North Wollongong vs Fairy Meadow
North Wollongong is the younger of the two, with a median age of 30 against 38 in Fairy Meadow. In North Wollongong, most households rent, the large majority of homes are flats or apartments, and about half of households are people living alone. In Fairy Meadow, most households own their home and most homes are detached houses. Houses cost more in Fairy Meadow: a median of $1.36 million, against $1.23 million in North Wollongong. On these figures, North Wollongong tends to suit renters, young adults, and people living alone.
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
Fairy Meadow
ahead on 5 of the 6 things we measure here
- has more separate houses rather than flats (57% vs 17%)
- has more parks and reserves (8 vs 3)
- has more childcare (5 vs 2)
Weighs schools, house stock, crime, parks, childcare, and who already lives there.
First-home buyers
North Wollongong
ahead on 2 of the 3 things we measure here
- leaves households under less mortgage stress (29% vs 36%)
- has cheaper houses ($1,227,500 vs $1,360,000)
- But Fairy Meadow has cheaper units ($600,000 vs $775,000)
Weighs house prices, unit prices, and mortgage stress.
Renters
North Wollongong
ahead on the one thing that separates them
- has a bigger rental market to choose from (67% vs 42%)
Weighs rent, rental stress, and how much is for rent.
Commuting to the city
Fairy Meadow
ahead on the one thing that separates them
- is more walkable (89/100 vs 66/100)
Weighs distance, drive time, rail access, and walkability.
Downsizers and retirees
Fairy Meadow
ahead on 3 of the 5 things we measure here
- has more residents already 65 and over (20% vs 13%)
- is more walkable (89/100 vs 66/100)
- carries lower crime risk (77/100 vs 93/100)
- But North Wollongong has more units and townhouses to downsize into (83% vs 43%)
Weighs smaller dwellings, who already lives there, GPs, walkability, and crime.
Investors
Fairy Meadow
ahead on the one thing that separates them
- is growing faster (1.4% vs -11.8%)
Weighs unit yield and population growth.
Where they sit
North Wollongong and Fairy Meadow 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
Fairy Meadow has more residents (7,512 vs 2,299); Fairy Meadow skews older (38 vs 30).
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Population | 2,299 | 7,512 +227% vs other |
| Population trend (2016 → 2021) | -11.8% | +1.4% |
| Median age | 30 | 38 |
| Median household income | $80,548/yr +9% vs other | $73,164/yr |
| Median weekly rent | $395/wk +1% vs other | $390/wk |
Age profile
Share of residents in each band, 2021 Census.
Bars are drawn against the largest share shown (26.6%).
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 (20.8%).
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 (3.4%).
What people live in
Occupied private dwellings by structure, 2021 Census.
Property market
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Median house price | $1,227,500 | $1,360,000 |
| Median unit price | $775,000 | $600,000 |
| Median land price | — same for both | |
| Typical days to sell (houses) | 23 days from 3 sales | 28 days from 38 sales |
Unit price by bedroom count
Only bed counts both suburbs published enough sales for. Sale counts are shown because the buckets differ in depth.
8 vs 16 sales
29 vs 43 sales
8 vs 18 sales
Zoning mix
North Wollongong has more land zoned for conservation (19% vs 0%).
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Residential | 14% | 52% |
| Infrastructure and transport | 34% | 13% |
| Parks and recreation | 15% | 20% |
| Environmental | 19% | 0% |
| Industrial | 16% | 11% |
| Commercial | 0% | 2% |
| Planning zones cover 98% of North Wollongong and 99% of Fairy Meadow. The rest is unzoned land such as water or road reserve. | ||
| Zoning sets what may be built, not what is there today. A single address can sit in a different zone to the suburb around it. Zones as at 2026-09. | ||
Development activity
| North Wollongong | Fairy Meadow | |
|---|---|---|
| New dwellings approved | 1,476 across Wollongong same for both | |
| Approvals change year on year | -31% same for both | |
Gross rental yield
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Houses | — | 2.9% $765/wk on $1.35M |
| Units | 3.6% $700/wk on $1M | 4.0% $570/wk on $745K |
Ranking within NSW
| North Wollongong | Fairy Meadow | |
|---|---|---|
| House price | Higher than 49% of NSW | Higher than 66% of NSW |
| Income | Higher than 48% of NSW | Higher than 40% of NSW |
| Schools | Higher than 17% of NSW | Higher than 7% of NSW |
| Walkability | Higher than 87% of NSW | Higher than 96% of NSW |
| Affordability | Higher than 50% of NSW | Higher than 25% of NSW |
| EV adoption | Higher than 86% of NSW same for both | |
| NBN connectivity | Higher than 69% of NSW | Higher than 76% of NSW |
| Rental yield (houses) | — | Higher than 19% of NSW |
| Rental yield (units) | Higher than 13% of NSW | Higher than 23% of NSW |
Liveability
Fairy Meadow is more walkable (89 vs 66).
