Analysis of Family and Domestic Violence in Australia: Data Report

This report presents an analysis of family and domestic violence (FDV) in Australia, utilizing various graphical representations to illustrate key trends and statistics. The report examines data from New South Wales and Victoria, highlighting the prevalence of assault and sexual violence among both males and females. It includes comparisons of FDV rates between 2017 and 2018, demonstrating an increase in the number of affected individuals. The analysis explores the relationship between victims and perpetrators, revealing that other family members are often involved in the harassment. Additionally, the report considers the age and location of victims, finding that residential areas are common sites of FDV. The report also analyzes the use of weapons during assaults, showing that most cases do not involve weapons. Accompanying the report is a video transcript that summarizes the key findings, including death statistics, predictive causes of diseases, and gender-based violence comparisons. The study highlights the disproportionate impact of FDV on females and underscores the need for further investigation and intervention.

Running Head: FAMILY AND DOMESTIC VIOLENCE IN AUSTRALIA
FAMILY AND DOMESTIC VIOLENCE IN AUSTRALIA
Name of the Student
Name of the University
Author Note

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Table of Contents
Journal Reflection......................................................................................................................3
Video Transcript:.......................................................................................................................6
References:...............................................................................................................................10

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Journal Reflection
According to the bar chart provided, the death statistics for New South Whales are
the highest because the peak was highest (Trollor et al. 2017). Victoria stands second among
all the other states because its peak was the second-highest in the graph.
Self-harm can be seen as the primary cause of deaths in Australian states. We can
see the validity of the above statement from the graph provided. The bar line for this data is
highest for self-harm than any other causes (Mitchell et al. 2018). Other reasons are the
people being affected by infectious disease and cancer.
In this part, we can observe the predicated causes of the deaths, which are mainly
infectious diseases. From this curve, we can see that Alzheimer’s disease prevalence is
highest among females and lowest in males (Martins et al. 2019). However, intentional self-
harm is highest in case of males and lowest in females. Self-harm is attempting suicidal
activities to end self-life (Krysinska et al. 2015).
According to the data provided by the, we can see that the graphical representation of
FDV-related offence recorded per state in 2018 in Australia, the rate of assault for
females (196750 females) is higher than males (10,087 males). Sexual assault is also higher
in the case of females than males. We found that 7638 females were affected by sexual
assault, whereas 1145 males were harassed sexually (Carline, Easteal and Young 2018). This
data was showing the results in New South Whales since it is the most significant one.
Next, we have provided a graphical representation of the family and domestic
violence (FDV) data for the year of 2017 and 2018. This graph shows the comparison of
two data and also an increment in the number of people affected in the year 2018. We have
found that 7643 females have been affected by FDV 2018, which is higher than that in 2017

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(Fitzgerald and Graham 2016). Whereas for males, the value decreased in 2018, showing that
the number of males affected by FDV has decreased (Woodlock 2017).
In the following graph, we provided the data for sexual harassment for both males
and females belonging to different parts of Australia. New South Wales (NSW) and
Victoria (VIC) are the two states in which the comparison can be made significantly (Powell
and Henry 2017). The value for males in NSW and VIC is meagre as compared to females.
For example, 2896 females were found to be affected by sexual violence, whereas males were
just 645 in number (NSW).
The gender Heatmap is shown in the next curve, which shows a five-year
comparison of sexual assault between the male-female of the NSW and VIC. The range
of years is 2014 to 2018 in this graph (Mulayim, Jackson and Lai 2016). We can see that the
number of females affected per year is maintained at a very high average value of 2500
(Riggs et al., 2016). Males are found to be less affected, showing the average value of 1500
(Boxall, Rosevear, and Payne, 2015). This indicates that females in Australia are more
affected to FDV than males.
In the following curve, the comparison between male and female sexual
harassments are being made by calculating the rate per one lakh individuals. Pink
colour shows the number of females and blue shows the number of males. We can see that in
both cases for NSW and VIC, the number of females is rising continuously from 2014 to
2018. The maximum number of females affected by sexual harassment per 100,000
individuals is 72 for females in NSW and 60 in VIC (Henry and Powell 2015). However, the
number of males have been maintained at a constant average value of 10 for both the states.
This fact shows that females were six times more harassed than males.

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In the next curve, we describe the relationship of the victim with the person
responsible for the harassment. We can see that the assault done by other family members
is higher for both males and females. The highest value has been found in this category to be
366 for females and 387 for males (Daly 2015). We also found that, in NSW and VIC, the
number of individuals affected by harassment from other family members is the highest.
In the next curve, the age of the victims is taken into account. The curve shows that
most males aged forty are affected by sexual harassment. Whereas for females, the highest
affected age group is 22 (Klettke Mellor and Hallford 2018.). This data has been found from
the year 2018. Thus the proportion of age is higher for the male group than females.
The following bar graph shows the location of the harassment. This factor goes both
for males and females. In both cases, the harassment is found to have occurred in the
residential locality for both males and females (Briggs 2018). We found that both males and
females are mostly affected by their residents.
Next, we can see that the bar graph is showing the data for weapon use during the
assault. In Australia, the majority of the sexual harassment cases were free from weapon
uses. The no weapon bar lines being highest in the graph proved this (Zilkens et al. 2017).
Thus the majority of the harassments have occurred without the use of weapons.

