Kew - West

Overall assessment

The skills base and sectoral specialisations support knowledge economy activity, but recent sector growth has run below the state trend in the areas where this suburb concentrates employment, and the low density relative to peers suggests constrained capacity for intensification. For the rating to move to strong, the area would need to show local job growth matching or exceeding the state trend in at least one of its major specialisations, or evidence of housing stock growth that signals easing supply constraints.

Comparisons are against the median of the structural peer cohort in section 03. Percentile is the rank within Australia on the ABS Index of Relative Socio-economic Advantage and Disadvantage. Rates are computed from published counts using the formula shown on each figure.

Statistical Area Level 2 boundary, drawn from ABS ASGS 2021 Edition 3 geometry.

Boundaries are ABS Australian Statistical Geography Standard 2021 Edition 3. The Census count is from August 2021, the most recent Census. Estimated Resident Population is the official population measure and is more current, at 30 June 2025.

Kew - West sits in the middle of its structural cohort by population, fourth of six by socio-economic position, and last by density. The SEIFA score of 1126 places it at the 94th percentile nationally, below Toorak and Kew - South at the 97th but above Ivanhoe at the 91st. The low density relative to peers is the defining structural difference: at 2,099.5 people per square kilometre this area is built at suburban rather than inner-urban intensity despite sitting within Greater Melbourne's inner east.

Selected on log of Census population (weight 1), log of persons per square kilometre (weight 1), SEIFA IRSAD percentile within Australia (weight 1). Distance is standardised Euclidean; smaller is a closer match. Axis choice and weighting are set by Place AU and are disclosed rather than measured.

Axes not available for this geography: log of straight line distance to the nearest capital city.

Selected on log of Census population (weight 1), average annual population growth (weight 1.5), SEIFA IRSAD percentile within Australia (weight 0.5). Distance is standardised Euclidean; smaller is a closer match. Axis choice and weighting are set by Place AU and are disclosed rather than measured.

The median age is 41 years and the dependency ratio sits at 0.513, meaning roughly one dependent person for every two of working age. The youth component of 0.231 and aged component of 0.282 are reasonably balanced, though the aged share is slightly higher. Of the population, 15.3 per cent are under fifteen and 18.6 per cent are aged sixty-five or over. Kew - West ranks eighth of twelve within Boroondara for share of children and fifth for share of older residents, sitting close to the district median on both measures.

Age bands are reported as the Australian Bureau of Statistics publishes them. They are not recombined, because producing a band the ABS does not publish would require splitting a published band.

The participation rate of 64.3 per cent is nearly two percentage points above the state figure of 62.4 per cent, and the unemployment rate of 4.0 per cent is one point below Victoria's 5.0 per cent. Of 6,819 employed people, 4,065 work full time and 2,336 work part time, a ratio of 1.74 full-time workers for every part-time worker. This is a tighter labour market than the state average, with stronger attachment and lower spare capacity.

The four employment categories fall a few persons short of the employed total. The ABS perturbs each published cell independently to protect confidentiality, so the split is close but not an exact decomposition.

Qualifications

Of the 11,041 adults, 5,657 hold a bachelor degree or higher, representing 51.2 per cent of the adult population. Among the 8,128 people who hold any non-school qualification, 69.6 per cent have a degree, which is a university attainment rate well above metropolitan norms and consistent with the area's concentration in professional services and finance.

Health Care and Social Assistance is the largest employer at 1,228 jobs and 18.0 per cent of the workforce, followed by Professional, Scientific and Technical Services at 993 jobs and 14.6 per cent. Retail Trade and Education and Training each account for roughly 9 per cent. By occupation, Professionals make up 41.1 per cent of the workforce at 2,806 people, and Managers account for another 19.2 per cent at 1,310 people. Together these two groups represent 60.3 per cent of all employment, a share that aligns with the industry concentrations in services and finance.

The top three industries account for 41.6 per cent of employment, and the effective sector count of 11.2 indicates employment spreads broadly rather than concentrating. No single sector dominates, and no individual industry accounts for more than one job in five. This diversification reduces exposure to sector-specific downturns but also means the area lacks a dominant industry that could anchor a sector strategy.

Change since 2016

ABS Census time series table T34, industry of employment by sex, reported on 2021 boundaries so the two years are directly comparable.

Shares are of 6,819 employed persons. Inadequately described and not stated responses are excluded from the charts above and reported separately: 282^M for industry and 149^M for occupation.

Professional, Scientific and Technical Services shows a location quotient of 1.726, meaning it employs 1.726 times as many people as Victoria's workforce pattern would predict for an area this size, or roughly 418 more jobs than the state average accounts for. Financial and Insurance Services has a quotient of 1.594, about 164 jobs above the state pattern. Health Care and Social Assistance, the largest sector at 1,228 jobs, has a quotient of 1.277 and employs roughly 267 more people than the state pattern predicts. The effective sector count is 11.2, which is classified as diversified and means employment spreads across many industries rather than concentrating in a few. A downturn in one sector will affect a discrete part of the labour market rather than cascading across the whole economy.

Sector specialisation

A large sector is not necessarily a distinctive one. Location quotient compares the local employment share against the state, so a value of 1.5 means this place employs half again as many people in that sector as its size would predict.

Under-represented against the state

Employment concentration

Dependency structure

Dependants aged 0 to 14 and 65 and over, per person aged 15 to 64. The split between the youth and aged components matters more than the total, because they demand different services and imply different trajectories.

Housing cost pressure

A median against a median is not a household level stress rate. It indicates where the typical household sits, not how many households are under pressure, which the Census does not publish at this geography.

