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community profile

Gold Coast City

2011 Census results

Comparison year: 2006Benchmark area: Greater Brisbane

Compiled and presented in profile.id®. http://profile.id.com.au/goldcoast

Table of contents

Home 2

Population highlights 4

Population, households and dwellings 5

About the areas 7

About the community profile 8

Service age groups 11

Five year age groups 14

Single year of age 16

Ancestry 19

Birthplace 22

Year of arrival in Australia 24

Proficiency in English 26

Language spoken at home 29

Religion 32

Individual income 34

Individual income quartiles 37

Household income 39

Household income quartiles 42

Equivalised household income 45

Qualifications 47

Highest level of schooling 49

Education institution attending 52

Need for assistance 55

What do we do? 57

Volunteer work 59

Unpaid domestic work 61

Unpaid care 63

Unpaid childcare 65

Employment status 68

Industry sectors of employment 71

Occupations of employment 74

Method of travel to work 77

How do we live? 79

Households summary 82

Households with children 85

Households without children 88

Household size 91

Number of bedrooms per dwelling 94

Housing tenure 97

Housing loan repayments 99

Housing loan quartiles 102

Housing rental payments 104

Housing rental quartiles 107

Internet connection 109

Number of cars per household 111

Dwelling type 114

SEIFA - disadvantage 117

Workers' place of residence 119

Residents place of work 121

Migration summary 123

Migration by location 125

Migration by age 127

Estimated Resident Population (ERP) 129

Residential building approvals 131

Abbreviations 132

Notes - geography 145

Notes - population types 147

Notes - household composition 148

Notes - randomisation of small numbers 149

Notes - overseas visitors and table totals 150

Notes - specific topics 174

Home 176

Population highlights 178

Welcome to Gold Coast City Community Profile

Gold Coast City is located in south-east Queensland, about 78 kilometres south of Brisbane.

The Gold Coast City Community Profile provides demographic analysis for the City and its suburbs based on results

from the 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with

population estimates when the Australian Bureau of Statistics (ABS) releases new figures.

Important

Statistics

Population

526,173ERP 2012

Land area

137,939hectares (1,379 Km )2

Population density

3.81persons per hectare

Gold Coast City

Report a map errorMap data ©2013 GBRMPA, Google - Terms of Use

NEWSThat olechestnut –populationageing inQueensland

(23/09/2013)

Is Queensland becoming

a “pensioners” paradise?Learn more about the

age structure and

population of

Queensland Learn more

here..

This community profile is

just one of a family of

demographic resources

available for this area

and other areas across

Australia. The full suite of

resources includes

community profiles,

population forecasts,

social atlases and

economic profiles. You

can be confident using

them for planning,

research and advocacy

as they are compiled and

maintained with the latest

data by population

Legend

Small areas

Gold Coast City

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http://blog.id.com.au/2013/local-area-analysis/that-ole-chestnut-population-ageing-in-queensland/

experts, .id. Access them

online in the

Demographic Resource

Centre.

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2011 Gold Coast City Greater Brisbane Queensland Australia

Median age 3735 36

37

Median weeklyhouseholdincome

$1,174$1,388 $1,235 $1,234

Couples withchildren 28%

32% 30% 31%

Older coupleswithout children 9%

8%

9% 9%

Medium andhigh densityHousing

43%22% 22% 25%

Householdswith amortgage

32%35% 33% 33%

Median weeklyrent $350

$325 $300 $285

Householdsrenting 34%

32% 32% 29%

Non-Englishspeakingbackgrounds

10%13%

9%

16%

Universityattendance 4%

5%

4% 4%

Bachelor orHigher degree 14%

20% 16% 19%

Vocational 21%18% 20% 18%

Population highlights

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http://profile.id.com.au/gold-coast/household-income

http://profile.id.com.au/gold-coast/households-with-children

http://profile.id.com.au/gold-coast/households-without-children

http://profile.id.com.au/gold-coast/dwellings

http://profile.id.com.au/gold-coast/housing-loan

http://profile.id.com.au/gold-coasthousing-rental

http://profile.id.com.au/gold-coast/housing-rental

http://profile.id.com.au/gold-coast/language

http://profile.id.com.au/gold-coast/education

http://profile.id.com.au/gold-coast/qualifications


Public transport(to work) 4%

13% 7% 10%

Unemployment 7%6% 6% 6%

SEIFA index ofdisadvantage2011

10141018

1002 1002

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The Census provides us with a count of the total population in Gold Coast City in 2011 as well as several sub-

populations such as the Indigenous population, voter population and the overseas born. It also enables us to

see how these have changed over each five year period back to 1991. It is important to note that there are

different ways of counting populations. You can access two population counts on this page – the UsualResidence count and the Enumerated Count – by changing your Data Type selection in the control bar abovethe table. For post 2011 population go to Population Estimates and to read about which population to use

when, go to Population Types.

Population, households and dwellings

Population

Gold Coast City 2011 2006 Change

Number %Greater

Brisbane Number %Greater

Brisbane2006 to

2011

Population (excluding O/S visitors) 494,496 100.0 100.0 433,937 100.0 100.0 +60,559

Males 241,587 48.9 49.3 213,416 49.2 49.2 +28,171

Females 252,909 51.1 50.7 220,521 50.8 50.8 +32,388

Australian citizens 391,737 79.2 83.4 348,668 80.3 85.5 +43,069

Eligible Voters (citizens aged 18+) 300,581 60.8 62.7 267,518 61.6 63.9 +33,063

Overseas Visitors -- -- -- -- -- -- --

Source: Australian Bureau of Statistics, Census of Population and Housing 2006 and 2011. Compiled and presented in profile.id by.id, the population experts.

Dwellings

Total Dwellings 221,334 100.0 100.0 206,423 100.0 100.0 +14,911

Occupied private dwellings 195,587 88.4 92.8 182,329 88.3 93.4 +13,258

Population in non-private dwellings 23,740 -- -- 15,690 -- -- +8,050

Average household size (persons per dwelling) 2.50 -- 2.65 2.49 -- 2.63 +0.01

The 'Dwellings' table is enumerated data.

Culture and ethnicity

Aboriginal and Torres Strait Islander population 6,198 1.3 2.0 4,524 1.0 1.8 +1,674

Australian born 322,539 65.2 70.3 286,324 66.0 72.4 +36,215

Speaks a language other than English at home 50,623 10.2 13.2 37,563 8.7 10.4 +13,060


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http://www.abs.gov.au/census

http://home.id.com.au/about-us/what-does-id-do



Location and boundaries

Gold Coast City is located in south-east Queensland, about 78 kilometres south of Brisbane. Gold Coast City is

bounded by Logan City, Redland City and Moreton Bay in the north, the Coral Sea in the east, the New South Wales

border in the south and the Scenic Rim Regional Council area in the west.

Name origin

In 1958, the South Coast Town Council adopted the Gold Coast Town Council title, and the promotional value of the

name was recognised the following year when the Queensland Government proclaimed the local authority as the City

of the Gold Coast.

About the area

Important

Statistics

Population

494,4962011 Usual residents

Land area

137,939hectares (1,379 Km )2

Population density


Gold Coast City


Legend

Suburbs

Gold Coast City

Electoral Divisions

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Settlement history

European settlement brought the first industry to the area. Timber-getters came in search of red cedar which was

shipped to Sydney for furniture, but many remained to farm the fertile land. The region's future as a fashionable

holiday destination was foreshadowed in the late 1880s when Queensland Governor, Anthony Musgrave, built a

seaside home in Southport. The future of the region was sealed when a new road, linking Brisbane to Southport, was

completed in 1925.

Land use

Gold Coast City covers an area of more than 1400

square kilometres with commercial and urban

development, more than 55 kilometres of beaches,

more than 270 kilometres of navigable waterways

and world heritage forest. Some 77,250 hectares

remain a natural environment that is home to more

than 1300 animal and 1700 plant species.

Indigenous background

The area we know today as Gold Coast City

covers part of the traditional country of the

Yugambeh people, whose descendents are among

our city's residents. Their legacy is the Aboriginal

names - such as Tallebudgera and Coombabah -

for some of our city's suburbs.

Included areas

Gold Coast City includes the suburbs, townships and rural localities of Advancetown, Alberton, Arundel, Ashmore,

Austinville, Benowa, Biggera Waters, Bilinga, Bonogin, Broadbeach, Broadbeach Waters, Bundall, Burleigh Heads,

Burleigh Waters, Carrara, Cedar Creek (part), Clagiraba, Clear Island Waters, Coolangatta, Coombabah, Coomera,

Currumbin, Currumbin Valley, Currumbin Waters, Elanora, Gaven, Gilberton, Gilston, Guanaba, Helensvale, Highland

Park, Hollywell, Hope Island, Jacobs Well, Kingsholme, Labrador, Lower Beechmont, Luscombe, Main Beach,

Maudsland, Mermaid Beach, Mermaid Waters, Merrimac, Miami, Molendinar, Mount Nathan, Mudgeeraba, Natural

Bridge, Nerang, Neranwood, Norwell, Numinbah Valley, Ormeau, Ormeau Hills, Oxenford, Pacific Pines, Palm Beach,

Paradise Point, Parkwood, Pimpama, Reedy Creek, Robina, Runaway Bay, South Stradbroke, Southport, Southern

Moreton Bay Islands, Springbrook, Stapylton, Steiglitz, Surfers Paradise, Tallai, Tallebudgera, Tallebudgera Valley,

Tugun, Upper Coomera, Varsity Lakes, Willow Vale, Wongawallan, Woongoolba, Worongary and Yatala.

Land use

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Demographic change across Australia is recorded by the Australian Bureau of Statistics (ABS) in the Census

collections every five years. Population experts, .id, analyse and convert these raw figures into stories of place to

inform council staff, community groups, investors, business, students and the general public.

Gold Coast City Community Profile provides demographic analysis for the City and its suburbs based on results from

the 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with population

estimates when the Australian Bureau of Statistics (ABS) releases new figures such as the annual Estimated Resident

Population (ERP).

Suburb boundaries and Census questions change over time, but .id manages the data to ensure that there is an

accurate time series provided for the current geographic boundaries. You can read more about this in the Geography

Notes section.

Results for Gold Coast City include population, age structure, ethnicity, ancestry, religion, income, qualifications,

occupations, employment, unemployment, disability, disadvantage, volunteering, childcare, family structure,

household structure, housing tenure, mortgage and rental payments, and the size and type of the dwellings people

live in.

The Community Profile presents this information in clear maps, tables and charts with concise factual commentary to

answer three important questions:

1. What are the characteristics of the people who live here?

2. How are they changing?

3. How do they compare to other areas?

This provides the basis for making evidence-based decisions about how to provide services for the community as it

changes.

You can be confident about the quality of the information as it is derived from Australian Bureau of Statistics data,

analysed and presented by population experts and funded by Gold Coast City.

About the community profile

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The Age Structure of Gold Coast City provides key insights into the level of demand for age based services and

facilities such as child care. It is an indicator of Gold Coast City's residential role and function and how it is likely to

change in the future.

Service age groups divide the population into age categories that reflect typical life-stages. They indicate the level of

demand for services that target people at different stages in life and how that demand is changing.

To get a more complete picture Gold Coast City's Age Structure should be viewed in conjunction with Household

Types and Dwelling Types.

Service age groups

Age structure - service age groups


Service age group (years) Number %Greater

Brisbane % Number %Greater

Brisbane %2006 to

2011

Babies and pre-schoolers (0 to 4) 31,080 6.3 7.0 25,379 5.8 6.7 +5,701

Primary schoolers (5 to 11) 41,993 8.5 9.2 37,327 8.6 9.5 +4,666

Secondary schoolers (12 to 17) 37,593 7.6 8.0 34,219 7.9 8.5 +3,374

Tertiary education & independence (18 to 24) 47,507 9.6 10.5 41,754 9.6 10.5 +5,753

Young workforce (25 to 34) 68,464 13.8 14.8 59,827 13.8 14.4 +8,637

Parents and homebuilders (35 to 49) 106,332 21.5 21.6 94,026 21.7 22.1 +12,306

Older workers & pre-retirees (50 to 59) 61,310 12.4 12.0 56,860 13.1 12.5 +4,450

Empty nesters and retirees (60 to 69) 51,639 10.4 9.0 40,898 9.4 7.9 +10,741

Seniors (70 to 84) 39,350 8.0 6.4 36,401 8.4 6.5 +2,949

Elderly aged (85 and over) 9,228 1.9 1.6 7,187 1.7 1.4 +2,041

Total population 494,496 100.0 100.0 433,878 100.0 100.0 +60,618


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Age structure, 2011

Source: Australian Bureau of Statistics, Census of Population and Housing, 2011 (Usual residence data)Compiled and presented in profile.id by .id, the population experts.

Change in age structure, 2006 to 2011

Source: Australian Bureau of Statistics, Census of Population and Housing, 2006 and 2011 (Usual residence data)Compiled and presented in profile.id by .id, the population experts.

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Dominant groups

Analysis of the service age groups of Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

lower proportion of people in the younger age groups (0 to 17 years) and a higher proportion of people in the older

age groups (60+ years).

Overall, 22.4% of the population was aged between 0 and 17, and 20.3% were aged 60 years and over, compared

with 24.1% and 16.9% respectively for Greater Brisbane.

The major differences between the age structure of Gold Coast City and Greater Brisbane were:

A larger percentage of 'Seniors' (8.0% compared to 6.4%)

A larger percentage of 'Empty nesters and retirees' (10.4% compared to 9.0%)

A smaller percentage of 'Young workforce' (13.8% compared to 14.8%)

A smaller percentage of 'Tertiary education & independence' (9.6% compared to 10.5%)

Emerging groups

From 2006 to 2011, Gold Coast City's population increased by 60,618 people (14.0%). This represents an average

annual population change of 2.65% per year over the period.

The largest changes in age structure in this area between 2006 and 2011 were in the age groups:

Parents and homebuilders (35 to 49) (+12,306 persons)

Empty nesters and retirees (60 to 69) (+10,741 persons)

Young workforce (25 to 34) (+8,637 persons)

Tertiary education & independence (18 to 24) (+5,753 persons)

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facilities such as child care. It is also an indicator of Gold Coast City's residential role and function and how it is likely

to change in the future.

Five year age groups present a classic age profile of the population. Each age group covers exactly five years, which

enables direct comparison between each group.



Five year age groups

Age structure - Five year age groups


Five year age groups (years) Number %Greater


Brisbane2006 to

2011

0 to 4 31,080 6.3 7.0 25,379 5.8 6.7 +5,701

5 to 9 29,761 6.0 6.6 26,425 6.1 6.7 +3,336

10 to 14 30,896 6.2 6.5 27,890 6.4 7.0 +3,006

15 to 19 32,043 6.5 6.9 28,595 6.6 7.1 +3,448

20 to 24 34,393 7.0 7.6 30,390 7.0 7.7 +4,003

25 to 29 34,793 7.0 7.7 28,802 6.6 6.9 +5,991

30 to 34 33,671 6.8 7.2 31,025 7.1 7.5 +2,646

35 to 39 35,932 7.3 7.4 31,820 7.3 7.6 +4,112

40 to 44 36,143 7.3 7.3 31,446 7.2 7.4 +4,697

45 to 49 34,257 6.9 6.9 30,760 7.1 7.1 +3,497

50 to 54 32,335 6.5 6.4 28,240 6.5 6.4 +4,095

55 to 59 28,975 5.9 5.6 28,620 6.6 6.1 +355

60 to 64 28,896 5.8 5.2 23,130 5.3 4.5 +5,766

65 to 69 22,743 4.6 3.8 17,768 4.1 3.3 +4,975

70 to 74 16,971 3.4 2.7 14,268 3.3 2.5 +2,703

75 to 79 12,367 2.5 2.0 12,590 2.9 2.3 -223

80 to 84 10,012 2.0 1.6 9,543 2.2 1.7 +469

85 and over 9,228 1.9 1.6 7,246 1.7 1.4 +1,982

Total 494,496 100.0 100.0 433,937 100.0 100.0 +60,559


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Five year age structure, 2011


Change in five year age structure, 2006 to 2011


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Dominant groups

Analysis of the five year age groups of Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

lower proportion of people in the younger age groups (under 15) and a higher proportion of people in the older age

groups (65+).




A larger percentage of persons aged 65 to 69 (4.6% compared to 3.8%)



A smaller percentage of persons aged 0 to 4 (6.3% compared to 7.0%)

Emerging groups




25 to 29 (+5,991 persons)

60 to 64 (+5,766 persons)

0 to 4 (+5,701 persons)

65 to 69 (+4,975 persons)

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facilities. It is also an indicator of Gold Coast City's demographic role and function and how it is likely to change in the

future.

Single year of age data is presented as an age-sex pyramid which enables the shape of the population to be

compared geographically, temporally and by gender. For example, longer female life expectancy usually leads to the

pyramid skewing to the right in the older age groups.



.

Single year of age

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Age and sex pyramid, 2011


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Ancestry defines the cultural association and ethnic background of an individual going back three generations.

Ancestry is a good measure of the total size of cultural groups in Gold Coast City regardless of where they were born

or what language they speak.

Ancestry data, should be combined with data on Birthplace, Language Spoken at Home and Religion for a more

complete picture of Gold Coast City's ethnic characteristics.

Ancestry

Ancestry - ranked by size


Ancestry Number %Greater


Brisbane2006 to

2011

English 195,897 39.6 36.7 161,388 37.2 35.1 +34,509

Australian 157,320 31.8 34.6 153,751 35.4 39.0 +3,569

Irish 50,926 10.3 11.5 42,442 9.8 11.0 +8,484

Scottish 47,153 9.5 9.8 37,678 8.7 9.1 +9,475

German 23,562 4.8 5.9 20,230 4.7 5.9 +3,332

Italian 12,236 2.5 2.5 10,372 2.4 2.4 +1,864

New Zealander 11,337 2.3 1.5 8,802 2.0 1.4 +2,535

Chinese 10,536 2.1 3.4 7,889 1.8 2.8 +2,647

Maori 10,353 2.1 1.3 6,293 1.5 0.9 +4,060

Dutch 8,280 1.7 1.7 7,392 1.7 1.7 +888

Excludes ancestries with fewer than 20 responses, or less than 0.1% of the total population.

Ancestry - totals


Ancestry totals Number %Greater


Brisbane2006 to

2011

Not stated 39,055 7.9 6.4 42,836 9.9 7.7 -3,781

Total People 494,496 100.0 100.0 433,878 100.0 100.0 +60,618

Total responses 653,058 -- -- 564,451 -- -- +88,607


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Ancestry, 2011


Change in ancestry, 2006 to 2011


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Dominant groups

Analysis of the ancestry responses of the population in Gold Coast City in 2011 shows that the top five ancestries

nominated were:

English (195,897 people or 39.6%)

Australian (157,320 people or 31.8%)

Irish (50,926 people or 10.3%)

Scottish (47,153 people or 9.5%)

German (23,562 people or 4.8%)

In combination these five ancestries account for 474,858 responses in total, or 96.03% of all responses.

The major differences between the ancestries of the population in Gold Coast City and Greater Brisbane were:

A larger percentage of people with English ancestry (39.6% compared to 36.7%)

A smaller percentage of people with Australian ancestry (31.8% compared to 34.6%)

A smaller percentage of people with Irish ancestry (10.3% compared to 11.5%)

A smaller percentage of people with Chinese ancestry (2.1% compared to 3.4%)

Emerging groups

The largest changes in the reported ancestries of the population in this area between 2006 and 2011 were:

English (+34,509 persons)

Scottish (+9,475 persons)

Irish (+8,484 persons)

Māori (+4,060 persons)

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Country of Birth data identifies where people were born and is indicative of the level of cultural diversity in Gold Coast

City. The mix of Country of Birth groups is also indicative of historical settlement patterns, as source countries for

Australia's immigration program have varied significantly over time.

To get a more complete picture of cultural and ethnic characteristics, Gold Coast City's Country of Birth data should

be viewed together with Ancestry, Language Spoken at Home and Religion.

Birthplace

Birthplace - ranked by size


Country of birth Number %Greater


Brisbane2006 to

2011

New Zealand 42,543 8.6 4.8 32,419 7.5 4.1 +10,124

United Kingdom 32,601 6.6 5.3 28,533 6.6 5.4 +4,068

South Africa 5,888 1.2 0.9 3,710 0.9 0.7 +2,178

Japan 3,682 0.7 0.2 3,057 0.7 0.2 +625

China 3,430 0.7 1.0 1,922 0.4 0.6 +1,508

Philippines 3,024 0.6 0.8 2,248 0.5 0.6 +776

Germany 2,926 0.6 0.5 2,839 0.7 0.5 +87

India 2,669 0.5 1.1 1,149 0.3 0.4 +1,520

South Korea 2,547 0.5 0.4 1,806 0.4 0.3 +741

United States of America 2,287 0.5 0.4 1,723 0.4 0.3 +564

Excludes countries with fewer than 20 people, or less than 0.1% of the total population.

Birthplace - summary


Birthplace Number %Greater


Brisbane2006 to

2011

Total Overseas born 137,791 27.9 24.6 109,517 25.2 21.4 +28,274

Non-English speaking backgrounds 51,652 10.4 12.6 40,959 9.4 10.4 +10,693

Main English speaking countries 86,139 17.4 12.0 68,558 15.8 11.0 +17,581

Australia 322,539 65.2 70.3 286,324 66.0 72.3 +36,215

Not Stated 34,170 6.9 5.1 38,162 8.8 6.2 -3,992

Total Population 494,500 100.0 100.0 434,003 100.0 100.0 +60,497


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Country of birth, 2011


Change in country of birth, 2006 to 2011


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Dominant groups

Analysis of the country of birth of the population in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a larger proportion of people born overseas, and a larger proportion of people from a non-English

speaking background.

Overall, 27.9% of the population was born overseas, and 10.4% were from a non-English speaking background,

compared with 24.6% and 12.6% respectively for Greater Brisbane.

The largest non-English speaking country of birth in Gold Coast City was Japan, where 0.7% of the population, or

3,682 people, were born.

The major differences between the countries of birth of the population in Gold Coast City and Greater Brisbane were:

A larger percentage of people born in New Zealand (8.6% compared to 4.8%)

A larger percentage of people born in United Kingdom (6.6% compared to 5.3%)

Emerging groups

Between 2006 and 2011, the number of people born overseas increased by 28,274 or 25.8%, and the number of

people from a non-English speaking background increased by 10,693 or 26.1%.

The largest changes in birthplace countries of the population in this area between 2006 and 2011 were for those

born in:

New Zealand (+10,124 persons)

United Kingdom (+4,068 persons)

South Africa (+2,178 persons)

India (+1,520 persons)

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The Year of Arrival data records when the overseas born population arrived in Australia. The data shows the degree

to which areas are 'ports' for new overseas migrants and reveals the role of Gold Coast City in housing the overseas-

born. The number of recent arrivals in an area is often determined by housing affordability, employment opportunities

and pre-existing communities located in the area.

Gold Coast City's Year of Arrival data, when used with Birthplace, Religion and Language Spoken at Home data, is a

good indicator of the likely need for services in migrant communities.

Year of arrival in Australia


Gold Coast City 2011

Year of arrival in Australia Number %Greater

Brisbane

2006 to 9 Aug 2011 35,058 25.4 27.3

2001 to 2005 18,194 13.2 12.9

1991 to 2000 (10 year period) 23,027 16.7 15.9

1981 to 1990 (10 year period) 19,617 14.2 15.0

1971 to 1980 (10 year period) 13,350 9.7 9.8

1961 to 1970 (10 year period) 12,299 8.9 8.4

Arrived in 1960 or earlier 10,231 7.4 6.3

Not stated 6,273 4.5 4.4

Total 138,049 100.0 100.0


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Dominant groups

Analysis of the year of arrival for the overseas born population of Gold Coast City in 2011 compared to Greater

Brisbane shows that there was a larger proportion of people who arrived before 2001, and a smaller proportion of

recent arrivals (those who arrived between 2006 and 2011).

Overall, 56.9% of the overseas born population arrived before 2001, and 25.4% arrived during or after 2006,


The major differences between the year of arrival data of Gold Coast City and Greater Brisbane were:

A larger percentage of arrivals between in 1960 or earlier (7.4% compared to 6.3%)

A larger percentage of arrivals between 1991 and 2000 (16.7% compared to 15.9%)

A smaller percentage of arrivals between 2006 and 9 Aug 2011 (25.4% compared to 27.3%)

A smaller percentage of arrivals between 1981 and 1990 (14.2% compared to 15.0%)

Year of arrival in Australia, 2011


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Proficiency in English measures the self-assessed proficiency in spoken English of people who speak a language

other than English at home. The data, when viewed with other ethnic and cultural indicators, such as Ancestry,

Country of Birth, Language Spoken at Home and Religion, reflects Gold Coast City's ethnic composition and how long

the overseas born have been in Australia. This helps service providers determine whether they need to communicate

with the local population in languages other than English.

Proficiency in English



English proficiency Number %Greater


Brisbane2006 to

2011

Speaks English only 412,654 83.4 82.1 363,339 83.7 84.2 +49,315

Speaks another language, and English well or very well 44,699 9.0 11.3 32,928 7.6 8.7 +11,771

Speaks another language, and English not well or not at

al l

6,648 1.3 2.0 5,134 1.2 1.8 +1,514

Not Stated 30,500 6.2 4.6 32,599 7.5 5.3 -2,099



Proficiency in English, 2011


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Dominant groups

Analysis of the proficiency in English data for Gold Coast City in 2011 compared to Greater Brisbane shows that there

was a higher proportion of persons who spoke English only, and a lower proportion of persons who spoke another

language and English not well or not at all.

Overall, 83.4% of persons spoke English only, and 1.3% spoke another language and English not well or not at all,


Emerging groups

The most significant changes in the proficiency in English of the population in this area between 2006 and 2011 were

in those speaking:

Speaks English only (+49,315 persons)

Speaks another language, and English well or very well (+11,771 persons)

Speaks another language, and English not well or not at all (+1,514 persons)

Change in proficiency in English, 2006 to 2011


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Gold Coast City's language statistics show the proportion of the population who speak a language at home other than

English. They indicate how culturally diverse a population is and the degree to which different ethnic groups and

nationalities are retaining their language.

Gold Coast City's language statistics should be analysed in conjunction with Country of Birth and Proficiency in

English to assist in identifying specific cultural and ethnic groups in the area and the services required by the

multicultural community.

Language spoken at home

Language spoken at home - ranked by size


Language (excludes English) Number %Greater


Brisbane2006 to

2011

Japanese 4,709 1.0 0.2 3,754 0.9 0.2 +955

Mandarin 4,267 0.9 1.5 2,784 0.6 1.1 +1,483

Korean 2,807 0.6 0.4 1,929 0.4 0.3 +878

Cantonese 2,443 0.5 0.9 2,293 0.5 0.8 +150

Italian 2,419 0.5 0.5 2,423 0.6 0.6 -4

German 2,307 0.5 0.4 2,187 0.5 0.3 +120

Spanish 2,151 0.4 0.5 1,512 0.3 0.4 +639

Filipino/Tagalog 1,991 0.4 0.6 1,390 0.3 0.4 +601

French 1,796 0.4 0.2 1,469 0.3 0.2 +327

Arabic 1,568 0.3 0.4 1,015 0.2 0.3 +553

Excludes languages with fewer than 20 people speaking them at home, or less than 0.1% of the total population.

Language - summary


Language summary Number %Greater


Brisbane2006 to

2011


Non-English total 50,623 10.2 13.2 37,563 8.7 10.4 +13,060

Not stated 31,217 6.3 4.7 33,080 7.6 5.4 -1,863



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Language spoken at home, 2011


Change in language spoken at home, 2006 to 2011


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Dominant groups

Analysis of the language spoken at home by the population of Gold Coast City in 2011 compared to Greater Brisbane

shows that there was a larger proportion of people who spoke English only, and a smaller proportion of those

speaking a non-English language (either exclusively, or in addition to English).

Overall, 83.4% of the population spoke English only, and 10.2% spoke a non-English language, compared with 82.1%

and 13.2% respectively for Greater Brisbane.

The dominant language spoken at home, other than English, in Gold Coast City was Japanese, with 1.0% of the

population, or 4,709 people speaking this language at home.

There were no major differences between Gold Coast City and Greater Brisbane in 2011.

Emerging groups

Between 2006 and 2011, the number of people who spoke a language other than English at home increased by

13,060 or 34.8%, and the number of people who spoke English only increased by 49,295 or 13.6%.

The largest changes in the spoken languages of the population in Gold Coast City between 2006 and 2011 were for

those speaking:

Mandarin (+1,483 persons)

Japanese (+955 persons)

Korean (+878 persons)

Spanish (+639 persons)

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Gold Coast City's religion statistics provide an indicator of cultural identity and ethnicity when observed in conjunction

with other key variables. Religion data reveal the major concentrations of religions as well as revealing the proportion

of people with no religious affiliation. There are a number of reasons for different religious compositions across areas

including the country of birth and ethnic background of the population, the age of the population (belief in religion is

generally stronger, the older the population) and changes in values and belief systems.

Gold Coast City's religion statistics should be analysed in conjunction with other ethnicity statistics such as Country of

Birth data and Language Spoken data to assist in identifying specific cultural and ethnic groups.

Religion

Religions - ranked by size


Religion Number %Greater


Brisbane2006 to

2011

Western (Roman) Catholic 115,376 23.3 24.1 100,336 23.1 24.5 +15,040

Anglican 103,176 20.9 17.1 95,925 22.1 19.0 +7,251

Uniting Church 24,390 4.9 6.0 23,706 5.5 6.9 +684

Presbyterian and Reformed 17,688 3.6 3.2 16,496 3.8 3.4 +1,192

Christian,nfd 15,360 3.1 2.8 9,181 2.1 2.0 +6,179

Buddhism 7,949 1.6 2.0 5,474 1.3 1.8 +2,475

Baptist 7,114 1.4 2.3 5,974 1.4 2.2 +1,140

Pentecostal 6,652 1.3 1.6 5,641 1.3 1.6 +1,011

Lutheran 6,448 1.3 1.7 6,104 1.4 1.8 +344

Islam 4,036 0.8 1.2 2,618 0.6 0.8 +1,418

Excludes religions with fewer than 20 adherents, or less than 0.1% of the total population.

Religions - summary


Religion totals Number %Greater


Brisbane2006 to

2011

Christian total 313,083 63.3 62.8 278,140 64.1 65.5 +34,943

Non Christian total 18,722 3.8 5.2 12,186 2.8 3.8 +6,536

Non-classifiable religious belief 4,663 0.9 0.8 3,106 0.7 0.7 +1,557

No religion 110,298 22.3 22.8 83,446 19.2 18.9 +26,852

Not stated 47,736 9.7 8.3 57,107 13.2 11.1 -9,371



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Religion, 2011


Change in religion, 2006 to 2011


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Dominant groups

Analysis of the religious affiliation of the population of Gold Coast City in 2011 compared to Greater Brisbane shows

that there was a lower proportion of people who professed a religion as well as a lower proportion who stated they

had no religion.

Overall, 67.1% of the population nominated a religion, and 22.3% said they had no religion, compared with 68.0%


The largest single religion in Gold Coast City was Western (Roman) Catholic, with 23.3% of the population or 115,376

people as adherents.

The major differences between the religious affiliation for the population of Gold Coast City and Greater Brisbane

were:

A larger percentage who nominated Anglican (20.9% compared to 17.1%)

A smaller percentage who nominated Uniting Church (4.9% compared to 6.0%)

Emerging groups

The largest changes in the religious affiliation of the population in Gold Coast City between 2006 and 2011 were for

those who nominated:

Western (Roman) Catholic (+15,040 persons)

Anglican (+7,251 persons)

Christian,nfd (+6,179 persons)

Buddhism (+2,475 persons)

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Individual Income statistics are an indicator of socio-economic status. With other data sources, such as Household

Income, Educational Qualifications and Occupation, they help tell the story of the economic opportunities and socio-

economic status of Gold Coast City. The amount of income an individual receives is linked to a number of factors

including employment status, age (as for instance students and retirees often receive a lower income), qualifications

and type of employment.

The incomes presented on this page are for the latest Census year only. For comparison of incomes over time, go to

Individual Income Quartiles.

