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 was a tailor.

This was a person. He never carried cash.

This was a person. He ate a lot of fish. He loved cigarettes.

This was a person. He was a hoarder.

This was a person. He had a podcast.

This was a person. He abused cars.

This was a person. He always brought lunch. He loved oreos.

This was a person. He never ate breakfast.

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

This was a person. She loved oreos.

This was a person. She was a drunk.

This was a person. He wrote for the newspaper. He had bonsai trees.

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

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

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

This was a person. She had a podcast.

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

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

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

This was a person. She played a lot of social card games. She once robbed a bank.

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

This was a person. He was a vegetarian. He prefered bread without crusts.

This was a person. He was a cat person.

This was a person. He knew a lot of cops. He could fall asleep anywhere.

This was a person. She picked up litter.

This was a person. He was a poet. He made his own beer and was kind of stingy with it.

This was a person. He could play trumpet.

This was a person. He occasionally shop lifted.

This was a person. He was afraid of flying.

This was a person. He was a street vendor. He went to church.

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 homophobic.

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

This was a person. She was a pharmacist.

This was a person. He had an unfortunate nickname.

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

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

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

This was a person. She made her own beer and was kind of stingy with it. She never raised hervoice.

This was a person. She was an awful driver.

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

This was a person. She loved oreos.

This was a person. She was a dog person.

This was a person. She was cockeyed.

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

This was a person. He was a glassblower.

This was a person. He was lactose intolerant.

This was a person. She was a DJ.

This was a person. He excelled at woodworking.

This was a person. He played World of Warcraft

This was a person. He was training to run a marathon.

This was a person. She once robbed a bank.

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

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

This was a person. She was a drunk. She could fix anything.

This was a person. He was rough and tumble.

This was a person. She was a vegetarian.

This was a person. He was a historian.

This was a person. He once robbed a bank. He loved rollerblading.

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

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

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

This was a person. She was a drunk.

This was a person. He had a hangover yesterday.

This was a person. He was a dog person.

This was a person. He was an expert barbecuer. He helped the widow next door.

This was a person. He was a drunk.

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

This was a person. She was allergic to peanuts.

This was a person. She was a historian.

This was a person. He was a crossword whiz.

This was a person. He had a twin.

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

This was a person. He was homophobic. He never drank coffee.

This was a person. He always brought lunch.

This was a person. She was a scout leader. She was convinced he was color blind.

This was a person. He was thrifty.

This was a person. He was afraid of heights.

This was a person. He chewed nicotine gum.

This was a person. She was a glassblower.

This was a person. He was a cheapskate.

This was a person. He constantly wore sunglasses.

This was a person. He had braces on his teeth. He never raised hisvoice.

This was a person. He was an awful driver.

This was a person. He was rebuilding an engine.

This was a person. He had extensions.

This was a person. He was a teacher.

This was a person. She excelled at woodworking.

This was a person. She abused cars. She loved MASH.

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

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

This was a person. He has a suit at the cleaners. He wore a lot of jewelry.

This was a person. He was a wedding photographer.

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

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

This was a person. She played chess. She was an expert barbecuer.

This was a person. He went to the horseraces.

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

This was a person. He always wore a hat.

This was a person. He collected figurines.

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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