Abstract:
The objective of the study was to explore level of preparing and personal factors can affect for economic dimension readiness in non-registered workers for ageing society at Koh Sichang, Chonburi province, by economic stability concept. A sample is non-registered workers the number of a sample was 255, age 50 -59 and live in Koh Sichang, by the Yamane formula to calculate samples. statistics used for data analysis include frequency and percentage. Analyze the level of economic readiness through two sets of demographic characteristics and ANOVA statistical data T-tests. For population characteristics that can be divided into three or more groups, reach a statistically significant level of 0.05 to test the relationship between population attributes and the level of economic readiness The findings indicated that the sample have the level of economic readiness as a whole is at a low level. The average values for all 4 aspects are shown as follows 1. Economic readiness from own collateral is to a lesser extent (Mean =2.47) 2.Economic readiness from receiving support within the family is to a lesser extent (Mean =2.10) 3.Economic readiness from receiving support within the community or society is to a lesser extent (Mean =1.75) 4. Economic readiness from government guarantee has never been at the level of preparedness (Mean =1.50) There are five personal information factors that affect the level of economic preparation: 1. age; It has been found that the level of preparation between the ages of 50 and 54 is higher than that between 55 and 59, which is statistically significant 0.41* 2. education level, The Research has found that groups with a bachelor's degree or above are more financially prepared than those with high school/vocational education. And groups with statistically significant levels of primary education.000* 3. Marital status, The research has shown that single individuals have a higher level of financial readiness than those who are married, divorced, or widowed. Statistical significance. 000*4. Monthly income, The research has found that the economic preparation level of high-income samples is higher than that of low-income groups in statistical significance. 0.25* 5) Housing , According to research, people who own their own homes are often more likely than other groups (such as renters or A group living with relatives or other statistically significant individuals 000*