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Our cities are widening the divide between the well-off and the rest. How can we turn this damaging trend around?

Our cities are widening the divide between the well-off and the rest. How can we turn this damaging trend around?

The “latte line” is the infamous, invisible boundary that divides Sydney between the more affluent north-east and the south-west.

Historically, people north of the line enjoy better access to jobs and education and can capitalise on rising property wealth.

This has reinforced economic inequality.

Despite our image as a classless society, similar spatial divides have long marked Australia’s other capital cities as well.

So are things getting better or worse?

We set out to answer this question by investigating neighbourhood population changes across Australia’s five largest cities – Sydney, Melbourne, Brisbane, Adelaide and Perth.

We used census data to track patterns of wealth and disadvantage between 2011 and 2016.

We looked at who moved in, out of or remained in each location, and who goes to work where.

We found clear evidence of social exclusion at work.

These capital cities are becoming more segregated along socioeconomic lines.

And the trend was worst in Sydney.

Measuring gentrification and exclusion

To see whether we could detect gentrification in action, we looked for evidence of lower-income people being displaced from well-located areas.

We were also interested in signs of the reverse.

For instance, has the boom in apartments near transport and employment centres helped lower-income earners find more housing near their workplaces, counteracting spatial exclusion?

Using internal migration data from 2011 and 2016, we traced movement between locations using the Australian Bureau of Statistics (ABS) “Statistical Area Level 2” (SA2) – the smallest area for the release of full census statistics.

These localities also have Socio-Economic Indices for Areas (SEIFA) scores.

This is a combined measure of socio-economic advantage and disadvantage, education, occupation and economic resources.

We classified every SA2 into one of four neighbourhood types:

  1. escalator: people moving in come from SA2s with the same or lower SEIFA scores, and people moving out go to SA2s with higher SEIFA scores, so escalators signify upward social mobility
  2. gentrifier: in-movers come from SA2s with higher SEIFA scores (more affluent areas) and out-movers go to SA2s with the same or lower SEIFA scores
  3. isolate: in-movers and out-movers come from and go to SA2s with the same or lower SEIFA scores, so the movers have likely been “priced out” or excluded from other localities
  4. transit: in-movers and out-movers come from and go to SA2s with higher SEIFA scores.
Graphic showing movements of people into and out of the four types of neighbourhood
The four types of neighbourhood, with arrows indicating the main inward and outward flows of residents.
Source: Spatial segregation and neighbourhood change, Sarkar et al 2024/AHURI, CC BY-NC

We counted the SA2s falling into each of these neighbourhood types.

The results show clear, dynamic patterns of social exclusion along geographic lines.

In the most advantaged areas, isolated neighbourhoods dominate.

This indicates lower–income earners have already been excluded from these locations.

By contrast, transit neighbourhoods cluster in more disadvantaged neighbourhoods.

This suggests these locations may offer access to economic opportunity.

But they are at risk of becoming gentrified, excluding and displacing lower-income residents.

Measuring access to jobs

Access to jobs is essential for economic opportunity.

We measured connectivity to the main centres of employment at the SA2 level for all five cities, using ABS Census journey-to-work data.

Again, we found higher SEIFA-scoring neighbourhoods were better connected to employment centres than those with lower SEIFA scores.

Higher-income earners can afford to live close to their workplaces.

Lower-income workers can’t.

Housing and jobs create a double disadvantage

The most advantaged households benefit from their high access to employment opportunities.

This is reflected in high house prices and rents in those neighbourhoods.

And that, in turn, reinforces patterns of household wealth, poverty and spatial segregation.

Our study revealed that high-income and very-high-income earners are clustering in ever-tighter spatial groups.

In effect, they live behind an invisible “neighbourhood exclusion barrier”.

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