This paper quantifies the effect of an increase in temperature and precipitation on the average output per worker in the Colombian manufacturing industry. In order to address this issue with rigor, a methodology has been developed using a theoretical model and an empirical estimation. The estimation of the empirical model was made with economic data from the Annual Survey of the Manufacturing Industry, the Monthly Manufacturing Sample and climate data from IDEAM. The results show evidence that temperature (- 0.3% / + 1%) has a negative effect and precipitation (+0.03%/ + 1%) has a positive effect on average output per worker. The results build on previous literature arguing that worker's productivity is a channel through which climate and climate change affect economic performance.