Top Suburbs by New Zealander Population — NSW
NSW suburbs with the highest number of New Zealander ancestry residents, ranked by count from Census 2021.
Top Suburbs by New Zealander Population
NSW suburbs with the highest number of New Zealander 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.
- 124#1NewportNSW
- 89#2North NarrabeenNSW
- 60#3San RemoNSW
- 44#4Curl CurlNSW
- 37#5CumbalumNSW
- 30#6Booker BayNSW
- 28#7CharmhavenNSW
- 19#8BrooklynNSW
- 19#9Safety BeachNSW
- 17#10BulahdelahNSW
- 17#11MulwalaNSW
- 16#12FountaindaleNSW
- 15#13EllalongNSW
- 15#14Wattle PondsNSW
- 14#15Wee WaaNSW
- 14#16WoodvilleNSW
- 13#17Kings PointNSW
- 12#18CorndaleNSW
- 12#19PatersonNSW
- 11#20Bawley PointNSW
- 11#21FredericktonNSW
- 11#22LarnookNSW
- 11#23Scotts HeadNSW
- 10#24Bray ParkNSW
- 10#25CurrarongNSW
- 10#26Lord Howe IslandNSW
- 10#27Morts EstateNSW
- 10#28NiangalaNSW
- 10#29TyalgumNSW
- 9#30AwabaNSW
- 9#31Doyalson NorthNSW
- 9#32Elizabeth BeachNSW
- 9#33Fitzroy FallsNSW
- 9#34JeirNSW
- 9#35Mooney Mooney CreekNSW
- 9#36North LismoreNSW
- 9#37NunderiNSW
- 9#38Upper BurringbarNSW
- 8#39Carrs CreekNSW
- 8#40Frazers CreekNSW
- 8#41GummaNSW
- 8#42KeinbahNSW
- 8#43MantonNSW
- 8#44MillingandiNSW
- 8#45RaleighNSW
- 8#46RushforthNSW
- 8#47Worrowing HeightsNSW
- 7#48Forest ReefsNSW
- 7#49GlanmireNSW
- 7#50Pillar ValleyNSW
- 6#51AshbyNSW
- 6#52BedgerabongNSW
- 6#53Belmore RiverNSW
- 6#54BialaNSW
- 6#55Burren JunctionNSW
- 6#56ClergateNSW
- 6#57CooperabungNSW
- 6#58GuyongNSW
- 6#59Kangy AngyNSW
- 6#60KrawarreeNSW
- 6#61LueNSW
- 6#62Majors CreekNSW
- 6#63MandalongNSW
- 6#64MedwayNSW
- 6#65Middle ArmNSW
- 6#66MoorbelNSW
- 6#67Mount WhiteNSW
- 6#68MungindiNSW
- 6#69NevilleNSW
- 6#70Rock ForestNSW
- 6#71RoseberryNSW
- 6#72WakefieldNSW
- 5#73AlectownNSW
- 5#74AllgomeraNSW
- 5#75Blue KnobNSW
- 5#76BomboNSW
- 5#77BribbareeNSW
- 5#78Burrell CreekNSW
- 5#79CougalNSW
- 5#80CroomNSW
- 5#81DeauvilleNSW
- 5#82EvironNSW
- 5#83GollanNSW
- 5#84Hardys BayNSW
- 5#85LadysmithNSW
- 5#86LeconfieldNSW
- 5#87LyndhurstNSW
- 5#88Maison DieuNSW
- 5#89MarleeNSW
- 5#90MororoNSW
- 5#91Mount BurrellNSW
- 5#92Mount FairyNSW
- 5#93MurringoNSW
- 5#94NaradhanNSW
- 5#95NumulgiNSW
- 5#96OallenNSW
- 5#97Spring GroveNSW
- 5#98Summer Hill CreekNSW
- 5#99TanjaNSW
- 5#100TantawangaloNSW
| # ▲ | SUBURB | STATE | COUNT | % OF POP | POP |
