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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 6.3 per 100,000 women in 2021 (most recent single year of data available), so a 37% reduction is required to reach elimination. Rates for the period 2017-2021 were 6.4 per 100,000 women, and 11.7 per 100,000 among Aboriginal and Torres Strait Islander women, which was nearly three times as high as the elimination target, therefore, a 66% reduction is needed to achieve elimination. Rates over the period 2017-2021 were at least twice as high as the elimination target for women living in outer regional or remote areas.

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

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6.3 per 100,000

incidence rate in women (2021)
Figure 1.1

Cervical cancer incidence (2017–2021), per 100,000 females

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

  1. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at diagnosis. The 2011 ASGS was used for diagnosis years 2011–2015, the 2016 ASGS was used for diagnosis years 2016–2020, and the 2021 ASGS was used for diagnosis year 2021.
  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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.

Target shown in grey dashed line.

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. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at diagnosis. The 2011 ASGS was used for diagnosis years 2011–2015, the 2016 ASGS was used for diagnosis years 2016–2020, and the 2021 ASGS was used for diagnosis year 2021.
  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, 75+ for Indigenous status, 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. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at diagnosis. The 2011 ASGS was used for diagnosis years 2011–2015, the 2016 ASGS was used for diagnosis years 2016–2020, and the 2021 ASGS was used for diagnosis year 2021.
  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, 75+ for Indigenous status, 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. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at diagnosis. The 2011 ASGS was used for diagnosis years 2011–2015, the 2016 ASGS was used for diagnosis years 2016–2020, and the 2021 ASGS was used for diagnosis year 2021.
  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, 75+ for Indigenous status, 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. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at diagnosis. The 2011 ASGS was used for diagnosis years 2011–2015, the 2016 ASGS was used for diagnosis years 2016–2020, and the 2021 ASGS was used for diagnosis year 2021.
  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, 75+ for Indigenous status, 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. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at diagnosis. The 2011 ASGS was used for diagnosis years 2011–2015, the 2016 ASGS was used for diagnosis years 2016–2020, and the 2021 ASGS was used for diagnosis year 2021.
  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, 75+ for Indigenous status, 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. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at diagnosis. The 2011 ASGS was used for diagnosis years 2011–2015, the 2016 ASGS was used for diagnosis years 2016–2020, and the 2021 ASGS was used for diagnosis year 2021.
  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, 75+ for Indigenous status, 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 1.4 per 100,000 women in the period 2019-2023 (most recent data). Mortality increased with increasing level of socioeconomic disadvantage and was three times higher among Aboriginal and Torres Strait Islander women (4.3 per 100,000).

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1.4 per 100,000

mortality rate (2019-2023)
Figure 2.1

Cervical cancer mortality (2019-2023), per 100,000 females

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.1

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.1

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.1

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.1

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.1

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.1

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.2

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.2

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.

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. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
Figure 2.2

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

  1. Data by Indigenous status are only reported from 2016 onwards due to the absence of a standard method for producing historical trends using earlier Indigenous population estimates.            
  2. Age-standardised rates based on counts of fewer than 20 deaths are not published due to lack of statistical reliability.
  3. Data by Indigenous status are reported for NSW, Qld, WA, SA, and NT combined. The Indigenous status variable is not of sufficient quality for analysis for records from Vic, Tas or ACT. The ‘Overall’ total in the ‘Indigenous status’ section includes those whose Indigenous status was unknown. The populations used for the calculations were based on the 2021 Census estimates for 2016–2021 and projections for 2022–2023.
  4. The socioeconomic groups correspond to the area-based quintiles of the Australian Bureau of Statistics' Index of Relative Socioeconomic Disadvantage.
  5. Remoteness area and socioeconomic group were derived from the SA2 of usual residence at death. The 2011 ASGS was used for death registration years 2013–2015, the 2016 ASGS was used for death registration years 2016–2017, and the 2021 ASGS was used for death registration years 2018–2023.
  6. 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, 75+ for Indigenous status, and 85+ for remoteness area and socioeconomic group.
  7. Deaths were allocated to the years 2013–2022 based on the year of occurrence of death. Deaths were allocated to the year 2023 based on 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.
  8. 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
  9. The allocated cause of death is based on the 'final' version of the ABS CODURF for deaths registered in 2021 and earlier, the 'revised' version for deaths registered in 2022, and the 'preliminary revised' version for deaths registered in 2023. Preliminary revised and revised versions are subject to further revision by the ABS.
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 2024, the national detection rate of high-grade cervical disease among women aged 25-74 was 7.2 per 1,000 screened women, with CIN3 detected at 4.3 per 1,000 women and AIS at 0.2 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 13.4 per 1,000 women screened in 2024. 

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7.2 per 1,000

high grade cervical disease detected (2024)

7.8 per 1,000

high grade cervical disease detected (2023)
Figure 3.1

Crude rates of histologically confirmed high-grade cervical disease (2024), 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 12.1 for Aboriginal and Torres Strait Islander populations and 7.2 for non-Indigenous populations.

Figure 3.2

Rates of histologically confirmed high-grade cervical disease (2024) 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 and/or 18 in 2024 in screened women aged 25-74 years was very low at 1.4% reflecting the success of Australia’s HPV vaccination program. The other 12 oncogenic HPV types were commonly detected among screening participants, especially in the youngest age group.

Find out more:

1.4%

prevalence of HPV16 or 18 (2024)
Figure 4.1

Oncogenic HPV positivity (2024) 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