In the past few years, the Republic of Croatia has followed the tendency of increasing the number of visitors and overnight stays in tourism. This paper investigates and analyses the data with the aim of creating a microeconometric model of the number of visitors to NP Plitvice Lakes based on the number of nights spent by domestic and foreign guests in hotels and private accommodation for the period from May to September 2007 to 2017. Econometric model is modelled with ordinary least squares method (OLS). The results of the analysis show that the number of visitors to the National Park highly depend on the number of foreign guests staying at the Macola Hotel, overnight stays by domestic guests in private accommodation and overnight stays by foreign guests in private accommodation, which is in line with previous papers on the impact of the number of overnight stays in accommodation units on visiting tourist destinations. If we look at the corrected coefficient of determination as an indicator of the significance of the model 87,8% of the dependent variables, the number of visitors to NP Plitvice Lakes has been successfully explained by independent variables. The model is correctly specified by residual distribution normality tests (Jarque-Bera and Doornik Hansen test), Durbin-Watson autocorrelation residual test, and White and ARCH heteroskedasticity tests.