Regional population by age and sex, 2020

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 49 years made up 44% of the combined capital city population, compared with 36% of the population in the rest of Australia.
People aged 50 years and over made up a smaller proportion of the population in capital cities (32%) than in the rest of Australia (39%).
The sex ratio in the combined capital cities was 98.2 males per 100 females, compared with 98.4 for the rest of Australia, indicating a slightly higher share of females in the capitals.

Age and sex distribution
Age group (years)	Capital cities (Males) (%)	Rest of Australia (Males) (%)	Capital cities (Females) (%)	Rest of Australia (Females) (%)
0-4	3.2	3.0	3.0	2.8
5-9	3.3	3.3	3.1	3.1
10-14	3.1	3.4	2.9	3.2
15-19	2.9	3.1	2.8	2.9
20-24	3.7	2.9	3.5	2.7
25-29	4.1	3.0	4.0	2.9
30-34	4.0	3.0	4.1	3.1
35-39	3.8	2.9	3.9	3.1
40-44	3.3	2.8	3.3	2.9
45-49	3.2	3.2	3.3	3.3
50-54	2.9	3.1	3.1	3.2
55-59	2.8	3.3	2.9	3.4
60-64	2.5	3.2	2.7	3.3
65-69	2.1	3.0	2.3	3.0
70-74	1.8	2.7	2.0	2.6
75-79	1.3	1.8	1.4	1.9
80-84	0.8	1.1	1.0	1.3
85+	0.7	0.9	1.2	1.4

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+"],[[3.1800000000000002],[3.25],[3.1099999999999999],[2.9399999999999999],[3.6600000000000001],[4.0899999999999999],[4.0300000000000002],[3.8300000000000001],[3.29],[3.23],[2.9300000000000002],[2.7999999999999998],[2.48],[2.0899999999999999],[1.8400000000000001],[1.26],[0.83999999999999997],[0.73999999999999999]],[[3],[3.25],[3.3599999999999999],[3.0899999999999999],[2.9300000000000002],[3.0099999999999998],[2.98],[2.9300000000000002],[2.8100000000000001],[3.1699999999999999],[3.0600000000000001],[3.29],[3.21],[2.96],[2.6600000000000001],[1.8300000000000001],[1.1399999999999999],[0.92000000000000004]],[[2.9900000000000002],[3.0800000000000001],[2.9300000000000002],[2.77],[3.48],[4.04],[4.1399999999999997],[3.8599999999999999],[3.29],[3.3199999999999998],[3.0699999999999998],[2.9300000000000002],[2.6600000000000001],[2.29],[1.99],[1.4099999999999999],[1.03],[1.1899999999999999]],[[2.8399999999999999],[3.0899999999999999],[3.21],[2.9199999999999999],[2.7400000000000002],[2.9300000000000002],[3.0699999999999998],[3.0800000000000001],[2.9199999999999999],[3.2799999999999998],[3.23],[3.4399999999999999],[3.3399999999999999],[3.02],[2.6400000000000001],[1.9099999999999999],[1.3200000000000001],[1.4099999999999999]]]

[]

[{"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}]

[{"axis_id":"0","tick_interval":"1","axis_min":"0","axis_max":"5","axis_title":"Males (%) ","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":" Females (%)","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","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 34.7 years, followed by Canberra at 35.9.
Hobart was the oldest capital city with a median age of 39.7, ahead of Adelaide at 39.1.
Adelaide had the lowest sex ratio of all capital cities (96.5 males per 100 females), while Darwin had the highest (107.9).

Capital city	Median age (years)	Sex ratio
Sydney	36.3	98.9
Melbourne	36.0	98.0
Brisbane	36.0	97.5
Adelaide	39.1	96.5
Perth	37.1	98.4
Hobart	39.7	99.2
Darwin	34.7	107.9
Canberra	35.9	97.5
Total capital cities	36.5	98.2
Total Australia	37.8	98.3

Regions

Median age

The areas with the youngest median ages were:

Acton (22.8 years) and Duntroon (23.3) in the Australian Capital Territory, which had large populations of students or military personnel
Yarrabah (23.4) and Northern Peninsula (23.9) in Queensland, which had high proportions of Aboriginal and Torres Strait Islander peoples

