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Cargo vs Cudal

Name: Cargo vs Cudal — 2021 Census comparison
Creator: Australian Bureau of Statistics
License: https://creativecommons.org/licenses/by/4.0/

Urban Centre comparison ≈ 17 km apart · Cargo profile · Cudal profile

Cargo Cudal

Cudal and Cargo are two small residential areas in New South Wales. Cudal is older, with a typical resident aged 46, while Cargo is younger at 38. Residents in Cudal are more likely to own their homes outright (45.3% compared to 26.5% in Cargo) and more often live alone. Cargo has a higher typical weekly household income of $1,702, well above the $1,102 seen in Cudal. There is also a notable difference in local access; 86.6% of Cudal homes are within a 10-minute walk of public transport, while nearly all Cargo homes are within a 15-minute walk of groceries.

Both areas are similar in that the percentage of people providing unpaid care sits close to the national figure. They also share very similar levels of unemployment and a lack of public transport use for commuting. Since 2011, the gaps between them have shifted significantly. Cudal used to be younger, but residents are now far older than in Cargo. Similarly, the gap in outright home ownership has widened, and typical incomes in Cargo have moved further ahead of Cudal.

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Where they differ most

Owned outright: 18.7 pts higher in Cudal De facto: 12.9 pts higher in Cargo Median age: 8 yrs older in Cudal No religion: 12.6 pts higher in Cargo Household size: 0.6 larger in Cargo

Demographics & Identity

Population in Cargo in Cudal +71 larger in Cudal gap narrowing

246 13th pct 317 18th pct

Median age in Cargo in Cudal +8 yrs older in Cudal gap narrowing

38 yrs 25th pct 46 yrs 54th pct

Age structure

28.0% Older adults (45–64) ◂ +0.3 pts 27.8%

26.8% Young adults (25–44) ◂ +5.4 pts 21.5%

26.0% Children (0–14) ◂ +5.8 pts 20.2%

14.2% Seniors (65+) +9.4 pts ▸ 23.7%

5.7% Youth (15–24) +2.8 pts ▸ 8.5%

Marital status

50.0% Married +1.4 pts ▸ 51.4%

33.5% Never married ◂ +6.1 pts 27.4%

4.5% Widowed +4.3 pts ▸ 8.9%

8.0% Divorced ◂ +0.6 pts 7.3%

2.8% Separated +1.4 pts ▸ 4.2%

Age & sex structure

Cargo Cudal

Bars show the share of each area's own population, so differently sized areas stay comparable.

