Spring Mountain
A median age of 29, fully 11 years below the national figure, marks Spring Mountain as one of Queensland's youngest growth fronts, and the housing stock explains why. Detached houses make up 98.6% of dwellings and 89.0% carry four or more bedrooms, which has drawn family households averaging 3.3 people, above the national average. Despite a $559,000 median house price that reads as affordable, household income still sits in the 90.6th percentile nationally at $2,399 a week, so families here earn well yet pay comparatively little for space. Nearly half the population, 47.1%, was born overseas, 25.5 points above national, and 46.4% hold university qualifications, 16.3 points above the national rate.
Population
6,085
Median Age
29.0
Household IncomeiMedian weekly household income (ABS Census)
$2,399/wk
DAs (12 months)iDevelopment Applications lodged in the past year
0
Median House
$559K
Estimated from rent (2025)
The $559,000 median house price is the central draw, low for a household income in the 90.6th percentile, which is why monthly mortgage repayments of $2,000 produce a mortgage-to-income ratio of just 19.3%, well below the 30% stress threshold. Buyers get space rather than scarcity: 98.6% of dwellings are separate houses and 89.0% have four or more bedrooms, with only 10.7% at three bedrooms and a negligible 0.3% at two. That stock suits the family profile, where couples with children total 3,700 of 5,564 families. The trade-off is that almost nobody owns outright, just 2.8%, while 57.2% carry a mortgage, a sign of a recently built estate full of first and second home buyers rather than long-settled owners.
For Buyers
The $559,000 median house price is the central draw, low for a household income in the 90.6th percentile, which is why monthly mortgage repayments of $2,000 produce a mortgage-to-income ratio of just 19.3%, well below the 30% stress threshold. Buyers get space rather than scarcity: 98.6% of dwellings are separate houses and 89.0% have four or more bedrooms, with only 10.7% at three bedrooms and a negligible 0.3% at two. That stock suits the family profile, where couples with children total 3,700 of 5,564 families. The trade-off is that almost nobody owns outright, just 2.8%, while 57.2% carry a mortgage, a sign of a recently built estate full of first and second home buyers rather than long-settled owners.
For Investors
Renters make up 40.0% of households, above the typical owner-occupier estate, and weekly rent of $445 against the $559,000 median implies a gross yield near 4.1%, stronger than most established metro suburbs. The vacancy rate of 4.0% is a little loose, reflecting steady new supply rather than tight demand, so tenant turnover is a factor: residential mobility runs at 43.0%, meaning nearly half the population moved in the past five years. Rent-to-income sits at a comfortable 18.5%, leaving tenants room to absorb increases. With 47.1% of residents born overseas, 25.5 points above national, and a young median age of 29, the renter pipeline is fed by new arrivals and household formation rather than relying on capital growth alone.
Schools in Spring Mountain iICSEA: school advantage index. 1000 = national avg, higher = more advantaged
Spring Mountain State School
Prep-6 · 939 students
Demographics
The median age of 29 runs 11.0 years below the national figure, the clearest signal that Spring Mountain is a family-formation suburb rather than an aging one. Overseas-born residents reach 47.1%, which is 25.5 points above national, and the cultural mix is led by Indian (1,033) and Filipino (288) ancestries alongside English (1,477). That diversity shows in language: Punjabi (248), Malayalam (161) and Hindi (109) are the most common non-English tongues, and Hinduism (874 residents) sits second behind Christianity (2,121). University qualifications at 46.4% are 16.3 points above national, and the average household size of 3.3 is 0.8 above national, consistent with the couples-with-children base of 3,700 families.
Age Distribution
Bedrooms
Dwelling Structure
98.6%
Houses
1.4%
Townhouse
N/A
Apartment
Tenure
Tenure is dominated by mortgages: 57.2% of households carry one while just 2.8% own outright and 40.0% rent. Outright owners being almost absent confirms a young, recently developed estate rather than a settled market with built-up equity. The stock is overwhelmingly large detached housing, 98.6% separate houses with only 1.4% semi-detached, and 89.0% have four or more bedrooms against 10.7% at three. The $559,000 median house price stays affordable relative to the 90.6th-percentile household income, which is why both mortgage-to-income (19.3%) and rent-to-income (18.5%) sit well below the 30% stress line. That affordability, paired with a 4.0% vacancy rate, points to a supply-led market still absorbing new dwellings rather than one constrained by scarcity.
