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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 has two living parents. She  collected figurines. This was a person. She couldn't grow a mustache. This was a person. He  had a hangover yesterday. This was a person. He was living with his sister. This was a person. He was lactose intolerant. This was a person. She lived on breakfast bars. She had a bunch of cameras. This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. He never ate breakfast. This was a person. He was sporty. He wore bow ties. This was a person. He was 4 days sober. This was a person. He wore a lot of hats.  This was a person. She loved cigarettes. She was a hoarder. This was a person. She spent a lot of time with old people. This was a person. She  collected figurines. She  was kind of an awesome lover. This was a person. She lived on breakfast bars. She ate a lot of raisins. This was a person. She chewed gum constantly. This was a person. She was a scout leader.  She loved MASH. This was a person. She prefered bread without crusts. She was polite to salesmen. This was a person. She never carried cash. She was a cat person. This was a person. He went to the horseraces. This was a person. He occasionally shop lifted. This was a person. He  only ever had sex with one person. He was afraid of heights. This was a person. She  had VD. This was a person. She had a sexy phone voice. This was a person. He had a bunch of tattoos. This was a person. She was the richest of  her friends. She was gluten intolerant. This was a person. He was rough and tumble. He wore a lot of hats.  This was a person. She could play cricket. This was a person. She was working  her  way through all of the shows on Netflix. She just had  her car stereo repaired. This was a person. She  was a mason. This was a person. She was very careful about conserving gasoline. She led the choir. This was a person. He wore Spandex. This was a person. He has a suit at the cleaners. He was a skilled woodcarver. This was a person. She always had a clean car. This was a person. She was a vegetarian. She never ate breakfast. This was a person. She was the unofficial relationship guru among  her friends. She grew up on a farm.  This was a person. He was always in a hurry. This was a person. He wore a lot of hats.  This was a person. He didn't have a family. This was a person. He had a gun. This was a person. She had just paid a crapload of money to get   her teeth fixed. This was a person. She never drank coffee. This was a person. She had a podcast. This was a person. She ate a lot of kale. She always brought reusable bags into the store. This was a person. He ate a lot of raisins. This was a person. She tutored kids. This was a person. He was kind of addicted to ebay. This was a person. She wore bow ties. This was a person. He was polite to salesmen. He did not own a fridge. This was a person. She was gluten intolerant. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He was a glassblower. He loved pot. This was a person. She wore earphones all the time. This was a person. He tutored kids. This was a person. He  finished reading all of the works of Homer. This was a person. She ate a lot of kale. This was a person. He played World of Warcraft This was a person. He had braces on  his  teeth. He watched a lot of sports on TV, but never played them  himself. This was a person. He  was a historian. He was afraid of heights. This was a person. She was a cat person. This was a person. She ate a lot of kale. This was a person. He took a lot of photos. This was a person. He didn't get along with animals. This was a person. He  called in sick to work 9 times last month and was written up at work. He  was a poet. This was a person. He was homophobic. This was a person. She kept to herself mostly She could play banjo. This was a person. She wore a lot of hats.  She occasionally shop lifted. This was a person. She  was training to run a marathon. This was a person. He was lactose intolerant. He was polite to salesmen. This was a person. She was a Mac evangelist. She did not sleep with a pillow. This was a person. She was very careful about conserving gasoline. This was a person. She prefered bread without crusts. This was a person. She loved pot. This was a person. She could fall asleep anywhere. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. He had a baby boy. This was a person. He tutored kids. This was a person. She  was a street vendor. She  went to church. This was a person. He played piano. He was a glassblower. This was a person. He plays fantasy football. He once robbed a bank. This was a person. He could play cricket. This was a person. He  collected figurines. This was a person. She always brought reusable bags into the store. This was a person. She was kind of addicted to ebay. This was a person. He loved fine dining. This was a person. He could play harmonica. He had crazy hair colors. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He always had gum. This was a person. She  had VD. This was a person. He was very careful about conserving gasoline. He slept around. This was a person. He ate a lot of fiber. He survived cancer. This was a person. She was a trivia master. This was a person. She can't watch the end of T2 without crying This was a person. She excelled at woodworking. She was really good at math. This was a person. He was a scout leader.  This was a person. She ate a lot of fiber. This was a person. She ate a lot of chinese food. This was a person. He has four overdue books.  This was a person. He didn't get along with animals. This was a person. He was an expert barbecuer.

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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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