Most banks have automated consumer credit scoring systems. These rely on the use of statistical data to determine likely risk of default. Non- quantitative factors that will be taken into amount include location, type of residence (house or apartment), rented or owned, children, and highest education qualification. An unmarried actor living in a rented apartment who dropped out of school may well be deemed a higher credit risk than a married lawyer with two children living in a townhouse she owns. This is likely to be the case even if the actor earns significantly more than the lawyer.
In the US there is a body of legislation intended to protect consumers from discrimination by prohibiting banks from making credit decisions on a number of grounds including race, gender and location. This is the exception rather than the rule. In most countries banks make such decisions with few legislative constraints.
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