Maleny vs Wootha
Wootha is the younger of the two, with a median age of 52 against 59 in Maleny. In both, the large majority of households own their home and the large majority of homes are detached houses. In Maleny, about half of households are people living alone. In Wootha, most households are couple families. Houses cost more in Wootha: a median of $2.7 million, against $1.2 million in Maleny, though rent is higher in Maleny. On these figures, Maleny tends to suit people living alone, older residents, and buyers on a tighter budget, while Wootha suits couples.
Which one suits you?
There is no overall winner — the suburb that suits a family with school-age kids is routinely the wrong one for someone commuting into the city. So each of these answers its own question, against a checklist you can see, using the same figures in the tables below.
Families with school-age kids
Maleny
ahead on 3 of the 6 things we measure here
- has more childcare (4 vs 0)
- has more schools inside the suburb (3 vs 0)
- has more parks and reserves (19 vs 6)
- But Wootha is already more of a family suburb (67% vs 46%)
Weighs schools, house stock, crime, parks, childcare, and who already lives there.
First-home buyers
Maleny
ahead on the one thing that separates them
- has cheaper houses ($1,200,000 vs $2,700,000)
Weighs house prices and mortgage stress.
Renters
Wootha
ahead on 2 of the 3 things we measure here
- leaves renters under less rental stress (17% vs 34%)
- has cheaper rent ($300/wk vs $390/wk)
Weighs rent, rental stress, and how much is for rent.
Commuting to the city
Maleny
ahead on 2 of the 3 things we measure here
- is more walkable (76/100 vs 0/100)
- sits closer to the CBD (92.6 km vs 97 km)
Weighs distance, drive time, and walkability.
Downsizers and retirees
Maleny
ahead on 3 of the 4 things we measure here
- is more walkable (76/100 vs 0/100)
- has more GPs (4 vs 0)
- has more residents already 65 and over (40% vs 29%)
Weighs who already lives there, GPs, walkability, and crime.
Investors
Wootha
ahead on the one thing that separates them
- is growing faster (28.4% vs 6.0%)
Weighs population growth.
Where they sit
Maleny and Wootha drawn to the same scale. Both outlines are shown together, so the map answers whether they share a border and how their areas compare.
Bars start at zero. Scores, risks and rankings are drawn against their full 0–100 range; other rows are drawn in proportion to the larger of the two.
Side by side, out of 100
Risks are inverted — shown as safety and low exposure — so a longer bar always means better.
Demographics
Maleny has more residents (3,959 vs 258); Wootha has higher household incomes ($91,832 vs $59,488).
| Maleny | Wootha | |
|---|---|---|
| Population | 3,959 +93% vs other | 258 |
| Population trend (2016 → 2021) | +6.0% | +28.4% |
| Median age | 59 | 52 |
| Median household income | $59,488/yr | $91,832/yr +54% vs other |
| Median weekly rent | $390/wk +23% vs other | $300/wk |
Age profile
Share of residents in each band, 2021 Census.
Bars are drawn against the largest share shown (21.1%).
Who lives together
Household composition, 2021 Census.
Who owns and who rents
Occupied private dwellings by tenure, 2021 Census.
Qualifications
Highest non-school qualification, residents 15+, 2021 Census.
Bars are drawn against the largest share shown (15.0%).
Where residents were born
Largest overseas birthplaces, as a share of all residents, 2021 Census. A dash means that country is not among the suburb's own eight largest.
Bars are drawn against the largest share shown (7.5%).
What people live in
Occupied private dwellings by structure, 2021 Census.
Property market
| Maleny | Wootha | |
|---|---|---|
| Median house price | $1,200,000 | $2,700,000 |
| Median unit price | $633,750 | — |
| Median land price | $837,500 | — |
| Typical days to sell (houses) | 45 days from 49 sales | — |
Development activity
| Maleny | Wootha | |
|---|---|---|
| New dwellings approved | 2,962 across Sunshine Coast same for both | |
| Approvals change year on year | -41% same for both | |
Gross rental yield
| Maleny | Wootha | |
|---|---|---|
| Houses | 3.2% $850/wk on $1.4M | — |
| Units | — same for both | |
Ranking within QLD
| Maleny | Wootha | |
|---|---|---|
| House price | — same for both | |
| Income | Higher than 24% of QLD | Higher than 65% of QLD |
| Schools | Higher than 69% of QLD | — |
| Walkability | Higher than 94% of QLD | Higher than 64% of QLD |
| Affordability | — same for both | |
| EV adoption | Higher than 90% of QLD | Higher than 91% of QLD |
| NBN connectivity | Higher than 78% of QLD | Higher than 67% of QLD |
| Rental yield (houses) | Higher than 14% of QLD | — |
Liveability
Maleny is more walkable (76 vs 0).
