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Disaster Casualties Visualization Tool: Kfar Etzion Massacre: 1948

129 Dead Men and Women

The Kfar Etzion massacre was a massacre of 129 Jews by the Arab Legion on May 13, 1948, the day before the Israeli Declaration of Independence.

This was a person. He took a lot of photos. This was a person. She  was kind of an awesome lover. She  was a street vendor. This was a person. He didn't have a family. He  was sleeping with  his  ex. This was a person. She was polite to telemarketers. She had crazy hair colors. This was a person. She was polite to telemarketers. This was a person. She  scalped tickets This was a person. She  was a pharmacist. This was a person. He  was kind of an awesome lover. He  scalped tickets This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. He  had VD. This was a person. She  was learning to use CAD software. She was afraid of heights. This was a person. He  was a DJ. This was a person. He was a scout leader.  He had just paid a crapload of money to get    teeth fixed. This was a person. He threw a lot of parties. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She was the unofficial relationship guru among   friends. This was a person. He knew a lot of cops. He was divorced. This was a person. He was a dog person. He was allergic to peanuts. This was a person. She ate the food at convenience stores. This was a person. He  always bought flowers for  his  desk. This was a person. He prefered bread without crusts. This was a person. She  scalped tickets This was a person. She went to the horseraces. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. He helped strangers. This was a person. He snored. This was a person. She  had a hangover yesterday. She  was a street vendor. This was a person. She chewed nicotine gum. This was a person. She wore a lot of hats.  This was a person. She  was afraid of flying. This was a person. He was very careful about conserving gasoline. This was a person. She talked during movies. This was a person. He couldn't grow a mustache. This was a person. 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She  was a drunk. This was a person. He could fall asleep anywhere. He threw a lot of parties. This was a person. He never drank coffee. This was a person. She had extensions. This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. He was a scout leader.  He excelled at woodworking. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  was playing nine games of Words with Friends on  her  phone. This was a person. He did not own a fridge. This was a person. He was left-handed. This was a person. She couldn't grow a mustache. This was a person. He could juggle. This was a person. He never raised  hisvoice. He always brought lunch. This was a person. She had a lot of Beatles records. This was a person. She was an expert barbecuer. This was a person. She loved pot. This was a person. He did not own a fridge. This was a person. She had a bunch of cameras. 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This was a person. He  had VD. This was a person. He  was a tailor. He was a trivia master. This was a person. He had braces on  his  teeth. He watched a lot of sports on TV, but never played them  himself. This was a person. He can't watch the end of T2 without crying This was a person. He could play cricket. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He  had VD. He was an awful driver. This was a person. She was 4 days sober. This was a person. He could fall asleep anywhere. He lived on breakfast bars. This was a person. He  was a plumber. This was a person. He was very good at cleaning. This was a person. He got thrown off of a golf course. He wore bow ties. This was a person. She was very careful about conserving gasoline. This was a person. She was a wedding photographer. She was gluten intolerant. This was a person. She  was learning to use CAD software. This was a person. She was a glassblower. This was a person. She could play harmonica. This was a person. He was a secret Buddahist. This was a person. He wore Spandex. This was a person. She  was a translator. This was a person. She was afraid of heights. This was a person. She made pie. This was a person. He tutored kids. This was a person. He always wore a hat. This was a person. He made scrapbooks. This was a person. He took careful notes after every meal. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He ate a lot of raisins. This was a person. He loved cigarettes. This was a person. He prefered bread without crusts. He ate a lot of chinese food. This was a person. He  was a tailor. This was a person. She ate a lot of raisins. This was a person. She can't watch the end of T2 without crying This was a person. She tutored kids. She didn't get along with animals. This was a person. He wore a lot of hats.  He has four overdue books.  This was a person. She was a vegetarian. This was a person. She was gluten intolerant. This was a person. She had a twin. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She loved James Bond movies. This was a person. She had a sexy phone voice. She loved rollerblading.

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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