Using data from a survey of rural-urban migrants in a city in China, this paper investigates the relationships between migrant-resident ties and migrant integration. Migrant integration is assessed with respect to three dimensions: acculturation, socioeconomic integration and psychological integration. Migrant networks are divided into three categories: kin resident ties, non-kin resident ties and non-resident ties. The relation between resources embedded in migrant networks and socioeconomic integration is also examined by translating position-generator data into network resource indices. The results reveal that non-resident ties still make up the majority of migrant networks and migrant-resident ties are significantly associated with migrant integration. The roles of non-kin resident ties in migrant integration are more consequential. They have positive effects on all three dimensions. Considering the different effects of migrant networks on different dimensions of integration, many migrants risk being trapped in permanent poverty and falling into the underclass in city societies.Rural-urban migrants in China not only experience institutional discrimination, but are also stigmatised in various ways by urban societies (Wang et al., 2002;Li et al., 2007) and are far from being integrated into the mainstream of city societies. Previous research on both international and internal migrants has shown that social networks Zhongshan Yue is in the

With the population aging and urbanization in China, vulnerable older adults tend to show more complex characteristics, bringing great challenges to public health policies. Using China Longitudinal Aging Social Survey data 2014, this paper builds a comprehensive index system for the identification of vulnerable older adults from three dimensions, including health, economy, and social support, then divides older adults into four support levels and six small classes by using the typological method. The results show that older adults in urgent need of assistance or priority are those poor in health and economic conditions, 1.46% of them are highly vulnerable because of the lack of social support; 12.76% of them obtain a certain social support are moderately vulnerable; and 34.72% of them are slightly vulnerable with disadvantage in only one dimension. The geographic distribution of different types of vulnerable older adults varies significantly. The paper provides evidence to design more feasible and specific policies with comprehensive considerations for different types of vulnerable older adults residing in different regions.