4364.0.55.001 - National Health Survey: First Results, 2017-18  
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 12/12/2018   
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1 This publication presents key indicators from the 2017-18 National Health Survey (NHS), including information on:

    • the health status of the population, including long-term health conditions;
    • health risk factors such as smoking, Body Mass Index, diet, exercise and alcohol consumption; and
    • demographic and socioeconomic characteristics.

The 2017-18 NHS was conducted throughout Australia from July 2017 to June 2018. Previous surveys were conducted in 1989-90, 1995, 2001, 2004-05, 2007-08, 2011-12 and 2014-15. Health surveys conducted by the ABS in 1977-78 and 1983, while not part of the NHS series, also collected similar information.


3 The NHS was conducted from a sample of approximately 21,300 people in 16,400 private dwellings across Australia.

 Urban and rural areas in all states and territories were included, while Very Remote areas of Australia and discrete Aboriginal and Torres Strait Islander communities were excluded. These exclusions are unlikely to affect national estimates, and will only have a minor effect on aggregate estimates produced for individual states and territories, excepting the Northern Territory where the population living in Very Remote areas accounts for around 20.3% of persons.

 Non-private dwellings such as hotels, motels, hospitals, nursing homes and short-stay caravan parks were excluded from the survey. This may affect estimates of the number of people with some long-term health conditions (for example, conditions which may require periods of hospitalisation or long term care).

 Within each selected dwelling, one adult (18 years and over) and one child (0-17 years) were randomly selected for inclusion in the survey. This sub-sampling within households enabled more information to be collected from each respondent than would have been possible had all usual residents of selected dwellings been included in the survey. For the purposes of the NHS, a household was defined as one or more persons, at least one of whom is aged 18 years and over, usually resident in the same private dwelling.

 The following groups were excluded from the survey:
    • certain diplomatic personnel of overseas governments, customarily excluded from the Census and estimated resident population;
    • persons whose usual place of residence was outside Australia;
    • members of non-Australian Defence forces (and their dependents) stationed in Australia; and
    • visitors to private dwellings.


Dwellings were selected at random using a multistage area sample of private dwellings. The initial sample selected for the survey consisted of approximately 25,109 dwellings. This was reduced to a sample of 21,544 after sample loss (for example, households selected in the survey which had no residents in scope of the survey, vacant or derelict buildings, buildings under construction). Of those remaining dwellings, 16,384 (or 76.1%) were fully or adequately responding, yielding a total sample for the survey of 21,315 persons.



Households approached (after sample loss)
4 537
3 420
4 412
1 981
2 223
1 778
1 828
1 365
21 544
Households in sample
3 272
2 614
3 365
1 659
1 656
1 606
1 091
1 121
16 384
Response rate (%)
Persons in sample
4 273
3 419
4 412
2 056
2 168
2 016
1 479
1 492
21 315

9 To take account of possible seasonal effects on health characteristics, the sample was spread across the 12-month enumeration period. Analysis of previous health surveys has shown no seasonal bias across key estimates.


10 Trained ABS interviewers conducted personal interviews with selected residents in sampled dwellings. One adult (aged 18 years and over) in each dwelling was selected and interviewed about their own health characteristics as well as information about the household (for example, income of other household members). An adult, nominated by the household, was interviewed about one child in the household. Some children aged 15-17 years may have been personally interviewed with parental consent. 


11 Weighting is a process of adjusting results from a sample survey to infer results for the in-scope total population. To do this, a weight is allocated to each sample unit; for example, a household or a person. The weight is a value which indicates how many population units are represented by the sample unit. 

 The first step in calculating weights for each person was to assign an initial weight, which was equal to the inverse of the probability of being selected in the survey. For example, if the probability of a person being selected in the survey was 1 in 600, then the person would have an initial weight of 600 (that is, they represent 600 others). An adjustment was then made to these initial weights to account for the time period in which a person was assigned to be enumerated.

 The weights are calibrated to align with independent estimates of the population of interest, referred to as 'benchmarks', in designated categories of sex by age by area of usual residence. Weights calibrated against population benchmarks in this way compensate for over or under-enumeration of particular categories of persons and ensure that the survey estimates conform to the independently estimated distribution of the population by age, sex and area of usual residence, rather than to the distribution within the sample itself. 

