3218.0 - Regional Population Growth, Australia, 2011-12 Quality Declaration 
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 30/04/2013   
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EXPLANATORY NOTES


INTRODUCTION

1 This product contains estimates of the resident population of Statistical Areas Level 2 to 4 (SA2s - SA4s) and Greater Capital City Statistical Areas (GCCSAs) of Australia. These estimates plus those for Local Government Areas, Significant Urban Areas, Remoteness Areas and Electoral Divisions are also provided in the Downloads tab of this issue.

2 To meet the conflicting demands for accuracy and timeliness there are several versions of sub-state/territory population estimates. Preliminary estimates as at 30 June are normally available by April of the following year, revised estimates twelve months later and rebased and final estimates after the following Census. The estimates in this issue are preliminary rebased for 2011, based on the results of the 2011 Census, and preliminary for 2012.


ESTIMATED RESIDENT POPULATION - AUSTRALIA

3 Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence is that place where each person has lived or intends to live for six months or more from the reference date for data collection.

4 Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census.

5 Population estimates for Australia and the states and territories are updated by adding to the estimated population at the beginning of each period the components of natural increase (births minus deaths, on a usual residence basis) and net overseas migration. For the states and territories, account is also taken of estimated interstate movements involving a change of usual residence.

6 After each Census, estimates for the preceding intercensal period are finalised by incorporating an additional adjustment (intercensal discrepancy) to ensure that the difference between the ERPs at the two respective Census dates agrees with the total intercensal change.

7 More detailed explanations of the concept of ERP, as adopted by the ABS for official population estimates, are contained in Information Paper: Population Concepts, 2008 (cat. no. 3107.0.55.006) and Population Estimates: Concepts, Sources and Methods, 2009 (cat. no. 3228.0.55.001).


ESTIMATION OF SUB-STATE POPULATIONS

8 In July 2011, the ABS replaced the nation's official statistical geography, the Australian Standard Geographical Classification (ASGC) with the new Australian Statistical Geography Standard (ASGS).

9 In Australia, the SA2 (as defined in the ASGS) is now the base spatial unit used to collect and disseminate statistics other than those collected from the Population Census. In aggregate, SA2s cover the whole of Australia without gaps or overlaps. Populations for SA2s are estimated as at 30 June each year. Population estimates for larger regions are built up from SA2-level estimates.

10 The ERP as at Census date for each SA2 is calculated based on usual residence Census counts, excluding short-term overseas visitors in Australia, with an allowance for Census net undercount and the number of residents temporarily overseas (RTOs) at the Census date. The estimates of net undercount are apportioned to SA2s based on age, sex, Indigenous status, state and territory, and broad region. The number of RTOs on Census night is estimated based on coding addresses of residence to SA2 from a sample of incoming passenger cards. As the Census is not held on 30 June (the 2011 Census was held on 9 August), further adjustments taking into account births, deaths and migration for the intervening period are made to obtain the ERP at 30 June.

11 For post-Census years, the absence of migration data at the SA2 level means that it is not possible to estimate SA2 populations by taking into account natural increase and net migration. Instead, ERPs for most SA2s are calculated using a mathematical model, where relationships are established between changes in population and changes in indicator data between the two most recent Censuses for groups of SA2s. Current indicators include dwelling approvals, Medicare enrolments and counts of people on the Australian Electoral Roll. Changes in these indicators are used to estimate changes in the population of each area since the last Census. In areas where indicator data is unreliable or migration can be assumed to be insignificant, population change may be estimated by adding natural increase (births minus deaths) since the previous Census. In some very small areas population change since the previous Census may be assumed to be zero in the absence of reliable indicator data for these areas. All estimates are scrutinised and validated by ABS analysts. Local knowledge, including that advised by local governments, may be used to adjust the figures for particular SA2s. Estimates at SA2 level are constrained to state/territory population estimates.

12 To enable the comparison of regional populations over time, historical population estimates based on consistent updated boundaries are prepared. These estimates correspond with previously-released estimates (on different boundaries) where possible. When official statistical boundaries, such as for Local Government Areas, are updated, historical estimates are prepared based on the updated boundaries.

13 In Census years, both preliminary estimates (derived from updating ERP from the previous Census) and rebased estimates (based on the current Census) are prepared. Differences between these two sets of estimates are referred to as intercensal errors. Rebased estimates of SA2 populations for previous intercensal years are based on estimates derived by apportioning the intercensal error evenly across the five years, while constraining the SA2 level estimates to state/territory estimates. Rebased 2007 to 2010 estimates were derived by adding one-fifth of the 2011 intercensal error to the previous estimates of the 2007 population, two-fifths to the previous estimate of the 2008 population, and so on.


ACCURACY OF SUB-STATE POPULATION ESTIMATES

14 An indication of the accuracy of ERPs can be gauged by assessing the size and direction of the intercensal errors. For Australia, the preliminary June 2011 ERP over-estimated the preliminary rebased June 2011 ERP by 1.32% (294,400 people). For the states and territories, the 2011 intercensal errors ranged from -0.57% (Australian Capital Territory) to +2.37% (Queensland).