Ancestry & Birthplace

Country of birth

89.0% Australia +3.4 pts ▸ 92.4%

1.2% England +1.3 pts ▸ 2.5%

1.2% New Zealand +0.7 pts ▸ 1.9%

0.0% India even 0.0%

0.0% China even 0.0%

0.0% Philippines even 0.0%

0.0% Vietnam even 0.0%

0.0% Nepal even 0.0%

0.0% Italy even 0.0%

0.0% South Africa even 0.0%

Ancestry

50.8% Australian +4.7 pts ▸ 55.5%

39.8% English +5.6 pts ▸ 45.4%

10.2% Irish +1.8 pts ▸ 12.0%

10.6% Scottish ◂ +1.4 pts 9.1%

5.3% German ◂ +2.1 pts 3.2%

1.6% Italian even 1.6%

0.0% Chinese even 0.0%

0.0% Indian even 0.0%

0.0% Greek even 0.0%

0.0% Dutch even 0.0%

0.0% Filipino even 0.0%

0.0% Vietnamese even 0.0%

Language

Language used at home

90.7% English only +4.0 pts ▸ 94.6%

0.0% Mandarin even 0.0%

0.0% Arabic even 0.0%

0.0% Vietnamese even 0.0%

0.0% Cantonese even 0.0%

0.0% Punjabi even 0.0%

0.0% Greek even 0.0%

0.0% Italian even 0.0%

0.0% Hindi even 0.0%

0.0% Tagalog even 0.0%

Religion

Religious affiliation

54.1% Christianity +10.0 pts ▸ 64.0%

40.7% No religion ◂ +12.6 pts 28.1%

4.9% Not stated +3.0 pts ▸ 7.9%

0.0% Islam even 0.0%

0.0% Hinduism even 0.0%

0.0% Buddhism even 0.0%

0.0% Judaism even 0.0%

0.0% Other religions even 0.0%

Education & Qualifications

Highest year of school

45.6% Year 10 ◂ +3.5 pts 42.1%

24.0% Year 12 +1.5 pts ▸ 25.5%

17.5% Year 9 or below ◂ +0.9 pts 16.6%

9.9% Year 11 ◂ +2.2 pts 7.7%

Highest qualification level

57.4% Certificate III / IV ◂ +6.0 pts 51.5%

5.9% Advanced diploma / diploma +7.3 pts ▸ 13.2%

7.9% Certificate I / II ◂ +3.5 pts 4.4%

5.9% Bachelor degree +0.7 pts ▸ 6.6%

0.0% Graduate diploma / certificate +2.2 pts ▸ 2.2%

0.0% Postgraduate degree even 0.0%

Field of qualification

22.8% Engineering & related ◂ +2.2 pts 20.6%

18.8% Management & commerce ◂ +3.4 pts 15.4%

13.9% Health ◂ +4.3 pts 9.6%

10.9% Architecture & building ◂ +5.0 pts 5.9%

10.9% Food, hospitality & personal services ◂ +0.6 pts 10.3%

8.9% Agriculture & environment ◂ +4.5 pts 4.4%

6.9% Society & culture +1.2 pts ▸ 8.1%

3.0% Education +4.4 pts ▸ 7.4%

0.0% Natural & physical sciences even 0.0%

0.0% Information technology even 0.0%

0.0% Creative arts even 0.0%

Income

Personal income in Cargo in Cudal +$190 higher in Cargo gap widening

$804 77th pct $614 40th pct

Household income in Cargo in Cudal +$600 higher in Cargo gap widening

$1,702 76th pct $1,102 34th pct

Family income in Cargo in Cudal +$421 higher in Cargo gap steady

$1,906 71st pct $1,485 43rd pct

Household income distribution

55.4% $1,500–$2,999 ◂ +26.2 pts 29.2%

26.5% $650–$1,499 +10.0 pts ▸ 36.5%

12.0% Under $650 +9.1 pts ▸ 21.2%

4.8% $3,000–$3,999 +2.5 pts ▸ 7.3%

0.0% $4,000 or more even 0.0%

Personal income distribution

35.8% Under $650 +14.4 pts ▸ 50.2%

36.4% $650–$1,499 ◂ +5.9 pts 30.5%

21.0% $1,500–$2,999 ◂ +7.1 pts 13.9%

0.0% $3,000 or more even 0.0%

Health & Disability

Long-term health conditions reported

11.4% Arthritis +6.9 pts ▸ 18.3%

9.3% Asthma +2.0 pts ▸ 11.4%

8.5% Mental health +2.2 pts ▸ 10.7%

3.3% Diabetes +4.9 pts ▸ 8.2%

8.1% Other condition ◂ +0.9 pts 7.3%

4.5% Heart disease +3.1 pts ▸ 7.6%

4.1% Cancer ◂ +1.9 pts 2.2%

2.4% Lung condition +1.0 pts ▸ 3.5%

0.0% Stroke +1.9 pts ▸ 1.9%

0.0% Dementia even 0.0%

Number of long-term health conditions

59.3% None ◂ +2.9 pts 56.5%

18.3% One condition +7.9 pts ▸ 26.2%

6.5% Two conditions +0.4 pts ▸ 6.9%

4.1% Three or more +1.6 pts ▸ 5.7%

Community Participation

Family & Households

Household size in Cargo in Cudal +0.6 larger in Cargo gap widening

2.8 81st pct 2.2 36th pct

Family composition

64.1% Couples with children ◂ +14.3 pts 49.8%

21.8% Couples without children +14.0 pts ▸ 35.9%

8.7% One-parent families +2.0 pts ▸ 10.8%

1.9% Other families +1.6 pts ▸ 3.6%

Household size

32.5% 2 people +9.1 pts ▸ 41.6%

16.9% 1 person +10.9 pts ▸ 27.7%

19.3% 4 people ◂ +11.2 pts 8.0%

12.0% 3 people +0.4 pts ▸ 12.4%

8.4% 5 people ◂ +3.3 pts 5.1%

3.6% 6 or more even 3.6%

