Household: Difference between revisions
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'''Household''' generally refers to persons living together in a dwelling, whether or not those individuals constitute a nuclear or extended [[family]] in any culturally meaningful sense. Indeed, it is the distinction of household, as those living together, from family, in the sense of those related to one another in some sense, which gives the household concept much of its meaning and importance. The household is a basic unit of analysis in a variety of social science disciplines particularly [[economics]], [[geography]], [[demography]] and [[sociology]], and is important in many social scientific and government statistical and data models. | '''Household''' generally refers to persons living together in a dwelling, whether or not those individuals constitute a nuclear or extended [[family]] in any culturally meaningful sense. Indeed, it is the distinction of household, as those living together, from family, in the sense of those related to one another in some sense, which gives the household concept much of its meaning and importance. The household is a basic unit of analysis in a variety of social science disciplines particularly [[economics]], [[geography]], [[demography]] and [[sociology]], and is important in many social scientific and government statistical and data models. | ||
==See also== | ==See also== | ||
* [[great house]] | * [[great house]] | ||
Revision as of 15:00, 3 November 2007
Household generally refers to persons living together in a dwelling, whether or not those individuals constitute a nuclear or extended family in any culturally meaningful sense. Indeed, it is the distinction of household, as those living together, from family, in the sense of those related to one another in some sense, which gives the household concept much of its meaning and importance. The household is a basic unit of analysis in a variety of social science disciplines particularly economics, geography, demography and sociology, and is important in many social scientific and government statistical and data models.