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

Tea Gardens - Hawks Nest (63.4 years) and Tuncurry (61.1) in New South Wales
Cooloola (61.4) and Bribie Island (61.1) in Queensland

Areas with the youngest median ages

SA2	SA4	Median age (years)
Acton	Australian Capital Territory	22.8
Duntroon	Australian Capital Territory	23.3
Yarrabah	Cairns (Qld)	23.4
Northern Peninsula	Queensland - Outback	23.9
St Lucia	Brisbane - West	25.2

Areas with the oldest median ages

SA2	SA4	Median age (years)
Tea Gardens - Hawks Nest	Hunter Valley exc Newcastle (NSW)	63.4
Cooloola	Wide Bay (Qld)	61.4
Tuncurry	Mid North Coast (NSW)	61.1
Bribie Island	Moreton Bay - North (Qld)	61.1
Goolwa - Port Elliot	South Australia - South East	59.8

Sex ratio

The areas with the lowest sex ratios were:

Woollahra (81.6 males per 100 females) in Sydney and Bowral (83.3) in the Southern Highlands of New South Wales, which both had older age profiles and reflect the longer life expectancy of females
Deakin (81.9) in the Australian Capital Territory which contained a boarding school for girls

The areas with the highest sex ratios were:

Howard Springs (308.8 males per 100 females) in Darwin and Wacol (255.0) in Ipswich, which both contained correctional centres for men
East Pilbara (289.8) and Ashburton (243.6) in Western Australia, which were areas with significant mining activity

Areas with the lowest sex ratios

SA2	SA4	Sex ratio
Woollahra	Sydney - Eastern Suburbs	81.6
Deakin	Australian Capital Territory	81.9
Bowral	Southern Highlands and Shoalhaven (NSW)	83.3
Mosman Park - Peppermint Grove	Perth - Inner	84.2
Millbank - Avoca	Wide Bay (Qld)	84.5

Areas with the highest sex ratios

SA2	SA4	Sex ratio
Howard Springs	Darwin	308.8
East Pilbara	Western Australia - Outback (North)	289.8
Wacol	Ipswich (Qld)	255.0
Ashburton	Western Australia - Outback (North)	243.6
Chidlow	Perth - North East	217.1

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 28% in the rest of the state.
People aged 60 years or over made up 20% of Sydney's population, compared with 28% in the rest of 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	3.2	3.0	3.0	2.8
5-9	3.2	3.2	3.1	3.1
10-14	3.1	3.3	2.9	3.2
15-19	2.9	3.1	2.7	2.9
20-24	3.7	3.0	3.4	2.8
25-29	4.2	2.9	4.2	2.8
30-34	4.2	2.8	4.2	2.9
35-39	4.0	2.8	3.9	2.9
40-44	3.4	2.7	3.3	2.8
45-49	3.2	3.1	3.3	3.2
50-54	2.9	3.0	3.0	3.2
55-59	2.8	3.3	2.9	3.5
60-64	2.5	3.3	2.6	3.5
65-69	2.1	3.1	2.2	3.2
70-74	1.8	2.8	1.9	2.8
75-79	1.2	2.0	1.4	2.1
80-84	0.8	1.2	1.0	1.5
85+	0.8	1.0	1.2	1.6

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+"],[[3.2000000000000002],[3.23],[3.0600000000000001],[2.9199999999999999],[3.6600000000000001],[4.1900000000000004],[4.1500000000000004],[3.9500000000000002],[3.3599999999999999],[3.23],[2.8599999999999999],[2.79],[2.4500000000000002],[2.0499999999999998],[1.79],[1.24],[0.82999999999999996],[0.75]],[[2.98],[3.2200000000000002],[3.3199999999999998],[3.0499999999999998],[2.9500000000000002],[2.9199999999999999],[2.8399999999999999],[2.79],[2.7000000000000002],[3.1000000000000001],[2.96],[3.29],[3.2799999999999998],[3.0499999999999998],[2.7799999999999998],[1.95],[1.24],[1.03]],[[3],[3.0499999999999998],[2.8799999999999999],[2.71],[3.4199999999999999],[4.1500000000000004],[4.2300000000000004],[3.9300000000000002],[3.3199999999999998],[3.2999999999999998],[2.9900000000000002],[2.9100000000000001],[2.6299999999999999],[2.23],[1.9299999999999999],[1.3700000000000001],[1.02],[1.2]],[[2.8199999999999998],[3.0499999999999998],[3.1899999999999999],[2.8900000000000001],[2.7599999999999998],[2.7999999999999998],[2.9199999999999999],[2.9199999999999999],[2.8199999999999998],[3.21],[3.1600000000000001],[3.46],[3.4500000000000002],[3.1600000000000001],[2.7799999999999998],[2.0699999999999998],[1.47],[1.6200000000000001]]]

