Long Gully vs North Bendigo, VIC Suburb Comparison

Long Gully for families and investment; North Bendigo for retirees and schools.

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

Head to head

Visual comparison

Long GullyNorth Bendigo

Overall score

Long Gully

41.8/100

North Bendigo

42.1/100

Crime rate

Long Gully

144.5 / 1k

North Bendigo

116.8 / 1k

Nearby amenities

Long Gully

130

North Bendigo

85

Population

Long Gully

3,420

North Bendigo

4,277

Metric leadLong Gully 5North Bendigo 71 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.

CategoryLong GullyNorth Bendigo
Overall score41.8/10042.1/100
Housing (desirability)66.8/10062.6/100
Crime rate144.5 / 1k116.8 / 1k
Schools & preschools67
Weather (desirability)53.4/10053.4/100
Parks & reserves72
Public transport stops1534
Walkability72.5/10047.0/100
Nearby amenities13085
Planning activity3256
Green cover5.4%11.6%
Population3,4204,277
SEIFA (IRSAD decile)1/102/10

Comparison summary

Put side by side, Long Gully is a hillside mid-sized suburb with greener streets and a quieter pace, and North Bendigo is a regional mid-sized suburb that feels self-contained without feeling remote. Long Gully sits among greener hillside streets, while North Bendigo keeps a flatter suburban layout.

On the data, Long Gully is stronger for parks and reserves, walkability, and nearby cafés and amenities; North Bendigo answers with housing affordability, a quieter safety profile, and schools and education options.

On balance, retirees, investors, and households prioritising schools are more likely to prefer North Bendigo, while Long Gully remains a solid alternative depending on what matters most day to day.

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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