|---|---|---|---|---|---|
| 1 | Newport | NSW | 124 | 9,659 | 1.3% |
| 2 | North Narrabeen | NSW | 89 | 6,016 | 1.5% |
| 3 | San Remo | NSW | 60 | 4,434 | 1.4% |
| 4 | Curl Curl | NSW | 44 | 2,364 | 1.9% |
| 5 | Cumbalum | NSW | 37 | 2,211 | 1.7% |
| 6 | Booker Bay | NSW | 30 | 1,442 | 2.1% |
| 7 | Charmhaven | NSW | 28 | 2,501 | 1.1% |
| 8 | Brooklyn | NSW | 19 | 737 | 2.6% |
| 9 | Safety Beach | NSW | 19 | 1,103 | 1.7% |
| 10 | Bulahdelah | NSW | 17 | 1,538 | 1.1% |
| 11 | Mulwala | NSW | 17 | 2,557 | 0.7% |
| 12 | Fountaindale | NSW | 16 | 726 | 2.2% |
| 13 | Ellalong | NSW | 15 | 1,351 | 1.1% |
| 14 | Wattle Ponds | NSW | 15 | 1,193 | 1.3% |
| 15 | Wee Waa | NSW | 14 | 2,034 | 0.7% |
| 16 | Woodville | NSW | 14 | 440 | 3.2% |
| 17 | Kings Point | NSW | 13 | 609 | 2.1% |
| 18 | Corndale | NSW | 12 | 358 | 3.4% |
| 19 | Paterson | NSW | 12 | 960 | 1.3% |
| 20 | Bawley Point | NSW | 11 | 844 | 1.3% |
| 21 | Frederickton | NSW | 11 | 1,452 | 0.8% |
| 22 | Larnook | NSW | 11 | 394 | 2.8% |
| 23 | Scotts Head | NSW | 11 | 986 | 1.1% |
| 24 | Bray Park | NSW | 10 | 822 | 1.2% |
| 25 | Currarong | NSW | 10 | 479 | 2.1% |
| 26 | Lord Howe Island | NSW | 10 | 445 | 2.2% |
| 27 | Morts Estate | NSW | 10 | 545 | 1.8% |
| 28 | Niangala | NSW | 10 | 149 | 6.7% |
| 29 | Tyalgum | NSW | 10 | 521 | 1.9% |
| 30 | Awaba | NSW | 9 | 430 | 2.1% |
| 31 | Doyalson North | NSW | 9 | 383 | 2.3% |
| 32 | Elizabeth Beach | NSW | 9 | 259 | 3.5% |
| 33 | Fitzroy Falls | NSW | 9 | 220 | 4.1% |
| 34 | Jeir | NSW | 9 | 271 | 3.3% |
| 35 | Mooney Mooney Creek | NSW | 9 | 27 | 33.3% |
| 36 | North Lismore | NSW | 9 | 754 | 1.2% |
| 37 | Nunderi | NSW | 9 | 696 | 1.3% |
| 38 | Upper Burringbar | NSW | 9 | 289 | 3.1% |
| 39 | Carrs Creek | NSW | 8 | 186 | 4.3% |
| 40 | Frazers Creek | NSW | 8 | 215 | 3.7% |
| 41 | Gumma | NSW | 8 | 486 | 1.6% |
| 42 | Keinbah | NSW | 8 | 109 | 7.3% |
| 43 | Manton | NSW | 8 | 350 | 2.3% |
| 44 | Millingandi | NSW | 8 | 519 | 1.5% |
| 45 | Raleigh | NSW | 8 | 681 | 1.2% |
| 46 | Rushforth | NSW | 8 | 285 | 2.8% |
| 47 | Worrowing Heights | NSW | 8 | 713 | 1.1% |
| 48 | Forest Reefs | NSW | 7 | 537 | 1.3% |
| 49 | Glanmire | NSW | 7 | 186 | 3.8% |
| 50 | Pillar Valley | NSW | 7 | 352 | 2.0% |
| 51 | Ashby | NSW | 6 | 316 | 1.9% |