[]

[{"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}]

[{"axis_id":"0","tick_interval":"1","axis_min":"0","axis_max":"5","axis_title":"Males (%) ","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":" Females (%)","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","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 50 years and over in Melbourne (31%) than in the rest of Victoria (41%).

Age and sex distribution, Victoria
Age group (years)	Melbourne (Males) (%)	Rest of Vic. (Males) (%)	Melbourne (Females) (%)	Rest of Vic. (Females) (%)
0-4	3.1	3.0	3.0	2.8
5-9	3.2	3.2	3.0	3.0
10-14	3.0	3.3	2.8	3.1
15-19	2.9	3.0	2.7	2.9
20-24	3.8	3.0	3.6	2.7
25-29	4.4	3.0	4.3	2.9
30-34	4.3	2.9	4.4	3.0
35-39	3.9	2.8	4.0	3.0
40-44	3.3	2.7	3.3	2.8
45-49	3.2	3.1	3.3	3.2
50-54	2.9	3.1	3.1	3.2
55-59	2.7	3.3	2.9	3.5
60-64	2.4	3.3	2.6	3.5
65-69	2.0	3.1	2.2	3.2
70-74	1.7	2.8	1.9	2.8
75-79	1.2	1.9	1.4	2.0
80-84	0.8	1.2	1.0	1.4
85+	0.8	1.0	1.2	1.6

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+"],[[3.1299999999999999],[3.2000000000000002],[2.98],[2.8500000000000001],[3.8399999999999999],[4.3700000000000001],[4.25],[3.9300000000000002],[3.2999999999999998],[3.1699999999999999],[2.8799999999999999],[2.6899999999999999],[2.3900000000000001],[1.99],[1.74],[1.21],[0.82999999999999996],[0.75]],[[2.9500000000000002],[3.1899999999999999],[3.27],[3.0299999999999998],[3.0299999999999998],[3.0299999999999998],[2.8500000000000001],[2.77],[2.7200000000000002],[3.0600000000000001],[3.0499999999999998],[3.2799999999999998],[3.3100000000000001],[3.1299999999999999],[2.79],[1.8899999999999999],[1.1899999999999999],[1]],[[2.9500000000000002],[3.0299999999999998],[2.8300000000000001],[2.71],[3.5899999999999999],[4.25],[4.3600000000000003],[3.96],[3.29],[3.3100000000000001],[3.0600000000000001],[2.8500000000000001],[2.5800000000000001],[2.21],[1.9199999999999999],[1.3799999999999999],[1.04],[1.1899999999999999]],[[2.7999999999999998],[3],[3.0699999999999998],[2.8500000000000001],[2.7200000000000002],[2.8500000000000001],[2.9700000000000002],[2.98],[2.8300000000000001],[3.21],[3.23],[3.5],[3.48],[3.21],[2.7999999999999998],[1.98],[1.3999999999999999],[1.5600000000000001]]]

[]

[{"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}]

[{"axis_id":"0","tick_interval":"1","axis_min":"0","axis_max":"5","axis_title":"Male (%) ","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":" Females (%)","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","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 50 years and over (31%) than the rest of the state (37%).

