The present paper tries to investigate the relevant determinants of rural to urban migration in large agglomerations/cities in India. OLS regression analysis is used in this paper to analyse data pertaining to 51 large cities in India by using data from Census of India and unit level data of National Sample Survey (NSS) on employment and unemployment and consumption expenditure data. The OLS regression results show that city-wise employment and unemployment situation (measured by male self employed, not in labour force male, male casual labourer) have a negative impact on city level rural to urban migration. The level of poverty (measured by poverty head count ratio) and inequality conditions (measured by Gini coefficients) of a city also has a negative impact. However, infrastructure condition (availability of total number of electricity connection) of a city has a positive impact on city-wise rural to urban migration. Economic conditions also matters higher level of rural to urban migration. Finally, it suggests that cities need to equip themselves with better infrastructural facilities along with higher job opportunities to encourage urbanization through rural-urban migration for higher and sustainable economic growth in India.
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