Background and Objective:
This study proposes a summary index for monitoring the health-related SDG’s indicators in Brazilian municipalities, enabling both the interiorization of the 2030 Agenda in the territory, reducing inequalities in the space, and its effective adoption in policymaking.

Methods:
The ecological study comprises 23 SDGs health indicators for the 5570 municipalities of the country analyzed in the period between 2015-2021. The empirical Bayesian rate was adopted to smooth each data series due to the spatial effect previously detected. The annual municipal index and 7 thematic subindexes (maternal health; infant health; non-communicable diseases; infectious diseases; injuries/violence; environmental; coverage) were standardized from 0 (worse performance) to 100 (best performance). Each are weighted by symmetrical regional-level indexes. The municipalities are ranked according to the level of sophistication of the local health equipment.

Results:
Four main regional health profiles were identified in the country: (i) the north region is characterized by low technological complexity and huge gaps in most health topics; (ii) the Northeast presents the highest spatial disparities in the country; (iii) the south the highest thematic disparities, with the country’s best profile on maternal and child health themes and the worst in some infectious diseases and topics of violence and injuries; finally, (IV) the Southeast and Midwest regions present the best overall infrastructure of health in the country, which reflects on the index.

Conclusion:
The evaluation of the health SDGs at disaggregated levels requires the recognition of the spatial dependence of health phenomena. Indeed, both health and disease seem less local than a regional phenomenon in the country’s territory. By enabling the continuous monitoring of the indicators over time, the methodology developed opens new paths for the achievement of the SDGs.