This study aimed to: describe the level of respondents' benefit from social protection programs (educational protection- health protection- economic protection- improving infrastructure) provided by civil society organizations in the study area, determine the relative importance of each social protection program from the perspective of the respondents, identify the variables. related to and affecting the degree to which respondents benefit from social protection programmes. To achieve these goals, a regular random sample of families benefiting from social protection programs was selected at a rate of (5%), thus the sample size reached (236 rural families).
Frequency distribution tables, percentages, and arithmetic mean were used to display and describe the data. The alpha reliability coefficient (α) was also used to measure the degree of stability of the composite measures, using the Cronbach method. The simple correlation coefficient, the multiple linear regression coefficient, and step regression analysis were used. To identify the variables associated with and influencing rural residents' benefit from social protection programs provided by civil society organizations.
The most important results were:
 he largest percentage of respondents benefited from the educational protection program was high (46.2%). About a third of the respondents had a high level of benefit from the health protection program (34.7%), and that the largest percentage of respondents had a high benefit from the economic protection program (39.8%), and that the largest percentage of respondents had benefited from the infrastructure improvement program. Basic is low (44.5%).
It was found that there are five independent variables that contribute to explaining the total variation in the degree to which respondents benefit from social protection programs. These variables are: satisfaction with the services available in the village, number of family members, membership in social organizations, housing condition, and number of years of formal education.
Referring to the value of the coefficient of determination (R2) of 0.567, it is clear that the five previous independent variables together explain about 56.7% of the variance in the degree to which respondents benefit from social protection programs.
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