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 had braces on her teeth.

This was a person. She was a street vendor. She was afraid of heights.

This was a person. She made pie. She was a dog person.

This was a person. He loved fine dining.

This was a person. He helped strangers. He was diabetic.

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

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

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

This was a person. She loved Elvis.

This was a person. He could play cricket.

This was a person. She was thrifty.

This was a person. He was the unofficial relationship guru among friends.

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

This was a person. He always had gum.

This was a person. She loved cigarettes. She was left-handed.

This was a person. He didn't have a family.

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

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

This was a person. He has two living parents.

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

This was a person. He had crazy hair colors.

This was a person. She called in sick to work 9 times last month and was written up at work. She was a teacher.

This was a person. She was a poet. She couldn't grow a mustache.

This was a person. He helped people. He was divorced.

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

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

This was a person. He played World of Warcraft

This was a person. She was 4 days sober. She was a translator.

This was a person. He looked like a cartoon.

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

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

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

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

This was a person. She plays fantasy football. She spent a lot of time with old people.

This was a person. He was a crossword whiz.

This was a person. She was learning to use CAD software. She was always in a hurry.

This was a person. He was a glassblower.

This was a person. He was a DJ. He had braces on his teeth.

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

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

This was a person. She had a hangover yesterday. She got a terrible haircut a few days ago and shaved her head to escape from it.

This was a person. She survived cancer.

This was a person. He can't watch the end of T2 without crying

This was a person. She made scrapbooks.

This was a person. She took a lot of photos. She chewed gum constantly.

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

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

This was a person. She helped people.

This was a person. He survived cancer.

This was a person. She helped strangers.

This was a person. She loved fine dining. She was a scout leader.

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

This was a person. He was a hoarder.

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

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

This was a person. He was a virgin.

This was a person. He tutored kids.

This was a person. He had a hangover yesterday.

This was a person. She was sporty.

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

This was a person. She was good to people. She had a sailboat as a teen.

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

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

This was a person. He made pie.

This was a person. She was always in a hurry. She had braces on her teeth.

This was a person. He only ever had sex with one person. He was working his way through all of the shows on Netflix.

This was a person. He never ate breakfast.

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

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

This was a person. He was a translator.

This was a person. She went to the horseraces. She smoked pot at music festivals.

This was a person. He had crazy hair colors.

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

This was a person. She wrote for the newspaper. She could juggle.

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

This was a person. He loved to make out.

This was a person. He loved oreos.

This was a person. He did open mike.

This was a person. She wanted to learn magic.

This was a person. She was a dog person. She had a bunch of cameras.

This was a person. He collected figurines.

This was a person. He was cockeyed.

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

This was a person. He played a lot of social card games. He was an expert barbecuer.

This was a person. She wore bow ties. She loved rollerblading.

This was a person. He occasionally shop lifted.

This was a person. She was a cheapskate. She has four overdue books.

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

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

This was a person. He ate a lot of raisins. He had an unfortunate nickname.

This was a person. She chewed nicotine gum.

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

This was a person. He was a pharmacist.

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

This was a person. She played soccer every weekend.

This was a person. He chewed nicotine gum.

This was a person. He talked during movies.

This was a person. She didn't have a family.

This was a person. He loved chocolate.

This was a person. She played soccer every weekend. She had a bunch of tattoos.

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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