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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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