Technical notes

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Data presented in this web report are sourced from a range of data collections. The latest data have been used wherever possible. Data are subject to change due to:

  • the nature and timing of the data collection;
  • a regular program of updates and maintenance;
  • and revisions to address errors or anomalies.

Revisions and changes in coverage should be considered when interpreting changes over time.

Descriptions of the data sources used in this web report are below. These include information on the data provider and data specifications such as remoteness classification, cultural and linguistic diversity (CALD) definition and sex or gender definition.

Sex and gender

This report uses the terms female/male and women/men interchangeably, unless otherwise stated under data specifications for each indicator. However, it is often not clear from the data sources whether these terms relate to sex or gender. Most data sources are based on surveys or service provision records where a person is likely to record how they identify, so the term ‘gender’ is used, except where the data supplier has requested otherwise. Indicators that may include data relating to children use the term ‘sex or gender’. ‘Other’ or ‘non-binary’ categories are not presented separately in the report due to low counts but may be combined with an ‘unknown’ or ‘missing’ category and included in the Supplementary data tables where available. Reporting will be updated in the future if data permit.

Remoteness areas

Two remoteness classifications are used in this report: the Australian Statistical Geography Standard (ASGS) Remoteness Structure and the Modified Monash Model (MMM). For more information about the impact of geographic location on health outcomes, see Rural and remote health.

Significance testing

When comparing two different estimates, it is important to determine whether the difference is likely to reflect a true difference in the underlying population or whether it may be due to sampling error. This process is called ‘significance testing’. There are several variables that are used to calculate whether two estimates are significantly different – the size of the difference, the variability in the sample collected (which indicates the level of sampling error present), and the size of the sample. Sometimes, even large apparent differences may not be statistically significant. This is particularly the case where there are small sample sizes. Conversely, with a sufficiently large sample, small changes are more likely to be statistically significant.

In this report, significance testing was available for the following data sources, and is described in the sections below:

Data sources

Australian Dementia Network (ADNeT) Registry

The Australian Dementia Network (ADNeT) Registry is a clinical quality registry for people newly diagnosed with dementia or mild cognitive impairment (MCI). Aggregated data was provided to the AIHW through a data request.

ADNeT Registry participating sites are specialised clinical services where dementia and MCI are diagnosed. These include multi-disciplinary memory and cognitive disorders clinics, other specialised dementia and MCI diagnostic services, aged care outreach services, as well as single-discipline medical practitioners (for example, geriatricians, neurologists, and psychiatrists). Sites represent both public and private services and include clinics that deliver some or all their services via telehealth. Site participation in the ADNeT Registry is voluntary.

The ADNeT Registry has ethical approval from the Alfred Hospital Human Research Ethics Committee under the National Mutual Acceptance Scheme (Project Number: 44037). Eligible participants for the ADNeT Registry are individuals aged 18 years and over who receive a new diagnosis of either dementia or MCI at a participating site. After a participant is deemed eligible by the participating site, they are recruited using an opt-out approach. A participant may be recruited using a waiver of consent in certain circumstances (for example, the participant has impaired decision-making capacity and does not have a person responsible who can make decisions on their behalf).

Participating sites enter data for eligible participants at the time of diagnosis, based on the ADNeT Registry Minimum Data Set. These data include personal identifiers, demographics, and relevant clinical details pertaining to diagnostic work-up, diagnosis, cognition, function, comorbidities, and aspects of initial management.

After a participant is recruited into the Registry, where appropriate, data on health and wellbeing and the experience of clinical care at the participating site are collected via surveys completed by the participants and their carers (if identified). These surveys have been developed by a working group comprising representatives of people with lived experience, carers, peak bodies, clinicians, and researchers, and underwent consultation with people with living experience of dementia and MCI and their carers (facilitated by Dementia Australia).

ADNeT Registry data may not be representative of all people being diagnosed with dementia or MCI in specialist diagnostic services across Australia. In 2024, 74 services participated across Australia: 54 services were located in Major cities, 14 in Inner regional areas, 6 in Outer regional areas, and none were located in Remote or Very remote areas. Nationally representative data on specialist diagnostic services are needed to complement ADNeT Registry data and better understand the national impact of the Action Plan. The ADNeT Registry expanded in July 2025 to collect post-market surveillance data on disease-modifying therapies that are approved in Australia for people living with dementia or MCI.

