NXS-GRX-AUS · Australia and New Zealand · Regions

Victoria

First-level unit, Australia: people, area, the units inside and neighbours, with risk values when released.

Page GRX-AUS-REdition Baseline Edition 2026Evidence close 2026-09-30ISO AUS / AUStatus UN member stateValues not yet publishedMethod v1.0.0-draft
6,932,954
people (GHSL 2025)
227,444 km²
area
27.1%
of Australia
80
units inside
01Map

Inside Victoria

The 80 ADM2 units of Victoria.

FIG 1 · 80 units inside Victoria
Loading the map
Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Select a unit to drill into the units inside it; the path above the map climbs back.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

People · GHSL 2025

6,932,954

27.1% of Australia.

People · WorldPop 2025

6,858,617

-1% against GHSL; the two grids differ in method.

Area

227,444 km²

30 people per km².

Code

AU-VIC

Subdivision code as carried by the boundary source.

Low coastal zone

324,236

people on land at or below 10 m, 4.7% of the unit (GEBCO 2024 and GHSL 2025).

03Units

80 units inside Victoria

Each unit has its own page.

Boundary licences: Creative Commons Attribution 4.0 International (CC BY 4.0)

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
Alpine–13,60113,4874,786.0830.2%0
Ararat–10,60011,4454,209.2330.1%0
Ballarat–113,701114,736738.811541.6%0
Banyule–85,89284,87262.41,3761.2%0
Bass Coast–30,33038,303866.19350.4%2,956
Baw Baw–57,96165,9454,024.74140.8%0
Bayside (Vic.)–118,484121,50937.383,1701.7%502
Benalla–13,94013,7842,352.4860.2%0
Boroondara–237,487234,77960.283,9403.3%0
Brimbank–302,918207,367123.532,4524.3%0
Buloke–5,7805,5127,996.5910.1%0
Campaspe–32,66633,9854,518.3270.5%0
Cardinia–129,626124,6381,281.831011.8%6,231
Casey–425,109421,894408.751,0406%4,347
Central Goldfields–12,24713,0381,532.4880.2%0
Colac Otway–19,62220,3133,435.6460.3%8
Corangamite–16,60914,7114,403.6540.2%56
Darebin–129,312129,31153.232,4291.8%0
East Gippsland–43,88944,94620,940.1420.6%9,825
Frankston–146,716152,542130.271,1262.1%16,332
Gannawarra–8,5739,0793,737.4520.1%0
Glen Eira–166,073156,70538.884,2712.3%0
Glenelg–17,35017,2726,216.9530.2%631
Golden Plains–29,48130,2212,702.13110.4%0
Greater Bendigo–117,830125,7472,998.57391.7%0
Greater Dandenong–154,736166,962129.561,1942.2%1,931
Greater Geelong–236,621282,6941,248.11903.3%30,477
Greater Shepparton–65,95567,2832,421.18270.9%0
Hepburn–16,24817,9291,471.8110.2%0
Hindmarsh–5,4375,2077,522.4910.1%0
Hobsons Bay–73,44247,04264.291,1421%46,382
Horsham–18,80719,3654,264.9940.3%0
Hume–265,128331,856504.35263.7%0
Indigo–16,28816,6192,039.4580.2%0
Kingston (Vic.)–150,071139,29091.671,6372.1%51,330
Knox–142,165137,472113.721,2502%0
Latrobe (Vic.)–73,23469,5111,424.72511%182
Loddon–7,0057,6676,695.5910.1%0
Macedon Ranges–48,92252,5111,747.32280.7%0
Manningham–160,820165,984113.61,4162.3%0
Mansfield–9,24410,8173,842.8420.1%0
Maribyrnong–126,826129,22531.264,0571.8%2,983
Maroondah–120,833123,29461.371,9691.7%0
Melbourne–264,597266,38437.337,0883.7%75,673
Melton–254,346205,856526.994833.6%0
Mildura–47,36449,73522,086.0920.7%0
Mitchell–45,76557,2232,860.78160.6%0
Moira–26,89026,0824,047.1570.4%0
Monash–216,455220,86581.222,6653%0
Moonee Valley–148,859138,90242.923,4682.1%13,631
Moorabool–45,64839,2092,109.02220.6%0
Moreland–271,996256,08750.865,3483.8%0
Mornington Peninsula–126,482126,713724.581751.8%9,623
Mount Alexander–19,59020,5721,529.85130.3%0
Moyne–18,33518,0485,478.9330.3%2,751
Murrindindi–13,41014,7923,877.6330.2%0
Nillumbik–81,22481,313431.671881.1%0
Northern Grampians–11,23410,9645,727.8820.2%0
Port Phillip–79,07369,05320.863,7911.1%17,675
Pyrenees–6,8227,9093,432.8120.1%0
Queenscliffe–1,4491,8188.871630%0
South Gippsland–30,02629,1843,294.7190.4%1,569
Southern Grampians–15,92315,4486,651.1320.2%0
Stonnington–112,267102,57225.314,4361.6%0
Strathbogie–9,87211,3253,301.830.1%0
Surf Coast–32,94340,4381,552.7210.5%1,165
Swan Hill–14,31214,8686,117.8120.2%0
Towong–6,5955,9226,674.110.1%0
Unincorporated Vic–588703281.9220%18
Wangaratta–27,75729,6933,645.7880.4%0
Warrnambool–31,29531,928121.232580.4%6,056
Wellington–43,12344,28510,810.240.6%11,281
West Wimmera–4,0773,5069,103.9700.1%0
Whitehorse–132,636138,76464.312,0621.9%0
Whittlesea–248,889289,118489.435093.5%0
Wodonga–42,26045,770433.2980.6%0
Wyndham–459,731375,877542.578476.5%24,974
Yarra–66,40569,47319.633,3830.9%0
Yarra Ranges–170,655169,7152,467.25692.4%0
Yarriambiack–6,6035,4957,325.7810.1%0
04Exposure

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
2,663 H3 cells
Ports
3 H3 cells
Airports
1 H3 cells
Major roads
5,782.9 H3 cells
Railways
5,335.9 H3 cells
Rivers and lakes
516.5 H3 cells
05Risk

Risk values

Values when released. Subnational risk values for Victoria publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Australia.
06Neighbours

Neighbouring units

07Sources

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen AUS ADM1, source: Australian Bureau of Statistics, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2021
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen AUS ADM2, source: Australian Bureau of Statistics, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2022
Basemap
OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
Terrain
Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
People
GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
Countries
Natural Earth (public domain).
Elevation
GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
Position
Boundaries are shown for location only and take no position on any boundary, name or status.
The Global Risks Index

Indicators · sources · country profiles

Not for profit

Our articles, maps and twins are free to read and free to republish. Readers and partners keep it that way.

Support our work

Who funds us

The Index is a not-for-profit institution. To ask who funds a piece of work, use the funding questions form.

Independence

Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.

Licence

Articles: CC BY 4.0. Figures, maps, twins and data: CC BY 4.0. Other uses: ask through the permissions form.