Individual income

Weekly individual gross income


Weekly income Number %Greater

Brisbane

Negative Income/ Nil income 31,863 7.9 8.0

$1-$199 27,770 6.9 7.2

$200-$299 40,158 10.0 9.1

$300-$399 39,017 9.7 9.1

$400-$599 51,571 12.8 11.2

$600-$799 47,730 11.9 10.8

$800-$999 35,983 8.9 9.0

$1000-$1249 31,521 7.8 8.8

$1250-$1499 20,668 5.1 6.2

$1500-$1999 21,377 5.3 7.0

$2000 or more 18,387 4.6 6.3

Not stated 36,719 9.1 7.2

Total persons aged 15+ 402,764 100.0 100.0


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Dominant groups

Analysis of individual income levels in Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

lower proportion of persons earning a high income (those earning $1,500 per week or more) and a higher proportion

of low income persons (those earning less than $400 per week).

Overall, 9.9% of the population earned a high income, and 34.5% earned a low income, compared with 13.4% and

33.4% respectively for Greater Brisbane.

The major differences between Gold Coast City's individual incomes and Greater Brisbane's individual incomes were:

A larger percentage of persons who earned $400-$599 (12.8% compared to 11.2%)



A smaller percentage of persons who earned $2000 or more (4.6% compared to 6.3%)

Weekly individual gross income, 2011


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Gold Coast City's income statistics are an indicator of socio-economic status. With other data sources, such as

Household Income, Educational Qualifications and Occupation, they help tell the story of the area's economic

opportunities and socio-economic status. Individual income levels are not comparable over time because of the

influences of economic change such as wage level fluctuations and inflation. The income quartile method is the most

objective method of comparing change in the income profile of a community over time.

A detailed explanation of how Individual Income quartiles are calculated and interpreted is available in specific data

notes.

Individual income quartiles



Quartile group Number %Greater


Brisbane2006 to

2011

Lowest group 92,532 25.3 24.4 76,375 24.2 24.3 +16,157

Medium lowest 94,446 25.8 22.9 80,551 25.5 23.2 +13,895

Medium highest 96,894 26.5 25.1 84,010 26.6 24.9 +12,883

Highest group 82,171 22.4 27.6 74,923 23.7 27.6 +7,247

Total persons aged 15+ 366,044 100.0 100.0 315,862 100.0 100.0 +50,183


Quartile group dollar ranges (Individuals)

Calculated from income data for Queensland Weekly income by Census year

Individual quartile ranges 2011 2006 2001

Lowest group $0 to $281 $0 to $221 $0 to $182

Medium lowest $282 to $585 $222 to $476 $183 to $361

Medium highest $586 to $1,077 $477 to $853 $362 to $641

Highest group $1,078 and over $854 and over $642 and over

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Individual income quartiles, 2011


Change in individual income quartiles, 2006 to 2011


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Dominant groups

Income quartiles allow us to compare relative income-earning capabilities across time. Analysis of the distribution of

the population by income quartile in Gold Coast City compared to Greater Brisbane shows that there was lesser

proportion of persons in the highest income quartile, and a greater proportion in the lowest income quartile.

Emerging groups

The most significant change in Gold Coast City between 2006 and 2011 was in the lowest quartile which showed an

increase of 16,157 persons.

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Households form the common 'economic unit' in our society. Gold Coast City's Household Income is one of the most

important indicators of socio-economic status. With other data sources, such as Educational Qualifications and

Occupation, it helps to reveal the economic opportunities and socio-economic status of Gold Coast City. It is

important to note that income data is not necessarily a measure of wealth. For example, if an area has a large

number of retirees this will produce a higher proportion of households with low income but the retirees may have large

capital wealth. For this reason, household income should be viewed in conjunction with Age and Household

Composition.


Household Income Quartiles.

Household income

Weekly household income



Brisbane

Negative Income/Nil Income 3,048 1.6 1.2

$1-$199 2,776 1.5 1.2

$200-$299 4,666 2.5 2.1

$300-$399 10,338 5.6 5.2

$400-$599 17,889 9.6 8.1

$600-$799 17,145 9.2 7.7

$800-$999 16,406 8.8 7.3

$1000-$1249 15,758 8.5 8.0

$1250-$1499 14,825 8.0 7.5

$1500-$1999 21,628 11.6 12.2

$2000-$2499 15,496 8.3 9.5

$2500-$2999 11,873 6.4 8.6

$3000-$3499 6,924 3.7 5.2

$3500-$3999 2,771 1.5 2.4

$4000-$4999 2,114 1.1 2.0

$5000 or more 2,069 1.1 1.6

Not stated 20,194 10.9 10.2

Total households 185,920 100.0 100.0


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Dominant groups

Analysis of household income levels in Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

smaller proportion of high income households (those earning $2,500 per week or more) and a higher proportion of

low income households (those earning less than $600 per week).

Overall, 13.9% of the households earned a high income, and 20.8% were low income households, compared with

19.7% and 17.8% respectively for Greater Brisbane.

The major differences between the household incomes of Gold Coast City and Greater Brisbane were:

A larger percentage of households who earned $400-$599 (9.6% compared to 8.1%)



A smaller percentage of households who earned $2500-$2999 (6.4% compared to 8.6%)

Weekly household income, 2011

Source: Australian Bureau of Statistics, Census of Population and Housing, 2011 (Enumerated data)Compiled and presented in profile.id by .id, the population experts.

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Households form the common 'economic unit' in our society. Household Income is one of the most important indicators

of socio-economic status. With other data sources, such as Educational Qualifications and Occupation, it helps to

reveal Gold Coast City's socio-economic status and economic opportunities. Household income levels are not

comparable over time because of the influences of economic change such as wage level fluctuations and inflation.

The income quartile method is a powerful and objective way of looking at income data and in particular, how it is

changing.

A detailed explanation of how Household Income quartiles are calculated and interpreted is available in specific data

notes.

Household income quartiles





Brisbane2006 to

2011

Lowest group 42,307 25.5 21.6 36,756 24.6 21.9 +5,551

Medium lowest 44,305 26.7 23.0 38,689 25.9 23.7 +5,616

Medium highest 42,429 25.6 25.9 38,646 25.8 25.4 +3,783

Highest group 36,683 22.1 29.4 35,470 23.7 28.9 +1,213

Total Households 165,726 100.0 100.0 149,563 100.0 100.0 +16,163


Quartile group dollar ranges (Households)


Household income ranges 2011 2006 2001 1996 1991

Lowest group $0 to $641 $0 to $554 $0 to $405 $0 to $336 $0 to $297

Medium lowest $642 to $1,226 $555 to $1,031 $406 to $734 $337 to $611 $298 to $528

Medium highest $1,227 to $2,146 $1,032 to $1,646 $735 to $1,230 $612 to $996 $529 to $868

Highest group $2,147 and over $1,647 and over $1,231 and over $997 and over $869 and over

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Household income quartiles, 2011


Change in household income quartile, 2006 to 2011

Source: Australian Bureau of Statistics, Census of Population and Housing, 2006 and 2011 (Enumerated data)Compiled and presented in profile.id by .id, the population experts.

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Dominant groups


households by income quartile in Gold Coast City compared to Greater Brisbane shows that there was lesser

proportion of households in the highest income quartile, and a greater proportion in the lowest income quartile.

Emerging groups

The most significant change in Gold Coast City between 2006 and 2011 was in the medium lowest quartile which

showed an increase of 5,616 households.

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While Household Income is a useful measure, it is difficult to tell if changes over time and between geographic areas

are due to actual changes in income levels, or due to changes in household size and composition. For example, an

increase in lower income households could be due to job losses in key economic sectors, or simply due to decreasing

household size as adult children leave home.

Equivalised Household Income puts all households on an equal footing independent of household size and

composition to enable a true comparison between areas and over time. It is an indicator of the income resource

available to a household of standard size and is the best measure of the changing economic fortunes of households

living in Gold Coast City.

A detailed explanation of how Equivalised Household Income quartiles are calculated and interpreted is available in

specific data notes.

Equivalised household income

Equivalised household income quartiles




Brisbane2006 to

2011

Lowest group 40,761 25.2 21.9 34,232 24.1 22.2 +6,529

Medium lowest 43,562 26.9 23.3 36,394 25.7 23.3 +7,168

Medium highest 41,850 25.8 25.9 36,894 26.0 25.7 +4,957

Highest group 35,837 22.1 29.0 34,295 24.2 28.8 +1,542



Quartile group dollar ranges (Equivalised household income)


Equivalised household income ranges 2011 2006 2001





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Equivalised household income quartiles, 2011


Change in equivalised household income quartiles, 2006 to 2011


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Dominant groups

Equivalised income quartiles allow us to compare relative income-earning capabilities across time. Because the data

are equivalised, households of different size and composition are placed on an equal footing.

Analysis of the distribution of households by income quartile in Gold Coast City compared to Greater Brisbane shows

that there was a lesser proportion of households in the highest equivalised income quartile, and a greater proportion

in the lowest equivalised income quartile.

Emerging groups



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Educational Qualifications relate to education outside of primary and secondary school and are one of the most

important indicators of socio-economic status. With other data sources, such as Employment Status, Income and

Occupation, Gold Coast City's Educational Qualifications help to evaluate the economic opportunities and socio-

economic status of the area and identify skill gaps in the labour market.

Qualifications

Highest qualification achieved


Qualification level Number %Greater


Brisbane2006 to

2011

Bachelor or Higher degree 57,643 14.3 20.1 39,929 11.3 16.6 +17,714

Advanced Diploma or Diploma 35,452 8.8 8.0 26,470 7.5 7.2 +8,982

Vocational 83,460 20.7 18.1 67,046 18.9 16.6 +16,414

No qualification 176,197 43.7 44.0 165,796 46.8 47.9 +10,401

Not stated 50,026 12.4 9.7 55,002 15.5 11.8 -4,976



Highest qualification achieved, 2011


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Dominant groups

Analysis of the qualifications of the population in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a lower proportion of people holding formal qualifications (Bachelor or higher degree; Advanced Diploma or

Diploma; or Vocational qualifications), and a similar proportion of people with no formal qualifications.

Overall, 43.8% of the population aged 15 and over held educational qualifications, and 43.7% had no qualifications,


The major differences between qualifications held by the population of Gold Coast City and Greater Brisbane were:

A larger percentage of persons with Vocational qualifications (20.7% compared to 18.1%)

A smaller percentage of persons with Bachelor or Higher degrees (14.3% compared to 20.1%)

Emerging groups

The largest changes in the qualifications of the population in Gold Coast City between 2006 and 2011 were in those

with:

Bachelor or Higher degrees (+17,714 persons)

Vocational qualifications (+16,414 persons)

No qualifications (+10,401 persons)

Advanced Diploma or Diplomas (+8,982 persons)

Change in highest qualification achieved, 2006 to 2011


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Gold Coast City's school completion data is a useful indicator of socio-economic status. With other indicators, such as

Proficiency in English, the data informs planners and decision-makers about people's ability to access services.

Combined with Educational Qualifications it also allows assessment of the skill base of the population.

Highest level of schooling

Highest level of secondary schooling completed


Level of schooling Number %Greater


Brisbane2006 to

2011

Year 8 or below 14,886 3.7 5.2 16,522 4.7 6.5 -1,636

Year 9 or equivalent 21,205 5.3 4.5 20,821 5.9 5.1 +384

Year 10 or equivalent 96,809 24.0 21.8 92,514 26.1 24.3 +4,295



Did not go to school 1,180 0.3 0.5 1,045 0.3 0.5 +135

Not stated 38,364 9.5 7.5 41,939 11.8 9.0 -3,575



Highest level of schooling completed, 2011


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Dominant groups

Analysis of the highest level of schooling attained by the population in Gold Coast City in 2011 compared to Greater

Brisbane shows that there was a higher proportion of people who had left school at an early level (Year 10 or less)

and a lower proportion of people who completed Year 12 or equivalent.

Overall, 33.3% of the population left school at Year 10 or below, and 47.8% went on to complete Year 12 or

equivalent, compared with 32.1% and 52.8% respectively for Greater Brisbane.

The major differences between the level of schooling attained by the population in Gold Coast City and Greater

Brisbane were:

A larger percentage of persons who completed year 10 or equivalent (24.0% compared to 21.8%)

A larger percentage of persons who completed year 11 or equivalent (9.4% compared to 7.5%)

A smaller percentage of persons who completed year 12 or equivalent (47.8% compared to 52.8%)

A smaller percentage of persons who completed year 8 or below (3.7% compared to 5.2%)

Emerging groups

The largest changes in the level of schooling attained by the population in Gold Coast City, between 2006 and 2011

were:

Year 12 or equivalent (+44,296 persons)



Year 8 or below (-1,636 persons)

Change in highest level of schooling completed, 2006 to 2011


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The share of Gold Coast City's population attending educational institutions reflects the age structure of the

population, which influences the number of children attending school; proximity to tertiary education, which can mean

young adults leaving home to be nearer to educational facilities and; the degree to which people are seeking out

educational opportunities in adulthood, especially in their late teens and early twenties.

This data is often combined with Age Structure to identify areas with significant university student populations.

Education institution attending

Education institute attending


Type of institute Number %Greater


Brisbane2006 to

2011

Pre-school 6,401 1.3 1.2 6,374 1.5 1.5 +27

Primary school 39,796 8.0 8.7 34,037 7.8 8.8 +5,759

Primary - Government 25,749 5.2 5.9 22,701 5.2 6.2 +3,048

Primary - Catholic 5,791 1.2 1.7 4,625 1.1 1.6 +1,166

Primary - Independent 8,256 1.7 1.1 6,711 1.5 1.0 +1,545

Secondary school 28,097 5.7 6.0 24,058 5.5 6.1 +4,039

Secondary - Government 16,691 3.4 3.3 14,574 3.4 3.5 +2,117

Secondary - Catholic 3,423 0.7 1.3 2,589 0.6 1.3 +834

Secondary - Independent 7,983 1.6 1.4 6,895 1.6 1.4 +1,088

TAFE 9,660 2.0 2.0 7,443 1.7 1.9 +2,217

University 21,193 4.3 5.2 14,090 3.2 4.7 +7,103

Other 3,718 0.8 0.8 2,434 0.6 0.6 +1,284

Not attending 346,503 70.1 69.8 301,933 69.6 68.7 +44,570

Not stated 39,132 7.9 6.4 43,568 10.0 7.6 -4,436

Total 494,500 100.0 100.0 433,937 100.0 100.0 +60,563


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Education institute attending, 2011


Change in education institute attending, 2006 to 2011


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Dominant groups

Analysis of the share of the population attending educational institutions in Gold Coast City in 2011 compared to

Greater Brisbane shows that there was a lower proportion attending primary school, a similar proportion attending

secondary school, and a lower proportion engaged in tertiary level education.

Overall, 8.0% of the population were attending primary school, 5.7% of the population were attending secondary

institutions, and 6.2% were learning at a tertiary level, compared with 8.7%, 6.0% and 7.2% respectively for Greater

Brisbane.


Emerging groups

From 2006 to 2011, Gold Coast City's population aged 15 years and over increased by 60,563 people (+14.0%). This

represents an average annual change of 2.65% per year over the period.

The largest changes in the number of people attending education institutions in Gold Coast City, between 2006 and

2011 were in those who nominated:

University (+7,103 persons)

Primary school (+5,759 persons)

Secondary school (+4,039 persons)

Primary - Government (+3,048 persons)

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Gold Coast City's disability statistics relate directly to need for assistance due to a severe or profound disability. The

information may be used in the planning of local facilities, services such as day-care and occasional care and in the

provision of information and support to carers. Gold Coast City's disability statistics help in understanding the

prevalence of people who need support in the community, and along with information on Unpaid Care to a person with

a disability, how that support is provided.

Please note: A person's reported need for assistance is based on a subjective assessment and should therefore be

treated with caution. See the specific data notes for further detail.

Need for assistance

Need for assistance with core activities


Assistance needed by age group (years) Number% of total

age groupGreater

Brisbane Number% of total

age groupGreater

Brisbane2006 to

2011

0 to 4 309 1.0 1.0 199 0.8 0.9 +110

5 to 9 704 2.4 2.6 491 1.9 2.2 +213

10 to 19 1,254 2.0 2.4 920 1.6 1.9 +334

20 to 59 5,177 1.9 2.2 4,257 1.8 2.0 +920

60 to 64 1,586 5.5 6.2 1,100 4.7 5.6 +486

65 to 69 1,478 6.5 7.6 889 5.0 6.5 +589

70 to 74 1,511 8.9 10.5 1,035 7.3 9.0 +476

75 to 79 1,869 15.2 16.1 1,626 12.8 15.2 +243

80 to 84 2,533 25.3 26.7 2,302 24.2 26.7 +231

85 and over 4,168 44.8 47.7 3,056 41.9 45.9 +1,112

Total persons needing assistance 20,589 4.2 4.2 15,875 3.7 3.8 +4,714

Need for assistance with core activities


Assistance needed by age group (years) Number %Greater


Brisbane2006 to

2011

Total persons needing assistance 20,589 4.2 4.2 15,875 3.7 3.8 +4,714

Total persons not needing assistance 439,912 89.0 90.5 382,203 88.1 90.1 +57,709

Not stated 34,016 6.9 5.3 35,870 8.3 6.1 -1,854



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Need for assistance with core activities, 2011


Change in need for assistance with core activities, 2006 to 2011


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Dominant groups

Analysis of the need for assistance of persons in Gold Coast City compared to Greater Brisbane shows that there

was a similar proportion of persons who reported needing assistance with core activities.

Overall, 4.2% of the population reported needing assistance with core activities, compared with 4.2% for Greater

Brisbane.

The major differences in the age groups reporting a need for assistance in Gold Coast City and Greater Brisbane

were:

A smaller percentage of persons aged 85 and over (44.8% compared to 47.7%)




Emerging groups

The major differences in the age groups reporting a need for assistance between 2006 and 2011 in Gold Coast City

were in the age groups:

85 and over (+1,112 persons)

20 to 59 (+920 persons)

65 to 69 (+589 persons)

60 to 64 (+486 persons)

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Employment status

What is our employment status?

Industries

What industries do we work in?

Occupations

What are our occupations?

Method of travel to work

How do we get to work?

Volunteering

Do we do unpaid work?

Domestic work

Unpaid domestic work

Care

Unpaid care

Childcare

Unpaid childcare

Individual income

Weekly individual income



Household income


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http://profile.id.com.au/gold-coast/travel-to-work?na=10

http://profile.id.com.au/gold-coast/volunteering?na=10

http://profile.id.com.au/gold-coast/domestic-work?na=10


http://profile.id.com.au/gold-coast/unpaid-childcare?na=10

http://profile.id.com.au/gold-coast/individual-income?na=10






Equivalised Household Income Quartiles

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http://profile.id.com.au/gold-coast/equivalised-household-income-quartiles?na=10

The voluntary work sector is an important part of Australia's economy. The level of volunteering can indicate the

cohesiveness of the community and how readily individuals are able to contribute to that community. Factors

impacting on the level of volunteering in Gold Coast City include the Age Structure of the population, the level of

Proficiency in English, Income and Education levels.

Volunteer work

Voluntary work


Volunteer status Number %Greater


Brisbane2006 to

2011

Volunteer 60,096 14.9 18.8 48,603 13.7 17.6 +11,493

Not a volunteer 304,791 75.7 73.8 264,454 74.6 73.6 +40,337

Volunteer work not stated 37,873 9.4 7.4 41,268 11.6 8.7 -3,395



Voluntary work, 2011


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Dominant groups

Analysis of the voluntary work performed by the population in Gold Coast City in 2011 compared to Greater Brisbane

shows that there was a lower proportion of persons who volunteered for an organisation or group.

Overall, 14.9% of the population reported performing voluntary work, compared with 18.8% for Greater Brisbane.

Emerging groups

The number of volunteers in Gold Coast City increased by 11,493 people between 2006 and 2011.

Change in voluntary work, 2006 to 2011


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There has been increased interest in identifying, acknowledging and valuing the unpaid work that supports home and

community life. The changing amount of time spent on unpaid housework in different Household Types and,

particularly the distribution of this work within the household, can indicate the changing roles of males, females and

older children in society. The level of unpaid domestic work in Gold Coast City may also be related to Household

Income, as higher income households are able to outsource some of these tasks.




Hours spent on unpaid domestic work Number %Greater


Brisbane2006 to

2011

Did unpaid domestic work 281,368 69.9 73.0 241,769 68.2 72.7 +39,599

Less than 5 hours 93,158 23.1 24.3 79,078 22.3 23.6 +14,080

Between 5 and 14 hours 105,695 26.2 27.2 86,219 24.3 25.9 +19,476

Between 15 and 29 hours 46,675 11.6 12.0 41,108 11.6 12.2 +5,567

30 hours or more 35,840 8.9 9.6 35,364 10.0 11.0 +476

Did no unpaid domestic work 81,803 20.3 19.3 68,673 19.4 18.0 +13,130

Not stated 39,592 9.8 7.7 43,855 12.4 9.3 -4,263



Unpaid domestic work, 2011


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Dominant groups

Analysis of the unpaid domestic work performed by the population in Gold Coast City in 2011 compared to Greater

Brisbane shows that there was a lower proportion of persons who performed 15 hours or more of unpaid domestic

work per week.

Overall, 20.5% of the population reported performing 15 hours or more of unpaid domestic work, compared with

21.5% for Greater Brisbane.

The major differences between the share of the population performing unpaid domestic work in Gold Coast City and

Greater Brisbane were:

A larger percentage of persons who did no unpaid domestic work (20.3% compared to 19.3%)

A smaller percentage of persons who did less than 5 hours of domestic work (69.9% compared to 73.0%)

A smaller percentage of persons who did between 5 and 14 hours of domestic work (23.1% compared to 24.3%)

A smaller percentage of persons who did between 15 and 29 hours of domestic work (26.2% compared to 27.2%)

Emerging groups

The largest changes in the number of people performing unpaid domestic work in Gold Coast City, between 2006 and

2011 were those who:

Did unpaid domestic work (+39,599 persons)

Did between 5 and 14 hours of domestic work (+19,476 persons)

Did less than 5 hours of domestic work (+14,080 persons)

Did no unpaid domestic work (+13,130 persons)

Change in unpaid domestic work, 2006 to 2011


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The proportion of people providing unpaid care for the aged and disabled in Gold Coast City can be an important

indicator of the level of demand for aged care services and facilities by local and state governments. An increasing

proportion of carers among the population may indicate inadequate aged care provision, or the need for in-home

support, or support for the carers themselves. The level of care provided by individuals is likely to be affected by

Household Income, Age Structure and the ethnic makeup of the community (Language Spoken), as well as the sense

of community cohesiveness.

Unpaid care

Unpaid care


Assistance to a person with a disability, long termillness or old age Number %

GreaterBrisbane Number %

GreaterBrisbane

2006 to2011

Provided unpaid assistance 38,029 9.4 10.2 30,356 8.6 9.6 +7,673

No unpaid assistance provided 325,523 80.8 82.1 280,599 79.2 81.1 +44,924

Not stated 39,210 9.7 7.7 43,350 12.2 9.3 -4,140



Unpaid care, 2011


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Dominant groups

Analysis of the unpaid care provided by the population in Gold Coast City in 2011 compared to Greater Brisbane

shows that there was a lower proportion of persons who provided unpaid care either to family members or others.

Overall, 9.4% of the population provided unpaid care, compared with 10.2% for Greater Brisbane.

Emerging groups

The number of people who provided unpaid assistance to a person with a disability, long term illness or old age in

Gold Coast City increased by 7,673 people between 2006 and 2011.

Change in unpaid care, 2006 to 2011


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The role of unpaid childcare in Gold Coast City is determined by many different factors. For example areas with high

levels of unpaid child care may have a dominance of single income families with one significant earner, or there could

be a lack of provision of paid child care in the area. The level to which people care for others children can also

indicate the role of extended family (eg. grandparents caring for grandchildren, family day care).

The role of unpaid child care is a complex one so this topic should be viewed in conjunction with several others,

including Household Type, Employment, Household Income and Educational Attendance.

Unpaid childcare

Unpaid childcare


Unpaid child care Number %Greater


Brisbane2006 to

2011

Provided unpaid child care (all) 109,389 27.2 29.1 91,103 25.7 28.8 +18,286

Cared for own child/ren 79,421 19.7 20.7 66,273 18.7 20.3 +13,148

Cared for other child/ren 26,388 6.6 7.3 21,799 6.2 7.3 +4,589

Cared for own child/ren and other child/ren 3,580 0.9 1.1 3,031 0.9 1.2 +549

No unpaid child care provided 256,601 63.7 63.8 222,723 62.9 62.7 +33,878

Not stated 36,768 9.1 7.1 40,496 11.4 8.5 -3,728



Unpaid childcare, 2011


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http://profile.id.com.au/gold-coast/education?na=10



Dominant groups

Analysis of the unpaid child care provided by the population in Gold Coast City in 2011 compared to Greater

Brisbane shows that there was a lower proportion of persons who provided unpaid child care either to their own or to

other children. Overall, 27.2% of the population provided unpaid child care, compared with 29.1% for Greater

Brisbane.

The major differences between the share of the population providing unpaid child care in Gold Coast City and

Greater Brisbane were:

A smaller percentage who Provided unpaid child care (all) (27.2% compared to 29.1%)

A smaller percentage who Cared for own child/ren (19.7% compared to 20.7%)

Emerging groups

The number of people who provided unpaid child care for their own and/or other people's children in Gold Coast City

increased by 18,286 between 2006 and 2011.

The largest changes in the number of people performing unpaid child care in Gold Coast City, between 2006 and

2011 were those who:

Provided no unpaid child care (+33,878 persons)

Provided unpaid child care (in total) (+18,286 persons)

Cared for their own child/ren (+13,148 persons)

Cared for other child/ren (+4,589 persons)

Change in unpaid childcare, 2006 to 2011


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Gold Coast City's employment statistics are an important indicator of socio-economic status. The levels of full or part-

time employment, unemployment and labour force participation indicate the strength of the local economy and social

characteristics of the population. Employment status is linked to a number of factors including Age Structure, which

influences the number of people in the workforce; the economic base and employment opportunities available in the

area and; the education and skill base of the population (Occupations, Industries, Qualifications).

Employment status

Employment status


Employment status Number %Greater


Brisbane2006 to

2011

Employed 231,630 92.6 94.1 201,821 94.8 95.6 +29,809

Employed full-time 140,463 56.1 61.0 125,647 59.0 62.6 +14,816

Employed part-time 86,484 34.6 31.2 70,860 33.3 30.5 +15,624

Hours worked not stated 4,683 1.9 1.9 5,314 2.5 2.5 -631

Unemployed 18,635 7.4 5.9 11,171 5.2 4.4 +7,464

Looking for full-time work 11,578 4.6 3.5 6,941 3.3 2.5 +4,637

Looking for part-time work 7,057 2.8 2.3 4,230 2.0 1.9 +2,827

Total Labour Force 250,265 100.0 100.0 212,992 100.0 100.0 +37,273

Labour force status


Labour force status Number %Greater


Brisbane2006 to

2011

Total Labour force 250,265 62.1 65.0 212,992 60.1 63.8 +37,273

Not in the labour force 123,795 30.7 29.9 110,112 31.1 30.1 +13,683

Labour force status not stated 28,720 7.1 5.1 31,200 8.8 6.1 -2,480



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Employment status, 2011


Change in employment status, 2006 to 2011


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Dominant groups

The size of Gold Coast City's labour force in 2011 was 250,265 persons, of which 86,484 were employed part-time

and 140,463 were full time workers.

Analysis of the employment status (as a percentage of the labour force) in Gold Coast City in 2011 compared to

Greater Brisbane shows that there was a lower proportion in employment, and a higher proportion unemployed.

Overall, 92.6% of the labour force was employed (57.5% of the population aged 15+), and 7.4% unemployed (4.6% of

the population aged 15+), compared with 94.1% and 5.9% respectively for Greater Brisbane.

The labour force participation rate refers to the proportion of the population over 15 years of age that was employed

or actively looking for work. "The labour force is a fundamental input to domestic production. Its size and composition

are therefore crucial factors in economic growth. From the viewpoint of social development, earnings from paid work

are a major influence on levels of economic well-being." (Australian Social Trends 1995).

Analysis of the labour force participation rate of the population in Gold Coast City in 2011 shows that there was a

lower proportion in the labour force (62.1%) compared with Greater Brisbane (65.0%).

Emerging groups

Between 2006 and 2011, the number of people employed in Gold Coast City showed an increase of 29,809 persons

and the number unemployed showed an increase of 7,464 persons. In the same period, the number of people in the

labour force showed an increase of 37,273 persons, or 17.5%.

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http://www.abs.gov.au/Ausstats/[email protected]/2f762f95845417aeca25706c00834efa/62dda2811f3143e5ca2570ec00752767!OpenDocument

Gold Coast City’s industry statistics identify the industry sectors in which the residents work (which may be within theresiding area or elsewhere). This will be influenced by the skill base and socio-economic status of the residents as

well as the industries and employment opportunities present in the region.

When viewed in conjunction with Residents Place of Work data and Method of Travel to Work, industry sector

statistics provide insights into the relationship between the economic and residential role of the area.

Industry sectors of employment

Industry sector of employment


Industry sector Number %Greater


Brisbane2006 to

2011

Agriculture, Forestry and Fishing 866 0.4 0.7 961 0.5 0.9 -95

Mining 1,654 0.7 1.3 573 0.3 0.6 +1,081

Manufacturing 17,508 7.6 9.3 18,347 9.1 11.1 -839

Electricity, Gas, Water and Waste Services 1,748 0.8 1.2 972 0.5 1.0 +776

Construction 26,148 11.3 8.3 24,335 12.1 8.1 +1,813

Retail Trade 28,611 12.4 10.1 27,233 13.5 11.2 +1,378

Wholesale trade 8,649 3.7 4.1 8,003 4.0 4.6 +646

Accommodation and Food Services 22,314 9.6 6.0 20,262 10.0 5.8 +2,052

Transport, Postal and Warehousing 8,942 3.9 5.7 7,488 3.7 5.5 +1,454

Information Media and Telecommunications 3,919 1.7 1.4 3,792 1.9 1.7 +127

Financial and Insurance Services 6,538 2.8 3.4 6,078 3.0 3.6 +460

Rental, Hiring and Real Estate Services 6,387 2.8 1.7 6,658 3.3 2.0 -271

Professional, Scientific and Technical Services 14,600 6.3 8.3 11,079 5.5 7.2 +3,521

Administrative and Support Services 9,216 4.0 3.3 7,486 3.7 3.2 +1,730

Public Administration and Safety 9,947 4.3 7.5 7,828 3.9 7.1 +2,119

Education and Training 16,448 7.1 8.1 12,470 6.2 7.9 +3,978

Health Care and Social Assistance 25,691 11.1 12.4 18,229 9.0 10.8 +7,462

Arts and Recreation Services 6,838 3.0 1.3 5,863 2.9 1.3 +975

Other Services 9,408 4.1 3.7 7,957 3.9 3.7 +1,451

Inadequately described or not stated 6,202 2.7 2.2 6,322 3.1 2.6 -120

Total employed persons aged 15+ 231,634 100.0 100.0 201,936 100.0 100.0 +29,698


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Industry sector of employment, 2011


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Change in industry sector of employment, 2006 to 2011


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Gold Coast City's occupation statistics quantify the occupations in which the residents work (which may be within the

residing area or elsewhere). This will be influenced by the economic base and employment opportunities available in

the area, education levels, and the working and social aspirations of the population. When viewed with other

indicators, such as Educational Qualifications and Individual Income, Occupation is a key measure for evaluating Gold

Coast City's socio-economic status and skill base.

