Fewer and fewer people from the age of 60 and upward are still in the working life according to a working survey from Central Bureau of Statistics. Only one of twenty can consider retiring after an age of 65. According to another survey that National Insurance Administration put through year 2000, just about 40 % of the working population desires to finish working before an age of 65. This trend towards lower seceding age seems to continue. There are number of factors that seem for lower retirement age and others for a higher retirement age that we prove in our study. One regression analysis applies to prove some contingent relations between these factors, such as: gender, education, blue or white collar worker, previously monthly earnings, years of working, marital status, and also variety of working environment such as: hectic, uncomfortable and noisy. This survey is also using a probitanalysis to see if there is a difference in the result from the regressionanalysis. The study is limited on variables because HUS-database is a small database and lacks some of the desired test variables. Regression results indicates both significant and none significant relations. The study started with 12 test variables and 214 individuals but only 5 of them variables proved some relations with the retirement age. The final regression model declares 45 % of the changes in retirement age. The sample has limited us slightly but it gives us how ever one miniature reality picture. The probitanalysis didn’t give us a right miniature reality picture because used data didn’t fit probit.

<p>Fewer and fewer people from the age of 60 and upward are still in the working life according to a working survey from Central Bureau of Statistics. Only one of twenty can consider retiring after an age of 65. According to another survey that National Insurance Administration put through year 2000, just about 40 % of the working population desires to finish working before an age of 65. This trend towards lower seceding age seems to continue. There are number of factors that seem for lower retirement age and others for a higher retirement age that we prove in our study. One regression analysis applies to prove some contingent relations between these factors, such as: gender, education, blue or white collar worker, previously monthly earnings, years of working, marital status, and also variety of working environment such as: hectic, uncomfortable and noisy. This survey is also using a probitanalysis to see if there is a difference in the result from the regressionanalysis. The study is limited on variables because HUS-database is a small database and lacks some of the desired test variables. Regression results indicates both significant and none significant relations. The study started with 12 test variables and 214 individuals but only 5 of them variables proved some relations with the retirement age. The final regression model declares 45 % of the changes in retirement age. The sample has limited us slightly but it gives us how ever one miniature reality picture. The probitanalysis didn’t give us a right miniature reality picture because used data didn’t fit probit.</p>