2021 Census update of the Net Interstate Migration model

Methodology and results of the five-yearly review of the interstate migration model used in calculating estimated resident population.

Released
15/06/2023

Overview

Net Interstate Migration (NIM) is an important component of state-level estimated resident population (ERP) change in Australia. 

Unlike natural increase and overseas migration, there is no direct measure of interstate migration. We model interstate migration using:

  • Change of address data from Medicare
  • Movements derived from Department of Defence data
  • Census-based expansion factors

Following the 2021 Census, we have:

  • recalculated the expansion factors used to account for under-reporting of address change in the Medicare data
  • used these new expansion factors to finalise quarterly interstate migration estimates for the first four years of the intercensal period (September 2016 to June 2020)
  • finalised quarterly interstate migration estimates for the last year of the intercensal period (September 2020 to June 2021) using adjusted 2021 Census data
  • applied new factors to all quarters from the 2021 Census (i.e. September 2021 onwards) and we will continue to use these until after the 2026 Census

This paper presents the outcomes of these four processes following the 2021 Census, and it includes the difference in the revision method used this Census cycle compared to previous revisions.

What are expansion factors?

Expansion factors account for missing movements due to delayed Medicare registrations and address updates, and for some usual residents not eligible for Medicare. They are multiplied by Medicare movement data to get estimates of interstate migration by state, age and sex.

Expansion factors

For the 2021 final rebasing period, expansion factors were recalculated and used to finalise net interstate migration.

    Expansion factors can:

    • account for non-reporting of moves and those not eligible for Medicare
    • expand moves based on observed misses from previous Censuses

    Expansion factors cannot:

    • react to changing trends in Medicare address reporting within an intercensal period 
    • react to changing patterns of those not eligible for Medicare (ie recent migrants)
    • take away any COVID-19 effects in our data sources

    Expansion factors:

    • are calculated for all ages but are only applied to certain age groups 
    • are calculated and applied at the state level - only the age range is determined at the Australia level

    More information about expansion factors can be found in Results - calculating expansion factors.

    COVID-19 impacts

    The COVID-19 pandemic posed some challenges to the planned approach to finalising interstate migration estimates and calculating expansion factors:

    • Medicare change of address data was affected by changed address updating behaviour due to Australia's COVID-19 vaccination program.
    • Census data was affected by COVID-19 lockdown policies in some jurisdictions.

    The response to these challenges was to give greater weight to those Census and Medicare data that were unaffected by those COVID-19 impacts. More information can be found in the Results section.

    Data sources

    Interstate migration estimates are derived from:

    • Medicare change of postcode data
    • Defence force change of postcode data
    • Census state of usual residence 1 year ago data

    For 2021, we also confronted interstate data with an administrative data asset which links multiple government data sources, including tax data. It gives additional coverage of population movements not captured by Medicare or Census. An example of how administrative data was used to improve the quality of the 2021 Census can be found in this article How administrative data improved the quality of the 2021 Census.

    Medicare data

    Defence force adjustments

    Census data

    Results - Calculating Expansion Factors

    Revising interstate migration with expansion factors

    We have applied the new 2021 Census-based expansion factors to all Medicare data from September 2016 to June 2020, and they will continue to be used in the preliminary interstate migration model until after the 2026 Census. September 2020 to June 2021 quarters were finalised using Census estimates, as detailed in the section Results - Finalising Interstate Migration 2016-2021.

    Prior to this revision, preliminary interstate migration (that is, from September 2016 onwards) was based on the expansion factors calculated from the 2016 Census.

    • Data up to June 2021 is now considered final.
    • Data from September 2021 onwards will be revised following the 2026 Census. 

    The Census-based interstate migration expansion factors are available in the 'Data downloads' section.

    Calculating expansion factors

    The interstate migration estimates used in calculating the quarterly ERP incorporate each of the above data sources.

