NSW/Councils/Snowy Monaro·LGA 17040

Snowy Monaro

Council area115 suburbs10 postcodes21,666 residents (2021)15,165 km²

ABS 2021 name: Snowy Monaro Regional

Suburbs: Cooma·Jindabyne·Bombala·Berridale·East Jindabyne·Michelago·Moonbah·Thredbo·Bredbo·Adaminaby·+ 105 more

Postcodes: 2630·2627·2632·2628·2629·2625·2631·2620·2626·2633

The short version

The Snowy Monaro council area takes in 115 suburbs, from Cooma and Jindabyne to Tombong, home to 21,666 people at the 2021 Census1. Homes sold for a median $670k in 2025 across 491 sales2, up 158% on ten years ago, higher than 50% of NSW councils (all NSW: $943k).

Police recorded 52.2 incidents per 1,000 residents in 20253, 21% below the NSW rate (lower is better). On the ABS index of advantage it sits in the 71st percentile of NSW councils4, and its median household earned $1,593 a week in 2021. 53% of its addresses are on mapped bush fire prone land5.

Loading boundary…
Median sale price, 2025
$670k
491 sales · higher than 50% of NSW councils

NSW Valuer General sales 2

Recorded crime, 2025
52.2
per 1,000 residents · 21% below NSW (66) · lower is better

BOCSAR recorded crime 3

Socio-economic advantage
71st
percentile among NSW councils (SEIFA IRSAD, decile 8 in Australia)

ABS SEIFA 2021 4

Homes on bush fire prone land
53%
of addresses · no flood map to check

NSW RFS bush fire prone land 5

01Prices

What do homes sell for across the Snowy Monaro council area?

Homes in the Snowy Monaro council area sold for a median $670k in 2025 across 491 sales, against $943k for every NSW sale together: higher than 50% of NSW councils. The median is up 158% 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
$670kall dwellings
Houses
$650k2025
Units
$745k2025
Sales in 2025
491
5-year growth
+74%
10-year growth
+158%

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 · 42 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 · 2.4% 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: $420k median across 53 sales, $317 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 · 1,088 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: 51 sales, median $1.2M

Source NSW Valuer General sales 2

Renting

New leases in the Snowy Monaro council area went for a median $600 a week in April to June 2026, against $720 across NSW. That's 1.3% less than a year earlier.

Median, Apr–Jun 2026
$600a week · NSW $720
Houses
$600NSW $700
Units
$550NSW $730
2-bed unit
$550NSW $750
3-bed house
$600NSW $660
New bonds
286in 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$600$443–1,038$600$413–988$550$443–943$1,320†$900–1,563
1 bed$281$270–500$270$270–270$500†$400–673–
2 beds$500$420–900$500$423–735$550$410–935–
3 beds$675$510–1,540$600$510–1,425$765†$489–1,488–
4+ beds$1,025$728–1,875$975$705–1,875––

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

349 strata schemes are registered in the Snowy Monaro council area, with 2,097 lots between them, and 13% of its addresses are in one (NSW 25%). They were registered 24.5 years ago on average (NSW 29.1), which dates the scheme, not always its building.

Strata schemes
349
Strata lots
2,097
Addresses in a scheme
13%NSW: 25%
Average scheme age
24.5years 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 19740.6%
1973 Act · 1974–9743%
1996 Act · 1997–201629%
2015 Acts · since 201628%

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

72 dwellings were approved in the Snowy Monaro council area in 2025–26, 3.2 for every 1,000 residents (NSW 6.1): 42 houses and 30 other dwellings, such as townhouses and apartments. The building work approved was worth $46M for homes and $39M 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
72
Per 1,000 residents
3.2NSW: 6.1
Houses
42
Other dwellings
30townhouses, apartments
Residential work
$46Mvalue approved
Non-residential work
$39Mvalue 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 Snowy Monaro council area at $7.99bn, down 13% on a year before. Residential land makes up $2.94bn of it (37%). The median residential land value in 2025 was $249,000, 42% of the median residential sale price.

