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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  always bought flowers for  her  desk. She  was a mason. This was a person. She was the unofficial relationship guru among   friends. This was a person. He was polite to salesmen. This was a person. He loved to fish. This was a person. She wore Spandex. She sang at parties. This was a person. He  was a historian. He took careful notes after every meal. This was a person. She ate a lot of kale. This was a person. She was polite to salesmen. She didn't get along with animals. This was a person. She  was training to run a marathon. This was a person. She just had the bandages removed from  plastic surgery. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He made pie. This was a person. He taught guitar. This was a person. He never finished the book club book. This was a person. She  had VD. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She got out of jail two years ago and never reunited with her family. She  only ever had sex with one person. This was a person. She  collected figurines. This was a person. She sang at parties. This was a person. She  played soccer every weekend. This was a person. She wore a lot of hats.  This was a person. He  finished reading all of the works of Homer. He  was a plumber. This was a person. He did not own a fridge. He was rough and tumble. This was a person. She was a good dancer. This was a person. He led the choir. This was a person. He was a cheapskate. This was a person. He was a cat person. He had a bunch of cameras. This was a person. She played a lot of social card games.  She got thrown off of a golf course. This was a person. She led the choir. This was a person. He led the choir. He was diabetic. This was a person. She had a gun. This was a person. He did not own a fridge. He was left-handed. This was a person. She ate a lot of kale. She did not own a fridge. This was a person. He  always bought flowers for  his  desk. He was always in a hurry. This was a person. She slept around. She had just paid a crapload of money to get    teeth fixed. This was a person. He was a good dancer. This was a person. He  did open mike. This was a person. He was rough and tumble. This was a person. She was afraid of the water. This was a person. He lived on breakfast bars. This was a person. She wore earphones all the time. This was a person. He snored. He ate a lot of raisins. This was a person. She helped strangers. This was a person. She has two living parents. This was a person. He  was a DJ. He was always in a hurry. This was a person. He  was a tailor. This was a person. He always had gum. He plays fantasy football. This was a person. He was a trivia master. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She was a secret Buddahist. This was a person. He loved fine dining. This was a person. He spent a lot of time with old people. This was a person. She has four overdue books.  This was a person. She sang. She tutored kids. This was a person. She was afraid of the water. This was a person. He  was learning to use CAD software. This was a person. She was polite to telemarketers. She had an unfortunate nickname. This was a person. She kept to herself mostly This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. She was very careful about conserving gasoline. She was a cheapskate. This was a person. He was homophobic. This was a person. She loved cigarettes. This was a person. She didn't get along with animals. This was a person. She was afraid of heights. This was a person. She was good at job interviews. This was a person. She sang at parties. This was a person. He loved Elvis. This was a person. She was an expert barbecuer. This was a person. He led the choir. He loved rollerblading. This was a person. She  was learning to use CAD software. This was a person. She lived on breakfast bars. She ate a lot of fiber. This was a person. He constantly wore sunglasses. This was a person. She had bonsai trees. This was a person. He had extensions. This was a person. He  was learning to use CAD software. This was a person. She grew up on a farm.  This was a person. He could play harmonica. This was a person. He  was a street vendor. This was a person. He had bonsai trees. This was a person. She always made the mashed potatoes at family get-togethers. She  was playing nine games of Words with Friends on  her  phone. This was a person. She knew how to get free satelittle television. This was a person. She plays fantasy football. This was a person. She always wore a hat. This was a person. She had an awesome home theatre. This was a person. He  only ever had sex with one person. This was a person. She  was awaiting judgement for a DUI last month. She  loved to make out. This was a person. She sang. This was a person. She had a lot of shoes. She had a sexy phone voice. This was a person. He was a crossword whiz. This was a person. He  was a plumber. This was a person. He could juggle. This was a person. He didn't have a family. This was a person. He chewed gum constantly. He could juggle. This was a person. She was a scout leader.  This was a person. She played World of Warcraft She loved MASH. This was a person. He  did open mike. This was a person. He knew a lot of cops. This was a person. He helped strangers. This was a person. He was an awful driver. This was a person. She chewed nicotine gum.

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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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