Regional population by age and sex, 2023

All population estimates are as at 30 June 2023.

The median age is the age at which half the population is older and half is younger.

The sex ratio is the number of males per 100 females.

Any reference to capital city refers to Greater Capital City Statistical Area (GCCSA), and any reference to area refers to Statistical Area Level 2 (SA2).

Capital cities

People aged 20 to 44 years made up 38% of the combined capital city population, compared with 30% of the population in the rest of Australia.
People aged 55 years and over made up a smaller proportion of the population in capital cities (26%) than in the rest of Australia (34%).
The sex ratio in the combined capital cities was 98.4 males per 100 females, compared with 99.1 for the rest of Australia, indicating a higher share of females in the capitals.

Age and sex distribution

Age and sex distribution
Age group (years)	Capital cities (Males) (%)	Rest of Australia (Males) (%)	Capital cities (Females) (%)	Rest of Australia (Females) (%)
0-4	2.96	2.84	2.81	2.69
5-9	3.13	3.07	2.95	2.89
10-14	3.15	3.30	2.99	3.10
15-19	3.10	3.16	2.91	2.94
20-24	3.63	2.81	3.39	2.58
25-29	4.00	2.96	3.88	2.90
30-34	3.98	3.09	4.05	3.15
35-39	3.88	3.05	3.92	3.14
40-44	3.50	2.91	3.54	3.03
45-49	3.06	2.87	3.12	2.95
50-54	3.05	3.20	3.16	3.29
55-59	2.68	3.07	2.78	3.18
60-64	2.51	3.31	2.67	3.46
65-69	2.09	3.03	2.33	3.13
70-74	1.77	2.71	2.02	2.76
75-79	1.44	2.15	1.64	2.21
80-84	0.89	1.26	1.07	1.40
85+	0.77	0.99	1.19	1.42

Age and sex distribution

["Age group (years)","Capital cities (Males)","Rest of Australia (Males)","Capital cities (Females)","Rest of Australia (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[2.96],[3.1299999999999999],[3.1499999999999999],[3.1000000000000001],[3.6299999999999999],[4],[3.98],[3.8799999999999999],[3.5],[3.0600000000000001],[3.0499999999999998],[2.6800000000000002],[2.5099999999999998],[2.0899999999999999],[1.77],[1.4399999999999999],[0.89000000000000001],[0.77000000000000002]],[[2.8399999999999999],[3.0699999999999998],[3.2999999999999998],[3.1600000000000001],[2.8100000000000001],[2.96],[3.0899999999999999],[3.0499999999999998],[2.9100000000000001],[2.8700000000000001],[3.2000000000000002],[3.0699999999999998],[3.3100000000000001],[3.0299999999999998],[2.71],[2.1499999999999999],[1.26],[0.98999999999999999]],[[2.8100000000000001],[2.9500000000000002],[2.9900000000000002],[2.9100000000000001],[3.3900000000000001],[3.8799999999999999],[4.0499999999999998],[3.9199999999999999],[3.54],[3.1200000000000001],[3.1600000000000001],[2.7799999999999998],[2.6699999999999999],[2.3300000000000001],[2.02],[1.6399999999999999],[1.0700000000000001],[1.1899999999999999]],[[2.6899999999999999],[2.8900000000000001],[3.1000000000000001],[2.9399999999999999],[2.5800000000000001],[2.8999999999999999],[3.1499999999999999],[3.1400000000000001],[3.0299999999999998],[2.9500000000000002],[3.29],[3.1800000000000002],[3.46],[3.1299999999999999],[2.7599999999999998],[2.21],[1.3999999999999999],[1.4199999999999999]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age and sex ratio

Darwin had the youngest median age of all capital cities at 34.6 years, followed by Canberra at 35.6.
Adelaide was the oldest capital city with a median age of 39.2 years, ahead of Hobart at 38.9.
Hobart had the lowest sex ratio of all capital cities (95.6 males per 100 females), while Darwin had the highest (104.7).

Median age and sex ratio by capital city

Median age and sex ratio by capital city
Capital city	Median age (years)	Sex ratio
Sydney	36.8	99.0
Melbourne	36.6	97.9
Brisbane	36.5	98.2
Adelaide	39.2	96.0
Perth	37.6	99.6
Hobart	38.9	95.6
Darwin	34.6	104.7
Canberra	35.6	97.5
Total capital cities	37.0	98.4
Total Australia	38.3	98.6

Regions

Median age

The areas with the youngest median ages were:

Acton (20.8 years) and Duntroon (21.8) in the Australian Capital Territory, which had large populations of students or military personnel
Clayton (North) - Notting Hill (24.3 years) in Victoria, which contained the main Monash University campus
Northern Peninsula (24.5 years) in Queensland, which had a high proportion of Aboriginal and/or Torres Strait Islander people

