16 William Street, Double Bay, NSW 2028 | Property Value & History | OnTheHouse
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16 William Street
Double Bay NSW 2028

Bedrooms: 4
Bathrooms: 4
Car spaces: 2
Land area: 1376m2
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Property Details for 16 William St, Double Bay

16 William St, Double Bay is a 4 bedroom, 4 bathroom House with 2 parking spaces. The property has a land size of 1376m2.

Building Type
House
Land Size
1376m2
Local Government
Woollahra
Lot/Plan
CP/SP104029

Property History for 16 William St, Double Bay, NSW 2028

A timeline of how this property has performed in the market
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About Double Bay 2028

The size of Double Bay is approximately 0.8 square kilometres. It has 6 parks covering nearly 10% of total area. The population of Double Bay in 2011 was 4,686 people. By 2016 the population was 4,647 showing a population decline of 0.8% in the area during that time. The predominant age group in Double Bay is 30-39 years. Households in Double Bay are primarily childless couples and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in Double Bay work in a professional occupation. In 2011, 55.2% of the homes in Double Bay were owner-occupied compared with 54.9% in 2016.

Double Bay has 3,699 properties. Over the last 5 years, Houses in Double Bay have seen a 55.15% increase in median value, while Units have seen a 23.04% increase. As at 30 April 2025:

  • The median value for Houses in Double Bay is $6,911,799 while the median value for Units is $1,731,029.
  • Houses have a median rent of $1,100 while Units have a median rent of $1,000.
There are currently 15 properties listed for sale, and 13 properties listed for rent in Double bay on OnTheHouse. According to CoreLogic's data, 152 properties were sold in the past 12 months in Double bay.

What's around 16 William St, Double Bay

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Suburb Insights for Double Bay 2028

Market Insights
Double Bay Trends for Houses
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Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


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Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


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Neighbourhood Insights
Age

Population 4,647

0-9

 

8%

10-19

 

7%

20-29

 

17%

30-39

 

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40-49

 

12%

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9%

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2%

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