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 was left-handed.

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

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

This was a person. He looked like a cartoon. He grew up on a farm.

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

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

This was a person. He was a cheapskate. He plays fantasy football.

This was a person. He was a skilled woodcarver.

This was a person. He was allergic to peanuts.

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

This was a person. He was rough and tumble.

This was a person. She sang at parties.

This was a person. She never ate breakfast. She could play banjo.

This was a person. She slept around. She loved fine dining.

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

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

This was a person. She survived cancer.

This was a person. He was a cat person.

This was a person. She was a poet.

This was a person. He made scrapbooks.

This was a person. He always had gum. He plays fantasy football.

This was a person. She loved cigarettes.

This was a person. She snored.

This was a person. She was allergic to peanuts. She loved pot.

This was a person. She could always get tickets.

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

This was a person. She was a vegetarian.

This was a person. He was a translator. He could always get tickets.

This was a person. She was a pharmacist.

This was a person. She was rough and tumble.

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

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

This was a person. She wore Spandex.

This was a person. She plays fantasy football.

This was a person. She went to church.

This was a person. He could play trumpet.

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

This was a person. She loved to fish.

This was a person. She overtipped.

This was a person. She survived cancer.

This was a person. He looked like a cartoon.

This was a person. She made pie. She had tropical fish.

This was a person. He could juggle.

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

This was a person. She was a trivia master.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors.

This was a person. She was gluten intolerant.

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

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

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

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

This was a person. He sang. He had crazy hair colors.

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

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

This was a person. He collected figurines. He was a teacher.

This was a person. She knew a lot of cops.

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

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

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

This was a person. He loved to fish.

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

This was a person. He loved chocolate.

This was a person. He had a twin.

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

This was a person. She could always get tickets.

This was a person. She was a pharmacist.

This was a person. He occasionally shop lifted.

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

This was a person. She was a translator.

This was a person. She prefered bread without crusts.

This was a person. She chewed gum constantly.

This was a person. He was a secret Buddahist.

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

This was a person. He loved James Bond movies. He was a skilled woodcarver.

This was a person. He did open mike.

This was a person. He knew a lot of cops. He was divorced.

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

This was a person. She was left-handed.

This was a person. She wore Spandex.

This was a person. She was a hoarder. She was a cheapskate.

This was a person. He tutored kids.

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

This was a person. She chewed gum constantly.

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

This was a person. He was gluten intolerant.

This was a person. She was a historian.

This was a person. She never drank coffee.

This was a person. She went to the horseraces.

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

This was a person. She went to the horseraces.

This was a person. She could play cricket. She was a hoarder.

This was a person. She picked up litter.

This was a person. He was a trivia master.

This was a person. She sang at parties.

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

This was a person. She abused cars. She was diabetic.

This was a person. She could always get tickets.

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

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

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

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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