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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  finished reading all of the works of Homer. This was a person. He was a cheapskate. This was a person. She never drank coffee. She ate a lot of hot dogs. This was a person. She sang. This was a person. She chewed nicotine gum. This was a person. She was afraid of heights. This was a person. She  was learning to speak French. She  was a tailor. This was a person. She just had  her car stereo repaired. This was a person. He had a bunch of cameras. This was a person. She  was a virgin. This was a person. He was lactose intolerant. This was a person. He was lactose intolerant. This was a person. She did not own a fridge. This was a person. He  played soccer every weekend. He couldn't grow a mustache. This was a person. She was very careful about conserving gasoline. She was rough and tumble. This was a person. She was gluten intolerant. This was a person. He  was a virgin. This was a person. He sang at parties. This was a person. She spent a lot of time with old people. She was obsessed with sitcoms. This was a person. She was rough and tumble. This was a person. He  had a hangover yesterday. This was a person. She smoked pot at music festivals. This was a person. She had a lot of music on vinyl. She was a dog person. This was a person. She played piano. This was a person. She was the unofficial relationship guru among   friends. This was a person. He never finished the book club book. He went to the horseraces. This was a person. He loved nachos. This was a person. She looked like a cartoon. This was a person. He played chess. He loved rollerblading. This was a person. She made  her  own beer and was kind of stingy with it. She was afraid of the water. This was a person. She  was learning to speak French. This was a person. He chewed gum constantly. This was a person. He was cockeyed. This was a person. She abused cars. She has a music afficianado. This was a person. He was the richest of  his friends. This was a person. He ate a lot of fiber. This was a person. She wore Spandex. This was a person. He was rebuilding an engine. He never raised  hisvoice. This was a person. She ate a lot of chinese food. This was a person. He made  his  own beer and was kind of stingy with it. He loved James Bond movies. This was a person. He wanted to learn magic. This was a person. He always made the mashed potatoes at family get-togethers. He  collected figurines. This was a person. He took a lot of photos. He had bonsai trees. This was a person. He wore bow ties. He was an expert barbecuer. This was a person. She had braces on  her  teeth. This was a person. He  was sort of selfish in bed. This was a person. She made pie. She had a bunch of cameras. This was a person. He  was afraid of flying. He was working  his  way through all of the shows on Netflix. This was a person. She survived cancer. She had a green thumb. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She was a skilled woodcarver. This was a person. He was a cat person. This was a person. She was a good dancer. She was a scout leader.  This was a person. She knew how to get free satelittle television. This was a person. He was a scout leader.  He played guitar on the streets for money. This was a person. She  was a poet. She can't watch the end of T2 without crying This was a person. She was working  her  way through all of the shows on Netflix. This was a person. He slept around. This was a person. He picked up litter.  This was a person. She had a twin. This was a person. She had a gun. This was a person. She loved pot. This was a person. He had a lot of music on vinyl. This was a person. He loved pot. This was a person. He was polite to salesmen. This was a person. She tutored kids. This was a person. He played chess. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. He spent a lot of time with old people. This was a person. She slept around. This was a person. She was a vegetarian. This was a person. She can't watch the end of T2 without crying This was a person. She was left-handed. This was a person. She was 4 days sober. This was a person. She taught guitar. This was a person. He occasionally shop lifted. This was a person. He has four overdue books.  This was a person. He had an unfortunate nickname. This was a person. She spent a lot of time with old people. This was a person. He was rebuilding an engine. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She spent a lot of time with old people. This was a person. She loved chocolate. This was a person. He picked up litter.  This was a person. He survived cancer. He grew up on a farm.  This was a person. He  was a drunk. This was a person. He knew a lot of cops.

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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