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Mascot vs Newtown
Statistical Area 2 (SA2) comparison ≈ 3.2 km apart · Mascot profile · Newtown profile
Mascot Newtown
Mascot and Newtown (NSW) are neighbouring areas with very different social make-ups. Mascot is far more multicultural, with 59.8% of people born overseas and 56.1% using a language other than English at home. In contrast, Newtown (NSW) has a much higher share of people with no religion (66.0%) and more adults with a bachelor degree or higher (54.6%). Newtown (NSW) also has more high earners, with 26.6% of people making $2,000 or more a week, compared to 14.4% in Mascot.
Both areas have almost identical rates of home renting, with about 57% of households renting. They also share a similar typical weekly household income, which sits around $2,300. While they are alike in these ways, Newtown (NSW) is more car-independent, as 31.7% of homes have no motor vehicle compared to 20.1% in Mascot. This is consistent with Newtown (NSW) having more frequent public transport and more walkable amenities for its residents.
Where they differ most
Demographics & Identity
Age structure
49.4%
Young adults (25–44)
◂ +3.4 pts
46.0%
14.7%
Older adults (45–64)
+8.5 pts ▸
23.2%
16.6%
Youth (15–24)
◂ +3.5 pts
13.1%
11.7%
Children (0–14)
◂ +2.1 pts
9.6%
7.5%
Seniors (65+)
+0.5 pts ▸
8.0%
Marital status
54.5%
Never married
+11.7 pts ▸
66.2%
36.3%
Married
◂ +13.4 pts
22.9%
5.1%
Divorced
+2.0 pts ▸
7.1%
2.3%
Widowed
◂ +0.7 pts
1.6%
1.8%
Separated
+0.3 pts ▸
2.2%
Age & sex structure
Mascot
Newtown
Bars show the share of each area's own population, so differently sized areas stay comparable.
- 85+ in Mascot: 0.4% males, 0.5% females; 85+ in Newtown: 0.2% males, 0.4% females
- 80–84 in Mascot: 0.5% males, 0.6% females; 80–84 in Newtown: 0.3% males, 0.5% females
- 75–79 in Mascot: 0.6% males, 0.8% females; 75–79 in Newtown: 0.6% males, 0.6% females
- 70–74 in Mascot: 0.9% males, 0.8% females; 70–74 in Newtown: 1.2% males, 1.1% females
- 65–69 in Mascot: 1.2% males, 1.3% females; 65–69 in Newtown: 1.5% males, 1.6% females
- 60–64 in Mascot: 1.5% males, 1.5% females; 60–64 in Newtown: 2.5% males, 1.7% females
- 55–59 in Mascot: 1.7% males, 1.8% females; 55–59 in Newtown: 3.0% males, 2.5% females
- 50–54 in Mascot: 2.0% males, 1.8% females; 50–54 in Newtown: 3.5% males, 2.9% females
- 45–49 in Mascot: 2.2% males, 2.3% females; 45–49 in Newtown: 3.7% males, 3.4% females
- 40–44 in Mascot: 3.0% males, 2.7% females; 40–44 in Newtown: 4.0% males, 3.4% females
- 35–39 in Mascot: 5.0% males, 4.3% females; 35–39 in Newtown: 5.4% males, 4.5% females
- 30–34 in Mascot: 8.2% males, 7.1% females; 30–34 in Newtown: 7.1% males, 6.7% females
- 25–29 in Mascot: 9.6% males, 9.4% females; 25–29 in Newtown: 7.3% males, 7.7% females
- 20–24 in Mascot: 6.8% males, 6.5% females; 20–24 in Newtown: 4.2% males, 5.6% females
- 15–19 in Mascot: 1.6% males, 1.6% females; 15–19 in Newtown: 1.4% males, 1.8% females
- 10–14 in Mascot: 1.5% males, 1.3% females; 10–14 in Newtown: 1.6% males, 1.7% females
- 5–9 in Mascot: 1.9% males, 1.8% females; 5–9 in Newtown: 1.4% males, 1.5% females
- 0–4 in Mascot: 2.8% males, 2.5% females; 0–4 in Newtown: 1.9% males, 1.6% females
