How is Clothing "population per store" calculated?

We divide the resident population of each statistical area (State, Greater Capital City, SA4 or SA3) by the number of Clothing locations operating in that area. A lower number means a denser store network — fewer residents serviced by each store.

Where does the Clothing location data come from?

AreaSearch maintains a verified inventory of every Clothing location in Australia with a fixed, publicly-listed trading address. Records are sourced from operator websites, public store directories, leasing schedules, council data, industry associations and first-party verification. Every location is geocoded to a precise latitude / longitude and assigned to its ABS statistical area.

What is an SA3 region?

SA3 (Statistical Area Level 3) is an Australian Bureau of Statistics geography covering 30,000–130,000 residents — roughly a mid-sized suburb cluster or regional town. Australia is divided into about 340 SA3 regions, which makes them a meaningful unit for benchmarking Clothing supply.

Why are some regions flagged as undersupplied?

Our opportunity analysis compares each SA3 region's population-per-store ratio against the national mean for Clothing. Regions more than one standard deviation above the mean (z > 1) are flagged as undersupplied — they have meaningfully fewer stores per resident than the typical Australian region.

How often is this data refreshed?

Location inventories are refreshed on a rolling basis and benchmark aggregates are rebuilt quarterly. The population denominators are taken from the latest Australian Bureau of Statistics Estimated Resident Population release.

Can I see the specific regions, street addresses or catchment maps?

SA4-level detail and below — including individual region names, catchment maps and street-level drill-down — is available to registered Pro users of the AreaSearch platform who also have access to the relevant retail sector or specific category cohort within their plan. Use the search box further down the page to look up any specific location.

How do I compare Clothing against another retail category?

Click any of the 37 retail categories in the picker above (or in the matrix tables further down). The URL, page title and every chart update to that category while the active scale (State / Metro / Regional) is preserved, so you can flip through quickly.

Clothing Benchmarks by Region in Australia

Name: Clothing Benchmarks by Region in Australia
Creator: AreaSearch
License: https://areasearch.com.au/

Clothing Benchmarks — National Snapshot

Apparel & Lifestyle

Clothing is a fragmented category that ranges from national chains in shopping centres through to suburban high-street boutiques. Below we benchmark clothing-retail locations by state, GCC, regional area and SA3, and identify the regions where the format is over- or under-represented relative to population. AreaSearch currently tracks 5,291 verified locations across 54 tracked brands in this category, with coverage continually expanding as new operators and outlets are verified.

Clothing by Region

Population per Clothing across every Australian state, Greater Capital City and Rest-of-State region. Sorted from best to worst access.

Browse by Region

How supply varies inside each Greater Capital City and Rest-of-State area, drilled down to SA4 level.

Top Brands by SA4

The leading operators inside each SA4 region. Click any row for the full top-10 brand mix in Browse by Region below.

SA3 Explorer

Toggle the geographic scope and the metric to slice the SA3 distribution for a different way without leaving this page.

Scope

Metric

Regional Scatter

Each point is a region (anonymised). Outliers suggest undersupply or oversupply.

Distance Analysis

Distance from each location to the nearest same-category store.

Opportunity Analysis

Which regions have too few stores for the residents who live there, and which are unusually well-served. Each region is compared with the national average and given a simple opportunity score — positive scores mean the area has more residents per store than typical (under-supplied — opportunity for new entry or expansion), negative scores mean better access than typical (over-supplied).

Correlations & Co-Location

Top sectors most likely to share a complex, sit closeby or share a region with . See the full cross-sector matrices →

Find & Assess an Area or Site

Assess a specific property, retail site or trade area with AreaSearch catchment analysis. Search below to open an area, review the surrounding market and build a clearer view of retail opportunity. Contact us if you need help finding the best locations.

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Our proposed tenancy fell within the minimum distance boundaries set by the Pharmacy Guild, making approval challenging. I engaged AreaSearch to prepare a detailed catchment report demonstrating clear medical need and a strong case for our pharmacy. The Guild approved our application, and we’ve been operating successfully ever since.

