BACKGROUND AND AIM[|]Higher residential greenness has been associated with improved birth outcomes. However, limited knowledge exists regarding the role that greenspace morphology plays. This study investigates the association between preterm birth and residential greenspace morphology, including percentage, shape, connectedness, aggregation, closeness, and fragmentation.[¤]METHOD[|]We evaluated 2,063,444 singleton live births from Georgia, United States, during 2000-2016. Landscape metrics assessed greenspace characteristics at the census tract level, utilizing 30-meter resolution landcover data from the National Land Cover Database (2001-2016. A two-stage logistic regression analysis identified associations between each greenspace feature and preterm birth, adjusted for maternal characteristics. Stratified analyses considered maternal demographics, neighborhood socioeconomics, and overall greenness.[¤]RESULTS[|]Enhanced greenspace characteristics (higher percentage, improved aggregation and closeness, increased shape complexity, and connectedness, along with reduced fragmentation) associated with lower preterm birth risks. While poverty rate adjustments diminished some associations, a notable reduction in fragmentation (OR: 0.988, 95% CI: 0.976, 0.999) remained protective of preterm birth. Strongest effects were seen among Black mothers and in high poverty areas. Specifically, greater greenspace percentage (OR: 0.962, 95% CI: 0.933, 0.991), better aggregation (OR: 0.969, 95% CI: 0.947, 0.992), and lesser fragmentation (OR: 0.973, 95% CI: 0.955, 0.991) were beneficial. In high poverty tracts, benefits were observed with increased greenspace percentage (OR: 0.953, 95% CI: 0.910, 0.999), aggregation (OR: 0.976, 95% CI: 0.955, 0.997), and reduced fragmentation (OR: 0.976, 95% CI: 0.958, 0.994). The most pronounced association with greenspace morphology occurred in tracts with a medium greenspace level.[¤]CONCLUSIONS[|]This research underscores the protective effects of varied greenspace morphology, especially in areas with moderate greenspace levels, high poverty rates, and among Black mothers. The findings advocate for nuanced greenspace planning to cater to the specific greenness levels in different locales.[¤]