 The NHS was benchmarked to the estimated resident population living in private dwellings in non-Very Remote areas of Australia at 31 December 2017. Excluded from these benchmarks were persons living in discrete Aboriginal and Torres Strait Islander communities. The benchmarks, and hence the estimates from the survey, do not (and are not intended to) match estimates of the total Australian resident population (which include persons living in Very Remote areas or in non-private dwellings, such as hotels) obtained from other sources.

In 2017-18, data from the NHS and the Survey of Income and Housing (SIH) was combined to produce the National Health Survey and Survey of Income and Housing pooled dataset (NHS/SIH) and enable more accurate smoker status estimates. This dataset was also benchmarked to the above population to produce weights for this dataset. In addition, to preserve consistency between the two datasets, the NHS data was also benchmarked to the pooled NHS/SIH dataset by age, sex, area of usual residence and smoker status. This means that unperturbed smoker estimates will be identical between the NHS data and the NHS/SIH data at these cross-classifications.

16 Survey estimates of counts of persons are obtained by summing the weights of persons with the characteristic of interest. Estimates of non-person counts (for example, number of health conditions) are obtained by multiplying the characteristic of interest with the weight of the reporting person and aggregating. 


17 All sample surveys are subject to sampling and non-sampling error.

 Sampling error is the difference between estimates, derived from a sample of persons, and the value that would have been produced if all persons in scope of the survey had been included. Indications of the level of sampling error are given by the Relative Standard Error (RSE) and 95% Margin of Error (MoE). For more information refer to the Technical Note - Reliability of Estimates.

 In this publication, estimates with an RSE of 25% to 50% are preceded by an asterisk (e.g. *3.4) to indicate that the estimate has a high level of sampling error relative to the size of the estimate, and should be used with caution. Estimates with an RSE over 50% are indicated by a double asterisk (e.g. **0.6) and are generally considered too unreliable for most purposes.

 Margins of Error are provided for proportions to assist users in assessing the reliability of these data. Estimates of proportions with an MoE more than 10% are annotated to indicate they are subject to high sample variability and particular consideration should be given to the MoE when using these estimates. Depending on how the estimate is to be used, an MoE greater than 10% may be considered too large to inform decisions. In addition, estimates with a corresponding standard 95% confidence interval that includes 0% or 100% are annotated with a # to indicate that they are usually considered unreliable for most purposes.

 Non-sampling error may occur in any data collection, whether it is based on a sample or a full count such as a census. Non-sampling errors occur when survey processes work less effectively than intended. Sources of non-sampling error include non-response, errors in reporting by respondents or in recording of answers by interviewers, and errors in coding and processing data.

 Non-response occurs when people are unable to or do not cooperate, or cannot be contacted. Non-response can affect the reliability of results and can introduce a bias. The magnitude of any bias depends on the rate of non-response and the extent of the difference between the characteristics of those people who responded to the survey and those who did not. 

 In the 2017-18 NHS, measurements of height, weight and waist circumference were taken of respondents aged 2 years and over, while blood pressure was also measured for adult respondents (aged 18 years and over). While these items had relatively high non-response rates, analysis indicated no bias existed in the non-responding population. Imputation was been used to obtain values for respondents for whom physical measurements were not taken. For more information see Appendix 2: Physical measurements in the 2017-18 National Health Survey.

24 The following methods were adopted to reduce the level and impact of non-response:
    • face-to-face interviews with respondents;
    • the use of proxy interviews in cases where language difficulties were encountered, noting the interpreter was typically a family member;
    • follow-up of respondents if there was initially no response; and
    • weighting to population benchmarks to reduce non-response bias;


