What are our occupations? (Occupation time series)
Derived from the two Census questions, "In the job that you worked the most hours in, what was your occupation?" and "In that job, what tasks or duties did you spend the most time on?"
Relates only to persons aged 15 years or more.
The Occupation data identifies the occupations in which the residents of an area work (this may be within the residing area or elsewhere). The occupational structure of the work force is an important indicator of the characteristics of the labour force. With other indicators, such as Educational Qualifications and Income, Occupation is a key component of evaluating the socio-economic status and skill base of an area. The occupations held by a workforce are linked to a range of factors including:
- the economic base and employment opportunities available in the area;
- the educational qualification levels of the population; and
- the working and social aspirations of the population.
The data below is based on the 1999 New Zealand Standard Classification of Occupations (NZCO99) for 2006 and 2001 data, and NZSO95 for 1996 data. The difference between these two standards is minimal and enables comparisons between 2006, 2001 and 1996 occupations.
|Occupation, NZCO 1999|
|Usual residence||number||%||Wanganui District %||number||%||Wanganui District %||2001 to 2006
|Legislators, administrators and managers||45||8.3||11.4||45||8.8||10.5||0
|Technicians and associate professionals||66||12.2||10.4||51||9.9||9.7||15
|Service and sales workers||102||18.9||15.9||105||20.5||16.1||-3
|Agriculture and fishery workers||18||3.3||6.0||18||3.5||7.1||0
|Plant and machine operators and assemblers||48||8.9||9.0||45||8.8||10.8||3
|Labourers and related elementary service workers||45||8.3||7.5||51||9.9||7.4||-6
|Not elsewhere included||39||7.2||8.1||24||4.7||6.0||15
Source: Statistics New Zealand, Census of Population and Dwellings, 2006, 2001 and 1996.
Please refer to the specific data notes for more information.
This dataset describes the occupations of employed people. It applies only to people aged 15 and over who were employed in the week prior to Census.
The occupation classification is updated periodically to take account of emerging occupation groups and changes to the structure of the labour force.
Data for occupation in 2006 were dual-coded using the new Australian and New Zealand Standard Classification of Occupations (ANZSCO), and the older NZSCO99 classification, which was valid for the 2001 Census. The 1996 Census used NZSCO95, which was broadly comparable at the major group level to NZSCO99 and is presented here.
Data are presented for the broad occupation groupings, using the NZSCO99 to allow comparisons with the 2001 and 1996 Census.
The comparability of the 2006 data with 1996 and 2001 data at the most detailed level has been affected by a problem with the automatic allocation of codes during processing. Time series analysis shows inconsistencies as a result of this problem.
An analysis of the occupations held by Gonville East in 2006 shows the three most popular occupations were:
- Service and sales workers (102 people or 18.9%)
- Technicians and associate professionals (66 people or 12.2%)
- Professionals (63 people or 11.7%)
In combination these three occupations accounted for 231 people in total or 42.8% of the employed resident population.
In comparison, 15.9% of Wanganui District's residents were employed as Service and sales workers; 10.4% as Technicians and associate professionals; and 13.3% as Professionals.
The major differences between the occupations held by Gonville East and Wanganui District residents were:
- A larger percentage of Service and sales workers (18.9% compared to 15.9%);
- A larger percentage of Trades workers (11.7% compared to 9.1%);
- A larger percentage of Technicians and associate professionals (12.2% compared to 10.4%), and;
- A smaller percentage of Legislators, administrators and managers (8.3% compared to 11.4%).
Between 2001 and 2006 there were no numerically significant changes in Gonville East's occupation time series data.