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Developmentally vulnerable under the Australian Early Development Census (AEDC) when they enter school

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In 2024, 60.7% of Year 4 to Year 10 SA students (from all school sectors) felt connected to adults at their school (61.4% in 2019).

Data Source: Wellbeing and Engagement Collection, Australia

Data for all children and young people

Developmentally vulnerable on one or more domains
State-wise comparison

The proportion of students who are developmentally vulnerable in 1 or more Australian Early Development Census (AEDC) domains is shown in the line chart below, illustrating trends from 2009 to 2024.

Click or select a state to view its corresponding data. Clicking on a state will toggle its visibility. Double-click on a state to display only that state’s line.

  • The proportion of children aged 4-6 years who were developmentally vulnerable on 1 or more AEDC domains has remained relatively stable in South Australia over previous collection cycles.
  • Since 2012, the proportion of children who are developmentally vulnerable has remained higher in South Australia than the national average.
  • In 2024, 24.5% of South Australian children in their first year of full-time school were developmentally vulnerable on one or more AEDC domains, compared with 23.5% nationally. This rate was lower than those recorded in the Northern Territory, Australian Capital Territory, Tasmania, and Queensland for the same period.
By Statistical Area Level 3 (2024)

In the map above, regions are split by Statistical Area Level 3 (SA3) and shaded according to the proportion of children identified as developmentally vulnerable in one or more domains in 2021 under the AEDC. Darker shades indicate a higher level of vulnerability compared with the state average. Click or search a region on the plot to view more detailed information.

In 2024:

  • Outback – North and East experienced the largest increase relative to the state average, with rates of developmental vulnerability in 1 or more domains 72% higher than the state average.
  • Prospect – Walkerville showed the smallest difference, with rates 51% lower than the state average.
By Socio-Economic Indexes for Areas (SEIFA) and Remoteness (2024)

In 2024:

  • Children in South Australia from the least disadvantaged areas showed fewer developmental vulnerabilities, with 16% of those in the least disadvantaged SEIFA category identified as developmentally vulnerable in 1 or more domains, compared to 35% in the most disadvantaged areas.
  • Children living in more remote areas of South Australia tend to have higher developmental vulnerability compared to those in metropolitan Adelaide. Around 44% of children in very remote areas are developmentally vulnerable in one or more AEDC domains, which is well above the state average of 24.4%, while metropolitan areas report around 24%, close to the state average.

Data Source: Australian Early Development Census

Data for Aboriginal children and young people

Developmentally vulnerable on one or more domains

In South Australia, the proportion of Aboriginal children identified as developmentally vulnerable on one or more Australian Early Development Census (AEDC) domains has remained consistently higher than the state average (24.5% in 2024). While the percentage rose slightly from 47.1% in 2021 to 48.8% in 2024 (compared to 42.3% to 42.5% nationally), this represents no significant change over the period.

Data Source: Closing the Gap Data Dashboard, Socio-economic outcome area 4 – Aboriginal and Torres Strait Islander children thrive in their early years (Productivity Commission)

Background and Rationale

Background:

The Australian Early Development Census (AEDC) is a nationwide data collection of early childhood development at the time children commence their first year of full-time school. AEDC collects data relating to five key areas of early childhood development referred to as ‘domains’:

  • Physical health and wellbeing
  • Social competence
  • Emotional maturity
  • Language and cognitive skills (school-based)
  • Communication skills and general knowledge

The data is presented by state, statistical area level 2 (SA2), socio-economic status (SEIFA), and remoteness to allow comparisons across different geographic groups.

According to ABS, Statistical Areas Level 3 (SA3s) are geographic areas built from whole Statistical Areas Level 2 (SA2s). SA2s are medium-sized general-purpose areas built up from whole Statistical Areas Level 1 (SA1s). Their purpose is to represent a community that interacts together socially and economically. They are designed for the output of regional data, including 2021 Census of Population and Housing data. SA3s create a standard framework for the analysis of ABS data at the regional level through clustering groups of SA2s that have similar regional characteristics. Whole SA3s aggregate to form Statistical Areas Level 4 (SA4s).

Socio-Economic Indexes for Areas (SEIFA), developed by the ABS using Census data, summarise the socio-economic conditions of people living in an area. SEIFA consists of four indexes measuring different aspects of advantage and disadvantage. In this measure, the Index of Relative Socio-economic Disadvantage (IRSD) quintiles are used, which rank areas from most disadvantaged (Quintile 1) to least disadvantaged (Quintile 5).

Remoteness is classified using the ABS Australian Statistical Geography Standard (ASGS) and the Accessibility/Remoteness Index of Australia Plus (ARIA+), which measure access to services based on geographic location. Areas are grouped into five categories: Major Cities, Inner Regional, Outer Regional, Remote, and Very Remote.

Rationale:

This measure provides an early indication of children who may experience difficulties in learning, health, and wellbeing as they progress through school. Developmental vulnerability at school entry is associated with poorer outcomes in education, social participation, and long-term health. Monitoring this measure helps identify population groups and geographic areas where children may require additional support and early intervention. Tracking changes over time also helps inform policies and programs aimed at improving early childhood development and reducing inequalities in outcomes for children.

