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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 a mason. This was a person. He was good to people. This was a person. He was rough and tumble. This was a person. He wrote for the newspaper. He never drank coffee. This was a person. She never carried cash. This was a person. She has two living parents. This was a person. She loved pot. This was a person. He  was a teacher. This was a person. She helped strangers. This was a person. She was rough and tumble. This was a person. She  always bought flowers for  her  desk. She made  her  own beer and was kind of stingy with it. This was a person. She had an unfortunate nickname. This was a person. He knew a lot of cops. He was divorced. This was a person. He played a lot of social card games.  He got thrown off of a golf course. This was a person. He  had a hangover yesterday. This was a person. He just had the bandages removed from  plastic surgery. This was a person. She was thrifty. She could play banjo. This was a person. He took careful notes after every meal. This was a person. She was left-handed. She helped strangers. This was a person. She ate a lot of chinese food. This was a person. He always had gum. He spends a lot of time watching tennis. This was a person. He wore Spandex. This was a person. He had a twin. He  was a virgin. This was a person. She once robbed a bank. This was a person. He chewed gum constantly. This was a person. She loved wine. She always brought reusable bags into the store. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He was rough and tumble. He was a cheapskate. This was a person. He picked up litter.  This was a person. He was a wedding photographer. He was polite to telemarketers. This was a person. She was the unofficial relationship guru among   friends. This was a person. She was a trivia master. She was afraid of heights. This was a person. She was an awful driver. This was a person. She was polite to telemarketers. She did not own a fridge. This was a person. He made pie. He lived on breakfast bars. This was a person. She loved oreos. She ate a lot of chinese food. This was a person. She spent a lot of time with old people. This was a person. He loved pot. This was a person. He  was a virgin. This was a person. She knew how to get free satelittle television. She helped strangers. This was a person. She could play cricket. This was a person. She had a bunch of cameras. This was a person. She  was a mason. This was a person. He was cockeyed. He played guitar on the streets for money. This was a person. She played a lot of social card games.  This was a person. He excelled at woodworking. He was convinced he was color blind. This was a person. She loved wine. This was a person. He had a bunch of tattoos. He talked during movies. This was a person. She was a dog person. This was a person. He chewed gum constantly. This was a person. He could play cricket. This was a person. He was the richest of  his friends. He was homophobic. This was a person. He always had a clean car. He wore Spandex. This was a person. He has two living parents. This was a person. She didn't have a family. She  was afraid of flying. This was a person. She has four overdue books.  This was a person. She constantly wore sunglasses. This was a person. She was cockeyed. This was a person. He was good at job interviews. This was a person. He kept to himself mostly He loved nachos. This was a person. He didn't have a family. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. He threw a lot of parties. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He brought great food to social gatherings. This was a person. She always wore a hat. This was a person. He  collected figurines. This was a person. She  was a poet. This was a person. She was divorced. This was a person. He was rebuilding an engine. This was a person. She was a glassblower. This was a person. She could play banjo. This was a person. She ate a lot of fiber. This was a person. She ate the food at convenience stores. She had just paid a crapload of money to get    teeth fixed. This was a person. She knew how to get free satelittle television. This was a person. He was sporty. He led the choir. This was a person. He had a podcast. This was a person. He always brought reusable bags into the store. This was a person. He was a wedding photographer. This was a person. She had a sexy phone voice. This was a person. He helped people. He wrote for the newspaper. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He had a bunch of cameras. This was a person. He kept to himself mostly This was a person. He was a wedding photographer. This was a person. He had bonsai trees. He was polite to telemarketers. This was a person. He never drank coffee. This was a person. She prefered bread without crusts. She loved pot.

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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