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This study was conducted with the aim of analysis and classification development of social services and  welfare in Counties of Khorasan Razavi province. This research is Basic and methods it has been used in the descriptive analysis. Statistical population Counteies of Khorasan Razavi Province and collecting method Information from the type of library entrance, and collected according to the research objectives of forms based on data tables and Statisticsin 2011, During which 19 files Welfare indicators extracted and slightly way by using Fuzzy Technique for Order Preference by Similarity to Ideal Solutionand was performed using SPSS software Level of development Counties of KhorasanRazavi province. The findings of this study describes unbalanced aspect of health field, Shows existence of a deep gap region in Khorasan Razavi province. So that the distribution and population access clients each County welfare services, Show that the only counties Gonabad, TorbatHeydarieh and Neyshabour have acceptable level of development and in other Counties ratio distribution facilities to distribution of the population covered it is unacceptable and deplorable. As far as that more than half of the Counties of Khorasan Razavi were subjected in the category of deprived areas in field of access to facilities and welfare services

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The statistical population of this study is all farmers in Garmsar County, which according to the statistics of the Agricultural Department, the number of them is 5675 people. Of these, 366 people were selected randomly according to the Cochran formula, and information were gathered through a researcher-made questionnaire. The research method is quantitative and we have tried to use the multivariate modeling of structural equation to test the model derived from the theoretical framework of the research. The theoretical framework of research is the theory of peasant subculture and Bourdieu's theory of cultural, social and economic capital types. The findings show that experimental data support the theoretical model based on different types of processing indicators. Also, the assumptions that indicate a meaningful relationship between different types of capital and peasant subculture were confirmed, and those that emphasized the existence of a meaningful relationship between different types of capital and the attitude towards water use in agriculture were rejected. There is also a significant relationship between peasant subculture and the attitude towards water use in agriculture. According to the final result, various types of economic, cultural and social capital indirectly affect the attitude toward water use through the peasant subculture variables.