Overall score
Chidlow
45.7/100
Mount Helena
42.1/100
Chidlow for retirees and families; Mount Helena for investment and schools.
See which suburb leads on livability, safety, schools, and lifestyle.
Head to head
Overall score
Chidlow
45.7/100
Mount Helena
42.1/100
Crime rate
Chidlow
43.1 / 1k
Mount Helena
43.1 / 1k
Nearby amenities
Chidlow
31
Mount Helena
0
Population
Chidlow
1,821
Mount Helena
3,373
Desirability pillars scored 0–100 vs comparable suburbs
Clearer edge on lifestyle fit (score gap ≥ 3)
Who each suburb suits — composite scores out of 100
Side-by-side scores for every compared metric.
Exact figures for every metric — winner highlighted in bold.
| Category | Chidlow | Mount Helena |
|---|---|---|
| Overall score | 45.7/100 | 42.1/100 |
| Housing (desirability) | 54.5/100 | 55.5/100 |
| Crime rate | 43.1 / 1k | 43.1 / 1k |
| Schools & preschools | 1 | 2 |
| Weather (desirability) | 23.4/100 | 23.4/100 |
| Parks & reserves | — | 1 |
| Public transport stops | 27 | 48 |
| Walkability | 34.0/100 | 30.0/100 |
| Nearby amenities | 31 | 0 |
| Green cover | 60.6% | 45.6% |
| Population | 1,821 | 3,373 |
| SEIFA (IRSAD decile) | 6/10 | 7/10 |
Put side by side, Chidlow is a leafier hillside smaller community with elevated outlooks, and Mount Helena is a hillside mid-sized suburb with greener streets and a quieter pace. Chidlow sits within day-trip reach of the capital, whereas Mount Helena is further out with more breathing room.
Chidlow tends to lead on walkability, plus nearby cafés and amenities, while Mount Helena stands out for housing affordability, schools and education options, and public transport access. Chidlow generally means more mid-market housing value, while Mount Helena leans toward housing toward the upper end of the market.
On balance, families, investors, value-focused buyers, and households prioritising schools are more likely to prefer Mount Helena, while Chidlow 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.