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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  went to church. She was an awful driver. This was a person. He never raised  hisvoice. This was a person. She was the richest of  her friends. This was a person. She  was training to run a marathon. This was a person. She did not sleep with a pillow. This was a person. He  had VD. This was a person. He was a glassblower. This was a person. She had a green thumb. This was a person. She was an expert barbecuer. This was a person. He chewed gum constantly. This was a person. She loved wine. She was a good dancer. This was a person. She took careful notes after every meal. This was a person. He snored. This was a person. He  was afraid of flying. This was a person. He was always in a hurry. 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 had just paid a crapload of money to get    teeth fixed. This was a person. He was homophobic. This was a person. He spends a lot of time watching tennis. This was a person. She chewed gum constantly. She snored. This was a person. She had extensions. This was a person. He loved wine. He wore Spandex. This was a person. She always brought reusable bags into the store. This was a person. He  was a tailor. He was a crossword whiz. This was a person. He was rebuilding an engine. This was a person. He was rebuilding an engine. He had braces on  his  teeth. This was a person. She has a suit at the cleaners. This was a person. She loved nachos. This was a person. She loved cigarettes. This was a person. She  had a personal injury lawsuit working its way through the courts. She  played soccer every weekend. This was a person. He snored. This was a person. She plays fantasy football. This was a person. He had extensions. This was a person. He ate a lot of fish. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She ate a lot of fish. She was lactose intolerant. This was a person. He chewed nicotine gum. This was a person. He was polite to telemarketers. This was a person. He was kind of addicted to ebay. This was a person. She was a cat person. She kept to herself mostly This was a person. He was afraid of heights. This was a person. She had long fingernails. She was a hoarder. This was a person. She brought great food to social gatherings. This was a person. She  was kind of an awesome lover. This was a person. She can't watch the end of T2 without crying This was a person. He never ate breakfast. He kept to himself mostly This was a person. She had a gun. This was a person. She was very careful about conserving gasoline. This was a person. He had bonsai trees. This was a person. He never finished the book club book. This was a person. She just had  her car stereo repaired. This was a person. He occasionally shop lifted. This was a person. She overtipped. This was a person. He was a Mac evangelist. He was divorced. This was a person. She was a good dancer. She wore Spandex. This was a person. She was gluten intolerant. This was a person. He was an expert barbecuer. This was a person. She ate a lot of fish. This was a person. She made pie. She was a glassblower. This was a person. He  scalped tickets He was working  his  way through all of the shows on Netflix. This was a person. She sang. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She was polite to telemarketers. This was a person. She played piano. This was a person. He  collected figurines. He  was sleeping with  his  ex. This was a person. He went to the horseraces. This was a person. He  was a tailor. This was a person. He was a cheapskate. This was a person. He never finished the book club book. This was a person. She  could always get tickets. This was a person. He prefered bread without crusts. He loved pot. This was a person. She was an expert barbecuer. This was a person. He played World of Warcraft This was a person. She had an awesome home theatre. She threw a lot of parties. This was a person. He always had gum. He went to the horseraces. This was a person. He led the choir. He smoked pot at music festivals. This was a person. He  collected figurines. He  was kind of an awesome lover. This was a person. She had a lot of Beatles records. She wrote for the newspaper. This was a person. He  was sort of selfish in bed. This was a person. She  was learning to speak French. This was a person. She was a wedding photographer. This was a person. She wore bow ties. This was a person. She was a trivia master. This was a person. He survived cancer. This was a person. He ate the food at convenience stores. He helped strangers. This was a person. She was afraid of heights.

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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