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New South Wales · Postcode 2456
Dirty Creek postcode and suburb data
New South Wales · Phone area code 02 · 469 km from Sydney
Suburb snapshot
Dirty Creek 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 Dirty Creek ranks: household income sits in the bottom 25% of NSW suburbs; SEIFA decile 2 places it in the bottom 20% of Australia for socio-economic advantage.
ABS Census 2021 · SEIFA 2021Detailed comparison table
Dirty Creek vs the NSW average and the national average, using population-weighted 2021 Census data.
| Metric | Dirty Creek | NSW avg | AU avg |
|---|---|---|---|
| Household income/wk | $1,125 -NSW | $1,931 | $1,836 |
| Rent/wk | $385 -NSW | $445 | $390 |
| Mortgage/month | $1,500 -NSW | $2,247 | $1,958 |
| Median age | 32 | 45.0 | 45.0 |
| SEIFA decile | 2/10 -NSW | 6.0/10 | 6.0/10 |
| Unemployment | 5.6% +NSW | 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.
Dirty Creek is a locality 469 km from Sydney in New South Wales, classified as inner regional by the ABS. The postcode is 2456. It falls within the Coffs Harbour - Grafton region. The local government area is Coffs Harbour.
According to the 2021 Census, Dirty Creek has a population of 106 with a median age of 32. The median weekly household income is $1,125, below the NSW average. The unemployment rate is 5.6%, higher than the NSW average. The Indigenous population is 6 (5.7% of residents).
Housing in Dirty Creek includes a median weekly rent of $385, median monthly mortgage repayment of $1,500, with 32 total dwellings. Housing costs in the area sit below the NSW average. Owner-occupied dwellings (owned or mortgaged) make up 82.9% of housing.
On the SEIFA Index of Relative Socio-economic Advantage and Disadvantage, Dirty Creek scores in decile 2 out of 10, which is well below the national average.
Dirty Creek is part of the Coffs Harbour statistical area in New South Wales.
Dirty Creek details
Location, Census, housing, SEIFA and geography fields used across this profile.
| Postcode | 2456 |
| State | New South Wales (NSW) |
| Phone Area Code | 02 |
| Population (2021) | 106 |
| Median Age | 32 years |
| Median Household Income (Census 2021) | $1,125/week |
| Median Personal Income (Census 2021) | $575/week |
| Median Weekly Rent (Census 2021) | $385 |
| Median Monthly Mortgage (Census 2021) | $1,500 |
| Average Household Size | 2.9 persons |
| Area | 15.6 km² |
| Population Density | 7/km² |
| Total Dwellings | 32 |
| Australian Citizens | 82.1% |
| Indigenous Population | 6 (5.7%) |
| Unemployment Rate | 5.6% |
| SEIFA IRSAD Decile | 2/10 (well below average) |
| Latitude | -29.9863 |
| Longitude | 153.15 |
| Distance from Sydney | 469 km |
| Region (SA4) | Coffs Harbour - Grafton |
| Area (SA3) | Coffs Harbour |
| Local Government | Coffs Harbour |
| Federal Electorate | Page |
| State Electorate | Coffs Harbour |
| Time Zone | AEST (UTC+10), Australia/Sydney (standard time) |
Age Profile
Show counts
| 0–14 years | 23 (21.7%) |
| 15–24 years | 13 (12.3%) |
| 25–44 years | 30 (28.3%) |
| 45–64 years | 26 (24.5%) |
| 65+ years | 14 (13.2%) |
Housing Tenure
SEIFA socio-economic index
Health Conditions (2021 Census)
| Diabetes | 12 (11.3%) |
| Arthritis | 9 (8.5%) |
| Lung Condition | 4 (3.8%) |
| Asthma | 3 (2.8%) |
| Heart Disease | 3 (2.8%) |
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 | 9 (26.5%) |
| 2 vehicles | 9 (26.5%) |
| 3+ vehicles | 16 (47.1%) |
Suburbs Near Dirty Creek
Same Postcode (2456)
More Dirty Creek 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.