The Assessment of Physical and Social Housing Indexes in Determine of Predominantly Poor Blocks Using Factor Analysis Model (Case Study: Kermanshah City)

Poverty in Iran is developing like other countries, and makes a lot of troubles to the cities. Kermanshah as an enormous city faces with poverty. In this study, we have considered the skeletal pathology of this city. The purpose of this study understands the condition and features of dwelling to make some exact study of damages. Research method is quantitative analytic, we have applied the statistical blocks information in 1385 and 9 indices including: fancily dimension, population in houses, pure head- money, gross head- money, pure accumulation, deal of urban population, population residential compression, fancily population in any house, individual population in house. They have classified to three indices using statistical methods and analyzed using Arc/GIS software. Statistical population is Kermanshah city in 1385. Results show that Kermanshah has 1718 blocks that is 21/1 percent too rich population. 1149 blocks that is 1411% rich, 3475 blocks, i.e. 42/7% in average level, 1224 blocks, i.e. 15/1% poor, and 529 blocks i.e. 6/5% very poor population. These results just applied indices. One of the evaluations of poverty is dwelling. Suitable dwelling means not to be so crowded. In general, poverty in cities of Iran is obvious. So, in this study, we show poverty in Kermanshah as a symbol of physical reflection of social inequality emphasizing on quantitative indices. House is the first need of a family, in developing country, just limited number of people could gain suitable dwelling. Poor social groups always have a lot of troubles to make a good dwelling. So, they dwell in some places which have a lot of population, thus, they become poor. Poverty cycle in Kermanshah obviously shown, as a result we analyzed all these indices.