Brighton Le Sands NSW Property Investment

Bayside (NSW) · 2216 · Score: 61/100 · Hold

Median House Price
$2.10M
Rental Yield
2.0%
Vacancy Rate
1.6%
Median Weekly Rent
$820/wk
Median Unit Price
$1.31M
Population
28,027
Days on Market
124 days
Annual Growth
15.3%

Brighton Le Sands Short-Term Rental (Airbnb) Market

Avg Nightly Rate
$547/night
Occupancy Rate
40%
Est. Annual Revenue
$80K

Estimated revenue assumes year-round availability. Non-hosted short-stays are night-capped in some councils (e.g. 60 nights across most of Byron Shire, 180 in Ballina, Muswellbrook and parts of Greater Sydney) and levied in Victoria — the legal cap can cut achievable income well below this figure. Run STR Check for the rules on a specific address.

AI Investment Analysis

Brighton Le Sands NSW Investment Brief

## 1. Investment Verdict Hold – the 2.0 % gross rental yield is the key figure; it signals modest cash‑flow returns that do not justify a buy‑or‑sell push at present.

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## 2. Market Overview - Median house price: $2,095,000 - Median unit price: $1,310,000

Growth trend - 1‑year price growth: +15.3 % – strong short‑term upside. - 5‑year CAGR: ‑1.3 % per year – long‑term price pressure. - 3‑year forecast: +2 % – analysts expect only modest appreciation ahead.

Days on market: not supplied in the data set, so we cannot comment on speed of sales.

Signal: Buyers benefit from the 15.3 % recent price lift but must weigh the low 2 % yield and the negative 5‑year trend. Sellers can command high prices now, yet the modest forecast suggests limited further upside.

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## 3. Rental Market - Median weekly rent: $820 / wk - Gross rental yield: 2.0 %

*Vacancy rate* and *demand rating* are not provided, so we cannot quantify them.

Implication: The 2 % yield is below the typical “good” threshold (≈3–4 %). Investors should expect limited cash‑flow and rely more on capital growth expectations.

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## 4. Short‑Term Rental (STR) Opportunity No STR‑specific data (nightly rate, occupancy, annual revenue) are supplied. Consequently we cannot calculate an STR gross yield or compare it to the long‑term rental (LTR) return. With only a 2 % LTR yield, an STR model could be attractive if local short‑term demand and regulatory conditions support higher nightly rates, but that assessment requires data beyond what is provided.

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## 5. Infrastructure & Growth Drivers The data set does not list any known projects, transport upgrades, or major employment hubs for Brighton Le Sands. Without those inputs we cannot identify concrete demand drivers or constraints.

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## 6. Bull Case Assume the 3‑year forecast of +2 % annual growth materialises and that the yield improves to 2.5 % through rent growth.

MetricCurrentBull‑case (3 yr)
Median house price$2,095,000$2,095,000 × (1.02)³ ≈ $2,226,000
Median unit price$1,310,000$1,310,000 × (1.02)³ ≈ $1,393,000
Weekly rent (if rent rises 2 %/yr)$820$820 × (1.02)³ ≈ $874 / wk
Gross yield (with new rent)2.0 %$874 × 52 ÷ $2,095,000 ≈ 2.2 % (house) / $874 × 52 ÷ $1,310,000 ≈ 3.5 % (unit)

If rent growth outpaces price growth, the unit market could push yields into the 3–4 % band, improving cash‑flow prospects.

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7. Risks

RiskQuantified aspect (from data)Comment
Yield pressure2.0 % gross yieldBelow the typical investor benchmark; limits cash‑flow.
Capital‑growth reversal5‑yr CAGR ‑1.3 %Past five‑year decline suggests price volatility.
Vacancy uncertaintyVacancy rate not suppliedLack of data makes it hard to gauge rental security.
Interest‑rate sensitivityNot quantifiedLow yield means any rise in borrowing costs erodes net return.
Supply pipelineNo data on new dwellingsIf a large number of units enter the market, yields could fall further.
Economic concentrationNo employer dataAbsence of a dominant employer reduces single‑employer risk, but also means demand may be more diffuse.

