Mia Mia, QLD 4754
If you’re looking to buy, rent, or invest in property, it’s important to do your research on the suburb first. This includes looking at house prices, real estate rental market data, and other advanced metrics. Here, we’ve compiled that information for Mia Mia, QLD 4754 to help you make an informed decision about your property choice in this suburb.
Market Snapshot
This page provides an overview of the area’s real estate market. The data in this snapshot illustrates typical price, median rent and gross yield metrics for this suburb. You are able to visualise these 3 key metrics as well as other important indicators in the dashboard section that follows.
Typical Price for houses in this area. Percent changes indicate Year on Year growth or decline in house values. Typical Price is a more accurate metric than Median Price.
Buy
2BR
3BR
4BR
5BR
Median Weekly Rent for houses in this area. Percent changes indicate Year on Year growth or decline in rental prices. Calculated via median value formula applied to rental prices from online listings.
Rent
2BR
3BR
4BR
5BR
Yearly Gross Yield for houses in this area. Calculated by multiplying the Median Rent by 52 and dividing the resulting value by Typical Price. Percent changes indicate Year on Year growth or decline in Gross Yield for houses.
Yield
2BR
3BR
4BR
5BR
Typical Price for units in this area. Percent changes indicate Year on Year growth or decline in unit values. Typical Price is a more accurate metric than Median Price.
Buy
1BR
2BR
3BR
Median Weekly Rent for units in this area. Percent changes indicate Year on Year growth or decline in rental prices. Calculated via median value formula applied to rental prices from online listings.
Rent
1BR
2BR
3BR
Yearly Gross Yield for units in this area. Calculated by multiplying the Median Rent by 52 and dividing the resulting value by Typical Price. Percent changes indicate Year on Year growth or decline in Gross Yield for units.
Yield
1BR
2BR
3BR
Lower Risk Relative Composite Score™ is calculated based on more than 70 environmental, market and data risk indicators. Higher values indicate lower risk.
Lower Risk RCS™
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Capital Growth Relative Composite Score™ is calculated based on more than 70 indicators that suggest a strong future growth potential.
Capital Growth RCS™
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Cashflow Relative Composite Score™ is calculated based on more than 70 indicators that point to healthy rental market outlook.
Cashflow RCS™
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Essentials
This chart illustrates historical and projected quarterly typical price and number of sales, which are depicted as blue lines and green bars respectively. Council areas with average sales above 30/quarter and suburbs with sales above 7/quarter commonly produce high confidence forecasts.
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This chart shows historical and projected median rent and number of rentals, depicted as red lines and grey bars respectively. In many markets Rent prices lag the Typical Price by 1-2 years.
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This chart presents the gross rental yield, which is the value you generate from an investment property, represented as a percentage. The higher the percentage the better. Yield that is trending down frequently highlights a high demand market.
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This chart plots the annual percent change in typical prices for all suburbs in this LGA. Suburbs that cross the red (zero) line more than 3 times present poor capital growth opportunities.
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Fundamentals
The chart below shows the IRSAD score for the area. IRSAD stands for the
Index of Relative Advantage and Disadvantage. The higher the index, the more
well off the population is in the area.
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The pie chart below shows the percentage of renters to owners in an area. Generally speaking the more owners the better.
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The chart below shows the proportion of units to houses in this area.
Generally speaking the fewer units there are, the better.
This graph represents the dwelling demand profile for the LGA/suburb,
which tends to correlate with the tenant preference for property type and
number of bedrooms. Target dwelling type and number of bedrooms with the
highest number of sales.
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The “Years to Own” metric represents the estimated duration required to fully own a property, factoring in variables such as current interest rates, median family income, and typical property prices in the area. This calculation is based on the assumption of a standard 30-year mortgage. A value exceeding 30 years could be an indicator of decreased affordability in the area.
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Supply
Stock on Market
Inventory
Hold Period
Building Approvals
The most important metric for understanding the supply of homes in a given market. Stock on Market (SoM) is represented by bars which show the number of listings per month, and by a line which indicates the percentage of listed homes compared to the total number of dwellings in the area (SoM Percentage). A higher stock on market indicates a greater supply of properties.
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Inventory levels indicate the amount of stock available in relation to average monthly sales. Inventory levels above 3 months indicate a sizeable amount of stock available, while lower levels indicate diminishing supply. Decreasing inventory level trend can signal that prices may increase in the future.
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Building Approvals refers to the quantity of new residential builds authorised for construction, as derived from the ABS’s monthly dataset. The black line represents the cumulative dollar value of approvals for any given month. This information establishes a foundation for calculating the Building Approval (BA) Ratio, which demonstrates the proportion of newly approved residential buildings over the previous 12 months in comparison to the total dwellings within the area.
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Average number of years properties are re-sold in the area. The higher the value, the lower is the supply in the property market. Changing trend can act as a lead indicator to price increases / decreases.
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Demand
Days on Market
Vacancy Rate
Clearance Rate
Search Index
The Days on Market metric shows how long, on average, it takes for listed properties to be sold. A higher number of days means that there is less demand for properties. Measured in days.
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Monthly vacancies (bar) and Vacancy Rates (line) in the area. Vacancy rates serve as a rental market demand indicator. Lower vacancy rates point to greater demand in the rental market. Decreasing vacancy rates can act as a lead indicator to both rental and sale price increases.
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This graph illustrates the online search interest for properties available for sale and rent. The index allocates online searches in proportion to the total number of dwellings within the area and contrasts this value with that of the state or city average. A value of 5 indicates that the Buy/Rent search interest aligns with the state/city average. It is advisable to exercise caution in areas with a Search Index (SI) below 3.
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Auction clearance rates in the area. The higher the clearance rate, the greater is the demand in the market. This metric is most useful at LGA level. Some high density suburbs with active markets can also have good quality clearance rate data. However, this metric is somewhat sparse for 80% of suburbs.
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How was this calculated? Typical Price is a continuous metric calculated via a process called data fitting. Median Rent is weekly advertised rent based on rentals over the preceding 12 months. Gross Yield is Median Rent x 52 x 100 / Typical Price. To discover additional information, click the “i” icon in the top left corner of each graph or visit the Data Dictionary page.
Have a question? You can either leave a comment below or post it on our forum.
The total adult population (15 years or older) of Mia Mia 4754 QLD is 97, with a median age of 41. Of those, 49.48% are married, 14.43% are divorced or separated, 28.87% are single and 3.09% are widowed.
The average household size is 3.1 people per dwelling, and the median household monthly income is estimated to be $8,872. The median monthly mortgage repayment for households in this suburb is $2,167 which is 24.43% of their earnings.
Source: ABS Census Data (2021)