Rental Growth: +4.9% Extra Growth Per Year
Suburbs with rising rents above 2.5% per year see 4.9% more house price growth than those where rents dropped by 6.5% or more. That is extra growth, on top of whatever the market does.
This is one of several threshold indices in the Microburbs research programme.
What Is Rental Growth?
Rents tell you what is really happening in a suburb. House prices can be driven by sentiment, FOMO, and cheap credit. Rents reflect genuine demand from people who need somewhere to live.
When rents rise faster than prices, yields improve. This attracts investor capital that bids prices up. When rents drop sharply, it signals oversupply or shrinking demand. Capital growth follows.
The threshold is clear. Suburbs where median house rents grew above 2.5% in the past year see stronger capital growth over the next two years. Suburbs where rents dropped by more than 6.5% see dramatically weaker growth.
This is a single, observable variable: the year-on-year change in median weekly rent for houses. One number, one threshold, one clear result.
Core finding: Suburbs with rental growth above 2.5% outperform the broader market by +0.54% over 2 years, based on 576,732 property sales. Suburbs with rental drops below -6.5% underperform by -4.37%. This pattern held at 165 of 183 sample dates from 2008 to 2023.
Three Performance Tiers
The threshold splits suburbs into three tiers based on their year-on-year rental growth rate. Each tier shows a distinct growth pattern.
576,732 sales tested
356,431 sales tested
35,567 sales tested
4.9% spread between top and bottom tiers
Rising rents predict rising prices. Falling rents predict falling prices. The signal is consistent across 15 years of data.
Consistency Across 27 Sample Dates
We tested the signal at 27 different points in time between 2008 and 2023. The top tier outperformed the bottom tier at the vast majority of dates. The result held at 165 of 183 total sample dates (90.2%).
| Date | Extra Growth (2yr) |
|---|---|
| 2008-03 | -0.38% |
| 2008-10 | -0.04% |
| 2009-05 | +0.07% |
| 2009-12 | +1.07% |
| 2010-07 | +2.03% |
| 2011-02 | +2.78% |
| 2011-09 | +3.73% |
| 2012-04 | +2.75% |
| 2012-11 | +2.19% |
| 2013-06 | +6.25% |
| 2014-01 | +6.75% |
| 2014-08 | +9.29% |
| 2015-03 | +8.71% |
| 2015-10 | +8.53% |
| 2016-05 | +9.14% |
| 2016-12 | +6.55% |
| 2017-07 | +3.48% |
| 2018-02 | +2.20% |
| 2018-09 | +0.21% |
| 2019-04 | -0.30% |
| 2019-11 | -1.58% |
| 2020-06 | +0.51% |
| 2021-01 | +3.60% |
| 2021-08 | +7.43% |
| 2022-03 | +8.53% |
| 2023-02 | +6.87% |
| 2023-09 | +6.12% |
Geographic Breakdown
The signal works across most Australian regions. Positive spread means the signal works as expected.
The signal works in 11 of 13 regions. The strongest separation appears in Rest of Western Australia (+6.75% spread) and Greater Perth (+6.48% spread). Rest of NSW and the ACT are the only regions where the signal inverts.
| Region | Spread | Sales Tested |
|---|---|---|
| Rest of WA | +6.75% | 36,409 |
| Greater Perth | +6.48% | 43,016 |
| Rest of Qld | +6.36% | 106,292 |
| Greater Darwin | +5.76% | 3,464 |
| Rest of NT | +3.65% | 1,298 |
| Rest of SA | +3.25% | 29,952 |
| Greater Melbourne | +3.16% | 50,992 |
| Greater Sydney | +0.74% | 62,629 |
| Rest of Vic. | +0.33% | 77,018 |
| Greater Brisbane | +0.28% | 43,901 |
| Greater Adelaide | +0.19% | 47,308 |
| Rest of NSW | -0.11% | 101,446 |
| Australian Capital Territory | -2.52% | 7,888 |
Is This Pattern Real?
We tested this rigorously. The pattern of +4.9% extra spread was confirmed by testing across 968,730 total sales over 15 years.
This is a real signal, not a crystal ball. Many factors drive property prices, from interest rates to local infrastructure to supply constraints. Across 15 years of data, this pattern holds consistently.
The signal worked at 165 of 183 different time periods. It held in 11 of 13 geographic regions. The above-threshold suburbs beat the below-threshold suburbs in 92% of quarters. These results point to a genuine, repeatable pattern.
Want the Full Statistical Detail?
The Technical Whitepaper covers p-values, t-test methodology, and the full date-by-date and region-by-region breakdown.
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