Above are all the different demographics for January 2009. On the right hand side they show the index numbers on the average viewings, as the 100 will be the base number. The demographics show the viewings of sex, age, ethnicities, if you have kids or not, income and qualifications in education.
63% of females are viewing the website, compared to 37% of males. This shows that there are more females than males that view this website. This may be so because they care about it more or they want to find out information about cancer more than males. Also the percentage of females is it has increased 23% from last month.
On the age graph we can see that the most popular age is 50+, this may be so because they are retired and will have more time to look on these types of websites. The least popular was 3-11, the reason for this is that they are to young of an age to access a computer, however if they were then they wont know how to access the website itself.
Overall on the age group graph as the age increases so do the views from the older age. So for my website I may target my website to the older age group as they are most likely to visit it.
70% of viewers have no kids and 30% of them had kids. This shows that people who are single or married but with no kids have more time to view websites such as this. And the index had risen to 106 which is a 6% of viewers from this section compared to last month. So for my website I will also target towards single or married people with no children.
The next demographic shows that the people on low income view the website more than people on high income, this may be so because the people who are on lower income and their job may not require as much work hours as the people on high income and so effectively they will have more spare time and will view the website more often. Also the index on this is increasing so it looks that there will be an increase in amount of people on low income viewing the website.
The last demographic shows the education of the viewers, we can see that half of the viewers have no college and that the least with 12% go to school. So this shows that the people who are not in college are more interested in viewing the website thank compared to people who go to school. And the index is also increasing through the viewers who don’t go to college and a decrease for both who go to college and or school.
The next graph shows the views of people who are from the U.S.
We can see from the scatter graph above that the amount of viewers from America is increasing from September with around 5K. However the peek point is in December with 31K. This shows a 26K difference. The reason for the increase around winter is that due to the bad weather around this time of the year people don’t go out as much and are suck at home on the computer. So the website needs to be on top shape around the winter time to gain maximum viewers.
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