Statistical analysis of dew point temperature and other meteorological parameters are very important for climatic variability. Seasonal and annual data of dew point temperature for some meteorological stations in Kurdistan region of Iraq were analyzed to determine their magnitude and trends using statistical linear regression method with (SPSS) program and the inverse distance weighting (IDW) interpolation method of (ArcGIS). The spatial analysis shows that seasonally the highest and lowest values were recorded at Erbil and Amedi stations of (13.41 oC, -1.39 oC) at summer and winter seasons respectively, and for mean annual variation the maximum and minimum mean values of dewpoint also recorded at Erbil and Amedi stations of (9.02 oC, 2.61 oC), respectively. Temporally, the seasonal dewpoint temperature trends have positive variation at most of stations, while in Duhok, Zakho and Pirmam stations have negative trend value at summer season. Seasonally, Kalar station has maximum positive trend with value of (0.741 oC/year), on the other hand, the minimum dewpoint trend of (-0.292 oC/year) detected at Pirmam station. The annual trends were positive at all of stations in study area with significance correlation for most stations, the highest and lowest increasing trend were recorded at Kalar and Duhok stations of (0.361 oC/year, 0.071 oC/year) respectively.