The study was conducted in purposively selected three upazilas (sub-districts) of the south-western coastal regions of Bangladesh. These were Dacope upazila of Khulna, Mongla upazila of Bagrehat and Shymnagar upazila of Satkhira districts. Thirty sheep farmers who were ready or available to provide information were selected randomly (first met first interviewed) from each upazila and the total number of farmers interviewed was ninety. Preparation of interview schedule and data collection- An interview schedule was prepared very carefully to collect relevant and useful information from the sheep farmers keeping the objectives of the study in mind. Both open and close ended questions were contained in it and all the questions were indirect and simple form. The interview schedule was pretested with 10 farmers after preparing it. All necessary corrections, as well as modifications, were done after the pre-test. The data for this study were collected by face-to-face interviewing of the sheep farmers according to the interview schedule during the period from June to September 2019. As the sheep farmers did not have any written document, they were replying from their memory. The data sheets were checked and verified after every interview to be sure that the responses of the sheep farmers were recorded properly. The issues addressed in the study- The issues which were addressed in the study included socio-economic information of the sheep farmers (age, education, family size, occupation, farming experience, farm size, income, etc.), social information (crop and sheep farming experience, training exposure, media contact, etc.), psychological (knowledge on sheep rearing, attitude towards sheep farming), farm management related information (farming system, types of feed supplied to the sheep, treatment and vaccination, etc.) and sheep related information (number of sheep per household, production and reproductive performances of sheep, etc.). Focus issues covered prospects of sheep farming (income generation by sheep farming, relative advantages, poverty reduction, etc.) and problems faced [breed related problems (i.e., unavailability of an improved breed other than the local ones), feed and fodder related problems, health-related problems, etc.]. Measurement of the issues- Measurement of the different independent issues, such as socioeconomic information of the sheep farmers, socio-psychological, farm management related information and sheep related information were measured following standard procedures as used by Islam et al. (2019) and Zinea et al. (2019). Measurement of problems faced during sheep rearing: The sheep farmers were asked about the problems faced in sheep rearing. A number of 19 problems were incorporated in the questionnaire. The problems were categorized into highly severe, moderately severe, less severe, not at all a problem and scores of 3, 2, 1 and 0 were assigned to the scale respectively. The number of problems from different aspects was 18 and thus the problem-facing score could range between 0 and 54. Based on problem scores obtained by the individual farmer, the sheep farmers were classified (following approximately equal three divisions of the possible score range) into three categories: less severe (?20 score), moderately severe (20-39 score) and highly severe (?39 score). Besides this, the 18 problems were ranked based on total score obtained by 90 sheep farmers against the particular problem. The score could be ranged from 0-270 where “0” indicates no problem and “270” indicates a highly severe problem. Measurement of prospect of sheep farming: The sheep farmers were asked some questions which were related to relative advantages, poverty reduction, employment and income generation. Total 17 prospects were decided and the prospect score for an individual farmer could range from 0 to 51. Based on prospect scores obtained by the individual farmers, the sheep farmers were classified (following approximately equal three divisions of the possible score range) into three categories: less prospect (?18 score), moderate prospect (18-33 score) and high prospect (?33). Besides this, the 17 prospects were ranked based on a total score obtained by 90 sheep farmers against the particular prospect. The score could be ranged from 0-270 where “0” indicates no prospect and “270” indicates high prospect. Data tabulation and analysis- After completing a collection, all the data were compiled, coded and then tabulated for processing. Local units were converted into standard units. Different statistical methods were used like number, mean, SD, minimum, maximum and percentage to explain the variables. To analyze the data, the SPSS statistics 16.0 program was used.