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Comparing Urban and Rural Quality of Life in the State of Washington

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Part of the book series: Social Indicators Research Series ((SINS,volume 45))

Abstract

In the USA, Washington is a highly urbanized state with about three quarters of its population residing in just seven of thirty-nine counties. In the 1970s, urban residents were less satisfied with their quality of community life (QOL) compared to residents in rural communities. This presented somewhat of a paradox because urban residents had better overall objective conditions, such as higher levels of education and income. In this chapter, QOL in Washington is revisited to determine if the urban–rural paradox has persisted and which factors influence perceived differences in QOL. Data on the objective indicators of QOL in Washington indicate that the gap has widened between urban and rural counties since the 1970s, in which urban counties have become more advantaged. The authors conducted the 2008 Washington Community Survey (WCS), a general public household survey, to obtain measures of subjective QOL in urban and rural communities, as well as demographic characteristics. Survey results show that the trend in perceived QOL has reversed, with urban residents more satisfied with the QOL in their community compared to rural residents in Washington. In addition, the authors identify several community- and individual-level characteristics that significantly influence the perceived QOL in each region and propose a way of crafting state policies that accommodates urban–rural differences in the state.

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Notes

  1. 1.

    Urban counties were distinguished by total population, population density, and location (refer back to Fig. 14.1 above). The urban counties in Washington – Clark, King, Kitsap, Pierce, Snohomish, Spokane, and Thurston – all have populations greater than 200,000, population ­densities greater than 250 persons per square mile, and contain or are located adjacent to large ­cities greater than 150,000 people. (Two counties – Kitsap and Thurston – have relatively smaller populations but have large population densities with relatively large cities; each county also ­borders other urban counties.) All non-urban counties, on the other hand, fail to meet these criteria and range in population from just a few thousand to nearly 200,000 with population densities from 3 persons per square mile to about 95 persons per square mile. (Most of these counties are comprised of large rural areas, but some also have medium to small size cities of less than 100,000 and/or relatively dense residential areas that serve nearby urban centers.)

  2. 2.

    Odds ratios are a measure of the odds of being in or selecting a certain outcome (for example, mostly/completely satisfied vs. somewhat/not at all satisfied) for every one unit increase in an independent or explanatory variable (e.g., place of residence, distance traveled from residence, satisfaction with aspects of community, etc.). An odds ratio of 1.00 indicates that there is no ­difference between the odds of being in the outcome category and the odds of the not being in that outcome category. An odds ratio greater than 1.00 indicates that the odds of being in the outcome category are better or greater than the odds of not being in that outcome category while the ­opposite is true for odds ratios smaller than 1.00. For example, in Table 14.3, Model 1, the odds ratio of 0.82 demonstrates that the odds of non-urban residents being mostly or completely satisfied with their community is 18% lower than the odds of urban residents being mostly or completely satisfied with their community. Similarly, in Table 14.3, Model 2, the odds ratio of 1.14 for the “medical care” variable demonstrates that a one-unit increase in satisfaction with medical care increases the odds of being satisfied with the community by 14%. In other words, respondents choosing “somewhat satisfied” with medical care in their community are 14% more likely to be satisfied with their ­community than those respondents choosing “not at all satisfied” with medical care, controlling for other variables in the model; those choosing “mostly satisfied” with medical care are 14% more likely to be satisfied with their community than those choosing “somewhat satisfied” with medical care, and so on.

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Messer, B.L., Dillman, D.A. (2011). Comparing Urban and Rural Quality of Life in the State of Washington. In: Marans, R., Stimson, R. (eds) Investigating Quality of Urban Life. Social Indicators Research Series, vol 45. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1742-8_14

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