Replication data for "Experienced climate change impacts help explain subjective well-being. Evidence from 14 nature-dependent communities"

This dataset was created in order to document the analysis of the manuscrit "Experienced climate change impacts help explain subjective well-being. Evidence from 14 nature-dependent communities". Climate change profoundly affects well-being in complex and interconnected ways. However, the relationship between climate change and well-being has been explored in only a handful of settings, most of which are industrialized. Here, we investigate the association between perceived climate change impacts, their severity, and subjective well-being, measured as life satisfaction. Using cross-culturally comparable first-hand reports from 2,488 participants across 14 nature-dependent communities, we find a negative association between site-aggregated life satisfaction and three metrics of climate change: perceptions of local impacts, reported severity, and an instrumental index. Within sites, individual-level associations between perceived severity of climate change impacts and life satisfaction are weak or absent, which could indicate that the between-site correlation reflects the overall exposure and vulnerability of each site to climate change. Further analysis suggests that site-level characteristics play a crucial role in shaping these patterns. Our findings offer a nuanced understanding of how climate change impacts relate to well-being, emphasize the multi-dimensional character of climate change impacts and underscoring the importance of local context in shaping these relationships.