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Disease Outcome Indicators

Cervical Cancer Incidence

Indicator 1

WHO target: Fewer than 4 new cases per 100,000 women*

Status: Cervical cancer incidence was 6.6 per 100,000 women in 2020 (most recent single year of data available), so a 39% reduction is required to reach elimination. Rates for the period 2016-2020 were 6.4 per 100,000 women, which was three times as high as the elimination target among Aboriginal and Torres Strait Islander women, therefore a 67% reduction is needed to achieve elimination. Rates over the period 2016-2020 were at least twice as high as the elimination target for women living in outer regional or very remote areas. Incidence rates increased with increasing area-level socioeconomic disadvantage and also tended to increase with increasing remoteness.

* the target (and therefore rates in this report) are age-standardised using the WHO World 2015 female population

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6.6 per 100,000

incidence rate in women (2020)
Figure 1.1

Cervical cancer incidence (2016–2020), per 100,000 females

Socio-Economic Status (SES) Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.

  1. The remoteness areas and socioeconomic groups (Socio-Economic Indexes for Areas (SEIFA) Index of Relative Socio-economic Disadvantage (IRSD) quintiles) (2016 Australian Statistical Geography Standard (ASGS)) were derived from the Statistical Areas (SA) 2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 United Nations (UN) World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

Figure 1.1

Cervical cancer incidence (2015-2019), per 100,000 females

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.

  1. The remoteness areas and socioeconomic groups (SEIFA IRSD quintiles) (2016 ASGS) were derived from the SA2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

Rates were not available for Aboriginal and Torres Strait Islander women for 5-year periods prior to 2016-2020, so comparisons over time were not possible (see Notes on methods for details).

Figure 1.1

Cervical cancer incidence (2014–2018), per 100,000 females

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.

  1. The remoteness areas and socioeconomic groups (SEIFA IRSD quintiles) (2016 ASGS) were derived from the SA2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

Rates were not available for Aboriginal and Torres Strait Islander women for 5-year periods prior to 2016-2020, so comparisons over time were not possible (see Notes on methods for details).

Figure 1.1

Cervical cancer incidence (2013-2017), per 100,000 females

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.

  1. The remoteness areas and socioeconomic groups (SEIFA IRSD quintiles) (2016 ASGS) were derived from the SA2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

Rates were not available for Aboriginal and Torres Strait Islander women for 5-year periods prior to 2016-2020, so comparisons over time were not possible (see Notes on methods for details).

Figure 1.1

Cervical cancer incidence (2012-2016), per 100,000 females

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.

  1. The remoteness areas and socioeconomic groups (SEIFA IRSD quintiles) (2016 ASGS) were derived from the SA2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

Rates were not available for Aboriginal and Torres Strait Islander women for 5-year periods prior to 2016-2020, so comparisons over time were not possible (see Notes on methods for details).

Figure 1.1

Cervical cancer incidence (2011-2015), per 100,000 females

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.

  1. The remoteness areas and socioeconomic groups (SEIFA IRSD quintiles) (2016 ASGS) were derived from the SA2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

Rates were not available for Aboriginal and Torres Strait Islander women for 5-year periods prior to 2016-2020, so comparisons over time were not possible (see Notes on methods for details).

Figure 1.2

Cervical cancer incidence over time (5-year periods), per 100,000 females by Indigenous status

Rates were not available for Aboriginal and Torres Strait Islander women for 5-year periods prior to 2016-2020, so comparisons over time were not possible.

Target shown in grey dashed line.

Figure 1.2

Cervical cancer incidence over time (5-year periods), per 100,000 females by socioeconomic status

  1. The remoteness areas and socioeconomic groups (SEIFA IRSD quintiles) (2016 ASGS) were derived from the SA2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas

Figure 1.2

Cervical cancer incidence over time (5-year periods), per 100,000 females by remoteness area

  1. The remoteness areas and socioeconomic groups (SEIFA IRSD quintiles) (2016 ASGS) were derived from the SA2 (2016 ASGS) where available and the SA2 (2011 ASGS) otherwise.
  2. Rates were age-standardised using the 2015 World Female estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the Jurisdictions and Australia and 85+ for Remoteness area and Socioeconomic group.

Target shown in grey dashed line.

Figure 1.2

Cervical cancer incidence over time (5-year periods), per 100,000 females by state and territory

Target shown in grey dashed line.

Figure 1.3

Cervical cancer incidence over time (calendar year), per 100,000 females: selected age groups

Age-standardised to World 2015 female population

Results for ages 35+ are crude rates

Target shown in grey dashed line.