The areas with the oldest median ages were all retirement destinations on the coast including:

Tea Gardens - Hawks Nest (66.2 years) in New South Wales
Bribie Island (63.6 years) and Cooloola (62.4) in Queensland
Point Lonsdale - Queenscliff (62.2 years) in Victoria

Areas with the youngest median ages

SA2	SA4	Median age (years)
Acton	Australian Capital Territory	20.8
Duntroon	Australian Capital Territory	21.8
Clayton (North) - Notting Hill	Melbourne - South East	24.3
Northern Peninsula	Queensland - Outback	24.5
St Lucia	Brisbane - West	24.7

Areas with the oldest median ages

SA2	SA4	Median age (years)
Tea Gardens - Hawks Nest	Hunter Valley exc Newcastle (NSW)	66.2
Bribie Island	Moreton Bay - North (Qld)	63.6
Cooloola	Wide Bay (Qld)	62.4
Point Lonsdale - Queenscliff	Geelong (Vic.)	62.2
Tuncurry	Mid North Coast (NSW)	62.0

Sex ratio

The areas with the lowest sex ratios, generally with older age profiles and reflecting the longer life expectancy of females, were:

Woollahra (80.9 males per 100 females) in Sydney’s east, and Castle Hill - East (82.7) in Sydney’s north-west
Robina - West (82.2 males per 100 females) on Queensland’s Gold Coast
Mornington - West (82.4 males per 100 females) in Melbourne’s south

The areas with the highest sex ratios were:

Wacol (278.1 males per 100 females) in Brisbane’s south-west and Chidlow (247.5) in Perth’s north-east, which both contained male correctional centres
East Pilbara (274.2 males per 100 females), an area with significant mining activity in Western Australia’s outback
Duntroon (227.0 males per 100 females) in the Australian Capital Territory, which contained the Royal Military College

Areas with the lowest sex ratios

SA2	SA4	Sex ratio
Woollahra	Sydney - Eastern Suburbs	80.9
Robina - West	Gold Coast (Qld)	82.2
Mornington - West	Mornington Peninsula (Vic.)	82.4
Castle Hill - East	Sydney - Baulkham Hills and Hawkesbury	82.7
Double Bay - Darling Point	Sydney - Eastern Suburbs	83.4

Areas with the highest sex ratios

SA2	SA4	Sex ratio
Wacol	Ipswich (Qld)	278.1
East Pilbara	Western Australia - Outback (North)	274.2
Chidlow	Perth - North East	247.5
Duntroon	Australian Capital Territory	227.0
Howard Springs	Darwin	177.0

New South Wales

Greater Sydney had a younger age distribution than the rest of New South Wales, reflecting the pattern of young adults moving to capital cities for education and work purposes.
People aged 20 to 44 years made up 38% of Sydney's population, compared with 29% in the rest of the state.
People aged 60 years and over made up 20% of Sydney's population, compared with 29% in the rest of New South Wales.

Age and sex distribution, New South Wales

Age and sex distribution, New South Wales
Age group (years)	Sydney (Males) (%)	Rest of NSW (Males) (%)	Sydney (Females) (%)	Rest of NSW (Females) (%)
0-4	2.98	2.93	2.81	2.76
5-9	3.08	3.06	2.92	2.87
10-14	3.14	3.28	2.96	3.07
15-19	3.10	3.14	2.87	2.93
20-24	3.75	2.88	3.40	2.62
25-29	4.05	2.87	3.95	2.78
30-34	4.03	3.00	4.07	3.05
35-39	3.88	2.96	3.92	3.02
40-44	3.55	2.82	3.57	2.91
45-49	3.08	2.78	3.14	2.86
50-54	3.02	3.10	3.13	3.20
55-59	2.67	2.98	2.75	3.10
60-64	2.52	3.33	2.65	3.51
65-69	2.08	3.09	2.30	3.23
70-74	1.73	2.79	1.96	2.87
75-79	1.42	2.26	1.59	2.35
80-84	0.88	1.34	1.05	1.53
85+	0.78	1.09	1.20	1.63

