In this study, seismic vulnerability of Italian masonry buildings is analyzed taking advantage of the post-earthquake damage data recently released by the Italian Department of Civil Protection through the online platform Da.D.O. (Dolce et al. 2019).

The main purpose of the study is to describe the damage attitude of several building’s typologies, univocally defined by means of structural and geometrical features. To this aim, a time-consuming data processing has been performed to obtain a more effective taxonomy, based on masonry quality layout, type of horizontal structure, presence/absence of retrofit interventions, construction age and number of storeys.

Moreover, to avoid bias in vulnerability analysis, the most reliable datasets has been detected through a comprehensive data analysis, also integrating the original database with census data. Then, damage analysis has been done, converting the damage observed on vertical structures in 5+1 damage levels of the whole building according to the European Macroseismic Scale classification. ShakeMaps in terms of peak parameters released by National Institute of Geophysics and Volcanology are also considered to characterize ground motion shaking at each building's location. Lastly, a lognormal statistical model has been used to derive vulnerability curves for considered typologies, fully investigating the influence of each building’s feature on damage attitude.