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Disaster Casualties Visualization Tool: The Happy Land Fire: 1990

87 Dead Men and Women

The Happy Land fire was an arson fire that killed 87 people trapped in an unlicensed social club, 1990.

This was a person. She  was a street vendor. This was a person. He  collected figurines. This was a person. She occasionally shop lifted. This was a person. He had an unfortunate nickname. This was a person. He always wore a hat. This was a person. He played a lot of social card games.  He plays fantasy football. This was a person. She loved chocolate. This was a person. She  was a pharmacist. This was a person. She couldn't grow a mustache. She had a lot of Beatles records. This was a person. She had a bunch of tattoos. She loved Elvis. This was a person. He was left-handed. 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  had VD. This was a person. He was a vegetarian. He wanted to learn magic. This was a person. She wore Spandex. She picked up litter.  This was a person. She had a sexy phone voice. 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 always wore a hat. He had crazy hair colors. This was a person. He  was sort of selfish in bed. This was a person. He was a cat person. This was a person. She  had a hangover yesterday. She  was playing nine games of Words with Friends on  her  phone. This was a person. She had an awesome home theatre. This was a person. She was sporty. This was a person. He  was a plumber. This was a person. She ate a lot of raisins. This was a person. He never carried cash. This was a person. He made pie. He wanted to learn magic. This was a person. She  was a teacher. This was a person. He sang. This was a person. He snored. He sang. This was a person. He  had a hangover yesterday. This was a person. She had tropical fish. This was a person. She was a cheapskate. This was a person. She was a wedding photographer. This was a person. He was polite to telemarketers. This was a person. He was lactose intolerant. This was a person. He slept around. This was a person. He  was training to run a marathon. This was a person. She plays fantasy football. This was a person. He  went to church. This was a person. She  had VD. This was a person. He was sporty. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. This was a person. He sang. He was the unofficial relationship guru among   friends. This was a person. He  was learning to speak French. This was a person. He was a cheapskate. He helped strangers. This was a person. She never drank coffee. This was a person. She had extensions. This was a person. He was an expert barbecuer. This was a person. She had a bunch of cameras. This was a person. He took careful notes after every meal. This was a person. He wore earphones all the time. This was a person. She was polite to telemarketers. This was a person. He wore a lot of hats.  This was a person. He talked during movies. He was divorced. This was a person. She sang. This was a person. He was lactose intolerant. This was a person. He  had a personal injury lawsuit working its way through the courts. This was a person. He  was learning to use CAD software. This was a person. She was a Mac evangelist. This was a person. He  could always get tickets. This was a person. He took careful notes after every meal. This was a person. She  was a virgin. This was a person. She didn't have a family. This was a person. She ate a lot of kale. This was a person. She was afraid of heights. This was a person. She always wore a hat. She had an unfortunate nickname. This was a person. He never raised  hisvoice. He was a vegetarian. This was a person. She  did open mike. This was a person. She  collected figurines. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He was allergic to peanuts. He ate a lot of hot dogs. This was a person. She was cockeyed. This was a person. She ate a lot of raisins. This was a person. She loved pot. This was a person. He  loved to make out. This was a person. He once robbed a bank. This was a person. He could play cricket. This was a person. He  was learning to use CAD software. This was a person. He had a lot of Beatles records. This was a person. He helped people. This was a person. She constantly wore sunglasses. This was a person. He abused cars. This was a person. He never raised  hisvoice. He was a vegetarian. This was a person. He  was a translator. He loved James Bond movies. This was a person. He was homophobic. He could play cricket. This was a person. He  had VD.

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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