Land value by zone, 1 July 2025

Every property's land value, totalled by its zone

Residential$2.94bn
Commercial$167M
Industrial$121M
Rural$3.97bn
Other zones$795M

Total $7.99bn, against $9.19bn at 1 July 2024 (−13%)

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$148k · 35%
2022$243k · 42%
2023$276k · 50%
2024$289k · 53%
2025$249k · 42%

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 96 first home buyers in the Snowy Monaro council area were let off transfer duty or paid less under a NSW first home buyer scheme, up from 87 the year before. That's 0.3% 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 $17.6M, 0.2% 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 (0.3%)

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 (0.2%)

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 (0.2%)

NSW, 2025–26: $10.6bn

Against NSW2020–212025–26Change
Duty here (estimate)$13.9M$17.6M+27%
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 Snowy Monaro council area?

The Snowy Monaro council area takes in 115 suburbs across 10 postcodes.

Every suburb in the council

Most residents first · each links to its own page

SuburbResidentsMedian, 2025Sales10 yearsCrime per 1,000, 2025Advantage
Cooma6,715$557k184+125%62.127th
Jindabyne2,986$920k100+276%73.367th
Bombala1,372$420k24+152%50.214th
Berridale1,300$625k45+185%36.335th
East Jindabyne1,067$1.19M24+144%19.784th
Michelago642$1.1M9–24.186th
Moonbah564$1.53M11–9.974th
Thredbo405–––132.567th
Bredbo392$447k8–32.655th
Adaminaby339$569k8–119.328th
Binjura339$888k6–11.382nd
Nimmitabel324$380k17–45.511th
Delegate295$353k6–62.311th
Kalkite294$998k6–25.965th
Numeralla254–3–19.632nd
Dalgety252–3–21.427th
Crackenback213$1.28M15–8.684th
Bunyan192–1–4.956th
Dairymans Plains183–0––70th
Avonside157–3––79th
Colinton115–2––85th
Hill Top115–0––79th
Cootralantra107–3––61st
Ingebirah93–3––76th
Jerangle90–0––68th
Chakola88–0––56th
Shannons Flat87–3––78th
The Angle86–1––82nd
Bibbenluke82–1––18th
Murrumbucca82–1––56th
Bungarby80–1––68th
Anglers Reach78$460k6––63rd
Coolringdon73–1––84th
Rock Flat73–0––82nd
Anembo72–2––66th
Rocky Plain69–1––61st
Tinderry59–2––66th
Glen Allen55–0––18th
Mila55–0––44th
Ando49–2––18th

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: Wambrook, Winifred, Burrungubugge, Numbla Vale, Peak View, Dry Plain, Old Adaminaby, Middle Flat, Jimenbuen, Jingera, Rhine Falls, Countegany, Creewah, Clear Range, Grosses Plain, Springfield, Lords Hill, Rose Valley, Bolaro, Pine Valley, The Brothers, Carlaminda, Craigie, Eucumbene, Kybeyan, Bobundara, Gunningrah, Palarang, Rosemeath, Steeple Flat, Nimmo, Corrowong, Paddys Flat, Tuross, Maffra, Middlingbank, Rockton, Arable, Buckenderra, Beloka, Greenlands, Quidong, Yaouk, Smiggin Holes, Boco, Braemar Bay, Glen Fergus, Coolumbooka, Polo Flat, Cambalong, Merriangaah, Frying Pan, Paupong, Holts Flat, Jincumbilly, Badja, Bukalong, Mount Cooper, Billilingra, Dangelong, Creel Bay, Myalla, Bumbalong, Bondi Forest, Byadbo Wilderness, Gooandra, Ingeegoodbee, Ironmungy, Long Plain, Perisher Valley, Providence Portal, Snowy Plain, Tantangara, Tolbar, Tombong.

Partly in the council (share of the suburb's addresses): Cathcart 96%, Williamsdale 59%, Burra 12%.

Its postcodes

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

263033%
262728%
263210%
26289.9%
26293.8%
26253.7%
26313.6%
26203.0%
26262.0%
26332.0%

Source ABS ASGS 2021 and LGA 2025 24

03People

Who lives in the Snowy Monaro council area?

