Murrumbidgee, NSW
Good to know:
Murrumbidgee Council is located in the Riverina region of New South Wales. Established in 2016, it amalgamated the previous Jerilderie and Murrumbidgee shires. The council covers an area of approximately 6,880 square kilometres. It is predominantly rural, featuring rich agricultural land ideal for farming and grazing. Key towns in the area include Jerilderie and Coleambally. The Murrumbidgee River, which the council is named after, is a significant water feature, supporting irrigation and tourism. The region is known for its community events, historical sites, and natural beauty, offering a tranquil lifestyle.
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Murrumbidgee NSW presents a property market with a typical house price around $334,764, median rent at $312 per week, and an above-standard yield of 4.85%. This yield exceeds the commonly recommended minimum of 3%, indicating a reasonable rental return opportunity. The area’s IRSAD score of 967 reflects a socio-economic advantage that supports stable property values, while the renter-to-owner ratio at 22.0% is moderate, suggesting balanced tenure dynamics. Overall, these factors frame the Murrumbidgee property investment environment as affordable with potential for reasonable income returns.
Property market outlook
The supply side in Murrumbidgee is characterised by neutral to slightly positive indicators. Stock on Market rests at 0.43%, just on the border of balanced supply, and inventory is 2.25 months, pointing to neither excessive nor constrained availability. The building approvals ratio is low at 0.12%, reflecting restrained future construction and potential support for price stability. A holding period of 9.18 years, within the neutral range, indicates neither rapid turnover nor overly tight ownership. On the demand side, days on market (DOM) of 91 days and a clearance rate at an unimpressive 50% suggest subdued buyer activity. Vacancy rate at 1.4% is moderate, indicating reasonable rental demand without significant oversupply.
Pros
- Rental yield of 4.85% is attractive relative to benchmarks and supports income-focused investors.
- High IRSAD score above 950 indicates economic resilience and capacity for capital growth.
- Low unit-to-house ratio (3.0%) signals limited unit stock, often contributing to reduced supply pressure.
- Affordability indexed at 19 years is well within manageable limits, facilitating homeowner entry and turnover.
- Limited building approvals suggest supply constraints that could underpin future price growth.
Cons
- Days on market exceeding 90 days and clearance rates at 50% highlight cautious buyer sentiment and slower sales.
- Neutral vacancy rate of 1.4% may imply some rental market competition, requiring assessment of specific rental segments.
- Stock on market and inventory levels, being neutral, offer neither suburban undersupply to drive rapid price increases nor oversupply to facilitate ease of entry.
- Moderate renter-owner ratio (22%) can suggest mixed stability in household composition, potentially impacting rental demand sustainability.
Investment strategies
Investors targeting Murrumbidgee NSW should consider income stability via the healthy rental yields while maintaining a medium- to long-term hold to capitalise on supply constraints supported by low building approvals. Given the relatively slow sales market, patient strategies focusing on rental cash flow with a moderate buy-and-hold approach may be appropriate. Prospective investors should carefully monitor sales activity indicators for signs of improving demand before committing to short-term speculative purchases. Diversification into houses is preferable given the limited unit stock, enhancing resilience against oversupply risks.
Is Murrumbidgee NSW a good LGA to invest in?
Murrumbidgee NSW combines affordability, reasonable rental returns, and socio-economic stability, making it an option for investors seeking moderate income performance and long-term capital growth potential. The balanced supply-demand dynamics warrant cautious optimism but require careful timing and due diligence. Buyers should be aware that sales volumes and buyer competition are subdued, positioning this LGA more favourably for those prioritising yield and affordability over rapid capital appreciation or quick resale.
About HtAG Analytics Data
HtAG Analytics data includes core property market metrics such as Typical Price, Median Rent, Gross Rental Yield, Inventory, Building Approvals, Days on Market, Vacancy Rates, and socio-economic indicators like IRSAD and renter-owner ratios. These metrics generally span ranges from clearly favourable to unfavourable, enabling nuanced assessments of property markets at the LGA and suburb level. Unlike some data providers that primarily focus on public aggregate data intended for broad trend analysis, HtAG metrics are meticulously curated for precise relative market comparison near the point of purchase, incorporating both current conditions and historical trends.
It should be noted that this analysis provides a snapshot of current value metrics without incorporating metric trends or weighting, which can significantly influence investment outcomes. Specific metric importance varies based on investor profiles and strategies. Therefore, bespoke market shortlisting aligned to individual investment objectives, borrowing capacity, and risk tolerance is essential. HtAG Analytics excels in identifying such tailored opportunities through advanced relative analysis rather than generic one-size-fits-all conclusions. Professional advice and comprehensive due diligence remain vital for optimised property investment decision-making.
Updated: 1 May 2026
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Market Trends
Essential metrics effectively streamline the process of identifying markets that match your financial situation and investment objectives. Typical Price, Indicative Yield and Total ROI provide a swift means to shortlist areas that resonate with what you’re seeking and can afford. These metrics also serve as valuable general trend indicators, allowing you to visualise transaction volumes and dynamics of change.
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The Growth Rate Cycle (GRC) is a metric used to analyse the year-on-year change in property values, providing insights into the growth cycle of a particular area. It uses the “typical price” metric to gauge property values more accurately than median prices, and includes both actual and projected data for the current year.
Fundamental metrics play a vital role in providing a comprehensive analysis of the socio-economic environment within a specific suburb or region. Additionally, the Return on Investment (ROI) and Volatility Index are crucial metrics that aid in evaluating the prospective profitability and the level of risk or stability in the market.
Socio-economics
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IRSAD
Renter to Owner
Units to Houses
Projections
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Projected Annual ROI
Volatility Index
Quick Area Stats
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Annual Sales Volume
Annual Rentals Volume
Stock on Market
Building Approvals
Inventory
Hold Period
Supply metrics are crucial in gauging both the existing volumes of real estate listed for sale and the properties anticipated to enter the market soon. A diminished supply could signal opportunities for price appreciation, particularly when there’s corresponding buyer demand to buoy the market. The Stock on Market and Inventory level metrics (current values) are presented as a 3-month rolling average of monthly data shown in the charts. This means the last 3 months of data are averaged. The BA Ratio represents the proportion of building approvals over the latest 12 months relative to the total dwellings in the area.
Days on Market
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Vacancy Rate
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Demand metrics underscore the level of interest that potential property buyers or tenants have in a specific suburb or locality. When demand outstrips the available supply, or if the supply fails to meet the intensity of buyer/renter interest, there’s a potential for prices to climb, underscoring the pivotal relationship between demand dynamics and property value trends. The Days on Market and Clearance Rate metrics (current values) are presented as a 3-month rolling average of monthly data shown in the charts. This means the last 3 months of data are averaged.
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