Top Suburbs by Utilities Workers — NSW
NSW suburbs with the highest number of Utilities utilities workers, ranked by count from Census 2021.
Top Suburbs by Utilities Workers
NSW suburbs with the highest number of Utilities utilities workers, ranked by count from Census 2021. — NSW
This helps when you want a fast read on where one industry is concentrated in NSW.
Employment counts say something about local economic shape, but they do not tell you on their own whether prices, rents, or amenities make the area attractive.
Use the ranking to narrow the field, then verify affordability, demand, schools, and transport before treating the area as a serious candidate.
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.
- 693#1Port MacquarieNSW
- 225#2MuswellbrookNSW
- 185#3CoomaNSW
- 55#4PortlandNSW
- 39#5KhancobanNSW
- 18#6LittletonNSW
- 17#7BinjuraNSW
- 12#8Muscle CreekNSW
- 10#9Fishermans ParadiseNSW
- 10#10Oakey ParkNSW
- 9#11IlfordNSW
- 9#12McKellars ParkNSW
- 9#13WooloweyahNSW
- 8#14BredboNSW
- 8#15CobakiNSW
- 8#16RedbournberryNSW
- 8#17TuckurimbaNSW
- 7#18AdaminabyNSW
- 7#19BunyanNSW
- 7#20CooperabungNSW
- 7#21Meadow FlatNSW
- 7#22MenindeeNSW
- 7#23Mount LambieNSW
- 7#24MumbilNSW
- 7#25RavenswoodNSW
- 6#26AvonsideNSW
- 6#27Ben BullenNSW
- 6#28Black RangeNSW
- 6#29Blaxlands CreekNSW
- 6#30CaroolNSW
- 6#31Corbie HillNSW
- 6#32Cumberland ReachNSW
- 6#33Dairymans PlainsNSW
- 6#34Glen DavisNSW
- 6#35Jellat JellatNSW
- 6#36Lake Hume VillageNSW
- 6#37LoftvilleNSW
- 6#38Mount OliveNSW
- 6#39MurrumbuccaNSW
- 6#40Namoi RiverNSW
- 6#41OaklandsNSW
- 6#42OallenNSW
- 6#43RufusNSW
- 6#44South LittletonNSW
- 5#45Auburn ValeNSW
- 5#46BackmedeNSW
- 5#47BelgraviaNSW
- 5#48CongoNSW
- 5#49DombartonNSW
- 5#50EagletonNSW
- 5#51Fernbank CreekNSW
- 5#52GundyNSW
- 5#53HargravesNSW
- 5#54Hay SouthNSW
- 5#55Kingfisher ShoresNSW
- 5#56Lade ValeNSW
- 5#57Little JillibyNSW
- 5#58MilparinkaNSW
- 5#59MoorbelNSW
- 5#60NerrigaNSW
- 5#61QuialigoNSW
- 5#62Sun ValleyNSW
- 5#63TalbingoNSW
- 5#64TottenhamNSW
- 5#65Upper Taylors ArmNSW
- 5#66WintonNSW
- 5#67YarrawaNSW
- 5#68Yellow RockNSW
- 5#69Yerong CreekNSW
- 4#70Boeill CreekNSW
- 4#71BunyahNSW
- 4#72CaperteeNSW
- 4#73CollingullieNSW
- 4#74Coomba BayNSW
- 4#75DartbrookNSW
- 4#76GlenbawnNSW
- 4#77GrahamstownNSW
- 4#78Gum ScrubNSW
- 4#79Jones BridgeNSW
- 4#80MoragoNSW
- 4#81Mowbray ParkNSW
- 4#82MullionNSW
- 4#83Oakhampton HeightsNSW
- 4#84OgunbilNSW
- 4#85Possum BrushNSW
