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Abstract Background The work of the WHO Commission on the Social Determinants of Health has been fundamental to provide a conceptual framework of the social determinants of health. Based on this framework, this study assesses the relationship of income inequality as a determinant of neonatal mortality in the Americas and relates it to the achievement of the Sustainable Development Goal target 3.2 (reduce neonatal mortality to at least as low as 12 deaths per 1,000 live births). The rationale is to evaluate if income inequality may be considered a social factor that influences neonatal mortality in the Americas. Methods Yearly data from 35 countries in the Americas during 2000–2019 was collected. Data sources include the United Nations Inter-agency Group for Child Mortality Estimation for the neonatal mortality rate (measured as neonatal deaths per 1,000 live births) and the United Nations University World Institute for Development Economics Research for the Gini index (measured in a scale from 0 to 100). This is an ecological study that employs a linear regression model that relates the neonatal mortality rate (dependent variable) to the Gini index (independent variable), while controlling for other factors that influence neonatal mortality. Coefficient estimates and their robust standard errors were obtained using panel data techniques. Results A positive relationship between income inequality and neonatal mortality is found in countries in the Americas during the period studied. In particular, the analysis suggests that a unit increase in a country’s Gini index during 2000–2019 is associated with a 0.27 (95% CI [− 0.04, 0.57], P =.09) increase in the neonatal mortality rate. Conclusion The analysis suggests that income inequality may be positively associated with the neonatal mortality rate in the Americas. Nonetheless, given the modest magnitude of the estimates and Gini values and trends during 2000–2019, the findings suggest a potential limited scope for redistributive policies to support reductions in neonatal mortality in the region. Thus, policies and interventions that address higher coverage and quality of services provided by national health systems and reductions in socio-economic inequalities in health are of utmost importance.

Objective. To analyze temporal trends and inequalities in neonatal mortality between 2000 and 2020, and to set neonatal mortality targets for 2025 and 2030 in the Americas. Methods. A descriptive ecological study was conducted using 33 countries of the Americas as units of analysis. Both the percentage change and average annual percentage change in neonatal mortality rates were estimated. Measurements of absolute and relative inequality based on adjusted regression models were used to assess cross-country social inequalities in neonatal mortality. Targets to reduce neonatal mortality and cross-country inequalities were set for 2025 and 2030. Results. The estimated regional neonatal mortality rate was 12.0 per 1 000 live births in 20002004 and 7.4 per 1 000 live births in 2020, representing a percentage change of 38.3% and an average annual percentage change of 2.7%. National average annual percentage changes in neonatal mortality rates between 20002004 and 2020 ranged from 5.5 to 1.9 and were mostly negative. The estimated excess neonatal mortalityin the 20% most socially disadvantaged countries, compared with the 20% least socially disadvantaged countries, was 17.1 and 9.8 deaths per 1 000 live births in 20002004 and 2020, respectively. Based on an extrapolation of recent trends, the regional neonatal mortality rate is projected to reach 7.0 and 6.6 neonatal deaths per 1 000 live births by 2025 and 2030, respectively. Conclusions. National and regional health authorities need to strengthen their efforts to reduce persistent social inequalities in neonatal mortality both within and between countries.