2901.0 - Census Dictionary, 2001  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 24/04/2001   
   Page tools: Print Print Page  
Contents >> Short Definitions and Classifications >> Method of Travel to Work - MTWP Characteristics

Method of Travel to Work



Description
Image of Question
Classification
Quality Statement

Description

This variable identifies the method of travel to work on the day of the Census. These data are used in conjunction with journey to work data for transport planning. More Detailed Description

Image of Question




Classification

Applicable to:    Employed persons
1    Train
2    Bus
3    Ferry
4    Tram
5    Taxi
6    Car, as driver
7    Car, as passenger
8    Truck
9    Motorbike/scooter


&&&        Not stated
@@@    Not applicable
VVV        Overseas visitor

Total number of categories:    237

Not applicable (@@@) category comprises:

Unemployed persons looking for either part-time or full-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. These include undercounting, processing of the data. 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



Previous PageNext Page