- 4#86RannockNSW
- 4#87SodwallsNSW
- 4#88Spring HillNSW
- 4#89TongarraNSW
- 4#90WalangNSW
- 4#91WarragoonNSW
- 4#92WattamollaNSW
- 4#93Whiteman CreekNSW
- 4#94WoodhillNSW
- 3#95ApsleyNSW
- 3#96BalladoranNSW
- 3#97BerraraNSW
- 3#98Big HillNSW
- 3#99BookhamNSW
- 3#100BoroNSW
| # ▲ | SUBURB | STATE | COUNT | % OF POP | POP |
|---|---|---|---|---|---|
| 1 | Port Macquarie | NSW | 693 | 47,693 | 1.5% |
| 2 | Muswellbrook | NSW | 225 | 12,272 | 1.8% |
| 3 | Cooma | NSW | 185 | 6,715 | 2.8% |
| 4 | Portland | NSW | 55 | 2,447 | 2.2% |
| 5 | Khancoban | NSW | 39 | 319 | 12.2% |
| 6 | Littleton | NSW | 18 | 737 | 2.4% |
| 7 | Binjura | NSW | 17 | 339 | 5.0% |
| 8 | Muscle Creek | NSW | 12 | 313 | 3.8% |
| 9 | Fishermans Paradise | NSW | 10 | 491 | 2.0% |
| 10 | Oakey Park | NSW | 10 | 305 | 3.3% |
| 11 | Ilford | NSW | 9 | 165 | 5.5% |
| 12 | McKellars Park | NSW | 9 | 210 | 4.3% |
| 13 | Wooloweyah | NSW | 9 | 419 | 2.1% |
| 14 | Bredbo | NSW | 8 | 392 | 2.0% |
| 15 | Cobaki | NSW | 8 | 203 | 3.9% |
| 16 | Redbournberry | NSW | 8 | 247 | 3.2% |
| 17 | Tuckurimba | NSW | 8 | 112 | 7.1% |
| 18 | Adaminaby | NSW | 7 | 339 | 2.1% |
| 19 | Bunyan | NSW | 7 | 192 | 3.6% |
| 20 | Cooperabung | NSW | 7 | 293 | 2.4% |
| 21 | Meadow Flat | NSW | 7 | 356 | 2.0% |
| 22 | Menindee | NSW | 7 | 537 | 1.3% |
| 23 | Mount Lambie | NSW | 7 | 65 | 10.8% |
| 24 | Mumbil | NSW | 7 | 298 | 2.3% |
| 25 | Ravenswood | NSW | 7 | 444 | 1.6% |
| 26 | Avonside | NSW | 6 | 157 | 3.8% |
| 27 | Ben Bullen | NSW | 6 | 71 | 8.5% |
| 28 | Black Range | NSW | 6 | 230 | 2.6% |
| 29 | Blaxlands Creek | NSW | 6 | 113 | 5.3% |
| 30 | Carool | NSW | 6 | 204 | 2.9% |
| 31 | Corbie Hill | NSW | 6 | 168 | 3.6% |
| 32 | Cumberland Reach | NSW | 6 | 208 | 2.9% |
| 33 | Dairymans Plains | NSW | 6 | 183 | 3.3% |
| 34 | Glen Davis | NSW | 6 | 106 | 5.7% |
| 35 | Jellat Jellat | NSW | 6 | 85 | 7.1% |
| 36 | Lake Hume Village | NSW | 6 | 59 | 10.2% |
| 37 | Loftville | NSW | 6 | 265 | 2.3% |
| 38 | Mount Olive | NSW | 6 | 28 | 21.4% |
| 39 | Murrumbucca | NSW | 6 | 82 | 7.3% |
| 40 | Namoi River | NSW | 6 | 61 | 9.8% |
| 41 | Oaklands | NSW | 6 | 304 | 2.0% |
| 42 | Oallen | NSW | 6 | 145 | 4.1% |
| 43 | Rufus | NSW | 6 | 41 | 14.6% |
| 44 | South Littleton | NSW | 6 | 317 | 1.9% |
| 45 | Auburn Vale | NSW | 5 | 127 | 3.9% |
| 46 | Backmede | NSW | 5 | 153 | 3.3% |
| 47 | Belgravia | NSW | 5 | 124 | 4.0% |
| 48 | Congo | NSW | 5 | 253 | 2.0% |
