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NSW / Lake Macquarie / Bonnells Bay

Development Application · PAN-295702

proposed first floor addition and alterations and additions including garage …

87 GRAND PARADE BONNELLS BAY 2264

Under AssessmentBalconies, decks, patios, terraces or verandahs,Demolition,Alterations and additions to residential development

Proposal

proposed first floor addition and alterations and additions including garage and carport and decks and remove/demolish exiting garage

Estimated development cost
$240,000
Cost range (source)
Cost of Development $150,000 - under $3 Million
Proposed dwellings
0
Dwellings to be constructed
0
Dwellings to be demolished
0
Storeys
2
Building height
Not available
Parking spaces
0
Gross floor area
0 m²
Applicant / developer
Not available
Planning authority
Lake Macquarie City Council
Council
Lake Macquarie City Council
Determination result
Not available
Lodged
20 Jan 2023
Submitted
28 Dec 2022
Determined
Not available
Exhibition start
Not available
Exhibition end
Not available

Fields labelled from the official source are shown as published. Where a field is missing in the source feed, BuildRadar displays "Not available". Aggregates and nearby-project distance are BuildRadar-derived.

Historical timeline

Changes detected from official source snapshots.

  1. New Development Application lodged

    proposed first floor addition and alterations and additions including garage and carport and decks and remove/demolish exiting garage

    Not availableUnder Assessment

Nearby projects

BuildRadar-derived proximity using source coordinates.

Development Application

Secondary Dwelling

Under Assessment
Address
14 PAMELA AVENUE DORA CREEK 2264
Type
Secondary dwelling
Lodged
15 Feb 2023
Est. cost
$241,106
Application
PAN-304319

Source data

Official government source information. BuildRadar does not own this data.

Agency
NSW Department of Planning, Housing and Infrastructure
Dataset
nsw-da-tracking
Licence
Creative Commons Attribution 4.0
Source updated
24/01/2023
Fetched by BuildRadar
26/08/2026, 5:32:12 am
Official source
View dataset