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LEARN MORE ABOUT .idMore Southern Lakes District female residents worked in health care and social assistance than any other industry in 2021.
The Southern Lakes District's industry statistics identify the industry sectors in which the residents work (which may be within the residing area or elsewhere). This will be influenced by the skill base and socio-economic status of the residents as well as the industries and employment opportunities present in the region.
When viewed in conjunction with Residents Place of Work data and Method of Travel to Work, industry sector statistics provide insights into the relationship between the economic and residential role of the area.
Q:
Derived from the two Census questions:
'What best describes the business of your employer?' and 'What are the main goods produced or main services provided by your employers business?'
| Industry sector of employment | |||||||
|---|---|---|---|---|---|---|---|
| Southern Lakes District - Employed females (Usual residence) | 2021 | 2016 | Change | ||||
| Industry sector | Number | % | Watanobbi % | Number | % | Watanobbi % | 2016 to 2021 |
| Agriculture, Forestry and Fishing | 28 | 0.5 | 0.7 | 24 | 0.4 | 0.4 | +4 |
| Mining | 6 | 0.1 | -- | 7 | 0.1 | -- | -1 |
| Manufacturing | 232 | 3.8 | 5.4 | 241 | 4.3 | 5.7 | -9 |
| Electricity, Gas, Water and Waste Services | 23 | 0.4 | 0.5 | 22 | 0.4 | 0.7 | +1 |
| Construction | 200 | 3.3 | 2.3 | 129 | 2.3 | 2.5 | +71 |
| Wholesale trade | 100 | 1.6 | 1.1 | 106 | 1.9 | 1.4 | -6 |
| Retail Trade | 756 | 12.5 | 11.1 | 840 | 15.0 | 16.7 | -84 |
| Accommodation and Food Services | 476 | 7.8 | 7.3 | 520 | 9.3 | 9.4 | -44 |
| Transport, Postal and Warehousing | 93 | 1.5 | 2.4 | 80 | 1.4 | 1.5 | +13 |
| Information Media and Telecommunications | 70 | 1.2 | 0.5 | 65 | 1.2 | 1.5 | +5 |
| Financial and Insurance Services | 232 | 3.8 | 4.3 | 218 | 3.9 | 5.5 | +14 |
| Rental, Hiring and Real Estate Services | 89 | 1.5 | 1.2 | 101 | 1.8 | 0.6 | -12 |
| Professional, Scientific and Technical Services | 285 | 4.7 | 4.9 | 276 | 4.9 | 4.7 | +9 |
| Administrative and Support Services | 189 | 3.1 | 4.2 | 213 | 3.8 | 3.9 | -24 |
| Public Administration and Safety | 347 | 5.7 | 6.6 | 326 | 5.8 | 5.3 | +21 |
| Education and Training | 760 | 12.5 | 8.5 | 609 | 10.9 | 8.0 | +151 |
| Health Care and Social Assistance | 1,701 | 28.0 | 30.6 | 1,359 | 24.3 | 24.1 | +342 |
| Arts and Recreation Services | 69 | 1.1 | 1.8 | 67 | 1.2 | 0.8 | +2 |
| Other Services | 256 | 4.2 | 4.2 | 240 | 4.3 | 3.9 | +16 |
| Inadequately described or not stated | 154 | 2.5 | 2.4 | 151 | 2.7 | 3.5 | +3 |
| Total employed persons aged 15+ | 6,066 | 100.0 | 100.0 | 5,594 | 100.0 | 100.0 | +472 |
Dominant groups
An analysis of the jobs held by the female resident population in Southern Lakes District in 2021 shows the three most popular industry sectors were:
- Health Care and Social Assistance (1,701 females or 28.0%)
- Education and Training (760 females or 12.5%)
- Retail Trade (756 females or 12.5%)
In combination, these three industries employed 3,217 females in total or 53.0% of the total employed female resident population.
In comparison, Watanobbi employed 30.6% in Health Care and Social Assistance; 8.5% in Education and Training; and 11.1% in Retail Trade.
The major differences between the jobs held by the female population of the Southern Lakes District and Watanobbi were:
- A larger percentage of females employed in education and training (12.5% compared to 8.5%)
- A larger percentage of females employed in retail trade (12.5% compared to 11.1%)
- A smaller percentage of females employed in health care and social assistance (28.0% compared to 30.6%)
- A smaller percentage of females employed in manufacturing (3.8% compared to 5.4%)
Emerging groups
The number of employed females in Southern Lakes District increased by 472 between 2016 and 2021.
The largest changes in the jobs held by the female resident population between 2016 and 2021 in the Southern Lakes District were for those employed in:
- Health Care and Social Assistance (+342 females)
- Education and Training (+151 females)
- Retail Trade (-84 females)
- Construction (+71 females)
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