Moving though markets

Figures & data

Figure 1. Sydney urban extent, 1981 and 2006 and current local authority boundaries.

Table 1. Variables used for regionalisation analysis.

Variable	Composite parts/analysis	Caveats
Density	2006 Census data at the Collector District level. The overall variable is constructed as numbers of properties per Square Kilometre and converted to a standardised Z score.	N/A
Price	Two-fold approach:	Does not capture potential for low (or nil) mortgage payments amongst long-term homeowners. Those households who have paid down their loan over time could have low housing costs in a de facto expensive location.
	Sales (2 components)
	One year worth of sales data for a six-month period either side of Census collection day.
	Rental
	2006 Census collected variable on weekly rent.
	Composite
	Sales and Rental separately normalised (Z score) and then combined (summation) and normalised again – this was a necessary step as sales activity is less prevalent then rental turnover and because of the different values used.
Tenure	2006 Census data at the Collector District level. Percentage of stock in owner occupation (decreasing percentages therefore capturing an increasing number of rental properties. Percentage normalised using Z score.	Social Renting (either state or third sector provided) is treated the same as Private Rental. Concentrations of Social Renting may be initially misidentified as Private – subsequent analysis needed to identify submarkets where this may be the case.

Figure 2. Seven broad HMsAs intersecting urban Sydney.

Figure 3. Legend and example colour profiles achieved using RGB mapping.

Figure 4. HMdA geography.

Table 2. Movement within and between HMdA and HMsA (SLA composite) as percentage of total.

Origin/Destination Typology	SLA Containing entirely the same HMsA	SLA Containing the same HMsA and 1 other	SLA Containing the same HMsA and 2 others	SLA Containing the same HMsA and > 2 others	SLA Containing entirely different HMsA	Total
Within SLA (within same HMdA)	54%	23%	10%	13%	0%	447,857
Between SLA (within same HMdA)	47%	32%	9%	8%	4%	254,429
Between HMdAs	4%	8%	11%	32%	45%	197,456
Distance (average)	2–5 km^a	5–15 km	10–15 km	10–20 km	>15 km	9.2 km
^aThis is based on the centroid to centroid distance between SLAs. Whilst those moving within the same SLA return zero distance (the same centroid representing both origin and destination) none of these SLA in Sydney has a distance greater than 2 km from their centroid to their polygons outside edge. Correspondingly those SLAs containing the same functional submarket supply and capturing those moving between SLAs had centroids no greater than 5 km apart. These values were set as the base minimum, although in reality very local moves could well be substantially below this and further distance moves between SLAs could return higher distances depending on absolute origin and destination points.

Table 3. Main flows and contextualised HMsA profiles.

Flow	Origin	Destination	HMsA characteristics
1	Campbelltown	Camden	Lower-density cheaper to lower density expensive (greater ownership)
2	Kogarah	Sutherland Shire	Higher-density medium priced rental to lower density expensive (greater ownership)
3	Kogarah	Hurstville	Higher-density medium priced rental to mixed density more expensive
4	South Sydney	Marrickville	Higher-density higher priced rental to mixed density more expensive
5	Canterbury	Bankstown	Mixed density more expensive lower cost lower density (greater ownership)
6	Fairfield	Liverpool (West)	Lower cost lower-density (greater ownership) to lower density expensive (greater ownership)
7	North Sydney	Ku-ring-gai	Higher-density higher priced rental to lowest density highest cost
8	Parramatta	Auburn	Higher-density medium priced rental to lower cost lower density (greater ownership)
9	Parramatta	Blacktown	Higher-density medium priced rental to lower cost lower density (greater ownership)
10	Parramatta	Baulkham Hills	Higher-density medium priced rental to lower density expensive (greater ownership)
11	Blacktown	Baulkham Hills	Lower cost lower-density (greater ownership) lower density expensive (greater ownership)