Cell phone data reveals poorer people are less able to follow stay-at-home orders during COVID-19

June 2, 2021

Individuals living in poorer and less affluent neighborhoods spent less time at home during various COVID-19 lockdown orders, according to a new international study. After analyzing mobile data on millions of U.S. citizens, study authors say poorer families and households were unable to comply with pandemic safety recommendations as diligently as others due to financial and or employment-related considerations.

More specifically, researchers suggest such individuals had to venture outside either because they simply couldn’t afford to stay home or due to employment requiring on-site attendance. Considering that health officials already consider the vulnerable and poor to be at a higher risk for COVID-19, these findings are particularly troubling.

Sicheng Wang, a recent graduate of the Bloustein School’s Ph.D. program is a co-author of the study.

Study Finds, June 1, 2021

Recent Posts

Elizabeth (Libby) Vinson (MPAP ’02) Named CEO of NJACP

From New Jersey Business Magazine, July 15, 2025 Vinson Named CEO of NJ Association of Community Providers The New Jersey Association of Community Providers (NJACP), Ewing, the statewide not-for-profit organization that represents community-based providers who care...

From Fear to Freedom and Hope: Rafael Escalante (UG PP ’26)

Pursuing a college education and the American dream, Rafael Escalante departed the embattled South American nation and made his way to New Jersey Rafael Escalante escaped politically motivated persecution as a teenager in Venezuela to find his place – and a brighter...

NJSPL: Mapping Corporate Landlords in New Jersey

by Eric Seymour As part of our ongoing research project supported by the New Jersey State Policy Lab, we are examining the growth of corporate ownership in the state’s small residential property market. Our focus is on 1- to 4-unit properties, which, in addition to...

Samuel and Colleagues Examine the Rise of AI Phobia

Abstract Contemporary public discourse surrounding artificial intelligence (AI) often exhibits a disproportionate level of fear and confusion relative to AI’s factually documented capabilities and implications. This study examines how the systematic use of alarmist...

Ralph, Johnson-Rodriguez Research ASE Perceptions

Do perceptions of speeding act as a barrier to automated speed enforcement in the United States? Highlights Many American adults do not believe speeding is particularly dangerous. Yet 65% of respondents believe their community should vote for automated speed...