Age and sex distribution, Queensland
Age group (years)	Brisbane (Males) (%)	Rest of Qld (Males) (%)	Brisbane (Females) (%)	Rest of Qld (Females) (%)
0-4	3.2	3.0	3.1	2.9
5-9	3.4	3.3	3.2	3.2
10-14	3.4	3.5	3.2	3.3
15-19	3.1	3.2	3.0	3.0
20-24	3.6	3.0	3.6	2.9
25-29	4.0	3.2	4.0	3.2
30-34	3.8	3.1	3.9	3.2
35-39	3.6	3.1	3.7	3.3
40-44	3.2	2.9	3.3	3.1
45-49	3.3	3.3	3.4	3.4
50-54	3.0	3.1	3.1	3.3
55-59	2.8	3.2	2.9	3.4
60-64	2.4	3.0	2.6	3.1
65-69	2.1	2.7	2.3	2.8
70-74	1.8	2.5	2.0	2.4
75-79	1.2	1.7	1.4	1.8
80-84	0.8	1.0	0.9	1.2
85+	0.6	0.8	1.0	1.2

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+"],[[3.21],[3.4100000000000001],[3.3900000000000001],[3.1200000000000001],[3.6299999999999999],[3.98],[3.7799999999999998],[3.6299999999999999],[3.2200000000000002],[3.3199999999999998],[2.9500000000000002],[2.79],[2.4399999999999999],[2.0499999999999998],[1.8300000000000001],[1.24],[0.77000000000000002],[0.60999999999999999]],[[3.04],[3.3100000000000001],[3.46],[3.2000000000000002],[2.96],[3.1499999999999999],[3.0800000000000001],[3.0600000000000001],[2.9199999999999999],[3.27],[3.0699999999999998],[3.1800000000000002],[2.9900000000000002],[2.73],[2.48],[1.7],[1.03],[0.81000000000000005]],[[3.0499999999999998],[3.2400000000000002],[3.1899999999999999],[2.98],[3.6299999999999999],[4.0199999999999996],[3.9300000000000002],[3.73],[3.3300000000000001],[3.4300000000000002],[3.1200000000000001],[2.9199999999999999],[2.5699999999999998],[2.25],[1.97],[1.3500000000000001],[0.91000000000000003],[1.02]],[[2.8599999999999999],[3.1600000000000001],[3.29],[3.0299999999999998],[2.8799999999999999],[3.1800000000000002],[3.2400000000000002],[3.27],[3.1000000000000001],[3.4300000000000002],[3.27],[3.3599999999999999],[3.1299999999999999],[2.77],[2.4399999999999999],[1.76],[1.1699999999999999],[1.2]]]

[]

[{"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}]

[{"axis_id":"0","tick_interval":"1","axis_min":"0","axis_max":"5","axis_title":"Males (%) ","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":" Females (%)","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","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 34% 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.

Age and sex distribution, South Australia
Age group (years)	Adelaide (Males) (%)	Rest of SA (Males) (%)	Adelaide (Females) (%)	Rest of SA (Females) (%)
0-4	2.9	2.7	2.7	2.6
5-9	3.1	3.1	2.9	2.9
10-14	3.0	3.1	2.9	3.1
15-19	2.9	3.0	2.8	2.8
20-24	3.5	2.7	3.4	2.4
25-29	3.6	2.6	3.5	2.5
30-34	3.5	2.8	3.6	2.8
35-39	3.4	2.8	3.5	2.7
40-44	3.1	2.6	3.1	2.6
45-49	3.2	3.1	3.2	3.1
50-54	3.1	3.2	3.2	3.3
55-59	3.0	3.6	3.2	3.6
60-64	2.8	3.7	3.1	3.6
65-69	2.4	3.5	2.7	3.5
70-74	2.2	3.2	2.4	3.1
75-79	1.5	2.2	1.8	2.3
80-84	1.0	1.4	1.3	1.5
85+	1.0	1.1	1.6	1.6

