[Objectives]  To provide basic data and theoretical models for the population forecasting of stored grain psocids. [Methods]  Population growth models of Liposcelis entomophila (Enderlein) were built under different environmental conditions. On the basis of age-stage life tables of L. entomophila constructed in the laboratory, the effects of temperature, relative humidity, food breakage level and initial population number on population dynamics were evaluated. Exponential growth models of L. entomophila population were validated and the functional relationship between temperature, humidity and intrinsic rate of increase was modelled. [Results]  Within a temperature range of 26-34°C, relative humidity of 65%-85% and a food breakage level of 4%-12%, temperature and relative humidity had significant effects on the developmental duration of L. entomophila, but not on the population trend index, net reproduction, or the intrinsic rate of increase. Temperature was the most important factor in the population growth of L. entomophila, followed by relative humidity and food breakage level. The optimum conditions for population growth are 34°C, 85% relative humidity and 12% food breakage. With an initial population density of 0.26-1.04 adults/cm², an exponential growth model can be used to describe population growth. [Conclusion]  Within a temperature range of 22-34°C and a relative humidity of 65%-85%, the relationship between temperature, humidity and population dynamics of L. entomophila can be expressed as N_t=N₀EXP[(0.00296T+0.02167RH-0.0372)t].