Ancestry & Birthplace
Country of birth
35.1%
Australia
+29.5 pts ▸
64.6%
11.4%
China
◂ +9.8 pts
1.5%
2.1%
England
+3.5 pts ▸
5.6%
1.4%
New Zealand
+1.3 pts ▸
2.7%
2.5%
India
◂ +1.8 pts
0.7%
2.2%
Philippines
◂ +1.5 pts
0.7%
1.4%
Vietnam
◂ +0.6 pts
0.8%
0.7%
Italy
◂ +0.1 pts
0.6%
0.3%
South Africa
+0.3 pts ▸
0.6%
0.4%
Nepal
◂ +0.3 pts
0.1%
Ancestry
13.1%
English
+21.6 pts ▸
34.7%
11.2%
Australian
+15.8 pts ▸
27.0%
26.7%
Chinese
◂ +20.6 pts
6.0%
7.0%
Irish
+9.5 pts ▸
16.4%
3.0%
Scottish
+8.4 pts ▸
11.3%
1.5%
German
+3.3 pts ▸
4.7%
3.3%
Italian
+1.0 pts ▸
4.3%
3.9%
Greek
◂ +1.2 pts
2.7%
3.1%
Indian
◂ +1.5 pts
1.7%
2.9%
Filipino
◂ +1.5 pts
1.3%
0.5%
Dutch
+1.5 pts ▸
2.0%
1.7%
Vietnamese
◂ +0.4 pts
1.3%
Language
Language used at home
37.9%
English only
+40.2 pts ▸
78.2%
12.5%
Mandarin
◂ +10.7 pts
1.8%
4.2%
Cantonese
◂ +3.1 pts
1.1%
2.7%
Greek
◂ +1.4 pts
1.4%
1.5%
Vietnamese
◂ +0.6 pts
0.9%
1.2%
Hindi
◂ +0.9 pts
0.3%
1.2%
Arabic
◂ +0.6 pts
0.5%
0.8%
Tagalog
◂ +0.6 pts
0.2%
0.8%
Italian
◂ +0.1 pts
0.7%
0.2%
Punjabi
◂ +0.2 pts
0.0%
Religion
Religious affiliation
35.1%
No religion
+30.9 pts ▸
66.0%
40.8%
Christianity
◂ +19.4 pts
21.4%
8.5%
Buddhism
◂ +5.7 pts
2.8%
6.7%
Not stated
◂ +0.3 pts
6.4%
4.4%
Islam
◂ +3.4 pts
1.0%
3.3%
Hinduism
◂ +2.6 pts
0.7%
0.6%
Judaism
+0.4 pts ▸
1.0%
0.6%
Other religions
+0.2 pts ▸
0.7%
Education & Qualifications
Highest year of school
77.1%
Year 12
+5.5 pts ▸
82.7%
7.5%
Year 10
◂ +1.2 pts
6.3%
4.9%
Year 9 or below
◂ +2.1 pts
2.8%
4.0%
Year 11
◂ +1.1 pts
2.9%
Highest qualification level
38.3%
Bachelor degree
+6.1 pts ▸
44.5%
17.8%
Postgraduate degree
+2.9 pts ▸
20.7%
15.4%
Advanced diploma / diploma
◂ +4.8 pts
10.7%
11.9%
Certificate III / IV
◂ +3.1 pts
8.9%
2.0%
Graduate diploma / certificate
+2.6 pts ▸
4.7%
0.8%
Certificate I / II
even
0.8%
Field of qualification
32.4%
Management & commerce
◂ +14.7 pts
17.7%
9.7%
Society & culture
+9.9 pts ▸
19.6%
4.8%
Creative arts
+11.1 pts ▸
15.9%
12.2%
Engineering & related
◂ +6.0 pts
6.1%
5.6%
Health
+2.7 pts ▸
8.3%
6.7%
Information technology
◂ +3.1 pts
3.7%
5.5%
Food, hospitality & personal services
◂ +2.6 pts
2.9%
2.8%
Natural & physical sciences
+2.2 pts ▸
5.0%
3.4%
Education
+1.6 pts ▸
5.0%
3.9%
Architecture & building
+0.4 pts ▸
4.3%
0.7%
Agriculture & environment
+0.4 pts ▸
1.1%
Income
Household income distribution
33.4%
$1,500–$2,999
◂ +5.1 pts
28.3%
16.7%
$4,000 or more
+8.3 pts ▸
25.0%
18.3%
$650–$1,499
◂ +0.4 pts
17.9%
14.7%
$3,000–$3,999
◂ +2.4 pts
12.4%
11.0%
Under $650
+0.3 pts ▸
11.3%
Personal income distribution
35.3%
$650–$1,499
◂ +6.6 pts
28.7%
30.8%
Under $650
◂ +6.1 pts
24.6%
22.3%
$1,500–$2,999
+7.2 pts ▸
29.5%
4.8%
$3,000 or more
+6.9 pts ▸
11.7%
Health & Disability
Long-term health conditions reported
4.3%
Mental health
+10.1 pts ▸
14.3%
4.9%
Other condition
+4.0 pts ▸
9.0%
4.7%
Asthma
+4.2 pts ▸
8.9%
3.1%
Arthritis
+1.7 pts ▸
4.8%
2.8%
Diabetes
◂ +0.6 pts
2.1%
1.3%
Cancer
+1.0 pts ▸
2.2%
1.4%
Heart disease
+0.6 pts ▸
2.0%
0.5%
Lung condition
+0.4 pts ▸
0.9%
0.4%
Stroke
+0.2 pts ▸
0.5%
0.3%
Dementia
◂ +0.1 pts
0.2%
Number of long-term health conditions
78.4%
None
◂ +13.2 pts
65.2%
11.1%
One condition
+10.6 pts ▸
21.7%
2.5%
Two conditions
+2.4 pts ▸
4.9%
0.9%
