Data Visualizations help understand raw data and enable us make decision on issues related to the field of research. Here in this blog, we are showing the power of visualization for data collected on causes of death from year 2007 to year 2013. There require an independent and detailed survey to explain the causes of death within indigenous and non-indigenous Australians being attributed to “natural causes” and the young ages of those dying, according to a Fremantle-based PhD researcher and human rights campaigner.
As a student of higher studies studying in Victoria University, we are obliged enough to work with the profound luminaries of this reputed institution. We briefly explained the causes of death between indigenous and non-indigenous Australian by Visualizing the authentic report data by Australian Bureau of Statistics which we analyzed using SAP Lumira tool.
In order to do justice with the blog, I decided to analyze the data on the causes of death which are important and relevant to health and social policy formulation and planning as well as health related research and analysis with respect to indigenous and non-indigenous Australians only. In 2013 in Australia, there were 2811 deaths registered across Australia and they constituted indigenous Australians by origin. The statistical representation was 1.9 % of all deaths registered. One of the leading causes of death among indigenous Australians is the infant mortality and for 2009-2013, the infant mortality rate was higher than that of non-indigenous Australians. Here are the leading causes of death within various regions of Australia published by WHO
Indigenous and Non-Indigenous Australian Statics on Causes of Death
According to the term “Aboriginal” it is traditionally applied to the indigenous inhabitants of mainland Australia and Tasmania. As a matter of fact, indigenous Australians is an expressive term used when referring to inhabitant of Australia having different thoughts and beliefs. And non-indigenous Australian are the ones who are not inhabitant of the main land but the migrants.
Ranking causes of death is a useful method of describing patterns of mortality in a population. It allows comparison over time and between populations. However, different methods of grouping causes of death can result in a vastly different list of leading causes for any given population. The listing of leading causes used by the ABS is based on the number of deaths, so is determined according to incidence of mortality rather than premature of mortality. The table below talks about the different causes of death in Australians and their ranking
In view of this data, the causes of death statistics are gathered from year 2007 to 2013 and a visualization is put forward to make the information helpful to analyse for better health outcomes.
Causes of Death in Indigenous and Non-Indigenous Australians (ABS, Australian Bureau of Statistics – 2013, 2015)
SAP Lumira Visualization
A variety of measures of mortality indicate that the mortality level of Aboriginal and Torres Strait Islander persons is substantially higher than that of the non-Indigenous population. Caution should be exercised when undertaking analysis of Aboriginal and Torres Strait Islander deaths and mortality and, in particular, trends in Aboriginal and Torres Strait Islander mortality.
There are different number of death causes in different regions like NSW, Qld, NT, SA and WA. This is due to the people expose to different living conditions or different levels of medical availability. In this visualization there is an increase number of causes in 2007 compare to 2013. The amount of causes of death is different and has a wide difference in both the group which is being visualized below.
There is a comparison made between indigenous and non-indigenous Australians and can see that the deaths have more in non-indigenous population compare to other group. The highest deaths occur in the year 2009 for both the groups. There is an improvement in the reduction of deaths from 2007 to 2013 which is due to the health awareness among individuals, sophisticated technologies, etc.
Further dividing the population on gender there is a wide variation in the death rate between these groups. As shown below, the female death rate is predominantly more compare to male in each group in different years.
There require a more caution and efforts required in case of male population in both the group. There is a high death rate of males compared to female in each year due to diseases like Ischaemic heart diseases, Chronic lower respiratory diseases and Diabetes. Upon visualizing the top three causes of death, it is viewed that Ischaemic heart diseases, Chronic lower respiratory diseases and Diabetes are the top ranking causes. When analysed New South Wales is the most predominant region that have more deaths compared to other regions and the particular region is taken into consideration. below visualization talks about the same.
A comparison is made between years 2007 and 2013 and it is viewed that the number of death rate is comparatively less in 2013. As seen in below visualization, the comparison is done with respect to different Australian region and in every region is a reduction rate compare to earlier years. This trend shows that the standard of life is increasing and there is much development happened in the field of health and medicines. The basic reason for this kind of trend can be heath awareness among individuals and introduction of sophisticated technology in place.
Australian Bureau of Statistics help government and policy makers to analyze the data and create a healthy livelihood. Data visualization help understand and make decisions on health issues concerning deaths in indigenous and non-indigenous group. As viewed there is more deaths for non-indigenous Australians and there require a more support required from government and insurance companies to bring about compatible heath package to overcome these death rate.
- ABS. (2009, March 18). Australian Bureau of Statistics – 2007. Retrieved October 05, 2015, from www.abs.gov.au: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3303.02007?OpenDocument
- ABS. (2010, March 31). Australian Bureau of Statistics – 2008. Retrieved October 05, 2015, from www.abs.gov.au: http://www.abs.gov.au/ausstats/abs@.nsf/detailspage/3303.02008
- ABS. (2011, May 03). Australian Bureau of Statistics – 2009. Retrieved October 05, 2015, from www.abs.gov.au: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3303.02009?OpenDocument
- ABS. (2012, March 20). Australian Bureau of Statistics – 2010. Retrieved from www.abs.gov.au: http://www.abs.gov.au/ausstats/abs@.nsf/0/6BAD463E482C6970CA2579C6000F6AF7?opendocument
- ABS. (2013, March 15). Australian Bureau of Statistics – 2011. Retrieved October 05, 2015, from www.abs.gov.au: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/3303.0Chapter42011
- ABS. (2015, March 31). Australian Bureau of Statistics – 2012. Retrieved October 05, 2015, from www.abs.gov.au: http://www.abs.gov.au/ausstats/abs@.nsf/mf/3303.0
- ABS. (2015, March 31). Australian Bureau of Statistics – 2013. Retrieved October 03, 2015, from www.abs.gov.au: http://www.abs.gov.au/ausstats/abs@.nsf/mf/3303.0