Mortality estimates for years up to 2005 are based on Australian Bureau of Statistics death registration data. Data from 2006 onwards were provided by the Australian Coordinating Registry, Cause of Death Unit Record File; the data for the most 2 recent years are preliminary (SAPHaRI, Centre for Epidemiology and Evidence, NSW Ministry of Health)
Only NSW residents are included. Deaths are classified using ICD-10 classification and distributed according to ICD-10 chapters. Separate ICD-10 chapters on diseases of the nervous system, eye and ear and chapters on conditions relating to pregnancy, perinatal period and congenital diseases are combined into single categories in the analysis. Rates were age-adjusted using the Australian population as at 30 June 2001. LL/UL 95%CI = lower and upper limits of the 95% confidence interval for the point estimate.
Counts of deaths for the latest year of data include an estimate of the number of deaths occurring in that year but registered in the next year.
The Australian Bureau of Statistics (ABS) has produced measures of socioeconomic disadvantage from the 1971 Census. The Socio-Economic Indexes for Areas (SEIFA), in their present form, were first produced in 1990 and consisted of five indexes formed from the 1986 Census data (ABS).
There are four SEIFA indexes currently used. In each census year, the ABS assigns index SEIFA scores to non-overlapping geographical areas covering all Australia calculated from the various socioeconomic characteristics from the Census of the people living in areas.
Each index is a summary of a different subset of Census variables and focuses on a different aspect of socioeconomic advantage and disadvantage (ABS). The reference value for the whole of Australia is set to 1,000. Lower values indicate lower socioeconomic status.
The indexes are:
• Index of Relative Socio-Economic Disadvantage (IRSD)
• Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD)
• Index of Economic Resources (IER)
• Index of Education and Occupation (IEO).
In the IRSD, the constituent characteristics relate to occupation, education, non-English speaking background and the economic resources of the household. The proportion of Aboriginal people is no longer a constituent variable of IRSD from 2011 (ABS).
The score for each index is an ordinal measure with a mean of 1000 and standard deviation of 100 for Australia, and from 2011, based on the index scores of all Statistical Areas Level 1 (SA1) in Australia. Scores for larger geographic areas such as Local Government Areas (LGAs) and Postal Areas (POA) are population-weighted averages of scores in constituent SA1.
The overall scores for states are not available because as the size of an area increases, it becomes correspondingly more heterogeneous and the socioeconomic index becomes less and less meaningful. For very large areas, it is more useful to look at the distribution of SA1 scores within each area. The distributions of SA1 scores within each state and territory are available at the ABS web site (ABS).
The ABS has released SEIFA scores after the last five censuses. The methods used to calculate scores were similar in 1986, 1991 and 1996, but changed in 2001, 2006 and 2011. The major change in 2006 was that the census data used in the calculation of the indexes was based on people's usual area of residence rather than their location on census night (place of enumeration) and in 2011 a new geography standard was used and the proportion of Aboriginal people was no longer a constituent variable of IRSD (ABS).
In the Index of Relative Socio-Economic Disadvantage (IRSD), the constituent characteristics relate to occupation, education, non-English speaking background and the economic resources of the household. There are currently 16 variables contributing to the index and the proportion of Aboriginal people is no longer a constituent variable of IRSD from 2011 (ABS). This is the most frequently used and quoted SEIFA index.
The Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) consists of 25 contributing variables. They summarise information about the economic and social conditions of people and households within an area, including both relative advantage and disadvantage measures.
A low score indicates relatively greater disadvantage and a lack of advantage in general. For example, an area could have a low score if there are (among other things) many households with low incomes, or many people in unskilled occupations. A high score indicates a relative lack of disadvantage and greater advantage in general. For example, an area may have a high score if there are (among other things) many households with high incomes, or many people in skilled occupations (ABS)
The Index of Economic Resources (IER) focuses on the financial aspects of relative socioeconomic advantage and disadvantage, by summarising variables related to income and wealth. This index excludes education and occupation variables because they are not direct measures of economic resources. It also misses some assets such as savings or equities which, although relevant, could not be included because this information was not collected in the 2011 Census. There are 14 contributing variables. (ABS)
The Index of Education and Occupation (IEO) is designed to reflect the educational and occupational level of communities. The education variables in this index show either the level of qualification achieved or whether further education is being undertaken. The occupation variables classify the workforce into the major groups and skill levels of the Australian and New Zealand Standard Classification of Occupations (ANZSCO) and the unemployed. This index does not include any income variables. There are 9 variables contributing to the total score. (ABS)
Socioeconomic disadvantage is associated with a higher prevalence of health risk factors and higher rates of hospitalisations, deaths and other adverse health outcomes. Maps of socioeconomic disadvantage by LGA viewed in conjunction with maps of health outcomes can assist in identifying factors which may be associated with poorer outcomes.