Occupations of employment

Occupation of employment


Occupation Number %Greater


Brisbane2006 to

2011

Managers 28,577 12.3 11.6 25,261 12.5 11.4 +3,316

Professionals 40,310 17.4 22.2 30,945 15.3 20.2 +9,365

Technicians and Trades Workers 35,689 15.4 13.5 33,296 16.5 14.2 +2,393

Community and Personal Service Workers 25,172 10.9 9.7 19,788 9.8 8.8 +5,384

Clerical and Administrative Workers 33,624 14.5 16.2 29,809 14.8 16.5 +3,815

Sales Workers 29,444 12.7 9.4 27,327 13.5 10.2 +2,117

Machinery Operators And Drivers 11,839 5.1 6.4 10,192 5.0 6.6 +1,647

Labourers 22,679 9.8 9.2 21,371 10.6 10.4 +1,308

Inadequately described 4,307 1.9 1.8 3,933 1.9 1.7 +374



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Occupation of employment, 2011


Change in occupation of employment, 2006 to 2011


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Dominant groups

An analysis of the jobs held by the resident population in Gold Coast City in 2011 shows the three most popular

occupations were:

Professionals (40,310 people or 17.4%)

Technicians and Trades Workers (35,689 people or 15.4%)

Clerical and Administrative Workers (33,624 people or 14.5%)

In combination these three occupations accounted for 109,623 people in total or 47.3% of the employed resident

population.

In comparison, Greater Brisbane employed 22.2% in Professionals; 13.5% in Technicians and Trades Workers; and

16.2% in Clerical and Administrative Workers.

The major differences between the jobs held by the population of Gold Coast City and Greater Brisbane were:

A larger percentage of persons employed as Sales Workers (12.7% compared to 9.4%)

A larger percentage of persons employed as Technicians and Trades Workers (15.4% compared to 13.5%)

A larger percentage of persons employed as Community and Personal Service Workers (10.9% compared to 9.7%)

A smaller percentage of persons employed as Professionals (17.4% compared to 22.2%)

Emerging groups

The number of employed people in Gold Coast City increased by 29,719 between 2006 and 2011.

The largest changes in the occupations of residents between 2006 and 2011 in Gold Coast City were for those

employed as:

Professionals (+9,365 persons)

Community and Personal Service Workers (+5,384 persons)

Clerical and Administrative Workers (+3,815 persons)

Managers (+3,316 persons)

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Gold Coast City's commuting statistics reveal the main modes of transport by which residents get to work. There are a

number of reasons why people use different modes of transport to get to work including the availability of affordable

and effective public transport options, the number of motor vehicles available within a household, and the distance

travelled to work.

Commuting data is very useful in transport planning as it informs decision-makers about the availability, effectiveness

and utilisation of local transport options, particularly when analysed with Residents Place of Work data and Car

Ownership.




Main method of travel Number %Greater


Brisbane2006 to

2011

Train 4,468 1.9 6.5 2,364 1.1 6.0 +2,104

Bus 4,502 1.9 6.0 3,685 1.8 5.0 +817

Tram or Ferry 28 0.0 0.2 62 0.0 0.3 -34

Taxi 305 0.1 0.2 339 0.2 0.3 -34

Car - as driver 155,088 66.3 58.8 133,793 64.7 58.3 +21,295

Car - as passenger 12,547 5.4 5.5 12,476 6.0 6.2 +71

Truck 2,359 1.0 1.1 2,947 1.4 1.5 -588

Motorbike 1,802 0.8 1.0 1,648 0.8 1.0 +154

Bicycle 2,068 0.9 1.0 1,910 0.9 0.9 +158

Walked only 6,386 2.7 3.1 5,749 2.8 3.1 +637

Other 2,845 1.2 1.2 2,144 1.0 1.0 +701

Worked at home 12,624 5.4 4.1 11,131 5.4 4.1 +1,493

Did not go to work 25,749 11.0 10.0 24,829 12.0 10.8 +920

Not stated 3,192 1.4 1.3 3,657 1.8 1.6 -465



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Method of travel to work, 2011


Change in method of travel to work, 2006 to 2011


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Dominant groups

In 2011, there were 8,998 people who caught public transport to work (train, bus, tram or ferry) in Gold Coast City,

compared with 171,796 who drove in private vehicles (car – as driver, car – as passenger, motorbike, or truck).

Analysis of the method of travel to work of the residents in Gold Coast City in 2011 compared to Greater Brisbane

shows that 3.8% used public transport, while 73.4% used a private vehicle, compared with 12.7% and 66.4%

respectively in Greater Brisbane.

The major differences between the method of travel to work of Gold Coast City and Greater Brisbane were:

A larger percentage of persons who travelled by car (as driver) (66.3% compared to 58.8%)

A larger percentage of persons who worked at home (5.4% compared to 4.1%)

A smaller percentage of persons who travelled by train (1.9% compared to 6.5%)

A smaller percentage of persons who travelled by bus (1.9% compared to 6.0%)

Emerging groups


The largest changes in the method of travel to work by resident population in Gold Coast City between 2006 and

2011 were for those nominated:

Car - as driver (+21,295 persons)

Train (+2,104 persons)

Worked at home (+1,493 persons)

Did not go to work (+920 persons)

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Households summary

Households summary

Households with children

Households with children by life stage

Households without children

Households without children by life stage

Household size

How many people live in each household?

Tenure overview

Are we owners, renters or buyers?

Housing loan repayments

Monthly housing loan repayments

Housing loan quartiles


Housing rental payments

Weekly housing rental

Housing rental quartiles


Dwelling type

What type of dwellings do we live in?

Number of bedrooms

How many bedrooms do our dwellings have?

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http://profile.id.com.au/gold-coast/households-with-children?na=10

http://profile.id.com.au/gold-coast/households-without-children?na=10

http://profile.id.com.au/gold-coast/household-size?na=10

http://profile.id.com.au/gold-coast/tenure?na=10

http://profile.id.com.au/gold-coast/housing-loan?na=10

http://profile.id.com.au/gold-coast/housing-loan-quartiles?na=10

http://profile.id.com.au/gold-coast/housing-rental?na=10

http://profile.id.com.au/gold-coast/housing-rental-quartiles?na=10


http://profile.id.com.au/gold-coast/bedrooms?na=10

Internet connection

What type of internet connection do we have?

Number of cars

How many cars do we own?

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http://profile.id.com.au/gold-coast/internet-connection?na=10


Gold Coast City's household and family structure is one of the most important demographic indicators. It reveals the

area's residential role and function, era of settlement and provides key insights into the level of demand for services

and facilities as most are related to age and household types.

To continue building the story, Gold Coast City's Household Summary should be viewed in conjunction with

Households with Children, Households without Children, Household Size, Age Structure and Dwelling Type.

Households summary

Household types


Households by type Number %Greater


Brisbane2006 to

2011

Couples with children 53,837 27.5 32.0 46,351 25.4 31.7 +7,486

Couples without children 51,361 26.3 25.5 46,564 25.5 25.1 +4,797

One parent families 21,655 11.1 11.1 18,658 10.2 11.0 +2,997

Other families 2,083 1.1 1.4 1,795 1.0 1.4 +288

Group household 10,887 5.6 5.0 9,356 5.1 4.7 +1,531

Lone person 41,754 21.3 21.0 36,879 20.2 21.3 +4,875

Other not classifiable household 9,669 4.9 3.1 12,736 7.0 3.8 -3,067

Visitor only households 4,334 2.2 0.9 9,952 5.5 1.0 -5,618

Total households 195,580 100.0 100.0 182,291 100.0 100.0 +13,289


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Household types, 2011


Change in household types, 2006 to 2011


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Dominant groups

Analysis of the household/family types in Gold Coast City in 2011 compared to Greater Brisbane shows that there

was a lower proportion of couple families with child(ren) as well as a similar proportion of one-parent families. Overall,

27.5% of total families were couple families with child(ren), and 11.1% were one-parent families, compared with 32.0%


There were a similar proportion of lone person households and a higher proportion of couples without children.

Overall, the proportion of lone person households was 21.3% compared to 21.0% in Greater Brisbane while the

proportion of couples without children was 26.3% compared to 25.5% in Greater Brisbane.

Emerging groups

The number of households in Gold Coast City increased by 13,289 between 2006 and 2011.

The largest changes in family/household types in Gold Coast City between 2006 and 2011 were:

Couples with children (+7,486 households)

Lone person (+4,875 households)

Couples without children (+4,797 households)

One parent families (+2,997 households)

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Households with Children require different services and facilities than other household types, and their needs change

as both adults and children age. When many families in an area are at the same stage in their individual lifecycles, it

creates a suburb lifecycle. Knowing where a suburb is in a cycle of change helps planners make evidence-based

decisions about the demand for services both now and in the future.

For Households with Children in Gold Coast City, life stage is based on the age of children in the household. The age

of the parent(s) is not taken into account.

Young children: Children aged under 15 only

Mixed age children: One or more children under 15 and one or more children over 15 (must have 2 or more

children)

Older children: Children aged 15 and over only

To continue building the story, Gold Coast City's Household data should be viewed in conjunction with Household

Size, Age Structure and Dwelling Type.




Households with children Number %Greater


Brisbane2006 to

2011


Couples with young children 30,770 15.7 17.9 26,099 14.3 17.4 +4,671

Couples with mixed-age children 7,563 3.9 4.7 6,734 3.7 4.9 +829

Couples with older children 15,504 7.9 9.4 13,518 7.4 9.4 +1,986

Single parents with children 21,655 11.1 11.1 18,658 10.2 11.0 +2,997

Single parents with young children 8,989 4.6 4.6 8,161 4.5 4.9 +828

Single parents with mixed-age children 2,579 1.3 1.4 2,327 1.3 1.4 +252

Single parents with older children 10,087 5.2 5.1 8,170 4.5 4.8 +1,917

Total households with children 75,492 38.6 43.1 65,009 35.7 42.7 +10,483



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Households with children, 2011


Change in households with children, 2006 to 2011


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Dominant groups

Analysis of the families with children in Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

smaller proportion of couples with young children, as well as a smaller proportion of couples with older children.

Overall, 15.7% of total households with children were couple with young children, and 7.9% were couples with older

children, compared with 17.9% and 9.4% respectively for Greater Brisbane.

There were a similar proportion of single parent households with young children and a similar proportion of single

parent households with older children. Overall, the proportion of single parent households with young children was

4.6% compared to 4.6% in Greater Brisbane while the proportion of single parent households with older children was

5.2% compared to 5.1% in Greater Brisbane.

Emerging groups

Between 2006 and 2011, the number of households with children increased by 10,483 households or 16.1%.

The largest changes in households with children in this area between 2006 and 2011 were:

Couples with young children (+4,671 households)

Couples with older children (+1,986 households)

Single parents with older children (+1,917 households)

Couples with mixed-age children (+829 households)

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Households without Children include couples without children and lone person households. They require different

services depending on the age of the people in the households. For example young couples who have not had

children (yet) compared to older "empty nester" couples whose children may have left home.

For Households without Children in Gold Coast City, life stage is based on the age of the household reference person

(usually person 1 on the Census form):

Young: Aged 15-44

Middle-aged: Aged 45-64

Older: Aged 65 and over






Households without children Number %Greater


Brisbane2006 to

2011


Young couples without children 14,990 7.7 8.6 13,040 7.2 8.2 +1,950

Middle-aged couples without children 18,633 9.5 9.2 18,020 9.9 9.8 +613

Older couples without children 17,738 9.1 7.6 15,504 8.5 7.1 +2,234

Lone person households 41,754 21.3 21.0 36,879 20.2 21.3 +4,875

Young lone persons 11,450 5.9 6.3 10,415 5.7 6.7 +1,035

Middle-aged lone persons 14,063 7.2 7.1 12,365 6.8 7.1 +1,698

Older lone persons 16,241 8.3 7.6 14,099 7.7 7.5 +2,142

Group households 10,887 5.6 5.0 9,356 5.1 4.7 +1,531

Total households without children 104,002 53.2 51.5 92,799 50.9 51.0 +11,203



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Households without children, 2011


Change in households without children, 2006 to 2011


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Dominant groups

Analysis of the households without children in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a smaller proportion of young couples without children, a similar proportion of middle-aged couples without

children, and a larger proportion of older couples without children.

In addition, there were a similar proportion of young lone person households, a similar proportion of middle-aged lone

person households, and a larger proportion of older lone person households.

Emerging groups

Between 2006 and 2011, the number of households without children increased by 11,203.

The largest changes in households without children in Gold Coast City, between 2006 and 2011 were:

Older couples without children (+2,234 persons)

Older lone persons (+2,142 persons)

Young couples without children (+1,950 persons)

Middle-aged lone persons (+1,698 persons)

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The size of households in general follows the life-cycle of families. Households are usually small at the stage of

relationship formation (early marriage), and then increase in size with the advent of children. They later reduce in size

again as these children reach adulthood and leave home. Household size can also be influenced by a lack (or

abundance) of affordable housing. Overseas migrants and indigenous persons often have a tradition of living with

extended family members which significantly affects household size.

Household size in Australia has declined since the 1970s but between 2006 and 2011, the average household size

remained stable for the nation as a whole.

An increasing household size in an area may indicate a lack of affordable housing opportunities for young people, an

increase in the birth rate or an increase in family formation in the area. A declining household size may indicate

children leaving the area when they leave home, an increase in retirees settling in the area, or an attraction of young

singles and couples to the area.

For greater insight, Gold Coast City's Household Size data should be viewed in conjunction with Household Summary,

Age Structure, Dwelling Type, Household Income and Language Spoken at Home.

Household size

Household size


Number of persons usually resident Number %Greater


Brisbane2006 to

2011

1 person 41,759 23.0 21.8 36,825 23.1 22.3 +4,934

2 persons 67,201 37.0 33.9 60,532 38.0 34.3 +6,669

3 persons 30,432 16.8 17.0 26,065 16.3 16.6 +4,367

4 persons 27,064 14.9 16.4 23,048 14.5 16.2 +4,016

5 persons 10,507 5.8 7.1 9,277 5.8 7.1 +1,230

6 or more persons 4,646 2.6 3.7 3,739 2.3 3.4 +907

Total classifiable households 181,609 100.0 100.0 159,486 100.0 100.0 +22,123


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Household size, 2011


Change in household size, 2006 to 2011


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Dominant groups

Analysis of the number of persons usually resident in a household in Gold Coast City compared with Greater

Brisbane shows that there were a higher proportion of lone person households, and a lower proportion of larger

households (those with 4 persons or more). Overall there were 23.0% of lone person households, and 23.2% of

larger households, compared with 21.8% and 27.2% respectively for Greater Brisbane.

The major differences in the household size for Gold Coast City and Greater Brisbane were:

A larger percentage of households with 2 persons usually resident (37.0% compared to 33.9%)

A larger percentage of households with 1 person usually resident (23.0% compared to 21.8%)

A smaller percentage of households with 4 persons usually resident (14.9% compared to 16.4%)


Emerging groups


The largest changes in the number of persons usually resident in a household in Gold Coast City between 2006 and

2011 were:

2 persons (+6,669 households)

1 person (+4,934 households)



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The Number of Bedrooms in a dwelling is an indicator of the size of dwellings, and when combined with dwelling type

information, provides insight into the role Gold Coast City plays in the housing market. For example, an area of high

density dwellings that are predominantly 1-2 bedroom are likely to attract students, single workers and young

couples, whereas a high density area with dwellings that are predominantly 2-3 bedroom may attract more empty

nesters and some families.

In combination with Household type and Household size, the Number of Bedrooms can also indicate issues around

housing affordability, overcrowding and other socio-economic factors.

Number of bedrooms per dwelling



Number of bedrooms Number %Greater


Brisbane2006 to

2011

0 or 1 bedrooms 11,107 5.7 4.4 10,327 5.7 4.3 +780

2 bedrooms 39,773 20.3 14.9 38,534 21.1 15.3 +1,239

3 bedrooms 70,818 36.2 40.0 67,641 37.1 42.6 +3,177

4 bedrooms 49,447 25.3 28.7 40,314 22.1 26.1 +9,133

5 bedrooms or more 10,822 5.5 7.1 8,047 4.4 6.1 +2,775

Not stated 13,613 7.0 4.7 17,368 9.5 5.7 -3,755



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Number of bedrooms per dwelling, 2011


Change in number of bedrooms per dwelling, 2006 to 2011


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Dominant groups

Analysis of the number of bedrooms in dwellings in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a higher proportion of dwellings with 1 and 2 bedrooms, and a lower proportion of dwellings with 4 or more

bedrooms.

Overall, 26.0% of households were in 1-2 bedroom dwellings, and 30.8% of 4-plus bedroom dwellings, compared with

19.4% and 35.8% for Greater Brisbane respectively.

The major differences between the number of bedrooms per dwelling of Gold Coast City and Greater Brisbane were:

A larger percentage of 2 bedroom dwellings (20.3% compared to 14.9%)

A larger percentage of dwellings with no bedrooms (includes bedsitters) (5.7% compared to 4.4%)

A smaller percentage of 3 bedroom dwellings (36.2% compared to 40.0%)


Emerging groups

The largest changes in the number of bedrooms per dwelling in Gold Coast City between 2006 and 2011 were:

4 bedrooms (+9,133 dwellings)


5 bedrooms or more (+2,775 dwellings)


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Gold Coast City's Housing Tenure data provides insights into its socio-economic status as well as the role it plays in

the housing market. For example, a high concentration of private renters may indicate a transient area attractive to

young singles and couples, while a concentration of home owners indicates a more settled area with mature families

and empty-nester Household Summary. Tenure can also reflect built form (Dwelling Type), with a significantly higher

share of renters in high density housing and a substantially larger proportion of home-owners in separate houses,

although this is not always the case.

In conjunction with other socio-economic status indicators in Gold Coast City, Tenure data is useful for analysing

housing markets, housing affordability and identifying public housing areas.

Housing tenure

Housing tenure


Tenure type Number %Greater


Brisbane2006 to

2011

Fully owned 49,533 25.3 26.4 49,660 27.2 28.7 -127

Mortgage 63,154 32.3 35.5 53,593 29.4 34.6 +9,561

Renting 66,516 34.0 32.1 58,167 31.9 29.8 +8,349

Renting - Social housing 4,489 2.3 4.1 4,172 2.3 4.1 +317

Renting - Private 60,742 31.1 27.5 52,313 28.7 25.0 +8,429

Renting - Not stated 1,285 0.7 0.5 1,682 0.9 0.6 -397

Other tenure type 1,676 0.9 0.8 2,057 1.1 0.7 -381

Not stated 14,722 7.5 5.2 18,782 10.3 6.2 -4,060



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Housing tenure, 2011


Change in housing tenure, 2006 to 2011


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Dominant groups

Analysis of the housing tenure of the population of Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a smaller proportion of households who owned their dwelling; a smaller proportion purchasing their

dwelling; and a larger proportion who were renters.

Overall, 25.3% of the population owned their dwelling; 32.3% were purchasing, and 34.0% were renting, compared

with 26.4%, 35.5% and 32.1% respectively for Greater Brisbane.

Emerging groups

The largest changes in housing tenure categories for the households in Gold Coast City between 2006 and 2011

were:

Mortgage (+9,561 persons)

Renting - Private (+8,429 persons)

Renting - Not stated (-397 persons)

Other tenure type (-381 persons)

The total number of households in Gold Coast City increased by 13,342 between 2006 and 2011.

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Mortgage repayments are directly related to house prices in Gold Coast City, length of occupancy and the level of

equity of home owners. When viewed with Household Income data it may also indicate the level of housing stress

households in the community are under. In mortgage belt areas it is expected that households will be paying a higher

proportion of their income on their housing compared to well-established areas. First home buyer areas are also likely

to have larger mortgages than upgrader areas where households move in with equity from elsewhere.

Mortgage payment levels are not directly comparable over time because of inflation. For comparison of mortgage

payments over time, go to Housing Loan Quartiles.




Monthly repayment amount Number %Greater

Brisbane

Nil repayments 1,431 2.3 1.9

$1-$149 373 0.6 0.8

$150-$299 587 0.9 1.0

$300-$449 1,128 1.8 2.0

$450-$599 884 1.4 1.8

$600-$799 1,734 2.7 3.4

$800-$999 2,493 3.9 4.5

$1000-$1199 2,951 4.7 5.5

$1200-$1399 3,843 6.1 6.6

$1400-$1599 3,478 5.5 6.4

$1600-$1799 4,673 7.4 7.8

$1800-$1999 3,798 6.0 6.5

$2000-$2199 6,340 10.0 10.4

$2200-$2399 3,460 5.5 5.5

$2400-$2599 2,848 4.5 4.4

$2600-$2999 6,478 10.3 9.3

$3000-$3999 8,046 12.7 11.1

$4000-$4999 2,582 4.1 3.5

$5000 and over 2,161 3.4 2.5

Not stated 3,871 6.1 5.0

Total households with a mortgage 63,159 100.0 100.0


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Dominant groups

Analysis of the monthly housing loan repayments of households in Gold Coast City compared to Greater Brisbane

shows that there was a larger proportion of households paying high mortgage repayments ($2,600 per month or

more), and a smaller proportion of households with low mortgage repayments (less than $1000 per month).

Overall, 30.5% of households were paying high mortgage repayments, and 13.7% were paying low repayments,

compared with 26.4% and 15.4% respectively in Greater Brisbane.

The major difference between the household loan repayments of Gold Coast City and Greater Brisbane is:

A larger percentage of $3000-$3999 (12.7% compared to 11.1%)

Monthly housing loan repayments, 2011


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Mortgage repayments in Gold Coast City are directly related to house prices, length of occupancy and the level of

equity of home owners. When viewed with Household Income data it may also indicate the level of housing stress in

the community.

The quartile method is the most objective method of comparing change in the mortgage payment profile of a

community over time.

A detailed explanation of how Housing Loan Repayment quartiles are calculated and interpreted is available in

specific data notes.


Housing loan repayment quartiles




Brisbane2006 to

2011

Lowest group 11,682 19.7 22.3 8,506 17.3 22.2 +3,177

Medium lowest 13,061 22.0 23.9 10,069 20.5 24.0 +2,992

Medium highest 15,451 26.1 26.4 12,958 26.4 26.5 +2,492

Highest group 19,093 32.2 27.5 17,564 35.8 27.3 +1,528

Total households with a mortgage 59,288 100.0 100.0 49,099 100.0 100.0 +10,189


Quartile group dollar ranges (Housing loan repayments)

Calculated from loan repayment data for Queensland Monthly housing loan repayments by Census year

Housing loan repayment ranges 2011 2006 2001 1996

Lowest group $0 to $1,205 $0 to $852 $0 to $616 $0 to $550

Medium lowest $1,206 to $1,861 $853 to $1,279 $617 to $863 $551 to $810

Medium highest $1,862 to $2,610 $1,280 to $1,840 $864 to $1,160 $811 to $1,095

Highest group $2,611 and over $1,841 and over $1,161 and over $1,096 and over

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Housing loan repayment quartiles, 2011


Change in housing loan repayment quartiles, 2006 to 2011


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Dominant groups

Housing loan repayment quartiles allow us to compare relative repayment liabilities across time. Analysis of the

distribution of households by housing loan repayment quartiles in Gold Coast City compared to Greater Brisbane

shows that there was a larger proportion of households in the highest repayment quartile, and a smaller proportion in

the lowest repayment quartile.

Emerging groups

The total number of households with a mortgage in Gold Coast City increased by 10,189 between 2006 and 2011.

The most significant change in Gold Coast City during this period was in the lowest quartile which showed an increase

of 3,177 households.

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Rental payments can be a better measure of the cost of housing in Gold Coast City than mortgage repayments

because they are not contingent on length of occupancy or equity in the dwelling.

High rental payments may indicate desirable areas with mobile populations who prefer to rent, or a housing shortage,

or gentrification. Low rental payments may indicate public housing (check Tenure Type), or areas where low income

households move by necessity for a lower cost of living.

Rental payments are not directly comparable over time because of inflation. For comparison of rental payments over

time, go to Housing Rental Quartiles.


Weekly housing rental payments


Weekly rental amount Number %Greater

Brisbane

Nil 1,442 2.2 2.1

$1 - $74 965 1.5 2.6

$75 - $99 959 1.4 2.8

$100 - $124 825 1.2 2.4

$125 - $149 799 1.2 2.2

$150 - $174 1,232 1.9 2.9

$175 - $199 936 1.4 2.4

$200 - $224 1,850 2.8 4.4

$225 - $249 1,453 2.2 3.3

$250 - $274 3,702 5.6 6.2

$275 - $299 3,558 5.4 5.9

$300 - $324 6,707 10.1 11.0

$325 - $349 4,933 7.4 8.2

$350 - $374 8,277 12.5 10.8

$375 - $399 5,711 8.6 6.8

$400 - $424 6,669 10.0 6.8

$425 - $449 2,587 3.9 2.8

$450 - $549 7,440 11.2 7.8

$550 - $649 2,398 3.6 2.8

$650 - $749 1,081 1.6 1.2

$750 - $849 412 0.6 0.5

$850 - $949 190 0.3 0.2

$950+ 552 0.8 0.7

Rent Not stated 1,797 2.7 3.0

Total households renting 66,475 100.0 100.0


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Dominant groups

Analysis of the weekly housing rental payments of households in Gold Coast City compared to Greater Brisbane

shows that there was a larger proportion of households paying high rental payments ($400 per week or more), and a

smaller proportion of households with low rental payments (less than $150 per week).

Overall, 32.1% of households were paying high rental payments, and 7.5% were paying low payments, compared with

22.9% and 12.1% respectively in Greater Brisbane.

The major differences between the housing rental payments of Gold Coast City and Greater Brisbane were:

A larger percentage of $450 - $549 (11.2% compared to 7.8%)




Weekly housing rental payments, 2011


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Rental payments in Gold Coast City are indicative of its residential role and function and are directly related to the

value of residential property. When viewed with Household Income data they may also indicate the level of 'housing

stress' in the community.

The quartile method is the most objective method of comparing change in the rental costs of a community over time.

A detailed explanation of how Housing Rental Payment quartiles are calculated and interpreted is available in specific

data notes.


Housing rental payment quartiles




Brisbane2006 to

2011

Lowest group 7,416 11.5 18.6 5,881 10.5 18.7 +1,534

Medium lowest 11,627 18.0 22.1 7,497 13.4 25.4 +4,131

Medium highest 19,486 30.1 29.8 14,436 25.8 30.4 +5,049

Highest group 26,147 40.4 29.5 28,160 50.3 25.4 -2,012

Total households renting 64,678 100.0 100.0 55,976 100.0 100.0 +8,702


Quartile group dollar ranges (Housing rental payments)

Calculated from rental payment data for Queensland Weekly housing rental payments by Census year

Rental payment ranges 2011 2006 2001



Medium highest $305 to $378 $208 to $271 $153 to $192

Highest group $379 and over $272 and over $193 and over

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Housing rental payment quartiles for 2011


Change in housing rental payment quartiles, 2006 to 2011


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Dominant groups

Rental payment quartiles allow us to compare relative rental liabilities across time. Analysis of the distribution of

households by rental payment quartiles in Gold Coast City compared to Greater Brisbane shows that there was a

larger proportion of households in the highest payment quartile, and a smaller proportion in the lowest payment

quartile.

Emerging groups

The total number of households renting their dwelling in Gold Coast City increased by 8,702 between 2006 and 2011.

The most significant change during this period was in the medium highest quartile which showed an increase of 5,049

households.

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A fast Internet Connection is increasingly required for accessing essential information and undertaking domestic and

non-domestic business. Households with dial-up or no internet service are being left behind in the digital divide' as

both government and the private sector are increasingly conducting their business, or aspects of it, on-line.

Internet connectivity in Gold Coast City can be affected by availability of connection, Education, Household Income

and Age Structure.

Internet connection

Type of internet connection


Connection type Number %Greater


Brisbane2006 to

2011

Total internet connection 149,949 76.7 78.6 107,855 59.2 63.7 +42,094

Broadband connection 135,255 69.2 72.1 71,914 39.5 43.6 +63,341

Dial-up connection 5,498 2.8 2.5 34,754 19.1 19.6 -29,256

Other connection 9,196 4.7 3.9 1,187 0.7 0.5 +8,009

No internet connection 28,565 14.6 15.2 54,761 30.1 29.7 -26,196

Not stated 17,058 8.7 6.2 19,587 10.8 6.6 -2,529



Type of internet connection, 2011


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Dominant groups

Analysis of the type of internet connection of households in Gold Coast City compared to Greater Brisbane shows

that there was a similar proportion of households with either no internet connection or a dial up connection, and a

lower proportion of households with broadband connectivity.

Overall 17.4% of households had no internet connection or a dial up connection, and 69.2% had broadband

connectivity, compared with 17.7% and 72.1% respectively in Greater Brisbane.

Emerging groups

Between 2006 and 2011 the number of households with an internet connection increased by 42,094.

The largest changes in the internet connectivity in Gold Coast City, between 2006 and 2011 were:

Broadband connection (+63,341 households)

Total internet connection (+42,094 households)

Dial-up connection (-29,256 households)

Change in type of internet connection, 2006 to 2011


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The ability of the population to access services and employment is strongly influenced by access to transport. The

number of motor vehicles per household in Gold Coast City quantifies access to private transport and will be

influenced by Age Structure and Household Type, which determine the number of adults present; access to Public

Transport; distance to shops, services, employment and education; and Household Income. Depending on these

factors, car ownership can be seen as a measure of advantage or disadvantage, or a neutral socio-economic

measure, which impacts on the environment and quality of life.

Number of cars per household

Car ownership


Number of cars Number %Greater


Brisbane2006 to

2011

No motor vehicles 12,018 6.1 7.7 13,353 7.3 8.5 -1,335

1 motor vehicle 67,631 34.6 34.4 63,729 35.0 35.0 +3,902

2 motor vehicles 70,976 36.3 35.7 61,119 33.5 34.8 +9,857

3 or more motor vehicles 29,156 14.9 16.5 23,989 13.2 14.8 +5,167

Not stated 15,803 8.1 5.7 20,039 11.0 7.0 -4,236



Car ownership, 2011


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Dominant groups

Analysis of the car ownership of the households in Gold Coast City in 2011 compared to Greater Brisbane shows that

85.8% of the households owned at least one car, while 6.1% did not, compared with 86.6% and 7.7% respectively in

Greater Brisbane.

Of those that owned at least one vehicle, there was a similar proportion who owned just one car; a larger proportion

who owned two cars; and a smaller proportion who owned three cars or more.

Overall, 34.6% of the households owned one car; 36.3% owned two cars; and 14.9% owned three cars or more,

compared with 34.4%; 35.7% and 16.5% respectively for Greater Brisbane.

Emerging groups

The largest changes in the household car ownership in Gold Coast City between 2006 and 2011 were:

2 motor vehicles (+9,857 households)

3 or more motor vehicles (+5,167 households)

1 motor vehicle (+3,902 households)

No motor vehicles (-1,335 households)

Change in car ownership, 2006 to 2011


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Dwelling Type is an important determinant of Gold Coast City's residential role and function. A greater concentration

of higher density dwellings is likely to attract more young adults and smaller households, often renting. Larger,

detached or separate dwellings are more likely to attract families and prospective families. The residential built form

often reflects market opportunities or planning policy, such as building denser forms of housing around public

transport nodes or employment centres.

Dwelling Type statistics should be viewed in conjunction with Household size, Household Types, Housing Tenure and

Age Structure for a more complete picture of the housing market in Gold Coast City.

Dwelling type

Dwelling structure


Dwelling type Number %Greater


Brisbane2006 to

2011

Separate house 123,126 55.8 77.6 111,392 54.0 78.6 +11,734

Medium density 54,097 24.5 14.9 48,933 23.7 14.2 +5,164

High density 39,850 18.1 6.6 42,025 20.4 6.1 -2,175

Caravans, cabin, houseboat 2,951 1.3 0.7 3,167 1.5 0.8 -216

Other 488 0.2 0.1 488 0.2 0.2 0

Not stated 232 0.1 0.1 170 0.1 0.0 +62

Total Private Dwellings 220,744 100.0 100.0 206,175 100.0 100.0 +14,569

Dwelling type




Brisbane2006 to

2011


Unoccupied private dwellings 25,172 11.4 7.1 23,842 11.6 6.5 +1,330

Non private dwellings 575 0.3 0.1 252 0.1 0.1 +323

Total Dwellings 221,334 100.0 100.0 206,423 100.0 100.0 +14,911


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Dwelling structure, 2011


Change in dwelling structure, 2006 to 2011


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Dominant groups

In 2011, there were 123,126 separate houses in the area, 54,097 medium density dwellings, and 39,850 high density

dwellings. In addition, there were 2,951 caravans/cabins/houseboats in the area.