On track across the Australian Early Development Census (AEDC) domains when they enter school

THIS FORCES THE TABS TO CLOSE INITIALLY

In 2024, 60.7% of Year 4 to Year 10 SA students (from all school sectors) felt connected to adults at their school (61.4% in 2019).

Data Source: Wellbeing and Engagement Collection, Australia

Data for all children and young people

State wise comparison

The proportion of students who are developmentally on track across all five Australian Early Development Census (AEDC) domains is shown in the line chart below, illustrating trends from 2009 to 2024.

Click or select a state to view its corresponding data. Clicking on a state will toggle its visibility. Double-click on a state to display only that state’s line.

  • The proportion of children aged 4-6 years who were developmentally on track across all 5 AEDC domains has remained relatively stable over previous collection cycles.
  • Since 2012, the proportion of children who are developmentally on track has been increasing slightly and moving closer to the national average.
  • In 2024, 53% of South Australian children in their first year of full-time school were developmentally on track across all AEDC domains, compared with 52.9% nationally. This rate was lower than those recorded in the Western Australia, Victoria, and New South Wales.

By Statistical Area Level 3 (2024)

In the map above, regions are split by Statistical Area Level 3 (SA3) and shaded based on the proportion of children assessed as developmentally on track across all AEDC domains. Darker shades indicate lower proportions, while lighter shades indicate higher proportions of children on track across all domains.

In 2024:

  • Playford recorded the lowest proportion of children developmentally on track, at 23% below the state average.
  • Prospect-Walkerville recorded the highest proportion, at 36% above the state average, showing the largest positive difference compared to the state average.
By Socio-Economic Indexes for Areas (SEIFA) and Remoteness (2024)

In 2024:

  • Children living in more disadvantaged areas (based on SEIFA) were less likely to be developmentally on track across all AEDC domains. In the least disadvantaged areas (Q4-Q5), 61.1% of children were on track, compared with only 41.3% in the most disadvantaged areas (Q1). This suggests that higher disadvantage is associated with a lower proportion of children meeting developmental milestones.
  • Across remote areas, children’s developmental outcomes are broadly similar across Major Cities, Inner Regional, Outer Regional, and Remote areas, with proportions on track clustering around the state average (53%). However, outcomes are substantially lower in Very Remote areas (38.1%), indicating a marked disadvantage compared to all other remoteness categories.

Data Source: Australian Early Development Census

Data for Aboriginal children and young people

Aboriginal and Non-Aboriginal Children Developmentally on track across all AEDC domains

Nationally, in 2024, 33.9% of Aboriginal and Torres Strait Islander children commencing school were assessed as developmentally on track across all five Australian Early Development Census (AEDC) domains. This represents a decrease from 35.2% in 2018, indicating that progress towards the target has worsened over time.

In South Australia, the proportion of Aboriginal and Torres Strait Islander children assessed as developmentally on track across all five AEDC domains has shown little overall change between 2018 and 2024. However, there was a noticeable decline between 2021 and 2024, with the percentage of children developmentally on track falling from 31.3% in 2021 to 28.7% in 2024.

Note: These assessments of progress should be interpreted with caution, as they are based on trends derived from a limited number of data points.

The below section shows proportion of children who are developmentally on track across all AEDC domains further disaggregated by sex, SEIFA (IRSD), and remoteness. Select a disaggregation below to view the corresponding results.

By Sex:
As shown in the graph, a higher proportion of Aboriginal and Torres Strait Islander girls were assessed as developmentally on track when commencing school in 2024 (41%) compared to boys (26.5%). Both boys and girls showed a slight decrease in these proportions since the 2018 baseline year.

By Index of Relative Socio-economic Disadvantage (IRSD) quintile:
In 2024, the proportion of Aboriginal and Torres Strait Islander children assessed as being developmentally on track in all five AEDC domains was highest in the least disadvantaged socio-economic areas of Australia (50%). This proportion declined for children living in more disadvantaged areas, to 23.1% in the most disadvantaged socio-economic areas of Australia.

By remoteness area:
In 2024, the proportion of Aboriginal and Torres Strait Islander children assessed as being developmentally on track in all five AEDC domains was highest in major cities (31.6%). This proportion declined with remoteness, to 4.5% in very remote areas. This is a similar pattern to the 2018 baseline year.

 

Data Source: Productivity Commission. (2025). Closing the Gap data dashboard: Children thrive in their early years.

Background and Rationale

Background:

The Australian Early Development Census (AEDC) is a nationwide data collection of early childhood development at the time children commence their first year of full-time school. AEDC collects data relating to five key areas of early childhood development referred to as ‘domains’:

  • Physical health and wellbeing
  • Social competence
  • Emotional maturity
  • Language and cognitive skills (school-based)
  • Communication skills and general knowledge

The data is presented by state, statistical area level 2 (SA2), socio-economic status (SEIFA), and remoteness to allow comparisons across different geographic groups.