| 49 | Dombarton | NSW | 5 | 130 | 3.8% |
| 50 | Eagleton | NSW | 5 | 205 | 2.4% |
| 51 | Fernbank Creek | NSW | 5 | 122 | 4.1% |
| 52 | Gundy | NSW | 5 | 165 | 3.0% |
| 53 | Hargraves | NSW | 5 | 300 | 1.7% |
| 54 | Hay South | NSW | 5 | 357 | 1.4% |
| 55 | Kingfisher Shores | NSW | 5 | 160 | 3.1% |
| 56 | Lade Vale | NSW | 5 | 158 | 3.2% |
| 57 | Little Jilliby | NSW | 5 | 102 | 4.9% |
| 58 | Milparinka | NSW | 5 | 67 | 7.5% |
| 59 | Moorbel | NSW | 5 | 251 | 2.0% |
| 60 | Nerriga | NSW | 5 | 77 | 6.5% |
| 61 | Quialigo | NSW | 5 | 292 | 1.7% |
| 62 | Sun Valley | NSW | 5 | 234 | 2.1% |
| 63 | Talbingo | NSW | 5 | 224 | 2.2% |
| 64 | Tottenham | NSW | 5 | 451 | 1.1% |
| 65 | Upper Taylors Arm | NSW | 5 | 126 | 4.0% |
| 66 | Winton | NSW | 5 | 209 | 2.4% |
| 67 | Yarrawa | NSW | 5 | 101 | 5.0% |
| 68 | Yellow Rock | NSW | 5 | 1,119 | 0.4% |
| 69 | Yerong Creek | NSW | 5 | 355 | 1.4% |
| 70 | Boeill Creek | NSW | 4 | 89 | 4.5% |
| 71 | Bunyah | NSW | 4 | 130 | 3.1% |
| 72 | Capertee | NSW | 4 | 130 | 3.1% |
| 73 | Collingullie | NSW | 4 | 258 | 1.6% |
| 74 | Coomba Bay | NSW | 4 | 168 | 2.4% |
| 75 | Dartbrook | NSW | 4 | 110 | 3.6% |
| 76 | Glenbawn | NSW | 4 | 89 | 4.5% |
| 77 | Grahamstown | NSW | 4 | 71 | 5.6% |
| 78 | Gum Scrub | NSW | 4 | 121 | 3.3% |
| 79 | Jones Bridge | NSW | 4 | 15 | 26.7% |
| 80 | Morago | NSW | 4 | 50 | 8.0% |
| 81 | Mowbray Park | NSW | 4 | 94 | 4.3% |
| 82 | Mullion | NSW | 4 | 89 | 4.5% |
| 83 | Oakhampton Heights | NSW | 4 | 139 | 2.9% |
| 84 | Ogunbil | NSW | 4 | 152 | 2.6% |
| 85 | Possum Brush | NSW | 4 | 145 | 2.8% |
| 86 | Rannock | NSW | 4 | 78 | 5.1% |
| 87 | Sodwalls | NSW | 4 | 94 | 4.3% |
| 88 | Spring Hill | NSW | 4 | 526 | 0.8% |
| 89 | Tongarra | NSW | 4 | 141 | 2.8% |
| 90 | Walang | NSW | 4 | 109 | 3.7% |
| 91 | Warragoon | NSW | 4 | 98 | 4.1% |
| 92 | Wattamolla | NSW | 4 | 71 | 5.6% |
| 93 | Whiteman Creek | NSW | 4 | 158 | 2.5% |
| 94 | Woodhill | NSW | 4 | 94 | 4.3% |
| 95 | Apsley | NSW | 3 | 116 | 2.6% |
| 96 | Balladoran | NSW | 3 | 140 | 2.1% |
| 97 | Berrara | NSW | 3 | 333 | 0.9% |
| 98 | Big Hill | NSW | 3 | 78 | 3.8% |
| 99 | Bookham | NSW | 3 | 127 | 2.4% |
| 100 | Boro | NSW | 3 | 97 | 3.1% |
Top Suburbs by Utilities Workers FAQ
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What does this Utilities ranking show?
This ranking shows NSW suburbs with the highest Utilities worker 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.