Climate adaptation planning at the municipal level in the United States is a rapidly expanding practice. Categorizing the actions these plans put forth will help planners understand the landscape of local climate adaptation. Determining what city characteristics predict higher scores can help planners and academics replicate best planning practices in other locales. This paper scores 27 United States municipal and tribal climate adaptation plans and categorizes their adaptation actions into 16 categories. This analysis then uses multivariate regression to examine the differences in plan action scores across communities. These regressions use four categories of city characteristics which determine adaptive capacity: vulnerability, governance, information, and economy. Plan scores are generally poor, with an average of 50% of all possible points. Plans most often mention capacity building, information and awareness, physical infrastructure, green infrastructure, and land use actions. Plans least often mention advocacy, practice and behavior, and research and monitoring adaptation actions. Experience of an extreme weather event in the past 10 years and presence of an adaptation plan at the state are positively correlated with plan scores. Increases in median household income are negatively correlated with plan scores. These results provide insight for other municipalities and scholars who are interested in increasing actionable goals in local climate adaptation plans by providing common plan strengths and shortfalls and a framework of city characteristics which predict plan score.