On income, education, jobs and housing together, the Snowy Monaro council area scores 991 on the ABS index of advantage, higher than 70% of NSW councils. Its median household earned $1,593 a week at the 2021 Census.

SEIFA 2021 deciles

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

Advantage and disadvantageIRSAD8
DisadvantageIRSD · higher = less disadvantaged8
Economic resourcesIER8
Education and occupationIEO7

Among NSW councils it sits in the 71st percentile on IRSAD.

Source ABS SEIFA 2021 4

Census 2021 profile

Residents (2021)
21,666
Median age
43
Aged 65 and over
19.8%
Median household income
$1,593 a week
Households renting
24.3%
Social housing
0.8%
Owned outright
40.9%
With a mortgage
31.6%
Median mortgage (2021)
$1,500 a month
Flats and apartments
6.9%
People per km²
1.4

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 22,396 people lived in the Snowy Monaro council area at 30 June 2025, up 0.4% on a year earlier, against +1.2% across NSW. That's 1,923 more people than in 2015 (+9.4%).

Residents, June 2025
22,396estimated
Growth, year to June 2025
+0.4%NSW +1.2%
Since June 2015
+9.4%+1,923 people
People per km²
1.5NSW 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

Snowy Monaro grewshrankNSW that year

Source ABS Regional Population 7

Income

The Census counts households' income once in five years ($1,593 a week in 2021); the ABS's yearly figure from tax returns counts each person's. Residents of the Snowy Monaro council area who lodged a tax return had a median income of $52,872 in 2022–23, against $58,909 across NSW. That's 20.1% more than in 2018–19 (NSW +19%). For 77.7%, most income came from wages and salaries.

Median income, 2022–23
$52,872NSW $58,909
Since 2018–19
+20.1%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

Snowy MonaroNSW

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
$54,958
Own businessNSW $12,714
$7,863
InvestmentsNSW $240
$232
Super and annuitiesNSW $26,108
$30,391

Source ABS Data by Region 8

04Elections

How did the Snowy Monaro council area vote?

Federal elections

At the 2025 federal election, the two-party-preferred vote in the Snowy Monaro council area split an estimated 50.1% Labor to 49.9% Coalition, against 55.3% to 44.7% across NSW. That's a swing of 3.2 points to the Coalition 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 37% 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
50.1%NSW 55.3%
Swing to Labor since 2022
−3.2 ptsNSW +3.9 pts
Informal votes
5.9%NSW 8.1%
Built from
37%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

Snowy MonaroNSW50%, level

Votes each estimate is built from: 2007 78% · 2010 71% · 2013 62% · 2016 58% · 2019 100% · 2022 100% · 2025 37%

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

Its federal electorate, 2025

The division its residents vote in · the AEC's own count for the whole division, not an estimate

Eden-Monaro

Elected: Kristy McBAIN (Labor)

Final count, two candidates

Kristy McBAINLabor57.2%
Jo van der PLAATLiberal42.8%
First preferences, 8 candidates
Kristy McBAINLabor43.0%
Jo van der PLAATLiberal31.9%
Emma GOWARDThe Greens10.0%
Richard GRAHAMPauline Hanson's One Nation7.0%
Wade Ewart COXTrumpet of Patriots2.4%
Andrew Evan THALERIndependent2.3%
Fraser BUCHANANHEART Party1.8%
Brian FISHERIndependent1.6%

121,376 enrolled · 107,088 formal votes · 6.0% 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, the two-party-preferred vote in the Snowy Monaro council area split an estimated 44.9% Labor to 55.1% Coalition, against 54.9% to 45.1% across NSW. That's a swing of 11.9 points to Labor since 2019 (across NSW, 5.7 points to Labor). Like every figure here, it's estimated from the polling places where votes were cast, not where voters live: built from 47% 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

Labor, two-party-preferred
44.9%NSW 54.9%
Swing to Labor since 2019
+11.9 ptsNSW +5.7 pts
Informal votes
2.9%NSW 3.3%
Built from
47%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