Wande Olarinde Gawain Road Pharmacy — Pharmacist

I first used AreaSearch in my time at Dexus focused on the Medical side. Since moving to DWS one of the first things I did was get AreaSearch on board, which has been invaluable with our Build to Rent targeting especially, while the economic data saves a tonne of time when looking at and presenting Macro themes.

Matt Persson DWS — Research Aus & NZ

We believe ensuring our property offering is in the correct market, with the right tenancy mix, is critical to success. AreaSearch helps us quickly identify and assess opportunities then effectively convey this opportunity in detail to our tenant customers across our extensive shopping centre portfolio.

Ben Stewart Mintus — Head of Retail and Residential

One of the first things we do as an opportunity arises is run an AreaSearch report. In a few seconds we generate a report that provides us, and our investors, a strong view of an investment’s catchment, demand fundamentals and growth potential – this is a great advantage early in our investment process.

Matthew Donzow CC Real — International Investment Group

About the Clothing Benchmarks

How AreaSearch builds, verifies and benchmarks every Clothing location in Australia.

What's in the dataset

This page is built from AreaSearch's database of verified retail locations across Australia — a continuously maintained inventory of every Clothing location with a fixed, publicly-listed trading address. Every record is geocoded to a precise latitude and longitude, validated against public registries and business directories, and assigned to its Australian Bureau of Statistics statistical area for like-for-like benchmarking.

What's deliberately excluded

To keep the supply benchmarks comparable across regions, the dataset excludes any retail location without a fixed, verifiable street address. Specifically:

Mobile and home-visit services — mobile services, pop-up stalls, food trucks, online-only operators, market-day stalls, and any retail format without a fixed shopfront.
Operators without public details — locations whose street address is not publicly listed (e.g. private members' clubs, dealer-only trade outlets, or owner-occupied premises not advertised as retail).
Unverified entries — a location is only included once AreaSearch has independently confirmed it operates at the listed address.

This means the population-per-store ratios you see represent the physical, walk-in catchment a resident can reach — not every operator that could theoretically serve the area.

Geographic breakdown

Every benchmark is reported at multiple ABS Statistical Geography levels — from the entire country down to a few street blocks — so you can size opportunities at the scale that matches your decision:

National — one-line summary across all Clothing locations in Australia.
State — eight states and territories (NSW, VIC, QLD, WA, SA, TAS, NT, ACT).
Greater Capital City (GCC) — 16 regions splitting each state into "Greater Capital" (metro) and "Rest of State" (regional).
SA4 — ~89 large sub-state regions (~300,000 residents each) suited to network-scale planning. Available to AreaSearch Pro subscribers.
SA3 — ~340 mid-sized regions (~30,000–130,000 residents) — suburb clusters and regional towns. Used for the opportunity analysis and distribution profiles.
SA1 / Mesh Block — ~25,000 SA1s (a few street blocks) and ~33,000 mesh blocks (same building / next door). Used for the closeby and same-block co-location matrices.

How the metrics are computed

Population per store — the resident population of the area divided by the count of verified Clothing store locations operating in it. Lower is better access.
Distance to nearest — Haversine geodesic distance from each location to its nearest Clothing neighbour, and to the nearest residential mesh block centroid (a proxy for typical resident travel).
Gap z-scores — how many standard deviations a region's population-per-store sits above or below the national mean. Z > 1 = meaningfully under-supplied.
Co-location rates — of small areas where category A has a presence, the percentage that also have category B. Computed independently at SA3, SA1 and mesh-block scales.
Cross-category correlations — Pearson correlation of population-per-store ratios across SA3 regions, showing which categories rise and fall together.

Who uses this data

These benchmarks support retail site-selection, network planning and competitive analysis for shopping-centre owners, retail REITs, franchisors, big-box and supermarket developers, fast-food operators, banks and telcos planning branch networks, government agencies and retail investors. If you need the underlying location-by-location dataset, SA3 drill-down, or a custom catchment study, contact AreaSearch.

Refresh cadence

The verified location inventory is refreshed continuously as registries publish updates and AreaSearch's verification pipeline confirms changes. Benchmark aggregates on this page are rebuilt quarterly. Population denominators come from the latest Australian Bureau of Statistics Estimated Resident Population release.

Clothing Benchmarks by Region