| Maleny | Wootha | |
|---|---|---|
| Grade | A | — |
| Score | 73/100 | — |
| Socio-economic band | mid-range socio-economic decile 6/10 | advantaged area decile 7/10 |
Risk profile
| Maleny | Wootha | |
|---|---|---|
| Bushfire | None 0/100 same for both | |
| Crime | Low 31/100 | Low 36/100 |
| Flood | Not mapped no mapped data here same for both | |
| Coastal erosion | None 0/100 same for both | |
| Aircraft noise | None 0/100 same for both | |
| Industrial facilities nearby | 0 within 5 km same for both | |
Schools
| Maleny | Wootha | |
|---|---|---|
| Inside the suburb | 3 | 0 |
| Rated above peers | 1 | 0 |
| Rated at peers | 2 | 0 |
| Rated below peers | 0 same for both | |
Schools in Maleny
- Maleny State School Government · Primary above peers
- Maleny State High School Government · Secondary at peers
- The River School Independent · Primary at peers
Schools in Wootha
No schools recorded inside this suburb's boundary. Children here will be zoned to schools nearby.
Amenities in the suburb
| Maleny | Wootha | |
|---|---|---|
| Supermarkets | 2 | 0 |
| Cafes & restaurants | 12 | 1 |
| Parks & reserves | 19 | 6 |
| Childcare | 4 | 0 |
| GPs | 4 | 0 |
| Pharmacies | 2 | 0 |
| Hospitals | 2 | 0 |
| Police stations | 1 | 0 |
| Banks & Bank@Post | 3 | 0 |
| Fuel stations | 2 | 0 |
| Waterways | 8 | 11 |
Mobility
Wootha sits further from the CBD (97 km vs 92.6 km).
| Maleny | Wootha | |
|---|---|---|
| Walkability score | 76/100 | 0/100 |
| Distance to Brisbane | 92.6 km | 97 km +5% vs other |
| Drive time (normal traffic) | 87 min | 91 min |
| Electric vehicle share | 1.6% postcode 4552 same for both | |
| Rooftop solar per 100 dwellings | 89 postcode 4552 same for both | |
How people get to work
Method of travel on census day 2021 — which fell during COVID restrictions, so working from home is inflated and every travel mode understated.
Bars are drawn against the largest share shown (61.0%).
Setting
| Maleny | Wootha | |
|---|---|---|
| Elevation | 409 m above sea level, at the suburb centre | 494 m above sea level, at the suburb centre |
| Distance to the ocean | 25.8 km | 29.6 km |
NBN connectivity
| Maleny | Wootha | |
|---|---|---|
| Connectivity score | 69/100 | 34/100 |
| Most common technology | Fibre to the premises | Fixed wireless |
| Full-fibre (FTTP) share | 39% 2,314 premises | 7% 89 premises |
Climate
| Maleny | Wootha | |
|---|---|---|
| Annual rainfall | 950 mm same for both | |
| Summer max (Jan) | — same for both | |
| Winter min (Jul) | — same for both | |
Air quality (annual mean)
| Maleny | Wootha | |
|---|---|---|
| PM2.5 | 4.3 µg/m³ same for both | |
| PM10 | 12.3 µg/m³ same for both | |
| NO₂ | — same for both | |
Council rates
| Maleny | Wootha | |
|---|---|---|
| Average residential rate | $1,690/yr same for both | |
| Council | Sunshine Coast same for both | |
Federal electorate
| Maleny | Wootha | |
|---|---|---|
| Division | Fisher same for both | |
| Member | Andrew Wallace same for both | |
| Party | Liberal National Party of Queensland same for both | |
First Home Owner Grant
| Maleny | Wootha | |
|---|---|---|
| Grant amount | $30,000 same for both | |
| Property price cap | $750,000 same for both | |
| Eligibility | New same for both | |
Tags
More comparisons
Other comparisons with Maleny
Other comparisons with Wootha
Information shown is provided as-is from Australian government and commercial data sources.
Always verify with the relevant authority before making property decisions.
See Data Sources and How We Calculate for details.