In this report, the NSW population was divided into five groups based on the IRSD scores of their SLA of residence. This means that SLAs were sorted by IRSD score and assigned to population-weighted quintiles, each containing close to one-fifth of the total population. In some charts and data tables on HealthStats NSW, the quintiles were divided into three groups: the lowest SES population-weighted quintile, the highest SES population-weighted quintile, and the rest of the population, comprising the remaining three population-weighted quintiles.
Postal Areas (POAs) were grouped into quintiles of socioeconomic status based on the IRSD.
Adhikari P. Socio-economic indexes for areas: Introduction, use and future directions. ABS Catalogue no. 1351.0.55.015. Canberra: ABS, 2006.
Australian Bureau of Statistics. Socio-Economic Indexes for Areas (SEIFA) - Technical Paper, 2011. SEIFA Cat no 2033.0.55.001. Canberra: ABS, 2013. Available at http://www.abs.gov.au/ausstats/abs@.nsf/mf/2033.0.55.001
Australian Bureau of Statistics. 1996 Census of population and housing. Socioeconomic indexes for areas. 2039.0. Canberra: ABS, 1998. Available at http://www.ausstats.abs.gov.au/ausstats/free.nsf/0/C17E9A880591BB45CA256AE9001BCD57/$File/2039.0_1996.pdf
Australian Bureau of Statistics. Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia, 2011. Catalogue no 2033.0.55.001. Canberra: ABS, 2013. Available at http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/2033.0.55.001~2011~Main%20Features~Main%20Page~1
In order to complete a death registration in Australia, the death must be certified by either a doctor using the Medical Certificate of Cause of Death, or by a coroner. Natural causes are predominantly certified by doctors, whereas External and Unknown causes or unaccompanied deaths are usually certified by a Coroner. Approximately 85-90% of deaths each year are certified by a doctor and the remainder is reported to a Coroner. The death is registered in the state in which the death occurred, rather than the state in which the person resides. The Australian Cause of Death Statistics System is outlined by the Australian Bureau of Statistics at http://www.abs.gov.au/AUSSTATS/abs@.nsf/allprimarymainfeatures/47E19CA15036B04BCA2577570014668B?opendocument.
The Australian Bureau of Statistics (ABS) have implemented a revision process for Coroner certified deaths. Data are deemed preliminary when published for the first time, revised when published the following year and final when published two years after initial publication. This revision process, and the impact on specific causes are described at http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/3303.0Explanatory%20Notes12015?OpenDocument .
The Australian Bureau of Statistics publishes two publications every year: Deaths, Australia (Catalogue Number 3302.0) in November, eleven months after the end of the concerned year and Causes of death, Australia (Catalogue Number 3303.0), in March, fifteen months after the end of the year concerned.
The Australian Coordinating Registry (ACR) is an agency appointed coordinate access to coded cause of death unit record data on behalf of the Registrars of Births Deaths and Marriages in each state or territory as well as the Australian Bureau of Statistics and National Coronial Information System. The coordinating registry undertakes the coordination and management of the designated activity. The underlying legal responsibility is retained by the collective Registrars.
The ACR provides the NSW Ministry of Health with a national cause of death unit record file to allow detailed anaylsis of deaths data.
There is usually an interval between the occurrence and registration of a death which is related to the time of year or whether a death is refered to a Coroner. The registration of deaths which occur in November and December are likely to be delayed until the following year, for example, of all deaths in NSW registered in 2013, 6.9% occurred in 2012 or earlier (ABS 3302.0).