Analysis of the types of dwellings in Gold Coast City in 2011 shows that 55.8% of all dwellings were separate houses;

24.5% were medium density dwellings, and 18.1% were high density dwellings, compared with 77.6%, 14.9%, and

6.6% in the Greater Brisbane respectively.

In 2011, a total of 88.4% of the dwellings in Gold Coast City were occupied on Census night, compared to 92.8% in

Greater Brisbane. The proportion of unoccupied dwellings was 11.4%, which is larger compared to that found in

Greater Brisbane (7.1%).

Emerging groups

The total number of dwellings in Gold Coast City increased by 14,911 between 2006 and 2011.

The largest changes in the type of dwellings found in Gold Coast City between 2006 and 2011 were:

Separate house (+11,734 dwellings)

Medium density (+5,164 dwellings)

High density (-2,175 dwellings)

Caravans, cabin, houseboat (-216 dwellings)

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Gold Coast City SEIFA Index of Disadvantage measures the relative level of socio-economic disadvantage

based on a range of Census characteristics. It is a good place to start to get a general view of the relative level

of disadvantage in one area compared to others and is used to advocate for an area based on its level of

disadvantage.

The index is derived from attributes that reflect disadvantage such as low income, low educational attainment,

high unemployment, and jobs in relatively unskilled occupations. When targeting services to disadvantaged

communities, it is important to also look at these underlying characteristics as they can differ markedly between

areas with similar SEIFA scores and shed light on the type of disadvantage being experienced.

A higher score on the index means a lower level of disadvantage. A lower score on the index means a higher

level of disadvantage.

SEIFA by Local Government Area SEIFA by small areas

SEIFA - disadvantage

Index of relative socio-economic disadvantage

Local Government Areas in Queensland

Local Government Area 2011 index

Weipa (T) 1,064.5

Brisbane (C) 1,047.7

Isaac (R) 1,047.1

Central Highlands (R) 1,033.2

Redland (C) 1,029.4

McKinlay (S) 1,022.5

Mackay (R) 1,018.2

Gladstone (R) 1,015.5

Gold Coast (C) 1,014.2

Townsville (C) 1,010.6

Bulloo (S) 1,008.3

Sunshine Coast (R) 1,007.3

Moreton Bay (R) 1,004.1

Maranoa (R) 1,001.5

Longreach (R) 998.4

Banana (S) 996.6

Mount Isa (C) 994.9

Toowoomba (R) 992.9

Barcaldine (R) 991.7

Scenic Rim (R) 989.2

Richmond (S) 983.0

Whitsunday (R) 982.1

Cairns (R) 981.0

Rockhampton (R) 979.2

Western Downs (R) 978.3

Goondiwindi (R) 978.0

Logan (C) 970.9

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Hinchinbrook (S) 970.0

Burdekin (S) 968.7

Ipswich (C) 966.3

Etheridge (S) 962.8

Murweh (S) 961.4

Blackall Tambo (R) 960.6

Balonne (S) 958.7

Flinders (S) 955.1

Barcoo (S) 952.9

Quilpie (S) 949.4

Lockyer Valley (R) 947.9

Charters Towers (R) 947.6

Croydon (S) 946.5

Tablelands (R) 944.6

Winton (S) 944.4

Southern Downs (R) 944.4

Cassowary Coast (R) 944.2

Cloncurry (S) 943.3

Somerset (R) 941.9

Burke (S) 932.0

Diamantina (S) 930.7

Bundaberg (R) 930.0

Gympie (R) 928.7

North Burnett (R) 927.8

South Burnett (R) 923.9

Fraser Coast (R) 916.8

Paroo (S) 904.7

Cook (S) 901.9

Torres (S) 899.1

Boulia (S) 889.9

Carpentaria (S) 869.4

Northern Peninsula Area (R) 704.9

Mapoon (S) 699.3

Torres Strait Island (R) 662.5

Lockhart River (S) 658.4

Wujal Wujal (S) 655.4

Hope Vale (S) 620.6

Pormpuraaw (S) 618.9

Mornington (S) 603.9

Palm Island (S) 592.7

Kowanyama (S) 584.8

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Doomadgee (S) 549.6

Napranum (S) 535.2

Woorabinda (S) 509.9

Aurukun (S) 483.5

Cherbourg (S) 451.5

Yarrabah (S) 440.7

Source: Australian Bureau of Statistics, Census of Population and Housing 2011. Compiled and presented in profile.id by .id, thepopulation experts.

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Where does Gold Coast City's workforce come from? Journey to Work data sheds light on how many workers live

locally, how many commute from other areas and which areas they commute from. Some areas attract a large

external workforce because they have major employment centres or because local residents have a different set of

skills or aspirations than the local jobs require. Understanding where workers reside assists in planning and advocacy

for roads and public transport provision. It also helps to clarify economic and employment drivers across areas and

assists in understanding the degree to which Gold Coast City provides local employment.

Overview

Detailed breakdown by SLA

Workers' place of residence

Residential location of workers

Gold Coast City 2011Number %

Live and work in the area 163,026 88.3

Live and work in the same SLA 42,058 22.8

Live in the area and work in different SLA 120,968 65.5

Work in the area, but live outside 21,557 11.7

Total workers in the area 184,583 100.0

Source: Australian Bureau of Statistics, Census of Population andHousing 2011. Compiled and presented in profile.id by .id, thepopulation experts.

Residential location of workers, 2011

Source: Australian Bureau of Statistics, Census of Population andHousing, 2011 (Usual residence data)Compiled and presented in profile.id by .id, the population experts.

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Source: Australian Bureau of Statistics, Census of Population and Housing 2011.

NOTE: Table totals may not equate with other similar tables due to randomisation of small numbers. Please refer to

the specific data notes for more information.

Residential locations of workers by SLA, 2011

Report a map errorMap Data - Terms of Use

Residential location of workers by SLA

Total area 2011Number %

Gold Coast (C) - Southport 9,076 4.9

Gold Coast (C) - Mudgeeraba-Reedy Creek 8,701 4.7

Gold Coast (C) - Nerang 8,426 4.6

Gold Coast (C) - Robina 7,360 4.0

Gold Coast (C) - Biggera Waters-Labrador 7,300 4.0

Gold Coast (C) - Surfers Paradise 7,014 3.8

Gold Coast (C) - Kingsholme-Upper

Coomera

6,992 3.8

Gold Coast (C) - Ashmore-Benowa 6,976 3.8

Gold Coast (C) - Parkwood-Arundel 6,571 3.6

Gold Coast (C) - Carrara-Merrimac 6,425 3.5

Gold Coast (C) - Pacific Pines-Gaven 5,562 3.0

Gold Coast (C) - Paradise Point-Runaway

Bay

5,486 3.0

Gold Coast (C) - Helensvale 5,352 2.9

Gold Coast (C) - Mermaid Wtrs-Clear Is.

Wtrs

5,304 2.9

Gold Coast (C) - Oxenford-Maudsland 5,103 2.8

Tweed (A) - Tweed-Heads 4,948 2.7

Gold Coast (C) - Varsity Lakes 4,858 2.6

Gold Coast (C) - Burleigh Waters 4,682 2.5

Gold Coast (C) - Palm Beach 4,482 2.4

Gold Coast (C) - Broadbeach-Mermaid

Beach

4,212 2.3

Legend

Gold Coast City

Number of workers

11 to 418 people

418 to 1,517 people

1,517 to 3,743 people

3,743 to 5,562 people

5,562 to 9,076 people

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Where do Gold Coast City's residents go to work? Journey to Work data shows how many residents work locally, and

how many commute out of the area and where they commute to. Some areas consist mainly of dormitory' suburbs and

the majority of the residents commute out to work. Other areas have large employment centres which attract a local

workforce. Understanding where Gold Coast City's residents go to work assists in planning and advocacy for roads

and public transport provision. It also helps to clarify the economic and employment drivers across areas and assists

in understanding the degree of employment self-containment within Gold Coast City.

Overview

Detailed breakdown by SLA

Residents' place of work

Employment location of residents

Gold Coast City 2011Number %

Live and work in the area 163,026 70.4

Live and work in the same SLA 42,058 18.2

Live in the area and work in different SLA 120,968 52.2

Live in the area, but work outside 32,398 14.0

Work location unknown 36,209 15.6

Total employed residents 231,633 100.0

Source: Australian Bureau of Statistics, Census of Population andHousing 2011. Compiled and presented in profile.id by .id, thepopulation experts.

Employment location of residents 2011

Source: Australian Bureau of Statistics, Census of Population andHousing, 2011 (Usual residence data)Compiled and presented in profile.id by .id, the population experts.

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Source: Australian Bureau of Statistics, Census of Population and Housing 2011.

NOTE: Table totals may not equate with other similar tables due to randomisation of small numbers. Please refer to

the specific data notes for more information.

Employment locations of residents by SLA,

Report a map errorMap Data - Terms of Use

Employment location of residents by SLA

Total area 2011Number %

Gold Coast (C) - Southport 22,834 9.9

POW State/Territory undefined (Qld) 15,653 6.8

POW No Fixed Address (Qld) 11,889 5.1

Gold Coast (C) - Robina 11,177 4.8

Gold Coast (C) - Surfers Paradise 10,119 4.4

Gold Coast (C) - Burleigh Heads 8,042 3.5

Gold Coast (C) - Nerang 8,012 3.5

Gold Coast (C) - Ashmore-Benowa 6,854 3.0

Gold Coast (C) - Ormeau-Yatala 6,749 2.9

Gold Coast (C) - Broadbeach-Mermaid

Beach

6,670 2.9

POW not stated 6,080 2.6

Gold Coast (C) - Molendinar 5,702 2.5

Gold Coast (C) - Biggera Waters-Labrador 5,626 2.4

Gold Coast (C) - Helensvale 5,457 2.4

Gold Coast (C) - Bundall 4,920 2.1

Gold Coast (C) - Parkwood-Arundel 4,390 1.9

Gold Coast (C) - Carrara-Merrimac 4,115 1.8

Gold Coast (C) - Paradise Point-Runaway

Bay

3,874 1.7

Gold Coast (C) - Varsity Lakes 3,720 1.6

Gold Coast (C) - Mudgeeraba-Reedy Creek 3,645 1.6

Legend

Gold Coast City

Number of residents

11 to 1,180 people

1,180 to 4,390 people

4,390 to 8,042 people

8,042 to 15,653 people

15,653 to 22,834 people

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Migration, or residential mobility, together with births and deaths are significant components of population change in

Australia. The movement of people into, and out of an area directly influences the characteristics of the population

and the demand for services and facilities. Migration is the most volatile component of population change and can be

affected by changing housing and economic opportunities such as housing affordability issues or the mining boom.

There are three main types of migration in Australia, overseas migration, between-state migration, and within-state

migration. By far the most common form of migration is within-state, and largely involves moves between neighbouring

and existing urban areas where moves are often short.

Looking at the level and type of migration in Gold Coast City can indicate whether the population is sedentary and

likely to be in the area for a long time (and perhaps have significant ties to the community), or transient, and likely to

move on. Related topics which can be viewed to get a clearer picture of population mobility include Age Structure and

Housing Tenure.

Migration summary

Previous residential location of current residents in 2011

Gold Coast City

Number Percentage

Residents who did NOT move between 2006 and 2011 202,569 41.0

Total residents who moved between 2006 and 2011 226,402 45.8

Residents who had moved within Gold Coast City between 2006 and 2011 114,402 23.1

Residents who moved from another part of Queensland 31,759 6.4

Residents who moved from another part of Australia 39,719 8.0

Residents who moved from another country 37,221 7.5

Residents who moved from an unknown area 3,467 0.7

Not stated - Didn't state whether or not moved 34,447 7.0

Not applicable - Births between 2006 and 2011 31,078 6.3

Total 2011 usual resident population 494,496 100.0


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For comparison, across Australia in 2011, 51.2% of residents did not move in 5 years, 36.6% moved, while 6.6% were

aged under 5, and 5.6% did not state their movement.

Previous residential location of current residents in 2011

Source: Australian Bureau of Statistics, Census of Population and Housing, 2011 (Usual residence data)Compiled and presented by in profile.id by .id, the population experts.

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Understanding where Gold Coast City's current residents have moved from helps in predicting future mobility patterns

and demographic change. Understanding where Gold Coast City's residents are moving to indicates areas of

population growth and informs possible strategies to retain and attract residents.

Generally, areas of new housing growth attract residents from established areas, especially young couples and

families. Coastal communities attract retirees and people seeking a lifestyle change, while inner city areas and areas

near universities attract young adults. These are broad demographic trends, while local demographic factors also

have a major impact on population movement.

Gold Coast City's migration data below provides a summary of where current residents lived five years prior to the last

Census. The top ten local government areas of population movement are ranked, based on net change - that is, the

difference between those who moved in and those who moved out. The areas with the greatest net change (gain or

loss) to a particular area may not necessarily be those with the greatest population exchange.

Migration by location

Migration into and out of the area, 2006 to 2011

Gold Coast City

Number

Current residents who moved at least once between 2006 and 2011 226,402

Residents who had moved within Gold Coast City 114,402

Migration from other parts of Queensland 31,759

Migration to other parts of Queensland 27,626

Net Migration from other parts of Queensland 4,133

Migration from other parts of Australia 39,719

Migration to other parts of Australia 24,604

Net Migration from other parts of Australia 15,115

Migration from other countries 37,221

Migration to other countries --

Net Migration from other countries --


Migration between the area and other States/Territories

Gold Coast City

State / Territory In migrationOut

migrationNet

migration

New South Wales 24,358 13,043 11,315

Victoria 7,497 5,912 1,585

Queensland 31,759 27,626 4,133

South Australia 2,085 1,167 918

Western Australia 2,239 2,055 184

Tasmania 1,479 1,034 445

Northern Territory 712 667 45

Australian Capital Territory 1,349 726 623

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Source: Australian Bureau of Statistics, Census of Population and Housing, 2011 (Usual Residence Data). Compiled and presentedin profile.id by .id, the population experts.

Top 10 LGAs ranked by net loss to the area

Gold Coast City

LGA In migrationOut

migrationNet

migration

Fraser Coast (R) 507 1,209 -702

Tweed (A) 3,112 3,584 -472

Bundaberg (R) 398 737 -339

Scenic Rim (R) 1,278 1,593 -315

No usual address (Qld) 132 427 -295

Southern Downs (R) 216 394 -178

Lockyer Valley (R) 185 362 -177

Sunshine Coast (R) 1,511 1,680 -169

Gladstone (R) 288 413 -125

Port Phillip (C) 164 286 -122


Top 10 LGAs ranked by net gain to the area

Gold Coast City

LGA In migrationOut

migrationNet

migration

Brisbane (C) 9,044 7,385 1,659

Logan (C) 5,758 4,152 1,606

Sutherland Shire (A) 809 192 617

Unincorporated ACT 1,323 720 603

Redland (C) 1,480 917 563

The Hills Shire (A) 606 122 484

Blacktown (C) 578 133 445

Warringah (A) 635 191 444

Penrith (C) 588 153 435

Coffs Harbour (C) 733 398 335


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The age structure of people who move into and out of Gold Coast City is strongly influenced by the residential role

and function of the area and can influence demand for particular services. For instance, inner city areas near

employment, education and entertainment tend to attract many young people in their late teens and early twenties,

who move out in their late twenties and thirties to start families in suburban areas. Rural areas tend to lose young

people and gain older families and retirees.

Understanding Gold Coast City's attraction to different age groups helps to plan services for the community as well as

advocating with other levels of government and private enterprise to provide infrastructure, employment opportunities

and facilities which may help to retain age groups which are otherwise leaving the area.

Migration by age

Migration by age group 2011

Gold Coast City

In migrationOut

migrationNet

migration

5 to 11 years +6,855 -4,518 +2,337

12 to 17 years +4,945 -2,842 +2,103

18 to 24 years +10,964 -6,385 +4,579

25 to 34 years +14,901 -12,960 +1,941

35 to 44 years +11,952 -8,743 +3,209

45 to 54 years +8,427 -5,865 +2,562

55 to 64 years +7,251 -5,428 +1,823

65 years and over +6,186 -5,489 +697

Total +71,481 -52,230 +19,251


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Net migration by age group 2011

Source: Australian Bureau of Statistics, Census of Population and Housing, 2011 (Usual residents data)Compiled and presented in profile.id by .id, the population experts.

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The Estimated Resident Population is the OFFICIAL Gold Coast City population for 2012.

Populations are counted and estimated in various ways. The most comprehensive population count available in

Australia is derived from the Census of Population and Housing conducted by the Australian Bureau of

Statistics every five years. However the Census count is NOT the official population of Gold Coast City. To

provide a more accurate population figure which is updated more frequently than every five years, the

Australian Bureau of Statistics also produces "Estimated Resident Population" (ERP) numbers for Gold Coast

City.

See data notes for a detailed explanation of different population types, how they are calculated and when to

use each one.

Estimated Resident Population (ERP)


Gold Coast City

Year (ending June 30) NumberChange in

numberChange in

percent

2001 379,679 -- --

2002 394,631 +14,952 +3.94

2003 410,545 +15,914 +4.03

2004 424,005 +13,460 +3.28

2005 436,671 +12,666 +2.99

2006 450,075 +13,404 +3.07

2007 466,940 +16,865 +3.75

2008 481,569 +14,629 +3.13

2009 495,835 +14,266 +2.96

2010 506,135 +10,300 +2.08

2011 515,202 +9,067 +1.79

2012 526,173 +10,971 +2.13

Source: Australian Bureau of Statistics, Regional Population Growth, Australia (3218.0). Compiled and presented in profile.id by .idThe population experts

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Source: Australian Bureau of Statistics, Regional Population Growth, Australia (3218.0). Compiled and presented by.id the population experts

Annual change in Estimated Resident Population (ERP)


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Gold Coast City's building approvals are used as a leading indicator of the general level of residential

development, economic activity, employment and investment. Residential building activity depends on many

factors that vary with the state of the economy including interest rates, availability of mortgage funds,

government spending, and business investment. Large financial changes or shocks, such as the Global

Financial Crisis of 2008/09 can be observed in the data. However, the number of building approvals can

fluctuate substantially from year to year simply as a result of the short-term nature of many construction

projects, and the cyclical nature of the industry.

Residential building approvals


Gold Coast City Number Annual changeYear (ending June 30) Houses Other Total Houses Other Total

2012-13 1,265 1,245 2,510 -70 +303 +233

2011-12 1,335 942 2,277 -128 -255 -383

2010-11 1,463 1,197 2,660 -855 -66 -921

2009-10 2,318 1,263 3,581 +533 -1,343 -810

2008-09 1,785 2,606 4,391 -541 -861 -1,402

2007-08 2,326 3,467 5,793 -1,616 +472 -1,144

2006-07 3,942 2,995 6,937 +3,304 +1,039 +4,343

2005-06 638 1,956 2,594 +33 +133 +166

2004-05 605 1,823 2,428 -348 -1,071 -1,419

2003-04 953 2,894 3,847 -384 -133 -517

2002-03 1,337 3,027 4,364 -577 +1,505 +928

2001-02 1,914 1,522 3,436 +927 +442 +1,369

2000-01 987 1,080 2,067 -234 -765 -999

1999-00 1,221 1,845 3,066 +185 +723 +908

1998-99 1,036 1,122 2,158 -173 -939 -1,112

1997-98 1,209 2,061 3,270 -231 +902 +671

1996-97 1,440 1,159 2,599 +187 -76 +111

1995-96 1,253 1,235 2,488 -- -- --

Source: Australian Bureau of Statistics, Building Approvals, Australia (8731.0). Compiled and presented in profile.id by .id Thepopulation experts

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Source: Australian Bureau of Statistics, Building Approvals, Australia (8731.0). Compiled and presented by .id, thepopulation experts.

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Abbreviations

AbbreviationDescription

ABS Australian Bureau of Statistics

AHS Average household size (average number of persons per dwelling). Calculated by dividing the number of people in occupied private dwellings

by the number of occupied private dwellings.

ANZSCO Australian and New Zealand Standard Classification of Occupations

ANZSIC Australian and New Zealand Standard Industry Classification

ASCED Australian Standard Classification of Education

ASCL Australian Standard Classification of Languages

ASGC Australian Standard Geographical Classification

ASGS Australian Statistical Geography Standard (2011-on)

ATSI Aboriginal or Torres Strait Islander

CCD Census Collection District - the smallest geography for which Census data was available in 2006 and earlier years.

ERP Estimated Resident Population

LGA Local Government Area

NEC Not Elsewhere Classified

NFD Not Further Described

NPD Non-Private Dwelling

OPD Occupied private dwelling

SA1 Area Level 1 (the smallest geography for which Census data is available in 2011)

SA2 Statistical Area Level 2

SACC Standard Australian Classification of Countries

SEIFA Socio-Economic Indexes for Areas

SLA Statistical Local Area (a statistical area 'usually' smaller than an LGA)

TAFE Technical And Further Education institute

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Gold Coast City has 52 small areas:

Census geography overview

Census data is available at a variety of different geographic levels such as State, Capital City, Local Government

Area, Suburb and Postal Area. These areas are created by aggregating smaller units of geography together into a

'best fit.'

The boundaries available from the ABS rarely match actual 'communities', 'suburbs' or 'service catchments' needed

for effective decision making, and even if they do, they are seldom available on the same geographic basis over time,

making it very difficult to identify trends in population characteristics based on meaningful areas.

For the 2011 Census, the Australian Bureau of Statistics (ABS) implemented a brand new geographic structure, which

is based on labour force areas. This is known as the Australian Standard Geography Standard, and uses the base

unit of the SA1 (Statistical Area Level 1). These build into SA2s, SA3s, SA4s and Greater Capital City Areas.

For previous Censuses the base building block was called a Census Collector District. Census Collector Districts

aggregated to Local Government Areas.

Local Government Areas are available from the 2011 Census output. They are created by aggregating SA1s.

However these SA1s do not sum exactly to Local Government boundaries, making geographic breakdowns

problematic, and time series even more difficult.

profile.id resolves all of these issues to create a meaningful geography that can be analysed over a long time period.

Gold Coast City geography

This profile provides Census data for Gold Coast City broken down into small areas based on customised

suburbs/localities.

For the 1991, 1996, 2001 and 2006 Census years these small areas are created by aggregating Census Collection

Districts. For the 2011 Census they are created by aggregating Statistical Area Level 1 units.

Where SA1s or CCDs do not fit exactly into a suburb or locality boundary, estimates are made in each Census year of

the number of dwellings to be included. These estimates use aerial photography, dwelling counts, planning schemes,

and street directories to determine what percentage of each SA1 or CCD to include in the suburb.

This means that regardless of the Census year, and the changes in ABS output boundaries, the data presented in

profile.id exactly matches the suburb/locality boundary. This provides the most accurate population information for

suburbs and localities and a meaningful time series for the current geography.

NOTE: The geography in the Community Profile tables may not match the Australian Bureau of Statistics (ABS) SA2,

state suburb or postal area boundaries, which are based on aggregation of whole SA1s and are not comparable to

previous Census years.

Notes - geography

Ashmore - Benowa

Ashmore - Benowa is bounded by the Southport-Nerang Road in the

north, Wardoo Street, Slatyer Avenue and the suburb of Bundall in the

east, the Nerang River in the south, and the Pacific Motorway in the

west.

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Biggera Waters - Labrador

Biggera Waters - Labrador is bounded by Coombabah Road, Harbour

Quays Drive and Drome Street in the north, The Broadwater in the

east, Loders Creek and Musgrave Avenue in the south, and Olsen

Avenue, the Gold Coast Highway and Pine Ridge Road in the west.

Bilinga - Tugun

Bilinga - Tugun is bounded by the Coral Sea in the north, the suburb of

Coolangatta in the east, the New South Wales border in the south, and

the Pacific Motorway, Stewart Road, Blamey Drive and Flat Rock Creek

in the west.

Broadbeach - Mermaid Beach

Broadbeach - Mermaid Beach is bounded by Monte Carlo Avenue and

First Avenue in the north, the Coral Sea in the east, Chairlift Avenue in

the south, and the suburb of Mermaid Waters, Little Tallebudgera

Creek, T. E. Peters Drive, Eady Avenue and Little Tallebudgera Creek

in the west.

Broadbeach Waters

Broadbeach Waters is bounded by the Nerang River in the north, Little

Tallebudgera Creek, Eady Avenue, T. E. Peters Drive and Little

Tallebudgera Creek in the east, Melody Street, Sunshine Boulevard,

Hooker Boulevard and Nerang-Broadbeach Road in the south, and the

locality of Carrara in the west.

Bundall

Bundall is bounded by Slatyer Avenue in the north, Bundall Road in the

east, the Nerang River in the south, and the suburb of Benowa in the

west.

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Burleigh Heads

Burleigh Heads is bounded by Christine Avenue, Sixth Avenue and the

Coral Sea in the north, Tallebudgera Creek in the east, the Pacific

Motorway and the suburb of Tallebudgera in the south, and Old Coach

Road, the Pacific Motorway, Reedy Creek Road, West Burleigh Road

and the suburb of Burleigh Waters in the west.

Burleigh Waters

Burleigh Waters is bounded by the suburb of Mermaid Waters, Bardon

Avenue, Glebe Place, Joeith Court and Mountain View Avenue in the

north, Babbler Court, Christine Avenue, Lemana Lane, Symonds Road

and Acanthus Avenue in the east, West Burleigh Road and Reedy

Creek Road in the south, and Mattocks Road, Christine Avenue and

Bermuda Street in the west.

Carrara - Merrimac

Carrara - Merrimac is bounded by the Nerang River in the north,

Manchester Road, the Nerang-Broadbeach Road, Gooding Drive and

Robina Parkway in the east, Mudgeeraba Creek and the suburb of

Robina in the south, and the Pacific Motorway, Pappas Way, the

transmission line, the drain, Nerang-Broadbeach Road and Lakeview

Drive in the west.

Coolangatta

Coolangatta is bounded by the Coral Sea in the north, Boundary Street

in the east, Dixon Street and the New South Wales border in the south,

and the suburb of Bilinga in the west.

Coombabah

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Coombabah is bounded by Turana Street in the north, Oxley Drive and

Pine Ridge Road in the east, the Gold Coast Highway in the south, and

Coombabah Creek in the west.

Currumbin

Currumbin is bounded by the Coral Sea in the north, Flat Rock Creek,

Blamey Drive and Stewart Road in the east, the Pacific Motorway in the

south, and Currumbin Creek in the west.

Currumbin Valley - Tallebudgera

Currumbin Valley - Tallebudgera is bounded by the locality of Reedy

Creek, Old Coach Road, the locality of Burleigh Heads and the Pacific

Motorway in the north, Tallebudgera Creek, Guineas Creek Road, the

locality of Elanora, Marsh Place and Piggabeen Road in the east, the

New South Wales border in the south, and the localities of Springbrook,

Austinville and Bonogin in the west.

Currumbin Waters

Currumbin Waters is bounded by Guineas Creek Road in the north, the

Pacific Motorway in the east, the New South Wales border in the south,

and Piggabeen Road and Simpsons Road in the west.

Elanora

Elanora is bounded by the Pacific Motorway in the north, Guineas

Creek Road and Simpsons Road in the east, the locality of Currumbin

Valley in the south, and the locality of Tallebudgera and the

Tallebudgera Creek in the west.

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Guanaba - Springbrook

Guanaba - Springbrook is bounded by Caballo Road, Kriedeman Road

and Wongawallan Creek in the north, the Coomera River, Clagiraba

Road, a line running continuous of Clagiraba Road, the Nerang River,

Duncan Road, The Panorama, Little Nerang Road, Gold-Coast

Springbrook Road, the localities of Neranwood, Mudgeeraba and

Bonogin, Tallowwood Road and the locality of Tallebudgera Valley in

the east, the New South Wales border in the south, and the Scenic Rim

Regional Council area in the west.

Helensvale

Helensvale is bounded by the Coomera River and Saltwater Creek in

the north, Coombabah Creek in the east, and the Pacific Motorway in

the south and west.

Hope Island

Hope Island is bounded by the Coomera River in the north, north-east

and west, Coombabah Creek in the south-east, and Saltwater Creek in

the south.

Jacobs Well - Alberton

Jacobs Well - Alberton is bounded by the Logan River, Redland City

and Moreton Bay in the north, the Coral Sea in the east, the Main

Channel and the Pimpama River in the south, and the locality of

Ormeau, Burnside Road, Jacobs Well Road and Rotary Park Road in

the west.

Kingsholme - Upper Coomera

Kingsholme - Upper Coomera is bounded by Shaws Pocket Road, the

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locality of Luscombe, Cliff Barrons Road, Upper Ormeau Road and the

Pimpama River in the north, the locality of Pimpama and the Pacific

Motorway in the east, the Coomera River, Wongawallan Creek,

Kriedeman Road, Caballo Road and the locality of Guanaba in the

south, and the Scenic Rim Regional Council area and Logan City in the

west.

Main Beach - South Stradbroke

Main Beach - South Stradbroke is bounded by the Canaipa Passage in

the north, the Coral Sea in the east, the suburb of Surfers Paradise

and the Gold Coast Highway in the south, and the Nerang River and

The Broadwater in the west.

Mermaid Waters - Clear Island Waters

Mermaid Waters - Clear Island Waters is bounded by Gooding Drive,

Nerang-Broadbeach Road, Hooker Boulevard, Sunshine Boulevard

and Melody Parade in the north, the suburb of Mermaid Beach in the

east, the Gold Coast Highway, Kiers Road, Pacific Avenue, the suburb

of Miami and Bermuda Street in the south, and Markeri Street and

Robina Parkway in the west.

Miami

Miami is bounded by Pacific Avenue, the suburb of Mermaid Waters,

the Gold Coast Highway and Chairlift Avenue in the north, the Coral

Sea in the east, Sixth Avenue, Christine Avenue, Babbler Court,

Mountain View Avenue, Joeith Court and Grebe Place in the south, and

the suburbs of Burleigh Waters and Mermaid Waters in the west.

Molendinar

Molendinar is bounded by the Smith Street Motorway in the north,

Olsen Avenue in the east, the Southport-Nerang Road in the south,

and the Pacific Motorway in the west.

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Mudgeeraba - Reedy Creek

Mudgeeraba - Reedy Creek is bounded by the locality of Tallai,

Wallandra Road, Old Coach Road and Mudgeeraba Road in the north,

the Pacific Motorway and Old Coach Road in the east, the localities of

Tallebudgera Valley and Austinville in the south, and the locality of

Advancetown in the west.

Nerang

Nerang is bounded by Maudsland Road, Beaudesert-Nerang Road, the

localities of Maudsland, Pacific Pines and Gaven in the north, Matilda

Road, the Pacific Motorway, the Nerang River, Lakeview Drive, Nerang-

Broadbeach Road, the drain, the transmission line, Pappas Way and

the Pacific Motorway in the east, the locality of Worongary, Worongary

Road and the locality of Tallai in the south, and the Nerang River, the

locality of Advancetown, Clagiraba Road, Clagiraba Creek and the

Coomera River in the west.

Ormeau - Yatala

Ormeau - Yatala is bounded by Keogh Road, Johnstone Road, Rotary

Park Road and Jacobs Well Road in the north, Burnside Road and the

localities of Gilberton and Norwell in the east, the Pimpama River, Cliff

Barrons Road, the locality of Kingsholme and Shaws Pocket Road in

the south, and the Albert River and Logan City in the west.

Oxenford - Maudsland

Oxenford - Maudsland is bounded by the Coomera River in the north

and west, the Pacific Motorway, Universal Street, Hervey Street,

Binstead Way, Kopps Road, Saltwater Creek and the locality of Pacific

Pines in the east, and the locality of Nerang, Beaudesert-Nerang Road

and Maudsland Road in the south.

Pacific Pines - Gaven

Pacific Pines - Gaven is bounded by Kopps Road, Binstead Way,

Hervey Street and Universal Street in the north, the Pacific Motorway in

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the east, Matilda Road, the locality of Nerang and Nerang National Park

in the south, and Saltwater Creek and the locality of Maudsland in the

west.

Palm Beach

Palm Beach is bounded by the Coral Sea in the north, Currumbin

Creek in the east, the Pacific Motorway in the south, and Tallebudgera

Creek in the west.

Paradise Point - Runaway Bay

Paradise Point - Runaway Bay is bounded by the Coomera River in the

north, The Broadwater in the east, Drome Street, Morala Avenue and

Coombabah Road in the south, and Pine Ridge Road, Oxley Drive,

Turana Drive and Coombabah Creek in the west.