| 52 | Bedgerabong | NSW | 6 | 127 | 4.7% |
| 53 | Belmore River | NSW | 6 | 268 | 2.2% |
| 54 | Biala | NSW | 6 | 84 | 7.1% |
| 55 | Burren Junction | NSW | 6 | 225 | 2.7% |
| 56 | Clergate | NSW | 6 | 206 | 2.9% |
| 57 | Cooperabung | NSW | 6 | 293 | 2.0% |
| 58 | Guyong | NSW | 6 | 118 | 5.1% |
| 59 | Kangy Angy | NSW | 6 | 331 | 1.8% |
| 60 | Krawarree | NSW | 6 | 82 | 7.3% |
| 61 | Lue | NSW | 6 | 216 | 2.8% |
| 62 | Majors Creek | NSW | 6 | 290 | 2.1% |
| 63 | Mandalong | NSW | 6 | 433 | 1.4% |
| 64 | Medway | NSW | 6 | 143 | 4.2% |
| 65 | Middle Arm | NSW | 6 | 377 | 1.6% |
| 66 | Moorbel | NSW | 6 | 251 | 2.4% |
| 67 | Mount White | NSW | 6 | 171 | 3.5% |
| 68 | Mungindi | NSW | 6 | 487 | 1.2% |
| 69 | Neville | NSW | 6 | 229 | 2.6% |
| 70 | Rock Forest | NSW | 6 | 149 | 4.0% |
| 71 | Roseberry | NSW | 6 | 25 | 24.0% |
| 72 | Wakefield | NSW | 6 | 144 | 4.2% |
| 73 | Alectown | NSW | 5 | 151 | 3.3% |
| 74 | Allgomera | NSW | 5 | 139 | 3.6% |
| 75 | Blue Knob | NSW | 5 | 210 | 2.4% |
| 76 | Bombo | NSW | 5 | 175 | 2.9% |
| 77 | Bribbaree | NSW | 5 | 144 | 3.5% |
| 78 | Burrell Creek | NSW | 5 | 233 | 2.1% |
| 79 | Cougal | NSW | 5 | 30 | 16.7% |
| 80 | Croom | NSW | 5 | 112 | 4.5% |
| 81 | Deauville | NSW | 5 | 29 | 17.2% |
| 82 | Eviron | NSW | 5 | 229 | 2.2% |
| 83 | Gollan | NSW | 5 | 109 | 4.6% |
| 84 | Hardys Bay | NSW | 5 | 233 | 2.1% |
| 85 | Ladysmith | NSW | 5 | 339 | 1.5% |
| 86 | Leconfield | NSW | 5 | 145 | 3.4% |
| 87 | Lyndhurst | NSW | 5 | 41 | 12.2% |
| 88 | Maison Dieu | NSW | 5 | 175 | 2.9% |
| 89 | Marlee | NSW | 5 | 199 | 2.5% |
| 90 | Mororo | NSW | 5 | 115 | 4.3% |
| 91 | Mount Burrell | NSW | 5 | 276 | 1.8% |
| 92 | Mount Fairy | NSW | 5 | 244 | 2.0% |
| 93 | Murringo | NSW | 5 | 390 | 1.3% |
| 94 | Naradhan | NSW | 5 | 63 | 7.9% |
| 95 | Numulgi | NSW | 5 | 207 | 2.4% |
| 96 | Oallen | NSW | 5 | 145 | 3.4% |
| 97 | Spring Grove | NSW | 5 | 532 | 0.9% |
| 98 | Summer Hill Creek | NSW | 5 | 234 | 2.1% |
| 99 | Tanja | NSW | 5 | 174 | 2.9% |
| 100 | Tantawangalo | NSW | 5 | 162 | 3.1% |
Top Suburbs by New Zealander Population FAQ
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What does this New Zealander ranking show?
This ranking shows NSW suburbs with the highest New Zealander 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.