RDA Yorke and Mid North RegionEconomic profile
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Mid North Region

Local workers - Individual income quartiles - All industries

In Mid North Region, the 'medium lowest' quartile is the largest group, comprising 31% of local workers.

Individual Income is an indicator of socio-economic status, skills and occupations required in a particular industry. With other data sources, such as Qualifications and Occupation, it helps to evaluate the economic opportunities of people in an industry.

Income quartiles are used to condense income categories into manageable units, adjust for the effects of inflation, and allow areas to be compared over time relative to a benchmark. The incomes for a specified industry for the state are split into four equal groups, each containing 25% of the workers in that industry, and the quartiles allow users to compare changes in that industry in the local area to changes statewide, or against another benchmark. For more information on how quartiles are calculated please refer to the data notes.

As well as being related to the type of jobs and qualifications required in a particular industry, income levels can be related to the level of part-time employment, Occupations, Qualifications and the Age structure of the local workers, so the data should be looked at in conjunction with these topics.

Australian Bureau of Statistics (ABS) – Census 2011 and 2016 – by place of work

Please note – The 2016 Census used a new methodology to “impute” a work location to people who didn’t state their workplace address. As a result, 2016 and 2011 place of work data are not normally comparable. To allow comparison between 2011 and 2016, .id has sourced a 2011 dataset from the ABS which was experimentally imputed using the same methodology. To provide this detail, Mid North Region in 2011 had to be constructed from a best fit of Work Destination Zones (DZNs). While it may not be an exact match to the LGA or region boundary, it is considered close enough to allow some comparison. Users should treat this time series data with caution, however, and not compare directly with 2011 data from any other source.

Local workers individual income quartiles
Mid North Region - All industries20162011Change
Quartile groupNumber%Rental, Hiring and Real Estate Services %Number%Rental, Hiring and Real Estate Services %2011 to 2016
Lowest group1,01627.90.01,10330.14.8-86
Medium lowest1,12330.944.61,02327.936.2+100
Medium highest82422.70.887423.839.5-49
Highest group67418.554.566518.119.5+10

Source: Derived from the Australian Bureau of Statistics, Census of Population and Housing 2011 and 2016. Compiled and presented in profile.id by .id , the population experts.

Quartile group dollar ranges (Individuals)
Calculated from income data for South Australia - All industries Weekly income by Census year
Individual quartile ranges
2016
2011
Lowest group $0 to $495 $0 to $428
Medium lowest $496 to $796 $429 to $703
Medium highest $797 to $1,218 $704 to $1,061
Highest group $1,219 and over $1,062 and over

Local workers individual income quartiles, 2016
Local workers individual income quartiles, 2016 Highest group, Rental, Hiring and Real Estate Services: 54.5% Medium highest, Rental, Hiring and Real Estate Services: 0.8% Medium lowest, Rental, Hiring and Real Estate Services: 44.6% Lowest group, Rental, Hiring and Real Estate Services: 0.0% Highest group, All industries: 18.5% Medium highest, All industries: 22.7% Medium lowest, All industries: 30.9% Lowest group, All industries: 27.9%
Source: Australian Bureau of Statistics, Census of Population and Housing, 2016
Compiled and presented in economy.id by .id, the population experts.
Change in local workers individual income quartiles, 2011 to 2016
Change in local workers individual income quartiles, 2011 to 2016 Highest group, All industries: +10 Medium highest, All industries: -49 Medium lowest, All industries: +100 Lowest group, All industries: -86
Source: Australian Bureau of Statistics, Census of Population and Housing, 2011 and 2016
Compiled and presented in economy.id by .id, the population experts.

Dominant groups

Income quartiles allow us to compare relative income-earning capabilities across time. Analysis of the distribution of the female by income quartile compared to the Rental, Hiring and Real Estate Services female workforce within Mid North Region shows that there was lesser proportion of females in the highest income quartile, and a greater proportion in the lowest income quartile.

Emerging groups

The most significant change for the female between 2011 and 2016 was in the medium lowest quartile which showed an increase of 100 females.

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