    The model includes an 'expansion factor' calculated from the Census-based estimates. This is to account for under-reporting of address change to Medicare for each age/sex/state move type (arrival or departure). The formula for the model is:

    \(Interstate\,Migration = (Medicare\,Data \times Expansion\,factor)+ (Defence\,Data \times 70\% )\)

     

    Expansion factors are calculated for each age/sex/state/move type (arrival or departure) combination, and are applied to certain age groups as:

    \(Expansionfactor = {(Census\,based\,estimate-defence\,adjustment) \times Multiple\,mover\,factor \over Raw\,Medicare\,data}\)

     

    Multiple mover factor

    Defence adjustments

    Smoothing and capping

    Age range

    Difference between preliminary and final interstate migration estimates

    The graphs and tables below show the differences between preliminary and final net interstate migration estimates.

    According to the adjustments we made to Census data, the results were:

    • 366,000 people lived in a different state between the start and end of the 2020-21 financial year.
    • The number of interstate movements made by males and females were similar despite there being more females in the population.
    • Interstate movers had a more pronounced age distribution than the general population.
    • People aged 18 to 40 made up over half (55%) of all interstate movers, despite being around one-third (32%) of the total population.

     

    (a) Interstate movers are between 30 June 2020 and 30 June 2021; ERP at 30 June 2021

    Results - Finalising Interstate Migration 2016-2021

    Difference to previous revision method

    Differences between preliminary and final net interstate migration, September 2016 to June 2021 quarters

    Preliminary and final NIM during this intercensal period have some key differences.

    • To reduce COVID effects in non-COVID years of the intercensal period, we finalised the first four years of the intercensal period with expansion factors, and the last year of the intercensal period with 2021 Census data.
    • ABS now uses updated Medicare data based on individual address rather than group address, which has captured more interstate movements. See more in National, state and territory population methodology, December 2022.
    • The table below compares preliminary NIM with 2016-based expansion factors using old Medicare data with final NIM with 2021-based expansion factors using new Medicare data.
    Interstate migration and corresponding intercensal difference, September 2016 to June 2021 quarters
     2016-based (preliminary)      2021-based (final)              
    Net interstate migrationIntercensal difference(a)Net interstate migrationIntercensal difference
    New South Wales-96,60094,300-118,80067,800
    Victoria28,600102,600-8,90072,400
    Queensland121,9004,000128,70014,100
    South Australia-17,200-29,500-10,700-22,400
    Western Australia-28,700-67,500-9,800-47,900
    Tasmania7,000-26,50012,700-20,300
    Northern Territory-16,300-3,300-8,8005,200
    Australian Capital Territory1,300-21,80015,700-6,400
    Australia 52,200 62,400
    1. 2016-based intercensal difference is the difference that would have occurred if NIM had not been revised. It takes into account final rebasing of the June 2021 ERP as well as finalisation of other components of ERP. This is not the same as 'preliminary intercensal difference' published elsewhere, which relates to the difference prior to final rebasing and finalisation of components. Negative numbers mean that the unrebased ERP underestimated the population. Positive numbers means that the unrebased ERP was an overestimate.
    Difference between preliminary and final net interstate migration, September 2016 and June 2021 quarters
     Difference preliminary to final 
     ArrivalsDeparturesNet(a)
    New South Wales50,00072,000-22,000
    Victoria22,00060,000-38,000
    Queensland61,00054,0007,000
    South Australia19,00012,0007,000
    Western Australia28,0009,00019,000
    Tasmania14,0008,0006,000
    Northern Territory16,0008,0007,000
    Australian Capital Territory19,0004,00014,000

    a. Net = Arrivals - Departures. Raw numbers have been rounded to the nearest thousand and may result in some differences.

    Preliminary and revised net interstate migration(a), September 2021 to September 2022 quarters
     2016-based (preliminary)2021-based (revised)Difference
    New South Wales-51,600-47,3004,300
    Victoria-17,700-15,6002,100
    Queensland63,20055,800-7,400
    South Australia1,200500-700
    Western Australia13,20013,000-200
    Tasmania-500-600-100
    Northern Territory-3,900-3,100800
    Australian Capital Territory-4,100-2,6001,500

    a. These estimates are subject to further revision after the 2026 Census. 

    2021 Census-based interstate migration expansion factors

    2021 Census-based expansion factors have now been applied to all data from the September 2016 to June 2020 quarters, and September 2021 onwards.

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