Three or more
+0.6 pts ▸
1.5%
Community Participation
First Nations
Family & Households
Family composition
49.3%
Couples with children
◂ +5.4 pts
43.8%
37.7%
Couples without children
+7.3 pts ▸
45.0%
9.6%
One-parent families
◂ +0.3 pts
9.3%
3.4%
Other families
◂ +1.6 pts
1.8%
Household size
38.3%
2 people
◂ +1.8 pts
36.5%
21.7%
1 person
+14.9 pts ▸
36.6%
19.1%
3 people
◂ +4.2 pts
14.9%
12.9%
4 people
◂ +3.3 pts
9.6%
4.8%
5 people
◂ +2.8 pts
2.0%
3.1%
6 or more
◂ +2.6 pts
0.5%
Housing & Dwellings
How homes are owned or rented
56.7%
Rented
+0.9 pts ▸
57.7%
24.4%
Owned with a mortgage
◂ +0.9 pts
23.5%
16.2%
Owned outright
+0.9 pts ▸
17.1%
1.4%
Not stated
◂ +0.6 pts
0.8%
1.2%
Other tenure
◂ +0.2 pts
1.1%
Types of homes
74.4%
Flat or apartment
◂ +34.6 pts
39.7%
3.9%
Townhouse / semi-detached
+48.1 pts ▸
52.0%
21.0%
Separate house
◂ +16.0 pts
5.0%
0.4%
Other dwelling
+2.4 pts ▸
2.8%
Bedrooms per home
45.7%
2 bedrooms
◂ +9.8 pts
35.8%
25.9%
3 bedrooms
◂ +0.7 pts
25.2%
17.8%
1 bedroom
+3.8 pts ▸
21.6%
6.6%
4 bedrooms
+1.1 pts ▸
7.7%
0.2%
Studio / none
+6.6 pts ▸
6.8%
2.4%
5 or more
◂ +0.7 pts
1.7%
Weekly rent distribution
48.5%
$550–$749
◂ +21.4 pts
27.0%
25.2%
$350–$549
+4.9 pts ▸
30.1%
16.0%
$750 or more
+6.3 pts ▸
22.3%
5.6%
$200–$349
+7.5 pts ▸
13.1%
1.9%
Under $200
+3.8 pts ▸
5.7%
Monthly mortgage distribution
38.6%
$3,000 or more
+9.4 pts ▸
48.0%
33.5%
$1,800–$2,999
◂ +10.0 pts
23.5%
13.4%
$1,000–$1,799
◂ +1.3 pts
12.1%
8.2%
Under $1,000
+3.4 pts ▸
11.7%
Transport & Vehicles
How people get to work
37.3%
Worked at home
+17.6 pts ▸
54.9%
24.6%
Car (driver)
◂ +10.8 pts
13.7%
7.6%
Train
◂ +3.7 pts
4.0%
4.6%
Walked
+2.8 pts ▸
7.4%
2.9%
Bus
◂ +1.3 pts
1.6%
2.5%
Car (passenger)
◂ +1.3 pts
1.2%
0.8%
Bicycle
+1.0 pts ▸
1.8%
Motor vehicles per home
50.4%
1 vehicle
+0.5 pts ▸
50.8%
20.1%
No vehicle
+11.6 pts ▸
31.7%
23.0%
2 vehicles
◂ +8.7 pts
14.3%
4.7%
3 vehicles
◂ +2.3 pts
2.4%
1.9%
4 or more
◂ +1.0 pts
0.8%
Migration & Movement
Jobs & Industry
Industries people work in
12.1%
Professional & technical
+5.5 pts ▸
17.6%
8.4%
Health care & social assistance
+3.6 pts ▸
12.0%
5.5%
Education & training
+5.3 pts ▸
10.8%
10.4%
Accommodation & food
◂ +3.5 pts
6.9%
9.3%
Retail trade
◂ +2.7 pts
6.6%
8.0%
Construction
◂ +4.1 pts
4.0%
7.8%
Finance & insurance
◂ +1.0 pts
6.8%
7.5%
Transport & warehousing
◂ +4.8 pts
2.7%
6.0%
Public administration & safety
+1.0 pts ▸
7.0%
2.3%
Media & telecommunications
+3.5 pts ▸
5.7%
3.7%
Administrative & support
◂ +1.1 pts
2.6%
1.5%
Arts & recreation
+2.1 pts ▸
3.6%
Occupations people work in
28.8%
Professionals
+16.2 pts ▸
45.0%
12.5%
Managers
+4.9 pts ▸
17.4%
13.6%
Clerical & administrative
◂ +2.8 pts
10.8%
11.6%
Technicians & trades
◂ +4.5 pts
7.1%
10.0%
Community & personal service
◂ +2.1 pts
7.8%
8.1%
Labourers
◂ +5.1 pts
3.0%
8.0%
Sales workers
◂ +2.4 pts
5.5%
5.2%
Machinery operators & drivers
◂ +3.3 pts
1.9%
Economy & Advantage
Environment & Climate
Walkability
Compare Mascot with nearby areas
Compare Newtown with nearby areas
Cite this page
Australian Bureau of Statistics. (2021). Mascot vs Newtown [Census of Population and Housing]. CensusAtlas, used under CC BY 4.0. https://censusatlas.au/compare/sa2/117011635/mascot/vs/117031640/newtown