NSW/Councils/Northern Beaches·LGA 15990

Northern Beaches

Council area53 suburbs19 postcodes263,554 residents (2021)254 km²

Suburbs: Dee Why·Manly·Frenchs Forest·Mona Vale·Avalon Beach·Newport·Freshwater·Belrose·Forestville·Warriewood·+ 43 more

Postcodes: 2099·2100·2095·2093·2101·2096·2107·2097·2103·2086·+ 9 more

The short version

The Northern Beaches council area takes in 53 suburbs, from Dee Why and Manly to Ku-ring-gai Chase, home to 263,554 people at the 2021 Census1. Homes sold for a median $2.18M in 2025 across 4,836 sales2, up 81.2% on ten years ago, higher than 96% of NSW councils (all NSW: $943k).

Police recorded 28.2 incidents per 1,000 residents in 20253, 57% below the NSW rate (lower is better). On the ABS index of advantage it sits in the 92nd percentile of NSW councils4, and its median household earned $2,592 a week in 2021. 18% of its addresses are on mapped bush fire prone land5. On flood maps: 3.3% in a 1% AEP or flood planning area and 0.9% in the probable maximum flood only2726. That's a lower bound: the other 96% have no flood map to check.

Loading boundary…
Median sale price, 2025
$2.18M
4,836 sales · higher than 96% of NSW councils

NSW Valuer General sales 2

Recorded crime, 2025
28.2
per 1,000 residents · 57% below NSW (66) · lower is better

BOCSAR recorded crime 3

Socio-economic advantage
92nd
percentile among NSW councils (SEIFA IRSAD, decile 10 in Australia)

ABS SEIFA 2021 4

Homes on bush fire prone land
18%
of addresses · 4.2% in a flood map (a lower bound)

NSW RFS bush fire prone land 5

01Prices

What do homes sell for across the Northern Beaches council area?

Homes in the Northern Beaches council area sold for a median $2.18M in 2025 across 4,836 sales, against $943k for every NSW sale together: higher than 96% of NSW councils. The median is up 81.2% on ten years ago.

Median sale price by year

Every residential market sale placed at an address in the council · hollow point = 2026 to 2 Nov

All dwellingsHousesUnitsAll NSW sales

Source NSW Valuer General sales 2

Median, 2025
$2.18Mall dwellings
Houses
$2.8M2025
Units
$1.28M2025
Sales in 2025
4,836
5-year growth
+37.2%
10-year growth
+81.2%

Source NSW Valuer General sales 2

Sales each year

One per dealing · 2026 to 2 Nov

Source NSW Valuer General sales 2

Where it sits in NSW

Every council's 2025 median, log scale

Source NSW Valuer General sales 2

How long sales take to settle

Median days from contract to settlement for homes, by the year they settled. This isn't time on the market, which VG doesn't record · 45 days in 2025 · 2026 so far

Source NSW Valuer General sales 2

Units settling 6+ months after contract

Share of the unit sales settling each year that settled more than 180 days after contract, mostly bought off the plan · 6.1% in 2025 · 2026 so far, more to arrive

Source NSW Valuer General sales 2

Vacant land, per m²

Median price per square metre of vacant land sold, lots up to 2 ha · 2025: $2.18M median across 22 sales, $2,816 per m² · 2025 on still filling in: land bought off the plan reaches VG only when it settles

Source NSW Valuer General sales 2

House block size

Median land area of the houses sold · 694 m² in 2025

Source NSW Valuer General sales 2

Commercial, farm and other property

Sales VG records as neither a home nor vacant land: shops, offices, factories, farms and more · one per dealing · 2025: 248 sales, median $624k

Source NSW Valuer General sales 2

Renting

New leases in the Northern Beaches council area went for a median $950 a week in April to June 2026, against $720 across NSW. That's 8% more than a year earlier.

Median, Apr–Jun 2026
$950a week · NSW $720
Houses
$1,400NSW $700
Units
$850NSW $730
2-bed unit
$900NSW $750
3-bed house
$1,338NSW $660
New bonds
1,996in the quarter

Bonds lodged in the quarter with NSW Fair Trading, placed at each rented home's address by NSW Communities and Justice. These are new leases, not what every renter pays.

Source DCJ Rent and Sales Report 30

Median weekly rent each quarter

New bonds, Jul–Sep 2017 to Apr–Jun 2026 · only quarters with 31 or more bonds

Every homeHousesUnitsNSW

Source DCJ Rent and Sales Report 30

By kind of home and bedrooms

Median weekly rent, Apr–Jun 2026, with the middle half of rents under it

Every homeHousesUnitsTownhouses
Any$950$770–1,300$1,400$1,033–1,850$850$725–1,050$1,250$913–1,431
1 bed$685$600–770$670$575–818$690$600–770–
2 beds$900$825–1,100$885$800–1,100$900$825–1,100$900$810–1,100
3 beds$1,350$1,200–1,594$1,338$1,186–1,503$1,375$1,200–1,700$1,350$1,260–1,525
4+ beds$1,800$1,550–2,200$1,850$1,595–2,220––

A figure needs more than 10 new bonds; one marked † rests on 11 to 30, so read it as rough. The headline figures need 31 or more.

Source DCJ Rent and Sales Report 30

Strata schemes

3,718 strata schemes are registered in the Northern Beaches council area, with 44,256 lots between them, and 36% of its addresses are in one (NSW 25%). They were registered 37.8 years ago on average (NSW 29.1), which dates the scheme, not always its building.

Strata schemes
3,718
Strata lots
44,256
Addresses in a scheme
36%NSW: 25%
Average scheme age
37.8years since registration · NSW: 29.1

A scheme is counted where most of its addresses are. Lots include the garages, storerooms and shops a plan makes lots of, and a scheme that has been wound up leaves the register.

Source StrataHub strata plans 29

When its schemes were registered

Share of its schemes under each strata Act · NSW: 9.0%, 40%, 36% and 15%

1961 Act · to 197430%
1973 Act · 1974–9734%
1996 Act · 1997–201629%
2015 Acts · since 20166.5%

These date each scheme's registration, not its building: an older block can be strata-titled long after it went up.

Source StrataHub strata plans 29

Building approvals

625 dwellings were approved in the Northern Beaches council area in 2025–26, 2.3 for every 1,000 residents (NSW 6.1): 351 houses and 274 other dwellings, such as townhouses and apartments. The building work approved was worth $999M for homes and $253M for other buildings.

Dwellings approved

Each financial year to June · dashed: NSW at this area's usual share

Source ABS Building Approvals 28

Dwellings approved, 2025–26
625
Per 1,000 residents
2.3NSW: 6.1
Houses
351
Other dwellings
274townhouses, apartments
Residential work
$999Mvalue approved
Non-residential work
$253Mvalue approved

An approval is what may be built, not what was: a job can be approved again, built years later or never. One large development can make a year, so the counts jump about.

Source ABS Building Approvals 28

Land values

At 1 July 2025 the Valuer General valued the land in the Northern Beaches council area at $162.8bn, up 3.4% on a year before. Residential land makes up $143.3bn of it (88%). The median residential land value in 2025 was $1,680,000, 62% of the median residential sale price.

Land value by zone, 1 July 2025

Every property's land value, totalled by its zone

Residential$143.3bn
Commercial$5.9bn
Industrial$3.05bn
Rural$4.56bn
Other zones$5.91bn

Total $162.8bn, against $157.4bn at 1 July 2024 (+3.4%)

Land value is the land alone, without the home or anything else built on it: what the Valuer General sets at 1 July each year for council rates and land tax.

