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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. He never finished the book club book. This was a person. He led the choir. This was a person. She had a green thumb. This was a person. He  was a translator. He was working  his  way through all of the shows on Netflix. This was a person. He was cockeyed. This was a person. He was the richest of  his friends. This was a person. He chewed gum constantly. This was a person. He ate the food at convenience stores. He played guitar on the streets for money. This was a person. She did not own a fridge. She played a lot of social card games.  This was a person. She chewed nicotine gum. She had a tiny wine collection. This was a person. He chewed nicotine gum. This was a person. She loved chocolate. This was a person. She could juggle. This was a person. She  was a historian. This was a person. She was a vegetarian. This was a person. He was polite to salesmen. This was a person. She was homophobic. This was a person. She had a baby boy. This was a person. He tutored kids. This was a person. She loved chocolate. This was a person. He was polite to telemarketers. This was a person. He was a good dancer. This was a person. He was very careful about conserving gasoline. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He helped strangers. He couldn't stand having the air-conditioner blow on   himself . This was a person. She ate a lot of fiber. This was a person. He watched a lot of sports on TV, but never played them  himself. This was a person. She could play trumpet. She loved nachos. This was a person. She was a skilled woodcarver. This was a person. She picked up litter.  This was a person. He has a suit at the cleaners. He had an awesome home theatre. This was a person. He brought great food to social gatherings. This was a person. She  did open mike. She had a bunch of tattoos. This was a person. She ate a lot of hot dogs. 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. She wore Spandex. She was a cheapskate. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. This was a person. She  was a mason. She could fix anything. This was a person. She sang. This was a person. He never raised  hisvoice. This was a person. He  was a DJ. This was a person. He was good to people. He loved MASH. This was a person. He just had the bandages removed from  plastic surgery. He had just paid a crapload of money to get    teeth fixed. This was a person. He chewed gum constantly. He loved wine. This was a person. She was 4 days sober. She  was afraid of flying. This was a person. He survived cancer. He was sporty. This was a person. She loved wine. This was a person. She  played soccer every weekend. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She had a lot of Beatles records. This was a person. She  was a street vendor. This was a person. He was gluten intolerant. This was a person. He was rebuilding an engine. He was kind of addicted to ebay. This was a person. She has four overdue books.  This was a person. She had a lot of music on vinyl. This was a person. She  was afraid of flying. This was a person. She had tropical fish. This was a person. He was the unofficial relationship guru among   friends. This was a person. She had bonsai trees. She loved pot. This was a person. He  was a drunk. He had a bunch of tattoos. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. He always wore a hat. This was a person. He ate a lot of hot dogs. He had an unfortunate nickname. This was a person. She could play cricket. She sang. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He can't watch the end of T2 without crying This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He didn't have a family. This was a person. She did not sleep with a pillow. She never drank coffee. This was a person. She wore a lot of hats.  She picked up litter.  This was a person. He wore earphones all the time. He helped people. This was a person. She plays fantasy football. This was a person. She never finished the book club book. She overtipped. This was a person. He went to the horseraces. He played chess. This was a person. She could juggle. This was a person. She could fall asleep anywhere. This was a person. He  was a plumber. This was a person. He had tropical fish. He had a podcast. This was a person. She snored. This was a person. She was kind of addicted to ebay. This was a person. She ate the food at convenience stores. This was a person. He loved to fish. This was a person. She didn't have a family. She  was sleeping with  her  ex. This was a person. She had a lot of Beatles records. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. She  had a personal injury lawsuit working its way through the courts. She was working  her  way through all of the shows on Netflix. This was a person. He  was a DJ. He had a gun.

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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