Indicators reflect baseline values from the 2024 reference period. Additional data from 2020-2023 are included in the supplementary tables. 

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

Aged Care Provider Workforce Survey

The 2023 Aged Care Provider Workforce Survey provides the government with information on the size, composition and characteristics of the aged care workforce in residential aged care and in-home care settings.

The survey captures information across five key industry service care types:

  • Residential Aged Care (RAC) services
  • the Home Care Packages Program (HCPP)
  • the Commonwealth Home Support Program (CHSP)
  • the Multi-Purpose Services (MPS) Program
  • the National Aboriginal and Torres Strait Islander Flexible Aged Care (NATSIFAC) Program.

Information was collected from in-scope active registered services which employed direct care staff (nurses, personal care workers or allied health staff) and had one or more eligible aged care clients during the reporting period. Services were asked to provide information relevant to the first fortnightly pay period in March 2023.

The sampling design involved 3,000 services who were invited to participate in the survey. Of those invited, 1,401 services provided submissions, giving an overall response rate of 47%. Importantly, weighting was used, so that the population estimates align with known population proportions. While this aims to reduce the impact of non-response bias, some unknown level of bias will remain, particularly for survey questions with a high proportion of non-response. Headcounts presented are weighted estimates. Headcount estimates may overstate the size of the workforce where staff work for multiple providers or across different service care types.

For more on the survey methods and data considerations, see the Data quality statement.

The baseline indicator value is based on the 2023 survey. For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

 

Carer Wellbeing Survey

Indicators measuring the needs, access to services, and wellbeing of carers of people living with dementia come from the Carer Wellbeing Survey (CWS). In the most recent year available (2024), 9,166 carers participated across Australia.

The CWS data used in this report were collected between February and April, 2024. The CWS was initiated and is managed by the WellRes Unit, University of Canberra and Carers Australia, and is funded by Australian Research Council (ARC) Industry Fellowship Grants, and by Department of Social Services funding provided through Carers Australia. The findings and views reported in this publication, however, are those of the AIHW and should not be attributed to either the funders or managers of the CWS. The CWS was approved by the University of Canberra Human Research Ethics Committee, protocol number HREC 1887.

Participants could complete the survey online or on a paper form, which was translated into simplified Chinese, Arabic, Italian and Vietnamese. In 2024, CWS recruited participants by: inviting previous survey participants; through care provider organisations (via client email lists); through carer representative organisations (including websites and social media channels), and through social media advertising (including some advertising in different languages the survey is available in). A prize draw was offered to encourage participation in the survey.

Methods used to collect data in the 2024 CWS are described further in the CWS User Guide (Mylek and Schirmer 2025), available at  https://www.regionalwellbeing.org.au/carer-wellbeing-survey/

AIHW analysis of CWS data are reported as weighted percentages (Mylek and Schirmer 2025). To ensure reliability of comparisons presented, only percentages with a relative standard error of less than 25% are reported. Statistical significance (or non-significance) of differences in proportions between population groups has been calculated based on a two-proportion z-test using weighted proportions.

Remoteness area in the CWS uses the Australian Statistical Geography Standard (ASGS) Remoteness Structure. In this report ‘regional or remote’ incorporates the categories of Inner regional, Outer regional, Remote and Very remote.

The CWS asks about the gender respondents identify as, with response options ‘female’, ‘male’, ‘other (e.g. non-binary, gender-fluid, no gender)’ and ‘Prefer not to answer’. The survey does not ask about sex assigned at birth. Results in this report are only presented for male and female as counts for ‘other’ and ‘prefer not to answer’ were too low to report.

While other demographic information is collected in the CWS, these were not presented in the current report due to low counts and/or high relative standard errors.

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

 

Dementia Australia

Indicators measuring the use of Dementia Australia services, and client satisfaction with services, come from Dementia Australia. Dementia Australia collect a limited range of data for the purposes of understanding their clientele, what groups in Australia seek or do not seek their supports, and for annual reporting and acquittals to their funders, including the Australian Department of Health, Disability and Ageing. Aggregated data was provided free of charge by Dementia Australia to the AIHW. The findings and views reported in this publication are those of the AIHW and should not be attributed to either Dementia Australia or their funders. 

