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SAL
: Goyder (DC)
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Income

Household income quartiles

About this topic

Household income quartiles group households into four evenly sized income ranges so relative income position can be compared across places and across Census years. They provide a distribution view of household income rather than a simple count in fixed dollar brackets.

This topic is useful because raw household income amounts are influenced by inflation and broader economic shifts. Quartiles make it easier to see whether an area's households are concentrated toward lower, middle, or higher income positions over time.

Interpretation notes

  • This is a derived distribution of total household income, so each quartile shows relative position rather than a fixed income bracket.
  • It is useful for over-time comparison because quartile groupings are less distorted by inflation than raw dollar bands.

Key insight

In 2021, the lowest household income quartile held the largest share among households with income in Ngapala, accounting for 33.3%.

Section overview

Household income quartiles

Ngapala - Households (Enumerated)

This table summarises household income quartiles for Ngapala in 2021 for persons, with comparison against Goyder (DC) and change since 2016.

Household income quartiles snapshot

2021 distribution by category for Ngapala, with comparison markers for Goyder (DC).

Ngapala
Goyder (DC)

Lowest group

Medium lowest

Medium highest

Highest group

Data table

Household income quartiles for Ngapala. Household income quartiles. 2021 and 2016 counts, percentages, and change compared with Goyder (DC).

Household income quartiles for Ngapala. Household income quartiles. 2021 and 2016 counts, percentages, and change compared with Goyder (DC).
Household income quartiles for Ngapala. Household income quartiles. 2021 and 2016 counts, percentages, and change compared with Goyder (DC).
Category20212016Change
Count%Goyder (DC)%Count%Goyder (DC)%Countpp
Lowest group633.3%41.0%00.0%34.1%--
Medium lowest422.2%29.3%325.0%29.9%--
Medium highest422.2%18.3%650.0%23.1%--
Highest group422.2%11.4%325.0%12.9%--
Total Households18100.0%100.0%12100.0%100.0%--