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8. The Play

  • Entry range: Target purchases near the median – $1.3 million for units or $2.1 million for houses. Look for discounts of 5–10 % to the median to improve yield.
  • Minimum yield target: ≥2.5 % gross (i.e., rent of ≈$880 / wk for a house, $1,050 / wk for a unit).
  • Watch signals:
  • - Rent growth outpacing price growth (yield improvement).
  • - Announcement of new transport or amenity projects.
  • - Changes in interest rates that affect borrowing costs.
  • - Any data on vacancy rates or STR performance that could shift the return profile.
  • Recommended strategy:
  • - Hold existing positions while monitoring rent‑to‑price dynamics.
  • - For new entrants, seek properties priced below the median with the potential to lift rents (e.g., renovated units).
  • - Consider a mixed‑strategy: if STR data later become available and indicate strong occupancy, test a limited STR pilot to capture higher yields; otherwise, stay with LTR for stability.

*All conclusions are drawn strictly from the supplied data; where data are missing, we have flagged the gap rather than infer figures.*

Gentrification Index

Early gentrification signals4.5/10
▼High SEIFA decile — already upgraded or established affluent area
—Moderate capital growth (6.7% CAGR)
▲Inner/middle ring location (11.3km to CBD) — high gentrification corridor
—Mixed tenure (42% renters) — transitional suburb profile
▲Active development pipeline (4611 approvals) — supply attracting new residents
▲Strong public transport infrastructure — supports walkable gentrification

Growth Forecast

low confidence
1yr Forecast
3.0%
p.a.
2yr Forecast
2.7%
p.a.
5yr Forecast
2.4%
p.a.

Basis: 3yr growth 6.7% (discounted)

Growth drivers
  • +Low rental vacancy (1.6%) — constrained supply
Headwinds
  • −Population decline (-0.0%/yr) — demand headwind
  • −Slow market (124 days avg) — buyer hesitancy
  • −High supply pipeline (4611 new approvals) — may cap price growth

Suburb Metric Thresholds

7 green3 yellow6 red
Rental Vacancy Rate
1.6 high impact
Days on Market
124 high impact
Weekly Rent (house)
820 medium impact
5yr Price CAGR
-1.26 high impact
10yr Price CAGR
3.22 high impact
1yr Price Growth
15.29 medium impact
Population Growth
-0.03 high impact
Median Household Income
1792 medium impact
Unemployment Rate
6.3 medium impact
Public Transport Score
7.8 medium impact
School Zone Quality
8.1 medium impact
Distance to CBD
11.35 medium impact
SEIFA Advantage/Disadvantage
7 medium impact
Owner Occupier Rate
54.7 medium impact
Gross Rental Yield (%)
2.04 high impact
Net Rental Yield (%)
0.54 high impact

Macro Environment

Macro Indicators

Cash Rate

4.35%

▲ 0.25%

Cash rate as at 2026-05-06 · Credit data 2026-07

Suburb Supply & Demand

Suburb Supply Pipeline — New Dwelling Approvals

472

2020

1,069

2021

739

2022

804

2023

1,527

2025

New dwelling approvals — higher numbers mean more future supply

Socio-Economic Profile

Source: ABS Census 2021

SEIFA Index · Postcode 2216

Most disadvantagedLeast disadvantaged

Decile 4 of 10 — Average

Population

28,027

Education (IEO)

8/10

Econ. Resources (IER)

2/10

10-Year Investment Projection

Modelled on Brighton Le Sands NSW data — rent, capital growth, tax, and depreciation over 10 years.

Pre-filled: $820/wk median rent for Brighton Le Sands. Capital growth and rent increase are editable assumptions.

Schools

In your catchment

Brighton-Le-Sands PS
PrimaryGovernment
7.3/10
Bayside HS
SecondaryGovernment
No data

These are the government-school zones containing this suburb centroid. Specific addresses within the suburb may fall in different catchments — confirm with the school directly.

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Data sourced from ABS, state government property sales, and Airbnb market analytics. For informational purposes only — not financial advice.