Evaluating data from Statistics …show more content…
(8) It should be addressed that men may have had higher unemployment rates in 1990’s, however, this could be attributed to men being more likely to become part of the unemployed due to job loss whereas more women are not accounted for as part of the labour force as they may be “discouraged” workers. (11) Women are overrepresented in certain jobs sectors such as the service industry, healthcare, education, clerical all of which have been described as “pink collar” jobs. While women are underrepresented in industries such as mining, construction, manufacturing, public utilities, engineering which is likely attributed to the physical strength and manual labour that these jobs consist of. (13) This supports the idea that segregation still exists in the public sphere. The data from Jacobsen’s Table illustrates a drop in the income ratio of women between the ages of 24-45 which likely can be explained by women going on maternity leave and focusing on family responsibilities as between the ages of 45-54 one can see an increase in women’s income once again. (34) Comparisons in annual income are made between a male head of the family and a female head of the family, resulting in the information that family incomes by men surpass family incomes by women. This contributes to the idea that women