Data from Dementia Australia are reported as raw tallies or percentages. Readers are advised that Dementia Australia do not always collect data for enquirers calling the National Dementia Helpline, and that the data that is collected may be incomplete. This is due to the complexity of calls and/or level of distress of the client. This means that while it is important for governments to understand how many people from priority groups receive support from Dementia Australia, coding this information is not the main task or priority in a Dementia Australia National Dementia Helpline interaction. Indicators based on data from Dementia Australia are therefore indicative only. The Dementia Australia client survey is sent to program participants twice annually and data used in this report are from aggregated November 2023 and May 2024 surveys.

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

Dementia Awareness Survey

The Dementia Awareness Survey (DAS) was first run in 2023, surveying more than 5,400 Australian adults to understand general knowledge of dementia and dementia risk factors, and community attitudes towards dementia and people living with dementia in Australia.

The Australian Government Department of Health, Disability and Ageing commissioned the AIHW to manage the Dementia Awareness Survey, and the AIHW commissioned the Social Research Centre to conduct the survey fieldwork.

Significance testing: some Dementia Awareness Survey figures include 95% confidence intervals (CI): the range between the lower and upper 95% CI contains the true value of the percentage, with 95% confidence. These have not been adjusted for other demographic factors such as age, gender or remoteness, and differences between groups may not be present when adjustment has been made. The p value was used to determine if the difference between the reference group and other group/s was statistically significant. P values were calculated using a regression model that adjusted for other demographic factors, including age, gender and remoteness. A difference was deemed to be statistically significant if the chance of seeing the observed difference under the null hypothesis was less than 5% (p <0.05).

For more detailed data, including the counts used to calculate proportions, see the Supplementary data tables. Comprehensive technical notes detailing survey methodology, questionnaire design, sampling and weighting are available from the Dementia Awareness Survey technical notes.

Dementia Support Australia

Dementia Support Australia (DSA) represents a series of federally funded programs run by HammondCare that help formal and informal care givers support a person living with dementia.

Aggregated demographic data about DSA clients are used in this report. This means AIHW has not received any personal information about any people living with dementia or their carers who have been assisted by DSA. Aggregated data was provided free of charge by DSA to the AIHW. All numbers from DSA have been rounded to the nearest multiple of 5, 10 or 100.

The findings and views reported in this publication are those of the AIHW and should not be attributed to either DSA, HammondCare, or their funders.

Data were provided for services delivered from January 2019 to December 2024, with 2024 data used as the baseline indicator value.

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

Dementia Training Australia

These data come from Dementia Training Australia (DTA). DTA is a consortium funded by the Australian Government to provide education and training on the care of people living with dementia, across Australia.

It is important to note that DTA is a major provider, but is not the only provider, of dementia-specific training. Data from other organisations are not currently available.

The indicator reports the number of occasions of dementia training completed through DTA in 2024: if a person completed more than one course during a period, they would be counted more than once. The indicator is presented as a raw number because there are currently no suitable denominator data that represent the total number in the target population.

Data on breakdowns by different population groups are currently only available for people who completed an online DTA course in 2024, whereas the baseline indicator value includes people who completed any DTA course (whether online and face-to-face). DTA has advised the AIHW that the demographic profiles are likely to be similar. 

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

National Carer Survey

The National Carer Survey (NCS) is a survey of carers in Australia run every two years by Carers NSW with the support of the state and territory carer organisations. In the most recent year available (2024), 10,096 carers were surveyed across Australia. The survey is funded by the NSW Department of Communities and Justice. 

Aggregated data from the NCS were provided free of charge by Carers NSW to the AIHW. All indicators use the 2024 survey data for baseline values. The AIHW calculated 95% confidence intervals around the proportion. Statistical significance (or non-significance) of differences in proportions between population groups has been calculated based on a two-proportion z-test.

While various demographic information is collected in the NCS, those with low counts and/or high relative standard errors are not presented in this report.

Remoteness area in the NCS uses the Australian Statistical Geography Standard (ASGS) Remoteness Structure. In this report ‘regional or remote’ incorporates the categories of Inner regional, Outer regional, Remote and Very remote.