Source Valuer General land value summaries 20

Median residential land value

Each year's median, as the Valuer General's summary gives it, and that as a share of the median residential sale price

2021$1.28M · 50%
2022$1.6M · 62%
2023$1.45M · 58%
2024$1.62M · 62%
2025$1.68M · 62%

The share divides one median by the other, so it isn't any one home's land and price.

Source Valuer General land value summaries 20

First home buyers and transfer duty

In 2025–26, about 264 first home buyers in the Northern Beaches council area were let off transfer duty or paid less under a NSW first home buyer scheme, down from 346 the year before. That's 0.8% of the 32,137 across NSW. Revenue NSW paid about one First Home Owner Grant here. Transfer duty on residential property here came to about $651.6M, 6.1% of NSW's $10.6bn. Revenue NSW counts by postcode, so these are estimates: each postcode's figures are split by where its homes are.

First home buyer duty exemptions

Transfer duty exemptions and concessions each financial year, estimated from postcode figures

Exemptions and concessionsNSW at its usual share (1.2%)

NSW, 2025–26: 32,137

Who qualifies for a first home buyer exemption, and up to what price, has changed over the years, so the counts follow the rules as well as demand.

Source Revenue NSW statistics by postcode 19

First Home Owner Grants paid

Payments each financial year, estimated from postcode figures

Grants paidNSW at its usual share (under 0.1%)

NSW, 2025–26: 636

Transfer duty paid on residential land

Duty paid each financial year, estimated from postcode figures

Duty paidNSW at its usual share (6.4%)

NSW, 2025–26: $10.6bn

Against NSW2020–212025–26Change
Duty here (estimate)$559.3M$651.6M+17%
NSW duty on residential land$7.83bn$10.7bn+37%
NSW residential transfers215,274200,697−7%

NSW's lines are Revenue NSW's land-related duty statistics, which count residential transfers by the documents it receives; duty here comes from its postcode statistics, by the postcode on each lodged transfer. They're counted differently, so compare how each changed, not the amounts. Both run from 2020–21, the first year of the postcode figures.

Exemptions are counted when the transfer is lodged and grants when they're paid, so the two don't match. Duty is the amount paid, not a count of sales.

Source Revenue NSW statistics by postcode 19

02Suburbs & postcodes

Which suburbs make up the Northern Beaches council area?

The Northern Beaches council area takes in 53 suburbs across 19 postcodes.

Every suburb in the council

Most residents first · each links to its own page

SuburbResidentsMedian, 2025Sales10 yearsCrime per 1,000, 2025Advantage
Dee Why23,354$1.14M650+65%31.785th
Manly16,296$2.13M428+77%73.699th
Frenchs Forest14,267$2.4M190+77%19.897th
Mona Vale10,877$2.3M248+96%28.092nd
Avalon Beach10,379$2.5M194+96%17.094th
Newport9,659$2.32M200+85%27.795th
Freshwater9,186$1.58M220+94%18.797th
Belrose8,726$2.27M162+76%23.696th
Forestville8,659$2.4M119+87%15.595th
Warriewood8,379$1.85M183+126%26.994th
Narrabeen8,255$1.28M211+49%28.381st
Balgowlah8,068$2.3M211+78%32.597th
Cromer8,030$2.34M108+89%23.492nd
Collaroy7,944$1.56M172+85%23.794th
Beacon Hill7,814$2.39M84+86%18.194th
Seaforth7,384$3.55M109+80%20.399th
Allambie Heights7,317$2.6M73+94%14.295th
Narraweena6,971$2.49M52+97%20.476th
Manly Vale6,389$1.2M154+61%28.693rd
Fairlight6,141$2.74M124+81%13.999th
North Narrabeen6,016$2.1M74+73%37.392nd
Collaroy Plateau4,805$2.8M66+105%10.896th
Elanora Heights4,581$2.54M62+89%12.496th
Killarney Heights4,502$2.8M55+80%16.598th
North Curl Curl4,288$3.67M42+113%13.896th
North Balgowlah3,816$3.33M46+115%8.5100th
Bayview3,807$3.63M52+108%18.093rd
Bilgola Plateau3,650$2.5M58+82%9.997th
Balgowlah Heights3,546$4.51M45+99%16.0100th
Queenscliff3,407$1.38M120+59%15.499th
North Manly3,396$2.98M54+112%14.696th
Brookvale3,389$1M127+43%199.785th
Wheeler Heights3,232$2.28M36+78%11.795th
Terrey Hills3,142$2.3M36+69%24.594th
Davidson2,725$2.41M50+75%7.898th
Curl Curl2,364$3.85M35+106%28.998th
Clontarf1,746$6.3M24+133%26.6100th
Palm Beach1,652$5.88M46+180%40.697th
Church Point1,066$3.22M34+74%51.198th
Ingleside1,030$5.45M13–35.392nd

The suburbs' own figures, as on their pages: medians need at least 5 sales, crime rates 200 residents and SEIFA percentiles 100. Advantage is the SEIFA IRSAD percentile among NSW suburbs.

Source NSW Valuer General sales 2 · BOCSAR recorded crime 3 · ABS SEIFA 2021 4 · ABS Census 2021 1

Also in the council, with too few residents or sales for figures: Clareville, Scotland Island, Duffys Forest, Whale Beach, Oxford Falls, Bilgola Beach, Lovett Bay, Cottage Point, Elvina Bay, Great Mackerel Beach, Morning Bay, Coasters Retreat, Ku-ring-gai Chase.

Its postcodes

Postal areas holding at least 1% of the council's addresses, with that share · each links to its own page

209917%
21009.2%
20958.6%
20938.1%
21017.3%
20965.6%
21075.4%
20975.1%
21034.7%
20864.5%
20854.2%
20873.9%
21023.7%
21063.6%
20942.3%
20922.2%
21041.5%
21081.3%
20841.3%

Source ABS ASGS 2021 and LGA 2025 24

03People

Who lives in the Northern Beaches council area?

On income, education, jobs and housing together, the Northern Beaches council area scores 1,125 on the ABS index of advantage, higher than 91% of NSW councils. Its median household earned $2,592 a week at the 2021 Census.

SEIFA 2021 deciles

1 = most disadvantaged tenth of Australian council areas, 10 = most advantaged

Advantage and disadvantageIRSAD10
DisadvantageIRSD · higher = less disadvantaged10
Economic resourcesIER10
Education and occupationIEO10

Among NSW councils it sits in the 92nd percentile on IRSAD.

Source ABS SEIFA 2021 4

Census 2021 profile

Residents (2021)
263,554
Median age
41
Aged 65 and over
18.2%
Median household income
$2,592 a week
Households renting
27.1%
Social housing
1%
Owned outright
35.1%
With a mortgage
35.3%
Median mortgage (2021)
$3,124 a month
Flats and apartments
33.4%
People per km²
1,037

Source ABS Census 2021 1

Household income across NSW

Every council's median weekly household income, Census 2021

Source ABS Census 2021 1

Advantage across NSW

Every council's SEIFA IRSAD score

Source ABS SEIFA 2021 4

How households hold their homes

Share of households, Census 2021 · renting privately leaves out social housing, which the Census counts as renting

Source ABS Census 2021 1

Population

An estimated 272,656 people lived in the Northern Beaches council area at 30 June 2025, up 0.5% on a year earlier, against +1.2% across NSW. That's 10,063 more people than in 2015 (+3.8%).