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+"],[[2.9199999999999999],[3.0800000000000001],[3.02],[2.9300000000000002],[3.52],[3.5699999999999998],[3.46],[3.3900000000000001],[3.0499999999999998],[3.1699999999999999],[3.0699999999999998],[3.04],[2.7799999999999998],[2.4300000000000002],[2.2000000000000002],[1.49],[1.02],[0.95999999999999996]],[[2.6600000000000001],[3.0499999999999998],[3.1400000000000001],[3],[2.6899999999999999],[2.5699999999999998],[2.7999999999999998],[2.75],[2.5800000000000001],[3.0499999999999998],[3.21],[3.6200000000000001],[3.6699999999999999],[3.5299999999999998],[3.2000000000000002],[2.2200000000000002],[1.3500000000000001],[1.1200000000000001]],[[2.7200000000000002],[2.9300000000000002],[2.8700000000000001],[2.7999999999999998],[3.3500000000000001],[3.54],[3.5699999999999998],[3.48],[3.0899999999999999],[3.23],[3.21],[3.21],[3.0499999999999998],[2.7200000000000002],[2.4399999999999999],[1.75],[1.3100000000000001],[1.6100000000000001]],[[2.5899999999999999],[2.8799999999999999],[3.0499999999999998],[2.8399999999999999],[2.3799999999999999],[2.4700000000000002],[2.75],[2.7000000000000002],[2.6000000000000001],[3.0499999999999998],[3.25],[3.6400000000000001],[3.6400000000000001],[3.46],[3.1099999999999999],[2.27],[1.51],[1.6000000000000001]]]

[]

[{"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}]

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

Median age

Sex ratio

Western Australia

The proportion of the population aged less than 20 years in Greater Perth (25%) was similar to that in the rest of Western Australia (26%).
Perth had a higher proportion of its population aged 20 to 39 years (29%) than the rest of the state (24%). This is consistent with young adults moving to the capital city for employment or education purposes.

Age and sex distribution, Western Australia
Age group (years)	Perth (Males) (%)	Rest of WA (Males) (%)	Perth (Females) (%)	Rest of WA (Females) (%)
0-4	3.3	3.3	3.1	3.2
5-9	3.3	3.5	3.2	3.4
10-14	3.2	3.4	3.0	3.5
15-19	3.0	3.0	2.8	2.9
20-24	3.4	2.5	3.3	2.3
25-29	3.7	2.8	3.6	2.7
30-34	3.9	3.5	4.0	3.4
35-39	3.8	3.6	3.8	3.4
40-44	3.3	3.3	3.3	3.1
45-49	3.3	3.6	3.3	3.3
50-54	3.1	3.5	3.2	3.3
55-59	2.9	3.5	3.0	3.3
60-64	2.6	3.3	2.7	3.2
65-69	2.2	2.8	2.4	2.7
70-74	1.9	2.3	2.0	2.1
75-79	1.3	1.5	1.4	1.5
80-84	0.9	0.9	1.1	1.0
85+	0.7	0.7	1.2	1.0

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+"],[[3.3199999999999998],[3.3199999999999998],[3.23],[2.9700000000000002],[3.3900000000000001],[3.6699999999999999],[3.8599999999999999],[3.75],[3.27],[3.2799999999999998],[3.0600000000000001],[2.8900000000000001],[2.5600000000000001],[2.21],[1.9299999999999999],[1.3],[0.84999999999999998],[0.70999999999999996]],[[3.3100000000000001],[3.5099999999999998],[3.4399999999999999],[3],[2.4900000000000002],[2.8100000000000001],[3.5299999999999998],[3.5899999999999999],[3.3300000000000001],[3.5899999999999999],[3.46],[3.5099999999999998],[3.3100000000000001],[2.7799999999999998],[2.29],[1.47],[0.88],[0.65000000000000002]],[[3.1200000000000001],[3.1800000000000002],[3.04],[2.8300000000000001],[3.25],[3.6299999999999999],[3.9900000000000002],[3.7999999999999998],[3.2799999999999998],[3.3399999999999999],[3.1499999999999999],[3.0099999999999998],[2.7400000000000002],[2.3900000000000001],[2.04],[1.4199999999999999],[1.05],[1.1499999999999999]],[[3.1499999999999999],[3.3700000000000001],[3.4700000000000002],[2.8900000000000001],[2.25],[2.6899999999999999],[3.3799999999999999],[3.4300000000000002],[3.1400000000000001],[3.3199999999999998],[3.2799999999999998],[3.3300000000000001],[3.1499999999999999],[2.7000000000000002],[2.1299999999999999],[1.45],[0.97999999999999998],[0.94999999999999996]]]

[]

[{"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}]

[{"axis_id":"0","tick_interval":"1","axis_min":"0","axis_max":"5","axis_title":"Male (%) ","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":" Female (%)","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","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 (30%) than Australia (35%) as a whole. This in part reflects young adults pursuing education and employment opportunities interstate.
Tasmania also had a higher proportion of people aged 50 years and over (41%) than Australia (34%). This partly reflects a trend of adults in this age group moving into the state.