While the NCS may under-represent carers who are not well connected with carer organisations and supports, it still provides important insights into the experiences of carers of people living with dementia.

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

National Centre for Vocational Education Research (NCVER)

The National Centre for Vocational Education Research (NCVER) produces a range of data on Australia’s Vocational Education and Training (VET) system (delivered via both public and private providers) including students, participation, courses and qualifications. Data on students and courses are supplied from the National VET Provider Collection.

Data are collected annually for all training activity and quarterly for government-funded training. The latest year of data available is 2024. Time trends include data from 2020 to 2024.

For this report, the AIHW used NCVER’s publicly available DataBuilder to extract the number of people who completed a vocational training subject about dementia as part of their VET course. 

Numbers are rounded to the nearest 5. Caution should be taken when using data with a 'not known' response. Data are reported as 'not known' for several reasons, including information was not collected or invalid. Data exclude students with an offshore training delivery location.

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

National Disability Insurance Scheme (NDIS)

These data come from AIHW analysis of National Disability Insurance Scheme (NDIS) data in the Person Level Integrated Data Asset (PLIDA) in the Australian Bureau of Statistics’ DataLab.

Data included in this report were based on data extracts available in PLIDA at the time of analysis (August 2025), so there may be differences in the numbers published in this report and other reports.

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

For more information on PLIDA, see Australian Bureau of Statistics (ABS) – Data assets.

National Health Data Hub (NHDH)

The National Health Data Hub (NHDH 2021–22) is a longitudinal, person-focused and de-identified health linkage system that comprises data from state and territory, Commonwealth and non-government data sources.

The NHDH is the only linked asset that brings together hospital data on admitted patient care services, emergency department services and outpatient services for all public (and where available, private) hospitals in New South Wales, Victoria, Queensland, South Australia, Tasmania and the Australian Capital Territory. The NHDH also contains datasets relating to pharmaceuticals, health service use, aged care, deaths, disability, intensive care and immunisation information. As of August 2025, it covered data spanning from 1 January 1997 to 30 June 2024, though temporal scope varied by dataset.  

Dementia Identification Criteria:

A person was identified as having dementia if they had at least one of the following in NHDH at least 5 years prior to or during the financial year of interest: 

  • A dementia-specific medication dispensed through the PBS/ RPBS.
  • A principal or additional diagnosis of dementia in an emergency department (ED) presentation or hospital admission.
  • A supplementary chronic condition code of dementia in a hospital admission.
  • A record of dementia in datasets from the National Aged Care Data Clearinghouse (NACDC) including the Aged Care Assessment Program (ACAP) and National Screening Assessment Form (NSAF).

A person could also be identified with dementia if it was recorded as an underlying or additional cause of death during or 6 months after the financial year of interest (Figure T1).

The study cohort was also restricted to people who had at least one Medicare Benefits Schedule (MBS) record during the financial year of interest and to people who did not have missing age information.

Methodological approach to tracking indicators:

Only records from ‘continuous’ datasets were used, that is, datasets that are unlikely to conclude or that have known replacements capable of identifying people with dementia (Figure T2). This supports more robust comparisons in changes of the indicator over time and helps determine whether they signal progress.

A moving lookback window and the use of continuous datasets ensures that observed changes in indicators over time are less likely to reflect inconsistent inclusion criteria over time for the cohort. This method also allows focus on use of services over time for people with dementia, without the need to compare to a non-dementia group at each time point, reducing complexity and the potential for variability or noise to affect observed trends.

Figure T1: Data collection periods by year of interest

* PBS/ RPBS – Pharmaceutical Benefits Scheme and Repatriation Pharmaceutical Benefits Scheme

Figure T2: Datasets used to identify people with dementia


* Private hospital data for the ACT and Victoria includes some but not all private hospitals.

** Includes complete census of licensed private hospitals in Queensland. This includes private psychiatric hospitals.  

*** On July 1, 2015, supplementary codes for chronic conditions were implemented in admitted patient care data.

NDI – National Death Index; ACAP – Aged Care Assessment Program; NSAF – National Screening Assessment Form; PBS/ RPBS – Pharmaceutical Benefits Scheme and Repatriation Pharmaceutical Benefits Scheme; APC – Admitted Patient Care; ED – Emergency Department.