Deaths data reported by the ABS for the latest year are based on the year of registration therefore do not include deaths which occurred in that year but where registration was delayed. Deaths data reported in HealthStats NSW are based on the year of occurrence of the death. Estimates of missing deaths for the latest year due to delayed registration (ie due to time of year or Coronial cases) are imputed for each cause and included in the count for the reports in HealthStats NSW. A small percentage of death registrations may be delayed for more than one year. All deaths figures are updated historically (eg in trends) in this report when new data becomes available.
For the calculation of rates, the NSW Ministry of Health uses population projection estimates from the NSW Department of Planning and Environment. The estimated residential populations which are not projected are the same as those published by the ABS and are currently based on the 2016 Census. See Methods associated with indicators in topics Demography (or Population) for further discussion of population estimates.
Australian Bureau of Statistics. Deaths, Australia, latest year. 3302.0. Canberra: ABS, . Available at http://www.abs.gov.au/ausstats/abs@.nsf/mf/3302.0
Australian Bureau of Statistics. Causes of Deaths, Australia, latest year. 3303.0. Canberra: ABS, . Available at http://www.abs.gov.au/ausstats/abs@.nsf/mf/3303.0
Australian Bureau of Statistics. Multiple Cause of Deaths, Australia, 1997-2001. 3319.0.55.001. Canberra: ABS, . Available at http://www.abs.gov.au/ausstats/abs@.nsf/mf/3319.0.55.001
|Description||ICD-10 & ICD-10-AM||Comments|
|Infectious diseases||A00-B99||All records are included, NSW residents only, all ages.|
|Neoplasms - malignant||C00-C99|
|Neoplasms - other than malignant||D00-D48|
|Blood and immune diseases||D50-D89|
|Nervous and sense disorders||G00-H95|
|Circulatory diseases||I00-I99, Excluding I84|
|Digestive system diseases||K00-K93, I84|
|Maternal, neonatal and congenital causes||O00-Q99|
|Ill defined and unknown causes||R00-R99, U00-U49|
|Injury and poisoning (all external cause codes)||S00-T98, U50-U73, V01-Y89|
Haemorrhoids were classified as diseases of the circulatory system under ICD-10-AM Seventh edition (I84). In ICD-10-AM Eighth edition haemorrhoids are classified with diseases of the digestive system (K64). Consequently, haemorrhoids are not included in the total count of diseases of circulatory.
• In 2017, there were 52,613 deaths of residents in NSW. The number of deaths has increased by around 9% in the 10 years since 2008. However, the death rate has decreased by around 15% over this period due to an increasing population
• The age standardised death rate was 508.8 per 100,000 population in NSW in 2017.
• In 2017 the age-adjusted male death rate was around 48% higher than the female death rate (615.9 compared with 416.3 per 100,000 population respectively). This difference has declined from 51% over the last 10 years since 2008.
• In 2017, there were 277 infant deaths in NSW, which was 2.9 deaths per 1,000 live births. The infant mortality rate in Australia was 3.3 deaths per 1,000 live births in 2017.
Death or mortality statistics are published at regular intervals in most countries and usually show numbers and rates of deaths by sex, age and other variables. A death rate is an estimate of the proportion of the population that dies during a specified period (Last 2001). In this report it is expressed as the number of deaths per 100,000 population (person-years).
The proportion of people in different age groups varies between geographic areas and over time and can therefore influence death rate comparisons within these dimensions. Age-adjustment (also known as age-standardisation) allows for the comparison of death rates across geographic areas and over time after removing the effects of the different age structures in these dimensions.
Refer to the Methods tab for more information.
Death rates from all causes are low in Australia and NSW by international standards. The World Health Organization classifies Australia into an ‘A stratum’, with very low child and adult mortality. Comparisons by country reveal that the probability of dying between 15 and 60 years per 1,000 population (WHO calculated adult mortality rate) spans from around 50 in selected developed countries to just under 500 in some African counties. Australia’s rate was 61 per 1,000 in 2016, which placed it in 16th out of 183 reported countries (WHO 2018).
World Health Organization. World health statistics. Geneva: WHO. Available at: https://apps.who.int/gho/data/node.main.686?lang=en
Interventions aiming to reduce deaths rates in NSW are embedded in strategies dealing with specific health issues or specific disadvantaged populations.