Age and sex distribution, New South Wales

["Age group (years)","Sydney (Males)","Rest of NSW (Males)","Sydney (Females)","Rest of NSW (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[2.98],[3.0800000000000001],[3.1400000000000001],[3.1000000000000001],[3.75],[4.0499999999999998],[4.0300000000000002],[3.8799999999999999],[3.5499999999999998],[3.0800000000000001],[3.02],[2.6699999999999999],[2.52],[2.0800000000000001],[1.73],[1.4199999999999999],[0.88],[0.78000000000000003]],[[2.9300000000000002],[3.0600000000000001],[3.2799999999999998],[3.1400000000000001],[2.8799999999999999],[2.8700000000000001],[3],[2.96],[2.8199999999999998],[2.7799999999999998],[3.1000000000000001],[2.98],[3.3300000000000001],[3.0899999999999999],[2.79],[2.2599999999999998],[1.3400000000000001],[1.0900000000000001]],[[2.8100000000000001],[2.9199999999999999],[2.96],[2.8700000000000001],[3.3999999999999999],[3.9500000000000002],[4.0700000000000003],[3.9199999999999999],[3.5699999999999998],[3.1400000000000001],[3.1299999999999999],[2.75],[2.6499999999999999],[2.2999999999999998],[1.96],[1.5900000000000001],[1.05],[1.2]],[[2.7599999999999998],[2.8700000000000001],[3.0699999999999998],[2.9300000000000002],[2.6200000000000001],[2.7799999999999998],[3.0499999999999998],[3.02],[2.9100000000000001],[2.8599999999999999],[3.2000000000000002],[3.1000000000000001],[3.5099999999999998],[3.23],[2.8700000000000001],[2.3500000000000001],[1.53],[1.6299999999999999]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Victoria

Greater Melbourne had a younger age distribution than the rest of Victoria, as younger adults tend to migrate out of regional areas to pursue work and education in the capital city.
People aged 20 to 44 years made up 39% of the population in Melbourne, compared with 29% in the rest of the state.
There was a lower proportion of people aged 55 years and over in Melbourne (25%) than in the rest of Victoria (36%).

Age and sex distribution, Victoria

Age and sex distribution, Victoria
Age group (years)	Melbourne (Males) (%)	Rest of Vic. (Males) (%)	Melbourne (Females) (%)	Rest of Vic. (Females) (%)
0-4	2.95	2.77	2.82	2.68
5-9	3.11	2.99	2.94	2.86
10-14	3.05	3.19	2.91	2.98
15-19	3.02	3.09	2.86	2.89
20-24	3.68	2.68	3.47	2.42
25-29	4.16	2.84	4.02	2.76
30-34	4.13	3.01	4.24	3.07
35-39	4.04	2.96	4.06	3.12
40-44	3.57	2.77	3.58	2.96
45-49	3.04	2.80	3.11	2.94
50-54	3.01	3.11	3.17	3.27
55-59	2.62	3.04	2.75	3.24
60-64	2.42	3.36	2.58	3.61
65-69	2.00	3.19	2.24	3.37
70-74	1.66	2.90	1.93	3.01
75-79	1.37	2.26	1.59	2.35
80-84	0.87	1.34	1.07	1.51
85+	0.78	1.06	1.20	1.59

Age and sex distribution, Victoria

["Age group (years)","Melbourne (Males)","Rest of Vic. (Males)","Melbourne (Females)","Rest of Vic. (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[2.9500000000000002],[3.1099999999999999],[3.0499999999999998],[3.02],[3.6800000000000002],[4.1600000000000001],[4.1299999999999999],[4.04],[3.5699999999999998],[3.04],[3.0099999999999998],[2.6200000000000001],[2.4199999999999999],[2],[1.6599999999999999],[1.3700000000000001],[0.87],[0.78000000000000003]],[[2.77],[2.9900000000000002],[3.1899999999999999],[3.0899999999999999],[2.6800000000000002],[2.8399999999999999],[3.0099999999999998],[2.96],[2.77],[2.7999999999999998],[3.1099999999999999],[3.04],[3.3599999999999999],[3.1899999999999999],[2.8999999999999999],[2.2599999999999998],[1.3400000000000001],[1.0600000000000001]],[[2.8199999999999998],[2.9399999999999999],[2.9100000000000001],[2.8599999999999999],[3.4700000000000002],[4.0199999999999996],[4.2400000000000002],[4.0599999999999996],[3.5800000000000001],[3.1099999999999999],[3.1699999999999999],[2.75],[2.5800000000000001],[2.2400000000000002],[1.9299999999999999],[1.5900000000000001],[1.0700000000000001],[1.2]],[[2.6800000000000002],[2.8599999999999999],[2.98],[2.8900000000000001],[2.4199999999999999],[2.7599999999999998],[3.0699999999999998],[3.1200000000000001],[2.96],[2.9399999999999999],[3.27],[3.2400000000000002],[3.6099999999999999],[3.3700000000000001],[3.0099999999999998],[2.3500000000000001],[1.51],[1.5900000000000001]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Queensland

Greater Brisbane had a higher proportion of its population aged 20 to 44 years (37%) than the rest of Queensland (31%), reflecting the pattern of young adults moving to capital cities for work and education purposes.
In contrast, Brisbane had a lower proportion aged 55 years and over (25%) than the rest of the state (32%).

