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Housing is the first space-tested experience in human relationships and the physical context is a mixed in which social resources, culture and economy In addition housing to meet growth the social sector their housing, it also includes unit environment, In addition housing to meet growth the social sector their housing, it also includes unit environment. Considering the housing quality indicators of access providers to sustainable housing and sustainable housing provides to achieve sustainable city. The growing housing demand of one-dimensional and quantity-oriented approach to housing has caused enough attention to the fundamental issue of housing quality. Lack of access to adequate housing, can cause or increase the incidence of mental disorders and the various problems. Therefore this study attempts to identify the variables and factors affecting the quality of housing, and influencing the indicator housing quality ratings  with assuming a non-uniform weighting of indicators and factors. The investigate methods purpose of this study was to use, and methods of research - descriptive analysis. In order to achieve the desired goal in the research of network analysis (Anp) are used to determine the weights and priorities - ranking each indicator of housing quality components Based on the evaluation of the indicators using network analysis results indicate that the index of indices of housing facilities (.318), home security (.218) home comfort (0.145), proximity Bakarbry compatible (0.142), housing strength (0.109) and housing compatible with Region (0.065) have the highest weight assigned to theme.
 

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Research goall is survey in the situation of quality of housing and rural vitality and survey of relationship of housing quality and vitality of rural settlements. The population of research is Khawmirabad county (Kurdestan Province, Mariwan Township) with 2737 households. Research method is analytical –description based on questionnaire and it is applicable research . In order to gathering the data we used documentary and field method and interviews and questionnaire based on Likert scale(five – range opinion)has been used. In order to sampling we used random sampling and by using of Cochran formula that sample size is equal to 290 households. In order to analysis of data’s from questionnaire, we used both of Descriptive (mean and deviation) and Inferential(One sample T, Linear regression, Chi- square) Statistics. The results of this study indicate a low level of economic dimensions (2.34) and political (2.97), vitality and quality of housing than the average (2.74). This difference is statistically significant at the alpha level 0.01 numerical difference utility as evaluation and assessment is negative. The results also show that the greatest impact of the quality of housing is on the social dimension with a beta coefficient of 0/570 and the lowest on the economic dimension with 0/077 beta coefficient.

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