Residents, June 2025
272,656estimated
Growth, year to June 2025
+0.5%NSW +1.2%
Since June 2015
+3.8%+10,063 people
People per km²
1,073NSW 11

Source ABS Regional Population 7

Residents at 30 June

ABS estimated resident population, 2001–2025

Source ABS Regional Population 7

Growth each year

Change over the year to 30 June, against NSW

Northern Beaches grewshrankNSW that year

Source ABS Regional Population 7

Income

The Census counts households' income once in five years ($2,592 a week in 2021); the ABS's yearly figure from tax returns counts each person's. Residents of the Northern Beaches council area who lodged a tax return had a median income of $67,899 in 2022–23, against $58,909 across NSW. That's 18.6% more than in 2018–19 (NSW +19%). For 74.4%, most income came from wages and salaries.

Median income, 2022–23
$67,899NSW $58,909
Since 2018–19
+18.6%NSW +19%
Rank in NSW
…percentile of councils

Residents who lodged a tax return, by where they live; government pensions and allowances aren't counted, and neither are people who didn't lodge.

Source ABS Data by Region 8

Median income each year

All sources, before tax · financial years 2018–19 to 2022–23, by the year they end

Northern BeachesNSW

Source ABS Data by Region 8

Where income comes from

The source most of each person's income came from, 2022–23

Median income from each source

Among the people with any income from it

Wages and salariesNSW $63,301
$70,977
Own businessNSW $12,714
$15,337
InvestmentsNSW $240
$771
Super and annuitiesNSW $26,108
$28,827

Source ABS Data by Region 8

04Elections

How did the Northern Beaches council area vote?

Federal elections

At the 2025 federal election, the two-party-preferred vote in the Northern Beaches council area split an estimated 50.3% Labor to 49.7% Coalition, against 55.3% to 44.7% across NSW. That's a swing of 5.7 points to Labor since 2022 (across NSW, 3.9 points to Labor). Like every figure here, it's estimated from the polling places where votes were cast, not where voters live: built from 48% of the formal votes cast in its electorates.

The 2025 federal election

Polling day 3 May 2025 · estimated from where votes were cast, not where voters live

Labor, two-party-preferred
50.3%NSW 55.3%
Swing to Labor since 2022
+5.7 ptsNSW +3.9 pts
Informal votes
7.1%NSW 8.1%
Built from
48%of the votes cast in its electorates

First preferences

NSW: Labor 35% · Coalition 32% · Greens 11% · Independents 10% · Other candidates 13%

Votes are counted where they're cast. Where the electoral commission publishes votes by where electors live (federal 2019 and 2022), nearly every vote is placed; otherwise each election-day vote is placed at the polling places nearest the homes it serves, and pre-poll, postal and absent votes can't be placed, so the share a figure is built from is shown beside it.

Source AEC Tally Room federal election results (31496) · AEC, CC BY 4.0 9

Labor's two-party-preferred share

Each federal election, against NSW · above each point, the swing since the election before

Northern BeachesNSW50%, level

Votes each estimate is built from: 2007 80% · 2010 78% · 2013 71% · 2016 68% · 2019 100% · 2022 100% · 2025 48%

Source AEC Tally Room federal election results (31496) · AEC, CC BY 4.0 9

Its 2 federal electorates, 2025

The divisions its residents vote in, with the share of its residents (2021 Census) in each · the AEC's own count for the whole division, not an estimate

Mackellar

Elected: Sophie SCAMPS (Independent)

Final count, two candidates

Sophie SCAMPSIndependent55.7%
James BROWNLiberal44.3%
First preferences, 9 candidates
Sophie SCAMPSIndependent38.0%
James BROWNLiberal35.4%
Jeffrey QUINNLabor12.1%
Ethan HRNJAKThe Greens6.1%
Brad HAYMANPauline Hanson's One Nation2.5%
Lisa COTTONIndependent2.1%
Justin ADDISONLibertarian1.7%
Amber ROBERTSONTrumpet of Patriots1.4%
Mandeep SINGHIndependent0.6%

129,339 enrolled · 111,847 formal votes · 7.4% informal

Results on the AEC site
Warringah

Elected: Zali STEGGALL (Independent)

Final count, two candidates

Zali STEGGALLIndependent61.2%
Jaimee ROGERSLiberal38.8%
First preferences, 8 candidates
Zali STEGGALLIndependent39.7%
Jaimee ROGERSLiberal31.7%
Celine VARGHESE-FELLLabor14.6%
Bonnie HARVEYThe Greens8.7%
Gavin WRIGHTPauline Hanson's One Nation1.7%
Sean McLEODLibertarian1.3%
Anthony ROSETrumpet of Patriots1.2%
David Michael SPRATTIndependent1.0%

130,761 enrolled · 114,895 formal votes · 4.6% informal

Results on the AEC site

Source AEC Tally Room federal election results (31496) · AEC, CC BY 4.0 9

State elections

At the 2023 state election, Coalition took the most first preferences in the Northern Beaches council area, an estimated 41.6%. There's no two-party-preferred estimate: most of the votes in its districts came from contests whose final two weren't Labor and the Coalition. Like every figure here, it's estimated from the polling places where votes were cast, not where voters live: built from 53% of the formal votes cast in its electorates.

The 2023 state election

Polling day 25 March 2023 · estimated from where votes were cast, not where voters live

Informal votes
2.5%NSW 3.3%
Built from
53%of the votes cast in its electorates

First preferences

NSW: Labor 37% · Coalition 35% · Greens 10% · Independents 9% · Other candidates 9%

Votes are counted where they're cast. Where the electoral commission publishes votes by where electors live (federal 2019 and 2022), nearly every vote is placed; otherwise each election-day vote is placed at the polling places nearest the homes it serves, and pre-poll, postal and absent votes can't be placed, so the share a figure is built from is shown beside it.

Source NSW Electoral Commission past election results (SG2301) · NSWEC, CC BY 4.0 10

Its 4 state electorates, 2023

The districts its residents vote in, with the share of its residents (2021 Census) in each · the NSW Electoral Commission's own count for the whole district, not an estimate

Manly

Elected: James GRIFFIN (The Liberal Party of Australia, New South Wales Division)

Final count, two candidates

James GRIFFINThe Liberal Party of Australia, New South Wales Division54.8%
Joeline HACKMANIndependent45.2%
First preferences, 7 candidates
James GRIFFINThe Liberal Party of Australia, New South Wales Division45.0%
Joeline HACKMANIndependent27.2%
Jasper THATCHERAustralian Labor Party (NSW Branch)12.9%
Terry LE ROUXThe Greens NSW9.0%
Phillip ALTMANIndependent2.6%
Bailey MASONAnimal Justice Party2.0%
Emanuele PALETTOSustainable Australia Party - Stop Overdevelopment / Corruption1.3%

61,062 enrolled · 52,825 formal votes · 2.2% informal

Results on the NSW Electoral Commission site
Wakehurst

Elected: Michael REGAN (Independent)

Final count, two candidates

Michael REGANIndependent54.5%
Toby WILLIAMSThe Liberal Party of Australia, New South Wales Division45.5%
First preferences, 6 candidates
Toby WILLIAMSThe Liberal Party of Australia, New South Wales Division36.9%
Michael REGANIndependent35.9%
Sue WRIGHTAustralian Labor Party (NSW Branch)14.8%
Ethan HRNJAKThe Greens NSW7.8%
Susan SORENSENAnimal Justice Party2.4%
Greg MAWSONSustainable Australia Party - Stop Overdevelopment / Corruption2.2%

