Is Australia Running Out of Babies? The Birth Rate Decline in Five
Charts
Shreyas Guduri · RMIT University · June 10,
2026
Australia has not produced enough babies to replace its population since
1976. In 2024, the total fertility rate fell to
1.48 births per woman — the lowest in 90 years of
records, and nearly 30 per cent below the replacement level of 2.1.
The story dominating headlines is of a nation that has quietly stopped
having children. But dig into the data and a more surprising picture
emerges. The collapse in the headline rate is partly a counting problem,
driven by how Australia measures fertility in a high-migration country.
These five charts unpack who stopped having babies, where, and what it
means for the future.
1.48 Total
fertility rate in 2024
Australia’s lowest ever recorded, marking the
first time it fell below 1.50.
Chart 1
From baby boom to baby bust: 60 years of decline
Total fertility rate, Australia, 1921–2024. Use the time-range buttons
to zoom in.
Source: Australian Bureau of Statistics, Births, Australia
(Cat. 3301.0), 2024.
Dotted red line = replacement rate (2.1).
Shaded region = years below replacement.
Australia has not reached replacement level since 1976
— nearly 50 years. The Baby Boom peaked at 3.55 in 1961. Since then, a
combination of delayed childbearing, rising costs, and changing social
norms has steadily eroded the rate. The 2024 figure of 1.48 is the
lowest in 90 years of records.
Chart 2
The fertility ‘hump’ has shifted — women are waiting longer, or not at
all
Age-specific fertility rate (births per 1,000 women) by age group. Use
the dropdown to isolate any year.
Source: Australian Bureau of Statistics, Births, Australia
(Cat. 3301.0), 2024.
Age-specific fertility rate = registered births
per 1,000 women in each age group.
In 1994, the peak childbearing age was 25–29 (122.5
births per 1,000 women). By 2024 it had shifted to
30–34 (105.2). The rate for teenagers has collapsed
from 20.9 to just 6.2 — a fall of 70 per cent in 30 years. Women in
their 40s are the only group whose rate has risen. This reflects both
deliberate delay and permanent childlessness, particularly among highly
educated urban women.
Chart 3
Two Australias: 1.27 in the ACT, 2.17 for First Nations women
The national average conceals enormous geographic and demographic
variation. Toggle between views.
Source: Australian Bureau of Statistics, Births, Australia
(Cat. 3301.0), 2024.
States ordered by 2024 TFR (highest to lowest).
The national average conceals a 35 per cent gap between the highest and
lowest jurisdiction. The Northern Territory (1.62) is
the only state near the recent national average; the
ACT (1.27) sits below rates seen in many European
countries. Crucially, First Nations women remain above
replacement at 2.17, and have held their rate far more steadily than
non-Indigenous women.
Chart 4
The fertility ‘crisis’ is partly a counting problem
TFR by mother’s birthplace shows the headline collapse is amplified by
how migration inflates the denominator. Use the zoom slider to inspect
any period.
Source: ABS, Births, Australia (Cat. 3301.0), 2024; e61
Institute, The Fertility Illusion, March 2026.
The zoom
slider allows detailed inspection of any sub-period.
This is the most important chart in the series. The headline
TFR (grey dashed) looks catastrophic at 1.48. But
Australian-born women (blue) have only fallen from
around 1.80 to 1.62 since 2007. The collapse in the overall rate is
driven by overseas-born women’s measured fertility
(amber), which has plummeted since 2019.
Why? Australia calculates TFR using all women aged 15 to 49 resident in
Australia for 12 of the last 16 months as the denominator, including
hundreds of thousands of international students. This population surged
post-COVID, but students have near-zero birth rates while studying. The
denominator grew while births did not keep pace. The fertility crisis is
real, but it is significantly amplified by a statistical artefact unique
to high-migration countries.
Chart 5
Who will pay your pension? Australia’s shrinking workforce per retiree
Projected old-age dependency ratio to 2071 under three ABS scenarios.
Use the buttons to compare.
Source: ABS, Population Projections, Australia, 2022–2071 (Cat.
3222.0).
Old-age dependency ratio = population 65+ ÷ population
15–64 × 100.
Series A = high fertility/migration; B = central; C =
low.
Today there are approximately 27.5 retirees per 100 working-age
Australians. Under the central projection this rises to
44 by 2071. Under the low-fertility scenario, it
approaches 52, meaning roughly one retiree for every two workers. This
is not an abstract demographic statistic. It translates directly into
higher taxes, delayed retirement ages, or reduced public services for
every working Australian alive today.
The choice Australia faces is stark. Higher fertility, through better
support for families, would ease the burden organically. Sustained
migration can substitute, but as Chart 4 shows, it currently distorts
how we measure the fertility problem itself. Addressing both requires
first being honest about what the data does and does not show.
References
Anthropic. (2026). Claude (June 2026 version) [Large language
model]. https://claude.ai
Australian Bureau of Statistics. (2024). Births, Australia
(Cat. No. 3301.0). ABS.
https://www.abs.gov.au/statistics/people/population/births-australia/latest-release
Australian Bureau of Statistics. (2023). Population projections,
Australia, 2022–2071 (Cat. No. 3222.0). ABS.
https://www.abs.gov.au/statistics/people/population/population-projections-australia/latest-release
Australian Bureau of Statistics. (2026). Births, Australia:
Age-specific fertility rates by age group, states and territories, and
Indigenous status [Data set]. ABS.
https://www.abs.gov.au/statistics/people/population/births-australia/latest-release
Australian Institute of Family Studies. (2024). Births in
Australia [Statistical report]. AIFS.
https://aifs.gov.au/research/facts-and-figures/births-australia-2024
Boothroyd, C. (2024). Australia’s fertility rate and the future.
Australian and New Zealand Journal of Obstetrics and
Gynaecology, 64(4), 329–334.
https://doi.org/10.1111/ajo.13847
Centre for Population. (2026). 2025 population statement.
Australian Government.
https://population.gov.au/publications/statements/2025-population-statement
Cowgill, M., Meers, Z., Lee, J., & Diviny, D. (2024). readabs:
Download and tidy time series data from the Australian Bureau of
Statistics (R package version 0.4.30) [Computer software].
https://github.com/MattCowgill/readabs
e61 Institute. (2026, March 20). The fertility illusion: Why
Australia’s record-low fertility rate hides a surprising truth.
https://e61.in/the-fertility-illusion-why-australias-record-low-fertility-rate-hides-a-surprising-truth/
Sievert, C. (2020). Interactive web-based data visualization with R,
plotly, and shiny. Chapman and Hall/CRC.
https://plotly-r.com
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D.
(2023). dplyr: A grammar of data manipulation (R package
version 1.1.4) [Computer software].
https://dplyr.tidyverse.org
Acknowledgements
Anthropic. (2026). Claude (June 2026 version) [Large language
model]. https://claude.ai
Claude (Anthropic) was used to assist with narrative planning,
identification of ABS data sources, and review of R code structure. All
data visualisations, written interpretation, and analytical decisions
are the author’s own. AI use is acknowledged in accordance with RMIT
Library guidelines.