television. He spent a lot of time with old people.

This was a person. He could play banjo.

This was a person. He went to church.

This was a person. He watched a lot of sports on TV, but never played them himself. He brought great food to social gatherings.

This was a person. She was divorced.

This was a person. He wore a lot of hats. He was an expert barbecuer.

This was a person. She threw a lot of parties. She was polite to telemarketers.

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

This was a person. He chewed nicotine gum.

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

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

This was a person. He ate a lot of chinese food. He loved chocolate.

This was a person. She has four overdue books. She chewed nicotine gum.

This was a person. He always wore a hat. He was left-handed.

This was a person. He sang at parties. He made scrapbooks.

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

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

This was a person. He was gluten intolerant.

This was a person. She was gluten intolerant. She was a good dancer.

This was a person. She had VD.

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

This was a person. He had a podcast. He was lactose intolerant.

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

This was a person. She sang.

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

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

This was a person. He wore bow ties.

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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