Property guide
SEIFA stands for Socio-Economic Indexes for Areas. It is a set of four indexes published by the Australian Bureau of Statistics (ABS) after every Census that summarise the social and economic conditions of an area — not individuals. When you see a SEIFA decile on a suburb page, you are looking at how that suburb compares with the rest of Australia or NSW on measures like income, education, employment, and occupation.
The four SEIFA indexes each measure a slightly different aspect of socio-economic conditions. The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) is the broadest and most commonly cited. It combines both advantage indicators (high income, professional jobs, tertiary education) and disadvantage indicators (low income, low education, unemployment) into a single score.
The Index of Relative Socio-economic Disadvantage (IRSD) focuses only on disadvantage — it captures areas with a high concentration of low-income households, people with low educational attainment, and people in low-skilled occupations. A low IRSD score means a high concentration of disadvantage.
The Index of Education and Occupation (IEO) measures the educational and occupational profile of an area's working-age residents — not income directly, but the human capital indicators that tend to correlate strongly with income over time.
The Index of Economic Resources (IER) focuses on financial capital — income and wealth — including indicators like mortgage and rental amounts, vehicle ownership, and internet access at home.
SEIFA scores are ranked and divided into deciles, with decile 1 representing the bottom 10 percent of areas (most disadvantaged or least advantaged) and decile 10 representing the top 10 percent (most advantaged). The comparison group matters: Stickybeak reports IRSAD deciles relative to all of Australia, which is the most comparable figure across state lines.
A suburb with a decile of 8, 9, or 10 tends to have higher household incomes, more residents in professional or managerial occupations, and higher rates of tertiary education. A suburb with a decile of 1, 2, or 3 tends to have more households in financial stress, lower educational attainment, and higher reliance on government transfers.
Decile is not the same as rank. Two suburbs can have the same decile but different absolute scores. Because the decile scale has ten bands, each band contains roughly 10 percent of all areas — about 500 to 600 SA1 areas per decile nationally.
SEIFA is not a measure of the quality of a suburb or whether you should buy there. It is a measure of the current socio-economic profile of the residents, derived from Census data that is now several years old. A low-SEIFA suburb undergoing gentrification may look very different on the ground from what the Census data captures.
However, SEIFA correlates with several things buyers care about. Higher-SEIFA suburbs tend to have lower crime rates, better maintained public spaces, higher quality local retail and dining, and higher median property prices. They also tend to have more stable price growth over long time horizons, partly because the resident base is more resilient to economic shocks.
Lower-SEIFA suburbs offer lower entry prices and sometimes stronger percentage growth during boom cycles, because they start from a lower base. They may also offer better rental yields as a proportion of purchase price. Some of the best long-run capital gains in Sydney history have come from low-SEIFA areas that gentrified — Surry Hills, Newtown, Marrickville, and Redfern all follow this pattern.
SEIFA should be one signal in a broader analysis — not a single deciding factor.
Stickybeak displays the IRSAD (Index of Relative Socio-economic Advantage and Disadvantage) decile from the most recent ABS Census, benchmarked against Australia. You can see this on every suburb page under the SEIFA section, and compare it against the median suburb within the same LGA.
Because SEIFA is calculated at the SA1 or SA2 level (much smaller than a postcode), the figures displayed for a suburb are weighted from the underlying SA2 data mapped to that postcode. Where a postcode straddles multiple SA2 areas, Stickybeak uses population-weighted averaging to produce a single representative figure.
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