Cervical Cancer Mortality

Indicator 2

WHO target: No target set 

Status: Cervical cancer mortality was 1.3 per 100,000 women in the period 2018-2022 (most recent data). There was an inverse socioeconomic gradient, with rates more than twice as high among Aboriginal and Torres Strait Islander women (2.8 times higher in jurisdictions with data), in very remote areas (2.5 times higher) and in the NT (2.3 times higher).

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1.3 per 100,000

mortality rate (2018-2022)
Figure 2.1

Cervical cancer mortality (2018-2022), per 100,000 females

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Popultation estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.1

Cervical cancer mortality (2017-2021), per 100,000 females

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Popultation estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.1

Cervical cancer mortality (2016–2020), per 100,000 females

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Popultation estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.1

Cervical cancer mortality (2015-2019), per 100,000 females

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female popultation estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.1

Cervical cancer mortality (2014-2018), per 100,000 women

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Popultation estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.1

Cervical cancer mortality (2013-2017), per 100,000 women

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Popultation estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.2

Cervical cancer mortality over time (5-year periods), per 100,000 females by Indigenous status

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
  6. Rates were not available for Aboriginal and Torres Strait Islander women for 5-year periods prior to 2016-2020, so comparisons over time were not possible.
Figure 2.2

Cervical cancer mortality over time (5-year periods), per 100,000 females by socioeconomic status

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas

Figure 2.2

Cervical cancer mortality over time (5-year periods), per 100,000 females by remoteness area

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Population estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.2

Cervical cancer mortality over time (5-year periods), per 100,000 females by state and territory

  1. Rates for 2013–2021 refer to the year of occurrence of death. Rates for 2022 refer to the year of registration of death, which is used as a proxy for year of occurrence of death in the most recent year of death registration data.
  2. Cause of Death Unit Record File (CODURF) data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.
  3. Deaths registered in 2020 and earlier are based on the final version of the CODURF data, deaths registered in 2021 are based on the revised version and deaths registered in 2022 are based on the preliminary revised version. Revised and preliminary versions are subject to further revision by the ABS.
  4. The remoteness areas and SEIFA quintiles (2021 ASGS) were derived from the SA2 (2011 ASGS) for deaths in 2013–2015, SA2 (2016 ASGS) for deaths in 2016–2020, and SA2 (2021 ASGS) for deaths in 2021–2022. 
  5. Rates were age-standardised using the 2015 World Female Popultation estimates from the 2017 UN World Population Projections by 5-year age groups to 95+ for the states and territories and Australia and 85+ for Remoteness area and Socioeconomic group.
Figure 2.3

Cervical cancer mortality by calendar year, per 100,000 females

* age-standardised to World 2015 female population

Detection of High-Grade Cervical Disease

Indicator 3

WHO target: No target set 

Status: In 2022, the national detection rate of high-grade cervical disease among women aged 25-74 was 14.2 per 1,000 screened women, with CIN3 detected at 8.5 per 1,000 women and AIS at 0.5 per 1,000 women. High-grade detection rates increased with increasing socioeconomic disadvantage and remoteness of residence. Amongst women identified by the NCSR as Indigenous, the rate was 20.0 per 1,000 women screened in 2022. 

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14.2 per 1,000

high grade cervical disease detected (2022)
Figure 3.1

Crude rates of histologically confirmed high-grade cervical disease (2022), per 1,000 screened women aged 25-74 years

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.

Age adjusted rates for women aged 25-64 years were 18.4 for Aboriginal and Torres Strait Islander populations and 13.7 for non-Indigenous populations.

Figure 3.2

Rates of histologically confirmed high-grade cervical disease (2022) by age group (years) and type, per 1,000 screened women aged 25-74 years

Figure 3.3

Rates of histologically confirmed high-grade cervical disease over time (calendar year), per 1,000 screened women aged 25-74 years by Indigenous status

Note: there was likely under-notification of these data to the NCSR in 2018 and 2019. 

Figure 3.3

Rates of histologically confirmed high-grade cervical disease over time (calendar year), per 1,000 screened Indigenous women aged 25-74 years by age group

Note: there was likely under-notification of these data to the NCSR in 2018 and 2019. 

Case numbers were too small to publish for 65-69 and 70-74 age groups

Figure 3.3

Rates of histologically confirmed high-grade cervical disease over time (calendar year), per 1,000 screened women aged 25-74 years by type

Note: there was likely under-notification of these data to the NCSR in 2018 and 2019. 