Age and sex distribution, Queensland

Age and sex distribution, Queensland
Age group (years)	Brisbane (Males) (%)	Rest of Qld (Males) (%)	Brisbane (Females) (%)	Rest of Qld (Females) (%)
0-4	3.02	2.81	2.85	2.64
5-9	3.24	3.08	3.05	2.92
10-14	3.37	3.37	3.19	3.20
15-19	3.31	3.25	3.11	3.05
20-24	3.64	2.91	3.55	2.79
25-29	3.91	3.08	3.83	3.12
30-34	3.83	3.15	3.89	3.29
35-39	3.70	3.11	3.79	3.27
40-44	3.43	3.03	3.52	3.21
45-49	3.09	2.97	3.20	3.11
50-54	3.13	3.26	3.23	3.39
55-59	2.67	3.05	2.75	3.19
60-64	2.46	3.14	2.62	3.30
65-69	2.04	2.79	2.25	2.92
70-74	1.78	2.49	2.00	2.54
75-79	1.43	2.00	1.60	2.05
80-84	0.84	1.15	0.99	1.27
85+	0.64	0.87	1.02	1.22

Age and sex distribution, Queensland

["Age group (years)","Brisbane (Males)","Rest of Qld (Males)","Brisbane (Females)","Rest of Qld (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[3.02],[3.2400000000000002],[3.3700000000000001],[3.3100000000000001],[3.6400000000000001],[3.9100000000000001],[3.8300000000000001],[3.7000000000000002],[3.4300000000000002],[3.0899999999999999],[3.1299999999999999],[2.6699999999999999],[2.46],[2.04],[1.78],[1.4299999999999999],[0.83999999999999997],[0.64000000000000001]],[[2.8100000000000001],[3.0800000000000001],[3.3700000000000001],[3.25],[2.9100000000000001],[3.0800000000000001],[3.1499999999999999],[3.1099999999999999],[3.0299999999999998],[2.9700000000000002],[3.2599999999999998],[3.0499999999999998],[3.1400000000000001],[2.79],[2.4900000000000002],[2],[1.1499999999999999],[0.87]],[[2.8500000000000001],[3.0499999999999998],[3.1899999999999999],[3.1099999999999999],[3.5499999999999998],[3.8300000000000001],[3.8900000000000001],[3.79],[3.52],[3.2000000000000002],[3.23],[2.75],[2.6200000000000001],[2.25],[2],[1.6000000000000001],[0.98999999999999999],[1.02]],[[2.6400000000000001],[2.9199999999999999],[3.2000000000000002],[3.0499999999999998],[2.79],[3.1200000000000001],[3.29],[3.27],[3.21],[3.1099999999999999],[3.3900000000000001],[3.1899999999999999],[3.2999999999999998],[2.9199999999999999],[2.54],[2.0499999999999998],[1.27],[1.22]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

South Australia

Greater Adelaide had a younger age distribution than the rest of South Australia.
People aged 20 to 44 years made up 35% of the population in Adelaide, compared with 26% in the rest of the state. This is indicative of young adults moving to the capital city for employment or education purposes.
There was a lower proportion of people aged 55 years and over in Adelaide (30%) than in the rest of the state (40%).

Age and sex distribution, South Australia

Age and sex distribution, South Australia
Age group (years)	Adelaide (Males) (%)	Rest of SA (Males) (%)	Adelaide (Females) (%)	Rest of SA (Females) (%)
0-4	2.75	2.54	2.63	2.38
5-9	2.93	2.84	2.78	2.69
10-14	3.01	3.17	2.87	2.91
15-19	2.99	3.01	2.88	2.70
20-24	3.43	2.53	3.22	2.02
25-29	3.69	2.66	3.57	2.43
30-34	3.58	2.80	3.64	2.62
35-39	3.51	2.79	3.62	2.74
40-44	3.20	2.67	3.32	2.59
45-49	2.92	2.72	3.00	2.69
50-54	3.07	3.33	3.19	3.27
55-59	2.84	3.48	3.03	3.32
60-64	2.78	3.94	3.05	3.85
65-69	2.39	3.76	2.75	3.53
70-74	2.11	3.42	2.49	3.26
75-79	1.73	2.69	2.05	2.64
80-84	1.05	1.57	1.36	1.64
85+	0.99	1.19	1.57	1.61

