Research

What drives credit and house prices

Which assumptions about arrears and house prices hold up in Australia’s official data, what else matters, and how far a suburb’s price can be forecast.

· 7 min read

General information, not legal or financial advice.

Which assumptions held

We tested eleven assumptions about what moves arrears and house prices against official data from the RBA, APRA, the ABS and Valuer-General Victoria. Four held, three held in part, three were not shown and one did not hold. An assumption held if its effect ran the expected way, with a t of 2 or more, and beat a naive guess on data the model had not seen. Of 40 factors nobody named, those that passed stricter tests are Found in the data.

AssumptionVerdictWhat the data shows
Inflation moves interest ratesPartlyThe RBA responded from 2015 (t 4.6), but inflation forecast the cash rate worse than no change.
Interest rates move capacity to repayHeldMortgage rates move 0.98 points per point on the cash rate; arrears follow 4 quarters later (t 2.1).
Unemployment moves capacity to repayHeld0.10 points more loans non-performing per point of unemployment (t 13.2); it beat a no-change guess on later quarters.
Inflation moves capacity to repay, beyond its effect on ratesNot shownNo effect once rates and unemployment are known (t −1.5).
Interest rates and unemployment move house pricesPartlyRight direction; forecast first, no better than average growth (7.4% against 6.8% two years out).
The suburb's household income sets its pricesHeldIncome alone explains 53% of price differences; socio-economic advantage carries the weight (t 16.1).
A new station, and convenience, lift pricesPartlyDistance to the CBD: −7.9% when it doubles. A new station: its suburbs grew 2.2% less than matched suburbs (95% interval −4.4% to +0.4%) two years after it opened.
Land sets pricesHeldCouncils’ median house block: +19.1% when it doubles (t 7.3).
A new centre, business hub or precinct lifts pricesNot shownSuburbs near a new centre, hub or precinct grew 5.0% less than matched suburbs (95% interval −8.5% to −1.8%) three years after it was announced; the newer projects did not repeat it.
Natural resources set pricesNot shownNo open measure; mining jobs add nothing (t 1.8). The coast adds 21% (t 8.2).
The same factors say which suburbs will growDid not holdBeat average growth by 4% on later years; four features changed sign.
Found in the data
Repayments relative to income: the price levelFound+19.6% per standard deviation (95% interval +12.5% to +27.1%)
Residents aged 25 to 39: the price levelFound−11.5% per standard deviation (95% interval −13.2% to −9.8%)
Density: the price levelFound+11.0% per standard deviation (95% interval +8.0% to +14.1%)
Households renting: growthFound−0.60 points a year per standard deviation, in both periods
New loans at 80% LVR or more: arrears aheadFoundLeads by 7 quarters; 24% closer than “no change”
Dwelling prices: arrears aheadFoundLeads by 4 quarters; 11% closer than “no change”
A region’s insolvency rate: next year’sFound38% closer than assuming the state’s rate

What matters most

  1. Point for point, unemployment is the strongest link to mortgage arrears. Each point has gone with about 0.10 points more housing loans non-performing, against 1.01% now (APRA; ABS).
  2. Rate rises reach borrowers almost in full, and arrears follow about a year later. A $600,000 loan’s repayment went from $2,530 a month in December 2021 to $3,675 in July 2026 (RBA table F6).
  3. Arrears concentrate where equity is thin. Loans at 95% LVR or more have been non-performing 11.7 times as often as loans under 60% (APRA).
  4. A suburb’s price level can be explained; its growth cannot. Socio-economic advantage, distance to the CBD, the coast and land explain 80% of the differences between suburbs’ medians on councils the model had not seen; with three of the factors below, 89% (Valuer-General Victoria; ABS SEIFA).

The ten factors that track prices most

Each factor’s correlation with suburbs’ 2025 median house prices, one at a time, strongest first (ABS Census; Valuer-General Victoria). Factors overlap, so the last column says whether each still matters when tested with the others. Rent and repayments are left out: they are partly the price itself.

RankFactorCorrelationGoes withStill matters with the others
1Socio-economic advantage (SEIFA IRSAD)+0.83Higher pricesYes
2Share of adults with a bachelor degree or higher+0.82Higher pricesNo
3Distance to the CBD−0.77Lower pricesYes
4Median household income+0.74Higher pricesNo
5Outside Greater Melbourne−0.65Lower pricesYes
6Residents per square kilometre+0.64Higher pricesYes
7Share of homes that are separate houses−0.56Lower pricesNo
8Council median shop price per m² (proxy)+0.55Higher pricesNo
9Share of land prone to bushfire−0.54Lower pricesYes
10Distance to the nearest railway station−0.53Lower pricesYes

What else matters

Tested on councils and years the models had not seen, with one correction for testing 40 factors, these carry weight (ABS Census; Valuer-General Victoria; method). Each is associated with prices; none is shown to cause them.

