Social Infrastructure Case Study 2022

Running head: SOCIAL INFRASTRUCTURE
SOCIAL INFRASTRUCTURE
Name of the Student
Author note

SOCIAL INFRASTRUCTURE
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SOCIAL INFRASTRUCTURE
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i. Composition and Future Trends
Wiley Park is a suburb in the region of Sydney, NSW, and it is located about 14
kilometers from the capital city of NSW, which is Sydney. The region happens to be the
federal electorate of Watson. The region comprised of not less than 9,500 people in
population, which composed of 52.1% males and 47.9% females, as per the 2011 census
(Wiley-park.localstats.com.au 2019). This is indicative of the fact that the region has a near
gender ratio stability, with the males being slightly higher in number. The median age of the
population of the region is 30 years, which is indicative of the fact that the population in the
region is relatively young. 34.2% of the population of the region were born in Australia, with
a significant number of residents belonging from Bangladesh, Lebanon, Vietnam, Pakistan
and China, contributing 10%, 7.7%, 4.1%, 4%, and 3.6% respectively to the population in the
region. Out of this population, 21.9% of the population residing in the region speak Arabic.
The other top spoken languages in the region include English and Bengali (Wiley-
park.localstats.com.au 2019).
A majority of 44% of the population in the region have their religious roots in Islam,
with only 14.9% being Catholics. As per the marriage status in the region, 56.7% of the
people in the region are married, which signifies a high proportion. 29.4% of the people in
the region have never married and 7.1% of the population are divorced. There are
approximately 232 widowed people living in the region (Wiley-park.localstats.com.au 2019).
The region however, has an unemployment rate of 11.4%, with 52.5% of the population who
are above the age of 15 working full time, and 29.5% working on a part time basis (Wiley-
park.localstats.com.au 2019). As per the major occupations in the region are concerned, there
are 15.9% laborers in the region, followed by 14.5% professionals, 13.4% Technicians and
trade workers, 12.4% Machinery operators & drivers, 11.8% Clerical & administrative