Age and sex distribution, South Australia

["Age group (years)","Adelaide (Males)","Rest of SA (Males)","Adelaide (Females)","Rest of SA (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[2.75],[2.9300000000000002],[3.0099999999999998],[2.9900000000000002],[3.4300000000000002],[3.6899999999999999],[3.5800000000000001],[3.5099999999999998],[3.2000000000000002],[2.9199999999999999],[3.0699999999999998],[2.8399999999999999],[2.7799999999999998],[2.3900000000000001],[2.1099999999999999],[1.73],[1.05],[0.98999999999999999]],[[2.54],[2.8399999999999999],[3.1699999999999999],[3.0099999999999998],[2.5299999999999998],[2.6600000000000001],[2.7999999999999998],[2.79],[2.6699999999999999],[2.7200000000000002],[3.3300000000000001],[3.48],[3.9399999999999999],[3.7599999999999998],[3.4199999999999999],[2.6899999999999999],[1.5700000000000001],[1.1899999999999999]],[[2.6299999999999999],[2.7799999999999998],[2.8700000000000001],[2.8799999999999999],[3.2200000000000002],[3.5699999999999998],[3.6400000000000001],[3.6200000000000001],[3.3199999999999998],[3],[3.1899999999999999],[3.0299999999999998],[3.0499999999999998],[2.75],[2.4900000000000002],[2.0499999999999998],[1.3600000000000001],[1.5700000000000001]],[[2.3799999999999999],[2.6899999999999999],[2.9100000000000001],[2.7000000000000002],[2.02],[2.4300000000000002],[2.6200000000000001],[2.7400000000000002],[2.5899999999999999],[2.6899999999999999],[3.27],[3.3199999999999998],[3.8500000000000001],[3.5299999999999998],[3.2599999999999998],[2.6400000000000001],[1.6399999999999999],[1.6100000000000001]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Western Australia

Greater Perth had a higher proportion of its population aged 20 to 39 years (29%) than the rest of Western Australia (24%). This is consistent with young adults moving to the capital city for employment or education purposes.
There was a lower proportion of people aged 50 years and over in Perth (33%) than in the rest of the state (38%).

Age and sex distribution, Western Australia

Age and sex distribution, Western Australia
Age group (years)	Perth (Males) (%)	Rest of WA (Males) (%)	Perth (Females) (%)	Rest of WA (Females) (%)
0-4	3.02	3.03	2.86	2.84
5-9	3.26	3.40	3.07	3.19
10-14	3.24	3.47	3.06	3.27
15-19	3.14	3.08	2.94	2.88
20-24	3.34	2.53	3.12	2.21
25-29	3.70	3.07	3.54	2.86
30-34	3.81	3.36	3.84	3.31
35-39	3.92	3.54	3.91	3.40
40-44	3.53	3.35	3.52	3.23
45-49	3.10	3.18	3.11	2.99
50-54	3.17	3.55	3.17	3.28
55-59	2.80	3.38	2.85	3.15
60-64	2.61	3.37	2.72	3.27
65-69	2.19	2.94	2.42	2.79
70-74	1.89	2.43	2.09	2.31
75-79	1.51	1.78	1.63	1.72
80-84	0.92	1.02	1.08	1.05
85+	0.77	0.76	1.17	1.00

Age and sex distribution, Western Australia

["Age group (years)","Perth (Males)","Rest of WA (Males)","Perth (Females)","Rest of WA (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[3.02],[3.2599999999999998],[3.2400000000000002],[3.1400000000000001],[3.3399999999999999],[3.7000000000000002],[3.8100000000000001],[3.9199999999999999],[3.5299999999999998],[3.1000000000000001],[3.1699999999999999],[2.7999999999999998],[2.6099999999999999],[2.1899999999999999],[1.8899999999999999],[1.51],[0.92000000000000004],[0.77000000000000002]],[[3.0299999999999998],[3.3999999999999999],[3.4700000000000002],[3.0800000000000001],[2.5299999999999998],[3.0699999999999998],[3.3599999999999999],[3.54],[3.3500000000000001],[3.1800000000000002],[3.5499999999999998],[3.3799999999999999],[3.3700000000000001],[2.9399999999999999],[2.4300000000000002],[1.78],[1.02],[0.76000000000000001]],[[2.8599999999999999],[3.0699999999999998],[3.0600000000000001],[2.9399999999999999],[3.1200000000000001],[3.54],[3.8399999999999999],[3.9100000000000001],[3.52],[3.1099999999999999],[3.1699999999999999],[2.8500000000000001],[2.7200000000000002],[2.4199999999999999],[2.0899999999999999],[1.6299999999999999],[1.0800000000000001],[1.1699999999999999]],[[2.8399999999999999],[3.1899999999999999],[3.27],[2.8799999999999999],[2.21],[2.8599999999999999],[3.3100000000000001],[3.3999999999999999],[3.23],[2.9900000000000002],[3.2799999999999998],[3.1499999999999999],[3.27],[2.79],[2.3100000000000001],[1.72],[1.05],[1]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Tasmania

Tasmania had a lower proportion of people aged 20 to 44 years (31%) than Australia as a whole (35%). This in part reflects young adults pursuing education and employment opportunities interstate.
Tasmania also had a higher proportion of people aged 55 years and over (35%) than Australia (29%). This partly reflects a trend of adults in this age group moving into the state.