Parkwood - Arundel

Parkwood - Arundel is bounded by the Gold Coast Highway in the

north, Olsen Avenue in the east, the Smith Street Motorway in the

south, and the Pacific Motorway and Coombabah Creek in the west.

Pimpama - Coomera

Pimpama - Coomera is bounded by the Pimpama River in the north and

east, the Coomera River in the south, and the Pacific Motorway and the

localities of Upper Coomera, Willow Vale and Kingsholme in the west.

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Robina

Robina is bounded by Markeri Street and Bermuda Street in the north,

Ring Road, Bond University, University Drive, Geraldton Drive and the

suburb of Varsity Lakes in the east, the Pacific Motorway in the south,

and the locality of Merrimac and Mudgeeraba Creek in the west.

Southport

Southport is bounded by Musgrave Avenue and Loders Creek in the

north, The Broadwater and the Nerang River in the east, Slatyer

Avenue, Wardoo Street and Southport-Nerang Road in the south, and

Olsen Avenue in the west.

Surfers Paradise

Surfers Paradise is bounded by Commodore Drive and the Gold Coast

Highway in the north, the Coral Sea in the east, First Avenue, Monte

Carlo Avenue and the Nerang River in the south, and Bundall Road

and the Nerang River in the west.

Varsity Lakes

Varsity Lakes is bounded by Bermuda Street in the north, Christine

Avenue and Mattocks Road in the east, Reedy Creek Road and the

Pacific Motorway in the south, and the suburb of Robina, Geraldton

Drive, University Drive, Bond University and Ring Road in the west.

Worongary - Tallai

Worongary - Tallai is bounded by the localities of Gilston and Highland

Park in the north, the Pacific Motorway, Mudgeeraba Road, Old Coach

Road and the locality of Mudgeeraba in the east, Wallandra Road and

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the locality of Mudgeeraba in the south, and the locality of

Advancetown and The Panorama in the west.

Division 1

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All data in this Profile is sourced from the All data in this Profile is sourced from the Australian Bureau of StatisticsAustralian Bureau of Statistics, copyright in ABS data vests in the, copyright in ABS data vests in the

Commonwealth of Australia.Commonwealth of Australia.

The most comprehensive population count available in Australia is derived from the Census of Population and

Housing, conducted by the Australian Bureau of Statistics every five years. It is an official count of all people and

dwellings in Australia on Census night, and collects details of age, sex, religion, education and other characteristics of

the population. The last Census was conducted on 9 August 2011 and was the sixteenth national Census for

Australia. The next Census will be conducted in August 2016.

Census statistics are used as the basis for estimating the population at national, state and local government levels,

for electoral purposes and the distribution of government funds. They are used by individuals and organisations in

the public and private sectors for planning, administration, research and decision making.

You would think counting people was pretty straightforward, but populations are estimated in various ways. It is

important to understand how a population has been derived when you are using the data.

In profile.id, there are three different population types which you need to be aware of:

Enumerated Population

Enumerated population refers to the population counted in Gold Coast City on Census night. Because it is impossible

to catch everyone at home on one night, the Census counts people wherever they were sleeping that night. This

might include people who usually live somewhere else but were staying in the area on business or holiday.

This type of count provides a snapshot at a given point in time. The Census is timed to capture the typical situation,

however, holiday resort areas, such as the Gold Coast and snow fields, may show a large enumeration count

compared with the number of people who usually live there.

Where enumerated population data is used in the profile, overseas visitors have been specifically excluded from the

tables, but visitors from within Australia are included.

For detailed information about Enumerated population please refer to the ABS Fact Sheet on Population Measures.

Usual Residence Population

Usual Residence population refers to the population that usually lives in Gold Coast City rather than the population

that was counted there on Census night. Each person completing the Census is required to state their address of

usual residence and this information is used to derive the Usual Residence population. To be counted as the usual

residence, a person has to have lived or intend to live in the dwelling for six months or more of the year.

Usual residence counts are less likely to be influenced by seasonal factors, such as holiday seasons and snow

seasons, and provide information about the usual residents of an area.

In 2011, 2006 and 2001 all Census data are provided for usual residence as well as enumerated population. Usual

residence is the default output for data on individuals in profile.id, and most data from the ABS is published on a

usual residence basis.

Information on households and dwellings in profile.id is only presented on an as enumerated basis, as usual resident

counts are not available at the dwelling or household level. However, while they are referred to as enumeration

counts, household characteristics are partially usual residence-based as they are determined with reference to up to

three people recorded as temporarily absent on the form.

Additionally, data about usual residence for areas below the LGA level were not published for any data sets prior to

2001. Consequently, usual residence data are not available for the 1996 and 1991 Census years in profile.id, and to

access these years, enumeration counts need to be selected.

For detailed information about Enumerated population please refer to the ABS Fact Sheet on Population Measures.

Notes - population types

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Estimated Resident Population

The Estimated Resident Population (ERP) is the official ABS estimate of the Australian population. The ERP is based

on results of the Census and is compiled as at 30 June of each Census year. It is updated between Censuses -

quarterly for state and national figures, and annually for local government areas and provides a population figure

between Censuses.

The ERP is based on the usual residence population and includes adjustments for Census undercount, Australian

residents who were temporarily overseas on Census night, and backdates the population to 30 June. Each years

updates take into account births, deaths and both internal and overseas migration.

The ERP is rebased after the results of the Census are released, with adjustments to the population counts made for

the previous 5 years, back to the year after the previous Census. These adjustments take into account the population

numbers of the most recent Census and improve the accuracy of the intercensal counts in hindsight. Any intercensal

ERP is subject to this review after the Census results are released.

ERPs can be found under the 'Population estimate section of the menu in the Community Profile.

For detailed information about ERPs please refer to the ABS publication Population Estimates: Concepts, Sources

and Methods, 2009.

Which population should you use?

As a general rule, if you just want an official population count you should use the Estimated Resident Population as it

is more accurate and is the official population figure. ERPs are also used as the basis for all future projections of the

population.

However, the Estimated Resident Population is not broken down into population characteristics such as birthplace,

religion, industry or occupation etc. Therefore, if you are exploring or reporting on the characteristics of a population

you need to choose between the Enumerated or Usual Residence populations.

For most areas the numbers will be very similar, and if you are looking at demographic characteristics, it is normally

percentages which matter, rather than raw numbers. Both populations are useful measures, and neither is "wrong".

You do need to make sure that you are consistent about which population base you decide to use, if you are

comparing information between different topics.

Areas with lots of hotels or full tourist accommodation even in winter include CBDs of major cities, Queensland coastal

holiday resorts and NSW and Victorian ski fields, and these areas are likely to show a difference between the two

counts. In this case, if you want to know about how many people are both living and staying in the area and using

services, you should use the Enumerated population. But if you specifically want to know only about the people who

live in an area, use the Usual Residence population.

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A household is a group of people within a single dwelling who make shared provision for food. For the purposes of

Census, a household is any group of people counted in a private dwelling, and so the number of occupied private

dwellings is equal to the number of households.

Household composition indicates whether a family is present and whether other unrelated household members are

present. Any household, including lone person households, can contain visitors. For the purposes of profile.id family

characteristics are also included with household characteristics. Where more than one family reside in a dwelling, the

household is counted as having the characteristics of the primary family in that household (e.g. couple with children,

lone parent etc.).

The 'Other not classifiable' household category primarily includes those households which were occupied on Census

night but where the Census collector could not make contact and a form was never returned. They are also referred

to as ‘non response households’. For more information on this, please refer to the Non-response rates statement on

the ABS website.

The household and family data are essentially the same for both Usual Residence and Enumerated population

counts. The person who fills in the form identifies all persons who are present on Census night and their relationship

within the household. Anyone who is temporarily absent is separately identified on the form, so that the type of

household and number of usual residents can be identified. However, any table examining the characteristics of

people by the type of household they live in will exclude these people as few demographic variables are collected for

persons temporarily absent.

Persons who are away from home, will be counted in the household they are present in on Census night (generally in

a non-private dwelling or as a visitor in a private dwelling). Although the ABS will know their usual address, and they

will be included in the population usual resident counts for that area, the ABS is not able to determine that person’srelationship to other people also resident at that address, so in this way, household counts are still partially

enumeration based.

Notes - household composition

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The information presented in the tables in profile.id is based on detailed tables produced by the Australian Bureau of

Statistics at the Local Government Area level, and at the Statistical Area Level 1 (SA1) level for suburbs and small

areas in 2011 (Census Collection District (CD) for prior Census years).

The Australian Bureau of Statistics (ABS) will randomise information it provides to preserve confidentiality. All cells are

slightly adjusted to prevent any identification of personal details. Methodologies for doing this changed between 2001

and 2006.

Data tables released prior to the 2006 Census had small numbers (values of 1 or 2) randomly adjusted to either 0 or

3 by the ABS. As tables are randomly adjusted independently of each other, totals differ slightly across tables with the

same population. The effect of randomisation is increased with the aggregation of CDs into suburbs and localities.

For the 2006 and 2011 Census, a different method called perturbation was used. All figures included within any table

may be randomly adjusted by a small amount. These adjustments result in small introduced random errors. This

method was introduced, so that not only could individuals not be directly identified in the data, but “differencing” couldnot be employed to derive individual characteristics. Differencing is deriving two separate tables with a small

difference, the calculation of which may be as little as one person. Perturbation makes this impossible.

Although the information value of the table as a whole is not impaired, care should be taken when interpreting very

small numbers, since randomisation will affect the relative size of small numbers far more than larger numbers. The

effect of the randomisation methodology also ensures that values of 1 and 2 do not appear in tables.

No reliance should be placed on small cells as they are impacted by random adjustment, respondent and processing

errors.

Table totals and subtotals will be internally consistent but discrepancies may be observed between tables cross-

tabulating the same population by different variables. While perturbation compromises the table totals by making

them appear inconsistent, for a population of any significant size (over 1,000) this perturbation is insignificant, and

still results in the best available socio-demographic data at the suburb level. This level of compromise should not

impact on decision makers making effective resource allocation and planning decisions.

Notes - randomisation of small numbers

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Overseas visitors

Enumerated data from the 2006 and 2011 Censuses are published by the ABS with ‘Overseas visitors’ appearing asa separate category in many tables. To improve usability of the information the category ‘Overseas visitors’ has beenremoved from all place of enumeration based tables. Usual residence tables by definition already have overseas

visitors removed.

Table totals and rounding

Table totals may not equate with other similar tables due to randomisation of small numbers and percentages may not

total to 100 due to rounding of decimal places and rounding of the SA1 level geographic splits. All discrepancies are

minimal and are statistically insignificant.

Notes - overseas visitors and table totals

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Labour force status

Derived from the Census question:

'Last week did the person have a full time or part time job of any kind?'

This topic includes persons aged 15 years and over, and assesses employment in the week prior to the Census.

It is actually derived from 5 Census questions (34, 35, 44, 46 and 47), which look at whether the respondent had a

job, if not, whether they were looking for work, and if they were looking for work whether they were able to start in the

past week.

To classify full or part-time work, the question on hours worked is also used.

'Employed full time' means having worked 35 hours or more in all jobs.

'Employed part time' means having worked less than 35 hours in all jobs.

Please note that the full or parttime status refers only to the week before Census, not to a ‘usual’ number of hours.

The category of ‘Employed – away from work’ was only available since the 2006 Census. The ABS categorises

persons away from work as either employed full time or part time based on usual hours worked. The Census only

uses actual hours worked (Q44) to determine whether someone is employed full-time or part-time and a response to

Q34 to determine whether they were employed, but away from work. To enable time series comparisons in profile.id,

this category has been combined with ‘Employed parttime’.

The 'Labour force' is all persons aged 15 years and over who are either employed or looking for work and available

to start. Both full and part-time work counts towards the labour force.

The percentages in the first table, showing employed and unemployed, are expressed as a percentage of those who

are in the labour force.

The ‘Unemployment Rate’ is defined as the number of unemployed persons (looking for work and available to start)

as a percentage of the labour force. The percentage for ‘Unemployed’ in profile.id is the same as the unemploymentrate.

The ‘Participation Rate’ is defined as the labour force expressed as a percentage of the total population aged 15+.

In profile.id, the percentage in the ‘Total labour force’ category in the second table can be regarded as theparticipation rate. Note, however that it is not directly comparable to participation rates derived from the ABS labour

force monthly survey, because a proportion of the population (5.6% nationally in 2011) don’t state their labour forcestatus. For this reason, Census participation rates are likely to be a little lower than those derived from the survey,

but they are comparable over time and across geographic areas with other Census data.

For more information please refer to the data quality statement for Labour Force Status on the ABS website.


This dataset presents the last 10 years' official population estimates for Gold Coast City, including numerical and

percentage change year on year, and comparison to the selected benchmark.

Estimated Resident Population is the official population of an area, if that area is based on one of the ABS standard

geographic units (SA2s, LGAs). It adjusts for the net undercount found in Census data, people overseas on Census

night, and is updated annually based on the number of registered births, deaths, and an estimate of overseas,

interstate and intra-state migration.

While ERP is the most accurate measure of population at any point in time, it is subject to revision. Minor revisions

are made each year to previous years' populations, and a final revision to the previous 5 years' results happens after

each Census when the results are 'rebased' to the results of the most recent Census. This rebasing can alter

populations significantly, depending on the Census findings, and indeed this is one of the reason we have a Census

every 5 years.

Notes - specific topics

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Despite this revision, the ERP remains the official population count, and is used in allocation of funding at all levels of

government, and the distribution of electorates by the Australian Electoral Commission.

Building approvals

Residential building approvals are compiled by the Australian Bureau of Statistics from permits issued by: local

government authorities and other principal certifying authorities.

The data on this page counts the number of dwelling units created by the issue of building permits, regardless of the

number of actual permits (eg. a single permit for a block of 50 apartments would count in this table as 50).

A residential building is a building consisting of one or more dwelling units. Residential buildings can be either

houses or other residential buildings.

A house is defined as a stand-alone residential structure, separated on all sides from other dwellings by at

least half a metre.

An other residential building is a building other than a house primarily used for long-term residential

purposes. An other residential building contains more than one dwelling unit within the same structure – forexample - semi-detached, row or terrace houses; flats, unit or apartments in blocks, or flats attached to

houses or shops.

Exclusions:

Dwellings created by alterations/additions to existing dwellings are not included.

Dwellings created by building work which is largely nonresidential in nature (eg. a caretaker’s dwelling built aspart of a new hospital) are also not included as dwelling units, though they are included in value of approval data

(not presented in profile.id).

For more information on the building approvals dataset, please refer to ABS catalogue number 8731.0 – BuildingApprovals, Australia.

SEIFA

The SEIFA indexes are derived from Census data by a method called Principal Component Analysis which is a

regression technique that derives an index from a set of variables related to the concept of disadvantage, based on

the level of correlation between those variables.

There are four indexes in the SEIFA set:

Index of Relative Socio-Economic Disadvantage

Index of Relative Socio-Economic Advantage/Disadvantage

Index of Economic Resources

Index of Education and Occupation

Of these, by far the most commonly used is the Index of Relative Socio-Economic Disadvantage (IRSED), and this is

the one presented in profile.id®.

The IRSED compares the level of disadvantage between areas, and is not skewed by a high level of advantage.

Technically a high score only measures a lack of disadvantage – NOT evidence of advantage).

ISRED is derived from the relative proportions of 17 Census characteristics such as:

Low income

Low educational attainment

High unemployment

Residents working in relatively unskilled occupations

High proportion of residents with poor English proficiency

High proportion of single parent families

High proportion of residents paying low rent

For more details on the construction of the index, plus further information on its use, see (Australian Bureau of

Statistics, 2011, Socio-Economic Indexes for Areas (SEIFA 2011) cat. no. 2033.0.55.001) on the ABS website.

The Index of Disadvantage is primarily used to rank areas to apply funding models which address need in the

community, e.g. providing more funding for schools in disadvantaged areas.

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A low SEIFA score for an area does not necessarily imply anything about individuals living in the area as the score is

for the area overall. While a low score probably indicates many low income people living there, it does not imply that

any particular resident is low income.

SEIFA indexes cannot be directly compared over time. The analysis is re-run every Census and different variables

are found to be correlated. For this reason only the latest SEIFA figures are presented on the site. Older indexes are

available on request, but only the relative ranking of areas can be compared, rather than the numbers directly.

For more information about the use of SEIFA please refer to the ABS publication above or contact .id.

Seifa index of disadvantage














Low income


High unemployment
















Population

The data on this page are sourced from a variety of different tables and designed to give a range of population and

dwelling numbers for the area.

All data excludes Overseas Visitors except for the “Overseas visitors” category.

Please note that “Population” referred to on this page relates entirely to Census population (either Enumerated orUsual Residence). For the current official population estimates (ERP) please refer to the “Population estimates” page.

‘Eligible voters’ includes all Australian citizens over the age of 18 on Census day.

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‘Overseas Visitors’ includes all people whose usual residence is outside Australia, and who plan to be in Australia forless than 12 months. They are normally excluded from all tables within profile.id but are included separately here for

reference. This item relates only to enumerated population, as by definition there are no usual residents who are

overseas visitors.

‘Total dwellings’ includes both private and nonprivate dwellings. All dwellings data are based on place ofenumeration.

'Average household size’ consists of the number of persons counted in private dwellings divided by the number ofoccupied private dwellings on Census night. For consistency with earlier years, 2011 figures for Average Household

Size include overseas visitors where they are staying in private dwellings. This is expected to have negligible effect on

the total, and it enables comparison between all years back to 1991.

‘Aboriginal and Torres Strait Islander population’ includes all persons who answered question 7 on the Census form“Is the person of Aboriginal or Torres Strait Islander origin?” with either “Yes, Aboriginal”, “Yes, Torres Strait Islander”or both. It is not derived from the “Australian Aboriginal” response to the Ancestry question, and this population canhave any birthplace.

‘Australian born' includes ‘Australia (includes external territories), nfd’ – This is due to a coding error by the ABSwhereby the Australian-born population of prisons in Western Australia were incorrectly included in this category. It

has no impact for areas outside WA or which are in WA but don’t have a prison population.

‘Speaks a language other than English at home’ includes all persons who identified a language other than English astheir main language spoken at home, but doesn’t include those with language not stated.

Service age groups


'What is the person's date of birth (or age last birthday)?'

Groups the population by age into categories which reflect a similar life stage or service user profiles.

Includes all persons except 'Overseas Visitors'.

0-4 Babies and pre-schoolers

5-11 Primary Schoolers

12-17 Secondary Schoolers

18-24 Tertiary education and transition to independence

25-34 Young workforce

35-49 Parents and homebuilders

50-59 Older workforce and emerging empty nesters

60-69 Empty nesters and retirees

70-84 Seniors

85+ Frail aged

If an answer to the Age question is not provided, the Australian Bureau of Statistics imputes the age of the

respondent, so there is no "Not stated" category for this variable.

For more information on the data quality of Age, please refer to the Age data quality statement on the ABS website.




Five year age groups provide equal age cohorts enabling direct comparison between all ages without distortion.





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Single year of age



Presents single year of age data in an age-sex pyramid


Enables the identification of small groups and small changes in age structure over time as well as comparison by

gender. Males appear on the left of the chart, and females presented to the same scale appear on the right of the

chart.




Ancestry


'What is the person's ancestry?'

Ancestry data are coded using the Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG).

Includes all persons.

There is an element of subjectivity to ancestry, which is not present in birthplace or language data. Ancestry can

represent a person's understanding of their own affiliations, rather than any objective measure of genealogy.

'Other Oceanian' includes Solomon Islander, Ni-Vanuatu, New Caledonian, I-Kiribati, Nauruan and others

'Other Polynesian' includes Hawaiian, Niuean, Tahitian, Tuvaluan and Tokelauan.

'Other British' includes British, nfd, Manx, Channel Islander

'Other North-Western European' includes Flemish, Frisian, Northern European nfd, Icelandic and others

Other Southern/South East European' includes Basque, Roma/Gypsy, Montenegrin, Moldovan and others

'Other Eastern European' includes Belarusan, Eastern European nfd and others

'Other Arab peoples' includes Algerian, Kuwaiti, Libyan, Moroccan, Tunisian and others

'Sudanese' includes Sudanese, South Sudanese, Dinka, Nuer, Darfurian and others.

'Other Middle eastern peoples' includes Coptic, Mandaean and Berber.

'Other South East Asian' includes Balinese, Javanese, Sundanese and others.

'Other Northern Asian' includes Mongolian and Tibetan.

'Other Indian subcontinent' includes Burgher, Gujarati, Malayali, Bhutanese, Sikh, and others.

'Tamil' includes Tamil, nfd, Sri Lankan Tamil, Indian Tamil.

'Other Central Asian' includes Georgian, Kazakh, Pathan, Uzbek, Hazara and others.

'American' includes American and African American

'Other North American' includes Hispanic, Bermudan and others.

'Other South American' includes Bolivian, Ecuadorian, Guyanese, Venezuelan and Paraguayan.

'Other Central American' includes Nicaraguan, Costa Rican and others.

'Caribbean Islander' includes Jamaican, Cuban, Trinidadian and others.

'Central and West African' includes Ghanian, Nigerian, Liberian, Sierra Leonian, Senegalese, Congolese and others.

'Other Southern and East African' includes Kenyan, Oromo, Tanzanian, Ugandan, Zambian and others.

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'Inadequately Described' includes 'African, so described', 'Asian, so described' and 'European, so described'.

Please note the following issues with specific ancestry groups:

'Cypriot' was not collected in 2001. For the 2001 series Cypriot is included in 'Other Southern/Eastern European'

which makes this category not directly comparable between 2001 and later years.

'Burmese peoples' includes Burmese, Anglo-Burmese, Mon, Karen and Chin. Karen was not separately identified in

2001 and Chin was not in 2006. These are two significant emerging groups in Australia, but have been combined into

'Burmese peoples' to enable comparisons with earlier years.

'Serbian/Yugoslavian' includes "Serbian" and "South Eastern European, nfd", which contains primarily people who in

2011 stated their ancestry as "Yugoslavian". Previously these were coded to "Serbian", so the categories have been

combined for comparability in 2011.

'Bengali/Bangladeshi' includes 'Bengali' and the new 2011 category 'Bangladeshi'. People who responded

'Bangladeshi' in 2006 were coded to 'Bengali' so the two categories have been combined for comparability in 2011.

'Sri Lankan/Sinhalese' includes 'Sri Lankan' and 'Sinhalese'. Sri Lankan ancestry is a new category for 2011, which

was previously combined with Sinhalese so these two categories have been combined to make the category

comparable over time.

Respondents can nominate up to two ancestries, and data are presented as multi-response. The numbers are a

count of individual responses, but the percentages are expressed as a proportion of all people, meaning individuals

can be counted twice in the table and percentages can add to more than 100%.

IMPORTANT NOTE ABOUT COUNTING RESPONSES

Please note that the 'Other ancestry' category in the table is not entirely a count of responses, nor entirely a count of

persons. A total of 125 ancestry groupings were ordered from the ABS, covering most of the major ancestries

included in the population. For the 'Other' categories mentioned above, if a respondent nominated two ancestries

which both fall into the same 'other' category, they are only counted once in this table. However if they nominated

ancestries which fell into two different categories in this table, they are counted twice. This includes ancestries which

have had to be combined in 2011 for time series comparability, such as Sudanese.

For example if a person nominated two ancestries, 'Nuer' and 'Darfurian', these would be counted in the table as a

single response in the category 'Sudanese'. However if the person had nominated 'Nuer' and 'Morroccan', they would

be counted as two responses in the table, once in 'Sudanese' and once in 'Other Arab Peoples'. Though the number

of potential combinations which have this issue is large, they mostly represent unlikely combinations of ancestries,

and for the most part, ancestries have been included in 'Other' categories due to their very low number of responses

anyway. For this reason, the issue is likely to have a negligible effect on the data. In 2006, only about 20% of the

population nominated more than one ancestry.

For more information about this topic, please refer to the ABS data quality statement on Ancestry.

Birthplace


'In which country was the person born?'

Country of Birth is classified using the Standard Australian Classification of Countries (2011) (ABS Cat. No. 1269.0)


The top 10 countries of birth for the selected area are shown in this table. The table is generated from a list of 125

birthplace which make up 99.2% of the overseas-born population of Australia. These birthplaces have been defined

to enable direct comparison over time back to 1991, with the exceptions listed below. It is possible that a country of

birth from outside this top 125 would feature in the top 10 list if it was separately included, but at present these are

only shown in the 'Total Overseas Born' category. All 125 countries of birth are available in the Download Data

section on this site. The full list of approximately 300 countries of birth is available on request from .id.

'United Kingdom' includes England, Scotland, Wales, Northern Ireland, Channel Islands, Isle of Man, and 'United

Kingdom not further defined'.

'Serbia/Montenegro (fmr Republic of Yugoslavia)' includes Serbia and Montenegro, as well as 'South Eastern Europe

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nfd' in 2011 and 2006. Those people categorised to South Eastern Europe were primarily those who stated their

birthplace as Yugoslavia, which did not exist as a nation in 2006. In 2001 it includes all people who listed their

birthplace as Yugoslavia, while it is not available for 1996 and 1991 due to considerable changes to national

boundaries in this region.

'China' excludes Taiwan, Macau and Hong Kong.

'Sudan' includes South Sudan. South Sudan is a new country which declared independence in 2011 and was

recorded in the 2011 Census. For comparison with earlier Census years, data has been recombined for 2011

standard output.

'Bhutan' was available as a country of birth in 2006 and earlier years but has not been included in the profile for

these years due to very small numbers in Australia. In 2006, there were only 137 people from Bhutan in Australia. It is

included in 2011.

'Main English speaking countries' includes Canada, Ireland, New Zealand, South Africa, the United Kingdom, and the

United States of America.

'Non-English speaking backgrounds' refers to persons born in countries not included in 'Main English speaking

countries'.

For more information on this topic please refer to the ABS data quality statement on Country of Birth.

'Not Stated' includes 'Inadequately Described' and 'At sea'.



'In what year did the person first arrive in Australia to live here for one year or more?'

Includes persons born overseas who intend to be in Australia for at least one year.

Excludes people born in Australia and those who did not state a country of birth.

The data are displayed in 5 year groupings based on intercensal periods.

For more information on this topic, please see the ABS data quality statement for Year of Arrival.



'How well does the person speak English?'

English proficiency aims to measure the ability of persons who speak English as a Second Language to also speak

English.

Includes all persons who speak a language other than English at home.

Excludes people who speak English at home.

When viewed with other ethnic and cultural indicators, the data tends to reflect the ethnic composition of the

population and the number of years of residence in Australia.

In general, an area with a high proportion of migrants who have lived in Australia for many years, and/or have higher

education levels, will have a higher proportion of those who speak English well or very well. Conversely, an area with

many recent non-English speaking migrants, from lower socio-economic backgrounds (particularly refugees) will often

have a higher proportion of those who speak English not well or not at all.

Note: A person's English proficiency is based on a subjective assessment and should therefore be treated with

caution.

Responses to the question on Proficiency in English in the Census are subjective. For example, one respondent may

consider that a response of 'Well' is appropriate if they can communicate well enough to do the shopping, while

another respondent may consider such a response appropriate only for people who can hold a social conversation.

Proficiency in English should be considered as an indicator of a person's ability to speak English and not a definitive

measure of this ability.

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For more information on proficiency in English, please refer to the Proficiency in English data quality statement on the

ABS website.



'Does the person speak a language other than English at home?'

Language spoken at home is coded using the Australian Standard Classification of Languages, 2011 (ABS Cat. No.

1267.0)

Language spoken at home is designed to measure 'first' or 'native' language, though some migrants who have been

in Australia for many years may speak English at home is recorded.


Excludes multi-lingual populations. E.g. If I speak English and French, but mainly speak English at home, the fact that

I speak French is not captured.

The top 10 languages are shown provided they have more than 20 speakers. These top 10 are sorted from a list of

100 languages which combined make up 98.5% of the non-English speaking population of Australia in 2011. The full

list of over 500 languages is available on request from .id.

'Not stated' includes the category 'Inadequately described'.

Some languages are not available for earlier Census years. Issues are as follows:

'Tagalog' includes Filipino, which was recorded as a separate language from Tagalog in the 2006 and 2011

Censuses, but no such distinction was made in earlier Censuses. Filipino is a standardised version of Tagalog,

incorporating words from other indigenous languages within the Philippines.

'Persian' includes Dari, which was recorded as a separate language from Persian in the 2006 and 2011 Censuses,

but no distinction was made in earlier Censuses. Dari is a localised name for Persian in Afghanistan.

'Min Nan' was recorded in 2011 to represent the languages previously recorded as Hokkien and Teochew, correctly

classifying these as a single language. For comparability, Hokkien and Teochew have been combined in earlier

Censuses.

'Assyrian/Aramaic' includes Assyrian, Chaldean and Aramaic languages.

'African Languages, nec' is no longer available due to the separation of many African languages into their own

categories. These separated African languages are not available in time series.

Please note that due to substantial changes in the language classification between 1991 and 1996, it is not possible

to provide data on the full list of languages in 1991. The classification is non-comparable, so when 1991 is selected,

only “Speaks English only” and “NonEnglish total” are provided.

Religion


'What is the person's religion?'

Religion is coded using the Australian Standard Classification of Religious Groups (ASCRG), 2011.

The religion question in the Census is an optional question and so has a relatively high rate of 'Not Stated'

responses.


The classification for Religion has changed significantly over the last 20 years. To make it possible to compare

religious affiliation over time the full list of 140 religions has been aggregated into 46 categories. The top 10 religious

groups for Gold Coast City are presented from the aggregated list. All 46 categories are available in Download Data

on this site and the full list of 140 religions collected in the Census is available from .id on request.

'Other Eastern Catholic' includes Melkite, Ukrainian and Chaldean.

'Other Oriental Orthodox' includes Syrian and Ethiopian Orthodox churches.

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'Assyrian Apostolic' includes the Assyrian and Ancient Churches of the East.

'Other Eastern Orthodox' includes Antiochian, Romanian, Ukrainian Orthodox.

'Other Protestant includes Born Again Christian, Congregational, Evangelical Churches, Wesleyan Methodist Church

and others.

'Other Christian' includes Ratana (Maori), Quakers, Christian Science, Gnostic Christians, New Apostolic Church and

Temple Society.

'Christian, not further described' includes written responses of 'Christian'(no denomination specified), Apostolic

Church, Church of God.

'Other Nature Religions' includes Animism, Druidism, Pantheism.

'Chinese and Japanese Religions' includes Confucianism, Taoism, Shinto and Ancestor Veneration.

'Other Non-Christian Religions' includes Scientology, Rastafarianism, Jaianism, Theosophy, Satanism and

Zoroastrianism.

'Non Classifiable Religious Belief' includes Theism, 'Not Defined', and other responses including Jedi.

'No Religion' includes 'No Religion (not further described)', Atheism, Humanism, Rationalism and Agnosticism.



'What is the level of the highest qualification the person has completed?'

This topic includes all persons aged 15 years and over. It relates to the level of the highest qualification achieved

excluding school-based qualifications, as of Census day.

Qualification levels are presented in descending order (of educational and time requirements), with Postgraduate

Degrees being the highest, and “No qualification” the lowest. To be included, qualifications must be within scope ofthe question – that is, recognised by or equivalent to a qualification by an Australian university or tertiary institution.

‘Vocational’ includes all Certificate level qualifications, usually associated with trades. Note that it is not alwaysnecessary to have completed year 12 to obtain a Certificate level qualification, so the total of those with non-school

qualifications should not be taken as the number of people who have completed year 12. This is contained within the

“Highest level of schooling” topic.

For more information please refer to the data quality statement for Highest Level of Schooling on the ABS website.

Highest secondary school year completed


'What is the highest year of primary or secondary school the person has completed?'

Only 2006 and 2011 data are available for this topic, due to a change in the scope and wording of the question

between 2001 and 2006 which makes earlier data non-comparable.

Includes persons aged 15 years and over.

'Schooling' refers to primary and secondary schooling only, regardless of post-school qualifications achieved.

For those respondents still at school, they are asked to mark their highest level of schooling completed to the

previous year.