Age and sex distribution, Tasmania and Australia
Age group (years)	Tas. (Males) (%)	Australia (Males) (%)	Tas. (Females) (%)	Australia (Females) (%)
0-4	2.8	3.1	2.6	2.9
5-9	3.0	3.3	2.9	3.1
10-14	3.2	3.2	3.0	3.0
15-19	3.0	3.0	2.8	2.8
20-24	3.1	3.4	2.8	3.2
25-29	3.2	3.7	3.1	3.7
30-34	3.1	3.7	3.1	3.8
35-39	2.9	3.5	3.1	3.6
40-44	2.7	3.1	2.9	3.2
45-49	3.1	3.2	3.3	3.3
50-54	3.1	3.0	3.3	3.1
55-59	3.4	3.0	3.6	3.1
60-64	3.4	2.7	3.5	2.9
65-69	3.0	2.4	3.2	2.5
70-74	2.7	2.1	2.8	2.2
75-79	1.9	1.4	2.0	1.6
80-84	1.2	0.9	1.4	1.1
85+	0.9	0.8	1.4	1.3

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+"],[[2.7799999999999998],[3.0099999999999998],[3.1899999999999999],[2.9700000000000002],[3.0600000000000001],[3.2000000000000002],[3.0699999999999998],[2.8799999999999999],[2.71],[3.0600000000000001],[3.0699999999999998],[3.3799999999999999],[3.3799999999999999],[3.04],[2.73],[1.8500000000000001],[1.1599999999999999],[0.92000000000000004]],[[3.1200000000000001],[3.25],[3.1899999999999999],[2.9900000000000002],[3.4199999999999999],[3.7400000000000002],[3.6899999999999999],[3.54],[3.1299999999999999],[3.21],[2.9700000000000002],[2.96],[2.71],[2.3700000000000001],[2.1000000000000001],[1.4399999999999999],[0.93000000000000005],[0.79000000000000004]],[[2.6299999999999999],[2.8500000000000001],[2.9700000000000002],[2.77],[2.79],[3.1099999999999999],[3.1000000000000001],[3.0499999999999998],[2.8500000000000001],[3.27],[3.2799999999999998],[3.5800000000000001],[3.5099999999999998],[3.1800000000000002],[2.8399999999999999],[1.98],[1.3600000000000001],[1.4199999999999999]],[[2.9399999999999999],[3.0899999999999999],[3.02],[2.8199999999999998],[3.2400000000000002],[3.6800000000000002],[3.79],[3.6000000000000001],[3.1699999999999999],[3.3100000000000001],[3.1200000000000001],[3.1000000000000001],[2.8799999999999999],[2.5299999999999998],[2.2000000000000002],[1.5700000000000001],[1.1200000000000001],[1.26]]]

[]

[{"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}]

[{"axis_id":"0","tick_interval":"1","axis_min":"0","axis_max":"4","axis_title":"Males (%) ","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":" Females (%)","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Median age

Sex ratio

Northern Territory

The Northern Territory had a higher proportion of people aged under 25 years (34%) than Australia (31%) as a whole, indicating a younger population in the territory.
A lower proportion of Greater Darwin's population was under 25 years of age (32%) compared with the rest of the Northern Territory (38%).

