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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 has a suit at the cleaners. He did not sleep with a pillow. This was a person. He loved chocolate. He just had the bandages removed from  plastic surgery. This was a person. She could play cricket. This was a person. He spent a lot of time with old people. This was a person. He ate a lot of fiber. This was a person. She made pie. She was thrifty. This was a person. She  was a translator. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  was a pharmacist. This was a person. She spends a lot of time watching tennis. This was a person. He had a bunch of cameras. He ate a lot of chinese food. This was a person. He was homophobic. This was a person. She played World of Warcraft This was a person. She wore a lot of hats.  This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She wore Spandex. This was a person. He survived cancer. This was a person. He has a suit at the cleaners. He couldn't grow a mustache. This was a person. He was good at job interviews. This was a person. She ate a lot of hot dogs. This was a person. He wore a lot of jewelry. This was a person. He could play banjo. This was a person. He was a hoarder. This was a person. She  had a hangover yesterday. This was a person. She was an expert barbecuer. This was a person. He knew how to get free satelittle television. He loved museums. This was a person. He  was training to run a marathon. This was a person. He was very good at cleaning. This was a person. She ate a lot of hot dogs. This was a person. She occasionally shop lifted. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She was a vegetarian. This was a person. She always had gum. This was a person. He had a bunch of cameras. This was a person. He was a Mac evangelist. This was a person. She ate a lot of kale. She always brought reusable bags into the store. This was a person. He had a green thumb. He had a lot of shoes. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He was living with his sister. He  loved to make out. This was a person. He was polite to telemarketers. This was a person. She  was training to run a marathon. This was a person. She was very good at cleaning. This was a person. She survived cancer. This was a person. He always had a clean car. He never finished the book club book. This was a person. She  called in sick to work 9 times last month and was written up at work. She  was a drunk. This was a person. She couldn't grow a mustache. This was a person. He  played soccer every weekend. This was a person. He  had a personal injury lawsuit working its way through the courts. He was afraid of heights. This was a person. She took careful notes after every meal. This was a person. He  scalped tickets This was a person. She  was a translator. She was kind of addicted to ebay. This was a person. He got thrown off of a golf course. He played guitar on the streets for money. This was a person. He was cockeyed. This was a person. He was kind of addicted to ebay. He was a secret Buddahist. This was a person. She made pie. This was a person. She never drank coffee. She ate a lot of chinese food. This was a person. She ate a lot of chinese food. This was a person. She made pie. She wanted to learn magic. This was a person. He once robbed a bank. This was a person. She survived cancer. This was a person. She played World of Warcraft She once robbed a bank. This was a person. She just had the bandages removed from  plastic surgery. She chewed nicotine gum. This was a person. She could play harmonica. This was a person. She knew how to get free satelittle television. She was balding. This was a person. He constantly wore sunglasses. This was a person. He had a twin. He  was a historian. This was a person. He was a skilled woodcarver. This was a person. She just had  her car stereo repaired. This was a person. He was afraid of the water. This was a person. She looked like a cartoon. She wore a lot of hats.  This was a person. She had a lot of music on vinyl. This was a person. She wore bow ties. She was an expert barbecuer. This was a person. He was very careful about conserving gasoline. This was a person. She played a lot of social card games.  This was a person. He  was kind of an awesome lover. This was a person. He had a lot of music on vinyl. This was a person. He was good to people. He had a tiny wine collection. This was a person. She did not own a fridge. This was a person. He had just paid a crapload of money to get    teeth fixed. He never answered the phone. This was a person. She has a suit at the cleaners. She talked during movies. This was a person. She loved Elvis. This was a person. She never drank coffee. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  could always get tickets. This was a person. She kept to herself mostly This was a person. She was left-handed. She got thrown off of a golf course. This was a person. He  loved to make out. He  was a mason. This was a person. He had an unfortunate nickname. This was a person. He 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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