| Summary: | The aim of this study was to investigate how temperature and precipitation are associated with the number of referrals for physical therapy. Material and Methods: Weather data and monthly referrals were collected retrospectively for three years (2020–2022). A total of 937 referrals were studied. Trend analysis was conducted to identify patterns and trends in data over time, including correlation analysis to discover relationships and multivariate linear regression analyses to model the direction and strength of this. Results: Monthly referrals were found to be strongly associated with weather indicators (r<sub>s</sub> = −0.744, <i>p</i> < 0.001 for temperature and r<sub>s</sub> = 0.894, <i>p</i> < 0.001 for precipitation). Multivariate regression analyses verified this significant correlation (b = −0.763, <i>p</i> < 0.025 and b = 0.598, <i>p</i> < 0.001, respectively). A stronger correlation was found for female referrals (b = 0.509, <i>p</i> < 0.001) compared to that found for male referrals (b = 0.089, <i>p</i> < 0.001). Conclusion: Low temperatures and high precipitation rates were found to be associated with an increased number of referrals. Females were more vulnerable to precipitation increases.
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