Age and sex distribution, Northern Territory
Age group (years)	Darwin (Males) (%)	Rest of NT (Males) (%)	Darwin (Females) (%)	Rest of NT (Females) (%)
0-4	3.6	3.9	3.4	3.5
5-9	3.4	4.2	3.2	3.9
10-14	3.2	4.0	3.0	3.8
15-19	2.9	3.8	2.7	3.3
20-24	3.2	3.7	3.0	3.4
25-29	4.6	4.4	4.3	4.6
30-34	5.1	4.5	4.9	4.7
35-39	4.4	3.9	4.2	4.0
40-44	3.8	3.1	3.6	3.3
45-49	3.7	3.2	3.3	3.2
50-54	3.3	3.0	3.1	3.2
55-59	3.2	2.7	2.8	2.8
60-64	2.5	2.3	2.3	2.3
65-69	1.9	1.6	1.8	1.6
70-74	1.5	1.1	1.2	0.9
75-79	0.9	0.6	0.7	0.5
80-84	0.4	0.3	0.4	0.3
85+	0.2	0.2	0.3	0.3

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+"],[[3.6400000000000001],[3.3900000000000001],[3.2400000000000002],[2.8500000000000001],[3.21],[4.6100000000000003],[5.1200000000000001],[4.4299999999999997],[3.8399999999999999],[3.6699999999999999],[3.2999999999999998],[3.1800000000000002],[2.5299999999999998],[1.9399999999999999],[1.5],[0.84999999999999998],[0.40000000000000002],[0.22]],[[3.9199999999999999],[4.2000000000000002],[4.0199999999999996],[3.77],[3.7000000000000002],[4.4199999999999999],[4.5199999999999996],[3.8900000000000001],[3.0899999999999999],[3.1600000000000001],[3],[2.7200000000000002],[2.25],[1.6399999999999999],[1.0800000000000001],[0.59999999999999998],[0.29999999999999999],[0.14999999999999999]],[[3.4199999999999999],[3.23],[3.0099999999999998],[2.6600000000000001],[2.98],[4.29],[4.9100000000000001],[4.21],[3.6000000000000001],[3.25],[3.0600000000000001],[2.7999999999999998],[2.25],[1.79],[1.2],[0.72999999999999998],[0.40000000000000002],[0.29999999999999999]],[[3.5299999999999998],[3.9399999999999999],[3.8300000000000001],[3.3199999999999998],[3.3599999999999999],[4.6100000000000003],[4.6600000000000001],[3.9900000000000002],[3.2799999999999998],[3.1800000000000002],[3.2000000000000002],[2.77],[2.3199999999999998],[1.55],[0.92000000000000004],[0.53000000000000003],[0.28999999999999998],[0.26000000000000001]]]

[]

[{"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}]

[{"axis_id":"0","tick_interval":"2","axis_min":"0","axis_max":"6","axis_title":"Males (%) ","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":" Females (%)","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","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 39 years accounted for 32% of the territory's population, compared with 29% of Australia's population.

Age and sex distribution, Australian Capital Territory and Australia
Age group (years)	ACT (Males) (%)	Australia (Males) (%)	ACT (Females) (%)	Australia (Females) (%)
0-4	3.3	3.1	3.1	2.9
5-9	3.5	3.3	3.2	3.1
10-14	3.1	3.2	2.9	3.0
15-19	2.8	3.0	2.7	2.8
20-24	3.8	3.4	3.8	3.2
25-29	3.9	3.7	4.0	3.7
30-34	4.0	3.7	4.3	3.8
35-39	4.1	3.5	4.1	3.6
40-44	3.5	3.1	3.5	3.2
45-49	3.4	3.2	3.4	3.3
50-54	2.9	3.0	3.0	3.1
55-59	2.7	3.0	2.8	3.1
60-64	2.3	2.7	2.5	2.9
65-69	1.9	2.4	2.2	2.5
70-74	1.8	2.1	1.9	2.2
75-79	1.1	1.4	1.3	1.6
80-84	0.7	0.9	0.9	1.1
85+	0.6	0.8	0.9	1.3

