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 a bunch of cameras.

This was a person. He went to the horseraces.

This was a person. She had a green thumb. She played guitar on the streets for money.

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

This was a person. He was allergic to peanuts.

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

This was a person. He taught guitar.

This was a person. She loved to fish.

This was a person. He loved fine dining.

This was a person. He could always get tickets.

This was a person. She had a hangover yesterday.

This was a person. He kept to himself mostly He ate a lot of kale.

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

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

This was a person. He always made the mashed potatoes at family get-togethers. He was sort of selfish in bed.

This was a person. She kept to herself mostly

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

This was a person. She was a wedding photographer.

This was a person. He was living with his sister.

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

This was a person. She plays fantasy football.

This was a person. She was a dog person.

This was a person. She never ate breakfast. She was lactose intolerant.

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

This was a person. She looked like a cartoon.

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

This was a person. He was a teacher.

This was a person. He was good to people. He had a tiny wine collection.

This was a person. She plays fantasy football.

This was a person. She wore a lot of hats. She picked up litter.

This was a person. She helped strangers.

This was a person. She was the unofficial relationship guru among friends. She always had gum.

This was a person. She had long fingernails.

This was a person. He had crazy hair colors. He spends a lot of time watching tennis.

This was a person. He made pie.

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

This was a person. She was afraid of heights.

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

This was a person. He was an awful driver. He was a skilled woodcarver.

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

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

This was a person. She had a baby boy.

This was a person. She can't watch the end of T2 without crying She did not sleep with a pillow.

This was a person. She has two living parents.

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

This was a person. She went to church.

This was a person. She could fix anything. She loved to fish.

This was a person. He was gluten intolerant.

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

This was a person. He had a gun. He always brought lunch.

This was a person. She ate a lot of 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 had a baby boy.

This was a person. He lived on breakfast bars.

This was a person. He was a translator. He did open mike.

This was a person. He was a wedding photographer.

This was a person. He was a crossword whiz.

This was a person. She was good at job interviews. She always brought reusable bags into the store.

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

This was a person. She spent a lot of time with old people. She couldn't swim.

This was a person. He helped strangers.

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

This was a person. She brought great food to social gatherings. She ate a lot of fish.

This was a person. She wore bow ties.

This was a person. She was allergic to peanuts.

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

This was a person. She was a pharmacist. She has a suit at the cleaners.

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

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

This was a person. She played World of Warcraft

This was a person. He was the richest of his friends. He kept to himself mostly

This was a person. He went to church.

This was a person. He was divorced. He loved oreos.

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

This was a person. He had a hangover yesterday.

This was a person. He abused cars. He was a loner.

This was a person. He was a drunk.

This was a person. He was a hoarder.

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

This was a person. He always brought lunch.

This was a person. He slept around.

This was a person. She loved fine dining. She occasionally shop lifted.

This was a person. She was a drunk.

This was a person. He was a hoarder.

This was a person. He loved nachos.

This was a person. She had a hangover yesterday.

This was a person. She sang.

This was a person. He survived cancer.

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

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

This was a person. He was a street vendor.

This was a person. He could play trumpet. He was polite to salesmen.

This was a person. She was a tailor.

This was a person. He called in sick to work 9 times last month and was written up at work. He always bought flowers for his desk.

This was a person. She was a translator.

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

This was a person. She was cockeyed. She plays fantasy football.

This was a person. She was sleeping with her ex.

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

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

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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