Methodology of the Canadian Labour Force Survey
Appendix G
Composite auxiliary variables

Table of contents

The following is a list of the 28 composite auxiliary variables that are used for LFS composite calibration. These variables are defined at the province level. An asterisk (*) indicates that the auxiliary variable does not need to be specified because it can be deduced from other auxiliary variables.

Labour force characteristics of previous month (no breakdown)

Employed, 15+
Unemployed, 15+
* Not in the labour force, 15+

Labour force characteristics of previous month by age/sex groups

Employed males, 15 to 24
Unemployed males, 15 to 24
Not in labour force males, 15 to 24

Employed males, 25+
Unemployed males, 25+
Not in labour force males, 25+

Employed females, 15 to 24
Unemployed females, 15 to 24
Not in labour force females, 15 to 24

* Employed females, 25+
* Unemployed females, 25+
* Not in labour force females, 25+

Employment of previous month by industry

Employed in natural resources, 15+
Employed in utilities, 15+
Employed in construction, 15+
Employed in manufacturing, 15+
Employed in trade, 15+
Employed in transportation and warehousing, 15+
Employed in finance, insurance and real estate, 15+
Employed in professional, scientific and technical services, 15+
Employed in management, administrative and other support, 15+
Employed in educational services, 15+
Employed in health care and social assistance, 15+
Employed in information, culture and recreation, 15+
Employed in accommodation and food services, 15+
Employed in other services, 15+
Employed in public administration, 15+
* Employed in agriculture, 15+

Employment of previous month by class of worker

Employed, public sector employee, 15+
Employed, privates sector employee, 15+
* Employed, private sector, self-employed, 15+



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Acknowledgement

Sincere thanks are due to the many people who contributed in various ways to this document.

Our gratitude goes first to the primary authors of the various chapters: Lihua An, Justin Francis, Guy Laflamme, Yves Lafortune, Scott Meyer, Elisabeth Neusy, Steven Thomas and Sylvia White. These people worked on different aspects of the 2015 redesign of the methodology of the Labour Force Survey, and thus were the best people to write about it.

Besides these, numerous people in Household Survey Methods Division, Labour Statistics Division, and elsewhere in Statistics Canada, were also involved in the planning, reviewing, verification, revision, translation and production of this document. Sincere thanks are due to all of them.

Note of appreciation

Canada owes the success of its statistical system to a long-standing partnership between Statistics Canada, the citizens of Canada, its businesses, governments and other institutions. Accurate and timely statistical information could not be produced without their continued co-operation and goodwill.

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Copyright

Published by authority of the Minister responsible for Statistics Canada.

© Minister of Industry, 2017

Use of this publication is governed by the Statistics Canada Open Licence Agreement.

Catalogue no. 71-526-X

Frequency: Occasional

Ottawa

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Table of contents

Abstract - Main page
Chapter 1 Introduction and overview
Chapter 2 Sample design
Chapter 3 Sampling frame creation and maintenance
Chapter 4 Collection
Chapter 5 Processing and imputation
Chapter 6 Weighting and estimation
Chapter 7 Variance estimation
Chapter 8 Data quality
Chapter 9 LFS frame for other surveys
Appendices
References

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