National practice list: GP Zoo

What it is

A national list of general practices of all sizes, with the named GP roster where found and the practice attributes a vendor needs to target. It is a research aid, not a verified contact database. It has no named individual contacts and is not built for deliverability. What it is good for: territory sizing, deduplication against your own list, market coverage checks, and a starting universe for enrichment.

6,393

Practices

34,000+

GP listings

Nurse count

some records

MM1–MM7

Segment by MMM

Features and what they let you do

What is in the file

GP names. Named GPs and the practice each works at, more than 34,000 listings across the file, duplicates removed.
Practice class. Solo, small, medium or large independent, banded by GP count.
Location (MMM). Modified Monash Model grade MM1 to MM7 from the authoritative locality classification, not a postcode rollup. Held for parts of the list.
Nurse on site. A nurse-present flag, recorded on some records.
Practice details. Name, address, suburb, postcode, state, phone and website. The base version carries no ownership fields and no named contacts.

What it lets you do

Target by size and staffing. Filter to practices of a given GP band, GP roster or nurse presence.
Plan a territory. Count and map the addressable practices in a state or region before you deploy a field force.
Segment by MMM. Separate metropolitan practices from regional and remote ones for workforce or access programs.
Clean your own data. Deduplicate and check coverage against a national reference.
Feed enrichment. Use it as the base map a disease-burden overlay ranks.

What each record holds

Field	Coverage
Practice name, address, suburb, state, postcode	100%
Phone	practice detail, where published
GP names and the practice each works at	34,000+ listings across the file
Website	where published
Nurse on site	recorded on some records
Location (MMM) and practice class	held for parts of the list
Owning operator	ownership-marked version only

The Modified Monash Model (MMM) is the standard Australian geographic classification, grading locations from MM1 (major cities) to MM7 (very remote communities). It is used to plan healthcare workforce, funding and service delivery, so you can separate metropolitan practices from regional and remote ones.

A look at the data

Real records, at shipped fidelity. GP names are masked to first name and surname initial on this page and in the demo file. Blanks are shown as blanks in the file.

Practice	Suburb	State	Nurses	GP count	Class	MMM	Roster sample
Annie Lim Family Practice	Deakin	ACT	Yes	10	Large independent	MM1 Metro	Dr Jodi B., Dr Heidi B., Dr Emily W. ...
Belconnen Medical and Skin Clinic	Belconnen	ACT	No	6	Medium	MM1 Metro	Dr Mayokun O., Dr Dinesh M. ...
Belconnen Medical Centre	Belconnen	ACT	No	3	Small	MM1 Metro	Dr Aparna P., Dr William F. ...

Download the demo records (Excel)

Accuracy and method

This list is compiled with technology systems and automated extraction from public sources, with manual checking on top. It will contain errors. Practices close, move, merge, rename and change ownership; GP counts, nurse flags, phone numbers and email addresses are recorded as found and are not individually confirmed. Records change between builds. Medius does not warrant accuracy or completeness, does not guarantee deliverability, and accepts no liability for decisions made on the data. It is sold as a research aid, not a verified contact database. Confirm any record before you act on it.

The caveat is not a disclaimer buried in the terms. It is the reason the list is priced where it is. See how the data is built.

Price

National list, all practices

A$2,250

6,393 practices

Name, address, phone, website and GP names. No ownership fields, no contacts. Ex GST.

National list, ownership-marked

A$3,200

6,393 practices, operator named on each group site

The all-practices list with group-owned practices marked and the owning operator named on each. Ex GST.

State slice, custom segment or overlay

Quoted

One state, filtered cut, or an overlay such as MMM

Priced on the segment. The filtered cuts and overlays carry the premium, because the targeting is the value.

Enquire See enrichment