58,085 enrolled · 51,334 formal votes · 2.6% informal

Results on the NSW Electoral Commission site
Pittwater

Elected: Roderick (Rory) AMON (The Liberal Party of Australia, New South Wales Division)

Final count, two candidates

Roderick (Rory) AMONThe Liberal Party of Australia, New South Wales Division50.7%
Jacqui SCRUBYIndependent49.3%
First preferences, 5 candidates
Roderick (Rory) AMONThe Liberal Party of Australia, New South Wales Division44.7%
Jacqui SCRUBYIndependent35.9%
Jeffrey QUINNAustralian Labor Party (NSW Branch)10.2%
Hilary GREENThe Greens NSW6.8%
Craig LAWSustainable Australia Party - Stop Overdevelopment / Corruption2.4%

56,181 enrolled · 49,511 formal votes · 2.2% informal

Results on the NSW Electoral Commission site
Davidson

Elected: Matt CROSS (The Liberal Party of Australia, New South Wales Division)

Final count, two candidates

Matt CROSSThe Liberal Party of Australia, New South Wales Division63.9%
Karyn EDELSTEINAustralian Labor Party (NSW Branch)36.1%
First preferences, 5 candidates
Matt CROSSThe Liberal Party of Australia, New South Wales Division54.1%
Karyn EDELSTEINAustralian Labor Party (NSW Branch)20.5%
Janine KITSONIndependent11.4%
Caroline ATKINSONThe Greens NSW11.4%
Andrew WILLSSustainable Australia Party - Stop Overdevelopment / Corruption2.6%

59,865 enrolled · 53,319 formal votes · 2.2% informal

Results on the NSW Electoral Commission site

Source NSW Electoral Commission past election results (SG2301) · NSWEC, CC BY 4.0 10

Council elections

At the 2024 council election, Local teams and other parties took the most first preferences for councillor in the Northern Beaches council area, 49.1%, and of the 15 councillors elected, Local teams and other parties 7, Greens 4 and Independents 4. These are the NSW Electoral Commission's own counts, every ward added together, not estimates.

The 2024 council election

Polling day 14 September 2024 · councillor elections, every ward added together

First preferences

Councillors elected

Local teams and other parties 7 · Greens 4 · Independents 4

Source NSW Electoral Commission past election results (LG2401) · NSWEC, CC BY 4.0 10

Councillors at each election

By party group · independents stand under no party or team name; local teams are with other parties

  • 2021 Local teams and other parties 6 · Coalition 5 · Greens 2 · Independents 2
  • 2024 Local teams and other parties 7 · Greens 4 · Independents 4

Source NSW Electoral Commission past election results (LG2401) · NSWEC, CC BY 4.0 10

Its 2024 council elections

5 wards · the NSW Electoral Commission's own counts

Northern Beaches Curl Curl Ward

Elected: Joeline HACKMAN (Your Northern Beaches), Nicholas BEAUGEARD (Your Northern Beaches), Kristyn GLANVILLE (The Greens)

First preferences, 10 candidates
Group A — YOUR NORTHERN BEACHES INDEPENDENT TEAMabove the line56.9%
Group B — THE GREENSabove the line20.8%
Jasper THATCHERLabor8.9%
Joeline HACKMANYour Northern Beaches5.3%
Kristyn GLANVILLEThe Greens3.0%
Nick McDONALDYour Northern Beaches2.2%
Nicholas BEAUGEARDYour Northern Beaches1.4%
Carolyn HOWELLSLabor0.9%
Judy LAMBERTThe Greens0.3%
Roberto SUARESThe Greens0.2%

28,691 formal votes · 8.2% informal

Results on the NSW Electoral Commission site
Northern Beaches Frenchs Forest Ward

Elected: Ethan HRNJAK (The Greens), Sue HEINS (Your Northern Beaches), Jody WILLIAMS (Your Northern Beaches)

First preferences, 8 candidates
Group B — YOUR NORTHERN BEACHES INDEPENDENT TEAMabove the line65.0%
Group A — THE GREENSabove the line22.2%
Sue HEINSYour Northern Beaches5.2%
Ethan HRNJAKThe Greens3.4%
Jody WILLIAMSYour Northern Beaches1.8%
Penny PHILPOTTYour Northern Beaches1.5%
Fathimath IBRAHIMThe Greens0.5%
Cooper HOLDSWORTHThe Greens0.4%

29,790 formal votes · 8.0% informal

Results on the NSW Electoral Commission site
Northern Beaches Manly Ward

Elected: Candy BINGHAM (Independent), Sarah GRATTAN (Your Northern Beaches), Bonnie HARVEY (The Greens)

First preferences, 16 candidates
Group B — YOUR NORTHERN BEACHES INDEPENDENT TEAMabove the line32.8%
Group A — GOOD FOR MANLYabove the line31.9%
Group D — THE GREENSabove the line15.2%
Group C — LABORabove the line9.7%
Candy BINGHAMIndependent3.5%
Sarah GRATTANYour Northern Beaches2.6%
Bonnie HARVEYThe Greens1.6%
David COWELLYour Northern Beaches0.6%
Brandt CLIFFORDLabor0.6%
Rachael MARTINYour Northern Beaches0.4%
Peter GREENTREEIndependent0.3%
Taylah SCHRADERIndependent0.2%
Celine VARGHESE-FELLLabor0.1%
Sam PIGRAMLabor0.1%
Terry LE ROUXThe Greens0.1%
Pamela DAWESThe Greens0.1%

28,475 formal votes · 5.3% informal

Results on the NSW Electoral Commission site
Northern Beaches Narrabeen Ward

Elected: Vincent DE LUCA (IND), Robert GILTINAN (IND), Ruth ROBINS (Your Northern Beaches)

First preferences, 10 candidates
Group Aabove the line44.8%
Group C — YOUR NORTHERN BEACHES INDEPENDENT TEAMabove the line28.8%
Sue WRIGHTLabor11.6%
Vincent DE LUCAIND8.3%
Ruth ROBINSYour Northern Beaches3.1%
Tammy COOKIND0.9%
Adam HUGHESYour Northern Beaches0.9%
Chris JACKSONYour Northern Beaches0.6%
Ryan O'SULLIVANLabor0.6%
Robert GILTINANIND0.5%

29,064 formal votes · 9.0% informal

Results on the NSW Electoral Commission site
Northern Beaches Pittwater Ward

Elected: Miranda KORZY (The Greens), Rowie DILLON (Your Northern Beaches), Mandeep SINGH (Independent)

First preferences, 10 candidates
Mandeep SINGHIndependent37.4%
Group B — YOUR NORTHERN BEACHES INDEPENDENT TEAMabove the line30.8%
Group A — THE GREENSabove the line21.5%
Miranda KORZYThe Greens3.3%
Rowie DILLONYour Northern Beaches2.5%
Ian WHITEYour Northern Beaches1.6%
Philip WALKERIndependent1.4%
Judy CHARNAUDYour Northern Beaches0.8%
Evan TURNER-SCHILLERThe Greens0.5%
Felicity DAVISThe Greens0.4%

28,655 formal votes · 6.0% informal

Results on the NSW Electoral Commission site

Source NSW Electoral Commission past election results (LG2401) · NSWEC, CC BY 4.0 10

05Safety

How much crime is recorded in the Northern Beaches council area?