Labor's two-party-preferred share

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

Snowy MonaroNSW50%, level

Votes each estimate is built from: 2015 60% · 2019 55% · 2023 47%

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

Its state electorate, 2023

The district its residents vote in · the NSW Electoral Commission's own count for the whole district, not an estimate

Monaro

Elected: Steven WHAN (Australian Labor Party (NSW Branch))

Final count, two candidates

Steven WHANAustralian Labor Party (NSW Branch)52.3%
Nichole OVERALLNational Party of Australia - NSW47.7%
First preferences, 7 candidates
Nichole OVERALLNational Party of Australia - NSW39.1%
Steven WHANAustralian Labor Party (NSW Branch)38.1%
Jenny GOLDIEThe Greens NSW7.7%
Chris PRYORShooters, Fishers and Farmers Party (NSW) Incorporated6.1%
Andrew THALERIndependent3.6%
Josie TANSONLegalise Cannabis NSW Party3.4%
James HOLGATESustainable Australia Party - Stop Overdevelopment / Corruption1.9%

59,514 enrolled · 50,856 formal votes · 2.5% 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, Independents took the most first preferences for councillor in the Snowy Monaro council area, 82.1%, and of the 11 councillors elected, Independents 9 and Labor 2. 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

Independents 9 · Labor 2

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 Independents 8 · Labor 2 · Greens 1
  • 2024 Independents 9 · Labor 2

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

Its 2024 council election

Councillors elected across the whole council · the NSW Electoral Commission's own counts

Snowy Monaro Regional Council

Elected: Luke WILLIAMSON (IND), Andrew THALER (IND), Christopher HANNA (IND), Tricia HOPKINS (IND), Tanya HIGGINS (Labor), Lynda SUMMERS (Labor), Reuben ROSE (IND), John ROONEY (IND), Bob STEWART (IND), Nick ELLIOTT (IND), Narelle DAVIS (IND)

First preferences, 67 candidates
Group E — LABORabove the line14.1%
Group Cabove the line13.4%
Group Habove the line11.2%
Group Fabove the line9.7%
Group Aabove the line9.5%
Group Gabove the line4.3%
Christopher HANNAIND3.9%
Group Babove the line3.5%
Narelle DAVISIND3.0%
Lynley MINERSIND2.7%
Bob STEWARTIND2.5%
Luke WILLIAMSONIND2.4%
Craig MITCHELLIND2.0%
Vickie POLLARDIND1.7%
Tanya HIGGINSLabor1.6%
Maree STEVENSONIND1.5%
Peter BEERIND1.5%
Mathieu NOLTEShooters, Fishers And Farmers1.2%
Reuben ROSEIND1.2%
Andrew THALERIND1.0%
Nick ELLIOTTIND0.8%
James GILBERTIndependent0.8%
Karlee JOHNSONIND0.7%
John ROONEYIND0.5%
Rachelle EDWARDSIND0.4%
Nicholas KOPIEVSKYIND0.4%
Kylie PHILLIPSLabor0.3%
Bernie McDONALDIND0.3%
Tricia HOPKINSIND0.3%
Vele CIVIJOVSKIIND0.3%
Lionel HARRISIND0.2%
Mick NEWMANIND0.2%
Lynda SUMMERSLabor0.2%
Cindy CHAWNERIND0.2%
Bill WALKERLabor0.2%
Barry BRIDGESIND0.2%
Anthony GARVINLabor0.2%
Dave CHATTERTONIND0.1%
Penny JUDGELabor0.1%
Megan DOWNIEIND0.1%
Katherine CORBETTIND0.1%
Sidonie CARPENTERIND0.1%
Oliver MORANIND0.1%
Suzanne BATEIND0.1%
Anna LUCASIND0.1%
Stuart MCKENZIEIND0.1%
Michael FREEMANIndependent0.1%
Kylie PASKEIND0.1%
Cathy INGRAMIND0.1%
Anne O'LEARYIND0.1%
Adrian LJUBICIND0.1%
Catherine TURNBULLIND0.1%
Richard MURPHYIND0.1%
Malcolm BRUCEIND0.1%
Hamish WILLIAMSONIND0.1%
Charles KOLANOIND0.1%
Allen SIMPSONIndependent0.1%
Jeremy MEEKSIND0.1%
Chris CHANIND0.0%
Shawn JOYNTIND0.0%
Faye SIMPSONIndependent0.0%
Nicolaas LUNTUNGANIND0.0%
Bernard ROONEYIND0.0%
Fiona FOSTERIND0.0%
Michael DOWNIEIND0.0%
Guy PALFRAMANIND0.0%
Michal CHOTARIND0.0%

11,547 formal votes · 7.1% 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 Snowy Monaro council area?

