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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 sporty. This was a person. She just had  her car stereo repaired. This was a person. She had a lot of shoes. 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 played World of Warcraft This was a person. She loved nachos. This was a person. He can't watch the end of T2 without crying This was a person. He was gluten intolerant. This was a person. She went to the horseraces. This was a person. She has two living parents. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She spends a lot of time watching tennis. This was a person. He could play harmonica. He survived cancer. This was a person. She had a bunch of tattoos. She had a lot of music on vinyl. This was a person. She played World of Warcraft This was a person. She  went to church. She never carried cash. This was a person. She picked up litter.  This was a person. He loved wine. This was a person. He  was sleeping with  his  ex. He  was a DJ. This was a person. She  collected figurines. This was a person. He talked during movies. This was a person. She didn't get along with animals. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. She was thrifty. She could play harmonica. This was a person. She had a bunch of tattoos. This was a person. He wore earphones all the time. This was a person. He overtipped. This was a person. She did not sleep with a pillow. She brought great food to social gatherings. This was a person. He wore bow ties. This was a person. He spent a lot of time with old people. This was a person. She was rebuilding an engine. This was a person. He always wore a hat. This was a person. She  was a teacher. This was a person. She loved nachos. She was a hoarder. This was a person. He was polite to salesmen. He was a good dancer. This was a person. She was polite to telemarketers. This was a person. He tutored kids. He has four overdue books.  This was a person. He wanted to learn magic. This was a person. He tutored kids. This was a person. She once robbed a bank. This was a person. She loved pot. She didn't get along with animals. This was a person. She went to the horseraces. This was a person. He was a wedding photographer. He ate a lot of chinese food. This was a person. She was working  her  way through all of the shows on Netflix. She was kind of addicted to ebay. This was a person. He could play banjo. He always had a clean car. This was a person. He  was a street vendor. This was a person. He helped strangers. This was a person. She loved cigarettes. This was a person. He has two living parents. This was a person. She loved James Bond movies. She had braces on  her  teeth. This was a person. She  was a translator. She  scalped tickets This was a person. He grew up on a farm.  This was a person. She always made the mashed potatoes at family get-togethers. This was a person. She went to the horseraces. 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. He got thrown off of a golf course. This was a person. He went to the horseraces. This was a person. She  was afraid of flying. This was a person. He just had  his car stereo repaired. This was a person. She prefered bread without crusts. This was a person. She was a cheapskate. She smoked pot at music festivals. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. He wore earphones all the time. This was a person. He  was a drunk. He was afraid of heights. This was a person. She constantly wore sunglasses. This was a person. He was a wedding photographer. This was a person. He  was a pharmacist. This was a person. He was the unofficial relationship guru among   friends. This was a person. She was cockeyed. She wore bow ties. This was a person. She had a lot of Beatles records. This was a person. She played piano. She ate a lot of fish. This was a person. She had bonsai trees. This was a person. She sang. This was a person. She took a lot of photos. This was a person. He always brought reusable bags into the store. This was a person. He loved to fish. This was a person. She was a cat person. This was a person. She was thrifty. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She  played soccer every weekend. This was a person. She  was training to run a marathon. This was a person. She was good to people. This was a person. She loved oreos. This was a person. He watched a lot of sports on TV, but never played them  himself. This was a person. He never drank coffee. This was a person. She tutored kids. She didn't get along with animals. This was a person. He wore a lot of hats.

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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