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New South Wales · Postcode 2449
South Arm postcode and suburb data
New South Wales · Phone area code 02 · 385 km from Sydney
Suburb snapshot
South Arm 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 South Arm 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
South Arm vs the NSW average and the national average, using population-weighted 2021 Census data.
| Metric | South Arm | NSW avg | AU avg |
|---|---|---|---|
| Household income/wk | $900 -NSW | $1,931 | $1,836 |
| Rent/wk | $178 -NSW | $445 | $390 |
| Mortgage/month | $921 -NSW | $2,247 | $1,958 |
| Median age | 49 | 45.0 | 45.0 |
| SEIFA decile | 2/10 -NSW | 6.0/10 | 6.0/10 |
| Unemployment | 17.6% +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.
South Arm is a locality 385 km from Sydney in New South Wales, classified as outer regional by the ABS. The postcode is 2449. It falls within the Mid North Coast region. The local government area is Nambucca Valley.
According to the 2021 Census, South Arm has a population of 311 with a median age of 49. The median weekly household income is $900, below the NSW average. The unemployment rate is 17.6%, higher than the NSW average. The Indigenous population is 75 (24.1% of residents).
Housing in South Arm includes a median weekly rent of $178, median monthly mortgage repayment of $921, with 109 total dwellings. Housing costs in the area sit below the NSW average. Owner-occupied dwellings (owned or mortgaged) make up 69.3% of housing.
On the SEIFA Index of Relative Socio-economic Advantage and Disadvantage, South Arm scores in decile 2 out of 10, which is well below the national average.
South Arm is part of the Kempsey - Nambucca statistical area in New South Wales.
South Arm details
Location, Census, housing, SEIFA and geography fields used across this profile.
| Postcode | 2449 |
| State | New South Wales (NSW) |
| Phone Area Code | 02 |
| Population (2021) | 311 |
| Median Age | 49 years |
| Median Household Income (Census 2021) | $900/week |
| Median Personal Income (Census 2021) | $450/week |
| Median Weekly Rent (Census 2021) | $178 |
| Median Monthly Mortgage (Census 2021) | $921 |
| Average Household Size | 2.5 persons |
| Area | 97.4 km² |
| Population Density | 3/km² |
| Total Dwellings | 109 |
| Australian Citizens | 84.6% |
| Indigenous Population | 75 (24.1%) |
| Unemployment Rate | 17.6% |
| SEIFA IRSAD Decile | 2/10 (well below average) |
| Latitude | -30.6728651 |
| Longitude | 152.7886388 |
| Distance from Sydney | 385 km |
| Region (SA4) | Mid North Coast |
| Area (SA3) | Kempsey - Nambucca |
| Local Government | Nambucca Valley |
| Federal Electorate | Cowper |
| State Electorate | Oxley |
| Time Zone | AEST (UTC+10), Australia/Sydney (standard time) |
Age Profile
Show counts
| 0–14 years | 46 (14.8%) |
| 15–24 years | 26 (8.4%) |
| 25–44 years | 60 (19.3%) |
| 45–64 years | 84 (27.0%) |
| 65+ years | 87 (28.0%) |
Housing Tenure
SEIFA socio-economic index
Health Conditions (2021 Census)
| Arthritis | 32 (10.3%) |
| Asthma | 20 (6.4%) |
| Diabetes | 16 (5.1%) |
| Lung Condition | 15 (4.8%) |
| Heart Disease | 12 (3.9%) |
| Cancer | 11 (3.5%) |
Long-term health conditions self-reported in the 2021 Census. Persons may report more than one condition.
Motor Vehicles per Dwelling
| No vehicle | 10 (9.8%) |
| 1 vehicle | 30 (29.4%) |
| 2 vehicles | 38 (37.3%) |
| 3+ vehicles | 24 (23.5%) |
Suburbs Near South Arm
Same Postcode (2449)
More South Arm 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.