15 Summary statistics of the absolute values of these errors can be used to assess the accuracy of a number of population estimates. To give an indication of the quality of SA2-based estimates, a set of experimental estimates was prepared, updated from 2006 Census-based estimates, and compared with the preliminary rebased 2011 SA2 estimates. The average absolute value of the intercensal errors for this experimental series of 2011 SA2 estimates (excluding areas with less than 2000 people) was 4.0%.

16 Average absolute intercensal errors for the 2011 SA2 experimental estimates decreased with increasing population size; that is, SA2s with large populations recorded the smallest percentage errors while small SA2s had the largest percentage errors.

Average absolute intercensal error, Australia - 30 June 2011
Number of SA2s
Average absolute intercensal error
Size of SA2 (people)
no.
%
Under 2,000
99
15.6
2,000 to 4,999
420
5.2
5,000 to 6,999
323
4.5
7,000 to 9,999
385
4.0
10,000 to 14,999
411
3.6
15,000 to 19,999
293
3.1
20,000 and over
225
2.4


17 In recognition of the inherent inaccuracy involved in estimating population, population figures in text and accompanying summary tables published by the ABS are generally rounded. In the commentary for this product, figures less than 1,000 are rounded to the nearest ten, figures over 1,000 are rounded to the nearest hundred, and figures over 1 million are rounded to the nearest 10,000 or 100,000. While unrounded figures are provided in the spreadsheets, accuracy to the last digit is not claimed and should not be assumed. Estimates of change in population are based on unrounded numbers.


SA1-BASED POPULATIONS

18 The Statistical Area Level 1 (SA1) is the smallest unit for the release of Census data. There are approximately 55,000 SA1s and they cover the whole of Australia without gaps or overlaps. To provide some indication of estimated resident population below the SA2 level, the ABS prepares population estimates for SA1s. These estimates can be aggregated to form population estimates for regions such as State Suburbs, Remoteness Areas and Electoral Divisions. By this means, population estimates for areas other than those provided in this product (including SA1 ERPs) may be available on request.

19 Population estimates at the SA1 level as at 30 June of a Census year are compiled by apportioning the population estimate for each SA2 across the SA1s within the SA2, using Census usual residence counts. In post-Census years, the 30 June population estimates for SA2s are apportioned across SA1s by taking into account population change implied by indicator data at the SA1-level in the years following the Census.


LOCAL GOVERNMENT AREA POPULATIONS

20 Population estimates for Local Government Areas (LGAs) that can be built from whole SA2s are produced by aggregating the SA2-level estimates accordingly. Estimates for LGAs that can be built from whole SA1s are produced by aggregating the SA1-level estimates. In Census years, where LGAs cross SA1 boundaries, mesh block Census counts are used to estimate the share of the SA1 population that reside in those LGAs. In post Census years, estimates are prepared using updated estimates of SA1 to LGAs splits, taking into account population change implied by indicator data. Whole and partial SA1 estimates are then aggregated to LGA level.


AUSTRALIAN STATISTICAL AREAS

21 This publication contains data presented according to the 2011 edition of the Australian Statistical Geography Standard (ASGS), which refers to boundaries as defined at 1 July 2011. Under this classification, statistical areas are defined as follows:
  • Statistical Areas Level 2 (SA2s). SA2s are medium-sized general purpose areas which aim to represent communities that interact together socially and economically. SA2s are based on officially gazetted suburbs and localities. In urban areas SA2s largely conform to one or more whole suburbs, while in rural areas they generally define the functional zone of a regional centre.
  • Statistical Areas Level 3 (SA3s). SA3s are aggregations of whole SA2s and reflect a combination of widely recognised informal regions as well as administrative regions such as state government regions in rural areas and LGAs in urban areas.
  • Statistical Areas Level 4 (SA4s). SA4s are made up of whole SA3s and are designed to reflect labour markets. In rural areas, SA4s generally represent aggregations of small labour markets with socioeconomic connections or similar industry characteristics. Large regional city labour markets are generally defined by a single SA4. Within major metropolitan labour markets SA4s represent sub-labour markets.
  • Greater Capital City Statistical Areas (GCCSAs). GCCSAs are built from whole SA4s and represent a broad socioeconomic definition of each of the eight state and territory capital cities. They contain not only the urban area of the city, but also the surrounding and non-urban areas where much of the population has strong links to the capital city, through for example, commuting to work.
  • Remoteness Areas (RAs). RAs represent an aggregation of non-contiguous geographical areas which share common characteristics of remoteness. The delimitation criteria for RAs are based on the Accessibility/Remoteness Index of Australia (ARIA+), which measures the remoteness of a point based on the road distance to the nearest urban centre. The RA categories range from Major Cities to Very Remote. Each RA is created from a grouping of SA1s having a particular degree of remoteness.
  • Significant Urban Areas (SUAs). SUAs are aggregations of whole Statistical Areas Level 2 (SA2s) which define and contain major urban and near-urban concentrations of over 10,000 people. They include the urban population, any immediately associated populations, and may also incorporate one or more closely associated Urban Centre and/or Locality and the areas between. They are designed to incorporate any likely growth over the next 20 years. SUAs do not cover the whole of Australia, and may cross State boundaries.
  • Commonwealth Electoral Divisions (CEDs). A CED is an area legally prescribed for returning one member to the House of Representatives, Australia's Federal Lower House of Parliament. Data for CEDs are approximated by aggregating the data for Statistical Areas Level 1 that best fit the area.
  • State Electoral Divisions (SEDs). An SED is an area legally prescribed for returning one or more members to the State or Territory Lower Houses of Parliament. Data for SEDs are approximated by aggregating the data for Statistical Areas Level 1 that best fit the area.

