

Note that this block group includes a stadium and a park. “With a $20,391 median household income, residents tend to earn less than 97% of the block groups nationally. Finally, a high proportion (about 56%) of the surveyed residents were not in the labor force (top 7% nationally). The details: “31% of the households surveyed in this block group in Kansas City lived with less than $10,000 a year, a proportion higher than 98% of U.S. Predicted violent crime rate: 304 crimes per 1,000 residents Kansas City, Missouri: Block group delimited by E. This block group is also characterized by a high predicted property crime rate.” block groups), and a high number of households earning less than $10,000 a year in the neighboring block groups (more than in 98.4% of the U.S.).

Some associated factors include a high percentage of males in the area (61%), and a relatively low median age (lower than 77% of the U.S. block groups-it is considered as a high risk because of high violent crime count and violent crime rate. “In spite of a high median household income of $158,958 per year -which is more than 97% of U.S. The details: “This block group crossed by Highway 80, located downtown San Francisco, comes fourth in our ranking,” says de Bonviller. Predicted violent crime rate: 298 crimes per 1,000 residents 9th / Brennan / 10th / Bryant / 11th St., Harrison St., 6th St., and Townsend St. San Francisco: Block group delimited by Division St. 9th / Brennan / 10th / Bryant / 11th St.
Worst crime ever committed in america free#
For people who are moving from one city to another, Augurisk’s public county risk assessment can provide free insights into their new county, while people acquiring a new property can use the Augurisk website to generate a free natural disaster and societal risk report, to make sure the property is not at risk. Read on for more details about the most dangerous neighborhoods in America. Moreover, we were surprised to notice the high occurrence of block groups located on the West Coast in the ranking, including in Los Angeles and San Francisco.” Subsequently, we therefore used the number of crimes committed as an additional criterion. If the population is low, then crime risk can be overestimated when using such an indicator. were found to be parks, airports and other busy places with low to no population. “Initially, when we were exclusively focusing on crime rate, the most dangerous places in the U.S. Nevertheless, de Bonviller says that the he and team at Augurisk were surprised by the results-especially by the high number of dangerous neighborhoods in California. Thus, we use predictions of the crime expected by our algorithm given 188 predictors related to a place, not past crime-as in the mentioned rankings-which can explain some differences.
“The result was used to generate this ranking. cities between 20, including Detroit,” says de Bonviller. “This algorithm was trained using the exact location and type of crimes committed in 11 U.S. Another explanation: Augurisk trained a machine learning algorithm to predict crime occurrences based on 188 predictors (including socioeconomic, demographic, climatic and law enforcement variables, among others).
