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Tuesday, 8 May 2012
Page: 4212

Medicare Benefits

(Question No. 838)


Mr Crook asked the Minister for Health, in writing, on 16 February 2012:

For the calendar years 2010 and 2011, what was the average Medicare benefit payment per capita in each federal electoral division.


Ms Plibersek: The answer to the honourable member's question is as follows:

The average Medicare benefits paid per capita (1) in Federal electoral divisions, based on patient Medicare enrolment postcodes for 2010 & 2011, by year of processing of claims, is presented in the table below:

 

 

Calendar year(2)

State/Territory (4)

Commonwealth Electoral Division(5)

2010 Average Medicare benefits paid per capita(1) (3) $

2011 Average Medicare benefits paid per capita(1) (3) $

NSW

Banks

892

938

 

Barton

921

981

 

Bennelong

790

854

 

Berowra

829

880

 

Blaxland

905

954

 

Bradfield

857

911

 

Calare

635

692

 

Charlton

744

809

 

Chifley

803

863

 

Cook

934

994

 

Cowper

788

880

 

Cunningham

827

868

 

Dobell

846

912

 

Eden-Monaro

559

602

 

Farrer

635

694

 

Fowler

857

883

 

Gilmore

850

913

 

Grayndler

846

874

 

Greenway

799

862

 

Hughes

843

890

 

Hume

666

704

 

Hunter

647

686

 

Kingsford Smith

854

903

 

Lindsay

800

867

 

Lyne

845

925

 

Macarthur

822

878

 

Mackellar

825

883

 

Macquarie

776

828

 

McMahon

898

943

 

Mitchell

853

916

 

New England

561

603

 

Newcastle

694

738

 

North Sydney

795

845

 

Page

739

816

 

Parkes

639

702

 

Parramatta

836

897

 

Paterson

792

859

 

Reid

809

863

 

Richmond

839

918

 

Riverina

678

722

 

Robertson

908

958

 

Shortland

804

868

 

Sydney

698

735

 

Throsby

858

906

 

Warringah

800

856

 

Watson

915

949

 

Wentworth

908

951

 

Werriwa

827

873

VIC

Aston

748

806

 

Ballarat

660

718

 

Batman

809

847

 

Bendigo

667

712

 

Bruce

787

835

 

Calwell

769

843

 

Casey

688

755

 

Chisholm

751

790

 

Corangamite

658

708

 

Corio

666

713

 

Deakin

790

839

 

Dunkley

766

830

 

Flinders

743

817

 

Gellibrand

692

735

 

Gippsland

649

687

 

Goldstein

835

872

 

Gorton

677

731

 

Higgins

791

826

 

Holt

696

762

 

Hotham

776

816

 

Indi

631

690

 

Isaacs

708

759

 

Jagajaga

787

827

 

Kooyong

749

784

 

LaTrobe

678

735

 

Lalor

627

715

 

Mallee

624

681

 

Maribyrnong

803

850

 

McEwen

662

732

 

McMillan

698

759

 

Melbourne

640

684

 

Melbourne Ports

779

805

 

Menzies

842

902

 

Murray

652

703

 

Scullin

826

881

 

Wannon

588

628

 

Wills

819

873

QLD

Blair

678

750

 

Bonner

730

783

 

Bowman

727

783

 

Brisbane

681

715

 

Capricornia

556

603

 

Dawson

540

592

 

Dickson

670

738

 

Fadden

740

821

 

Fairfax

807

875

 

Fisher

827

895

 

Flynn

554

592

 

Forde

669

750

 

Griffith

670

720

 

Groom

654

705

 

Herbert

553

605

 

Hinkler

727

810

 

Kennedy

523

553

 

Leichhardt

540

603

 

Lilley

741

803

 

Longman

649

743

 

Maranoa

586

632

 

McPherson

792

864

 

Moncrieff

751

836

 

Moreton

689

741

 

Oxley

648

709

 

Petrie

695

788

 

Rankin

642

700

 

Ryan

680

723

 

Wide Bay

741

804

 

Wright

672

741

SA

Adelaide

698

746

 

Barker

572

613

 

Boothby

790

836

 

Grey

616

650

 

Hindmarsh

833

880

 

Kingston

712

767

 

Makin

705

755

 

Mayo

712

754

 

Port Adelaide

748

802

 

Sturt

801

847

 

Wakefield

706

769

WA

Brand

540

588

 

Canning

592

631

 

Cowan

569

610

 

Curtin

644

672

 

Durack

416

439

 

Forrest

526

570

 

Fremantle

606

639

 

Hasluck

569

595

 

Moore

575

619

 

O'Connor

462

490

 

Pearce

542

588

 

Perth

609

646

 

Stirling

629

659

 

Swan

536

560

 

Tangney

604

635

Tas

Bass

584

614

 

Braddon

567

611

 

Denison

729

763

 

Franklin

721

760

 

Lyons

602

633

NT

Lingiari

295

314

 

Solomon

426

453

ACT

Canberra

575

605

 

Fraser

514

557

 

NOTES:

(1) Populations for Commonwealth Electoral Division (CED) are calculated on a financial year basis. The 2010 table uses the estimated resident population (ERP) at 30 June 2010. The ERP at 30 June 2011 is not yet available for Federal electoral divisions. Therefore the 2011 table also uses the ERP as at 30 June 2010.

(2) Calendar year of processing is the year in which the claim was processed by Medicare Australia. For example, a service rendered by a Medicare provider to a patient in December 2009 and having the claim processed by Medicare in January 2010, will appear in 2010 data.

(3) Only health services receiving a Medicare benefit appear in Medicare data sets.

(4) In compiling Medicare statistics by state/territory, each postcode is usually allocated to only one state. In contrast, the electorate concordance file allocates fractions of particular postcodes across states. Some postcodes are not represented on the concordance file. As a consequence, data coverage for state/territory in electorate data, may differ slightly from the coverage of state/territory data reported elsewhere.

(5) Medicare benefits have been allocated to electoral divisions on the basis of each patient's Medicare enrolment postcode at the time of service. Patients may change enrolment postcode in a period, and as a consequence have services in more than one electorate. Patients may also have changed their postcode of residence and not yet updated their Medicare enrolment postcode.

Where possible, PO Box postcodes have been allocated to an electorate using geospatial programs and a PO Box/delivery area postcode file from Australia Post. Where a postcode boundary overlaps different electorate boundaries, the postcode data is allocated to the respective electorates using a postcode to CED concordance file, built by the Department of Health and Ageing, using Australian Bureau of Statistics population data. This assumes that Medicare postcode data is geographically distributed in the same proportions as the population was distributed for these split postcodes. This may result in some postcode-based service and funding data being allocated to an electorate different to that of the address of the service provider or user.