Police recorded 52.2 incidents per 1,000 residents in the Snowy Monaro council area in 2025, 21% below the NSW rate (66; lower is better): lower than 73% of NSW councils.

Recorded crime per 1,000 residents

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

Snowy MonaroNSW (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 crime0.7× NSW

8.2NSW 11.2 · 183 incidents

Property crime0.6× NSW

12.9NSW 21.2 · 288 incidents

Domestic violence assault0.6× NSW

2.7NSW 4.4 · 61 incidents

Home break-ins0.6× NSW

1.3NSW 2.1 · 28 incidents

Vehicle theft0.4× NSW

2.1NSW 4.7 · 46 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 657 crashes in which someone was killed or injured in the Snowy Monaro council area over 2016–2025, about 66 a year; 136 of them were fatal or caused a serious injury. That's 3.1 a year per 1,000 residents, 1.8 times the NSW rate (1.7; lower is better). 62% 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 · 657 over 2016–2025, and 376 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
3.11.8× the NSW rate (1.7) · lower is better
Fatal or serious-injury crashes
136
People killed
40
Involving a pedestrian
15crashes
Involving a cyclist
5crashes
Involving a motorcycle
145crashes

Source TfNSW NSW Crash Data 14

Streets with the most casualty crashes

Within the Snowy Monaro council area, 2016–2025

Monaro Highway201 casualty crashes · 43 fatal or serious201
Snowy Mountains Highway98 casualty crashes · 21 fatal or serious98
Kosciuszko Road79 casualty crashes · 16 fatal or serious79
Alpine Way28 casualty crashes · 4 fatal or serious28
Barry Way23 casualty crashes · 2 fatal or serious23
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 417 parking fines in 2025–26, 18.6 for every 1,000 residents of the Snowy Monaro council area (NSW councils together: 150.6), with a face value of $128k. It issued no 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
417
Per 1,000 residents
18.6NSW councils: 150.6
Their face value
$128k
Food safety fines, 2025–26
0

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 260.6 times for every 1,000 residents of the area around the Snowy Monaro council area (NSW 182.2). In April to June 2026, half of its emergency calls were reached within 15.9 minutes and nine in ten within 43.1 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

Snowy Monaro'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
15.9minutes · NSW 14
Nine in ten reached within
43.1minutes · NSW 33
Ambulances sent per 1,000, 2025–26
260.6NSW 182.2
Incidents per 1,000, 2025–26
189.4NSW 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 Snowy Monaro council area, and how many homes run on solar?

53% of addresses in the Snowy Monaro council area fall on mapped bush fire prone land. We have no flood map for it, so we can't say whether it floods.

Addresses on bush fire prone land

By RFS category · 99% 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 planning area

No flood map for this council.Its LEP doesn't map flood land, and its flood studies aren't in our data, so we can't check it. That's a gap in our data, not a sign it doesn't flood.

Rooftop solar (estimate)

Solar systems per 100 houses
57.5
Home batteries per 1,000 dwellings
57.7
The Clean Energy Regulator counts systems by postcode only, so each postcode's systems are shared out by its homes: an estimate, 84% of it from postcodes wholly inside the council. On that basis it is lower than 63% 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

07Schools & planning

Where are the schools in the Snowy Monaro council area, and how is the land zoned?

The Snowy Monaro council area has 13 government schools, and its middle home is 1.8 km in a straight line from its local primary school. Most of its homes are zoned RU1 Primary Production.