It should be borne in mind when exploring the results of this report that NHDH data may not be representative of all people living with dementia across Australia, with some people not accessing services offered by the included NHDH data sources.

Table T12 outlines the codes used in each individual dataset to identify dementia and the classification system used in each dataset.


The Medicare Benefits Schedule (MBS) data collection contains claims data for Medicare services subsidised by the Australian Government. These services include GP Chronic Disease Management Plans and medication management reviews.

People may receive these services in ways that are not captured in MBS data, including services delivered under Department of Veterans’ Affairs arrangements; services provided through hospitals; services provided under a state-funded service; and services provided by a salaried GP or any other salaried medical officer arrangement (AIHW 2024).

Chronic Disease Management Plans and Medication management reviews were identified according to the MBS codes in table T13.


Although some datasets spanned until the end of the 2023–24 financial year at the time of analysis, NSAF data were only available from 1 July 2015 to 30 June 2022. To ensure a consistent lookback period for identifying people with dementia across financial years, the most recent year of reporting was 2021–22.

Respite care refers to residential respite care and is determined from admission information for residential aged care services. Other types of respite care such as respite care at home, flexible respite care, community and centre-based respite care or cottage respite care are not included. Transitions of care after accessing a residential respite service were only reported among people who exited residential respite care during the first 9 months of 2021–22. This allowed a 3-month window to look at place of residency since data were only available up to 30 June 2022. Transitions are reported once per person, based on their first episode of residential respite care during this period.

Socioeconomic and remoteness area information for a person with dementia was determined by the most recent MBS record during the financial year of interest. Where the most recent MBS record did not have socioeconomic and remoteness area information, the next most recent record with this information was used. 

Age was calculated at the start of the financial year of interest, assuming a birth date on the 15th of their birth month, as birth information in the data only include month and year. 

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

For more information on the NHDH, see National Health Data Hub.


Palliative Care Outcomes Collaboration (PCOC)

The Palliative Care Outcomes Collaboration (PCOC) is a national palliative care outcomes quality improvement program. The program uses standardised validated clinical assessment tools to benchmark and measure outcomes in palliative care, including pain and symptom control, and timely access to services when they are needed to drive quality improvements. The PCOC data collection includes patient demographics, clinical setting information, and patient outcomes collected via 5 assessment tools (PCOC 2012). 

Participation in PCOC is voluntary and open to all palliative care service providers across all Australian States and Territories. Representation is sought from public and private health sectors, rural and metropolitan areas, and inpatient and community settings. However, not all services participate in PCOC and so the data only capture a subset of all palliative care delivered in Australia. A total of 228 services reported data to PCOC in 2024, and work is ongoing to expand this number. Most services that report data to PCOC are specialist palliative care services. For more information about PCOC data including its coverage, see the PCOC Data Quality Statement. 

National data on people accessing palliative care outside specialist settings are needed to complement PCOC data. For more information about palliative care data, including a strategic plan to improve national information on palliative care and end-of-life care, see Palliative care services in Australia. 

Data for all indicators are for the 2024 calendar year. For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables and PCOC’s National Outcomes reports.

Data relating to Australian research on dementia

Research studies including lived experience of dementia

Guidelines relating specifically to dementia related research were sourced from the National Health and Medical Research Council (NHMRC) dementia research webpage and current grants from GrantConnect. Annual Dementia, Ageing and Aged Care Grant Opportunity Guidelines under the Medical Research Future Fund – Dementia, Ageing and Aged Care Mission are reviewed for updated lived experience requirements and assessment criteria that promote lived experience.

Other guidelines and policies were reviewed from the NHMRC and ARC websites, including:

Guidelines and dementia grants were searched for the requirement of lived experience across all areas of research, and was considered met if that requirement was explicitly stated. For example, the Code of Ethics for Aboriginal and Torres Strait Islander Research (AIATSIS) has explicitly stated that those with lived experience should be consulted on all stages of the research process:

“It is important that research with Aboriginal and Torres Strait Islander people and communities is led by Aboriginal and Torres Strait Islander people and communities. This can mean that the chief researchers and/or members of the research team are Aboriginal or Torres Strait Islander people. It can also mean that research and its priorities are driven and guided by the Aboriginal and Torres Strait Islander communities with whom the research will take place.”

