This study addresses the lack of local-level spatial analyses of Covid-19 in Romania by examining infection rates in administrative units (cities, towns, communes) from March to May 2021. Using global and local Moran I coefficients, significant clustering in infection rates is identified. Spatial smoothing and regressions reveal that these clusters are influenced by local development levels, measured through unemployment rates and the Local Human Development Index. The results highlight the characteristics of Romania's 3rd wave, marked by a quadratic trend.