Police recorded 28.2 incidents per 1,000 residents in the Northern Beaches council area in 2025, 57% below the NSW rate (66; lower is better): lower than 95% of NSW councils.

Recorded crime per 1,000 residents

All offences except transport fare evasion · BOCSAR's council figures

Northern BeachesNSW (every council together)

Source BOCSAR recorded crime 3

By offence type

2025 rate per 1,000 residents, with the NSW rate · lines show 2001–2025 · shaded: years above NSW

Violent crime0.5× NSW

5.3NSW 11.2 · 1,456 incidents

Property crime0.5× NSW

9.8NSW 21.2 · 2,667 incidents

Domestic violence assault0.4× NSW

1.7NSW 4.4 · 451 incidents

Home break-ins0.3× NSW

0.6NSW 2.1 · 169 incidents

Vehicle theft0.4× NSW

1.8NSW 4.7 · 503 incidents

Source BOCSAR recorded crime 3

How it ranks

Every council's 2025 rate, log scale

Source BOCSAR recorded crime 3

Road crashes

Police recorded 3,030 crashes in which someone was killed or injured in the Northern Beaches council area over 2016–2025, about 303 a year; 873 of them were fatal or caused a serious injury. That's 1.1 a year per 1,000 residents, 34% below the NSW rate (1.7; lower is better). 54% of them were on state roads (highways and main roads). Crash counts follow traffic: a place that many people drive, ride or walk through counts their crashes too, so the rate says more about that traffic than about the streets residents use.

Crashes in which someone was hurt

Killed or injured, by reporting year · 3,030 over 2016–2025, and 1,269 more where a vehicle was towed away and no one was hurt

Someone killed or seriously injuredOther injury

Source TfNSW NSW Crash Data 14

How severe, and who was involved

2016–2025 together

Casualty crashes a year per 1,000 residents
1.134% below NSW (1.7) · lower is better
Fatal or serious-injury crashes
873
People killed
35
Involving a pedestrian
344crashes
Involving a cyclist
416crashes
Involving a motorcycle
635crashes

Source TfNSW NSW Crash Data 14

Streets with the most casualty crashes

Within the Northern Beaches council area, 2016–2025

Pittwater Road570 casualty crashes · 146 fatal or serious570
Warringah Road262 casualty crashes · 78 fatal or serious262
Mona Vale Road159 casualty crashes · 50 fatal or serious159
Barrenjoey Road130 casualty crashes · 41 fatal or serious130
Wakehurst Parkway119 casualty crashes · 44 fatal or serious119
Crash counts follow traffic as well as risk: places crossed by highways and motorways, and busy centres such as the Sydney CBD, count the crashes of everyone who drives, rides or walks through, not only residents. Each crash is placed where police recorded it, often the nearest intersection, and only police-reported crashes are counted.

Source TfNSW NSW Crash Data 14

Fines the council issues

The council issued 51,415 parking fines in 2025–26, 188.6 for every 1,000 residents of the Northern Beaches council area (NSW councils together: 150.6), with a face value of $9.39M. It issued 60 food safety fines.

Parking fines per 1,000 residents

Issued by the council each financial year · 2026–27 to October, faint · blank in a year it issued fewer than 100

Source Revenue NSW fines, CC BY 15

Parking fines issued, 2025–26
51,415
Per 1,000 residents
188.6NSW councils: 150.6
Their face value
$9.39M
Food safety fines, 2025–26
60

This counts how hard the council enforces parking, and how many people drive in, not how its residents park. Fines on state land, such as hospitals, universities and police patrols, are no council's and aren't counted. Face value is what the fines were for when issued, not what was paid: many are reduced, withdrawn or never paid.

Food safety fines show how a council deals with breaches, by fine or by warning, not how clean its kitchens are.

Source Revenue NSW fines, CC BY 15

Ambulance

In 2025–26, ambulances were sent 123.6 times for every 1,000 residents of the area around the Northern Beaches council area (NSW 182.2). In April to June 2026, half of its emergency calls were reached within 14.8 minutes and nine in ten within 31.9 minutes (NSW 14 and 33): lower is quicker.

Ambulances sent per 1,000 residents

The wider area around here, each financial year · the dotted line marks the response grid change

Northern Beaches's areaNSW

NSW Ambulance changed how it sends ambulances in February 2025, and NSW's responses fell 6.4% that quarter, so years either side of the line don't strictly compare.

Source BHI Healthcare Quarterly 25

Median response, April to June 2026
14.8minutes · NSW 14
Nine in ten reached within
31.9minutes · NSW 33
Ambulances sent per 1,000, 2025–26
123.6NSW 182.2
Incidents per 1,000, 2025–26
93NSW 138.3

Emergency (category 2) calls. Half are reached within the median, and nine in ten within the 90th percentile; lower is quicker.

BHI reports ambulance work by ABS statistical area (SA3), so these are the figures for the wider area around here, shared by every suburb in it, not this place's own.

Source BHI Healthcare Quarterly 25

06Hazards & energy

Could fire or flood reach the Northern Beaches council area, and how many homes run on solar?

18% of addresses in the Northern Beaches council area fall on mapped bush fire prone land. On flood maps: 3.3% in a 1% AEP or flood planning area and 0.9% in the probable maximum flood only. That's a lower bound: the other 96% have no flood map to check.

Addresses on bush fire prone land

By RFS category · 71% of its land is mapped bush fire prone

A planning designation, not a risk rating: building on mapped land needs a bush fire assessment.

Source NSW RFS bush fire prone land 5

Flood maps

Share of addresses, each at its most serious rung

1% AEP or flood planning area3.3%
Probable maximum flood only0.9%
Greendale Creek Flood Study, a modelled flood map of creek and overland flooding, not a planning control: 4,274 in its 1% AEP or flood planning area; 1,125 in its PMF only.
Ku-ring-gai Council's Middle Harbour South flood study, a modelled flood map of creek and overland flooding, not a planning control: 1 in its 1% AEP or flood planning area.
So these shares are a lower bound: the other 96% have no flood map to check. That's a gap in our data, not a sign it doesn't flood.

Source NSW Flood Data Portal 27 · NSW flood studies 26

Rooftop solar (estimate)

Solar systems per 100 houses
41.4
Home batteries per 1,000 dwellings
59.1
The Clean Energy Regulator counts systems by postcode only, so each postcode's systems are shared out by its homes: an estimate, 100% of it from postcodes wholly inside the council. On that basis it is lower than 85% of NSW councils.

Source Clean Energy Regulator (estimate) 11

Solar across NSW (estimates)

Every council's systems per 100 houses

Source Clean Energy Regulator (estimate) 11

Tree canopy

36.0% of the land surveyed in the Northern Beaches council area is under tree canopy (2024/25), about the same as Greater Sydney's 34.5%. Up 1.1 points from 34.9% in 2022/23. Greater Sydney's target is 40%.

Land under tree canopy

Share of the land surveyed under trees taller than 3 m · the dashed line is Greater Sydney's 40% target

Northern Beaches, 2022/2334.9%
Northern Beaches, 2024/2536.0%
Greater Sydney, 2024/2534.5%

From aerial imagery of Greater Sydney's urban and rural areas: the share of land under vegetation taller than 3 metres. A place's figure covers the land the survey reached in it, which leaves out national parks beyond the urban edge and the newest estates. The 2022/23 and 2024/25 surveys share a method, so they compare.

