|The present study has selected the hill ecosystem of North Sikkim as a research locale to estimate the people’s perception on the impact of climate change on this fragile ecosystem. The variables Y1 (climate change perception), Y2 (yield change perception), Y3 (water bodies perception), Y4 (health problem perception), Y5 (species decline perception), Y6 (perception indicator change), Y7 (landslide perception), Y8 (distance perception), Y (comprehensive climate change perception) the following variables has been selected and customized as core of predict ants, against which the following variables X1 (age), X2 (education), X3 (family size), X4 (media interaction), X5 (per capita holding size), X6 (cropping intensity), X7 (technology socialization status), X8 (family income), X9 (expenditure after health), X10 (animal health mentoring), X11 (location of the market), has been selected as to have causal impact on the above stated perceptual variables. It has been found that the variable X2 (education) has got decisive impacts on climate change perception. While path analysis has been carried out the variable X3 (family size) has exerted the HIDE (highest indirect effect) on climate change perception. The correlation analysis has evinced that the variables X2 (education), X6 (cropping intensity), X8 (family income), have been significantly correlated with climate change perception. The principle component analysis depicted that the following key factors through the respective conglomeration of variable have impacted on the process of climate change perception and the factors are farm capacity, health ecosystem, geo-diversity, media complex, socialization dynamics, resource based climate change perception, landslide perception. Canonical correlation analysis has been conducted to determine whether two set of variables are in independent of one another or conversely determining the magnitude of the relationship.