Government schools

Schools in the council
13
To the local primary school
1.8km
To the local high school
3.8km
Zoned for a primary school with ICSEA 1,100+
0%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: RU1 Primary Production

Source NSW EPI zoning and heritage maps 13

Heritage

Homes on a heritage item or in a heritage conservation area: 5.9% in all · 2.7% 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 Snowy Monaro council area?

At 8–9am on a weekday, no resident of the Snowy Monaro council area lives where public transport access is good (TfNSW level 4, medium–high, or better); across NSW 33% do. Their average level is 0.1 of 6 (no service), below NSW's 2.6 (higher is better). 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

Snowy Monaro 0.1NSW 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

Snowy MonaroNSW

Average level by December: 2022 0 · 2023 0.2 · 2024 0 · 2025 0.1

Source TfNSW PTAL 16

Vehicles

The Snowy Monaro council area had 954 registered vehicles for every 1,000 residents in December 2025 (NSW 737). 0.8% of its cars, four-wheel drives and light goods vehicles were battery electric (NSW 1.8%), and battery electric light vehicles grew 2.99× between December 2023 and October 2026.

Vehicles per 1,000 residents, 2025
954NSW 737
Motorcycles per 1,000, 2025
47.1NSW 32
Trucks and buses per 1,000, 2025
72.8NSW 32.5
Hybrid share of the light fleet, 2025
2.3%NSW 5.0%
Ute share of the light fleet, 2025
36.3%NSW 16.4%
Average age of passenger vehicles, 2025
12.5years · 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

Snowy MonaroNSW

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 electric241
Plug-in hybrid72
Hybrid529
Petrol8,952
Diesel8,715
Other fuels99

Source TfNSW vehicle registrations, CC BY 17

Every vehicle by type

October 2026.

Cars7,566
Four-wheel drives3,791
Utes and vans7,370
Trucks and buses1,683
Motorcycles1,073
Trailers and caravans8,714

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.

Toyota4,682
Ford1,958
Subaru1,774
Mitsubishi1,383
Holden1,299

Source TfNSW vehicle registrations, CC BY 17

Registered for business use

Share of vehicles, 2025
14.8%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 Snowy Monaro council area?

2,913 businesses registered for GST had an address in the Snowy Monaro council area at 30 June 2025, 130 for every 1,000 residents (NSW 107). 5.6% turn over $2 million or more a year, against 8.8% across NSW. Compared with NSW, more of them are in agriculture, forestry and fishing and accommodation and food.

Businesses, June 2025
2,913registered for GST
Per 1,000 residents
130NSW 107
Turning over $2m+
5.6%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

Agriculture, forestry, fishing27%
Accommodation and food9.3%
Mining0.2%
Construction18%
Retail trade5.6%
Electricity, gas, water0.3%
Education and training1.5%
Arts and recreation1.2%
Manufacturing2.6%
Other services3.7%
Admin and support3.7%
Media and telecoms0.7%
Rental and real estate7%
Wholesale trade1.9%
Professional services7.9%
Transport and warehousing4.1%
Health care and social help3.7%
Public administration0.1%
Finance and insurance1.3%
Snowy MonaroNSW share

Source ABS Data by Region 8

Going out

The Snowy Monaro council area had 143 licensed venues on October 2026's list, 6.4 for every 1,000 residents (NSW 1.7): 21 hotels, 11 clubs, 3 small bars, 93 restaurants and other on-premises venues and 15 bottle shops. 19 are licensed past midnight. That's down from 152 in 2021.

Venues per 1,000 residents

October lists, 2021–2026

Snowy MonaroNSW

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 Snowy Monaro council area had 216 poker machines at 12 clubs and hotels in 2025, 9.6 for every 1,000 residents (NSW 10.2). The machines made $13.3M in net profit, $595 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
Venues75122,125
Machines1625421688,019
Machines per 1,000 residents7.22.49.610.2
Net profit$9.3M$4.03M$13.3M$9.35bn
Net profit per resident$415$180$595$1,088

Source Liquor & Gaming NSW gaming machine reports 21

Net profit per resident

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

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)

Snowy MonaroNSW

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. 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.
  27. © 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).
  28. 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 Snowy Monaro

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