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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 very good at cleaning. This was a person. He  had VD. This was a person. He made pie. This was a person. He  did open mike. This was a person. She  could always get tickets. This was a person. She was kind of addicted to ebay. This was a person. She had a sexy phone voice. This was a person. She  was a teacher. This was a person. He  collected figurines. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. He  went to church. He had a gun. This was a person. She threw a lot of parties. This was a person. He abused cars. This was a person. He  was a teacher. He  did open mike. This was a person. He had an unfortunate nickname. This was a person. He was a crossword whiz. He just had  his car stereo repaired. This was a person. She kept to herself mostly This was a person. She  went to church. She knew a lot of cops. This was a person. He  was sleeping with  his  ex. This was a person. She took a lot of photos. This was a person. She always brought lunch. This was a person. He loved wine. This was a person. She  was learning to use CAD software. She never carried cash. This was a person. She had a baby boy. This was a person. She  was training to run a marathon. She  was a tailor. This was a person. He chewed gum constantly. He ate a lot of hot dogs. This was a person. She made scrapbooks. This was a person. He was lactose intolerant. This was a person. He had long fingernails. This was a person. He lived on breakfast bars. He was a wedding photographer. This was a person. She just had the bandages removed from  plastic surgery. This was a person. She  was a translator. This was a person. He was a cheapskate. He was cockeyed. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He  was awaiting judgement for a DUI last month. He  was a translator. This was a person. He wore a lot of jewelry. This was a person. He loved chocolate. This was a person. He wore bow ties. He was balding. This was a person. He tutored kids. This was a person. She abused cars. This was a person. She was homophobic. She had a bunch of cameras. This was a person. He had braces on  his  teeth. This was a person. He  was a mason. He was afraid of heights. This was a person. He was homophobic. This was a person. He has four overdue books.  This was a person. She always brought lunch. She could play cricket. This was a person. She always had a clean car. This was a person. He ate a lot of raisins. This was a person. She once robbed a bank. She loved rollerblading. This was a person. She loved cigarettes. She had an unfortunate nickname. This was a person. He had crazy hair colors. This was a person. He  played soccer every weekend. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. She was divorced. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She was good to people. This was a person. She was thrifty. This was a person. He could fix anything. This was a person. She always wore a hat. This was a person. She  called in sick to work 9 times last month and was written up at work. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He always brought lunch. This was a person. He ate a lot of fish. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She loved Elvis. She was thrifty. This was a person. He  was sleeping with  his  ex. He  was a historian. This was a person. He played piano. This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. He was a trivia master. This was a person. She knew a lot of cops. This was a person. He  was kind of an awesome lover. He  was learning to use CAD software. This was a person. He abused cars. He was convinced he was color blind. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He brought great food to social gatherings. This was a person. She always brought lunch. This was a person. She loved to fish. This was a person. He could play cricket. This was a person. She  was playing nine games of Words with Friends on  her  phone. She loved James Bond movies. This was a person. She had a twin. This was a person. He loved fine dining. He was good to people. This was a person. She  loved to make out. This was a person. She had an unfortunate nickname. This was a person. She was living with her sister. She  was a virgin. This was a person. She was a cheapskate. This was a person. She loved wine. This was a person. She has four overdue books.  She once robbed a bank. This was a person. He  was a DJ. This was a person. She abused cars. She was an expert barbecuer. This was a person. He was polite to salesmen. He wore Spandex.

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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