Where respondents went to school overseas, they are advised to mark the box that most closely matches the school

level they achieved in their country of origin.

For more information about this topic, please refer to the data quality statement for Highest Year of School Completed

on the ABS website.


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'What type of educational institution is the person attending?'

Includes all persons

'Independent' refers to private and other non-Government schools. 'Catholic' refers to infant, primary and secondary

schools run independently by the Catholic Church.

'TAFE' refers to Technical and Further Education institutions.

'Tertiary education' is usually taken to mean University and TAFE education.

'Not Attending' indicates that question 25 was not applicable because the person answered 'No' to question 24, which

asks whether the person was attending an educational institution.

'Not stated' indicates that the person either did not state whether or not they were a student, or did not state what

institution they were attending (or both).

Results for this question are closely linked to the age structure of the population e.g. areas with large numbers of

children will have high levels of school attendance.

For more information about this topic, please refer to the data quality statement for Type of Educational Institution

Attending on the ABS website.

Need for assistance

Derived from the Census questions:

'Does the person ever need someone to help with, or be with them for, self care activities?', 'Does the person ever

need someone to help with, or be with them for, body movement activities?', 'Does the person ever need someone to

help with, or be with them for, communication activities?', and 'What are the reasons for the need for assistance or

supervision shown in questions 20, 21 and 22?' (as per above).

This data identifies people who report a need for assistance due to a 'profound or severe core activity limitation'. This

population is defined as people who need assistance in their day to day lives with any or all of the following activities –selfcare, body movements or communication – because of a disability, longterm health condition, or old age.

This question relies on people evaluating themselves, (or their carers), as being in need of assistance. Consequently

this question provides an indication of the characteristics of people who report, or are reported as requiring, a need

for assistance; but cannot be relied upon to provide details as to the total number of people with a 'profound or

severe core activity limitation'.

Persons under the age of 40 whose only stated reason for need for assistance was ‘old or young age’ are includedunder ‘no need for assistance’.

This should not be viewed as the total population with a disability, as many people with a disability do not require

assistance, and would therefore likely answer "no" to this question. For more information on types and levels of

disability (including those not requiring assistance) please refer to the ABS publication 4430.0, Survey of Disability,

Ageing and Carers.

Excludes 'Overseas Visitors'.

Industry

Derived from the two Census questions:

'What best describes the business of your employer?' and 'What are the main goods produced or main services

provided by your employers business?'

This topic describes the industries in which employed people work.

It applies only to persons aged 15 years and over, who were employed in the week prior to Census.

Only 2006 and 2011 data are available for this topic as industry categories changed in 2006 so earlier Census years

are not comparable.

Includes the broadest 1-digit classification of industries. More detailed industry breakdowns are available in

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economy.id and directly from the ABS.

Data for industry are coded using the Australia and New Zealand Standard Industrial Classification 2006 (ANZSIC06).

This classification looks at the main economic outputs of an business or organisation to classify it into a broad

industry grouping. More information on how this is done is included in the classification.

The industry classification is updated periodically to take account of emerging industries and changes in the structure

of the economy. The ANZSIC classification was last updated in 2006.

For more information on this topic please refer to the data quality statement for Industry of Employment on the ABS

website.

Occupations


'In the main job held last week, what was the person's occupation?' and 'What are the main tasks that the person

himself/herself usually performs in that occupation?'

This topic describes the occupations of employed people who were employed in the week prior to the Census.

It includes only persons aged 15 years and over who were employed in the week prior to Census.

Only 2006 and 2011 data are available for this topic as occupation categories changed in 2006 so earlier Census

years are not comparable.

Includes the broadest 1-digit classification of occupations. More detailed occupation breakdowns are available in

economy.id or directly from the ABS.

Data for occupation are coded using the Australian and New Zealand Standard Classification of Occupations

(ANZSCO) . The occupation classification categorises occupations broadly based on skill level and educational

qualifications required.

The occupation classification is updated periodically to take account of emerging occupation groups and changes to

the structure of the labour force. The most recent change was in 2006.

Please note that it is not possible to derive an unemployment rate for a specific occupation (eg. how many

unemployed truck drivers are there?). This is because occupation is only collected for those who are actually

employed. An unemployed person by definition does not have an occupation.

For more information on this topic please refer to the data quality statement for Occupation on the ABS website.



'How did the person get to work on Tuesday, 9 August 2011?'

Method of travel to work relates specifically to the journey to work on the morning of Census day (or later that day

for shift workers).

This topic includes only to people aged 15 and over who were employed in the week prior to Census.

Respondents can nominate up to three modes of travel. Because this results in 234 discrete categories based on

combinations of 1,2 or 3 modes, this is an unwieldy dataset. For the purposes of profile.id, we have aggregated them

into single methods, where certain methods override others. Aggregations are as follows:

'Train' includes any journey involving a train, whether or not other methods were used.

'Bus' includes any journey involving a bus, except for those also involving a train.

‘Tram or Ferry’ includes any journey involving a tram or ferry, except for those involving bus or train. 'Tram' includeslight rail. In the 1996 and 1991 Census years, Tram and Ferry were combined as one item, so it is necessary to

recombine them in later years in profile.id for reasons of comparability over time.

'Other' refers to any method not listed in the standard categories, plus any combination of two or three methods NOT

involving a bus, train, tram or ferry.

The remaining categories refer to a single method of travel (e.g. 'Car as driver' when no other method was used).

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'Walked only', 'Worked at home' and 'Did not go to work' are exclusive and never presented in combination with other

methods. Where multiple responses are provided on the Census form, which include one of these, these methods

override the others.

Further breakdowns of combinations of method of travel to work are available on request from .id for our Local

Government Clients, or from the ABS.

For more information please refer to the data quality statement for Method of Travel to Work (MTWP) on the ABS

website.

Voluntary work


'In the last twelve months did the person spend any time doing voluntary work through an organisation or group?'

Only 2006 and 2011 data are available for this topic as the question was only asked for the first time in 2006.


Includes voluntary work undertaken in the 12 months prior to the Census.

Includes help willingly given in the form of time, service or skills, to a club, organisation or association including:

assisting at events and with sports organisations

helping with school events and activities

assisting in churches, hospitals, nursing homes and charities

other kinds of volunteer work (e.g. emergency services)

Excludes unpaid work done through a club, organisation or association mainly in order to qualify for government

benefits such as Newstart Allowance.

Excludes any activity which is part of a person's paid employment or family business.

For more information about this topic, please refer to the data quality statement for Voluntary Work on the ABS

website.



'In the last week did the person spend time doing unpaid domestic work for their household?'



Includes domestic work undertaken in the week prior to Census night.

Includes all the domestic work a person does without pay in their own home and in other places, for themselves, their

family and other people in their household including:

meal preparation, service and clean-up

washing, ironing and managing clothes

other housework

gardening, mowing and yard work

home maintenance

car and bike maintenance

household shopping and managing household financial affairs

Excludes any household work performed as part of a paid job.

For more information about this topic, please refer to the data quality statement for Domestic Work on the ABS

website.

Unpaid care

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'In the last two weeks did the person spend time providing unpaid care, help or assistance to family members or

others because of a disability, a long term illness or problems related to old age?'.



Includes care given in the two weeks prior to the Census.

Includes unpaid help given to a person with a disability, a long term illness or problems related to old age to assist

them with their daily activities. It can include assistance with:

bathing, dressing, toileting and feeding

mobility

understanding or being understood by others

emotional support

medication

dressing wounds

food

housework

driving

For more information about this topic, please refer to the data quality statement for Unpaid Assistance on the ABS

website.

Unpaid childcare


'In the last two weeks did the person spend time looking after a child, without pay?', which specifically asks

respondents to differentiate between caring for their own children and caring for others children.



Includes the time a person spends caring for a child or children under the age of 15 without being paid, in the two

weeks prior to Census.

Excludes caring for children in a paid capacity (e.g. at a child care centre.

'Cared for own child/ren' includes people caring for their own children, whether they usually live with them or not.

'Cared for other child/ren' can include people looking after their own grandchildren or the children of other relatives or

the children of friends or neighbours, or involved in unpaid family day care.

For more information about this topic, please refer to the data quality statement for Unpaid Child Care on the ABS

website.

Individual income


'What is the total of all wages/salaries, government benefits, pensions, allowances and other income the person

usually receives?'

Individual income data presents the total gross income (including pensions and allowances) that a person usually

receives each week.


Only 2011 data are presented for this topic as income ranges are altered every five years to adjust for inflation and

wages growth so comparison over time is not possible.


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usually receives?'

See notes for Individual income as well.

Individual income categories are not comparable over time because of the influences of economic change such as

inflation. Income quartiles are the most objective method of comparing change in the income profile of a community

over time.

Individual income quartiles look at the distribution of incomes in the area of interest relative to Queensland. Income

quartiles are created for Queensland by ranking individuals from the lowest incomes to the highest incomes and then

dividing the list into four equal groups or quartiles. This is repeated for each Census period. The table shows the

income categories for each quartile in each Census period.

For the purposes of calculating quartiles, individuals not stating their income in the Census are excluded.

The analysis shows the number and proportion of individuals in Gold Coast City falling into each of the four quartiles.

This gives a clear picture of how incomes in Gold Coast City compare to Queensland. In Queensland 25% of persons

fall into each category by definition. If, for example, the Gold Coast City has 35% in the top category and only 15% in

the lowest, this indicates that the Gold Coast City has proportionally more high income individuals and less low

income individuals.

More importantly, the dataset for Queensland is grouped into those four equal categories for each Census back to

1991 independently. Repeating this process for each Census period, enables a comparison of areas over time,

because the quartile becomes a constant, regardless of the dollar amounts involved enabling you to track change in

a local area independent of inflation. For example, if Gold Coast City has had an increase in the number of individuals

in the top income quartile, this indicates that incomes are increasing in real terms, relative to other parts of the State.

Household income



usually receives?'

Household income data presents the total weekly incomes of all persons over the age of 15 in the household.

Excludes 'Other non-classifiable households'.



For income in time series, please see Household Income Quartiles.

'Partial income not stated' includes households where at least one, but not all, member(s) aged 15 years and over did

not state an income and/or at least one household member aged 15 years and over was temporarily absent. In these

cases, the aggregate of all stated individual incomes would be less than the true household income so these

households are excluded from the calculation.

'All incomes not stated' includes households where no members present stated an income, and these are also

excluded.

Enumerated quartile group dollar ranges (Individuals)


Individual quartile ranges 2011 2006 2001 1996 1991


Medium lowest $282 to $584 $222 to $474 $183 to $359 $149 to $285 $124 to $252

Medium highest $585 to $1,075 $475 to $850 $360 to $640 $286 to $524 $253 to $451

Highest group $1,076 and over $851 and over $641 and over $525 and over $452 and over

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As individual income is collected in ranges, in order to calculate household income, a dollar value has to be imputed

by the ABS to each range, then the individual incomes are aggregated, and output into ranges again. There is an

inherent uncertainty in this process, so household incomes should only be treated as a guide to the income level in

an area, not an exact calculation. For more information on income imputation, please see the ABS Fact Sheet –Income in the Census.

For more information on this topic, please see the ABS data quality statement on Total Household Income (HIND).




usually receives?'

See notes for Household incomes as well.

Household income categories are not comparable over time because of the influences of economic change such as


over time.

Household income quartiles look at the distribution of incomes in the area of interest relative to Queensland. Income

quartiles are created for Queensland by ranking households from the lowest incomes to the highest incomes and

then dividing the list into four equal groups or quartiles. This is repeated for each Census period. The table shows the


For the purposes of calculating quartiles, households not stating their income in the Census are excluded.

The analysis shows the number and proportion of households in Gold Coast City falling into each of the four

quartiles. This gives a clear picture of how incomes in Gold Coast City compare to Queensland. In Queensland 25%

of households fall into each category by definition. If for example, Gold Coast City has 35% in the top category and

only 15% in the lowest, this indicates that Gold Coast City has proportionally more high income households and less

low income households.




a local area independent of inflation. For example, if Gold Coast City has had an increase in the number of

households in the top income quartile, this indicates that incomes are increasing in real terms, relative to other parts

of the State.




usually receives?'

Equivalised household income can be viewed as an indicator of the economic resources available to a standardised

household.

For a lone person household equivalised income is equal to household income. For a household comprising more








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than one person, it is an indicator of the household income that would be needed by a lone person household to

enjoy the same level of economic wellbeing.

As an example, consider the case of a family of two adults, and three children aged 8, 13 and 16. If they have a

household income of $2,000 per week, it is clearly not reasonable to compare their income to that of a lone person

household with an income of $2,000 per week who would have far less living expenses. However it is also not

reasonable to simply divide the income by the five people in the household, as there are economies of scale in larger

households.

This is why equivalised household income divides the household income by an equivalence factor, according to the

'modified OECD' equivalence scale. This factor is derived by adding the following:

First Adult + 1

Second and subsequent adults, and children over 15 +0.5

Children under 15 + 0.3

So our family of 5 would have an equivalence factor of 2.6 (1 for the first adult, 2 additional adults at 0.5, and 2

children under 15 at 0.3). Income is divided by this to arrive at the equivalised household income, which in this case

would be $769. This is the income a lone person would need to have to be equivalent in living standards to this family

of five.

Because it is only RELATIVE equivalised income that matters, rather than the actual dollar amount, only income

quartiles are presented on this page. For details of how quartiles are calculated and used, please see the data notes

for Household income quartiles.

For more information about the calculation of Equivalised Household Income, please see the ABS data quality

statement.

Households summary


'What is the person's relationship [to each other person in the household]?'

Describes the type of family and non-family households within a dwelling.

Includes all households within occupied private dwellings.

Excludes persons counted in non-private dwellings

'A household' is a group of people living in a private dwelling making shared provision for meals.

'A family' is a group of people living in a private dwelling who are related by blood or marriage (including de-facto

marriage and same-sex couples).

Households may contain up to three families each with a different family composition. Family households in this table

are classified into broad family type by the family composition of the primary family only. This significantly simplifies

the reading of the table. Multiple family households make up a very small proportion of all households (less than 2%

nationwide) so this simplification is expected to have negligible effect on the output.

Household data are based on place of enumeration only – people recorded as being temporarily absent fromhouseholds are included for the purposes of assessing household composition, but where the entire household was

away on Census night, residents are not moved back into households by the usual resident process (unoccupied

dwellings remain unoccupied).

'Other families' includes any household of related individuals where a parent-child or couple relationship does not

exist (e.g. siblings, uncle/nephew, grandparent-grandchild).

'Group household' includes any household consisting of two or more unrelated individuals.

'Visitor only households' includes all households where there were no usual residents of the dwelling present (i.e. all

persons in the household were resident elsewhere). An example of this would be a family staying in a holiday

apartment. No family information is recorded in this case.

'Other not classifiable' households consist mainly of dwellings which the Census Collector believes were occupied on

Census night but from which no form was returned. A small proportion of households in this category are those where

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only children aged under 15 were present on Census night (no adults).

Same sex couple families are included in this table but not separately identified.

For more information on household and family type, please refer to the data quality statements for Household

Composition and Family Composition on the ABS website.




Presents a subset of household/family type data, based on those households who have children.

Includes households, by the family type of the primary family in the dwelling. Where there is more than one family in a

household, the type of family is coded by the "primary family", which is normally the first family recorded on the

Census form.

Excludes 'Overseas visitors', but people temporarily absent from households are included in the Census when

assessing the household type (e.g. a couple family with an absent partner is still recorded as a couple family if the

partner's details are recorded in the "persons temporarily absent" field).

'Children' include either children under 15 (dependent by definition), dependent students aged 15-24, or independent

children who are either non-students aged 15-24, or anyone over the age of 25. To be counted in this table, a

parent-child relationship must exist in the household.

Couples and single parent families are broken into three 'life stages' based entirely on the age of the children. The

age of parents is not a factor in this classification:

'Young children' includes households where all children are aged under 15.

'Mixed age children' includes households where there are children (two or more) both aged under 15, and 15 or over.

'Older children' includes households where all children are aged 15 or over. This can include adult-non dependent

children.

Note that to be included in the 'Mixed age children' category a household MUST have more than one child present. A

household with one child would move directly from the 'Young children' to the 'Older children' category under this

classification.

For more general information about the classification of households in profile.id®, please see the data notes for theHousehold Summary table.






Presents a subset of household/family type data, based on couple and lone person households without children.

Includes same-sex couples.

Couples and lone persons are broken into three 'life stages' based on the age of the household reference person.

The household reference person is normally 'Person 1' on the Census form, and relationships in the household are

defined by reference to this person. Where a child or visitor to the household is listed as person 1, the ABS allocates

a different individual on the form to be the household reference person. In the case of a lone person household, the

lone person is the household reference person. In the case of a couple it may be either adult. It is no indication of

household headship.

'Young' includes households where the household reference person is aged 15-44.

'Middle-aged' includes households where the household reference person is aged 45-64.

'Older' includes households where the household reference person is aged 65+

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For more general information about the classification of households in profile.id®, please see the data notes for the'Household Summary' table.



Household size

Derived from the three Census questions:

'Name of each person including visitors who spent the night of Tuesday, 9 August 2011 in this dwelling', and 'Where

does the person usually live?', and 'Are there any persons who usually live in this dwelling who were absent on

Census Night (Tuesday, 9 August 2011)?'

Counts households by the number of persons usually resident on Census night.

Includes occupied private dwellings with at least one resident home on Census night.

Includes people who were at home on Census night, and up to three people listed as being temporarily absent from

the dwelling.

Excludes people who were in the dwelling but not usually resident there (i.e.visitors).

Excludes households where the entire household was absent on Census night - the dwelling is either unoccupied or

has visitors only.

For more information on this topic please see the ABS data quality statement on Number of Persons Usually

Resident.

Dwelling type

Derived from the Census:

'Dwelling Type is derived from an assessment by the Census Collector who observes and records the type of dwelling

structure.'

Categorises the type and structure of dwellings.

Includes all private dwellings.

This is the only Census output which is classified by the Census collector on visiting the household, not by the

respondent to the Census.

The categories used by the ABS are subject to systematic misinterpretation by Census collectors, particularly in

determining the difference between semi-detached/townhouses and blocks of flats in 1-2 storey blocks. For this

reason, to maintain consistency over time, the categories used here combine these two categories as 'medium

density'. This creates a better measure of actual change over time in an area. We have applied the term 'density'

here to the structure of the dwelling and not the number of dwellings per hectare.

'Separate house' includes all free-standing dwellings separated from neighbouring dwellings by a gap of at least half

a metre.

'Medium density' includes all semi-detached, row, terrace, townhouses and villa units, plus flats and apartments in

blocks of 1 or 2 storeys, and flats attached to houses.

'High density' includes flats and apartments in 3 storey and larger blocks.

'Caravans, cabins, houseboats' includes all such mobile accommodation, both inside and outside caravan parks

(including caravans in private backyards.

'Other' includes houses and flats attached to shops or offices, and improvised homes, tents and sleepers out on

Census night.

'Unoccupied dwellings' are shown in a separate table. An unoccupied dwelling is a dwelling where the Census

Collector determined that it was vacant on Census night. Where a collector cannot determine this, the dwelling is

usually treated as occupied. Dwellings may be unoccupied for a variety of reasons including:

Residents away temporarily.

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Dwelling vacant or for sale.

Dwelling derelict.

Dwelling used as a holiday home and currently not being used.

'Non-private dwellings' are dwellings which provide a communal form of accommodation such as Hotels, Motels,

Nursing Homes, Hospitals, Army Barracks, Staff Quarters, Boarding Houses, Homeless shelters, Youth hostels and

Ski Lodges.

At approximately 0.1% he non-response rate for this variable is very low, because it is answered by the collector and

imputed by the Data Processing Centre from surrounding dwellings and other information where the collector has not

stated it.

Please note that in previous versions of profile.id the breakdown of dwelling structure related only to occupied

dwellings. This has now been extended to all private dwellings, including unoccupied ones, with data consistent back

to 1991.

For more information on this topic, please see the ABS data quality statements on Dwelling Structure and Dwelling

Type.

Number of bedrooms


'How many bedrooms are there in this dwelling?'

Counts the number of rooms used as bedrooms in occupied private dwellings.

Includes occupied private dwellings.

Excludes unoccupied private dwellings because the number of bedrooms is recorded by the householder.

Excludes non-private dwellings.

'None (includes bedsits)' includes bedsits and studios where the living area is also a bedroom.

For more information on this topic please see the ABS data quality statement on Number of Bedrooms.



'Can the Internet be accessed at this dwelling?'

Presents information about the type of Internet connection available in private occupied dwellings.

Only 2006 and 2011 data are available for this topic as the question was asked in this way for the first time in 2006

replacing the questions in the 2001 Census relating to internet use and computer use.

Relates to the dwelling, not individuals – no information is collected on whether individuals use the internet, onlywhether the internet can be accessed at the dwelling.

'Broadband connection' includes ADSL, Cable, Wireless and Satellite connection.

'Dial-up connection' includes analog modem and ISDN connections.

'Other' includes Internet access through mobile phones, set-top boxes, games machines or connections other than

dial-up or broadband.

Time series information for Australia shows that dial-up access has fallen to less than 2% of households, and been

overtaken by the 'Other' category. It is likely that the 'Other' category mainly consists of households accessing the

internet through their mobile phones.

For more information on this topic, please see the ABS data quality statement on Type of Internet Connection.

Car ownership


'How many registered motor vehicles owned or used by residents of this dwelling were garaged or parked at or near

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this dwelling on the night of Tuesday, 9 August 2011?'

Counts the number of registered motor vehicles owned or used by household members, garaged, parked at or near

private dwellings on Census night.

Includes households in occupied private dwellings

Includes company owned vehicles

Excludes motorbikes, scooters tractors and push bikes.

Vehicles must be registered and driveable to be counted.

For more information on this topic, please see the ABS data quality statement for Number of Motor Vehicles.

Housing tenure


'Is this dwelling [owned outright, owned with a mortgage etc.]', and 'If this dwelling is being rented, who is it rented

from?'

Presents the tenure type of occupied private dwellings, and for those dwellings being rented, provides a breakdown

of the type of landlord the dwelling is being rented from.


'Fully owned' includes dwellings that are owned by its occupants in full, with no mortgage.

'Being purchased' includes all dwellings being paid off with a mortgage, as well as dwellings being purchased under a

rent/buy scheme.

'Renting – social housing' includes households renting from a State/Territory Government housing authority(generally referred to as public housing) and households renting from a housing co-operative, community

organisation or church group.

'Renting – private' refers to households renting from a real estate agent, a private person or an employer.

'Renting – not stated' refers to households who stated they were renting but did not state their landlord type.

'Other tenure type' includes life tenure schemes, squatting and other forms of occupancy.

Please note that due to a change in wording of the tenure type question between the 2001 and 2006 Censuses, care

should be taken in interpreting change between the 2001 Census and either 2006 or 2011. This break in series

applies only to the 'Fully owned' and 'Being purchased' categories. The new wording of the question resulted in a

higher response to 'Being purchased' (now known on the form as 'Owned with a mortgage', and showing an apparent

increase in this category at the expense of 'Fully owned' between 2001 and 2006.

For more information on this topic please see the ABS data quality statement on Tenure Type.



'How much does your household pay for this dwelling?' and 'Is this dwelling [owned outright, owned with a mortgage

etc.]'

Presents monthly housing loan repayments made by a household to purchase the dwelling in which the household

was counted on Census night.

Includes households (occupied private dwellings) who are purchasing their dwelling with a mortgage or under a

dwelling under a 'rent/buy' scheme.

Includes caravans if they have a mortgage.




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etc.]'

See notes for Housing loan repayments as well.

Housing loan repayment categories are not comparable over time because of the influences of inflation. The quartile

method is the most objective method of comparing change in mortgage payments in an area over time.

Mortgage quartiles look at the distribution of mortgage payments among households paying off their home in Gold

Coast City relative to Queensland. Mortgage quartiles are created for Queensland by ranking all mortgagor

households from the lowest payments to the highest payments and then dividing the list into four equal groups or

quartiles. This is repeated for each Census period. The table shows the payment categories for each quartile in each

Census period.

The analysis shows the number and proportion of mortgagor households in Gold Coast City falling into each of the

four quartiles.

This gives a clear picture of how mortgage payments in Gold Coast City compare to Queensland. In Queensland 25%

of persons fall into each category by definition. If, for example, Gold Coast City has 35% in the bottom category and

only 15% in the highest, this indicates that the Gold Coast City has proportionally more people paying low mortgage

repayments relative to the State, and less high mortgage payments.

More importantly, the dataset for Queensland is grouped into those four equal categories for the 2011, 2006 and

2001 Census independently. Repeating this process for each Census period, enables a comparison of areas over

time, because the quartile becomes a constant, regardless of the dollar amounts involved enabling you to track

change in a local area independent of inflation. For example, if Gold Coast City has had an increase in the proportion

of households in the top mortgage payment quartile, this indicates that perhaps a large cohort of the population have

bought in recently or the area has opened up to first home buyers, or perhaps the price of homes has just increased.




etc.]'

Presents weekly rent paid by for the dwelling in which they were counted on Census night.

Includes households (occupied private dwellings) renting their dwelling or occupying it rent free. Australia-wide 3.7%

of rented dwellings were occupied rent free.

Includes caravans being rented.

Excludes 'Other not classifiable' households as no information about their tenure type is available.

Note: Rent is a better indicator of the value of housing in an area than mortgage repayments, as the rent paid is less

dependent on when the occupants moved in, and there is no equity component which reduces the cost (rent-buy

schemes are included as mortgages, not rent).

For more information on this topic please refer to the ABS data quality statement for Weekly Rental Payments.





Household income ranges 2011 2006 2001 1996





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etc.]'

See data notes for Rental payments as well.

Rental payment categories are not comparable over time because of the influences of inflation. The quartile method

is the most objective method of comparing change in the rental payments of an area over time.

Rental payment quartiles look at the distribution of rents among rented households in Gold Coast City relative to

Queensland. Rental quartiles are created for Queensland by ranking all renting households from the lowest payments

to the highest payments and then dividing the list into four equal groups or quartiles. This is repeated for each

Census period. The table shows the payment categories for each quartile in each Census period.

The analysis shows the number and proportion of renting households in Gold Coast City falling into each of the four

quartiles. This gives a clear picture of how rents in Gold Coast City compare to Queensland. In Queensland 25% of

persons fall into each category by definition. If, for example, Gold Coast City has 35% in the bottom category and only

15% in the highest, this indicates that Gold Coast City has proportionally more people paying low rents relative to the

State, and less high rent payers.

More importantly, the dataset for Queensland is grouped into four equal categories for the 2011, 2006 and 2001

Census independently. Repeating this process for each Census period, enables a comparison of areas over time,



households in the top rent payment quartile, this indicates that perhaps the area is gentrifying with rents increasing

faster than in other parts of the State.

Migration summary


'Where does the person usually live?' and 'Where did the person usually live five years ago (at 9 August 2006)'.

Migration information is collected by the ABS by a series of questions asking where a person usually lived 1 year and

5 years prior to Census day. Only 5-year migration figures are presented here.

The table population is all persons resident in the area on Census night, and it is broken down by their previous

location, within the area, within the same state, interstate, overseas or an unknown area.

The total of residents who moved within the same state includes a small percentage who were coded by the ABS to

the “State undefined” category. There is a possibility that some of these may have been resident in the local area andhave been incorrectly coded, but this is likely to have negligible impact on the overall percentages in each category.

Note that migration between 2006 and 2011 is only applicable for those persons aged 5 years and over on Census

day 2011. Residents who were born in the interim cannot have a usual address 5 years ago. As the percentages are

calculated on the total population, areas with high proportions of 0-4 year olds may have correspondingly lower

percentages in the categories of movement.

Migration to and from











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This table shows the in, out and net migration figures for people (aged 5+) who moved within different geographic

areas.

‘In migration’ relates to people who in 2011 lived within Gold Coast City, but 5 years earlier (in 2006) lived elsewhere(in the area listed in the rows).

‘Out migration’ relates to people who in 2011 lived elsewhere in Australia (in the area listed in the rows), but whostated that in 2006 they lived in Gold Coast City.

‘Net migration’ equals ‘In migration’ minus ‘Out migration’.

The LGA tables are ranked by the areas of largest positive and negative net migration respectively. The state tables

show all states and territories, regardless of the level of migration gain or loss.


the ‘State undefined’ category. There is a possibility that some of these may have been resident in the local area andhave been incorrectly coded. For the purposes of this table, however, all residents in ‘State undefined’ 5 years agowho lived in Gold Coast City in 2011 are counted as movement into the area.

The summary table shows in and out migration within the same state, to other states, and overseas. Please note that

it is not possible to calculate a net migration figure for overseas, as the Census doesn’t count people who areoverseas on Census day. So we only have data on those who moved in from overseas.

Migration by age





The migration by age figures show the number of people who moved in and out of Gold Coast City between 2006 and

2011, by their age group.

The age groups used correspond with the ages shown in the ‘Service Age Groups’ page under ‘What is thepopulation?’. They are used because these age groups correlate highly with life stages when people are likely tomake housing decisions and move (eg. leaving home, starting a family, retirement).

‘In migration’ relates to people who in 2011 lived within Gold Coast City, but 5 years earlier (in 2006) lived elsewherein Australia.



Please note that overseas migration is NOT included in this table, which relates only to migration within Australia. It is

possible to have increasing population even if net migration of all age groups is negative, due to births and overseas

migration.

For more information please refer to the ABS Data Quality Statement for Place of Usual Residence 5 years Ago on

the ABS website.



'For the main job held last week, what was the person's workplace address?'

This dataset is known as Journey to Work, and is derived from Census question 41 – "For the main job held lastweek, what was the person's workplace address?" With residential address also known, Journey to Work comprises a

matrix linking origin (residence) and work destination.

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The data presented here in table form show the Statistical Local Area of residence for employed persons who work

within Gold Coast City. The map shows the spatial distribution of these workers.

Please note that the workforce in a Local Government Area calculated from Census data is generally considered to

be an undercount, due to the number of people whose workplace address was not stated, could not be accurately

coded, or stated a non-permanent workplace address ('no fixed place of work'). These people appear in the

employment data at their residential location but cannot be coded to a work destination.

In 2011, a record number (over 1 million or 10% of employed persons) have been coded to an undefined

work destination which cannot be mapped, and so these are excluded from the working population. For

this reason some LGAs may notice an apparent drop in their Census-based workforce numbers between

2006 and 2011. While only 2011 data are presented here, this is most likely the reason.

If comparing work destination information with Method of Travel to work, please note the differing time periods –Workplace address relates to the week prior to Census, while Method of Travel relates to the morning of Census day.

This has a negligible effect on the total counts but can explain some of the small numbers of strange LGA-LGA

pairings which crop up such as people appearing to travel interstate to work. Some of these may be genuinely Fly-

in/Fly-out workers (likely if the work destination is a known mining area), but others may have moved address in the

differing timeframes assessed by the two questions.

Work location of residents





The data presented here in table form show the Statistical Local Area of work destination for employed persons who

live within Gold Coast City. The map shows the spatial distribution of where these residents work.

Please note that not all employed persons can be accurately coded to a workplace address. In 2011, a record

number (over 1 million or 10% of employed persons) have been coded to an undefined work destination. These

undefined locations are broken down by state, and shown in the table, but they cannot be mapped, as there is no

information on the geographic location of work apart from their state.

For this reason, there may be difficulty comparing 2011 work destination data to 2006, and only 2011 data are

presented here. This very large increase in undefined workplace location is believed to be due to the change to the

new geography standard (ASGS), and the inefficient coding mechanisms used to code to it.






For more information please refer to the data quality statement for Place of Work on the ABS website.

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Welcome to Gold Coast City Community Profile

Gold Coast City is located in south-east Queensland, about 78 kilometres south of Brisbane.

The Gold Coast City Community Profile provides demographic analysis for the City and its suburbs based on results

from the 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with

population estimates when the Australian Bureau of Statistics (ABS) releases new figures.

Important

Statistics

Population

526,173ERP 2012

Land area

137,939hectares (1,379 Km )2

Population density


Gold Coast City


NEWSThat olechestnut –populationageing inQueensland

(23/09/2013)

Is Queensland becoming

a “pensioners” paradise?Learn more about the

age structure and

population of

Queensland Learn more

here..

