2610 Renshaw Mcgirr Way, Walmer, NSW 2820 | Property Value & History | OnTheHouse
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2610 Renshaw Mcgirr Way
Walmer NSW 2820

Bedrooms: -
Bathrooms: -
Car spaces: -
Land area: 7374m2
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Estimated Value & Rent
Estimated Value
Estimated Rent
Low Confidence
Last updated 11 Aug 2025
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Property Details for 2610 Renshaw Mcgirr Way, Walmer

Building Type
Unknown
Land Size
7374m2
Local Government
Dubbo Regional
Lot/Plan
7001/DP1020643

Property History for 2610 Renshaw Mcgirr Way, Walmer, NSW 2820

A timeline of how this property has performed in the market
    No history found for this property.

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About Walmer 2820

The size of Walmer is approximately 120.0 square kilometres. The population of Walmer in 2016 was 38 people. By 2021 the population was 52 showing a population growth of 36.8% in the area during that time. The predominant age group in Walmer is 30-39 years. Households in Walmer are primarily childless couples and are likely to be repaying under $300 per month on mortgage repayments. In general, people in Walmer work in a managers occupation.In 2021, 70.60% of the homes in Walmer were owner-occupied compared with 60.00% in 2016..

Walmer has 52 properties. As at 31 July 2025:

  • The median value for Houses in Walmer is $419,046.
There are currently no properties listed for sale, and no properties listed for rent in Walmer on OnTheHouse. According to Cotality's data, no properties were sold in the past 12 months in Walmer.

Walmer Profile Page

What's around 2610 Renshaw Mcgirr Way, Walmer

2610 Renshaw Mcgirr Way, Walmer is in the school catchment zone for Yeoval Central School.

Nearby Schools
Comparable Properties
Yeoval Central School
12.87km
Yeoval 2868
IN CATCHMENTCombinedGovernmentP - 12Combined120 Enrolled
Wellington Christian School
22.66km
Wellington 2820
PrimaryNon-GovernmentP - 6Combined39 Enrolled
Wellington Public School
22.81km
Wellington 2820
PrimaryGovernmentP - 6Combined484 Enrolled
St Mary's Catholic School
23.08km
Wellington 2820
CombinedNon-GovernmentP - 10Combined140 Enrolled
Wellington High School
23.66km
Wellington 2820
SecondaryGovernment7 - 12Combined292 Enrolled
Wambangalang Environmental Education Centre
25.13km
Toongi 2830
SpecialGovernmentCombined Enrolled
Cumnock Public School
29.87km
Cumnock 2867
PrimaryGovernmentP - 6Combined54 Enrolled
Geurie Public School
30.44km
Address not found
PrimaryGovernmentP - 6Combined41 Enrolled
Mumbil Public School
30.61km
Mumbil 2820
PrimaryGovernmentP - 6Combined15 Enrolled
Stuart Town Public School
35.03km
Stuart Town 2820
PrimaryGovernmentP - 6Combined10 Enrolled

Suburb Insights for Walmer 2820

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Market Insights
Walmer Trends for Houses
Median Value

$419k

0.23%
View Trend
Median Growth

N/A

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Median Rent

N/A

-
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Rental Yield

4.92%

4.02%
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.
Median Value over 1 year (08/24 - 07/25)
Walmer Trends for Units
Median Value

N/A

-
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Median Growth

N/A

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Median Rent

N/A

-
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Rental Yield

N/A

-
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Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.
Median Value over 1 year
Neighbourhood Insights
Age

Population 52

0-9

 

6%

10-19

 

14%

30-39

 

17%

40-49

 

6%

50-59

 

17%

70-79

 

15%

Household Structure
Occupancy
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Cotality Copyright and Legal Disclaimers about Property Data

© Copyright 2025. RP Data Pty Ltd trading as Cotality (Cotality). All rights reserved. No reproduction, distribution, or transmission of the copyrighted materials is permitted. The information is deemed reliable but not guaranteed.

Disclaimer
The Cotality Data provided in this publication is of a general nature and should not be construed as specific advice or relied upon in lieu of appropriate professional advice.

While Cotality uses commercially reasonable efforts to ensure the Cotality Data is current, Cotality does not warrant the accuracy, currency or completeness of the Cotality Data and to the full extent permitted by law excludes all loss or damage howsoever arising (including through negligence) in connection with the Cotality Data.

New South Wales data
Contains property sales information provided under licence from the Valuer General New South Wales. RP Data Pty Ltd trading as Cotality is authorised as a Property Sales Information provider by the Valuer General New South Wales.
Valuations and Estimates
An automated valuation model estimate (AVM Estimate) is a statistically derived estimate of the sale or rental value (as the context requires) of the subject property. An AVM Estimate must not be relied upon as a professional valuation or an accurate representation of the market sale or rental value of the subject property. For further information about the AVM Estimate, please refer to the end of this document.
School data and Content
Product Data licenced by Cotality under a Creative Commons Attribution licence. For details regarding licence, data source, copyright and disclaimers, see https://www.cotality.com/au/legal/third-party-restrictions
ABS data

This publication contains data and statistics provided by the Australian Bureau of Statistics (ABS Data). ©2025 Copyright in this information belongs to the Australian Bureau of Statistics (ABS). The ABS provides no warranty that the ABS Data is free from error, complete or suitable for any particular purpose.

Liveability information
The Liveability Score is a rating (out of 10) provided by Propella.ai Pty Ltd as a guide about how "well-connected" properties are in certain local areas. The Liveability Score is based on statistical data about a local area in which a property is located including the distance to and number of available facilities and services (including schools, parklands, health services, shopping and public transport) (Liveability Data). The Liveability Data and Liveability Score has not been verified or confirmed by Cotality, is not available for all properties, and is of a general nature and should not be construed as specific advice or relied upon in lieu of appropriate professional advice. Given the relative nature of the Liveability Score, propella.ai anticipate that scores for individual properties will change over time.

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