The Happy Land Fire Tragedy Casualties Visualization Tool - Cockeyed.com

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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. She knew how to get free satelittle television.

This was a person. She always brought lunch.

This was a person. She was kind of addicted to ebay. She made pie.

This was a person. She lived on breakfast bars.

This was a person. She got thrown off of a golf course. She loved rollerblading.

This was a person. She helped people.

This was a person. She was afraid of heights.

This was a person. She got out of jail two years ago and never reunited with her family. She was kind of an awesome lover.

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 had a baby boy.

This was a person. He spends a lot of time watching tennis. He loved rollerblading.

This was a person. He loved nachos.

This was a person. He never carried cash. He was a cat person.

This was a person. He was always in a hurry.

This was a person. She wore a lot of hats. She excelled at woodworking.

This was a person. She could always get tickets. She was an awful driver.

This was a person. She was a hoarder.

This was a person. She had a bunch of cameras.

This was a person. She just had her car stereo repaired.

This was a person. He took a lot of photos. He had bonsai trees.

This was a person. He played soccer every weekend.

This was a person. She wore a lot of hats. She spent a lot of time with old people.

This was a person. She was playing nine games of Words with Friends on her phone.

This was a person. She had VD. She was a trivia master.

This was a person. He grew up on a farm. He played World of Warcraft

This was a person. She was a trivia master.

This was a person. She was living with her sister. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. He wore a lot of hats. He chewed nicotine gum.

This was a person. He had a podcast.

This was a person. He could play cricket.

This was a person. She was a hoarder.

This was a person. She ate a lot of hot dogs.

This was a person. He snored.

This was a person. He was polite to salesmen.

This was a person. She was a pharmacist.

This was a person. She was very careful about conserving gasoline.

This was a person. She was an awful driver.

This was a person. She was sleeping with her ex.

This was a person. He was divorced.

This was a person. He had just paid a crapload of money to get teeth fixed. He was obsessed with sitcoms.

This was a person. He excelled at woodworking. He never tried gin.

This was a person. She had tropical fish.

This was a person. He was gluten intolerant.

This was a person. He was a tailor.

This was a person. He had an unfortunate nickname.

This was a person. He had tropical fish.

This was a person. He was left-handed.

This was a person. She was a DJ.

This was a person. He never ate breakfast.

This was a person. He was allergic to peanuts.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She was learning to use CAD software.

This was a person. She loved nachos. She had extensions.

This was a person. He couldn't grow a mustache.

This was a person. She couldn't grow a mustache.

This was a person. She snored.

This was a person. He could play cricket. He was the unofficial relationship guru among friends.

This was a person. She was an expert barbecuer.

This was a person. He looked like a cartoon. He was cockeyed.

This was a person. She was rebuilding an engine.

This was a person. She slept around. She had a green thumb.

This was a person. She was a trivia master. She loved to fish.

This was a person. He wore Spandex.

This was a person. He was a good dancer.

This was a person. She had braces on her teeth.

This was a person. He was afraid of flying.

This was a person. She was a dog person.

This was a person. She wore a lot of jewelry.

This was a person. She was afraid of the water. She had a lot of music on vinyl.

This was a person. He was learning to use CAD software.

This was a person. She was the unofficial relationship guru among friends.

This was a person. He was a trivia master. He just had his car stereo repaired.

This was a person. She had a bunch of tattoos.

This was a person. She was a plumber. She was a crossword whiz.

This was a person. He was awaiting judgement for a DUI last month. He only ever had sex with one person.

This was a person. He loved wine.

This was a person. He was a dog person.

This was a person. She was afraid of flying.

This was a person. He was a teacher. He was working his way through all of the shows on Netflix.

This was a person. He went to church. He was a Mac evangelist.

This was a person. She was sleeping with her ex. She loved to make out.

This was a person. He had a podcast.

This was a person. She was a street vendor. She was a crossword whiz.

This was a person. She played soccer every weekend.

This was a person. He knew how to get free satelittle television.

This was a person. He was a tailor.

This was a person. She was very good at cleaning. She survived cancer.

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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Photographic Height/Weight Chart

The Weight of Clothing

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