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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 could play banjo. This was a person. He  was a street vendor. He was afraid of heights. This was a person. He always had gum. He chewed nicotine gum. This was a person. He wore a lot of jewelry. He had a lot of music on vinyl. This was a person. She was polite to salesmen. This was a person. He was very careful about conserving gasoline. This was a person. She  only ever had sex with one person. This was a person. He had an awesome home theatre. He could fall asleep anywhere. This was a person. She  was sort of selfish in bed. She  could always get tickets. This was a person. He had an unfortunate nickname. This was a person. She picked up litter.  She was convinced he was color blind. This was a person. He  could always get tickets. This was a person. She could play cricket. She always wore a hat. This was a person. She was polite to salesmen. This was a person. He played chess. This was a person. He did not sleep with a pillow. He loved oreos. This was a person. He was left-handed. This was a person. He had braces on  his  teeth. This was a person. She wore a lot of jewelry. She loved to fish. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She  was a poet. She made  her  own beer and was kind of stingy with it. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. He loved wine. This was a person. She  was a mason. She was kind of addicted to ebay. This was a person. She has a suit at the cleaners. This was a person. He  finished reading all of the works of Homer. This was a person. He was kind of addicted to ebay. He talked during movies. This was a person. He never finished the book club book. This was a person. She played a lot of social card games.  This was a person. She was rebuilding an engine. She had an awesome home theatre. This was a person. He had an unfortunate nickname. He wore a lot of hats.  This was a person. He was always in a hurry. This was a person. She  was a pharmacist. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. She  was a mason. This was a person. He loved to fish. This was a person. He never drank coffee. This was a person. He ate the food at convenience stores. This was a person. She loved cigarettes. She grew up on a farm.  This was a person. He had a green thumb. This was a person. He loved oreos. This was a person. He made  his  own beer and was kind of stingy with it. He could fix anything. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He was 4 days sober. He  was a historian. This was a person. He chewed nicotine gum. This was a person. He had tropical fish. He lived on breakfast bars. This was a person. He made  his  own beer and was kind of stingy with it. He could fix anything. This was a person. He  was sort of selfish in bed. This was a person. He  had a personal injury lawsuit working its way through the courts. This was a person. She was a scout leader.  She loved rollerblading. This was a person. He was a Mac evangelist. This was a person. She talked during movies. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. She played piano. She loved oreos. This was a person. He was the unofficial relationship guru among   friends. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. He wore bow ties. This was a person. She had bonsai trees. This was a person. He wore a lot of hats.  This was a person. He loved cigarettes. This was a person. She just had the bandages removed from  plastic surgery. This was a person. She never carried cash. This was a person. He was rough and tumble. This was a person. She had a sexy phone voice. This was a person. He plays fantasy football. This was a person. He plays fantasy football. This was a person. She was always in a hurry. This was a person. He brought great food to social gatherings. This was a person. He was a skilled woodcarver. He was divorced. This was a person. He helped people. This was a person. She always had a clean car. This was a person. She was 4 days sober. She  had VD. This was a person. He played World of Warcraft This was a person. He spent a lot of time with old people. This was a person. He was good to people. This was a person. He could play harmonica. This was a person. He was afraid of heights. This was a person. He could play harmonica. This was a person. He was a wedding photographer. He ate a lot of fiber. This was a person. He had braces on  his  teeth. This was a person. He had extensions. He has four overdue books.  This was a person. He was polite to telemarketers. He sang. This was a person. She  was a drunk. This was a person. She spent a lot of time with old people. This was a person. He was always in a hurry. This was a person. He was a trivia master. This was a person. He was polite to telemarketers.

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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