City of West Torrens
SEIFA - disadvantage by small area
In 2011, Lockleys had the lowest level of disadvantage in the City of West Torrens, with a SEIFA index score of 1,055.3.
The City of West Torrens SEIFA Index of Disadvantage measures the relative level of socio-economic disadvantage based on a range of Census characteristics. It is a good place to start to get a general view of the relative level of disadvantage in one area compared to others and is used to advocate for an area based on its level of disadvantage.
The index is derived from attributes that reflect disadvantage such as low income, low educational attainment, high unemployment, and jobs in relatively unskilled occupations. When targeting services to disadvantaged communities, it is important to also look at these underlying characteristics as they can differ markedly between areas with similar SEIFA scores and shed light on the type of disadvantage being experienced.
A higher score on the index means a lower level of disadvantage. A lower score on the index means a higher level of disadvantage.
The percentile column indicates the approximate position of this small area in a ranked list of Australia’s suburbs and localities. It’s meant to give an indication of where the area sits within the whole nation. A higher number indicates a higher socio-economic status. For instance, a percentile of 72 indicates that approximately 72% of Australia’s suburbs have a SEIFA index lower than this area (more disadvantaged), while 28% are higher.
|Index of Relative Socio-economic Disadvantage|
|City of West Torrens's small areas and benchmark areas|
|150||Lockleys||1,055.3||40004||Index of Relative Socio-economic Disadvantage||77|
|130||Fulham - West Beach||1,047.4||40004||Index of Relative Socio-economic Disadvantage||73|
|280||Lockleys Ward||1,041.6||40004||Index of Relative Socio-economic Disadvantage||70|
|190||Novar Gardens - Glenelg North||1,027.6||40004||Index of Relative Socio-economic Disadvantage||61|
|250||Airport Ward||1,015.8||40004||Index of Relative Socio-economic Disadvantage||55|
|290||Morphett Ward||1,012.6||40004||Index of Relative Socio-economic Disadvantage||53|
|270||Keswick Ward||1,002.8||40004||Index of Relative Socio-economic Disadvantage||47|
|240||Underdale||1,002.1||40004||Index of Relative Socio-economic Disadvantage||47|
|50||Australia||1,002.0||40004||Index of Relative Socio-economic Disadvantage||47|
|140||Kurralta Park - Glandore||1,000.0||40004||Index of Relative Socio-economic Disadvantage||46|
|110||Camden Park||1,000.0||40004||Index of Relative Socio-economic Disadvantage||46|
|200||Plympton||999.8||40004||Index of Relative Socio-economic Disadvantage||46|
|10||City of West Torrens||997.7||40004||Index of Relative Socio-economic Disadvantage||45|
|20||Greater Adelaide||993.2||40004||Index of Relative Socio-economic Disadvantage||42|
|180||North Plympton - Netley||992.8||40004||Index of Relative Socio-economic Disadvantage||42|
|40||South Australia||983.3||40004||Index of Relative Socio-economic Disadvantage||37|
|160||Marleston - Ashford - Keswick||982.3||40004||Index of Relative Socio-economic Disadvantage||37|
|300||Plympton Ward||981.6||40004||Index of Relative Socio-economic Disadvantage||37|
|230||Torrensville||977.4||40004||Index of Relative Socio-economic Disadvantage||35|
|170||Mile End||977.1||40004||Index of Relative Socio-economic Disadvantage||35|
|210||Richmond - West Richmond - Mile End South||970.8||40004||Index of Relative Socio-economic Disadvantage||32|
|310||Thebarton Ward||968.9||40004||Index of Relative Socio-economic Disadvantage||31|
|260||Hilton Ward||962.9||40004||Index of Relative Socio-economic Disadvantage||29|
|100||Brooklyn Park - Adelaide Airport||962.7||40004||Index of Relative Socio-economic Disadvantage||29|
|220||Thebarton||960.3||40004||Index of Relative Socio-economic Disadvantage||28|
|120||Cowandilla - Hilton||949.5||40004||Index of Relative Socio-economic Disadvantage||24|
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Source: Australian Bureau of Statistics, Census of Population and Housing (opens a new window) 2011. Compiled and presented in profile.id by .id (opens a new window), the population experts.
(Usual residence data)