Abstract:
This study attempts to study personal factors of customers classifying by gender, age, marital status, education, occupation, and average income contributing to choosing decision of insurance types of customers as well as to study factors affecting saving in insurance form related to choosing decision of customers of Krungthai banks in Bangpakong District, Chachoensao Province. The data were collected from questionnaire which is an instrument in this study. The subjects were 400 customers of Krungthai banks in Bangpakong District, Chachoensao Province who saves their money in insurance format. The statistics applied in this study were descriptive statistics including frequency, percentage, mean, and standard deviation as well as inferential statistics to test the relationship among two groups of subjects using Pearson Chi-Square. The findings on personal factors reveal that the majority of respondents were females, were in the age of 20-30, were married, obtained bachelor degree, have worked private company with a monthly income of 20,001-30,000 baht. The study on reasons to make a saving in insurance format indicates that saving factor was the factor that respondent emphasized. Then, the lower ranks went to investment factor, benefits from tax factors, life security establishment factors. Factor that respondents to the questionnaire focused the least was protecting factor. It was found from testing hypothesis that for personal factors, marital status, education and monthly income were related to choosing decision of the types of life insurance at statistically significant level of 0.05. On the contrary, gender, age, and occupation did not have a relationship with choosing decision of the types of life insurance at statistically significant level of 0.05. The study on saving in insurance format factors reveals that investment factor, saving factor, protection factor, establishing life security factors have related to choosing decision of the types of life insurance at statistically significant level of 0.05. On the other hand, tax benefits did not related to choosing decision of the types of life insurance at statistically significant level of 0.05.