Neighborhood decline is a complex and multidimensional process. National and regional variation in economic and political structures (including variety in national welfare state arrangements), combined with differences in neighborhood history, development and population composition, makes it...

Neighborhood decline is a complex and multidimensional process. National and regional variation in economic and political structures (including variety in national welfare state arrangements), combined with differences in neighborhood history, development and population composition, makes it...

This study uses vulnerability assessment data collected by the UNHCR, WFP, and UNICEF from Syrian refugees in Lebanon, a country that hosts an estimated 1.5 million refugees from neighboring Syria and the highest per capita proportion of refugees in the world. The data are used to construct a...

China's impressive growth has been accompanied by huge rural-urban divide and social sacrifice of many including rural-urban migrants. Reflecting on the documentary 'Last Train Home' (2009) by Lixin Fan, this paper identifies and examines the life of rural-urban migrants in China in terms of...

The portion of the South known as the Black Belt lies at the heart of what was once the cotton-and-tobacco plantation region and retains a large black population. Despite the Black Belt's high poverty rates and relatively slow economic growth, its large net loss of blacks to urban areas over the...

We develop and assess two inter-area cost-of-enough-food indices using nationally representative data from the Current Population Survey Food Security Supplements on how much households say they would need to spend to just meet their food needs. We calculate the indices for 470 geographic areas...

The recent COVID-19 pandemic and the expected increase in global crises threaten to push millions into poverty. Enhanced collaboration between humanitarian and development actors is critical to responding effectively and holistically to the needs of the world’s most vulnerable persons. As...

Increasing trends in forced displacement and poverty are expected to intensify in coming years. Data science approaches can be useful for governments and humanitarian organizations in designing more robust and effective targeting mechanisms. This study applies machine learning techniques and...

Neighborhood decline is a complex and multidimensional process. National and regional variation in economic and political structures (including variety in national welfare state arrangements), combined with differences in neighborhood history, development and population composition, makes it...

This paper considers techniques for measuring the prevalence of income poverty within small areas, or "neighbourhoods", in Britain. The ultimate purpose is applying such statistics to investigating how the micro-spatial distribution of poverty within cities and regions changes over time as a...