Cancer data in Australia

Web report

Last updated: 02 Jun 2020

Author: AIHW

AIHW

Australian Institute of Health and Welfare 2020. Cancer data in Australia. Cat. no. CAN 122. Canberra: AIHW. Viewed 11 July 2020, https://www.aihw.gov.au/reports/cancer/cancer-data-in-australia

APA

Australian Institute of Health and Welfare. (2020). Cancer data in Australia. Retrieved from https://www.aihw.gov.au/reports/cancer/cancer-data-in-australia

MLA

Cancer data in Australia. Australian Institute of Health and Welfare, 02 June 2020, https://www.aihw.gov.au/reports/cancer/cancer-data-in-australia

Vancouver

Australian Institute of Health and Welfare. Cancer data in Australia [Internet]. Canberra: Australian Institute of Health and Welfare, 2020 [cited 2020 Jul. 11]. Available from: https://www.aihw.gov.au/reports/cancer/cancer-data-in-australia

Harvard

Australian Institute of Health and Welfare (AIHW) 2020, Cancer data in Australia, viewed 11 July 2020, https://www.aihw.gov.au/reports/cancer/cancer-data-in-australia

In 2020, it is estimated there will be just under 150,000 new cases of cancer diagnosed and just under 50,000 deaths from cancer. This report presents cancer incidence, mortality, survival, risk and prevalence statistics using data from 1982 to 2016 (2018 for mortality) and projections up to 2020 for cancer incidence and mortality.

Cat. no: CAN 122

Findings from this report:

145,000 new cancer cases are estimated to be diagnosed in 2020
5-year relative survival was 69% for all cancers combined in 2012–2016
48,000 deaths from cancer are estimated for 2020
In 2020, breast cancer is estimated to be the most commonly diagnosed cancer, followed by prostate cancer

Cancer survival data visualisation

References Expand

ABS (Australian Bureau of Statistics) 2018. Population projections, Australia, 2017 (base) – 2066. ABS cat. no. 3222.0. Canberra: ABS.

AIHW (Australian Institute of Health and Welfare) 2019. BreastScreen Australia monitoring report 2018. Cancer series no.127. Cat no. CAN128. Canberra: AIHW

Al-Marhoon M, Osman A, Kamal M and Shokier A 2011. Incidental vs symptomatic renal tumours: Survival outcomes. Arab Journal of Urology 9(1): 17–21.

Brenner H and Gefeller O 1996. An alternative approach to monitoring cancer patient survival. Cancer78:2004–10.

Dickman PW 2004. Estimating and modelling relative survival using SAS. Stockholm: Karolinska Institutet. Viewed 26 May 2020.

Ederer F & Heise H 1959. Instructions to IBM 650 programmers in processing survival computations. Methodological note.

Greenwood M 1926. The errors of sampling of the survivorship table. Reports on public health and medical subjects. Vol 33. London: Her Majesty’s Stationery Office.

Jensen O, Parkin D, MacLennan R, Muir C & Skeet R (eds) 1991. Cancer registration: principles and methods. IARC scientific publications no. 95. Lyon: IARC.

Luke C, Tracey E, Stapleton A and Roder D 2010. Exploring contrary trends in bladder cancer incidence, mortality and survival: implications for cancer research and cancer control. Internal Medicine Journal 40:357–62 .

Qaseem A, Usman N, Jayaraj J S, et al. (September 02, 2019) Cancer of Unknown Primary: A Review on Clinical Guidelines in the Development and Targeted Management of Patients with the Unknown Primary Site. Cureus 11(9): e5552. doi:10.7759/cureus.5552

Skuladottir H & Olsen JH 2003. Conditional survival of patients with the four major histologic subgroups of lung cancer in Denmark. Journal of Clinical Oncology 21(16):3035–40.

Smith D Supramaniam R, Marshall V and Armstrong B 2008. Prostate cancer and prostate specific antigen testing in New South Wales. Medical Journal of Australia 189(6): 315–18.

Vaccarella S, Franceschi S, Bray F, Wild C, Plummer M and Dal Maso L 2016. The increase in thyroid cancer may be due to an increase in medical surveillance and the introduction of new diagnostic techniques, such as neck ultrasonography. The New England Journal of Medicine 375: 614–17.

Find reports & data by topic

Featured

Cancer data in Australia

Citation

AIHW

APA

MLA

Vancouver

Harvard

Cancer survival data visualisation

AIHW

Feedback