Heddon Greta vs Stanford Merthyr, NSW Suburb Comparison

Heddon Greta for retirees; Stanford Merthyr for families and investment.

See which suburb leads on livability, safety, schools, and lifestyle.

Head to head

Visual comparison

Heddon GretaStanford Merthyr

Overall score

Heddon Greta

37.5/100

Stanford Merthyr

36.1/100

Crime rate

Heddon Greta

46.3 / 1k

Stanford Merthyr

90.5 / 1k

Nearby amenities

Heddon Greta

33

Stanford Merthyr

18

Population

Heddon Greta

2,838

Stanford Merthyr

575

Metric leadHeddon Greta 7Stanford Merthyr 42 tiedacross 13 compared metrics

Livability profile

Desirability pillars scored 0–100 vs comparable suburbs

Audience fit

Who each suburb suits — composite scores out of 100

All metrics

Side-by-side scores for every compared metric.

Full comparison table

Exact figures for every metric — winner highlighted in bold.

CategoryHeddon GretaStanford Merthyr
Overall score37.5/10036.1/100
Housing (desirability)51.0/10070.5/100
Crime rate46.3 / 1k90.5 / 1k
Schools & preschools15
Weather (desirability)60.5/10060.5/100
Parks & reserves11
Public transport stops389
Walkability38.0/10015.5/100
Nearby amenities3318
Planning activity363
Green cover22.9%23.9%
Population2,838575
SEIFA (IRSAD decile)4/102/10

Comparison summary

Heddon Greta is a sought-after metro mid-sized suburb where housing reflects strong local demand, while Stanford Merthyr is a practical metro smaller community with approachable housing and suburban calm.

On the data, Heddon Greta is stronger for a quieter safety profile, public transport access, and walkability; Stanford Merthyr answers with housing affordability, schools and education options, and a calmer planning outlook. Heddon Greta generally means more sought-after housing, while Stanford Merthyr leans toward more approachable housing costs.

Choose Heddon Greta if you are weighing retirees and investors; lean toward Stanford Merthyr for households prioritising schools.

Generated from the official metrics on this page. It can omit nuance or contain errors — check the tables and source notes before relying on it.

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