Climate change is intricately linked with amplifying existing risk across multiple sectors, and assessment of the indigenous farmers practising jhum (jhumias) is highly necessary for developing adaptation strategies in the biogeographically-diverse northeast Himalayan region. The current study estimates the Shared Socio-Economic Pathway 2 (SSP2) – 4.5 hazard scenario for the year 2040–2059 using Coupled Model Inter-comparison Project 6 (CIMP6) (mean projection) and Multi-Model Ensemble. The remaining risk dimensions (exposure and vulnerability) were derived from household survey data involving 450 households from 18 villages representing six districts, three states, and four watershed basins. This framework used an indicator approach for defining risk dimensions and a spatial approach for the final risk presentation and classification. Principal Component Analysis (PCA) was used to select and group the indicators. All chosen indicators underwent varimax rotation, and factors with eigenvalues greater than one were considered for grouping into components. Different weights for each indicator were defined using the Shanon entropy method. Climate change risk was found to be highest in Khudengthabi village in Chandel district, followed by Sangshak village in Ukhrul district. Lack of land ownership, low yield, no alternative livelihood option, an insufficient market, and unavailability of labour force are some of the major factors contributing to higher risk in the area. The study recommends skill development and alternative livelihood programmes with a new education policy that encourages the dropout youth to continue in schools and colleges. Subsequent policy initiatives should prioritize villages, indicators and components with high index scores to optimize resource allocation and facilitate quicker adaptation.