22 This product also contains data presented according to the 2012 edition of the Australian Statistical Geography Standard (ASGS) - Non ABS Structures.
  • Local Government Areas (LGAs). LGAs are ABS approximations of officially gazetted LGAs as defined by each state and territory local government department. LGAs cover incorporated areas of Australia, which are legally designated areas which incorporated local governing bodies have responsibility. The ABS will update LGAs annually, and prepare updated and historical population estimates based on these updated boundaries.

23 Further information on these statistical areas is contained in Australian Statistical Geography Standard: Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011 (cat. no. 1270.0.55.001), Australian Statistical Geography Standard: Volume 3 - Non ABS Structures, July 2012 (cat. no. 1270.0.55.003), Australian Statistical Geography Standard: Volume 4 - Significant Urban Areas, Urban Centres and Localities, Sections of State, July 2011 (cat. no. 1270.0.55.004), and Australian Statistical Geography Standard: Volume 5 - Remoteness Structure, July 2011 (cat. no. 1270.0.55.005).


MAPS

24 A complete series of SA2 maps is available in Australian Statistical Geography Standard: Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011 (cat. no. 1270.0.55.001).


RANKING POPULATION CHANGE

25 This product ranks regions according to both 'largest' and 'fastest' growth, identifying areas with significant changes in population. Largest growth is based on the absolute change in population between June 2011 and June 2012, while fastest growth is based on the rate of change in population (expressed as a percentage). Regions with populations of less than 1,000 people at June 2011 have been excluded from the fastest growth rankings.

26 Due to the inherent imprecision of regional population estimates and variation in population size, rankings should be considered indicative of relative growth between regions, not definitive.


CENTRE OF POPULATION

27 The centre of population is a measure used to describe the spatial distribution of a population. The method used to calculate centres of population in this product is based on the centroid and population of each SA1. To calculate the centre of population for an area, the latitude and longitude coordinates of the centroid of each SA1 in that area are multiplied by the SA1's estimated resident population to obtain weighted latitudes and longitudes for each SA1. These are summed to obtain a weighted latitude and longitude coordinate for the area, then divided by the total population of the area to obtain a single latitude and longitude coordinate.

28 Due to the inherent imprecision in small area estimates, the centre of population should be considered indicative only of the distribution of population, and cannot be ascribed to an exact location. The use of different geographical level data could result in different centres of population.


CALCULATION OF AREAS AND POPULATION DENSITY

29 The area figures used in this issue are based upon the SA2 level of the Australian Statistical Geography Standard, 2011 edition. The areas of the SA2s were calculated using ABS standard Geographic Information Systems software from the digital boundaries of this ASGS edition. Higher level spatial unit area figures are aggregations of the relevant SA2 areas. These areas are included in the SA2-based spreadsheet accompanying this publication.

30 The population density for an area is calculated by dividing the estimated resident population for the area by its area in square kilometres. The result is expressed as a number of people per square kilometre. The population densities of SA2s are illustrated in the Population Density maps in this product. These maps should be considered an approximation of the true distribution of the population. For example, an SA2 comprising one or more small population centres surrounded by a large, sparsely populated area will be illustrated with the average population density for the SA2 as a whole, so the small population centres will not be apparent.


ACKNOWLEDGMENT

31 ABS publications draw extensively on information provided freely by individuals, businesses, governments and other organisations. Their continued cooperation is very much appreciated; without it, the wide range of statistics published by the ABS would not be available. Information received by the ABS is treated in strict confidence as required by the Census and Statistics Act 1905.


RELATED RELEASES

32 Other ABS releases that are freely available on the ABS website <www.abs.gov.au> and may be of interest to users of this product include:

ADDITIONAL STATISTICS AVAILABLE

33 As well as the statistics included in this and related publications, additional information is available from the ABS website <www.abs.gov.au> by selecting Topics @ a Glance, People and then Demography.

34 The ABS may have other relevant data available on request. Inquiries should be made to the National Information and Referral Service on 1300 135 070.