  • Repayments high relative to income. Where repayments take more of local income, prices are higher (+20% per standard deviation). Partly that is the price itself; it also marks buyers who stretched further, with thinner buffers.
  • More residents aged 25 to 39. Such suburbs are cheaper than location and income suggest (−11% per standard deviation); valuing them by their neighbours can overstate them.
  • Density. Denser suburbs are dearer than distance and income explain (+11% per standard deviation).
  • More households renting. Such suburbs grew a little more slowly in 2016–2021 and 2021–2025 (−0.6 points a year per standard deviation); small, 0.5% closer than the starting price alone.

Early warning

What moved first in APRA’s 30 quarters of housing data, and AFSA’s regional insolvencies (APRA; AFSA). One cycle: a guide, not a rule. Less high-LVR lending marks tighter credit, not safer loans.

What to watchWhat followedForChecks passed
More loans 30 to 89 days behindArrears up 2 quarters laterHome loans1 of 3
Fewer job vacanciesArrears up 1 quarter laterHome loans1 of 3
Fewer new loans at 80% LVR or moreArrears up 7 quarters laterHome loans3 of 3
Dwelling prices fallingArrears up 4 quarters laterHome loans3 of 3
A region’s insolvency rate, against the state’s88% of the gap stays next yearPersonal and small loans1 of 1
A jump in a region’s insolvency rate38% of it reverses next yearPersonal and small loans0 of 1

Six example suburbs

Illustrative only. Not a valuation, not a prediction to rely on, and not advice.

Each suburb’s 2025 median moves with its market, at a standard variable rate of 8.77% and the RBA’s August 2026 forecast. Ranges run from the 5th to the 95th percentile of past misses; on years left out, they held 79% of two-year outcomes and 74% of three-year ones (Valuer-General Victoria). Adding the growth factor that passed did not improve them.

Illustrative price ranges for six suburbs For each example suburb, the range its median could reach in 2027 and 2028, as a change on 2025: Richmond, 2027 −14% to +39%, 2028 −13% to +40%; Reservoir, 2027 −10% to +37%, 2028 −10% to +43%; Craigieburn, 2027 −8% to +42%, 2028 −5% to +50%; South Morang, 2027 −8% to +42%, 2028 −5% to +50%; Mildura, 2027 −10% to +47%, 2028 −9% to +62%; Torquay, 2027 −10% to +47%, 2028 −9% to +62%. 20272028Midpoint −20%0%+20%+40%+60% Richmond · inner · $1.40m in 2025 Richmond, 2027: $1,206,992 to $1,942,934 (−13.6% to +39.0%), midpoint $1,527,851 Richmond, 2028: $1,212,121 to $1,961,582 (−13.3% to +40.4%), midpoint $1,586,960 Reservoir · middle-ring · $950k in 2025 Reservoir, 2027: $852,933 to $1,303,345 (−10.2% to +37.2%), midpoint $1,038,611 Reservoir, 2028: $856,305 to $1,357,075 (−9.9% to +42.8%), midpoint $1,078,792 Craigieburn · outer growth · $715k in 2025 Craigieburn, 2027: $658,077 to $1,015,924 (−8.0% to +42.1%), midpoint $781,691 Craigieburn, 2028: $676,196 to $1,074,819 (−5.4% to +50.3%), midpoint $811,933 South Morang · near new rail · $800k in 2025 South Morang, 2027: $736,310 to $1,136,698 (−8.0% to +42.1%), midpoint $874,619 South Morang, 2028: $756,583 to $1,202,594 (−5.4% to +50.3%), midpoint $908,457 Mildura · regional · $536k in 2025 Mildura, 2027: $480,924 to $786,204 (−10.3% to +46.7%), midpoint $591,900 Mildura, 2028: $487,239 to $865,666 (−9.1% to +61.5%), midpoint $618,774 Torquay · coastal · $1.20m in 2025 Torquay, 2027: $1,078,939 to $1,763,826 (−10.3% to +46.7%), midpoint $1,327,911 Torquay, 2028: $1,093,107 to $1,942,096 (−9.1% to +61.5%), midpoint $1,388,201 −20%0%+20%+40%+60%
Illustrative, not a valuation. Bars run from the 5th to the 95th percentile of past misses, as a change on the 2025 median; dots are midpoints. Sources: Valuer-General Victoria; RBA.
Illustrative ranges for the example suburbs, not valuations
Suburb2025 median2027 range2028 rangePast two-year misses, inside the range
RichmondInner$1,397,500$1.21m to $1.94m$1.21m to $1.96m13%; 9 of 10
ReservoirMiddle-ring$950,000$853k to $1.30m$856k to $1.36m15%; 7 of 10
CraigieburnOuter growth$715,000$658k to $1.02m$676k to $1.07m11%; 9 of 10
South MorangNear new rail$800,000$736k to $1.14m$757k to $1.20m12%; 9 of 10
MilduraRegional$536,000$481k to $786k$487k to $866k8%; 10 of 10
TorquayCoastal$1,202,500$1.08m to $1.76m$1.09m to $1.94m17%; 7 of 10

