Geograhy Graph analysis - Traffic on routes leading into Birmingham

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Geography Graph Analysis

Using the information provided by my group's results I have drawn up a graph which projects the following results: Male = 53% Female = 47%

Graph 1 is based upon the results we collected as a group for whether the population that we questioned was male or female. The graph does not show this at a first glance; however we had a very similar gender population. Our interviewees had a slim amount of greater males than females only by 6%. Although it is not proven, I can suggest that due to the recent improvements of the city centre and the number of works going on such as construction, this could be an implantation of the larger male population as these jobs are most likely to be carried out by the male beings.

Using the information provided by my group's results I have drawn up a graph which projects the following results: 18-30 = 46% 31-40 = 21% 41-50 = 20% 51+ = 13%

Graph 2 represents the age groups of the 100 people that we questioned. Almost half (46%) of these interviewees are between the age of 18 and 30 which shows that Birmingham in general has a young population, however we cannot be sure of this as we only questioned people in the town centre therefore it cannot show the correct results for the overall population of Birmingham. The 46% of people that are aged between 18 and 30 reflect the reason why Birmingham is lively and the increasing number of entertainment facilities throughout the city. It also is the reason for why there are more jobs emerging in Birmingham as this age group is known as the working age.

The next 2 age group consists of 41% of the people asked. The 31-40 age group (21%) and 41-50 (20%) age group. The range of these age group is 9 years therefore we can expect a lesser population in these age groups in comparison to the others. However these two are included in the working age so therefore we can believe that many of these citizens have come to work. Our results show that of the 41% of people questioned 28 of them came for work or business purposes.

Of the 100 people interviewed we can see that 14% of the interviewees are over the age of 51 therefore are more than likely not to use a car and more likely to use public transport if they are at such an age. With the government offering O.A.P bus passes this will encourage some to travel via public transport. This will affect the results of "How did you get to Birmingham?" (Graph 5).

Using the information provided by my group's results I have drawn up a graph which projects the following results: Shopping - 25% Work - 22% Business - 37% Other - 16%

Graph 4 forecasts very clearly that the population interviewed, the main reason for travelling into Birmingham was for the purpose of Business. As we can expect, commuters travelling for business purposes will be travelling large distances, therefore the likelihood of them using trains. Of the 37% of people who come for business reasons 17% of them use the train, whilst only 3% of these used the bus however 8% used a car while the further 9% came using a different means of transport.
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This graph also shows that 22% of people travelled to Birmingham to work. As working hours in the city centre are similar, as we can imagine the rush to get out of the city and the amount of people getting out is extraordinary. As we know the term "Rush Hour" is used at certain times of the day when traffic is at a high, due to the fact of starting or finishing work times being similar at different work places. The normal "Rush Hour" times are between 7am and 9am as people are getting to work, and between ...

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