Statistics contained in the Year Book are the most recent available at the time of preparation. In many cases, the ABS website and the websites of other organisations provide access to more recent data. Each Year Book table or graph and the bibliography at the end of each chapter provides hyperlinks to the most up to date data release where available.
GEOGRAPHIC DISTRIBUTION OF THE POPULATION
Most of Australia’s population is concentrated in two widely separated coastal regions – the south-east and east, and the south-west. Of the two regions, the south-east and east is by far the largest in area and population. The population within these regions is concentrated in urban centres, particularly the capital cities.
Australia's population density at June 2010 was 2.9 people per square kilometre (sq km) compared with 2.6 people per sq km in 2005. Of the states and territories, the Australian Capital Territory had the highest population density at June 2010 with 150 people per sq km (reflecting the fact that the city of Canberra constitutes a large proportion of the Australian Capital Territory's area) followed by Victoria with 24 people per sq km. The Northern Territory had a population density of only 0.2 people per sq km, the lowest of all the states and territories (reflecting more recent settlement, distance from areas settled earlier, large arid areas and, perhaps, climate).
Population density at June 2010 was highest in the city centres, particularly in the Sydney Statistical Division where the most densely populated Statistical Local Area (SLA) in Australia was located. This was Sydney (C) – East (with 8,800 people per sq km). The neighbouring Sydney (C) – West (7,900) and Waverley (A) (7,500), which is located just east of the Sydney (C) LGA and contains the beach-side suburbs of Bronte and Bondi, had the third and fourth highest population densities in Australia. The most densely populated SLA in Victoria was Melbourne (C) – Inner with 8,000 people per sq km, making it the second most densely populated SLA in the country. Port Phillip (C) – St Kilda, which is on the shores of the bay just south of the city centre, with 6,400 people per sq km, North Sydney (A), with 6,200 people per sq km, and Sydney (C) – Inner, with 6,100 people per sq km, complete the list of Australian SLAs that had more than 6,000 people per sq km at June 2010. At the other extreme, there were almost 250 SLAs in Australia with less than 1 person per sq km, close to one-third of which were located in Western Australia. The density of Australia's population at June 2010 is shown in map 7.14.
REGIONAL POPULATION CHANGE
At June 2010, capital city Statistical Divisions (SDs) were home to 14.3 million people, or around two-thirds (64%) of Australia's population. The capital city SD of Melbourne experienced the largest increase in population of capital cities between 2005 and 2010, followed by Sydney and Brisbane. However, in terms of percentage growth, Darwin was the fastest growing capital city between 2005 and 2010, with an average annual growth rate of 2.8% per year. Perth experienced the next highest average annual growth rate over this period (2.7%). Table 7.15 illustrates the changes in population of Australia's major regions over the five-year period 2005–10.
Generally, the largest growth outside capital city SDs occurred in Australia's coastal regions. Of these regions, the largest increase in population between 2005 and 2010 occurred in the Statistical District of Gold Coast – Tweed, up by an average 16,900 people per year (or 3.1% per year). Hervey Bay recorded the fastest rate of growth over the same period, with an average growth rate of 4.7% per year. This growth rate was also faster than any capital city. Mandurah and Bunbury, south of Perth, also had average annual growth rates above 4.0% during the same period.
INTERSTATE MIGRATION
A key contributor to change in the distribution of Australia's population is internal migration. During 2009–10, 331,400 people moved from one state or territory to another. This is an 8% drop from the same period one year earlier (359,900).
In 2009–10, Victoria, Queensland, Western Australia and Tasmania all recorded net interstate migration gains, while New South Wales, South Australia, Northern Territory and the Australian Capital Territory had net interstate migration losses. Queensland has recorded positive net interstate migration for more than 30 years; in contrast, New South Wales has had net losses every year since 1978–79. However, as table 7.16 illustrates, any losses due to net interstate migration in 2009–10 were offset by growth due to natural increase (births minus deaths) and net overseas migration.
Queensland was the most popular destination for Australians moving interstate, receiving the largest number of arrivals during 2009–10 (86,400 persons). New South Wales and Victoria followed with 83,000 and 63,100 arrivals respectively.
The most common moves were between the three most populous states: New South Wales, Queensland and Victoria. The largest interstate flow was from New South Wales to Queensland (42,000 persons), while the counter flow from Queensland to New South Wales was the second largest (35,400 persons), followed by the flow from New South Wales to Victoria (22,700 persons).
There were also significant movements between bordering states and territories. This is especially apparent between the Australian Capital Territory and surrounding New South Wales, with 10,100 arrivals to the Australian Capital Territory from New South Wales and 9,900 departing from the Australian Capital Territory to New South Wales in 2009–10.
The largest net flow in 2009–10 was between New South Wales and Queensland, with Queensland gaining a net 6,700 people from New South Wales, and the second largest net movement was between New South Wales and Victoria with Victoria gaining a net 2,600 from New South Wales.
WHAT'S NEW?
The ASGS
From July 2011, the ABS is replacing the nation's official statistical geography, the Australian Standard Geographical Classification (ASGC), with the new Australian Statistical Geography Standard (ASGS). The ASGS defines more stable, consistent and meaningful units than the ASGC and will become the essential reference for understanding and interpreting the geographical dimension of ABS statistics. For more information about the ASGS, including maps, labels and codes, see Australian Statistical Geography Standard (ASGS): Volume 1 – Main Structure and Greater Capital City Statistical Areas, July 2011 (1270.0.55.001).
Population estimates and the implementation of the Australian Statistical Geography Standard (ASGS)
An ABS Information Paper titled Population Estimates under Australia's New Statistical Geography (3219.0.55.001) was released on 26 August 2011. The purposes of the paper are to:
How will birth and death statistics be affected by the implementation of the Australian Statistical Geography Standard (ASGS)?
Changing statistical geography will result in Births, Australia (3301.0) and Deaths, Australia (3302.0) releasing sub-state data on Statistical Area Level 2 (roughly equivalent to SLAs). As the ASGS will be a more stable and more flexible geography, there will be minimal revisions required to time series data during an intercensal period. The first release of birth and death data on ASGS will be in October/November 2012 for the 2011 reference year and will include a concorded SA2 time series going back 5 or 10 years (dependent on data quality). Birth and death statistics will continue to be released on Local Government Areas (LGAs) in line with official gazetted boundaries.
Information about the changes to the geography are available in appendices attached to the 2010 publications of Births, Australia (3301.0) and Deaths, Australia (3302.0), released in October and November 2011 respectively. Resources to support the transition to the new geography are located in the ABS Geography portal.
Regional internal migration estimates
An ABS Discussion Paper titled Assessment of Methods for Developing Estimates for Regional Internal Migration (3405.0.55.001) was released in November 2011. The purpose of the paper is to summarise a method to convert postcode-based migration data to ASGC boundaries using a population-weighted concordance, discuss challenges with this approach and identify potential solutions to these challenges. Users and stakeholders have the opportunity to provide feedback and to ensure that issues associated with producing experimental internal migration estimates are adequately considered before the ABS produces a regular series of regional internal migration estimates.