Mortgage / mo
$2,000
Rent / wk
$445
HH Size
3.3
Personal Income / wk
$1,085
Vacancy Ratei% of dwellings unoccupied on Census night (ABS 2021)
4.0%
Unoccupied
75
Rent / IncomeiMedian rent as % of household income. Over 30% = housing stress
18.5%
Mortgage / IncomeiMedian mortgage as % of household income. Over 30% = housing stress
19.3%
Community Profile
Languages Spoken at Home
Ancestry
Household Composition
14.9%
Couples, no children
5,564
Total families
Economy & Employment
Healthcare anchors the local workforce at 24.1% (564 workers), more than double the next industries, Public Administration and Professional/Tech, each at 9.9%, with Education at 8.2% and Transport at 7.1%. By occupation, Professionals lead at 849, ahead of Clerical and Administrative roles at 437 and Managers at 344, a white-collar tilt consistent with the 46.4% university qualification rate, 16.3 points above national. The labour market is active: participation runs at 74.4% and the full-time employment rate is 72.0%, though unemployment at 5.7% sits a touch above the typical metro figure, partly because a young, growing population includes many recent entrants. SEIFA advantage scores are not available for this suburb in the dataset.
Socio-Economic Indexes (SEIFA)iABS index ranking suburbs from 1 (most disadvantaged) to 10 (most advantaged)
Full-time
72.0%
Part-time
22.3%
Participation
74.4%
Employed
2,942
Occupations
Top Industries
University
46.4%
Postgraduate
14.9%
Born Overseas
47.1%
Dwellings
1,795
Transport to Work
Car dependence is high for a low-density estate at 309 residents per km2 across 19.7 km2: 87.3% drive to work while only 6.4% use public transport and 1.0% walk or cycle. Affordability supports comfortable living, with rent-to-income at 18.5% and mortgage-to-income at 19.3%, both well below the 30% stress threshold despite incomes in the 90.6th percentile. Only 2.8% of residents (165 people) need daily assistance, low and consistent with the young median age of 29. Volunteering runs at 10.8%. No schools are recorded inside the boundary in this dataset, so families rely on institutions in neighbouring suburbs, and crime statistics are not available for Spring Mountain here.
Drive
87.3%
Public Transport
6.4%
Walk / Cycle
1.0%
Work from Home
N/A
National Ranking iPercentile rank among ~15,000 AU suburbs. 90% = higher than 90% of suburbs
How Spring Mountain compares to ~15,000 Australian suburbs
Frequently Asked Questions
Is Spring Mountain a good suburb to live in?
Spring Mountain suits young families: the median age is 29, 11 years below national, household income sits in the 90.6th percentile, and the $559,000 median house price keeps mortgage-to-income at just 19.3%. The trade-off is heavy car reliance, with 87.3% driving to work and only 6.4% using public transport.
What is the median house price in Spring Mountain?
The median house price is $559,000, affordable against household incomes in the 90.6th percentile. Monthly mortgage repayments average $2,000, giving a mortgage-to-income ratio of 19.3%, while weekly rent of $445 implies a gross rental yield near 4.1%.
What schools are in Spring Mountain?
No schools are recorded inside the Spring Mountain boundary in this dataset, so families rely on schools in neighbouring suburbs. The resident base is highly educated, with university qualifications at 46.4%, which is 16.3 points above the national figure.
Is Spring Mountain safe?
Detailed crime statistics are not available for Spring Mountain in this dataset. As an indirect indicator, only 2.8% of residents (165 people) need daily assistance, and the suburb has a young family profile with a median age of 29, both consistent with a stable residential area.
Is Spring Mountain good for property investment?
Renters make up 40.0% of households and weekly rent of $445 against the $559,000 median gives a gross yield near 4.1%, strong for a metro market. The 4.0% vacancy rate is slightly loose due to new supply, but 47.1% overseas-born residents and a median age of 29 support tenant demand.
How is Spring Mountain's population changing?
Spring Mountain is a fast-changing growth front: residential turnover is 43.0%, so nearly half the 6,085 residents moved within five years, and only 57.0% stayed. The median age of 29 is 11 years below national, and 47.1% were born overseas, driving growth through migration and family formation.
What languages are spoken in Spring Mountain?
About 47.1% of residents were born overseas, 25.5 points above national. English dominates, but Punjabi (248 speakers), Malayalam (161) and Hindi (109) are the most common non-English languages, reflecting strong Indian and South Asian communities alongside a Filipino ancestry group of 288.
How to read these comparisons
Phrases like "above the national average" reference the unweighted median across Australian suburbs with more than 1,000 residents, not population-weighted national figures. Suburb-level medians are more useful for ranking suburbs against each other; ABS census headlines are population-weighted (so dominated by Sydney and Melbourne) and can read very differently.
Current baseline (refreshed 2026-05-10): median age 40, university-educated 30.1%, born overseas 21.6%, average household size 2.5 people.
Data sources: ABS 2021 Census (demographics, income, tenure), state Valuer-General (house prices), Department of Jobs SALM (unemployment), ACARA (school ICSEA), state Crime Statistics agencies (offences), council DA portals (development applications). Population forecasts use a Hamilton-Perry cohort model calibrated to ABS ERP.
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