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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 had a gun. She did not sleep with a pillow. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. He  was kind of an awesome lover. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. He  was a street vendor. This was a person. He never drank coffee. He ate a lot of raisins. This was a person. He was living with his sister. This was a person. He wore bow ties. This was a person. She excelled at woodworking. This was a person. She  was learning to use CAD software. She was a crossword whiz. This was a person. He had extensions. He got thrown off of a golf course. This was a person. She  was sort of selfish in bed. She  was a pharmacist. This was a person. He talked during movies. This was a person. He  went to church. This was a person. She  was learning to speak French. She  was a DJ. This was a person. She never drank coffee. This was a person. She had a bunch of tattoos. She couldn't grow a mustache. This was a person. She played chess. This was a person. She  could always get tickets. This was a person. She was a Mac evangelist. This was a person. He had a bunch of cameras. He did not own a fridge. This was a person. He was left-handed. He wore a lot of hats.  This was a person. He loved fine dining. He was good to people. This was a person. He once robbed a bank. This was a person. He took careful notes after every meal. This was a person. He helped strangers. This was a person. He  called in sick to work 9 times last month and was written up at work. He  was a DJ. This was a person. He had a bunch of tattoos. This was a person. She picked up litter.  This was a person. He talked during movies. He was a secret Buddahist. This was a person. She  was training to run a marathon. This was a person. He had a baby boy. He  always bought flowers for  his  desk. This was a person. He can't watch the end of T2 without crying He watched a lot of sports on TV, but never played them  himself. This was a person. He was an awful driver. He was a secret Buddahist. This was a person. She  was sleeping with  her  ex. This was a person. She had a podcast. This was a person. He always had gum. This was a person. He ate a lot of fish. He could juggle. This was a person. She  had VD. She  was a historian. This was a person. She had a podcast. This was a person. He threw a lot of parties. He could play trumpet. This was a person. She always brought lunch. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She excelled at woodworking. This was a person. He was a secret Buddahist. He kept to himself mostly This was a person. She was a skilled woodcarver. This was a person. He loved wine. This was a person. He was a Mac evangelist. This was a person. She took careful notes after every meal. She could fall asleep anywhere. This was a person. He always brought lunch. This was a person. She had a bunch of cameras. She loved cigarettes. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  did open mike. This was a person. She  finished reading all of the works of Homer. She  was a historian. This was a person. He  was sort of selfish in bed. This was a person. She was the richest of  her friends. This was a person. He was rough and tumble. This was a person. He had a lot of Beatles records. This was a person. He excelled at woodworking. This was a person. She looked like a cartoon. She spends a lot of time watching tennis. This was a person. She brought great food to social gatherings. This was a person. He had a bunch of cameras. He ate a lot of raisins. This was a person. She ate a lot of raisins. This was a person. He had extensions. This was a person. He once robbed a bank. This was a person. He survived cancer. He knew how to get free satelittle television. This was a person. She  was a street vendor. This was a person. She had a sexy phone voice. This was a person. He ate a lot of fish. This was a person. He had a gun. This was a person. He was a cheapskate. He helped strangers. This was a person. She  was a street vendor. This was a person. He could play banjo. He always wore a hat. This was a person. She never drank coffee. She wanted to learn magic. This was a person. She wore a lot of hats.  This was a person. He  played soccer every weekend. He has a suit at the cleaners. This was a person. She snored. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. He  was a DJ. He just had  his car stereo repaired. This was a person. She was a crossword whiz. This was a person. She plays fantasy football. This was a person. He led the choir. This was a person. She went to the horseraces. She spent a lot of time with old people. This was a person. He spends a lot of time watching tennis. This was a person. She could fix anything. This was a person. She had long fingernails. This was a person. He had a lot of music on vinyl. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She  was a pharmacist. This was a person. She was an expert barbecuer.

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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