“The Guidelines should inform all steps in the research process including conception (the initial idea), design (planning the research), conduct (ways of doing the research), reporting (what happened), and dissemination of findings (circulation to relevant bodies).”

This can be compared to the Culturally and Linguistically Diverse (CALD) Dementia Research Action Plan specifications under “Guiding principles for CALD-inclusive dementia research” which present more general guidelines regarding lived experience:

“Research should include co-design and partnership approaches that involve CALD communities and other stakeholders over the life-span of the study.”

“Researchers should work to develop and support partnerships between the health sector, care providers, training organisations, ageing and ethnic peak-bodies, and CALD communities to ensure rapid translation of evidence into practice.”

It is worth noting that having consumers and community members actively involved in the research does not necessarily mean that people with lived experience of dementia were included in the research, and this is a limitation of the current approach to assessing progress against this measure.

The 2024 Dementia, Ageing and Aged Care Grant Opportunity Guidelines for both the Targeted Call for Research and Incubator grants require lived experience involvement in their assessment criterion and reward the following demonstrations of lived experience involvement with maximal scores:

Assessment Criterion 1 – Project Impact 

  • “comprehensively and convincingly considers the needs, priorities, views and values of consumers (particularly those with lived experience and their carers), the community, health providers and/or other end users”

Assessment Criterion 2 – Project Methodology

  • “clearly and comprehensively articulates extensive involvement and contributions of consumers throughout the research journey 
  • "where relevant, demonstrates comprehensive leadership and involvement of priority population(s) that the research is intended to benefit”

Assessment Criterion 3 – Capacity, capability and resources to deliver the project

  • “has comprehensively and convincingly demonstrated it has the skills, experience and capacity to involve and support consumers appropriately and effectively”

Consumers are defined as a person with lived experience as a patient, client, potential patient, user of health services, and/or provider of support as a carer, family or community member.

Data related to research publications in Australia

A search was performed for peer-reviewed published articles on PubMed. PubMed is a free resource from the United States National Library of Medicine that supports the search and retrieval of biomedical and life sciences literature. It has over 30 million citations from journals selected for MEDLINE and PubMed Central. 

A search strategy was tested and refined following feedback from experts. A compromise was made between a comprehensive review to include all Australian dementia publications of interest, and a search that did not have a high level of false positives. This approach may not have identified all relevant articles. Details of the resulting search terms can be found in the table below.

The baseline indicators value is based on the 2024 calendar year, but data from the start of the 2020 calendar year were used when discussing changes over time. The baseline and future updates reflect the year of electronic publication. Electronic publication (Epub) dates are more relevant than print publication dates as Epub dates reflect the availability of the most recent research articles. 

For more detailed data, see the Supplementary data tables.

Data related to research grants in Australia

The search results of research grants include a spectrum of grants that range from those narrowly focused on dementia research to those that are more distantly able to inform dementia research. In order not to exclude funded grants that were indirectly supporting dementia research, we considered that any mention of dementia (or the alternate search terms used below) in the published summaries was an indicator that it could contribute to the body of knowledge of dementia in Australia.

For some funding, such as from the Australian Research Council (ARC), the amount of funding announced, and the actual funding provided may be different. To compare across funding streams, the funding announced was used, noting that the actual funding provided is often higher for ARC funding.

The announcement year or grant start year (if announcement year wasn’t available) of successful grants were analysed from publicly available data from the NHMRC, ARC and Medical Research Future Fund (MRFF) grant outcome websites. 

It is worth noting that the majority of NHMRC and ARC funding is not directed to any specific disease and therefore there is no process in place within these funding bodies which might guarantee an increase in dementia funding over the coming years, so the indicator on the proportion of research dedicated to dementia is largely reflective of proposals put forward by researchers, rather than funding available strictly for dementia.

The ARC funding reported in the Action Plan does not include funding for ARC Centres of Excellence, such as the ARC Centre of Excellence in Population Ageing Research, unless their public descriptions specify one of the specified dementia search terms. This may underestimate dementia research if centres incorporate elements of dementia research in a broader research activity.

The baseline values of indicators are based on the 2024 calendar year, but data from the start of the 2014 calendar year were used when discussing changes over time.

For more detailed data, including the counts used to calculate proportions for relevant indicators, see the Supplementary data tables.

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