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Video Transcript:
1. Hello everyone, we will talk about the family and domestic violence in this video
presentation. Domestic violence will mainly consider sexual and physical domestic assaults
related to the families of different states in Australia. In this part, we can see the death
statistics of the people in all the states of Australia. We have measured that the number of
people dying each year due to domestic violence is the highest in New South Wales and
Victoria.
2. We can see that the main cause of people dying in Australia is self-harm. Other
cases are various diseased conditions which kill people every year.
3. This part shows the predictive causes of the diseases as a cause of death for the
Australians.
4. In this part, you will observe the data representation of family and domestic
violence in Australia. Sexual harassments include stalking and forced sexual exploitation.
This condition is mostly associated with FDV and is clearly shown in this part of the video.
This part shows a graph which it is seen that the orange bar in case of assault in New South
Whales has the highest peak. The bar length is higher for females than males. This fact shows
us that females are affected more by family and domestic violence than males in New South
Whales. Other state results are also mentioned here. However, they will not be highlighted
since the most significant one is highlighted.
5. Next, we will like to show you the comparison between the male and female
victims rate for being affected by FDV for the year 2017 and 2018. You can see that the pink
segments show the data collection for various times during the year of 2017 and 2018. The
red segment shows the highest values obtained for the respective years for females. In 2017
the highest value provided in red was 7456 whereas for 2018 it is higher than the previous

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value. The value for 2018 is 7643. This statement shows us that the number of affected
individuals has increased from 2017 to 2018. The blue segments show the data for males. The
highest values for males are found to be 1212 for 2017 and 1157 for the year of 2018. This
fact shows that the rate of males affected by domestic violence is found to be decreasing.
6. This part of the video shows us the comparison of sexual violence in male and
female. New South Wales and Victoria are the most significant states in which people are
affected by family and domestic violence. We can prove the above statement from this bar
graph, which shows that grey bar is highest for New South Whales and Victoria. This line
shows that the females belonging to the above states are affected more than the males. The
male bars are shown in blue colour, which is much less than the females. Thus this part
shows that sexual violence is higher in the case of females than males.
7. The blue bar shows shows the highest number of individuals affected by domestic
violence in New South Wales. This bar is followed by Victoria and other states of Australia.
8. In the next curve, we can see that a line graph shows the sexual violence in NSW
and VIC. The dark grey line shows the number of individuals affected at different times by
sexual violence in Victoria and the light grey line shows the number of individuals affected in
New South Whales. The slopes of the line curves show that the violence is higher in New
South Whales than Victoria.
9. This picture depicts the Heatmap for the genders affected in NSW and VIC. From
this picture, we can see that females are more affected than males in the two states. Records
of 2014, 2015, 2016, 2017 and 2018 are used to generate the conclusion. The deep blue
blocks show the value for females, whereas the light blue blocks show the value for males.
10. In the next graph, sexual assault comparison has been shown among the males and
females belonging to NSW and VIC. This picture shows that the average number of female

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individuals affected by sexual violence were six times higher than that of affected males. This
data was calculated by taking one lakh individuals and selecting the affected individuals out
of them. It is also shown here that females are affected more than males by sexual violence
because of the value increases from 64 for the year 2014 to 72 for the year 2018 in New
South Whales. Data from Victoria also depicted the same pattern as the result.
11. This part shows the relationship of the offender to the victim. We can see that the
major relation which is found from this curve is other family members. We can conclude this
statement from the blue bars, being at their highest peaks the shows other family members are
involved in the violence mostly. In the case of both males and females, other family members
are mostly involved in the harassments. The blue bars proves this fact.
12. The above part is explained in details for NSW and VIC separately showing that
other family members was highest for males and females.
13. This part shows the age variation for both the genders being affected by sexual
violence and other domestic violence. We can see that males have a higher proportion of age
than females about being affected by violence. This statement is proved by looking at the
curve with the highest peak in the case of males. The peak binds to forty years of age, and for
females, the age is just nineteen. This fact shows that female are prematurely affected by
sexual violence than males.
14. The next part talks about the localities in which the harassment takes place. We
can see from the bar graph that the peak of the graphs is highest in the case of the victims
own residential area than the other areas. This condition satisfies both males and females.
Therefore, we come to the conclusion that both males and females are affected by family and
domestic sexual violence in residential areas.

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15. At last, we can see a data presentation for the use of weapons during sexual
violence in the states of Australia. In this nation, people do not use weapons for sexual
violence. This fact has been confirmed from the graphical representation stated in this video.
The light blue bar lines are highest for the no weapon category for both males and females.
Therefore, we can conclude that no weapon criteria is majorly followed in the sexual violence
of Australia. An explanation for this issue can be given as using weapons can leave traces of
the crime the offenders do.
16. Finally, we hope a clear description of the family and domestic violence in
Australia has been provided. Thank you for your time and patience.

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References:
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Carline, A., Easteal, P. and Young, L., 2018. Domestic Violence, Property and Family Law in
Australia.
Daly, K., 2015. Sexual Violence and Justice. In Rape Justice(pp. 36-52). Palgrave
Macmillan, London.
Fitzgerald, R. and Graham, T., 2016. Assessing the risk of domestic violence
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Henry, N. and Powell, A., 2015. Embodied harms: Gender, shame, and technology-facilitated
sexual violence. Violence against women, 21(6), pp.758-779.
Klettke, B., Mellor, D. and Hallford, D., 2018. The effects of victim age, perceiver gender,
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Martins, R.N., Brennan, C.S., Fernando, W.B., Brennan, M.A. and Fuller, S.J., 2019.
Neurodegeneration and Alzheimer’s Disease.

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Mitchell, R.J., Seah, R., Ting, H.P., Curtis, K. and Foster, K., 2018. Intentional self‐harm and
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