In practice, most demographic segmentation utilises a combination of demographic variables.
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But many media experts said it glossed over important demographic variables.
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Demographic variables include age, sex, race, ethnicity, and education, among others.
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The shapes of Engel curves depend on many demographic variables and other consumer characteristics.
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Demographic variables such as income and education were not related to experiences of racism.
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Age and gender are two of the most commonly used demographic variables used to segment markets.
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But this comparison is not valid, Clark said, because demographic variables like race, sex and age affect suicide rates.
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Using such statistics, communicators are able to segment their target audience, as consumer needs often correlate strongly with demographic variables.
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Weaker relationships are evident with demographic variables, prior achievement, coping approaches, and variables that reflect students psychological independence from their parents.
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For instance, a segmentation approach developed for New Zealand by Nielsen Research combines multiple demographic variables including age, life-stage and socio-economic status.
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