Age and sex distribution, Tasmania and Australia

Age and sex distribution, Tasmania and Australia
Age group (years)	Tas. (Males) (%)	Australia (Males) (%)	Tas. (Females) (%)	Australia (Females) (%)
0-4	2.60	2.92	2.44	2.77
5-9	2.83	3.11	2.66	2.94
10-14	3.02	3.20	2.84	3.02
15-19	2.97	3.12	2.74	2.92
20-24	2.74	3.36	2.56	3.13
25-29	3.35	3.66	3.29	3.56
30-34	3.61	3.69	3.53	3.76
35-39	3.22	3.61	3.25	3.67
40-44	2.85	3.31	2.99	3.37
45-49	2.75	2.99	2.86	3.07
50-54	3.12	3.10	3.29	3.20
55-59	3.03	2.81	3.23	2.91
60-64	3.35	2.77	3.54	2.92
65-69	3.03	2.39	3.23	2.59
70-74	2.71	2.08	2.84	2.26
75-79	2.14	1.67	2.29	1.82
80-84	1.28	1.01	1.42	1.18
85+	0.97	0.84	1.44	1.27

Age and sex distribution, Tasmania and Australia

["Age group (years)","Tas. (Males)","Australia (Males)","Tas. (Females)","Australia (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[2.6000000000000001],[2.8300000000000001],[3.02],[2.9700000000000002],[2.7400000000000002],[3.3500000000000001],[3.6099999999999999],[3.2200000000000002],[2.8500000000000001],[2.75],[3.1200000000000001],[3.0299999999999998],[3.3500000000000001],[3.0299999999999998],[2.71],[2.1400000000000001],[1.28],[0.96999999999999997]],[[2.9199999999999999],[3.1099999999999999],[3.2000000000000002],[3.1200000000000001],[3.3599999999999999],[3.6600000000000001],[3.6899999999999999],[3.6099999999999999],[3.3100000000000001],[2.9900000000000002],[3.1000000000000001],[2.8100000000000001],[2.77],[2.3900000000000001],[2.0800000000000001],[1.6699999999999999],[1.01],[0.83999999999999997]],[[2.4399999999999999],[2.6600000000000001],[2.8399999999999999],[2.7400000000000002],[2.5600000000000001],[3.29],[3.5299999999999998],[3.25],[2.9900000000000002],[2.8599999999999999],[3.29],[3.23],[3.54],[3.23],[2.8399999999999999],[2.29],[1.4199999999999999],[1.4399999999999999]],[[2.77],[2.9399999999999999],[3.02],[2.9199999999999999],[3.1299999999999999],[3.5600000000000001],[3.7599999999999998],[3.6699999999999999],[3.3700000000000001],[3.0699999999999998],[3.2000000000000002],[2.9100000000000001],[2.9199999999999999],[2.5899999999999999],[2.2599999999999998],[1.8200000000000001],[1.1799999999999999],[1.27]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":"5","tick_interval":"1","precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":"5","tick_interval":"1","precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Northern Territory

A lower proportion of Greater Darwin's population was under 25 years of age (32%) compared with the rest of the Northern Territory (36%).
Darwin had a higher proportion of people aged 25 years and over (68%) than the rest of the territory (64%).

Age and sex distribution, Northern Territory

Age and sex distribution, Northern Territory
Age group (years)	Darwin (Males) (%)	Rest of NT (Males) (%)	Darwin (Females) (%)	Rest of NT (Females) (%)
0-4	3.40	3.51	3.25	3.34
5-9	3.38	3.88	3.22	3.51
10-14	3.31	3.86	3.14	3.66
15-19	3.07	3.63	2.78	3.36
20-24	3.39	3.82	2.86	3.70
25-29	4.51	4.38	4.59	4.80
30-34	4.86	4.61	4.92	5.02
35-39	4.36	4.13	4.29	4.33
40-44	3.64	3.46	3.69	3.46
45-49	3.22	2.86	3.13	2.95
50-54	3.32	2.98	3.03	3.15
55-59	2.83	2.60	2.61	2.71
60-64	2.55	2.26	2.34	2.35
65-69	1.93	1.69	1.77	1.72
70-74	1.50	1.11	1.40	1.02
75-79	1.04	0.56	0.92	0.59
80-84	0.52	0.34	0.53	0.30
85+	0.31	0.14	0.38	0.22

