The general objective of this article is to analyze the determinants of the adoption of drinking water supply strategies in the rural commune of Saaba. To achieve this, a questionnaire was developed and administered to 284 randomly selected households whose socio-economic characteristics and access to water were noted. The data collected were statistically processed using Microsoft Excel 2013 and SPSS stats 20 software; the data collected were entered into SPSS stats 20 software and then transferred to STATA12 software using STAT transfer software. For econometric processing, we used STATA 1 software. To conduct this study, a survey form was used to collect data from households. The data collected were estimated using the multinomial Logit model. From the analysis of the results, it emerges that 24% of the households surveyed are in favor of the strategy of diversifying supply methods, 23% for the water treatment strategy, 17% for the rationalization of uses, 28% for the extension of the storage period, and finally 9% are in favor of purchasing water from resellers. For the econometric results obtained using the multinomial logit model, it appears that for the strategy relating to water treatment, the level of education, age, household size, distance, housing and household size positively influence the probability of adopting strategies relating to water treatment. With regard to the strategy relating to water saving within the household, it emerges from the estimation results that housing, the quantity of water consumed, the number of children and the collection time positively influence the probability of adopting this strategy. With regard to the strategy relating to Diversification of supply sources, it is noted that the variables relating to collection time, the use of other water sources, income, level of education are among others the variables which positively influence the probability of adopting the said strategy. Finally, the variables level of education, housing, quantity of water consumed and the number of children positively influence the probability of adoption of the strategy concerning the healthy management of water at home.