How wrong it has been. Since 2005 the method missed Melbourne by 7.4% two years out, no better than average growth (6.8%); early 2026 sales are below the bottom of its 2026 range (Valuer-General Victoria). The ranges are the result, not the midpoints.

New stations and centres add little the data can see. With the event study’s small and uncertain effect, Glen Waverley’s 2027 range (Suburban Rail Loop East) moves from $1.55m–$2.36m to $1.57m–$2.41m, and Point Cook’s (East Werribee Employment Precinct) from $759k–$1.17m to $776k–$1.20m (method; Valuer-General Victoria).

What it means for a lender

  • Serviceability buffers cover rates, not job loss. Loans written at the 2021 low were tested at 5.6%; borrowers now pay 6.2% on average (RBA table F6).
  • Collateral risk differs by kind of suburb. Over two years, the middle 90% of suburbs strayed from their market by −14% to +18% in inner Melbourne and −15% to +24% in regional Victoria (Valuer-General Victoria).

How we tested this

Every model, its test and what the data cannot show: the method.

Sources

  1. RBA statistical table Indicator Lending Rates (F5): standard variable housing rate, owner-occupier. Reserve Bank of Australia, CC BY 4.0, retrieved 4 October 2026. Data: f5-data.csv.
  2. Quarterly Authorised Deposit-taking Institution Property Exposures statistics, June 2026. Australian Prudential Regulation Authority, CC BY 4.0, retrieved 4 October 2026. Data: Quarterly authorised deposit-taking institution property exposures statistics June 2026.xlsx.
  3. Census of Population and Housing 2021, General Community Profile DataPack, Suburbs and Localities, Victoria. Australian Bureau of Statistics, CC BY 4.0, retrieved 4 October 2026. Data: 2021_GCP_SAL_for_VIC_short-header.zip.
  4. Victorian Property Sales Report — Median House by Suburb Time Series, 2015–2025. Valuer-General Victoria (Department of Transport and Planning), CC BY 4.0, retrieved 4 October 2026. Data: houses-by-suburb-2015-2025.xlsx, from the Internet Archive’s copy.
  5. RBA statistical table Labour Force (H5): unemployment rate. Australian Bureau of Statistics, via the Reserve Bank of Australia, CC BY 4.0, retrieved 4 October 2026. Data: h5-data.csv.
  6. RBA statistical table Housing Lending Rates (F6): owner-occupier variable rates, new and outstanding. Reserve Bank of Australia, from APRA data, CC BY 4.0, retrieved 4 October 2026. Data: f6-data.csv.
  7. Socio-Economic Indexes for Areas (SEIFA) 2021, Suburbs and Localities. Australian Bureau of Statistics, CC BY 4.0, retrieved 4 October 2026. Data: Suburbs and Localities, Indexes, SEIFA 2021.xlsx.
  8. Quarterly Personal Insolvency Statistics — regional time series by Statistical Area Level 3, from September 2007. Australian Financial Security Authority, CC BY 2.5 AU, retrieved 4 October 2026. Data: regional_quarterly_time_series.csv.
  9. Statement on Monetary Policy, August 2026 — Outlook, Table 3.1 Detailed Forecast Table. Reserve Bank of Australia, CC BY 4.0, retrieved 4 October 2026.
  10. Victorian Property Sales Report — Time Series, Year Summary 2025 (by municipality, 1995–2026). Valuer-General Victoria (Department of Transport and Planning), CC BY 4.0, retrieved 4 October 2026. Data: year-summary-2025.xlsx, from the Internet Archive’s copy.
  11. Every source used, with its licence and the day it was retrieved: the method’s sources.