Look At The Data In Table 1 And Use Them To Write An Account Of The Main Points About The Differences In The Perception Of Health According To Class, Gender, and Ethnicity

1. The main differences between the ethnic groups and classes
2. What differences are there between men and women across manual and non-manual social classes
3. What differences can be seen with regard to the general population

Firstly I examined the differences between ethnic groups, and due to the fact that the data was split up between male and female my ethnic comparisons were done likewise. For all men I noticed that there was not much percentage difference in Good, Fair, and Bad health between the Indians, Pakistanis, and Irish, and the Black Caribbean’s were not to far behind. The main noticeable difference was between the Chinese and Bangladeshi. With regard to the women it was quite different. The Indian’s, Pakistani’s, Black Caribbean’s, and Bangladeshi were split by not more than a percent in all three-health categories. It was the Chinese and the Irish that were noticeably different from the rest.

When it came to comparing the manual and the non-manual, which are the two social classes, it was clearly relevant that the non-manual had a far better health record than the manual, regardless of ethnic origin.

To illustrate this point the most noticeable difference was in the Black Caribbean ethnic group with a 22% difference, in the Good/V.Good health bracket, favoring the non-manual over the manual.  

My second heading for comparison of difference, which entailed the contrast between men and women across manual and non-manual social classes, resulted in the following findings. In my first evaluation I found that male manual workers had a higher percentage of Good/V.Good health than female manual workers. However it is interesting to note that the opposite was true in the Bangladeshi and Irish communities with women having better health percentage than men. With regard to the non-manual sector once again the men came out with a better health percentage in the Good/V.Good bracket than the women. Yet there were two exceptions to this. Once again the Bangladeshi and Irish women had a higher percentage. However the difference in the percentages were much closer than that of the manual workers.

Finally I looked over the results in the General Population category and this is what I found. Within the male category there was some 13% difference between manual and non-manual workers, in the Good/V.Good health bracket. This was mirrored, to a less of a percentage however, in the manual and non-manual categories for the women. Yet as far as the All Men and All Women categories, there were equally matched throughout all three-health brackets.  

This concludes my findings for the results and data shown in table 1. I feel it necessary to add that in my opinion self assessed general health of individuals can not be conducive due to the fact that it is all relative to there surrounding and self perception and therefore may be too subjective. To get a more truthful set of results proper medical tests should have been conducted.