Investigating the Level, Pattern and Determinants of Accepting Immigrants in Tehran Neighborhoods during 2006-2011

Migration is a rational decision and it is made based on the comparing of the origin and destination circumstances. In this respect this phenomenon affected extremely by economic and social conditions. Tehran has better economic and social conditions compared to other cities of Iran. Therefore, it has been one of the major population attraction hubs. However, rate of Immigrant population absorption differs in each district and more specifically each neighborhood, because of the variety of socio-economic features in each of them. In this regard, we aim to study the migrations to different neighborhoods of Tehran and investigate the impact level of socio-economic conditions in attracting the migrants. We have employed secondary analysis of the 2011-2012 census data at the statistical domain level which have been analyzed using arc GIS and Spss. Description results of the research showed that gender patterns and rates of immigration are different in each neighborhood. Afterward, two-variable analysis results confirmed a significant relationship between social, economic and welfare characteristics of the neighborhood and immigration rate. All variables in the Final model of multiple regression showed more than 64% of immigration variance in Tehran neighborhoods. Result showed that Housing ownership, housing price and educational degree are the most important determinants of immigration in neighborhoods and have effective role in the attraction of immigrants.