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+"],[[3.3100000000000001],[3.4700000000000002],[3.1400000000000001],[2.8399999999999999],[3.77],[3.8700000000000001],[4.0300000000000002],[4.0599999999999996],[3.5099999999999998],[3.3500000000000001],[2.9300000000000002],[2.6600000000000001],[2.2799999999999998],[1.9299999999999999],[1.77],[1.1100000000000001],[0.72999999999999998],[0.60999999999999999]],[[3.1200000000000001],[3.25],[3.1899999999999999],[2.9900000000000002],[3.4199999999999999],[3.7400000000000002],[3.6899999999999999],[3.54],[3.1299999999999999],[3.21],[2.9700000000000002],[2.96],[2.71],[2.3700000000000001],[2.1000000000000001],[1.4399999999999999],[0.93000000000000005],[0.79000000000000004]],[[3.1400000000000001],[3.23],[2.8900000000000001],[2.6899999999999999],[3.79],[4.0099999999999998],[4.2599999999999998],[4.1399999999999997],[3.4900000000000002],[3.3999999999999999],[3],[2.8300000000000001],[2.5299999999999998],[2.1899999999999999],[1.9299999999999999],[1.3100000000000001],[0.89000000000000001],[0.92000000000000004]],[[2.9399999999999999],[3.0899999999999999],[3.02],[2.8199999999999998],[3.2400000000000002],[3.6800000000000002],[3.79],[3.6000000000000001],[3.1699999999999999],[3.3100000000000001],[3.1200000000000001],[3.1000000000000001],[2.8799999999999999],[2.5299999999999998],[2.2000000000000002],[1.5700000000000001],[1.1200000000000001],[1.26]]]

[]

[{"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}]

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

Median age

Sex ratio

Interactive maps

Regional population by age - interactive maps

These maps display the proportion of the population aged 0-14, 15-64 and 65+ for SA2s and LGAs.

Data downloads

Data cubes

Population estimates by age and sex, by SA2, 2020

Data files

Download xls [2.03 MB]

Population estimates by age and sex - summary statistics, by SA2 and above, 2020

Includes sex ratio, median age and proportion of population aged 0-14, 15-64 and 65+ for SA2s and above.

Data files

Download xls [698.5 KB]

Population estimates by age and sex, by LGA, 2020

Data files

Download xls [418 KB]

Population estimates by age and sex - summary statistics, by LGA, 2020

Includes sex ratio, median age and proportion of population aged 0-14, 15-64 and 65+ for LGAs.

Data files

Download xls [186 KB]

Population estimates by age, by selected geographies, 2020

Includes population estimates by selected age groupings for SA2s, LGAs, Postal Areas and Primary Health Networks. Added 03/09/2021.

Data files

Download xls [1.38 MB]

Geopackages

Population estimates by age and sex, by SA2, 2020, in GeoPackage

Data files

Download zip [22.32 MB]

Population estimates by age and sex, by LGA, 2020, in GeoPackage

Data files

Download zip [38.48 MB]

ABS.Stat datasets

Help for ABS.Stat Datasets

Population estimates by age and sex, by SA2 and above, 2001 to 2020

Population estimates by age and sex, by LGA, 2001 to 2020

Net internal and overseas migration estimates by age, by SA2 and above, 2016-17 to 2019-20

Post-release changes

03/09/2021 - A data cube containing additional age breakdowns for SA2s, LGAs, Postal Areas and Primary Health Networks has been added. Interactive maps have also been added.

Previous catalogue number

This release previously used catalogue number 3235.0.

APA

Regional population by age and sex

APA

Key statistics

Capital cities

Median age and sex ratio

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

Median age

Sex ratio

Victoria

Median age

Sex ratio

Queensland

Median age

Sex ratio

South Australia

Median age

Sex ratio

Western Australia

Median age

Sex ratio

Tasmania

Median age

Sex ratio

Northern Territory

Median age

Sex ratio

Australian Capital Territory

Median age

Sex ratio

Interactive maps

Data downloads

Data cubes

Population estimates by age and sex, by SA2, 2020

Population estimates by age and sex - summary statistics, by SA2 and above, 2020

Population estimates by age and sex, by LGA, 2020

Population estimates by age and sex - summary statistics, by LGA, 2020

Population estimates by age, by selected geographies, 2020

Geopackages

Population estimates by age and sex, by SA2, 2020, in GeoPackage

Population estimates by age and sex, by LGA, 2020, in GeoPackage

ABS.Stat datasets

Post-release changes

Previous catalogue number

Methodology

Do you need more detailed statistics?

Request data

Microdata and TableBuilder