Table 1 Questionnaire variable description and interpretation

PSA history: “No history = 0, I have done = 1” to explore that respondent PSA history have an impact on the WTP and their payout level

Willingness to pay: “Do not want to pay = 0, Want to pay = 1” for extracting max of men WTP

Education: “Illiterate = 1, Elementary / Elementary end / Literacy = 2, First cycle / guidance / end of guidance / secondary = 3, Second cycle / secondary / intermediate 2 / no diploma = 4, Diploma / Pre- University = 5, Associate / Diploma = 6, Bachelor / Bachelor = 7, Master / Master / Professional Doctorate = 8, Specialized doctorate / postdoctoral = 9, Other = 10” to explore whether individual

information (education) have an impact on the WTP and their payout level

Residency Area: “Village resident = 1, City resident = 2, Resident of the provincial capital = 3, Resident of the capital = 4” for evaluate whether the variable has an impact on the residents’ WTP and

their payout level

Insurance: “Do not have = 0, have a basic insurance = 1, have a complementary insurance = 2, do not

have complimentary insurance = 3″ f or detecting the effect of having or do not having insurance on men WTP and their payout level

Health Status: “low health Status = below 5, Intermediate health statutes = 5, adequate and high health status = between 5–10” to evaluate health Status' effect on men WTP and their payout level

Hospitalization: “No hospitalization history = 0, once = 1, Two and more = 2” to evaluate whether health status and hospitalization influences men WTP and their payout level

Prostate problem history: “No prostate problem history = 0, prostate problem history = 1” For evaluate respondent and his family prostate problem history effect on the men WTP and their payout level

Risk of incidence: “low risk = below 3, intermediate risk = 3, High risk = Further 3” for assessment of the effect of risk of PCa incidence rate respondent on the residents’ men WTP and their payout level

Age: “Year”, to evaluate whether respondent age affects the men WTP and their payout level

Expectation of remaining life: “Year” to evaluate whether respondent Expectation of remaining life on the men WTP and their payout level

Monthly Expenditure: “Dollar paid per Month” to evaluate whether respondent family expenditure

effect on the men WTP and their payout level

Land lord status: “Proprietary = 1, Leased = 2, Other = 3” to evaluate land lording status effect on men WTP

Cancer History: “No cancer history = 0, Cancer history = 1” For evaluate respondent and his family

any cancer history effect on the men WTP and their payout level

Occupational status: “Employed = 1, Unemployed (job seeker) = 2, Has an income without work = 3, Retirement = 4, Others = 5” to evaluate occupational status effect on men WTP

WTP: “do not willing to pay = 0, willing to pay = 1”