Age and sex distribution, Northern Territory

["Age group (years)","Darwin (Males)","Rest of NT (Males)","Darwin (Females)","Rest of NT (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[3.3999999999999999],[3.3799999999999999],[3.3100000000000001],[3.0699999999999998],[3.3900000000000001],[4.5099999999999998],[4.8600000000000003],[4.3600000000000003],[3.6400000000000001],[3.2200000000000002],[3.3199999999999998],[2.8300000000000001],[2.5499999999999998],[1.9299999999999999],[1.5],[1.04],[0.52000000000000002],[0.31]],[[3.5099999999999998],[3.8799999999999999],[3.8599999999999999],[3.6299999999999999],[3.8199999999999998],[4.3799999999999999],[4.6100000000000003],[4.1299999999999999],[3.46],[2.8599999999999999],[2.98],[2.6000000000000001],[2.2599999999999998],[1.6899999999999999],[1.1100000000000001],[0.56000000000000005],[0.34000000000000002],[0.14000000000000001]],[[3.25],[3.2200000000000002],[3.1400000000000001],[2.7799999999999998],[2.8599999999999999],[4.5899999999999999],[4.9199999999999999],[4.29],[3.6899999999999999],[3.1299999999999999],[3.0299999999999998],[2.6099999999999999],[2.3399999999999999],[1.77],[1.3999999999999999],[0.92000000000000004],[0.53000000000000003],[0.38]],[[3.3399999999999999],[3.5099999999999998],[3.6600000000000001],[3.3599999999999999],[3.7000000000000002],[4.7999999999999998],[5.0199999999999996],[4.3300000000000001],[3.46],[2.9500000000000002],[3.1499999999999999],[2.71],[2.3500000000000001],[1.72],[1.02],[0.58999999999999997],[0.29999999999999999],[0.22]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Australian Capital Territory

The Australian Capital Territory had a younger age distribution than Australia as a whole, reflecting the number of young adults who move to the territory for education or employment.
People aged 20 to 44 years accounted for 41% of the territory's population, compared with 35% of Australia's population.

Age and sex distribution, Australian Capital Territory and Australia

Age and sex distribution, Australian Capital Territory and Australia
Age group (years)	ACT (Males) (%)	Australia (Males) (%)	ACT (Females) (%)	Australia (Females) (%)
0-4	2.92	2.92	2.74	2.77
5-9	3.14	3.11	2.98	2.94
10-14	3.09	3.20	2.94	3.02
15-19	2.95	3.12	2.73	2.92
20-24	3.97	3.36	3.96	3.13
25-29	4.37	3.66	4.45	3.56
30-34	4.43	3.69	4.44	3.76
35-39	4.00	3.61	4.10	3.67
40-44	3.64	3.31	3.71	3.37
45-49	3.09	2.99	3.10	3.07
50-54	2.95	3.10	3.03	3.20
55-59	2.45	2.81	2.54	2.91
60-64	2.20	2.77	2.39	2.92
65-69	1.81	2.39	2.09	2.59
70-74	1.62	2.08	1.93	2.26
75-79	1.33	1.67	1.56	1.82
80-84	0.77	1.01	0.97	1.18
85+	0.64	0.84	0.97	1.27

Age and sex distribution, Australian Capital Territory and Australia

["Age group (years)","ACT (Males)","Australia (Males)","ACT (Females)","Australia (Females)"]

[["0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"],[[2.9199999999999999],[3.1400000000000001],[3.0899999999999999],[2.9500000000000002],[3.9700000000000002],[4.3700000000000001],[4.4299999999999997],[4],[3.6400000000000001],[3.0899999999999999],[2.9500000000000002],[2.4500000000000002],[2.2000000000000002],[1.8100000000000001],[1.6200000000000001],[1.3300000000000001],[0.77000000000000002],[0.64000000000000001]],[[2.9199999999999999],[3.1099999999999999],[3.2000000000000002],[3.1200000000000001],[3.3599999999999999],[3.6600000000000001],[3.6899999999999999],[3.6099999999999999],[3.3100000000000001],[2.9900000000000002],[3.1000000000000001],[2.8100000000000001],[2.77],[2.3900000000000001],[2.0800000000000001],[1.6699999999999999],[1.01],[0.83999999999999997]],[[2.7400000000000002],[2.98],[2.9399999999999999],[2.73],[3.96],[4.4500000000000002],[4.4400000000000004],[4.0999999999999996],[3.71],[3.1000000000000001],[3.0299999999999998],[2.54],[2.3900000000000001],[2.0899999999999999],[1.9299999999999999],[1.5600000000000001],[0.96999999999999997],[0.96999999999999997]],[[2.77],[2.9399999999999999],[3.02],[2.9199999999999999],[3.1299999999999999],[3.5600000000000001],[3.7599999999999998],[3.6699999999999999],[3.3700000000000001],[3.0699999999999998],[3.2000000000000002],[2.9100000000000001],[2.9199999999999999],[2.5899999999999999],[2.2599999999999998],[1.8200000000000001],[1.1799999999999999],[1.27]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"Males (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Females (%)","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Interactive maps

These maps display the proportion of the population aged 0 to 14 years, 15 to 64 years and 65 years and over for SA2s. Additional data, including median age and sex ratio, can be viewed by clicking on a region of interest. Similar maps for LGAs are available via the Source link below each map.

