Top Suburbs by Serbian Population — NSW
NSW suburbs with the highest number of Serbian ancestry residents, ranked by count from Census 2021.
Top Suburbs by Serbian Population
NSW suburbs with the highest number of Serbian ancestry residents, ranked by count from Census 2021. — NSW
This list works best when you want to understand where a particular ancestry group has the largest visible footprint in NSW.
High counts usually reflect scale and concentration. They do not automatically mean better affordability, schools, safety, or investment quality.
Use the ranking to find candidate suburbs, then confirm price levels, incomes, schools, transport, and other local tradeoffs on the suburb pages.
This ranking is backed by demographic counts. It is good for finding clusters, not for deciding suburb quality alone.
Use top rows as research leads, then test affordability, services, and evidence depth before shortlisting.
Rankings are strongest when they hand you a shortlist quickly. Compare the top two first, then open suburb detail if the head-to-head result still feels narrow.
- 2,135#1LiverpoolNSW
- 527#2Mount PritchardNSW
- 485#3Bonnyrigg HeightsNSW
- 403#4Green ValleyNSW
- 347#5FairfieldNSW
- 329#6CabramattaNSW
- 274#7Middleton GrangeNSW
- 267#8BonnyriggNSW
- 258#9Warwick FarmNSW
- 236#10Cecil HillsNSW
- 193#11St Johns ParkNSW
- 175#12Fairfield HeightsNSW
- 169#13Cabramatta WestNSW
- 159#14Elizabeth HillsNSW
- 159#15West WollongongNSW
- 145#16Canley HeightsNSW
- 134#17WakeleyNSW
- 123#18Canley ValeNSW
- 97#19ConistonNSW
- 44#20Lightning RidgeNSW
- 28#21InglesideNSW
- 21#22MenangleNSW
- 7#23DuramanaNSW
- 7#24GunningrahNSW
- 7#25Rose ValleyNSW
- 7#26Smiths CreekNSW
- 5#27KrawarreeNSW
- 5#28WindermereNSW
- 4#29IsabellaNSW
- 4#30Little PlainNSW
- 3#31HamptonNSW
| # ▲ | SUBURB | STATE | COUNT | % OF POP | POP |
|---|---|---|---|---|---|
| 1 | Liverpool | NSW | 2,135 | 31,078 | 6.9% |
| 2 | Mount Pritchard | NSW | 527 | 10,426 | 5.1% |
| 3 | Bonnyrigg Heights | NSW | 485 | 7,369 | 6.6% |
| 4 | Green Valley | NSW | 403 | 12,919 | 3.1% |
| 5 | Fairfield | NSW | 347 | 18,596 | 1.9% |
| 6 | Cabramatta | NSW | 329 | 21,142 | 1.6% |
| 7 | Middleton Grange | NSW | 274 | 7,043 | 3.9% |
| 8 | Bonnyrigg | NSW | 267 | 9,785 | 2.7% |
| 9 | Warwick Farm | NSW | 258 | 6,135 | 4.2% |
| 10 | Cecil Hills | NSW | 236 | 6,906 | 3.4% |
| 11 | St Johns Park | NSW | 193 | 6,302 | 3.1% |
| 12 | Fairfield Heights | NSW | 175 | 8,269 | 2.1% |
| 13 | Cabramatta West | NSW | 169 | 7,822 | 2.2% |
| 14 | Elizabeth Hills | NSW | 159 | 3,208 | 5.0% |
| 15 | West Wollongong | NSW | 159 | 5,223 | 3.0% |
| 16 | Canley Heights | NSW | 145 | 12,320 | 1.2% |
| 17 | Wakeley | NSW | 134 | 4,893 | 2.7% |
| 18 | Canley Vale | NSW | 123 | 10,300 | 1.2% |
| 19 | Coniston | NSW | 97 | 2,267 | 4.3% |
| 20 | Lightning Ridge | NSW | 44 | 1,946 | 2.3% |
| 21 | Ingleside | NSW | 28 | 1,030 | 2.7% |
| 22 | Menangle | NSW | 21 | 1,252 | 1.7% |
| 23 | Duramana | NSW | 7 | 248 | 2.8% |
| 24 | Gunningrah | NSW | 7 | 26 | 26.9% |
| 25 | Rose Valley | NSW | 7 | 87 | 8.0% |
| 26 | Smiths Creek | NSW | 7 | 345 | 2.0% |
| 27 | Krawarree | NSW | 5 | 82 | 6.1% |
| 28 | Windermere | NSW | 5 | 64 | 7.8% |
| 29 | Isabella | NSW | 4 | 58 | 6.9% |
| 30 | Little Plain | NSW | 4 | 159 | 2.5% |
| 31 | Hampton | NSW | 3 | 118 | 2.5% |
Top Suburbs by Serbian Population FAQ
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What does this Serbian ranking show?
This ranking shows NSW suburbs with the highest Serbian resident counts, based on Census 2021 demographic data.
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Should I choose a suburb just because it ranks highly here?
No. Demographic rankings explain local context, not investment quality by themselves. Use them with price, rent, income, schools, transport, and detail-page evidence before shortlisting.
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Why does QuickProperty show count and percentage of population?
The count shows the size of the local group, while the percentage helps avoid overreading large suburbs that rank highly only because they have more residents overall.
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What is the next step after this demographic ranking?
Open the suburb detail pages for the strongest candidates, save realistic matches to your shortlist, and compare them against affordability and local evidence before making a decision.