25 Care has been taken to ensure that results are as accurate as possible. This includes thorough design and testing of the questionnaire, interviews being conducted by trained ABS Interviewers, and quality control procedures throughout data collection, processing and output. There remain, however, other factors which may have affected the reliability of results, and for which no specific adjustments can be made. The following factors should be considered when interpreting these estimates:
    • Information recorded in the survey is essentially 'as reported' by respondents, and hence may differ from information available from other sources or collected using different methodology; for example, information about health conditions is self-reported and, while not directly based on a diagnosis by a medical practitioner in the survey, respondents were asked whether they had ever been told by a doctor or nurse that they had a particular health condition. Conditions which have a greater effect on people's wellbeing or lifestyle, or those specifically mentioned in survey questions, are expected in general to have been better reported than others;
    • Some respondents may have provided responses that they felt were expected, rather than those that accurately reflected their own situation. Every effort has been made to minimise such bias through the development and use of appropriate survey methodology;
    • Results from previous surveys indicate a tendency for respondents to under-report consumption of alcohol; and
    • Under-reporting of young persons identifying as current smokers may have occurred due to social pressures, particularly in cases where other household members were present at the interview. 

Comparability with previous National Health Surveys

26 Data for 2017-18 are comparable with earlier surveys, with some exceptions:
    • In 2017-18 an additional example "32. Learning difficulties, including dyslexia" was added to Prompt Card O2, for the Mental, Cognitive and Behavioural Conditions module. All other items remain the same and have been coded consistently with 2014-15 (as above);
    • In NHS 2017-18 a shorter version of the standard ABS Income questionnaire module for Household Surveys for the collection of 'Total Personal Income' and 'Total Household Income' was introduced. Overall data for 'Total Personal Income' and 'Total Household Income' is comparable between NHS 2017-18 and NHS 2014-15, however the breakdown by type of government pension is not available for NHS 2017-18 .
    • A new module regarding clients of the Department of Veterans' Affairs (DVA) has been added to NHS 2017-18, this should not be confused with the item used in previous NHS which presented data regarding persons who hold a "DVA Health Card";
    • Age ranges for two Disability items have been changed. In NHS 2014-15 the Item 'Whether has an education restriction' was limited to those aged 5 to 20 years, for 2017-18 this age range is persons aged 4 or more years, recognising that an education restriction can exist outside of school years and be life long. Similarly, the age range for 'Whether has an employment restriction' has been changed from 15 to 64 years to persons aged 15 years or more. Apart from this, the items are consistent with previous NHS;
    • New scales allowing measurements of up to 200kg were used in NHS 2017-18. In addition, a new stadiometer was used to measure height for greater accuracy. For this reason, an additional height measure was taken to analyse variation for Quality Assurance. Despite these changes, the estimates are considered comparable with 2014-15.
    • In line with Census 2016 a number of standard classifications used in the NHS have been updated in 2017-18, these include: Standard Australian Classification of Countries (SACC), 2016 (Country of Birth), Australian Standard Classification of Languages (ASCL) 2016 (Main language spoken at home), Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 - Coder 2018 (Industry of Main Job) and ANZSCO - Occupation Classification and Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia 2016. More information about these can be found on the ABS website. https://www.abs.gov.au/classifications

 In 2014-15 and 2017-18, a module specifically dedicated to mental and behavioural conditions was included in the NHS to collect information on cognitive, organic and behavioural conditions. In previous NHS cycles, mental and behavioural conditions were collected in a module that included a wide range of long-term health conditions. The number of persons who reported having a mental and behavioural condition in 2014-15 increased from the 2011-12 NHS, potentially due to the greater prominence of mental and behavioural conditions in the new module. Data on mental and behavioural conditions for 2014-15 and 2017-18 are therefore not comparable with data in previous National Health Surveys.

28 Estimates of people with mental or behavioural conditions from the NHS will differ from those obtained from a diagnostic tool such as that used in the 2007 National Survey of Mental Health and Wellbeing.

For the 2017-18 NHS cycle, the smoking questionnaire module was used in both the NHS and the 2017-18 Survey of Income and Housing (SIH) to produce a larger sample size for more accurate smoker status estimates. The pooled dataset is known as the National Health Survey and Survey of Income and Housing (NHIH) and will contain data items common to both NHS and SIH such as age, sex, country of birth and those from the smoking module. In this publication, this pooled dataset is used whenever possible to produce estimates with smaller errors. The NHS dataset is used for items collected only in the NHS for example smoking status by BMI. The following table compares results produced from the NHIH and the NHS 2017-18 on its own. Note that the pooled dataset was used solely for smoker status and not consumption of cigarettes.

