Relationship Between Maternal Mortality and ZIP Code in New Jersey

Maternal mortality remains a pressing public health concern in the United States, with significant disparities influenced by geography and social determinants of health. This study investigates the relationship between zip code-level factors and maternal mortality rates (MMR) in New Jersey (NJ), a state with demographic and socioeconomic diversity. Using data from the NJ Department of Health, CDC, and recent literature, I identified patterns correlating higher MMR with areas experiencing poverty, limited access to healthcare, and predominantly minority populations. Counties such as Essex, Union, and Cumberland—classified as Health Professional Shortage Areas (HPSAs) and Medically Underserved Areas (MUAs)—exhibited particularly high vulnerability. These findings clearly show the need for zip code-targeted public health interventions that address systemic healthcare inequities and improve maternal care access in NJ’s most affected communities.

Publication Details

Journal
Rowan Digitals Works (Rowan University)
Published
2025-05-01
Primary Topic
Thermal Analysis in Power Transmission
Type
article
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article

Relationship Between Maternal Mortality and ZIP Code in New Jersey

Rowan Digitals Works (Rowan University)
Thermal Analysis in Power Transmission
article

Relationship Between Maternal Mortality and ZIP Code in New Jersey

article en

Abstract

Maternal mortality remains a pressing public health concern in the United States, with significant disparities influenced by geography and social determinants of health. This study investigates the relationship between zip code-level factors and maternal mortality rates (MMR) in New Jersey (NJ), a state with demographic and socioeconomic diversity. Using data from the NJ Department of Health, CDC, and recent literature, I identified patterns correlating higher MMR with areas experiencing poverty, limited access to healthcare, and predominantly minority populations. Counties such as Essex, Union, and Cumberland—classified as Health Professional Shortage Areas (HPSAs) and Medically Underserved Areas (MUAs)—exhibited particularly high vulnerability. These findings clearly show the need for zip code-targeted public health interventions that address systemic healthcare inequities and improve maternal care access in NJ’s most affected communities.

Rowan Digitals Works (Rowan University)
No poverty
Openalex Percentile: Top 44%
Thermal Analysis in Power Transmission
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