Figure 3.3

Rates of histologically confirmed high-grade cervical disease over time (calendar year), per 1,000 screened women aged 25-74 years by socioeconomic status

Note: there was likely under-notification of these data to the NCSR in 2018 and 2019. 

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas

Figure 3.3

Rates of histologically confirmed high-grade cervical disease over time (calendar year), per 1,000 screened women aged 25-74 years by remoteness area

Note: there was likely under-notification of these data to the NCSR in 2018 and 2019. 

Figure 3.3

Rates of histologically confirmed high-grade cervical disease over time (calendar year), per 1,000 screened women aged 25-74 years by state and territory

Note: there was likely under-notification of these data to the NCSR in 2018 and 2019. 

Figure 3.3

Rates of histologically confirmed high-grade cervical disease over time (calendar year), per 1,000 screened women aged 25-74 years by age group

Note: there was likely under-notification of these data to the NCSR in 2018 and 2019. 

Prevalence of HPV Infection

Indicator 4

WHO target: No target set 

Status: Nationally, the prevalence of HPV16 or 18 in 2023 in screened women aged 25-74 years was very low at 1.4% reflecting the success of Australia’s HPV vaccination program. Other oncogenic HPV types were commonly detected among screening participants, especially in the youngest age groups.

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1.4%

prevalence of HPV16 or 18 (2023)
Figure 4.1

Oncogenic HPV positivity (2023) for women aged 24-74 years

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas.


Age-adjusted rates for Aboriginal and Torres Strait Islander women aged 25–64 were 2.3% for HPV16/18, 9.9% for other HPV types, and 11.8% for any oncogenic HPV. For non-Indigenous women, the rates were 1.2%, 6.2%, and 7.3%, respectively.

Figure 4.2a

HPV 16/18 positivity over time (calendar year) for Indigenous women aged 25-74 years, by age group (years)

Figure 4.2a

HPV 16/18 positivity over time (calendar year) for women aged 25-74 years, by socioeconomic status

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas

Figure 4.2a

HPV 16/18 positivity over time (calendar year) for women aged 25-74 years, by remoteness area

Figure 4.2a

HPV 16/18 positivity over time (calendar year) for women aged 25-74 years, by age group (years)

Figure 4.2a

HPV 16/18 positivity over time (calendar year) for women aged 25-74 years, by state and territory

Data not reported for NT in 2021-2022 due to small number of cases 

Figure 4.2b

Oncogenic HPV types (not 16/18) positivity over time (calendar year) for Indigenous women aged 25-74 years, by age group (years)

Figure 4.2b

Oncogenic HPV types (not 16/18) positivity over time (calendar year) for women aged 25-74 years, by socioeconomic status

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas

Figure 4.2b

Oncogenic HPV types (not 16/18) positivity over time (calendar year) for women aged 25-74 years, by remoteness area

Figure 4.2b

Oncogenic HPV types (not 16/18) positivity over time (calendar year) for women aged 25-74 years, by age group (years)

Figure 4.2b

Oncogenic HPV types (not 16/18) positivity over time (calendar year) for women aged 25-74 years, by state and territory

Figure 4.2c

Any oncogenic HPV positivity over time (calendar year) for Indigenous women aged 25-74 years, by age group (years)

Figure 4.2c

Any oncogenic HPV positivity over time (calendar year) for women aged 25-74 years, by socioeconomic status

SES Group 1 = most disadvantaged areas; SES Group 5 = least disadvantaged areas

Figure 4.2c

Any oncogenic HPV positivity over time (calendar year) for women aged 25-74 years, by remoteness area

Figure 4.2c

Any oncogenic HPV positivity over time (calendar year) for women aged 25-74 years, by age group (years)

Figure 4.2c

Any oncogenic HPV positivity over time (calendar year) for women aged 25-74 years, by state and territory

Figure 4.3

Positivity for nonavalent vaccine-targeted HPV types (31, 33, 45, 52, 58) over time (calendar year) for women aged 25-74 years, by age group (years)

Proportions presented are from a subset of national data for two HPV assays that provide discrimination for non-16/18 oncogenic HPV types

Figure 4.4

Positivity for oncogenic HPV types (35, 39, 51, 56, 59, 66, 68) not targeted by vaccination over time (calendar year) for women aged 25-74 years, by age group (years)

Proportions presented are from a subset of national data for two HPV assays that provide discrimination for non-16/18 oncogenic HPV types