EBS 19 Desirable Areas: Why They Don't Deliver the Best Growth

    Desirable areas have a reputation for the best growth. The data says otherwise.

    Jeremy Sheppard

    Jeremy Sheppard

    4 min read

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    Selling agents repeat the line. This area has great features and therefore will always be in high demand.

    The implication is that features dictate demand, so affluent suburbs must be the best performers.

    The data shows that is not true. Affluent areas grow in cycles. They fall harder than cheaper markets in corrections. They are not outperformers over time.

    Demand Is Not Desire

    A teenage boy wants a Ferrari. He cannot buy one. His desire does not move the price.

    The diagram below shows the difference between wishful thinking and real demand.

    Diagram titled Ferraris and Teenage Boys. On the left, an icon of a car inside a thought bubble next to a sad face is labelled False Demand. On the right, an icon of a happy face with arrows pointing to a car and a dollar sign is labelled True Demand.

    The same logic applies to property:

    • False demand: wanting to live somewhere
    • True demand: paying enough to push prices up

    A suburb being an appealing place to live all year round does not mean the demand to buy there is high all year round.

    Affluent Areas Grow in Cycles

    The diagram below shows how growth ripples outward from affluent areas to neighbouring suburbs.

    Diagram titled The Ripple Effect. Three circles each contain a house icon with a dollar sign above. The houses get smaller from left to right. Wavy arrows connect each circle. Text below reads Affluent areas will not always outperform the less affluent suburbs in the same city.

    At the start of a growth cycle, an affluent area might take off first.

    After a few years, buyers eventually consider those areas too expensive. They start looking for the next best alternative.

    Demand reduces for the affluent area. Demand increases for its neighbour.

    That is the ripple. Both the ideal market and the bridesmaid suburbs go through accelerated and reduced phases. No suburb outperforms forever.

    Affluent Areas Fall Hardest in Corrections

    The chart below shows annual price growth across three segments of the Australian property market from 1998 to 2018 (chart sourced from Core Logic). Top 10% most expensive, median, and bottom 10%.

    Line chart titled Annual change in values combined capital cities sourced from Cotality. The horizontal X axis spans from May 98 to May 18. The vertical Y axis ranges from minus 20 percent to 40 percent. Three lines plot growth rates. The grey line shows the top 10 percent most expensive suburbs of the state capitals. The blue line shows the bottom 10 percent. The black line shows the median. Four red rectangles mark periods where the median went into negative growth. In all four corrections, the grey line drops further than the black or blue lines. The blue line went negative in only one of the four corrections.
    • Period: May 1998 to May 2018
    • Duration: 20 years
    • Corrections observed: 4
    • Affluent areas: fell hardest in all 4
    • Cheapest 10%: went negative only once

    In tough times, demand for upper-class markets drops more noticeably than for the cheaper end.

    Growth Is Driven by Supply and Demand

    If there are 100 mansions and only 10 millionaires, mansion prices fall - oversupply.

    If there are 1,000 buyers chasing 10 affordable properties, prices rise.

    The mistake is assuming nice features create more demand. Features are relevant, but there is something else involved.

    That something else is price.

    Features Define Price, Not Demand

    Imagine two properties:

    • Property A: close to shops, schools, transport, parks. Quiet tree-lined street. 4,000 square metre block. 10 bedrooms, 4 bathrooms, 2 pools, tennis court, helipad.
    • Property Z: miles from anything. 5-minute drive to a servo. 400 square metre block. Rusty shed. No town water or sewerage.

    If features alone determined demand, then demand for property A should be way higher than demand for property Z.

    Now add a price tag:

    • Property A asking $150,000,000
    • Property Z asking $150

    Demand for property A could literally be zero. But demand for Z could be in the thousands.

    As prices rise in a specific suburb, buyers eventually cannot justify paying so much. They look elsewhere for value. Nothing subdues demand like sky-high prices.

    Demand is not a function of features alone, it is dependent on features and price.

    Conclusion

    Capital growth comes from one thing. Demand exceeding supply.

    Desirable areas do not deliver the best growth. Historical data shows this.

    The Ripple Effect shifts growth between affluent areas and their neighbours. The data shows affluent areas fall hardest in corrections.

    Features set the current price. Price plus features set the current demand. Growth depends on whether demand exceeds supply going forward.

    What matters is whether demand outweighs supply in that market. That can happen in areas with less features, less desirable areas.

    The advice that desirable areas always grow best is not just wrong according to historical data. It mistakes desire for demand.

    Tagged:

    High Growth SuburbsMarket SelectionInvestment StrategyProperty DemandProperty Investing Myths