According to ABS, Statistical Areas Level 3 (SA3s) are geographic areas built from whole Statistical Areas Level 2 (SA2s). SA2s are medium-sized general-purpose areas built up from whole Statistical Areas Level 1 (SA1s). Their purpose is to represent a community that interacts together socially and economically. They are designed for the output of regional data, including 2021 Census of Population and Housing data. SA3s create a standard framework for the analysis of ABS data at the regional level through clustering groups of SA2s that have similar regional characteristics. Whole SA3s aggregate to form Statistical Areas Level 4 (SA4s).

Socio-Economic Indexes for Areas (SEIFA), developed by the ABS using Census data, summarise the socio-economic conditions of people living in an area. SEIFA consists of four indexes measuring different aspects of advantage and disadvantage. In this measure, the Index of Relative Socio-economic Disadvantage (IRSD) quintiles are used, which rank areas from most disadvantaged (Quintile 1) to least disadvantaged (Quintile 5).

Remoteness is classified using the ABS Australian Statistical Geography Standard (ASGS) and the Accessibility/Remoteness Index of Australia Plus (ARIA+), which measure access to services based on geographic location. Areas are grouped into five categories: Major Cities, Inner Regional, Outer Regional, Remote, and Very Remote.

Rationale:

Early childhood development is a key predictor of health, wellbeing, and educational outcomes later in life. The Australian Early Development Census (AEDC) provides important information on how children are developing across five key domains before they start school. Monitoring the proportion of Aboriginal and Torres Strait Islander children who are developmentally on track helps identify gaps in early development and highlights areas where additional support may be needed.

In line with the Closing the Gap target, the aim is to increase the proportion of Aboriginal and Torres Strait Islander children assessed as developmentally on track in all five AEDC domains to 55% by 2031, supporting improved long-term outcomes in education, health, and wellbeing.

Selected equity groups attending approved childcare services

THIS FORCES THE TABS TO CLOSE INITIALLY

In 2024, 60.7% of Year 4 to Year 10 SA students (from all school sectors) felt connected to adults at their school (61.4% in 2019).

Data Source: Wellbeing and Engagement Collection, Australia

Data for all children and young people

In 2024, the proportions of children (birth to five years) attending an approved childcare service was:
• 21.4% of all children in SA attending an approved childcare service were from low-income families (18.7% in 2018). Nationally, the proportion was 22.1% in 2024 (20.5% in 2018).
• 15.3% of all children in SA attending an approved childcare service were from regional areas (18.2% in 2018). Nationally, the proportion was 22.5% in 2024 (23.0% in 2018).
• 2.3% of all children in SA attending an approved childcare service were from remote areas (2.4% in 2018). Nationally, the proportion was 1.0% in 2024 (1.0% in 2018).

In 2021, the proportions of children (birth to five years) attending an approved childcare service in SA were:
• 6.7% of all children in SA attending an approved childcare service were children with disability (3.2% in 2016). Nationally, the proportion was 5.4% (3.4% in 2016).
• 15.7% of all children in SA attending an approved childcare service were children from families with a non-English speaking background (15.5% in 2016). Nationally, the proportion was 21.7% (22.3% in 2016).

Note: Children attending approved childcare services may be counted more than once if they attended more than one childcare service in the relevant period.

Data Source: Report on Government Services (ROGS)

 

 

Data for Aboriginal children and young people

Background and Rationale

Enrolled in a quality preschool program (3‑year-old and 4‑year-old)

THIS FORCES THE TABS TO CLOSE INITIALLY

In 2024, 60.7% of Year 4 to Year 10 SA students (from all school sectors) felt connected to adults at their school (61.4% in 2019).

Data Source: Wellbeing and Engagement Collection, Australia

Data for all children and young people

In 2023, 85.3% of SA four-year-old children were enrolled in a preschool program (89.3% in 2018).
Nationally, the proportion was 87.7% in 2023 (84.2% in 2018).

Data Source: ABS, Preschool Education

Data for Aboriginal children and young people

Background and Rationale

Enrolled in a quality preschool program in the year before attending full-time school

THIS FORCES THE TABS TO CLOSE INITIALLY

In 2024, 60.7% of Year 4 to Year 10 SA students (from all school sectors) felt connected to adults at their school (61.4% in 2019).

Data Source: Wellbeing and Engagement Collection, Australia

Data for all children and young people

Data coming soon

Data for Aboriginal children and young people

Background and Rationale

Early Childhood Early Intervention Supports through the NDIS

THIS FORCES THE TABS TO CLOSE INITIALLY

In 2024, 60.7% of Year 4 to Year 10 SA students (from all school sectors) felt connected to adults at their school (61.4% in 2019).

Data Source: Wellbeing and Engagement Collection, Australia

Data for all children and young people

The National Disability Insurance Scheme (NDIS) provides funding to eligible Australians, including children and young people, with permanent and significant disability for the supports and services they need.
In quarter 4 of 2021-22 in SA:
• 6,472 children (birth to six years inclusive) had an approved NDIS plan (5,651 in quarter 4, 2020-21).
• 899 children (birth to six years inclusive) received early childhood early intervention supports (680 in quarter 4, 2020-21).

Data Source: NDIS Tailored Data Request

Data for Aboriginal children and young people

Background and Rationale