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 kind of an awesome lover. He was a DJ.

This was a person. He always bought flowers for his desk.

This was a person. He was rebuilding an engine.

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

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

This was a person. She has a suit at the cleaners. She played piano.

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

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

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

This was a person. She did open mike.

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

This was a person. He was an expert barbecuer.

This was a person. He was a cheapskate.

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

This was a person. He was a teacher.

This was a person. She was a good dancer.

This was a person. She talked during movies. She taught guitar.

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

This was a person. She had a personal injury lawsuit working its way through the courts.

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

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

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

This was a person. He was a street vendor.

This was a person. She never carried cash.

This was a person. He had a gun.

This was a person. He was afraid of flying.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

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

This was a person. She was a DJ.

This was a person. She could play harmonica.

This was a person. She played a lot of social card games. She spends a lot of time watching tennis.

This was a person. She was a street vendor.

This was a person. He had a personal injury lawsuit working its way through the courts.

This was a person. He loved Elvis.

This was a person. She loved wine.

This was a person. He was a teacher. He played soccer every weekend.

This was a person. He loved Elvis.

This was a person. She had VD.

This was a person. He was a scout leader. He made scrapbooks.

This was a person. He was a dog person.

This was a person. He always bought flowers for his desk. He did open mike.

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

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

This was a person. He was a street vendor.

This was a person. He was a vegetarian. He could play banjo.

This was a person. She loved chocolate.

This was a person. He collected figurines.

This was a person. He could play harmonica.

This was a person. She always bought flowers for her desk.

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

This was a person. He was a pharmacist. He was a DJ.

This was a person. She was an awful driver. She knew a lot of cops.

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. She was thrifty.

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

This was a person. He was a translator.

This was a person. He was a pharmacist. He just had his car stereo repaired.

This was a person. He was a skilled woodcarver.

This was a person. He had a gun.

This was a person. He could always get tickets.

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

This was a person. He was a good dancer.

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. She could always get tickets. She was rebuilding an engine.

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

This was a person. He sang.

This was a person. He was a skilled woodcarver.

This was a person. He always bought flowers for his desk. He was a tailor.

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

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

This was a person. She had bonsai trees.

This was a person. She abused cars.

This was a person. He had a hangover yesterday.

This was a person. He could fix anything. He did not sleep with a pillow.

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

This was a person. He helped people.

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

This was a person. She made scrapbooks.

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

This was a person. She could play harmonica.

This was a person. He was cockeyed.

This was a person. He has a suit at the cleaners.

This was a person. He was afraid of flying.

This was a person. She was lactose intolerant.

This was a person. She was good to people.

This was a person. She had crazy hair colors.

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

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

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

This was a person. He was a dog person.

This was a person. She was living with her sister.

This was a person. She was a DJ.

This was a person. He always brought reusable bags into the store.

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

This was a person. He was polite to telemarketers.

This was a person. She was living with her sister.

This was a person. She was a tailor.

This was a person. He could always get tickets.

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

This was a person. She always made the mashed potatoes at family get-togethers.

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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