2901.0 - Census Dictionary, 2001

ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 24/04/2001

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Contents >> Short Definitions and Classifications >> Industry of Employment (INDP) - Characteristics

Industry of Employment

Description
Image of Question
Classification
Quality Statement

Description

This variable describes the industries in which employed people aged 15 years and over work.

There is not necessarily any relationship between the occupation of an individual and the industry in which he/she works; for example, a van driver for an establishment designated as being in the insurance industry is employed in that industry, not in the transport industry. One establishment may employ many people in different occupations but they are all coded to the industry of the establishment. More Detailed Description

Image of Question

Classification

Applicable to: Employed persons

A Agriculture, Forestry and Fishing

B Mining

C Manufacturing

D Electricity, Gas and Water Supply

E Construction

F Wholesale Trade

G Retail Trade

H Accommodation, Cafes and Restaurants

I Transport and Storage

J Communication Services

K Finance and Insurance

L Property and Business Services

M Government Administration and Defence

N Education

O Health and Community Services

P Cultural and Recreational Services

R Non-Classifiable Economic Units

&&&&    Not stated
@@@@    Not applicable
VVVV    Overseas visitor

Total number of categories:
one digit level     18
two digit level    68
three digit level    214
four digit level    635

Not applicable (@@@@) category comprises:

Unemployed persons, looking for either full-time or part-time work
Persons not in the labour force
Persons with Labour Force Status/Status in Employment (LFSP) not stated
Persons aged under 15 Years

More Detailed Description

Quality Statement

Each stage of the Census is subject to stringent quality assurance measures. However, in a Census there are recognised sources of error which may survive in the data produced. Some of these are overcome or 'repaired' by careful processing procedures and quality management of the processing itself. The effect of those that remain is generally slight, although it may be more important for small groups in the population. The main kinds of error to keep in mind are:

Partial non-response - in some cases where an answer was not provided to a question an answer was imputed or derived (often from other information on the form). In other cases a 'not stated' code was allocated.

Processing error - while such errors can occur in any processing system, quality management is used to continuously improve the quality of processed data, and to identify and correct data of unacceptable quality.

Random adjustment - cells containing small values are randomly adjusted to avoid releasing information about particular individuals, families or households. The effect of random adjustment is statistically insignificant.

Respondent error - processing procedures cannot detect or repair all errors made by persons in completing the form, therefore some may remain in final data.

Undercount - although the Census aims to count each person once, there are some people who are missed and others who are counted more than once. A post enumeration survey is conducted soon after the Census to measure the undercount.

Want more information on Data Quality?

A series of Census Working Papers have been produced to assess and report on various aspects of 2001 Census data quality. More Information