Source DPHI tree canopy 18

07Schools & planning

Where are the schools in the Northern Beaches council area, and how is the land zoned?

The Northern Beaches council area has 46 government schools, and its middle home is 0.8 km in a straight line from its local primary school. Most of its homes are zoned R2 Low Density Residential.

Government schools

Schools in the council
46
To the local primary school
0.8km
To the local high school
2.1km
Zoned for a primary school with ICSEA 1,100+
51%of homes
Distances are straight lines from the middle home to the school its catchment names. Catchments change, and some schools zone different year groups differently: confirm with the school or the department's School Finder before relying on one. School Finder. Government schools only: Catholic and independent schools have no catchments in this data. ICSEA describes the families a school serves (parents' occupations and education, remoteness, Indigenous enrolment; the national average is 1,000). It is not a measure of teaching or results.

Source NSW Department of Education 12

How its land is zoned

Share of the council's land area · Main zone by homes: R2 Low Density Residential

Source NSW EPI zoning and heritage maps 13

Heritage

Homes on a heritage item or in a heritage conservation area: 4.5% in all · 5.8% of its land

Work on a listed item or in a conservation area usually needs council heritage approval.

Source NSW EPI zoning and heritage maps 13

08Getting around

How easy is it to reach public transport in the Northern Beaches council area?

At 8–9am on a weekday, 52% of residents in the Northern Beaches council area live where public transport access is good: TfNSW level 4 (medium–high) or better, above NSW's 33% (higher is better). Their average level is 3.6 of 6 (medium–high), above NSW's 2.6. The share is much the same as in December 2022.

Average access level, 8–9am

TfNSW's 0–6 level, averaged over residents · weekday timetable, December 2025

Northern Beaches 3.6NSW 2.6

TfNSW scores every mesh block (a few dozen homes) for each hour of a weekday from the walk to nearby stops and how often services call there, from 1 (low) to 6 (very high); 0 means no service that hour. A place's figure is the average over the people who live there, not a level TfNSW publishes.

Source TfNSW PTAL 16

Residents with good access

Share living at level 4 (medium–high) or better, 8–9am, each December

Northern BeachesNSW

Average level by December: 2022 3.6 · 2023 3.2 · 2024 3.7 · 2025 3.6

Source TfNSW PTAL 16

Vehicles

The Northern Beaches council area had 724 registered vehicles for every 1,000 residents in December 2025 (NSW 737). 2.9% of its cars, four-wheel drives and light goods vehicles were battery electric (NSW 1.8%), and battery electric light vehicles grew 3.04× between December 2023 and October 2026.

Vehicles per 1,000 residents, 2025
724NSW 737
Motorcycles per 1,000, 2025
38.1NSW 32
Trucks and buses per 1,000, 2025
21.6NSW 32.5
Hybrid share of the light fleet, 2025
4.6%NSW 5.0%
Ute share of the light fleet, 2025
10.4%NSW 16.4%
Average age of passenger vehicles, 2025
10.2years · NSW 10.6

Counted at each vehicle's registered address, every December. TfNSW leaves out every count under 20, so a missing row is a small count, not none, and the rows don't add up to the fleet.

Source TfNSW vehicle registrations, CC BY 17

Battery electric share of the light fleet

Cars, four-wheel drives and light goods vehicles · Each December · 2026 to October · TfNSW's last two months are provisional

Northern BeachesNSW

Source TfNSW vehicle registrations, CC BY 17

Battery electric light vehicles

Registered each December, then October 2026

Source TfNSW vehicle registrations, CC BY 17

Light vehicles by fuel

Cars, four-wheel drives and light goods vehicles, October 2026.

Battery electric7,722
Plug-in hybrid1,405
Hybrid10,543
Petrol123,276
Diesel37,628
Other fuels529

Source TfNSW vehicle registrations, CC BY 17

Every vehicle by type

October 2026.

Cars134,693
Four-wheel drives21,602
Utes and vans26,062
Trucks and buses6,052
Motorcycles10,268
Trailers and caravans18,355

Source TfNSW vehicle registrations, CC BY 17

The most registered makes

October 2026 · Of the makes TfNSW names: it leaves some out, BYD and Polestar among them.

Toyota33,199
Mazda19,931
Hyundai13,448
Volkswagen12,341
Subaru11,329

Source TfNSW vehicle registrations, CC BY 17

Registered for business use

Share of vehicles, 2025
14.5%NSW 15.4%
A vehicle counts at its registered customer's address, so a company's fleet counts where its office is: council areas with head offices read high, and this isn't only the residents' own vehicles.

Source TfNSW vehicle registrations, CC BY 17

09Business

Who's in business in the Northern Beaches council area?

33,595 businesses registered for GST had an address in the Northern Beaches council area at 30 June 2025, 123 for every 1,000 residents (NSW 107). 7.5% turn over $2 million or more a year, against 8.8% across NSW. Compared with NSW, more of them are in professional, scientific and technical services and education and training.

Businesses, June 2025
33,595registered for GST
Per 1,000 residents
123NSW 107
Turning over $2m+
7.5%NSW 8.8%

Source ABS Data by Region 8

Businesses at 30 June

2021–2025 · the dashed line is NSW's count scaled to this place's usual share

Source ABS Data by Region 8

Turnover and size

Share of businesses by yearly turnover and by employees, June 2025

By employees

Source ABS Data by Region 8

Industry mix

Share of businesses in each industry, June 2025 · most over-represented against NSW first

Media and telecoms2%
Professional services22%
Education and training2.6%
Arts and recreation2.2%
Electricity, gas, water0.4%
Wholesale trade3.5%
Manufacturing3.4%
Admin and support4.9%
Finance and insurance5.9%
Rental and real estate12%
Construction17%
Other services4.3%
Retail trade5.1%
Health care and social help6.5%
Accommodation and food3.3%
Public administration0.2%
Transport and warehousing3.5%
Mining<0.1%
Agriculture, forestry, fishing0.8%
Northern BeachesNSW share

Source ABS Data by Region 8

Going out

The Northern Beaches council area had 504 licensed venues on October 2026's list, 1.8 for every 1,000 residents (NSW 1.7): 21 hotels, 43 clubs, 3 small bars, 356 restaurants and other on-premises venues and 81 bottle shops. 24 are licensed past midnight. That's down from 511 in 2021.

Venues per 1,000 residents

October lists, 2021–2026

Northern BeachesNSW

Each year is that October's list: Liquor & Gaming NSW cancels licences in bulk once a year, so months don't compare. Venues that have stopped trading for six weeks or more, or are suspended, aren't counted. What a licence allows, not when a venue opens, and leaving out clubs, whose licences have no set hours.

Source Liquor & Gaming NSW premises list 23

Licences opened and closed

Licences on the list one October and not the one before, or the other way. Many are cancelled in one day each year for fees unpaid, sometimes long after the venue shut.

OpenedClosed

Source Liquor & Gaming NSW premises list 23

Poker machines

The Northern Beaches council area had 2,035 poker machines at 38 clubs and hotels in 2025, 7.5 for every 1,000 residents (NSW 10.2). The machines made $156.6M in net profit, $574 for each resident (NSW $1,088).

Clubs and hotels in 2025

Net profit is what the machines kept after paying out prizes, before gaming tax. Venues' takings include visitors, so this isn't what the area's own residents lost. Figures per resident divide by everyone who lives here, not only adults. Hotel years run January to December and club years December to November, a month apart.