This community profile is

just one of a family of

demographic resources

available for this area

and other areas across

Australia. The full suite of

resources includes

community profiles,

population forecasts,

social atlases and

economic profiles. You

can be confident using

them for planning,

research and advocacy

as they are compiled and

maintained with the latest

data by population

Legend

Small areas

Gold Coast City

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experts, .id. Access them

online in the

Demographic Resource

Centre.

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2011 Gold Coast City Greater Brisbane Queensland Australia

Median age 3735 36

37

Median weeklyhouseholdincome

$1,174$1,388 $1,235 $1,234

Couples withchildren 28%

32% 30% 31%

Older coupleswithout children 9%

8%

9% 9%

Medium andhigh densityHousing

43%22% 22% 25%

Householdswith amortgage

32%35% 33% 33%

Median weeklyrent $350

$325 $300 $285

Householdsrenting 34%

32% 32% 29%

Non-Englishspeakingbackgrounds

10%13%

9%

16%

Universityattendance 4%

5%

4% 4%

Bachelor orHigher degree 14%

20% 16% 19%

Vocational 21%18% 20% 18%


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http://profile.id.com.au/gold-coast/household-income

http://profile.id.com.au/gold-coast/households-with-children

http://profile.id.com.au/gold-coast/households-without-children

http://profile.id.com.au/gold-coast/dwellings

http://profile.id.com.au/gold-coast/housing-loan

http://profile.id.com.au/gold-coasthousing-rental

http://profile.id.com.au/gold-coast/housing-rental

http://profile.id.com.au/gold-coast/language

http://profile.id.com.au/gold-coast/education



Public transport(to work) 4%

13% 7% 10%

Unemployment 7%6% 6% 6%

SEIFA index ofdisadvantage2011

10141018

1002 1002

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Location and boundaries

Gold Coast City is located in south-east Queensland, about 78 kilometres south of Brisbane. Gold Coast City is

bounded by Logan City, Redland City and Moreton Bay in the north, the Coral Sea in the east, the New South Wales

border in the south and the Scenic Rim Regional Council area in the west.

Name origin

In 1958, the South Coast Town Council adopted the Gold Coast Town Council title, and the promotional value of the

name was recognised the following year when the Queensland Government proclaimed the local authority as the City

of the Gold Coast.

About the area

Important

Statistics

Population

494,4962011 Usual residents

Land area

137,939hectares (1,379 Km )2

Population density


Gold Coast City


Legend

Suburbs

Gold Coast City

Electoral Divisions

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Settlement history

European settlement brought the first industry to the area. Timber-getters came in search of red cedar which was

shipped to Sydney for furniture, but many remained to farm the fertile land. The region's future as a fashionable

holiday destination was foreshadowed in the late 1880s when Queensland Governor, Anthony Musgrave, built a

seaside home in Southport. The future of the region was sealed when a new road, linking Brisbane to Southport, was

completed in 1925.

Land use

Gold Coast City covers an area of more than 1400

square kilometres with commercial and urban

development, more than 55 kilometres of beaches,

more than 270 kilometres of navigable waterways

and world heritage forest. Some 77,250 hectares

remain a natural environment that is home to more

than 1300 animal and 1700 plant species.

Indigenous background

The area we know today as Gold Coast City

covers part of the traditional country of the

Yugambeh people, whose descendents are among

our city's residents. Their legacy is the Aboriginal

names - such as Tallebudgera and Coombabah -

for some of our city's suburbs.

Included areas

Gold Coast City includes the suburbs, townships and rural localities of Advancetown, Alberton, Arundel, Ashmore,

Austinville, Benowa, Biggera Waters, Bilinga, Bonogin, Broadbeach, Broadbeach Waters, Bundall, Burleigh Heads,

Burleigh Waters, Carrara, Cedar Creek (part), Clagiraba, Clear Island Waters, Coolangatta, Coombabah, Coomera,

Currumbin, Currumbin Valley, Currumbin Waters, Elanora, Gaven, Gilberton, Gilston, Guanaba, Helensvale, Highland

Park, Hollywell, Hope Island, Jacobs Well, Kingsholme, Labrador, Lower Beechmont, Luscombe, Main Beach,

Maudsland, Mermaid Beach, Mermaid Waters, Merrimac, Miami, Molendinar, Mount Nathan, Mudgeeraba, Natural

Bridge, Nerang, Neranwood, Norwell, Numinbah Valley, Ormeau, Ormeau Hills, Oxenford, Pacific Pines, Palm Beach,

Paradise Point, Parkwood, Pimpama, Reedy Creek, Robina, Runaway Bay, South Stradbroke, Southport, Southern

Moreton Bay Islands, Springbrook, Stapylton, Steiglitz, Surfers Paradise, Tallai, Tallebudgera, Tallebudgera Valley,

Tugun, Upper Coomera, Varsity Lakes, Willow Vale, Wongawallan, Woongoolba, Worongary and Yatala.

Land use

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The Census provides us with a count of the total population in Gold Coast City in 2011 as well as several sub-

populations such as the Indigenous population, voter population and the overseas born. It also enables us to

see how these have changed over each five year period back to 1991. It is important to note that there are

different ways of counting populations. You can access two population counts on this page – the UsualResidence count and the Enumerated Count – by changing your Data Type selection in the control bar abovethe table. For post 2011 population go to Population Estimates and to read about which population to use

when, go to Population Types.

Population, households and dwellings

Population


Number %Greater


Brisbane2006 to

2011

Population (excluding O/S visitors) 494,496 100.0 100.0 433,937 100.0 100.0 +60,559

Males 241,587 48.9 49.3 213,416 49.2 49.2 +28,171

Females 252,909 51.1 50.7 220,521 50.8 50.8 +32,388

Australian citizens 391,737 79.2 83.4 348,668 80.3 85.5 +43,069

Eligible Voters (citizens aged 18+) 300,581 60.8 62.7 267,518 61.6 63.9 +33,063

Overseas Visitors -- -- -- -- -- -- --


Dwellings

Total Dwellings 221,334 100.0 100.0 206,423 100.0 100.0 +14,911


Population in non-private dwellings 23,740 -- -- 15,690 -- -- +8,050

Average household size (persons per dwelling) 2.50 -- 2.65 2.49 -- 2.63 +0.01

The 'Dwellings' table is enumerated data.

Culture and ethnicity

Aboriginal and Torres Strait Islander population 6,198 1.3 2.0 4,524 1.0 1.8 +1,674

Australian born 322,539 65.2 70.3 286,324 66.0 72.4 +36,215

Speaks a language other than English at home 50,623 10.2 13.2 37,563 8.7 10.4 +13,060


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facilities such as child care. It is an indicator of Gold Coast City's residential role and function and how it is likely to

change in the future.

Service age groups divide the population into age categories that reflect typical life-stages. They indicate the level of

demand for services that target people at different stages in life and how that demand is changing.



Service age groups

Age structure - service age groups


Service age group (years) Number %Greater

Brisbane % Number %Greater

Brisbane %2006 to

2011

Babies and pre-schoolers (0 to 4) 31,080 6.3 7.0 25,379 5.8 6.7 +5,701

Primary schoolers (5 to 11) 41,993 8.5 9.2 37,327 8.6 9.5 +4,666

Secondary schoolers (12 to 17) 37,593 7.6 8.0 34,219 7.9 8.5 +3,374

Tertiary education & independence (18 to 24) 47,507 9.6 10.5 41,754 9.6 10.5 +5,753

Young workforce (25 to 34) 68,464 13.8 14.8 59,827 13.8 14.4 +8,637

Parents and homebuilders (35 to 49) 106,332 21.5 21.6 94,026 21.7 22.1 +12,306

Older workers & pre-retirees (50 to 59) 61,310 12.4 12.0 56,860 13.1 12.5 +4,450

Empty nesters and retirees (60 to 69) 51,639 10.4 9.0 40,898 9.4 7.9 +10,741

Seniors (70 to 84) 39,350 8.0 6.4 36,401 8.4 6.5 +2,949

Elderly aged (85 and over) 9,228 1.9 1.6 7,187 1.7 1.4 +2,041



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Age structure, 2011


Change in age structure, 2006 to 2011


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Dominant groups

Analysis of the service age groups of Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

lower proportion of people in the younger age groups (0 to 17 years) and a higher proportion of people in the older

age groups (60+ years).




A larger percentage of 'Seniors' (8.0% compared to 6.4%)

A larger percentage of 'Empty nesters and retirees' (10.4% compared to 9.0%)

A smaller percentage of 'Young workforce' (13.8% compared to 14.8%)

A smaller percentage of 'Tertiary education & independence' (9.6% compared to 10.5%)

Emerging groups




Parents and homebuilders (35 to 49) (+12,306 persons)

Empty nesters and retirees (60 to 69) (+10,741 persons)

Young workforce (25 to 34) (+8,637 persons)

Tertiary education & independence (18 to 24) (+5,753 persons)

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facilities such as child care. It is also an indicator of Gold Coast City's residential role and function and how it is likely

to change in the future.

Five year age groups present a classic age profile of the population. Each age group covers exactly five years, which

enables direct comparison between each group.




Age structure - Five year age groups


Five year age groups (years) Number %Greater


Brisbane2006 to

2011

0 to 4 31,080 6.3 7.0 25,379 5.8 6.7 +5,701

5 to 9 29,761 6.0 6.6 26,425 6.1 6.7 +3,336

10 to 14 30,896 6.2 6.5 27,890 6.4 7.0 +3,006

15 to 19 32,043 6.5 6.9 28,595 6.6 7.1 +3,448

20 to 24 34,393 7.0 7.6 30,390 7.0 7.7 +4,003

25 to 29 34,793 7.0 7.7 28,802 6.6 6.9 +5,991

30 to 34 33,671 6.8 7.2 31,025 7.1 7.5 +2,646

35 to 39 35,932 7.3 7.4 31,820 7.3 7.6 +4,112

40 to 44 36,143 7.3 7.3 31,446 7.2 7.4 +4,697

45 to 49 34,257 6.9 6.9 30,760 7.1 7.1 +3,497

50 to 54 32,335 6.5 6.4 28,240 6.5 6.4 +4,095

55 to 59 28,975 5.9 5.6 28,620 6.6 6.1 +355

60 to 64 28,896 5.8 5.2 23,130 5.3 4.5 +5,766

65 to 69 22,743 4.6 3.8 17,768 4.1 3.3 +4,975

70 to 74 16,971 3.4 2.7 14,268 3.3 2.5 +2,703

75 to 79 12,367 2.5 2.0 12,590 2.9 2.3 -223

80 to 84 10,012 2.0 1.6 9,543 2.2 1.7 +469

85 and over 9,228 1.9 1.6 7,246 1.7 1.4 +1,982

Total 494,496 100.0 100.0 433,937 100.0 100.0 +60,559


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Five year age structure, 2011


Change in five year age structure, 2006 to 2011


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Dominant groups

Analysis of the five year age groups of Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

lower proportion of people in the younger age groups (under 15) and a higher proportion of people in the older age

groups (65+).








Emerging groups




25 to 29 (+5,991 persons)

60 to 64 (+5,766 persons)

0 to 4 (+5,701 persons)

65 to 69 (+4,975 persons)

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facilities. It is also an indicator of Gold Coast City's demographic role and function and how it is likely to change in the

future.

Single year of age data is presented as an age-sex pyramid which enables the shape of the population to be

compared geographically, temporally and by gender. For example, longer female life expectancy usually leads to the

pyramid skewing to the right in the older age groups.



.

Single year of age

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Age and sex pyramid, 2011


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Country of Birth data identifies where people were born and is indicative of the level of cultural diversity in Gold Coast

City. The mix of Country of Birth groups is also indicative of historical settlement patterns, as source countries for

Australia's immigration program have varied significantly over time.

To get a more complete picture of cultural and ethnic characteristics, Gold Coast City's Country of Birth data should

be viewed together with Ancestry, Language Spoken at Home and Religion.

Birthplace

Birthplace - ranked by size


Country of birth Number %Greater


Brisbane2006 to

2011

New Zealand 42,543 8.6 4.8 32,419 7.5 4.1 +10,124

United Kingdom 32,601 6.6 5.3 28,533 6.6 5.4 +4,068

South Africa 5,888 1.2 0.9 3,710 0.9 0.7 +2,178

Japan 3,682 0.7 0.2 3,057 0.7 0.2 +625

China 3,430 0.7 1.0 1,922 0.4 0.6 +1,508

Philippines 3,024 0.6 0.8 2,248 0.5 0.6 +776

Germany 2,926 0.6 0.5 2,839 0.7 0.5 +87

India 2,669 0.5 1.1 1,149 0.3 0.4 +1,520

South Korea 2,547 0.5 0.4 1,806 0.4 0.3 +741

United States of America 2,287 0.5 0.4 1,723 0.4 0.3 +564

Excludes countries with fewer than 20 people, or less than 0.1% of the total population.

Birthplace - summary


Birthplace Number %Greater


Brisbane2006 to

2011

Total Overseas born 137,791 27.9 24.6 109,517 25.2 21.4 +28,274

Non-English speaking backgrounds 51,652 10.4 12.6 40,959 9.4 10.4 +10,693

Main English speaking countries 86,139 17.4 12.0 68,558 15.8 11.0 +17,581

Australia 322,539 65.2 70.3 286,324 66.0 72.3 +36,215

Not Stated 34,170 6.9 5.1 38,162 8.8 6.2 -3,992



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Country of birth, 2011


Change in country of birth, 2006 to 2011


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Dominant groups

Analysis of the country of birth of the population in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a larger proportion of people born overseas, and a larger proportion of people from a non-English

speaking background.

Overall, 27.9% of the population was born overseas, and 10.4% were from a non-English speaking background,


The largest non-English speaking country of birth in Gold Coast City was Japan, where 0.7% of the population, or

3,682 people, were born.

The major differences between the countries of birth of the population in Gold Coast City and Greater Brisbane were:

A larger percentage of people born in New Zealand (8.6% compared to 4.8%)

A larger percentage of people born in United Kingdom (6.6% compared to 5.3%)

Emerging groups

Between 2006 and 2011, the number of people born overseas increased by 28,274 or 25.8%, and the number of

people from a non-English speaking background increased by 10,693 or 26.1%.

The largest changes in birthplace countries of the population in this area between 2006 and 2011 were for those

born in:

New Zealand (+10,124 persons)

United Kingdom (+4,068 persons)

South Africa (+2,178 persons)

India (+1,520 persons)

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Gold Coast City's language statistics show the proportion of the population who speak a language at home other than

English. They indicate how culturally diverse a population is and the degree to which different ethnic groups and

nationalities are retaining their language.

Gold Coast City's language statistics should be analysed in conjunction with Country of Birth and Proficiency in

English to assist in identifying specific cultural and ethnic groups in the area and the services required by the

multicultural community.


Language spoken at home - ranked by size


Language (excludes English) Number %Greater


Brisbane2006 to

2011

Japanese 4,709 1.0 0.2 3,754 0.9 0.2 +955

Mandarin 4,267 0.9 1.5 2,784 0.6 1.1 +1,483

Korean 2,807 0.6 0.4 1,929 0.4 0.3 +878

Cantonese 2,443 0.5 0.9 2,293 0.5 0.8 +150

Italian 2,419 0.5 0.5 2,423 0.6 0.6 -4

German 2,307 0.5 0.4 2,187 0.5 0.3 +120

Spanish 2,151 0.4 0.5 1,512 0.3 0.4 +639

Filipino/Tagalog 1,991 0.4 0.6 1,390 0.3 0.4 +601

French 1,796 0.4 0.2 1,469 0.3 0.2 +327

Arabic 1,568 0.3 0.4 1,015 0.2 0.3 +553

Excludes languages with fewer than 20 people speaking them at home, or less than 0.1% of the total population.

Language - summary


Language summary Number %Greater


Brisbane2006 to

2011


Non-English total 50,623 10.2 13.2 37,563 8.7 10.4 +13,060

Not stated 31,217 6.3 4.7 33,080 7.6 5.4 -1,863



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Language spoken at home, 2011


Change in language spoken at home, 2006 to 2011


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Dominant groups

Analysis of the language spoken at home by the population of Gold Coast City in 2011 compared to Greater Brisbane

shows that there was a larger proportion of people who spoke English only, and a smaller proportion of those

speaking a non-English language (either exclusively, or in addition to English).

Overall, 83.4% of the population spoke English only, and 10.2% spoke a non-English language, compared with 82.1%


The dominant language spoken at home, other than English, in Gold Coast City was Japanese, with 1.0% of the

population, or 4,709 people speaking this language at home.


Emerging groups

Between 2006 and 2011, the number of people who spoke a language other than English at home increased by

13,060 or 34.8%, and the number of people who spoke English only increased by 49,295 or 13.6%.

The largest changes in the spoken languages of the population in Gold Coast City between 2006 and 2011 were for

those speaking:

Mandarin (+1,483 persons)

Japanese (+955 persons)

Korean (+878 persons)

Spanish (+639 persons)

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Gold Coast City's religion statistics provide an indicator of cultural identity and ethnicity when observed in conjunction

with other key variables. Religion data reveal the major concentrations of religions as well as revealing the proportion

of people with no religious affiliation. There are a number of reasons for different religious compositions across areas

including the country of birth and ethnic background of the population, the age of the population (belief in religion is

generally stronger, the older the population) and changes in values and belief systems.

Gold Coast City's religion statistics should be analysed in conjunction with other ethnicity statistics such as Country of

Birth data and Language Spoken data to assist in identifying specific cultural and ethnic groups.

Religion

Religions - ranked by size


Religion Number %Greater


Brisbane2006 to

2011

Western (Roman) Catholic 115,376 23.3 24.1 100,336 23.1 24.5 +15,040

Anglican 103,176 20.9 17.1 95,925 22.1 19.0 +7,251

Uniting Church 24,390 4.9 6.0 23,706 5.5 6.9 +684

Presbyterian and Reformed 17,688 3.6 3.2 16,496 3.8 3.4 +1,192

Christian,nfd 15,360 3.1 2.8 9,181 2.1 2.0 +6,179

Buddhism 7,949 1.6 2.0 5,474 1.3 1.8 +2,475

Baptist 7,114 1.4 2.3 5,974 1.4 2.2 +1,140

Pentecostal 6,652 1.3 1.6 5,641 1.3 1.6 +1,011

Lutheran 6,448 1.3 1.7 6,104 1.4 1.8 +344

Islam 4,036 0.8 1.2 2,618 0.6 0.8 +1,418

Excludes religions with fewer than 20 adherents, or less than 0.1% of the total population.

Religions - summary


Religion totals Number %Greater


Brisbane2006 to

2011

Christian total 313,083 63.3 62.8 278,140 64.1 65.5 +34,943

Non Christian total 18,722 3.8 5.2 12,186 2.8 3.8 +6,536

Non-classifiable religious belief 4,663 0.9 0.8 3,106 0.7 0.7 +1,557

No religion 110,298 22.3 22.8 83,446 19.2 18.9 +26,852

Not stated 47,736 9.7 8.3 57,107 13.2 11.1 -9,371



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Religion, 2011


Change in religion, 2006 to 2011


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Dominant groups

Analysis of the religious affiliation of the population of Gold Coast City in 2011 compared to Greater Brisbane shows

that there was a lower proportion of people who professed a religion as well as a lower proportion who stated they

had no religion.

Overall, 67.1% of the population nominated a religion, and 22.3% said they had no religion, compared with 68.0%


The largest single religion in Gold Coast City was Western (Roman) Catholic, with 23.3% of the population or 115,376

people as adherents.

The major differences between the religious affiliation for the population of Gold Coast City and Greater Brisbane

were:

A larger percentage who nominated Anglican (20.9% compared to 17.1%)

A smaller percentage who nominated Uniting Church (4.9% compared to 6.0%)

Emerging groups

The largest changes in the religious affiliation of the population in Gold Coast City between 2006 and 2011 were for

those who nominated:

Western (Roman) Catholic (+15,040 persons)

Anglican (+7,251 persons)

Christian,nfd (+6,179 persons)

Buddhism (+2,475 persons)

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Educational Qualifications relate to education outside of primary and secondary school and are one of the most

important indicators of socio-economic status. With other data sources, such as Employment Status, Income and

Occupation, Gold Coast City's Educational Qualifications help to evaluate the economic opportunities and socio-

economic status of the area and identify skill gaps in the labour market.

Qualifications



Qualification level Number %Greater


Brisbane2006 to

2011

Bachelor or Higher degree 57,643 14.3 20.1 39,929 11.3 16.6 +17,714

Advanced Diploma or Diploma 35,452 8.8 8.0 26,470 7.5 7.2 +8,982

Vocational 83,460 20.7 18.1 67,046 18.9 16.6 +16,414

No qualification 176,197 43.7 44.0 165,796 46.8 47.9 +10,401

Not stated 50,026 12.4 9.7 55,002 15.5 11.8 -4,976



Highest qualification achieved, 2011


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Dominant groups

Analysis of the qualifications of the population in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a lower proportion of people holding formal qualifications (Bachelor or higher degree; Advanced Diploma or

Diploma; or Vocational qualifications), and a similar proportion of people with no formal qualifications.

Overall, 43.8% of the population aged 15 and over held educational qualifications, and 43.7% had no qualifications,


The major differences between qualifications held by the population of Gold Coast City and Greater Brisbane were:

A larger percentage of persons with Vocational qualifications (20.7% compared to 18.1%)

A smaller percentage of persons with Bachelor or Higher degrees (14.3% compared to 20.1%)

Emerging groups

The largest changes in the qualifications of the population in Gold Coast City between 2006 and 2011 were in those

with:

Bachelor or Higher degrees (+17,714 persons)

Vocational qualifications (+16,414 persons)

No qualifications (+10,401 persons)

Advanced Diploma or Diplomas (+8,982 persons)

Change in highest qualification achieved, 2006 to 2011


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Employment status

What is our employment status?

Industries

What industries do we work in?

Occupations

What are our occupations?


How do we get to work?

Volunteering

Do we do unpaid work?

Domestic work


Care

Unpaid care

Childcare

Unpaid childcare

Individual income

Weekly individual income



Household income


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Equivalised Household Income Quartiles

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Gold Coast City's employment statistics are an important indicator of socio-economic status. The levels of full or part-

time employment, unemployment and labour force participation indicate the strength of the local economy and social

characteristics of the population. Employment status is linked to a number of factors including Age Structure, which

influences the number of people in the workforce; the economic base and employment opportunities available in the

area and; the education and skill base of the population (Occupations, Industries, Qualifications).

Employment status

Employment status


Employment status Number %Greater


Brisbane2006 to

2011

Employed 231,630 92.6 94.1 201,821 94.8 95.6 +29,809

Employed full-time 140,463 56.1 61.0 125,647 59.0 62.6 +14,816

Employed part-time 86,484 34.6 31.2 70,860 33.3 30.5 +15,624

Hours worked not stated 4,683 1.9 1.9 5,314 2.5 2.5 -631

Unemployed 18,635 7.4 5.9 11,171 5.2 4.4 +7,464

Looking for full-time work 11,578 4.6 3.5 6,941 3.3 2.5 +4,637

Looking for part-time work 7,057 2.8 2.3 4,230 2.0 1.9 +2,827

Total Labour Force 250,265 100.0 100.0 212,992 100.0 100.0 +37,273

Labour force status


Labour force status Number %Greater


Brisbane2006 to

2011

Total Labour force 250,265 62.1 65.0 212,992 60.1 63.8 +37,273

Not in the labour force 123,795 30.7 29.9 110,112 31.1 30.1 +13,683

Labour force status not stated 28,720 7.1 5.1 31,200 8.8 6.1 -2,480



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Employment status, 2011


Change in employment status, 2006 to 2011


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Dominant groups

The size of Gold Coast City's labour force in 2011 was 250,265 persons, of which 86,484 were employed part-time

and 140,463 were full time workers.

Analysis of the employment status (as a percentage of the labour force) in Gold Coast City in 2011 compared to

Greater Brisbane shows that there was a lower proportion in employment, and a higher proportion unemployed.

Overall, 92.6% of the labour force was employed (57.5% of the population aged 15+), and 7.4% unemployed (4.6% of

the population aged 15+), compared with 94.1% and 5.9% respectively for Greater Brisbane.

The labour force participation rate refers to the proportion of the population over 15 years of age that was employed

or actively looking for work. "The labour force is a fundamental input to domestic production. Its size and composition

are therefore crucial factors in economic growth. From the viewpoint of social development, earnings from paid work

are a major influence on levels of economic well-being." (Australian Social Trends 1995).

Analysis of the labour force participation rate of the population in Gold Coast City in 2011 shows that there was a

lower proportion in the labour force (62.1%) compared with Greater Brisbane (65.0%).

Emerging groups

Between 2006 and 2011, the number of people employed in Gold Coast City showed an increase of 29,809 persons

and the number unemployed showed an increase of 7,464 persons. In the same period, the number of people in the

labour force showed an increase of 37,273 persons, or 17.5%.

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http://www.abs.gov.au/Ausstats/[email protected]/2f762f95845417aeca25706c00834efa/62dda2811f3143e5ca2570ec00752767!OpenDocument

Gold Coast City’s industry statistics identify the industry sectors in which the residents work (which may be within theresiding area or elsewhere). This will be influenced by the skill base and socio-economic status of the residents as

well as the industries and employment opportunities present in the region.

When viewed in conjunction with Residents Place of Work data and Method of Travel to Work, industry sector

statistics provide insights into the relationship between the economic and residential role of the area.

Industry sectors of employment

Industry sector of employment


Industry sector Number %Greater


Brisbane2006 to

2011

Agriculture, Forestry and Fishing 866 0.4 0.7 961 0.5 0.9 -95

Mining 1,654 0.7 1.3 573 0.3 0.6 +1,081

Manufacturing 17,508 7.6 9.3 18,347 9.1 11.1 -839

Electricity, Gas, Water and Waste Services 1,748 0.8 1.2 972 0.5 1.0 +776

Construction 26,148 11.3 8.3 24,335 12.1 8.1 +1,813

Retail Trade 28,611 12.4 10.1 27,233 13.5 11.2 +1,378

Wholesale trade 8,649 3.7 4.1 8,003 4.0 4.6 +646

Accommodation and Food Services 22,314 9.6 6.0 20,262 10.0 5.8 +2,052

Transport, Postal and Warehousing 8,942 3.9 5.7 7,488 3.7 5.5 +1,454

Information Media and Telecommunications 3,919 1.7 1.4 3,792 1.9 1.7 +127

Financial and Insurance Services 6,538 2.8 3.4 6,078 3.0 3.6 +460

Rental, Hiring and Real Estate Services 6,387 2.8 1.7 6,658 3.3 2.0 -271

Professional, Scientific and Technical Services 14,600 6.3 8.3 11,079 5.5 7.2 +3,521

Administrative and Support Services 9,216 4.0 3.3 7,486 3.7 3.2 +1,730

Public Administration and Safety 9,947 4.3 7.5 7,828 3.9 7.1 +2,119

Education and Training 16,448 7.1 8.1 12,470 6.2 7.9 +3,978

Health Care and Social Assistance 25,691 11.1 12.4 18,229 9.0 10.8 +7,462

Arts and Recreation Services 6,838 3.0 1.3 5,863 2.9 1.3 +975

Other Services 9,408 4.1 3.7 7,957 3.9 3.7 +1,451

Inadequately described or not stated 6,202 2.7 2.2 6,322 3.1 2.6 -120



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Industry sector of employment, 2011


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Change in industry sector of employment, 2006 to 2011


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Gold Coast City's occupation statistics quantify the occupations in which the residents work (which may be within the

residing area or elsewhere). This will be influenced by the economic base and employment opportunities available in

the area, education levels, and the working and social aspirations of the population. When viewed with other

indicators, such as Educational Qualifications and Individual Income, Occupation is a key measure for evaluating Gold

Coast City's socio-economic status and skill base.

Occupations of employment

Occupation of employment


Occupation Number %Greater


Brisbane2006 to

2011

Managers 28,577 12.3 11.6 25,261 12.5 11.4 +3,316

Professionals 40,310 17.4 22.2 30,945 15.3 20.2 +9,365

Technicians and Trades Workers 35,689 15.4 13.5 33,296 16.5 14.2 +2,393

Community and Personal Service Workers 25,172 10.9 9.7 19,788 9.8 8.8 +5,384

Clerical and Administrative Workers 33,624 14.5 16.2 29,809 14.8 16.5 +3,815

Sales Workers 29,444 12.7 9.4 27,327 13.5 10.2 +2,117

Machinery Operators And Drivers 11,839 5.1 6.4 10,192 5.0 6.6 +1,647

Labourers 22,679 9.8 9.2 21,371 10.6 10.4 +1,308

Inadequately described 4,307 1.9 1.8 3,933 1.9 1.7 +374



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Occupation of employment, 2011


Change in occupation of employment, 2006 to 2011


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Dominant groups

An analysis of the jobs held by the resident population in Gold Coast City in 2011 shows the three most popular

occupations were:

Professionals (40,310 people or 17.4%)

Technicians and Trades Workers (35,689 people or 15.4%)

Clerical and Administrative Workers (33,624 people or 14.5%)

In combination these three occupations accounted for 109,623 people in total or 47.3% of the employed resident

population.

In comparison, Greater Brisbane employed 22.2% in Professionals; 13.5% in Technicians and Trades Workers; and

16.2% in Clerical and Administrative Workers.

The major differences between the jobs held by the population of Gold Coast City and Greater Brisbane were:

A larger percentage of persons employed as Sales Workers (12.7% compared to 9.4%)

A larger percentage of persons employed as Technicians and Trades Workers (15.4% compared to 13.5%)

A larger percentage of persons employed as Community and Personal Service Workers (10.9% compared to 9.7%)

A smaller percentage of persons employed as Professionals (17.4% compared to 22.2%)

Emerging groups


The largest changes in the occupations of residents between 2006 and 2011 in Gold Coast City were for those

employed as:

Professionals (+9,365 persons)

Community and Personal Service Workers (+5,384 persons)

Clerical and Administrative Workers (+3,815 persons)

Managers (+3,316 persons)

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Gold Coast City's commuting statistics reveal the main modes of transport by which residents get to work. There are a

number of reasons why people use different modes of transport to get to work including the availability of affordable

and effective public transport options, the number of motor vehicles available within a household, and the distance

travelled to work.

Commuting data is very useful in transport planning as it informs decision-makers about the availability, effectiveness

and utilisation of local transport options, particularly when analysed with Residents Place of Work data and Car

Ownership.




Main method of travel Number %Greater


Brisbane2006 to

2011

Train 4,468 1.9 6.5 2,364 1.1 6.0 +2,104

Bus 4,502 1.9 6.0 3,685 1.8 5.0 +817

Tram or Ferry 28 0.0 0.2 62 0.0 0.3 -34

Taxi 305 0.1 0.2 339 0.2 0.3 -34

Car - as driver 155,088 66.3 58.8 133,793 64.7 58.3 +21,295

Car - as passenger 12,547 5.4 5.5 12,476 6.0 6.2 +71

Truck 2,359 1.0 1.1 2,947 1.4 1.5 -588

Motorbike 1,802 0.8 1.0 1,648 0.8 1.0 +154

Bicycle 2,068 0.9 1.0 1,910 0.9 0.9 +158

Walked only 6,386 2.7 3.1 5,749 2.8 3.1 +637

Other 2,845 1.2 1.2 2,144 1.0 1.0 +701

Worked at home 12,624 5.4 4.1 11,131 5.4 4.1 +1,493

Did not go to work 25,749 11.0 10.0 24,829 12.0 10.8 +920

Not stated 3,192 1.4 1.3 3,657 1.8 1.6 -465



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Method of travel to work, 2011


Change in method of travel to work, 2006 to 2011


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Dominant groups

In 2011, there were 8,998 people who caught public transport to work (train, bus, tram or ferry) in Gold Coast City,

compared with 171,796 who drove in private vehicles (car – as driver, car – as passenger, motorbike, or truck).

Analysis of the method of travel to work of the residents in Gold Coast City in 2011 compared to Greater Brisbane

shows that 3.8% used public transport, while 73.4% used a private vehicle, compared with 12.7% and 66.4%

respectively in Greater Brisbane.

