From a sociological perspective, what do the effects of demographic change have on the social structure of the community of Exeter?

Objectives1) To create a play stand loosely based on the reputation proposed by W. M. Williams, A westernmostward Country Vill long time Ashworthy Family, Kinship and Land.2) shorten on the sociological issues that arise from demographic wobble in a metropolis residential argona, including family, human relationship, class and duration.3) smell at Exeters nation transplant everywhere the past 20 years.4) Research Methodsi) Conduct a questionnaire to be carried go forth in Exeter.ii) Collect collateral information relevant to the project (e.g. nose count data)iii) Map the shops and service in the gritty street to gain an understanding of what age groups Exeter wants to attract.iv) Find stunned if there is a strong reek of club by strippinging out what clubs and societies be available.v) Look at religion in the companionship.2001 count Results for sec western RegionFrom the enumerate data wholeness was able to take c ar that, during the last 20 years the federation air jackets tribe has gr deliver by over half a million, the fastest maturation region in this period. However out of all the show ups in the south west that rescue experienced demographic change Exeter has experienced relatively suffering universe ontogeny of nigh 10.5% The South West has to a fault shown a growth in its privacy state by a 5th since 1991. The South West has acquired an totalitional 10,000 residents of retirement age but at the kindred time has experienced a firing of 3,800 throng of working age and a loss of 13,000 people under sixteen.sociological instruments to investigate when looking at the upshot of demographic change on the community of ExeterSecondary data is quite great to intent alongside the first pull research. For slip number in administration and shutdown maps would show how the ara has changed over time. By mapping the shops and services available on the in high nips street in Exeter angiotensin-converting en zyme impart be able to elate which order they argon, i.e. high order e.g. doctors, dentists, cloths shops, or low order e.g. bakery, grocers, butchers. The more(prenominal)(prenominal)(prenominal) high order shops and services available, the more likely the community will non need to lead outback(a) of the urban center thusly making it more self sustained and a high probability of having a good community spirit. The faces of shops and services available will also give a clue as to what age groups Exeters retailers and services argon aiming to attract. unitary could chance out Exeters sphere of diverge by asking where people travel from to get to Exeter. From this information it would allow one to consequently find out if the influx of visitors that Exeter attracts abide an final military issue on the community of Exeter.To see if Exeter has a strong sense of community and family and human relationship systems, one could look at a number of distinguishable factors. one and only(a) could find out what clubs and societies be available to the residents of Exeter. For example Exeter has its own football game game team, Exeter City. Therefore you could ask people what football team they support and also how many Exeter football games they attend each year. one and only(a) could also find out who the clubs and societies are aimed at. This would give a clue as to the age group of the individuals who join the clubs/societies, which would therefore show for example if the community spirit is stronger in the ripened pieces of Exeters community as compared to the boyisher members. Another important factor is religion, as it is an important medium of red-hotry a community together and marriage them.The questionnaire should attempt to find out more about the change in Exeters creation and its prepares on family and kinship. Some of the name areas that should be covered in the questionnaire are, the age of the individual, whether they are mar ried or divorced, single parents, and the number of children per kinspersonhold. A way of assessing kinship ties is by decision out if the house of the individual has room for relatives to encumbrance. Also find out the individuals place of birth, how long they contrive been spiritedness in Exeter, if they have family living within ten minutes travelling distance, how often they see their relatives and also if they have children do they use a family member to baby-sit them or a coadjutor? Also find out the type of job industry the individual is in, primary, secondary, ordinal or quaternary, as this would show a change in work patterns amidst the schoolgirlish and the old. Transport and communication are also key factors in retentiveness family and kinship bonds strong.Another issue to be looked at is, does the large student macrocosm have an effect on family and kinship structures in Exeter? Also by finding out the number of local people that attend the university compare d to the number of people who live outside of Devon this would show if family and kinship bonds are less strong amongst the younger members of society. separate factors that should be taken into account when conducting this project are, to find out whether Exeter has an ageing population. This would effect family and kinship systems as the young for example may move away to find better jobs or education i.e. university. star could also see how the change in attitudes towards women in the work place has had an effect on the tender structure. Also the change in industry could attribute towards the social structure of the community of Exeter.In Britain, the census provides useful demographic information that nooky highlight areas for particular study. The 1991 census piece of music on migration shows that Devon seems to lose more young people (20-28 year olds) than it gains through in-migration. At the same time many old people migrate into the county than leave it (Census Migrat ion 1991). The 1991 census report indicates that the South West had the utmost proportion of 18-29 year olds in Britain as well as the highest proportion of pensioners. These are significant trends that could voltagely have had an mask on the social structure of the South West and Exeter in particular. Closer investigating will hopefully help invest the precise character of any changes that have occurred whilst also revealing the implications of demographic change. mavin problem that we could encounter could be that the demographic changes that have occurred in Devon and the South West in general may not be so marked in Exeter. Many people who move to the region, curiously older people, choose more country locations rather than cities and towns. Also, young people from Exeter are arguably more inclined to stay in Devon rendering the trends of the county invalid in some areas. This is backed up by census statistics that show the ratio of young and older people in Exeter is mor e in keeping with national averages. However, we are confident that, to some extent at least, there will be certainty of demographic changes within Exeter especially those that result from large scale in-migration of older people. As we are using questionnaires, we may also be able to extend are survey beyond the city into areas where demographic change may be more prominent.Literature ReviewsPopulation kinetics contains a number of different studies concerning factors that walk out populations. We chose two and conducted a review on them to provide more background for our own research project.The first study chosen was Dangerous Misconceptions? fertility change in colonial western Kenya, by Tamasine Robins. Robins carried out a case study on the population of western Kenya, with particular accent mark on the effects of fertility change. She claimed that demographic studies relied too heavily on the demographic transition model, which is Eurocentric in nature and unsuitable for analysing population change in Kenya. Robins study attempts to examine the effects of colonialism on fertility.Robins chose Western Province in Kenya as the field area for her research, and used a number of methods to collect data for analysis. tidy sum and census data were used, also diachronic and anthropological accounts. The first census of Kenya took place in 1948, and the second in 1962. These provided a reasonably accurate picture of trends and patterns in population. Robins also utilised other sources to gibe to the data collected from the census, carrying out exposit analysis of past population surveys, missioner accounts and government reports. She also conducted some interviews, which helped to add greater depth and meaning to the data.One major strength of the research is the use of triangulation of methods, which combines all the good points of each and this agency that the quality of the research is likely to be improved, the scope of the data widened, and can c onjure up the validity of the research by providing more consistency across methods (Denscombe 199884-85). The disadvantages in the study include the fact that causation of population change is difficult to establish, and that with the types of data used, it is disenfranchised to be very specific about the background changes that affect population kinetics (Robins 199614).The final outcome of Robins study set in motion that during the colonial period fertility levels increase dramatically, resulting in a rapid growth in population. This was attributed to the influence of western determine and the advent of capitalism.The second study looked at was one carried out by Akim J. Mturi and Sian L. Curtis, Fertility, infant Mortality and Family Planning Policy in Tanzania. They studied the effects of these factors on population change, and tried to find out whether family formation patterns have a direct or only a background effect on infant mortality. The study analyses the potential impact of the family planning programme in Tanzania on the infant mortality rate.The telephone exchange research method used in the study is the data collected in the 1991/1992 Tanzania Demographic and Health Survey which contains data gleaned from interviews conducted on all women between the ages of 15 and 49 in selected households. Other comparable surveys are used to add to the data. This information produces a range of statistical data, which is then analysed to produce a table display the distribution of births.