2025ClubsHotelsBothNSW
Venues2414382,125
Machines1,6623732,03588,019
Machines per 1,000 residents6.11.47.510.2
Net profit$109.8M$46.8M$156.6M$9.35bn
Net profit per resident$403$172$574$1,088

Source Liquor & Gaming NSW gaming machine reports 21

Net profit per resident

2017–2026 · 2026 is to June (clubs to May) · a year when a report combined this council shows the combined area's rate

ClubsHotelsNSW that year

Source Liquor & Gaming NSW gaming machine reports 21

Machines per 1,000 residents

2017–2026 · 2026 is to June (clubs to May)

Northern BeachesNSW

Source Liquor & Gaming NSW gaming machine reports 21

§Sources

Where every number comes from

  1. ABS Census of Population and Housing 2021, General Community Profile for NSW Local Government Areas. Residents, age, household income, mortgages, tenure and dwelling type, for the council area as ABS publishes it. CC BY 4.0.
  2. NSW Valuer General, Property Sales Information, each sale placed at its G-NAF address. Market sales, 2001 to 2 November 2026, one price per dealing, under the suburb figures' rules (no bulk, part or nominal sales). A sale counts in the council its address is in; sales that matched no address, about one in ten, and the few spanning two councils are left out. Medians need at least 5 sales, growth 20 at both ends. Homes are what VG records as a residence; vacant land and commercial, farm and other property are counted apart. Settlement times go by the year a sale settled, and the latest year is still filling in.
  3. NSW Bureau of Crime Statistics and Research, recorded criminal incidents by LGA (RCI_offencebymonth). BOCSAR's own council table, 2001–2025. Rates per 1,000 residents use the ABS estimated resident population of the same year. CC BY 4.0.
  4. ABS Socio-Economic Indexes for Areas (SEIFA) 2021, Local Government Areas. The council's own scores. Percentiles rank it among the 128 NSW councils; deciles are against all of Australia. CC BY 4.0.
  5. NSW RFS Bush Fire Prone Land, matched to G-NAF addresses. The full certified map (vegetation categories 1–3 and the buffer), every live address tested. © NSW Rural Fire Service 2026, CC BY. A planning designation, not a risk rating.
  6. NSW flood planning areas mapped by LEPs and precinct SEPPs (DPHI), matched to G-NAF addresses. Only councils whose LEP maps a flood planning area, plus Western Sydney precinct maps. Councils have kept their own flood maps since July 2021, so check with the council for the latest. CC BY 3.0 AU.
  7. Australian Bureau of Statistics, Regional Population: estimated resident population by council (LGA 2025), 30 June 2001–2025 (ABS Data API). The ABS's own estimate for the council area of the people who usually live there at 30 June, updated every year from the Census, births, deaths and migration (June 2025 figures, released March 2026). People per km² are over the council's area. Growth is left out where fewer than 100 people lived the year before. CC BY 4.0.
  8. Australian Bureau of Statistics, Data by Region: personal income in Australia (from personal income tax returns, 2018–19 to 2022–23) and Counts of Australian Businesses (30 June 2021–2025), by council (LGA 2021, ABS Data API). The ABS's own figures for the council area. Income counts the residents who lodged a tax return, by where they live; government pensions and allowances are left out, so it differs from the Census household income. Businesses are those registered for GST, counted by the address they give; per 1,000 residents uses the ABS estimated resident population at the same 30 June. CC BY 4.0.
  9. Australian Electoral Commission, House of Representatives results by polling place, and votes by where electors live (SA1), federal elections 2007–2025 (AEC Tally Room). Votes are counted where they are cast, not where voters live, so a place's figures are estimates. For 2019 and 2022 they come from the AEC's count of votes by the SA1 electors live in, which places nearly every vote; for the other elections, each election-day vote is placed at the polling places nearest the homes in its division, shared by their residents (2021 Census), and pre-poll, postal and absent votes can't be placed. So each figure shows the share of its electorates' formal votes it is built from. Two-party-preferred is Labor against the Coalition. Electorates, members and candidates are the AEC's own results for each whole division. © Commonwealth of Australia (Australian Electoral Commission), CC BY 4.0.
  10. NSW Electoral Commission, Legislative Assembly results by polling place (state elections 2015–2023) and local government results by council, ward and mayoralty (2021 and 2024), from its past results site. State figures are estimates, as for federal: each election-day vote is placed at the polling places nearest the homes in its district, shared by their residents (2021 Census), and pre-poll, postal, iVote and absent votes can't be placed, so each figure shows the share of its districts' formal votes it is built from. Two-party-preferred is Labor against the Coalition, from NSWEC's two-candidate count where the final two were Labor and the Coalition; districts where they weren't have no two-party figure. Council results are NSWEC's own counts for each council, ward and mayoralty, not estimates; a council's polling places place it, never its name. Districts, members, councillors and candidates are NSWEC's own results. © State of New South Wales through the NSW Electoral Commission, CC BY 4.0.
  11. Clean Energy Regulator, small-scale installations by postcode, shared out to councils. CER counts systems by postcode only. Each postal area's count is shared between councils by its 2021 dwellings (ABS mesh blocks), so a council's figure is an estimate; per 100 separate houses at the 2021 Census, not growth-adjusted.
  12. NSW Department of Education school intake zones and public schools master dataset (data.nsw.gov.au), matched to G-NAF addresses. Editions of 2 Oct 2026. Every live address is tested against each catchment. Enrolment is the August census (full-time equivalent); ICSEA as the department publishes it. Government schools only. CC BY.
  13. NSW EPI Primary Planning Layers (DPHI): land zoning and heritage items and conservation areas of every LEP and SEPP. Zone shares by land area in ABS 2021 boundaries; heritage shares of G-NAF addresses, each tested at its point. The instrument's map, not legal advice: the instrument and a planning certificate decide what applies to a lot. CC BY 3.0 AU.
  14. Transport for NSW Centre for Road Safety, NSW Crash Data (opendata.transport.nsw.gov.au), placed by each crash's coordinates. Police-reported crashes, reporting years 2016–2025, each year from the newest of the centre's five-year windows that covers it (2016–2020 to 2021–2025; the newest edition of 8 Oct 2026): fatal, injury and towaway crashes, with the road users involved. Rates per 1,000 residents use the ABS estimated resident population averaged over the same years, shown where at least 200 people live. Crash counts follow traffic, so busy roads and centres read high. CC BY.
  15. Revenue NSW, parking and food safety offences by issuing agency, CC BY. Penalty notices issued each financial year, counted by the council that issued them. Parking fines per 1,000 residents use the ABS estimated resident population, and are left blank in a year a council issued fewer than 100; the latest year runs only to the latest month in the files. Value is face value when issued, not what was paid. Fines issued by police, universities, hospitals and other state agencies on state land are no council's and aren't counted, nor in the NSW figure. Food safety counts can include notices with a miscoded offence.
  16. Transport for NSW, Public Transport Accessibility Level (PTAL) by ABS 2021 mesh block (opendata.transport.nsw.gov.au). December 2022–2025 snapshots, each a weekday's timetable (the first Tuesday in December; school buses excluded). TfNSW bands its accessibility index from the walk to nearby stops and how often they are served into levels 1 (low) to 6 (very high); 0 is our code for a mesh block with no service that hour. Averaged over residents (ABS 2021 mesh-block counts) for suburbs, postcodes and councils: a summary, not a level TfNSW publishes. CC BY.
