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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 ate a lot of hot dogs. This was a person. She was divorced. This was a person. He could juggle. He was a hoarder. This was a person. She had just paid a crapload of money to get    teeth fixed. She had lice. This was a person. He didn't get along with animals. He abused cars. This was a person. He had a twin. This was a person. He loved James Bond movies. This was a person. He  was afraid of flying. This was a person. She taught guitar. This was a person. He excelled at woodworking. This was a person. He had an awesome home theatre. This was a person. She kept to herself mostly This was a person. He had extensions. This was a person. He tutored kids. This was a person. He played piano. This was a person. He ate a lot of raisins. He was very careful about conserving gasoline. This was a person. She was a scout leader.  This was a person. She never drank coffee. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. This was a person. She looked like a cartoon. This was a person. She knew a lot of cops. This was a person. She ate a lot of raisins. She was very good at cleaning. This was a person. He  was a teacher. This was a person. She once robbed a bank. She had a tiny wine collection. This was a person. She had an awesome home theatre. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He always brought reusable bags into the store. This was a person. She brought great food to social gatherings. She had a bunch of cameras. This was a person. He spent a lot of time with old people. This was a person. She ate a lot of fish. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. She  was a plumber. This was a person. She once robbed a bank. This was a person. She had a lot of shoes. This was a person. He  always bought flowers for  his  desk. This was a person. He always had gum. This was a person. She never raised  hervoice. This was a person. She wore a lot of hats.  This was a person. She chewed nicotine gum. This was a person. He grew up on a farm.  He overtipped. This was a person. She had a baby boy. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. This was a person. He always had gum. This was a person. She knew a lot of cops. She always brought lunch. This was a person. She  had a personal injury lawsuit working its way through the courts. She made  her  own beer and was kind of stingy with it. This was a person. He loved nachos. He was very careful about conserving gasoline. This was a person. She occasionally shop lifted. This was a person. He  collected figurines. This was a person. She had a twin. This was a person. She loved fine dining. She knew how to get free satelittle television. This was a person. He sang at parties. He played World of Warcraft This was a person. She loved wine. This was a person. He knew a lot of cops. This was a person. He  was a street vendor. This was a person. He was the richest of  his friends. He was thrifty. This was a person. He did not sleep with a pillow. This was a person. He was rough and tumble. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. He  did open mike. This was a person. He  was a mason. This was a person. He  finished reading all of the works of Homer. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. She helped strangers. This was a person. She plays fantasy football. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He had a lot of shoes. This was a person. She wrote for the newspaper. This was a person. He didn't have a family. This was a person. She had a lot of shoes. This was a person. She couldn't grow a mustache. This was a person. She loved wine. This was a person. She abused cars. This was a person. She ate a lot of hot dogs. This was a person. She has four overdue books.  She was an expert barbecuer. This was a person. He  was sleeping with  his  ex. This was a person. She spends a lot of time watching tennis. This was a person. He had a podcast. This was a person. He  was playing nine games of Words with Friends on  his  phone. He  was a translator. This was a person. He  was a DJ. This was a person. He had braces on  his  teeth. This was a person. He wanted to learn magic. This was a person. He did not own a fridge. This was a person. He taught guitar. This was a person. She taught guitar. This was a person. He loved fine dining. He played World of Warcraft This was a person. He could juggle. He loved wine. This was a person. She was a Mac evangelist. This was a person. She ate the food at convenience stores. This was a person. She played World of Warcraft This was a person. She snored. This was a person. She wore bow ties. This was a person. He overtipped. This was a person. He had a baby boy. He  was a teacher. This was a person. She had braces on  her  teeth. This was a person. She had a gun. She threw a lot of parties. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. He loved wine. He slept around. This was a person. He made pie. This was a person. He looked like a cartoon. This was a person. She kept to herself mostly She did not own a fridge. This was a person. He looked like a cartoon.

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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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