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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 wore a lot of hats.  This was a person. He was afraid of the water. This was a person. He had bonsai trees. This was a person. He loved wine. He was sporty. This was a person. She got thrown off of a golf course. This was a person. He had a baby boy. This was a person. She took careful notes after every meal. This was a person. She  was a pharmacist. She had a bunch of tattoos. This was a person. He wrote for the newspaper. This was a person. He overtipped. This was a person. She brought great food to social gatherings. This was a person. She spends a lot of time watching tennis. This was a person. He was sporty. He had a green thumb. This was a person. He  always bought flowers for  his  desk. He loved James Bond movies. This was a person. She has four overdue books.  This was a person. He looked like a cartoon. This was a person. He played chess. This was a person. She wore a lot of hats.  She wore bow ties. This was a person. She wore earphones all the time. She had a lot of music on vinyl. This was a person. He could fall asleep anywhere. He took a lot of photos. This was a person. She was left-handed. This was a person. He spends a lot of time watching tennis. He chewed nicotine gum. This was a person. She loved oreos. This was a person. She always brought reusable bags into the store. This was a person. He had a gun. This was a person. He had a gun. This was a person. She wore Spandex. She just had the bandages removed from  plastic surgery. This was a person. She  was a tailor. She was afraid of heights. This was a person. She had a bunch of tattoos. This was a person. She was lactose intolerant. She loved chocolate. This was a person. He spent a lot of time with old people. This was a person. She was polite to salesmen. This was a person. He always brought lunch. He wanted to learn magic. This was a person. She loved Elvis. She was the richest of  her friends. This was a person. He was sporty. This was a person. He ate the food at convenience stores. This was a person. She survived cancer. This was a person. He was rebuilding an engine. This was a person. He was cockeyed. This was a person. She abused cars. She never answered the phone. This was a person. He  was a pharmacist. This was a person. He loved James Bond movies. This was a person. He was a vegetarian. This was a person. She looked like a cartoon. This was a person. She helped people. She was homophobic. This was a person. She loved Elvis. She was homophobic. This was a person. She was polite to salesmen. This was a person. He was 4 days sober. This was a person. She could fall asleep anywhere. This was a person. He knew a lot of cops. He never raised  hisvoice. This was a person. He knew how to get free satelittle television. This was a person. She was very careful about conserving gasoline. This was a person. She went to the horseraces. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She was afraid of the water. This was a person. She kept to herself mostly This was a person. He had a green thumb. This was a person. She  scalped tickets She just had  her car stereo repaired. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She  had VD. This was a person. He had tropical fish. This was a person. He loved nachos. This was a person. She  scalped tickets This was a person. He  had a personal injury lawsuit working its way through the courts. He was an awful driver. This was a person. She was rebuilding an engine. This was a person. She had extensions. This was a person. She chewed gum constantly. She was allergic to peanuts. This was a person. She once robbed a bank. She helped the widow next door. This was a person. He  was a DJ. He never carried cash. This was a person. He wore earphones all the time. This was a person. She did not sleep with a pillow. She was a glassblower. This was a person. He spends a lot of time watching tennis. This was a person. She  was playing nine games of Words with Friends on  her  phone. She was a trivia master. This was a person. He was rebuilding an engine. This was a person. He slept around. This was a person. She had a green thumb. She was going blind. This was a person. He  was a pharmacist. He  was a tailor. This was a person. He had an unfortunate nickname. This was a person. He did not sleep with a pillow. He was divorced. This was a person. He  was a historian. This was a person. He prefered bread without crusts. He was a good dancer. This was a person. She lived on breakfast bars. This was a person. He  collected figurines. This was a person. She could play harmonica. This was a person. He wore earphones all the time. He never raised  hisvoice. This was a person. He  scalped tickets He could fix anything. This was a person. She  was a tailor. She was rebuilding an engine. This was a person. He had a lot of Beatles records. He took a lot of photos. This was a person. She was the richest of  her friends. This was a person. She could play trumpet. This was a person. She had a bunch of cameras. She loved cigarettes. This was a person. She always had a clean car. This was a person. He was afraid of heights. This was a person. He could play trumpet. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. He got out of jail two years ago and never reunited with his family. He  was sleeping with  his  ex. This was a person. She took a lot of photos. This was a person. He loved James Bond movies. This was a person. He slept around. This was a person. He wrote for the newspaper.

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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