  17. Transport for NSW, vehicle registration statistics by council, CC BY. TfNSW's monthly counts of registered vehicles by council, counted at the customer's address, so a business fleet counts where its customer's address is. We keep each December and the latest month; TfNSW's last two months are provisional. Rates per 1,000 residents use the ABS estimated resident population. TfNSW hides counts under 20, so a council's shares are estimates, scaled to its fleet totals, and less certain in small councils; the fuel, type and make counts leave those rows out. Shares of the light fleet and the average age start with the first December after TfNSW changed how it places vehicles in councils, and the average age runs a year behind the rest. Makes are those TfNSW names.
  18. NSW Department of Planning, Housing and Infrastructure, Greater Sydney Region Tree Canopy to Modified Mesh Block, 2022 and 2024/25 (SEED). Aerial surveys of Greater Sydney's urban and rural areas (ArborCarbon, 0.48 m imagery; the 2022 and 2024/25 surveys share a method). The share of land under vegetation taller than 3 m, summed from DPHI's modified mesh blocks to ABS mesh blocks (those at least half surveyed, with a 2016 code that is also a 2021 one) and weighted by the land surveyed for suburbs, postcodes and councils. CC BY 4.0.
  19. Revenue NSW, duty, first home buyer and land tax statistics by postcode (revenue.nsw.gov.au), data as at 1 October 2026. Financial years to June 2026, each shown once it has ended: first home buyer duty exemptions and concessions from 2009–10, First Home Owner Grant payments from 2021–22 and transfer duty on residential land from 2020–21, each by the postcode on the lodged transfer or the grant. Exemptions are counted at lodgement and grants at payment, so the two don't match; duty is the amount paid, not a count of sales. Suburb and council figures are estimates, shared out from postcodes by their 2021 dwellings (ABS mesh blocks). CC BY.
  20. Land value summaries, Valuer General NSW: each council's summary at the 1 July 2025 valuation. The Valuer General's own council figures: total land value by zone at 1 July 2025 and 2024, and the median residential land value each year from 2021 beside the median residential sale price. Land values are for rates and land tax and value the land alone. No licence is stated on the pages.
  21. Liquor & Gaming NSW, gaming machine reports, © State of New South Wales, CC BY 4.0. Net profit, machines and venues for clubs and hotels, by council and by venue, from December 2016. Machines are authorised machines at a year's last report, and can include machines in storage. Small councils are reported together with neighbours, and those groups change between reports: a council with a combined report has no net profit in dollars of its own, and its figure per resident is worked out over the residents of the councils in each report (ABS estimated resident population). Machines and venues are each council's own, summed from the venue reports. Hotel years run January to December and club years December to November.
  22. Bowerbird estimate, modelled from Liquor & Gaming NSW's gaming machine reports, © State of New South Wales, CC BY 4.0. Our estimate of each club's and hotel's net profit from its machines, before gaming tax, from 2017 (suburbs from 2021). Liquor & Gaming NSW publishes each venue's rank by net profit and its machines, and dollars only by council; the model fits the ranks to the council totals and adds the venues up by the postcode and council the rankings give and the suburb the premises list places them in. It isn't a published figure, and this release has a range for a venue (the map's venue card) but none for an area: on council rows held back, its median error is under 1%, and where clubs' own accounts were reported, most read 5% to 12% below it. A venue with a loss reads as a small profit. Takings include visitors. The latest year is a part year.
  23. Liquor & Gaming NSW, licensed premises list, each October from 2021, © State of New South Wales, CC BY 4.0. Licences with premises people go to, placed by the list's own coordinates. Limited licences, pop-ups, producers and delivery-only businesses aren't counted, nor are venues that have stopped trading for six weeks or more. Hours tiers are what a licence allows, not when a venue opens. The list's licensees aren't shown.
  24. ABS Australian Statistical Geography Standard: LGAs 2021 and 2025, suburbs and localities, postal areas. Councils are their LGA 2021 areas, named as ABS LGA 2025 names them: in NSW every 2021 council is the same area in 2025, and 14 have a shorter name. Boundaries CC BY 4.0.
  25. Bureau of Health Information. Healthcare Quarterly: Ambulance. Sydney (NSW); BHI. Free to use for non-commercial purposes with BHI acknowledged. NSW Ambulance responses and incidents by financial year, and emergency (category 2) response times for the latest quarter, as BHI reports them by ABS statistical area (SA3). A suburb, postcode or council takes the figures of the SA3 around it, so they are the wider area's, not its own. Rates per 1,000 residents use the SA3's ABS estimated resident population. NSW Ambulance changed its response grid in February 2025, so responses either side of it don't strictly compare.
  26. NSW flood studies (Hawkesbury-Nepean 2024; Ku-ring-gai; Parramatta). NSW Reconstruction Authority, Hawkesbury-Nepean River Flood Study 2024, CC BY 4.0; Ku-ring-gai Council flood studies (Hydrology), CC BY 4.0; City of Parramatta flood mapping, used under the council's terms (non-commercial use). Matched to G-NAF addresses. Each study says only what it modelled.
  27. NSW Flood Data Portal council flood studies. Flood studies from the NSW Flood Data Portal (NSW SES), CC BY 4.0: Georges River Council, Kogarah Bay Creek Flood and Overland Flow Study; Camden Council, Update of Narellan Creek Flood Study; Hawkesbury City Council, Hawkesbury Floodplain Risk Management Study and Plan 2025; Fairfield City Council, Canley Corridor Floodplain Risk Management Study; Campbelltown City Council, Campbelltown Southern Catchments Flood Study; Blue Mountains City Council, Bullaburra to Linden Floodplain Risk Management Study and Plan; Northern Beaches Council, Greendale Creek Flood Study. Matched to G-NAF addresses. Each study says only what it modelled.
  28. Australian Bureau of Statistics, Building Approvals, Australia, CC BY 4.0: dwelling units and the value of building work approved by council (ABS Data API). The ABS's own council figures: dwelling units approved each month from July 2021, by councils and private certifiers (new houses, townhouses and apartments, and the dwellings alterations create), and the value of residential and non-residential building work approved, added up by financial year to June. An approval is what may be built, not what was. Per 1,000 residents divides by the ABS estimated resident population at the start of the year. Original series, not seasonally adjusted.
  29. © State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW) 2026, StrataHub strata plans. The register of strata schemes as at 3 November 2026, each placed through its plan number or footprint at its G-NAF addresses and counted where most of them are. Lots include the garages, storerooms and shops a plan makes lots of; the share of addresses counts a scheme's units and common property. Ages and eras date each scheme's registration, not its building. A scheme that has been wound up leaves the register. Creative Commons (no version stated).
  30. NSW Department of Communities and Justice, Rent and Sales Report, from NSW Fair Trading bond lodgements, © State of New South Wales (Department of Communities and Justice), CC BY 4.0. Rents on the new bonds lodged each quarter since September 2017, by council: DCJ places each bond at its home's address, so these are the council's own figures, not shared out from postcodes. A figure needs more than 10 bonds; the headline figures and the chart need 31 or more. New leases only, so not what every renter pays.

Every council figure is computed from its source at council level, not from its suburbs' figures. ATO incomes are published by postcode only and a median can't be shared out, so this page leaves them off: the Census 2021 household income stands in. Its rents are NSW Communities and Justice's own council figures, which place each new bond at its home's address. A suburb belongs to the council its centre falls in; suburb figures are the suburb pages' own.

Councils bordering Northern Beaches

Every NSW suburb, A to Z · Every postcode · Every council area