Ethiopia's econamy is dominanlly rain-fed agriculillre accounling for 47% of GDP and 80% of jobs.rnHowever, this dominant seclor has been challenged by climate change and variability. Besides,rniWljJerature and rain fa ll variation, the diverse economic, social, cultural and ecological condition maderndifferences on the vulnerability level of farmers in the countly. Taking Ihis situation into account, Ihernsludy was aimed at examining Ihe vulnerabilily level of farmers in Choke Mountain ecosystem based onrnan inlegrated vulnerability assessmenl approach using its indicator variables. These i,:,dicator variablesrnconsist of various socia economic and biophysical attributes of local communities. To this end, fourrnkebeles ji-om Ihe watershed were chosen based on their traditional agro-ecology, Dangulie (upperrnhighland), Gedamawit (highland), Dendegeb (midland), and Kurar (lowland). The principal componentrnslatistical analysis (PCA) was employed 10 determine Ihe weighl of selected variables in construcling Ihernvulnerability index. Vulnerability indices were constructed using the systematic combination of indicatorsrnof adaptive capacily, exposure and sensilivity. Data thai collecled ji-om the Kis, FGD and SecondOlYrnsource of data were Iriangulated with qllalitative resulls. The vulnerability index of Kebeles' with differentrnagro-ecology revealed an index ranges between-1.46 and 0.04; Based on Ihe value of the index Danguliernrepresenting the upper highland was found as the mosl vulnerable district (-1.46) and Dendegebrnrepresenling the midland was found less vulnerable kebele (0.55). Whereas, Gedamawil representing highrnland wilh VIr 0.04) and Kurar represenling lowland agro-ecology wilh VI (0. 48) were found as vulnerablernin relative terms. Based on Ihe resull, Ihe vulnerability level of fanners in Ihe watershed explained thairngreater exposure to climate extremes as well as low level of economic status, inji-astrllcillre development,rnand absence of inslillltions. Indicalors that exacerbale the vulnerability level of farmers in the walershedrnwere also identified farm land size, Slop of Ihe farm land, Ihe absence of instilutions such as VeterinOlYrnService, Credil and Saving Inslillliion, low agricullural lechnology provision and non-farm income,rnaccess 10 market and poor transporlalion were Ihe delerminanls. Hence, to enhance Ihe adaplive capacilyrnof farm ers and to creale a resilienl ecosystem; Ihe governmenl shoulei creale job opporlunily to absorbrnlandless youngslers. Furlhermore, all farmers should equally be accessed with credil provisions, goodrngovernance of nalural resource, establishmenl of crop insurance logelher with Provision of relevantrninformal ion aboulthe change and variabilily Ihereby farmers would have Ihe privilege 10 take Ihe leadingrnrole in allesting the intended gaol.rnKey words: climate change, vulnerability, adaptive capacity, exposure and sensitivity