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In the United States, the expansive manufacturing infrastructure, increase in consumerism, and the establishment of the Interstate Highway System set forth the conditions for car dependence in communities. In 1956, the Highway Trust Fund [6] was established in America, reinvesting gasoline taxes back into car-based infrastructure.
Microstates such as San Marino, Andorra and Liechtenstein have high rates of car ownership. Countries and territories listed by the number of road motor vehicles per 1,000 inhabitants are as follows. Population figures are from the United Nations Statistics Division unless otherwise specified. [1]
Additionally, as car tires wear down, they shed the materials they are made of into the air as particulate pollution. [10] Those pollutants are known to cause various respiratory and other health issues and cars are among the leading cause of smog in modern developed world cities. External costs which can arise from using cars and trucks in ...
The United States is commonly regarded as a car-centric country, with cars being a dominant American mode of transport. U.S. infrastructure and road rules tend to privilege cars over other road users such as cyclists and pedestrians. Cars have been a major component of American culture, particularly since the 1950s. [6] [7]
This situation is reflected in most other Western nations. For the average car owner, depreciation constitutes about half the cost of running a car. [3] The typical motorist underestimates this fixed cost by big margin, or even ignores it altogether, according to a survey by the RAC. [6] There are a number of reasons for the high cost of car ...
In developing nations, statistics may be grossly inaccurate or hard to get. Some nations have not significantly reduced the total death rate, which stands at 12,000 in Thailand in 2007, for example. [49] In the United States, twenty-eight states had reductions in the number of automobile crash fatalities between 2005 and 2006.
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In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistics it usually refers to the degree to which a pair of variables are linearly related.