Growth the state trend does not explain

Employment change is split three ways: the part explained by state-wide growth, the part explained by how that sector performed across the state, and the residual attributable to local conditions. The residual is the column that says something about this place specifically.

ABS Census time series T34, local and state, on 2021 boundaries. The local effect is a residual and absorbs anything the first two components do not explain, so it indicates direction and relative magnitude rather than a precise local contribution.

For a council preparing an economic development strategy, the specialisations in professional services, finance and healthcare define the area's economic base and any intervention needs to align with that base rather than attempting to diversify it further. For a business deciding whether to locate here, the high quotients in knowledge sectors mean the local market already supports those industries and suppliers can find established demand, but the modest absolute size of each sector and the area's small geographic footprint mean scale businesses will draw most of their customers from beyond the suburb. The diversification index suggests resilience to sector-specific shocks, but it does not protect against a broader metropolitan downturn that affects all knowledge sectors at once.

Interpretation thresholds: location quotient above 1.2 is described as a specialisation, below 0.8 as under-represented. Concentration above 0.15 is described as concentrated. Housing cost above 30 per cent of median household income is described as above the affordability benchmark. These are conventions set by Place AU, not properties of the data.

Of 4,869 dwellings, 1,779 are owned outright, 1,383 are owned with a mortgage, and 1,540 are rented, giving a tenure split where ownership and rental are almost equal. Separate houses account for 2,389 dwellings while semi-detached and apartments together make up the remainder, meaning the housing stock is split almost evenly between detached and higher density forms. Median weekly rent is 456 dollars and median monthly mortgage repayments are 3,000 dollars, against a median household income of 2,459 dollars per week.

Where the growth comes from

Population change has three sources and they imply different things. Natural increase is births minus deaths. Net internal migration is people moving here from elsewhere in Australia. Net overseas migration is people arriving from overseas. For this area the largest contributor is net overseas migration.

Kew - West is one of 12 Statistical Areas Level 2 making up Boroondara, inside Melbourne - Inner East and Greater Melbourne. Every figure elsewhere in this report describes this area alone. This section places it against its immediate neighbours, because a figure that looks unusual against the state may be ordinary for the district, and the reverse.

Position is measured against the 12 Statistical Areas Level 2 that make up Boroondara. A rank of one is the highest value on that measure.

Neighbouring areas are the Statistical Areas Level 2 sharing this area's SA3, taken from ABS Data by Region rather than inferred from the code, because the ASGS code hierarchy does not guarantee the relationship.

Each theme below states a finding, the figures behind it, and the boundary of what those figures can carry. The right hand column matters as much as the left: a position the evidence does not support is one that will not survive scrutiny, and knowing where the line sits is what makes an evidence base usable.

An evidence base is only useful if its boundaries are stated. The following questions are not answered here, along with why and where the answer sits.

Each point names the figure behind it. A point that cannot cite a figure is not included.

The area offers strong skills, low unemployment and established specialisations in professional services and finance, but recent employment growth has lagged the state trend in the sectors that define the economic base. The low density relative to peers and the ageing owner-occupier population suggest constrained capacity for housing and workforce expansion under the current built form. Retail is the only major sector showing a positive local effect, and the effective sector count of 11.2 provides resilience to sector-specific shocks without creating dependence on any single industry.

Who this place suits, and who it does not

A service business in healthcare, professional services or finance that values proximity to a credentialed workforce and high-income local market, and that expects to draw most customers from beyond the suburb rather than relying on local demand alone. A residential developer with capacity for medium-density infill suits the housing market better than a large-scale greenfield operator, given the area's established character and low density relative to peers. Does not suit investors requiring rapid population growth or businesses dependent on construction sector momentum, because job growth is running below the state trend and construction employment sits well below the state pattern.

The binding constraint

The negative local effects in healthcare and professional services, at 188 jobs and 140 jobs respectively, indicate the area is not capturing growth in its defining sectors. The mechanism is not clear from the supplied data but the effect is unambiguous: specialisations that would normally strengthen during a growth phase are instead losing ground. Until one of these sectors records a positive local effect, the economic base is eroding in relative terms regardless of absolute employment levels.

What would break this reading

The verdict assumes employment in professional services, finance or healthcare will eventually revert to positive local effects as these sectors continue to grow statewide. If instead the negative local effects persist for another census period, it would indicate structural disadvantage rather than a temporary lag, and the rating would move to cautious. Watch for updated employment counts by industry division when the next census is published.

What would change it

A positive local effect in either healthcare or professional services in the next census, indicating the area is capturing sector growth rather than losing ground, would move the rating to strong. Updated population data showing material growth from 2021 to the latest year would confirm the housing stock is expanding, and a business counts dataset showing net firm entry in knowledge sectors would provide earlier confirmation than waiting for census employment data.

Several figures in this report are published by the Australian Bureau of Statistics in more than one table. Where they are, they have been compared. This is a check a modelled estimate cannot submit to, because a model output has no independent source to test it against.

A figure is treated as reconciled when sources differ by no more than 20 persons or 0.5 per cent, whichever is larger. The Australian Bureau of Statistics perturbs small counts to protect confidentiality, so exact agreement between independently published totals is not expected. The tolerance is set by Place AU and is disclosed rather than measured.

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Population growth rates are not published in the supplied data, so the report cannot assess whether the area is growing, stable or declining. Business counts by industry are not published, so the analysis cannot determine whether employment concentration reflects many small firms or a few large employers.

Location quotients describe the current structure but do not predict future growth, and an area specialised in a sector can still lose ground if it captures none of that sector's expansion.

No figure in this report originates from a commercial data provider or from a proprietary model. Every number can be traced to a published government dataset named in the previous section.