The major differences between the method of travel to work of Gold Coast City and Greater Brisbane were:

A larger percentage of persons who travelled by car (as driver) (66.3% compared to 58.8%)

A larger percentage of persons who worked at home (5.4% compared to 4.1%)

A smaller percentage of persons who travelled by train (1.9% compared to 6.5%)

A smaller percentage of persons who travelled by bus (1.9% compared to 6.0%)

Emerging groups


The largest changes in the method of travel to work by resident population in Gold Coast City between 2006 and

2011 were for those nominated:

Car - as driver (+21,295 persons)

Train (+2,104 persons)

Worked at home (+1,493 persons)

Did not go to work (+920 persons)

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Individual Income statistics are an indicator of socio-economic status. With other data sources, such as Household

Income, Educational Qualifications and Occupation, they help tell the story of the economic opportunities and socio-

economic status of Gold Coast City. The amount of income an individual receives is linked to a number of factors

including employment status, age (as for instance students and retirees often receive a lower income), qualifications

and type of employment.


Individual Income Quartiles.

Individual income

Weekly individual gross income



Brisbane

Negative Income/ Nil income 31,863 7.9 8.0

$1-$199 27,770 6.9 7.2

$200-$299 40,158 10.0 9.1

$300-$399 39,017 9.7 9.1

$400-$599 51,571 12.8 11.2

$600-$799 47,730 11.9 10.8

$800-$999 35,983 8.9 9.0

$1000-$1249 31,521 7.8 8.8

$1250-$1499 20,668 5.1 6.2

$1500-$1999 21,377 5.3 7.0

$2000 or more 18,387 4.6 6.3

Not stated 36,719 9.1 7.2

Total persons aged 15+ 402,764 100.0 100.0


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Dominant groups

Analysis of individual income levels in Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

lower proportion of persons earning a high income (those earning $1,500 per week or more) and a higher proportion

of low income persons (those earning less than $400 per week).

Overall, 9.9% of the population earned a high income, and 34.5% earned a low income, compared with 13.4% and

33.4% respectively for Greater Brisbane.

The major differences between Gold Coast City's individual incomes and Greater Brisbane's individual incomes were:




A smaller percentage of persons who earned $2000 or more (4.6% compared to 6.3%)

Weekly individual gross income, 2011


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Gold Coast City's income statistics are an indicator of socio-economic status. With other data sources, such as

Household Income, Educational Qualifications and Occupation, they help tell the story of the area's economic

opportunities and socio-economic status. Individual income levels are not comparable over time because of the

influences of economic change such as wage level fluctuations and inflation. The income quartile method is the most

objective method of comparing change in the income profile of a community over time.

A detailed explanation of how Individual Income quartiles are calculated and interpreted is available in specific data

notes.






Brisbane2006 to

2011

Lowest group 92,532 25.3 24.4 76,375 24.2 24.3 +16,157

Medium lowest 94,446 25.8 22.9 80,551 25.5 23.2 +13,895

Medium highest 96,894 26.5 25.1 84,010 26.6 24.9 +12,883

Highest group 82,171 22.4 27.6 74,923 23.7 27.6 +7,247



Quartile group dollar ranges (Individuals)


Individual quartile ranges 2011 2006 2001





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Individual income quartiles, 2011


Change in individual income quartiles, 2006 to 2011


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Dominant groups


the population by income quartile in Gold Coast City compared to Greater Brisbane shows that there was lesser

proportion of persons in the highest income quartile, and a greater proportion in the lowest income quartile.

Emerging groups

The most significant change in Gold Coast City between 2006 and 2011 was in the lowest quartile which showed an

increase of 16,157 persons.

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Households form the common 'economic unit' in our society. Gold Coast City's Household Income is one of the most

important indicators of socio-economic status. With other data sources, such as Educational Qualifications and

Occupation, it helps to reveal the economic opportunities and socio-economic status of Gold Coast City. It is

important to note that income data is not necessarily a measure of wealth. For example, if an area has a large

number of retirees this will produce a higher proportion of households with low income but the retirees may have large

capital wealth. For this reason, household income should be viewed in conjunction with Age and Household

Composition.


Household Income Quartiles.

Household income




Brisbane

Negative Income/Nil Income 3,048 1.6 1.2

$1-$199 2,776 1.5 1.2

$200-$299 4,666 2.5 2.1

$300-$399 10,338 5.6 5.2

$400-$599 17,889 9.6 8.1

$600-$799 17,145 9.2 7.7

$800-$999 16,406 8.8 7.3

$1000-$1249 15,758 8.5 8.0

$1250-$1499 14,825 8.0 7.5

$1500-$1999 21,628 11.6 12.2

$2000-$2499 15,496 8.3 9.5

$2500-$2999 11,873 6.4 8.6

$3000-$3499 6,924 3.7 5.2

$3500-$3999 2,771 1.5 2.4

$4000-$4999 2,114 1.1 2.0

$5000 or more 2,069 1.1 1.6

Not stated 20,194 10.9 10.2

Total households 185,920 100.0 100.0


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Dominant groups

Analysis of household income levels in Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

smaller proportion of high income households (those earning $2,500 per week or more) and a higher proportion of

low income households (those earning less than $600 per week).

Overall, 13.9% of the households earned a high income, and 20.8% were low income households, compared with

19.7% and 17.8% respectively for Greater Brisbane.

The major differences between the household incomes of Gold Coast City and Greater Brisbane were:




A smaller percentage of households who earned $2500-$2999 (6.4% compared to 8.6%)

Weekly household income, 2011


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Households form the common 'economic unit' in our society. Household Income is one of the most important indicators

of socio-economic status. With other data sources, such as Educational Qualifications and Occupation, it helps to

reveal Gold Coast City's socio-economic status and economic opportunities. Household income levels are not

comparable over time because of the influences of economic change such as wage level fluctuations and inflation.

The income quartile method is a powerful and objective way of looking at income data and in particular, how it is

changing.

A detailed explanation of how Household Income quartiles are calculated and interpreted is available in specific data

notes.






Brisbane2006 to

2011

Lowest group 42,307 25.5 21.6 36,756 24.6 21.9 +5,551

Medium lowest 44,305 26.7 23.0 38,689 25.9 23.7 +5,616

Medium highest 42,429 25.6 25.9 38,646 25.8 25.4 +3,783

Highest group 36,683 22.1 29.4 35,470 23.7 28.9 +1,213










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Household income quartiles, 2011


Change in household income quartile, 2006 to 2011


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Dominant groups


households by income quartile in Gold Coast City compared to Greater Brisbane shows that there was lesser

proportion of households in the highest income quartile, and a greater proportion in the lowest income quartile.

Emerging groups



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Households summary

Households summary





Household size

How many people live in each household?

Tenure overview

Are we owners, renters or buyers?






Weekly housing rental



Dwelling type

What type of dwellings do we live in?

Number of bedrooms

How many bedrooms do our dwellings have?

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Internet connection

What type of internet connection do we have?

Number of cars

How many cars do we own?

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Gold Coast City's household and family structure is one of the most important demographic indicators. It reveals the

area's residential role and function, era of settlement and provides key insights into the level of demand for services

and facilities as most are related to age and household types.

To continue building the story, Gold Coast City's Household Summary should be viewed in conjunction with

Households with Children, Households without Children, Household Size, Age Structure and Dwelling Type.

Households summary

Household types


Households by type Number %Greater


Brisbane2006 to

2011



One parent families 21,655 11.1 11.1 18,658 10.2 11.0 +2,997

Other families 2,083 1.1 1.4 1,795 1.0 1.4 +288

Group household 10,887 5.6 5.0 9,356 5.1 4.7 +1,531

Lone person 41,754 21.3 21.0 36,879 20.2 21.3 +4,875

Other not classifiable household 9,669 4.9 3.1 12,736 7.0 3.8 -3,067

Visitor only households 4,334 2.2 0.9 9,952 5.5 1.0 -5,618



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Household types, 2011


Change in household types, 2006 to 2011


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Dominant groups

Analysis of the household/family types in Gold Coast City in 2011 compared to Greater Brisbane shows that there

was a lower proportion of couple families with child(ren) as well as a similar proportion of one-parent families. Overall,

27.5% of total families were couple families with child(ren), and 11.1% were one-parent families, compared with 32.0%


There were a similar proportion of lone person households and a higher proportion of couples without children.

Overall, the proportion of lone person households was 21.3% compared to 21.0% in Greater Brisbane while the

proportion of couples without children was 26.3% compared to 25.5% in Greater Brisbane.

Emerging groups


The largest changes in family/household types in Gold Coast City between 2006 and 2011 were:

Couples with children (+7,486 households)

Lone person (+4,875 households)

Couples without children (+4,797 households)

One parent families (+2,997 households)

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Households with Children require different services and facilities than other household types, and their needs change

as both adults and children age. When many families in an area are at the same stage in their individual lifecycles, it

creates a suburb lifecycle. Knowing where a suburb is in a cycle of change helps planners make evidence-based

decisions about the demand for services both now and in the future.

For Households with Children in Gold Coast City, life stage is based on the age of children in the household. The age

of the parent(s) is not taken into account.

Young children: Children aged under 15 only

Mixed age children: One or more children under 15 and one or more children over 15 (must have 2 or more

children)

Older children: Children aged 15 and over only






Households with children Number %Greater


Brisbane2006 to

2011


Couples with young children 30,770 15.7 17.9 26,099 14.3 17.4 +4,671

Couples with mixed-age children 7,563 3.9 4.7 6,734 3.7 4.9 +829

Couples with older children 15,504 7.9 9.4 13,518 7.4 9.4 +1,986

Single parents with children 21,655 11.1 11.1 18,658 10.2 11.0 +2,997

Single parents with young children 8,989 4.6 4.6 8,161 4.5 4.9 +828

Single parents with mixed-age children 2,579 1.3 1.4 2,327 1.3 1.4 +252

Single parents with older children 10,087 5.2 5.1 8,170 4.5 4.8 +1,917

Total households with children 75,492 38.6 43.1 65,009 35.7 42.7 +10,483



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Households with children, 2011


Change in households with children, 2006 to 2011


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Dominant groups

Analysis of the families with children in Gold Coast City in 2011 compared to Greater Brisbane shows that there was a

smaller proportion of couples with young children, as well as a smaller proportion of couples with older children.

Overall, 15.7% of total households with children were couple with young children, and 7.9% were couples with older

children, compared with 17.9% and 9.4% respectively for Greater Brisbane.

There were a similar proportion of single parent households with young children and a similar proportion of single

parent households with older children. Overall, the proportion of single parent households with young children was

4.6% compared to 4.6% in Greater Brisbane while the proportion of single parent households with older children was

5.2% compared to 5.1% in Greater Brisbane.

Emerging groups

Between 2006 and 2011, the number of households with children increased by 10,483 households or 16.1%.

The largest changes in households with children in this area between 2006 and 2011 were:

Couples with young children (+4,671 households)

Couples with older children (+1,986 households)

Single parents with older children (+1,917 households)

Couples with mixed-age children (+829 households)

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Households without Children include couples without children and lone person households. They require different

services depending on the age of the people in the households. For example young couples who have not had

children (yet) compared to older "empty nester" couples whose children may have left home.

For Households without Children in Gold Coast City, life stage is based on the age of the household reference person

(usually person 1 on the Census form):

Young: Aged 15-44

Middle-aged: Aged 45-64

Older: Aged 65 and over






Households without children Number %Greater


Brisbane2006 to

2011


Young couples without children 14,990 7.7 8.6 13,040 7.2 8.2 +1,950

Middle-aged couples without children 18,633 9.5 9.2 18,020 9.9 9.8 +613

Older couples without children 17,738 9.1 7.6 15,504 8.5 7.1 +2,234

Lone person households 41,754 21.3 21.0 36,879 20.2 21.3 +4,875

Young lone persons 11,450 5.9 6.3 10,415 5.7 6.7 +1,035

Middle-aged lone persons 14,063 7.2 7.1 12,365 6.8 7.1 +1,698

Older lone persons 16,241 8.3 7.6 14,099 7.7 7.5 +2,142

Group households 10,887 5.6 5.0 9,356 5.1 4.7 +1,531

Total households without children 104,002 53.2 51.5 92,799 50.9 51.0 +11,203



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Households without children, 2011


Change in households without children, 2006 to 2011


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Dominant groups

Analysis of the households without children in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a smaller proportion of young couples without children, a similar proportion of middle-aged couples without

children, and a larger proportion of older couples without children.

In addition, there were a similar proportion of young lone person households, a similar proportion of middle-aged lone

person households, and a larger proportion of older lone person households.

Emerging groups

Between 2006 and 2011, the number of households without children increased by 11,203.

The largest changes in households without children in Gold Coast City, between 2006 and 2011 were:

Older couples without children (+2,234 persons)

Older lone persons (+2,142 persons)

Young couples without children (+1,950 persons)

Middle-aged lone persons (+1,698 persons)

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The size of households in general follows the life-cycle of families. Households are usually small at the stage of

relationship formation (early marriage), and then increase in size with the advent of children. They later reduce in size

again as these children reach adulthood and leave home. Household size can also be influenced by a lack (or

abundance) of affordable housing. Overseas migrants and indigenous persons often have a tradition of living with

extended family members which significantly affects household size.

Household size in Australia has declined since the 1970s but between 2006 and 2011, the average household size

remained stable for the nation as a whole.

An increasing household size in an area may indicate a lack of affordable housing opportunities for young people, an

increase in the birth rate or an increase in family formation in the area. A declining household size may indicate

children leaving the area when they leave home, an increase in retirees settling in the area, or an attraction of young

singles and couples to the area.

For greater insight, Gold Coast City's Household Size data should be viewed in conjunction with Household Summary,

Age Structure, Dwelling Type, Household Income and Language Spoken at Home.

Household size

Household size


Number of persons usually resident Number %Greater


Brisbane2006 to

2011

1 person 41,759 23.0 21.8 36,825 23.1 22.3 +4,934

2 persons 67,201 37.0 33.9 60,532 38.0 34.3 +6,669

3 persons 30,432 16.8 17.0 26,065 16.3 16.6 +4,367

4 persons 27,064 14.9 16.4 23,048 14.5 16.2 +4,016

5 persons 10,507 5.8 7.1 9,277 5.8 7.1 +1,230

6 or more persons 4,646 2.6 3.7 3,739 2.3 3.4 +907

Total classifiable households 181,609 100.0 100.0 159,486 100.0 100.0 +22,123


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Household size, 2011


Change in household size, 2006 to 2011


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Dominant groups

Analysis of the number of persons usually resident in a household in Gold Coast City compared with Greater

Brisbane shows that there were a higher proportion of lone person households, and a lower proportion of larger

households (those with 4 persons or more). Overall there were 23.0% of lone person households, and 23.2% of

larger households, compared with 21.8% and 27.2% respectively for Greater Brisbane.

The major differences in the household size for Gold Coast City and Greater Brisbane were:

A larger percentage of households with 2 persons usually resident (37.0% compared to 33.9%)

A larger percentage of households with 1 person usually resident (23.0% compared to 21.8%)



Emerging groups


The largest changes in the number of persons usually resident in a household in Gold Coast City between 2006 and

2011 were:


1 person (+4,934 households)



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Gold Coast City's Housing Tenure data provides insights into its socio-economic status as well as the role it plays in

the housing market. For example, a high concentration of private renters may indicate a transient area attractive to

young singles and couples, while a concentration of home owners indicates a more settled area with mature families

and empty-nester Household Summary. Tenure can also reflect built form (Dwelling Type), with a significantly higher

share of renters in high density housing and a substantially larger proportion of home-owners in separate houses,

although this is not always the case.

In conjunction with other socio-economic status indicators in Gold Coast City, Tenure data is useful for analysing

housing markets, housing affordability and identifying public housing areas.

Housing tenure

Housing tenure


Tenure type Number %Greater


Brisbane2006 to

2011

Fully owned 49,533 25.3 26.4 49,660 27.2 28.7 -127

Mortgage 63,154 32.3 35.5 53,593 29.4 34.6 +9,561

Renting 66,516 34.0 32.1 58,167 31.9 29.8 +8,349

Renting - Social housing 4,489 2.3 4.1 4,172 2.3 4.1 +317

Renting - Private 60,742 31.1 27.5 52,313 28.7 25.0 +8,429

Renting - Not stated 1,285 0.7 0.5 1,682 0.9 0.6 -397

Other tenure type 1,676 0.9 0.8 2,057 1.1 0.7 -381

Not stated 14,722 7.5 5.2 18,782 10.3 6.2 -4,060



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Housing tenure, 2011


Change in housing tenure, 2006 to 2011


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Dominant groups

Analysis of the housing tenure of the population of Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a smaller proportion of households who owned their dwelling; a smaller proportion purchasing their

dwelling; and a larger proportion who were renters.

Overall, 25.3% of the population owned their dwelling; 32.3% were purchasing, and 34.0% were renting, compared

with 26.4%, 35.5% and 32.1% respectively for Greater Brisbane.

Emerging groups

The largest changes in housing tenure categories for the households in Gold Coast City between 2006 and 2011

were:

Mortgage (+9,561 persons)

Renting - Private (+8,429 persons)

Renting - Not stated (-397 persons)

Other tenure type (-381 persons)

The total number of households in Gold Coast City increased by 13,342 between 2006 and 2011.

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Rental payments can be a better measure of the cost of housing in Gold Coast City than mortgage repayments

because they are not contingent on length of occupancy or equity in the dwelling.

High rental payments may indicate desirable areas with mobile populations who prefer to rent, or a housing shortage,

or gentrification. Low rental payments may indicate public housing (check Tenure Type), or areas where low income

households move by necessity for a lower cost of living.

Rental payments are not directly comparable over time because of inflation. For comparison of rental payments over

time, go to Housing Rental Quartiles.


Weekly housing rental payments


Weekly rental amount Number %Greater

Brisbane

Nil 1,442 2.2 2.1

$1 - $74 965 1.5 2.6

$75 - $99 959 1.4 2.8

$100 - $124 825 1.2 2.4

$125 - $149 799 1.2 2.2

$150 - $174 1,232 1.9 2.9

$175 - $199 936 1.4 2.4

$200 - $224 1,850 2.8 4.4

$225 - $249 1,453 2.2 3.3

$250 - $274 3,702 5.6 6.2

$275 - $299 3,558 5.4 5.9

$300 - $324 6,707 10.1 11.0

$325 - $349 4,933 7.4 8.2

$350 - $374 8,277 12.5 10.8

$375 - $399 5,711 8.6 6.8

$400 - $424 6,669 10.0 6.8

$425 - $449 2,587 3.9 2.8

$450 - $549 7,440 11.2 7.8

$550 - $649 2,398 3.6 2.8

$650 - $749 1,081 1.6 1.2

$750 - $849 412 0.6 0.5

$850 - $949 190 0.3 0.2

$950+ 552 0.8 0.7

Rent Not stated 1,797 2.7 3.0

Total households renting 66,475 100.0 100.0


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Dominant groups

Analysis of the weekly housing rental payments of households in Gold Coast City compared to Greater Brisbane

shows that there was a larger proportion of households paying high rental payments ($400 per week or more), and a

smaller proportion of households with low rental payments (less than $150 per week).

Overall, 32.1% of households were paying high rental payments, and 7.5% were paying low payments, compared with

22.9% and 12.1% respectively in Greater Brisbane.

The major differences between the housing rental payments of Gold Coast City and Greater Brisbane were:





Weekly housing rental payments, 2011


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Rental payments in Gold Coast City are indicative of its residential role and function and are directly related to the

value of residential property. When viewed with Household Income data they may also indicate the level of 'housing

stress' in the community.

The quartile method is the most objective method of comparing change in the rental costs of a community over time.

A detailed explanation of how Housing Rental Payment quartiles are calculated and interpreted is available in specific

data notes.






Brisbane2006 to

2011

Lowest group 7,416 11.5 18.6 5,881 10.5 18.7 +1,534

Medium lowest 11,627 18.0 22.1 7,497 13.4 25.4 +4,131

Medium highest 19,486 30.1 29.8 14,436 25.8 30.4 +5,049

Highest group 26,147 40.4 29.5 28,160 50.3 25.4 -2,012

Total households renting 64,678 100.0 100.0 55,976 100.0 100.0 +8,702




Rental payment ranges 2011 2006 2001



Medium highest $305 to $378 $208 to $271 $153 to $192

Highest group $379 and over $272 and over $193 and over

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http://profile.id.com.au/gold-coast/topic-notes?na=10#housing-rental-quartiles



Housing rental payment quartiles for 2011


Change in housing rental payment quartiles, 2006 to 2011


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Dominant groups

Rental payment quartiles allow us to compare relative rental liabilities across time. Analysis of the distribution of

households by rental payment quartiles in Gold Coast City compared to Greater Brisbane shows that there was a

larger proportion of households in the highest payment quartile, and a smaller proportion in the lowest payment

quartile.

Emerging groups

The total number of households renting their dwelling in Gold Coast City increased by 8,702 between 2006 and 2011.

The most significant change during this period was in the medium highest quartile which showed an increase of 5,049

households.

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Dwelling Type is an important determinant of Gold Coast City's residential role and function. A greater concentration

of higher density dwellings is likely to attract more young adults and smaller households, often renting. Larger,

detached or separate dwellings are more likely to attract families and prospective families. The residential built form

often reflects market opportunities or planning policy, such as building denser forms of housing around public

transport nodes or employment centres.

Dwelling Type statistics should be viewed in conjunction with Household size, Household Types, Housing Tenure and

Age Structure for a more complete picture of the housing market in Gold Coast City.

Dwelling type

Dwelling structure




Brisbane2006 to

2011

Separate house 123,126 55.8 77.6 111,392 54.0 78.6 +11,734

Medium density 54,097 24.5 14.9 48,933 23.7 14.2 +5,164

High density 39,850 18.1 6.6 42,025 20.4 6.1 -2,175

Caravans, cabin, houseboat 2,951 1.3 0.7 3,167 1.5 0.8 -216

Other 488 0.2 0.1 488 0.2 0.2 0

Not stated 232 0.1 0.1 170 0.1 0.0 +62

Total Private Dwellings 220,744 100.0 100.0 206,175 100.0 100.0 +14,569

Dwelling type




Brisbane2006 to

2011


Unoccupied private dwellings 25,172 11.4 7.1 23,842 11.6 6.5 +1,330

Non private dwellings 575 0.3 0.1 252 0.1 0.1 +323

Total Dwellings 221,334 100.0 100.0 206,423 100.0 100.0 +14,911


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Dwelling structure, 2011


Change in dwelling structure, 2006 to 2011


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Dominant groups

In 2011, there were 123,126 separate houses in the area, 54,097 medium density dwellings, and 39,850 high density

dwellings. In addition, there were 2,951 caravans/cabins/houseboats in the area.

Analysis of the types of dwellings in Gold Coast City in 2011 shows that 55.8% of all dwellings were separate houses;

24.5% were medium density dwellings, and 18.1% were high density dwellings, compared with 77.6%, 14.9%, and

6.6% in the Greater Brisbane respectively.

In 2011, a total of 88.4% of the dwellings in Gold Coast City were occupied on Census night, compared to 92.8% in

Greater Brisbane. The proportion of unoccupied dwellings was 11.4%, which is larger compared to that found in

Greater Brisbane (7.1%).

Emerging groups

The total number of dwellings in Gold Coast City increased by 14,911 between 2006 and 2011.

The largest changes in the type of dwellings found in Gold Coast City between 2006 and 2011 were:

Separate house (+11,734 dwellings)

Medium density (+5,164 dwellings)

High density (-2,175 dwellings)

Caravans, cabin, houseboat (-216 dwellings)

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The Number of Bedrooms in a dwelling is an indicator of the size of dwellings, and when combined with dwelling type

information, provides insight into the role Gold Coast City plays in the housing market. For example, an area of high

density dwellings that are predominantly 1-2 bedroom are likely to attract students, single workers and young

couples, whereas a high density area with dwellings that are predominantly 2-3 bedroom may attract more empty

nesters and some families.

In combination with Household type and Household size, the Number of Bedrooms can also indicate issues around

housing affordability, overcrowding and other socio-economic factors.




Number of bedrooms Number %Greater


Brisbane2006 to

2011

0 or 1 bedrooms 11,107 5.7 4.4 10,327 5.7 4.3 +780

2 bedrooms 39,773 20.3 14.9 38,534 21.1 15.3 +1,239

3 bedrooms 70,818 36.2 40.0 67,641 37.1 42.6 +3,177

4 bedrooms 49,447 25.3 28.7 40,314 22.1 26.1 +9,133

5 bedrooms or more 10,822 5.5 7.1 8,047 4.4 6.1 +2,775

Not stated 13,613 7.0 4.7 17,368 9.5 5.7 -3,755



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Number of bedrooms per dwelling, 2011


Change in number of bedrooms per dwelling, 2006 to 2011


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Dominant groups

Analysis of the number of bedrooms in dwellings in Gold Coast City in 2011 compared to Greater Brisbane shows that

there was a higher proportion of dwellings with 1 and 2 bedrooms, and a lower proportion of dwellings with 4 or more

bedrooms.

Overall, 26.0% of households were in 1-2 bedroom dwellings, and 30.8% of 4-plus bedroom dwellings, compared with

19.4% and 35.8% for Greater Brisbane respectively.

The major differences between the number of bedrooms per dwelling of Gold Coast City and Greater Brisbane were:

A larger percentage of 2 bedroom dwellings (20.3% compared to 14.9%)

A larger percentage of dwellings with no bedrooms (includes bedsitters) (5.7% compared to 4.4%)



Emerging groups

The largest changes in the number of bedrooms per dwelling in Gold Coast City between 2006 and 2011 were:



5 bedrooms or more (+2,775 dwellings)


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A fast Internet Connection is increasingly required for accessing essential information and undertaking domestic and

non-domestic business. Households with dial-up or no internet service are being left behind in the digital divide' as

both government and the private sector are increasingly conducting their business, or aspects of it, on-line.

Internet connectivity in Gold Coast City can be affected by availability of connection, Education, Household Income

and Age Structure.

Internet connection



Connection type Number %Greater


Brisbane2006 to

2011

Total internet connection 149,949 76.7 78.6 107,855 59.2 63.7 +42,094

Broadband connection 135,255 69.2 72.1 71,914 39.5 43.6 +63,341

Dial-up connection 5,498 2.8 2.5 34,754 19.1 19.6 -29,256

Other connection 9,196 4.7 3.9 1,187 0.7 0.5 +8,009

No internet connection 28,565 14.6 15.2 54,761 30.1 29.7 -26,196

Not stated 17,058 8.7 6.2 19,587 10.8 6.6 -2,529



Type of internet connection, 2011


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Dominant groups

Analysis of the type of internet connection of households in Gold Coast City compared to Greater Brisbane shows

that there was a similar proportion of households with either no internet connection or a dial up connection, and a

lower proportion of households with broadband connectivity.

Overall 17.4% of households had no internet connection or a dial up connection, and 69.2% had broadband

connectivity, compared with 17.7% and 72.1% respectively in Greater Brisbane.

Emerging groups

Between 2006 and 2011 the number of households with an internet connection increased by 42,094.

The largest changes in the internet connectivity in Gold Coast City, between 2006 and 2011 were:

Broadband connection (+63,341 households)

Total internet connection (+42,094 households)

Dial-up connection (-29,256 households)

Change in type of internet connection, 2006 to 2011


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The ability of the population to access services and employment is strongly influenced by access to transport. The

number of motor vehicles per household in Gold Coast City quantifies access to private transport and will be

influenced by Age Structure and Household Type, which determine the number of adults present; access to Public

Transport; distance to shops, services, employment and education; and Household Income. Depending on these

factors, car ownership can be seen as a measure of advantage or disadvantage, or a neutral socio-economic

measure, which impacts on the environment and quality of life.

Number of cars per household

Car ownership


Number of cars Number %Greater


Brisbane2006 to

2011

No motor vehicles 12,018 6.1 7.7 13,353 7.3 8.5 -1,335

1 motor vehicle 67,631 34.6 34.4 63,729 35.0 35.0 +3,902

2 motor vehicles 70,976 36.3 35.7 61,119 33.5 34.8 +9,857

3 or more motor vehicles 29,156 14.9 16.5 23,989 13.2 14.8 +5,167

Not stated 15,803 8.1 5.7 20,039 11.0 7.0 -4,236



Car ownership, 2011


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Dominant groups

Analysis of the car ownership of the households in Gold Coast City in 2011 compared to Greater Brisbane shows that

85.8% of the households owned at least one car, while 6.1% did not, compared with 86.6% and 7.7% respectively in

Greater Brisbane.

Of those that owned at least one vehicle, there was a similar proportion who owned just one car; a larger proportion

who owned two cars; and a smaller proportion who owned three cars or more.

Overall, 34.6% of the households owned one car; 36.3% owned two cars; and 14.9% owned three cars or more,

compared with 34.4%; 35.7% and 16.5% respectively for Greater Brisbane.

Emerging groups

The largest changes in the household car ownership in Gold Coast City between 2006 and 2011 were:

2 motor vehicles (+9,857 households)

3 or more motor vehicles (+5,167 households)

1 motor vehicle (+3,902 households)

No motor vehicles (-1,335 households)

Change in car ownership, 2006 to 2011


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The Estimated Resident Population is the OFFICIAL Gold Coast City population for 2012.

Populations are counted and estimated in various ways. The most comprehensive population count available in

Australia is derived from the Census of Population and Housing conducted by the Australian Bureau of

Statistics every five years. However the Census count is NOT the official population of Gold Coast City. To

provide a more accurate population figure which is updated more frequently than every five years, the

Australian Bureau of Statistics also produces "Estimated Resident Population" (ERP) numbers for Gold Coast

City.

See data notes for a detailed explanation of different population types, how they are calculated and when to

use each one.



Gold Coast City

Year (ending June 30) NumberChange in

numberChange in

percent

2001 379,679 -- --

2002 394,631 +14,952 +3.94

2003 410,545 +15,914 +4.03

2004 424,005 +13,460 +3.28

2005 436,671 +12,666 +2.99

2006 450,075 +13,404 +3.07

2007 466,940 +16,865 +3.75

2008 481,569 +14,629 +3.13

2009 495,835 +14,266 +2.96

2010 506,135 +10,300 +2.08

2011 515,202 +9,067 +1.79

2012 526,173 +10,971 +2.13

Source: Australian Bureau of Statistics, Regional Population Growth, Australia (3218.0). Compiled and presented in profile.id by .idThe population experts

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Annual change in Estimated Resident Population (ERP)


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Gold Coast City's building approvals are used as a leading indicator of the general level of residential

development, economic activity, employment and investment. Residential building activity depends on many

factors that vary with the state of the economy including interest rates, availability of mortgage funds,

government spending, and business investment. Large financial changes or shocks, such as the Global

Financial Crisis of 2008/09 can be observed in the data. However, the number of building approvals can

fluctuate substantially from year to year simply as a result of the short-term nature of many construction

projects, and the cyclical nature of the industry.



Gold Coast City Number Annual changeYear (ending June 30) Houses Other Total Houses Other Total

2012-13 1,265 1,245 2,510 -70 +303 +233

2011-12 1,335 942 2,277 -128 -255 -383

2010-11 1,463 1,197 2,660 -855 -66 -921

2009-10 2,318 1,263 3,581 +533 -1,343 -810

2008-09 1,785 2,606 4,391 -541 -861 -1,402

2007-08 2,326 3,467 5,793 -1,616 +472 -1,144

2006-07 3,942 2,995 6,937 +3,304 +1,039 +4,343

2005-06 638 1,956 2,594 +33 +133 +166

2004-05 605 1,823 2,428 -348 -1,071 -1,419

2003-04 953 2,894 3,847 -384 -133 -517

2002-03 1,337 3,027 4,364 -577 +1,505 +928

2001-02 1,914 1,522 3,436 +927 +442 +1,369

2000-01 987 1,080 2,067 -234 -765 -999

1999-00 1,221 1,845 3,066 +185 +723 +908

1998-99 1,036 1,122 2,158 -173 -939 -1,112

1997-98 1,209 2,061 3,270 -231 +902 +671

1996-97 1,440 1,159 2,599 +187 -76 +111

1995-96 1,253 1,235 2,488 -- -- --

Source: Australian Bureau of Statistics, Building Approvals, Australia (8731.0). Compiled and presented in profile.id by .id Thepopulation experts

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