Analysis Of Data. 2.0.docx

ANALYSIS OF DATA While conducting our research for this SBA we gathered that 54% (27 persons) of the respondents were male, and the other 46% (23 persons) accounted for the female students of the College. It can be gathered that mainly men from the college reside in the area of GrosIslet. The data from question two gives a clear representation of where the respondents reside as well as it provides the necessary information to assess the socio economic conditions of persons living in the given areas of Gros-Islet. It was gathered that 14% of the respondents live in the area of Rodney Bay, 4% in Marisule, another 10% reside in the areas of Bonterre, 10 % in Cap Estate, 10% in Beausejour, 10% in Reduit, 8% in Monchy, 6% in Bois D’ Orange, 8% in Corinth, 12 % in Gros-Islet town and 6% in Grand Riviere. Given that majority of respondents reside in Rodney Bay, it can be assumed that a fair amount of income is being generated by the households. Rodney Bay is the main pub for tourism and also the main area in which commercial activities take place on a day to day basis. In addition, the area in which the second highest amount of residents reside is in Gros-Islet town. This area is deemed to be one of the lesser developed towns and only requires the minimum wage in order to live here along with other areas which don’t require such a large income such as Marisule, Corinth, Grand Riviere, Bois D’ Orange and Monchy. It can also be seen that a percentage of the respondents reside in areas such as cap estate, Bon-Terre and Beausejour, all areas in which persons who make higher incomes tend to reside because of the prestigious environment, views and housing. Furthermore in the following question which shows how long the respondents have been living in the Gros-Islet area, 54% of them lived there for over 10 years and this is because within the last 10 years, it was easier to afford living in such areas because taxes were not as high and inflation wasn’t present as much as it is now. Overtime as inflation increased it became harder to afford living in these areas therefore the least amount of people tends to live there for less than 5 years. The data which was collected from question 4 describes the household of the respondents. 50% of the respondents claimed to be a part of nuclear families, followed by extended families then single parent families. Since such a large percentage belong to nuclear families it can be said that this is because in a nuclear family both parents are active and it is therefore easier to maintain the household especially without having to provide for other relatives but only children. The data from question 6 shows the level of education which has been obtained by the respondent’s households. 32% of the respondents which is the highest number have obtained only their A-levels. 12% obtained their Bachelors and their masters respectively. The reason for there being so many A-levels is because it was relatively cheaper back in the day to attain this level of education compared to that of a masters, a bachelors and a doctorate/PHD. A-levels are advanced proficiency examinations which can be useful in numerous ways as it is looked at regionally and internationally in some cases. Therefore getting a job with this level of education was fairly easy and the incomes in which this level of education provides is enough to sustain a family in situations where both parents are employed. In a single headed family however, it does slightly become more difficult but it is still able to generate enough income to sustain children in the household. The data which was gathered from question 7 indicates the amount of times in which the respondent’s families engage in travelling. The majority of the families (32%) engage in travel occasionally, 30% don’t travel much and 20% travel frequently. The previous question

corresponds to this question and it shows that by having A-Levels, doctorates and masters families are able to travel occasionally with the incomes which they receive on a monthly basis. The latter of the respondents don’t travel much or at all and this is because of the income in which they receive with the level of education which they attained. Following this the data from question 8 shows the number of respondents who have a license/ learner’s permit. Out of the 50 respondents 30 of them (60%) do not own a permit or a license while the remaining 40% do own a license. Some also stated that they could attain one but they choose not to burden their parents with such troubles. What can be gathered from this is that most respondents do not own one simply because they do not see it as a necessity for their daily lives. Also the respondents who do own a license are those who reside in the areas of Rodney bay, cap estate and Bonterre. The data which was obtained from question 9 displays how the respondents get to school. A stunning 29 respondents claimed that they use public transport as a means of transportation and when asked for a reason some indicated that their family’s schedules are too busy in order for them to drop them to school. The others claimed that their families do not own a vehicle which is why they take the public transport system. Following this response, 11 of the respondents claimed that they are driven by their family, and the remaining 10 claimed that they drive themselves to school. When analysing the data it was found that the persons who are driven to school by their parents, or own their own vehicles also reside in areas such as Rodney Bay and Bonterre. So we see that persons from these areas tend to earn an income which can provide not only for them but for their children as well. In question 10 an estimate of the monthly income earned by the respondent’s household was gathered. Out of 50 persons, 25 of them claimed to earn $3000-$4000 a month, 10 claimed to be making $1500$3000 a month, 9 make over $5000 a month followed by 3 persons who make $500-$1500 a month as well as 3 persons who make less than $500. This information shows that majority of the respondents household earn a substantial amount of income with the level of education which they have and therefore allowing them to live comfortably and provide for their families.