Leveraging national surveys, big-data advances and machine learning, Cornell researchers have piloted a new approach to mapping poverty that could help policymakers identify the neediest people in ...

An international team has, for the first time, developed a way of combining anonymised data from mobile phones and satellite imagery data to create high resolution maps to measure poverty. The ...

One of the biggest challenges in providing relief to people living in poverty is locating them. The availability of accurate and reliable information on the location of impoverished zones is ...

For years, policymakers have relied upon surveys and census data to track and respond to extreme poverty. While effective, assembling this information is costly and time-consuming, and it often lacks ...

A team from the Complexity Science Hub and Central European University developed poverty maps of Sierra Leone and Uganda which visually identify poor areas with greater accuracy [Vienna, May 25 2023] ...

Multiple measures show poverty is holding its grip across Alabama. Maps produced by Al.com from three federal data sources show the prevalence of poverty in all the state’s counties – even those ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook In an interview with The Michigan Daily, Amanda Nothaft, director of data and evaluation at ...

We begin by providing a brief review of the poverty mapping literature that dates back to early 2000s. In a nutshell, estimates of poverty at the small area level are obtained by predicting household ...

Members of the California Poor People’s Campaign march on F Street near downtown Fresno to raise awareness on poverty in this April 2019 file photo. Across Fresno, Kings, Madera, Merced and Tulare ...

Use U.S. Census Bureau poverty data to compare states across more than a dozen topics that measure the health of the economy. The U.S. Census Bureau could not provide its typical state and ...