National Health Survey and Survey of Income and Housing (pooled dataset)
Estimate ('000)
RSE of Estimate 
Proportion (%)
MoE of Proportion 
Smoker status 
 Current smoker
2 567.0
    Other (a) 
    Total current smoker
2 824.8
5 440.8
  Never smoked
10 388.1
  Total persons aged 18 years and over (b)
18 654.2

National Health Survey, 2017-18
Estimate ('000)
RSE of Estimate 
Proportion (%)
MoE of Proportion 
Smoker status 
 Current smoker
2 568.1
    Other (a) 
    Total current smoker
2 840.3
5 585.6
  Never smoked
10 227.3
  Total persons aged 18 years and over (b)
18 656.2

(a) Includes current smoker weekly (at least once a week, but not daily) and current smoker less than weekly.
(b) Discrepancy between 'Total persons aged 18 years and over' are due to random adjustments to avoid the release of confidential data.

When interpreting changes over time or differences between population groups (for example, between males and females), reliability of estimates should be taken into account. All comparisons in this publication were tested for statistical significance at the 95% level of confidence; for more information see Technical Note - Reliability of Estimates.


31 Long-term health conditions reported by respondents in the NHS are presented using a classification originally developed for the 2001 NHS by the Family Medicine Research Centre, University of Sydney, in conjunction with the ABS. The classification is based on the 10th revision of the International Classification of Diseases (ICD) and is used for all years from 2001 to 2017-18.

 Country of birth is classified to the Standard Australian Classification of Countries (cat. no. 1269.0).

 Main language spoken at home is classified according to the Australian Standard Classification of Languages (cat. no. 1267.0).

 Descriptions of data items such as Body Mass Index and the Kessler Psychological Distress Scale (K10) are included in the Glossary to this publication.


35 The Census and Statistics Act, 1905 provides the authority for the ABS to collect statistical information, and requires that statistical output shall not be published or disseminated in a manner that is likely to enable the identification of a particular person or organisation. This requirement means that the ABS must take care and make assurances that any statistical information about individual respondents cannot be derived from published data.

 To minimise the risk of identifying individuals in aggregate statistics, a technique known as perturbation is used to randomly adjust cell values. Perturbation involves a small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. After perturbation, a given published cell value will be consistent across all tables. However, adding up cell values to derive a total will not necessarily give the same result as published totals. 

 Perturbation has been applied to 2014–15 and 2017–18 data. Data from previous NHS presented in this publication have not been perturbed, but have been confidentialised if required using suppression of cells.


38 Estimates presented in this publication have been rounded. 

 Proportions presented in this publication are based on unrounded estimates. Calculations using rounded estimates may differ from those published.


40 ABS publications draw extensively on information provided freely by individuals, businesses, governments and other organisations. Their continued cooperation is very much appreciated; without it, the wide range of statistics published by the ABS would not be available. Information received by the ABS is treated in strict confidence as required by the Census and Statistics Act, 1905.


41 Summary results from the NHS are available in spreadsheet form from the 'Downloads' tab in this release. The statistics presented are only a selection of the information collected. 

 For users who wish to undertake more detailed analysis, a TableBuilder product for the 2017-18 NHS is expected to be available in the second quarter of 2019. TableBuilder is an online tool for creating tables from ABS survey data, where variables can be selected for cross-tabulation. It has been developed to complement the existing suite of ABS microdata products and services including Census TableBuilder and CURFs. Further information about ABS microdata, including conditions of use, is available via the Microdata section on the ABS website.

 Customised tabulations are available on request. Subject to confidentiality and sampling variability constraints, tabulations can be produced from the survey incorporating data items, populations and geographic areas selected to meet individual requirements. 


44 Other ABS publications which may be of interest are shown under the 'Related Information' tab of this release. 

 Current publications and other products released by the ABS are listed on the ABS website. The ABS also issues a daily Release Advice on the website which details products to be released in the week ahead.