Housing & Dwellings

Rent in Cargo in Cudal +$20 higher in Cargo

$280 52nd pct $260 46th pct

Mortgage in Cargo in Cudal +$143 higher in Cargo gap widening

$1,300 43rd pct $1,157 33rd pct

People / bedroom in Cargo in Cudal even gap narrowing

0.80 57th pct 0.80 57th pct

How homes are owned or rented

50.6% Owned with a mortgage ◂ +15.6 pts 35.0%

26.5% Owned outright +18.7 pts ▸ 45.3%

10.8% Rented +7.4 pts ▸ 18.2%

3.6% Other tenure ◂ +1.4 pts 2.2%

0.0% Not stated +2.9 pts ▸ 2.9%

Types of homes

91.6% Separate house +2.6 pts ▸ 94.2%

0.0% Other dwelling +3.6 pts ▸ 3.6%

0.0% Flat or apartment +2.2 pts ▸ 2.2%

0.0% Townhouse / semi-detached even 0.0%

Bedrooms per home

48.2% 3 bedrooms +5.1 pts ▸ 53.3%

27.7% 4 bedrooms ◂ +5.1 pts 22.6%

14.5% 2 bedrooms ◂ +1.3 pts 13.1%

6.0% 1 bedroom +0.5 pts ▸ 6.6%

4.8% 5 or more ◂ +4.8 pts 0.0%

0.0% Studio / none even 0.0%

Weekly rent distribution

66.7% $200–$349 +1.3 pts ▸ 68.0%

33.3% Under $200 +10.7 pts ▸ 44.0%

0.0% $350–$549 even 0.0%

0.0% $550–$749 even 0.0%

0.0% $750 or more even 0.0%

Monthly mortgage distribution

59.5% $1,000–$1,799 +0.9 pts ▸ 60.4%

16.7% Under $1,000 ◂ +2.1 pts 14.6%

14.3% $1,800–$2,999 ◂ +3.9 pts 10.4%

0.0% $3,000 or more even 0.0%

Transport & Vehicles

How people get to work

74.1% Car (driver) ◂ +13.6 pts 60.4%

7.4% Worked at home +0.5 pts ▸ 7.9%

5.6% Car (passenger) +1.6 pts ▸ 7.2%

3.7% Walked ◂ +0.1 pts 3.6%

0.0% Train even 0.0%

0.0% Bus even 0.0%

0.0% Bicycle even 0.0%

Motor vehicles per home

36.1% 2 vehicles ◂ +0.3 pts 35.8%

26.5% 1 vehicle +4.1 pts ▸ 30.6%

21.7% 3 vehicles ◂ +3.0 pts 18.7%

4.8% 4 or more +5.6 pts ▸ 10.4%

4.8% No vehicle ◂ +0.3 pts 4.5%

Migration & Movement

Jobs & Industry

Industries people work in

14.8% Public administration & safety ◂ +2.6 pts 12.2%

12.0% Construction ◂ +4.1 pts 7.9%

10.2% Agriculture, forestry & fishing ◂ +7.3 pts 2.9%

10.2% Mining ◂ +8.0 pts 2.2%

9.3% Health care & social assistance ◂ +2.1 pts 7.2%

8.3% Manufacturing ◂ +2.6 pts 5.8%

7.4% Retail trade ◂ +0.9 pts 6.5%

0.0% Education & training +7.2 pts ▸ 7.2%

0.0% Accommodation & food +6.5 pts ▸ 6.5%

5.6% Transport & warehousing +0.2 pts ▸ 5.8%

3.7% Administrative & support +2.1 pts ▸ 5.8%

4.6% Professional & technical ◂ +1.8 pts 2.9%

Occupations people work in

9.3% Labourers +17.4 pts ▸ 26.6%

20.4% Technicians & trades ◂ +2.4 pts 18.0%

16.7% Machinery operators & drivers ◂ +5.9 pts 10.8%

12.0% Managers ◂ +1.2 pts 10.8%

6.5% Community & personal service +5.0 pts ▸ 11.5%

11.1% Clerical & administrative ◂ +2.5 pts 8.6%

10.2% Professionals ◂ +0.1 pts 10.1%

5.6% Sales workers ◂ +2.0 pts 3.6%

Walkability

Walk score in Cargo in Cudal even

5.3 70th pct 5.3 68th pct

Types ≤15 min in Cargo in Cudal +0.0 more in Cargo

6.0 75th pct 5.9 74th pct

15-min city in Cargo in Cudal +0.7 pts higher in Cargo

99.4% 99th pct 98.7% 98th pct

Walk to shops in Cargo in Cudal +99.4 pts higher in Cargo

99.4% 99th pct 0.0% 0th pct

Walk to transit in Cargo in Cudal +86.6 pts higher in Cudal

0.0% 0th pct 86.6% 79th pct

Walk to school in Cargo in Cudal +0.7 pts higher in Cargo

99.4% 98th pct 98.7% 96th pct

Walk to a park in Cargo in Cudal +0.7 pts higher in Cargo

99.4% 84th pct 98.7% 77th pct

Walk to health in Cargo in Cudal even

0.0% 0th pct 0.0% 0th pct

Amenities/1k in Cargo in Cudal +2.4 more in Cargo

52.8 89th pct 50.5 88th pct

Intersections/km² in Cargo in Cudal +1 higher in Cudal

41 62nd pct 42 64th pct

Mean slope in Cargo in Cudal +1.8 pts higher in Cargo

5.6% 63rd pct 3.8% 36th pct

Compare Cargo with nearby areas

Cudal Canowindra Manildra Orange Woodstock Lyndhurst Molong Spring Hill

Compare Cudal with nearby areas

Manildra Cargo Molong Canowindra Cumnock Orange Eugowra Clifton Grove

Cite this page

Australian Bureau of Statistics. (2021). Cargo vs Cudal [Census of Population and Housing]. CensusAtlas, used under CC BY 4.0. https://censusatlas.au/compare/ucl/UCL122033/cargo/vs/UCL122043/cudal