Population aged 0 to 14 years, SA2s

Source

Regional population by age and sex 2023: Age distribution (includes LGA map)

Population aged 15 to 64 years, SA2s

Source

Regional population by age and sex 2023: Age distribution (includes LGA map)

Population aged 65 years and over, SA2s

Source

Regional population by age and sex 2023: Age distribution (includes LGA map)

Data downloads

Download all (32.8 MB)

Data cubes

Data files

Population estimates by age and sex, by SA2, 2023
Download xlsx [1.21 MB]
Median age, sex ratio and broad age groups, by SA2, 2023
Download xlsx [304.3 KB]
Population estimates by age and sex, by LGA, 2023
Download xlsx [269.63 KB]
Median age, sex ratio and broad age groups, by LGA, 2023
Download xlsx [77.91 KB]
Population estimates by age and sex, by SA2, 2001 to 2023
Download xlsx [27.76 MB]
Population estimates by age and sex, by LGA, 2001 to 2023
Download xlsx [5.29 MB]

GeoPackages

Data files

Population estimates by age and sex, by SA2, 2023, GDA2020
Download zip [48.46 MB]
Population estimates by age and sex, by LGA, 2023, GDA2020
Download zip [38.42 MB]
Population estimates by age and sex, by SA2, 2023, GDA94
Download zip [48.23 MB]
Population estimates by age and sex, by LGA, 2023, GDA94
Download zip [38.27 MB]

Data Explorer datasets

Caution: Data Explorer can be problematic when trying to view and manipulate large datasets, such as SA2-based or LGA geographies released in this product. Please use the Excel data cubes provided above for these datasets.

Data in Data Explorer is currently released after the 11:30am release on the ABS website. Please check the reference period when using Data Explorer.

Population estimates by age and sex, by SA2 and above, 2001 to 2023
Population estimates by age and sex, by LGA, 2001 to 2023
Net internal and overseas migration estimates by age, by SA2 and above, 2021-22 to 2022-23

For information on Data Explorer and how it works, see the Data Explorer user guide.

Previous catalogue number

This release previously used catalogue number 3235.0.

APA

Regional population by age and sex

APA

Key statistics

Capital cities

Age and sex distribution

Age and sex distribution

Median age and sex ratio

Median age and sex ratio by capital city

Regions

Median age

Areas with the youngest median ages

Areas with the oldest median ages

Sex ratio

Areas with the lowest sex ratios

Areas with the highest sex ratios

New South Wales

Age and sex distribution, New South Wales

Age and sex distribution, New South Wales

Median age

Sex ratio

Victoria

Age and sex distribution, Victoria

Age and sex distribution, Victoria

Median age

Sex ratio

Queensland

Age and sex distribution, Queensland

Age and sex distribution, Queensland

Median age

Sex ratio

South Australia

Age and sex distribution, South Australia

Age and sex distribution, South Australia

Median age

Sex ratio

Western Australia

Age and sex distribution, Western Australia

Age and sex distribution, Western Australia

Median age

Sex ratio

Tasmania

Age and sex distribution, Tasmania and Australia

Age and sex distribution, Tasmania and Australia

Median age

Sex ratio

Northern Territory

Age and sex distribution, Northern Territory

Age and sex distribution, Northern Territory

Median age

Sex ratio

Australian Capital Territory

Age and sex distribution, Australian Capital Territory and Australia

Age and sex distribution, Australian Capital Territory and Australia

Median age

Sex ratio

Interactive maps

Population aged 0 to 14 years, SA2s

Population aged 15 to 64 years, SA2s

Population aged 65 years and over, SA2s

Data downloads

Data cubes

Population estimates by age and sex, by SA2, 2023

Median age, sex ratio and broad age groups, by SA2, 2023

Population estimates by age and sex, by LGA, 2023

Median age, sex ratio and broad age groups, by LGA, 2023

Population estimates by age and sex, by SA2, 2001 to 2023

Population estimates by age and sex, by LGA, 2001 to 2023

GeoPackages

Population estimates by age and sex, by SA2, 2023, GDA2020

Population estimates by age and sex, by LGA, 2023, GDA2020

Population estimates by age and sex, by SA2, 2023, GDA94

Population estimates by age and sex, by LGA, 2023, GDA94

Data Explorer datasets

Previous catalogue number

Methodology

Media releases

Darwin the nation’s youngest capital

Do you need more detailed statistics?

Request data