Income
Individual income quartiles
About this topic
Individual income quartiles group people aged 15 years and over into four evenly sized income ranges so the distribution of personal income can be compared objectively across areas and over time. The quartile method focuses on relative position in the income distribution rather than raw dollar brackets.
This topic is useful because direct income amounts are affected by inflation and wider economic change. Quartiles provide a clearer way to compare whether an area is becoming relatively lower, middle, or higher income over time.
Interpretation notes
- This is a derived distribution of personal income for people aged 15 years and over, with each quartile representing a quarter of the income distribution.
- Quartiles show relative position rather than fixed dollar brackets, which makes them more robust for comparisons over time.
Key insight
In 2021, the medium-low income quartile held the largest share among residents aged 15 and over in Kimba, accounting for 33.8%.
Section overview
Individual income quartiles
Kimba - Persons aged 15+ (Usual residence)
This table summarises individual income quartiles for Kimba in 2021 for persons, with comparison against Kimba (DC) and change since 2016.
Individual income quartiles snapshot
2021 distribution by category for Kimba, with comparison markers for Kimba (DC).
Lowest group
2021 count
104
% of total
22.5%
Change from 2016
+5.3pp
104
22.5%
+5.3pp
Medium lowest
2021 count
156
% of total
33.8%
Change from 2016
-2.0pp
156
33.8%
-2.0pp
Medium highest
2021 count
113
% of total
24.5%
Change from 2016
-4.0pp
113
24.5%
-4.0pp
Highest group
2021 count
89
% of total
19.3%
Change from 2016
+0.8pp
89
19.3%
+0.8pp
Chart view
Individual income quartiles change
Absolute change in category counts between 2016 and 2021.
Lowest group
+24
+5.3pp
Medium lowest
-11
-2.0pp
Medium highest
-20
-4.0pp
Highest group
+3
+0.8pp
Data table
Individual income quartiles for Kimba. Individual income quartiles. 2021 and 2016 counts, percentages, and change compared with Kimba (DC).
| Category | 2021 | 2016 | Change | |||||
|---|---|---|---|---|---|---|---|---|
| Count | % | Kimba (DC)% | Count | % | Kimba (DC)% | Count | pp | |
| Lowest group | 104 | 22.5% | 20.4% | 80 | 17.2% | 17.6% | +24 | +5.3pp |
| Medium lowest | 156 | 33.8% | 32.3% | 167 | 35.8% | 29.6% | -11 | -2.0pp |
| Medium highest | 113 | 24.5% | 30.1% | 133 | 28.5% | 30.3% | -20 | -4.0pp |
| Highest group | 89 | 19.3% | 17.2% | 86 | 18.5% | 22.4% | +3 | +0.8pp |
| Total persons aged 15+ | 462 | 100.0% | 100.0% | 466 | 100.0% | 100.0% | -4 | 0.0pp |