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Grade | C same for both | |
| Score | 45/100 | 48/100 |
| Socio-economic band | advantaged area decile 8/10 | mid-range socio-economic decile 5/10 |
Risk profile
North Wollongong carries more crime risk (93 vs 77).
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Bushfire | None 0/100 same for both | |
| Crime | High 93/100 | High 77/100 |
| Flood | Not mapped no mapped data here same for both | |
| Coastal erosion | Low 16/100 | Low 17/100 |
| Aircraft noise | None 0/100 same for both | |
| Industrial facilities nearby | 4 within 5 km | 2 within 5 km |
Schools
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Inside the suburb | 3 | 4 |
| Rated above peers | 0 same for both | |
| Rated at peers | 1 | 4 |
| Rated below peers | 1 | 0 |
| Universities within 10 km | 1 UOW Wollongong, 2.3 km | 1 UOW Wollongong, 3.8 km |
| Full-time students aged 15–24 | 15.8% | 4.7% |
Schools in North Wollongong
- Wollongong High School of the Performing Arts Government · Secondary at peers
- Keira High School Government · Secondary below peers
- Para Meadows School Government · Combined · Special school
Schools in Fairy Meadow
- Fairy Meadow Public School Government · Primary at peers
- Good Samaritan Catholic Primary School Catholic · Primary at peers
- Mount Ousley Public School Government · Primary at peers
- Towradgi Public School Government · Primary at peers
Amenities in the suburb
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Supermarkets | 0 | 3 |
| Cafes & restaurants | 8 | 5 |
| Parks & reserves | 3 | 8 |
| Childcare | 2 | 5 |
| GPs | 0 | 1 |
| Pharmacies | 0 | 1 |
| Banks & Bank@Post | 0 | 3 |
| Fuel stations | 0 | 2 |
| EV chargers | 1 same for both | |
| Beaches | 1 | 0 |
| Waterways | 2 | 7 |
Mobility
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Walkability score | 66/100 | 89/100 |
| Distance to Sydney | 83.3 km | 83 km |
| Drive time (normal traffic) | 79 min same for both | |
| Public transport score | 79/100 Rail · Bus same for both | |
| Peak arrivals per hour | 95.2 7-9am + 5-7pm | 256.8 7-9am + 5-7pm |
| Median peak wait | 0 min scheduled, not actual same for both | |
| Electric vehicle share | 1.3% postcode 2500 | 1.3% postcode 2519 |
| Rooftop solar per 100 dwellings | 14 postcode 2500 | 30 postcode 2519 |
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 (57.9%).
Setting
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Elevation | 5 m above sea level, at the suburb centre | 12 m above sea level, at the suburb centre |
| Distance to the ocean | 612 m 847 m to a named beach | 1.2 km 1.2 km to a named beach |
NBN connectivity
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Connectivity score | 58/100 | 69/100 |
| Most common technology | Fibre to the node same for both | |
| Full-fibre (FTTP) share | 24% 1,576 premises | 44% 3,773 premises |
Climate
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Annual rainfall | 1,038 mm same for both | |
| Summer max (Jan) | — same for both | |
| Winter min (Jul) | — same for both | |
Air quality (annual mean)
| North Wollongong | Fairy Meadow | |
|---|---|---|
| PM2.5 | 6.2 µg/m³ same for both | |
| PM10 | 18.2 µg/m³ same for both | |
| NO₂ | 0.66 pphm same for both | |
Council rates
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Average residential rate | $1,751/yr same for both | |
| Council | Wollongong same for both | |
Federal electorate
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Division | Cunningham same for both | |
| Member | Alison Byrnes same for both | |
| Party | Australian Labor Party same for both | |
First Home Owner Grant
| North Wollongong | Fairy Meadow | |
|---|---|---|
| Grant amount | $10,000 same for both | |
| Property price cap | $600,000 same for both | |
| Eligibility | New same for both | |
Tags
More comparisons
Other comparisons with North Wollongong
Other comparisons with Fairy Meadow
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.