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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 snored. This was a person. She couldn't grow a mustache. This was a person. He  was a poet. He had a bunch of tattoos. This was a person. He was sporty. This was a person. She loved fine dining. This was a person. She was 4 days sober. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He was a scout leader.  This was a person. He had a green thumb. This was a person. He wore Spandex. This was a person. He was rough and tumble. He was a cheapskate. This was a person. He was a vegetarian. This was a person. She ate a lot of kale. This was a person. She had a podcast. This was a person. She  had a hangover yesterday. This was a person. She  always bought flowers for  her  desk. This was a person. He  was a drunk. 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 always brought reusable bags into the store. This was a person. She could fix anything. This was a person. She  collected figurines. She  only ever had sex with one person. This was a person. She prefered bread without crusts. This was a person. She  always bought flowers for  her  desk. This was a person. He was divorced. This was a person. She had a gun. This was a person. He  was a translator. This was a person. She led the choir. This was a person. He wore Spandex. He overtipped. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. She snored. This was a person. She was rebuilding an engine. This was a person. She kept to herself mostly This was a person. She was a cat person. This was a person. She didn't have a family. She  had a personal injury lawsuit working its way through the courts. This was a person. She knew a lot of cops. She wrote for the newspaper. This was a person. She had crazy hair colors. This was a person. She wore earphones all the time. She played piano. This was a person. He was allergic to peanuts. This was a person. She always had gum. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She played a lot of social card games.  This was a person. He could play trumpet. This was a person. She had a twin. This was a person. He helped people. He always brought lunch. This was a person. She played chess. She once robbed a bank. This was a person. She was cockeyed. She played chess. This was a person. She went to the horseraces. This was a person. He tutored kids. He played World of Warcraft This was a person. He played World of Warcraft This was a person. She loved wine. This was a person. She was sporty. This was a person. He was the richest of  his friends. This was a person. He talked during movies. This was a person. He has a suit at the cleaners. This was a person. She always brought lunch. This was a person. He always had a clean car. He didn't get along with animals. This was a person. He was rough and tumble. He spends a lot of time watching tennis. This was a person. She  was a tailor. This was a person. She  was a translator. This was a person. She was always in a hurry. She had a lot of Beatles records. This was a person. She was a good dancer. This was a person. He chewed gum constantly. He ate a lot of hot dogs. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. He  always bought flowers for  his  desk. This was a person. She was a scout leader.  This was a person. He  was training to run a marathon. He  was a tailor. This was a person. He plays fantasy football. This was a person. She  was learning to speak French. This was a person. She was a secret Buddahist. This was a person. He  was a tailor. This was a person. She was allergic to peanuts. This was a person. She  always bought flowers for  her  desk. This was a person. She was a scout leader.  She played guitar on the streets for money. This was a person. She was rough and tumble. This was a person. He ate a lot of kale. This was a person. She had a green thumb. This was a person. He loved Elvis. This was a person. He was an expert barbecuer. This was a person. He occasionally shop lifted. This was a person. She smoked pot at music festivals. This was a person. He taught guitar. This was a person. She had a lot of Beatles records. This was a person. She  only ever had sex with one person. She  went to church. This was a person. He  finished reading all of the works of Homer. This was a person. He was a good dancer. This was a person. He  was a drunk. This was a person. She had a bunch of cameras. She could play cricket. This was a person. She chewed gum constantly. This was a person. He couldn't grow a mustache. This was a person. She slept around. She always had gum. This was a person. She could play banjo. This was a person. She could fix anything. This was a person. She played piano. She was the richest of  her friends. This was a person. She tutored kids. This was a person. He  did open mike. He could fix anything. This was a person. She  was playing nine games of Words with Friends on  her  phone. She  was a historian. This was a person. She brought great food to social gatherings. This was a person. She just had  her car stereo repaired. This was a person. She was kind of addicted to ebay. This was a person. He  had a personal injury lawsuit working its way through the courts. He  was a poet. This was a person. She always brought reusable bags into the store.

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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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