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New South Wales · Postcode 2084
Cottage Point postcode and suburb data
New South Wales · Phone area code 02 · 28 km from Sydney
Suburb snapshot
Cottage Point at a glance vs NSW
Fast facts and benchmark bars show the suburb's key postcode, Census, SEIFA, school and LGA signals in context.
Quick facts
Benchmarks against NSW
Income, rent and SEIFA figures are from the ABS 2021 Census and are reported in 2021 dollars, not adjusted for subsequent inflation.
Where Cottage Point ranks: household income is in the top 10% of NSW suburbs; rents are among the top 10% in NSW; SEIFA decile 10 puts it in the top 20% of Australia for socio-economic advantage.
ABS Census 2021 · SEIFA 2021Detailed comparison table
Cottage Point vs the NSW average and the national average, using population-weighted 2021 Census data.
| Metric | Cottage Point | NSW avg | AU avg | Greater Sydney |
|---|---|---|---|---|
| Household income/wk | $2,750 +NSW | $1,931 | $1,836 | $2,181 |
| Rent/wk | $607 +NSW | $445 | $390 | $506 |
| Mortgage/month | $4,300 +NSW | $2,247 | $1,958 | $2,587 |
| Median age | 60 | 45.0 | 45.0 | 39.0 |
| SEIFA decile | 10/10 +NSW | 6.0/10 | 6.0/10 | 10.0/10 |
| Unemployment | 0.0% -NSW | 5.0% | 5.0% | 5.0% |
Green pill = at least 10% above the NSW average; red = at least 10% below; grey = within 10%. For unemployment, colour polarity is inverted: lower is better.
Postcode 2084 covers Cottage Point, an inland suburb of Sydney about 28 km from the city centre. It forms part of the Sydney - Northern Beaches region of New South Wales. Local government services are provided by Northern Beaches.
According to the 2021 Census, Cottage Point has a population of 96 with a median age of 60. The median weekly household income is $2,750, above the NSW average.
Housing in Cottage Point includes a median weekly rent of $607, median monthly mortgage repayment of $4,300, with 43 total dwellings. These housing costs sit above the NSW average. Owner-occupied dwellings (owned or mortgaged) make up 75.7% of housing.
On the SEIFA Index of Relative Socio-economic Advantage and Disadvantage, Cottage Point scores in decile 10 out of 10, which is well above the national average.
Cottage Point is part of the Warringah statistical area in New South Wales.
Cottage Point details
Location, Census, housing, SEIFA and geography fields used across this profile.
| Postcode | 2084 |
| State | New South Wales (NSW) |
| Phone Area Code | 02 |
| Population (2021) | 96 |
| Median Age | 60 years |
| Median Household Income (Census 2021) | $2,750/week |
| Median Personal Income (Census 2021) | $1,350/week |
| Median Weekly Rent (Census 2021) | $607 |
| Median Monthly Mortgage (Census 2021) | $4,300 |
| Average Household Size | 1.9 persons |
| Area | 0.4 km² |
| Population Density | 237/km² |
| Total Dwellings | 43 |
| Australian Citizens | 68.8% |
| Unemployment Rate | 0.0% |
| SEIFA IRSAD Decile | 10/10 (well above average) |
| Latitude | -33.62091 |
| Longitude | 151.20225 |
| Distance from Sydney | 28 km |
| Region (SA4) | Sydney - Northern Beaches |
| Area (SA3) | Warringah |
| Local Government | Northern Beaches |
| Federal Electorate | Mackellar |
| State Electorate | Wakehurst |
| Time Zone | AEST (UTC+10), Australia/Sydney (standard time) |
Age Profile
Show counts
| 0–14 years | 0 (0.0%) |
| 15–24 years | 14 (14.6%) |
| 25–44 years | 18 (18.8%) |
| 45–64 years | 32 (33.3%) |
| 65+ years | 39 (40.6%) |
Housing Tenure
SEIFA socio-economic index
Health Conditions (2021 Census)
| Heart Disease | 9 (9.4%) |
| Arthritis | 8 (8.3%) |
| Asthma | 6 (6.2%) |
| Cancer | 5 (5.2%) |
| Diabetes | 3 (3.1%) |
| Lung Condition | 3 (3.1%) |
Long-term health conditions self-reported in the 2021 Census. Persons may report more than one condition.
Motor Vehicles per Dwelling
| No vehicle | 0 (0.0%) |
| 1 vehicle | 8 (18.6%) |
| 2 vehicles | 21 (48.8%) |
| 3+ vehicles | 14 (32.6%) |
Suburbs Near Cottage Point
Same Postcode (2084)
More Cottage Point Data
Page last reviewed . Data sources: Australian Bureau of Statistics 2021 Census (CC BY 4.0), SEIFA 2021 IRSAD, ACARA school profiles 2025. How this data is sourced.