Labour force survey (LFS) resources

The global reference for labour force survey design​

National labour force surveys are the main source behind essential headline indicators of the labour market and the world of work. A wide range of economic and social policies, from monetary and fiscal policies to employment, decent work, vocational education and training, and a wide range of poverty reduction and social inclusion policies depend on labour force surveys as their main source of statistics for informed decision-making and monitoring.

To support countries in developing their national LFS, the ILO Department of Statistics maintains a set of model LFS resources to support PAPI and CAPI data collection. The ILO model LFS resources consolidate existing good survey practice and new approaches following evidence from ILO’s LFS testing programme to support the collection of work and labour market data, aligned with the latest international standards.

© ILO
© ILO
Improving the comparability of labour statistics through evidence-based survey design
Improving the comparability of labour statistics through evidence-based survey design
© ILO
© ILO
© ILO
© ILO

The ILO model LFS resources provided here include:

  • Modular questionnaires
  • Accompanying national adaptation guides
  • Variable derivation flow-charts and syntax
  • LFS integration guide (for special add-on modules)
  • Build your own LFS tool (beta version) for CAPI users

Table of contents

Topics covered include:

  • Basic demographics, education, international migration status, disability status to support essential disaggregations needed to monitor Decent Work, SDGs and other national and global goals.
  • Labour force status, labour underutilization including time-related underemployment, unemployment, long-term unemployment, discouragement, potential labour force, previous employment experience;
  • Special add-on modules covering emerging work-related topics for use on a less frequent basis, including volunteer work, skills mismatches, barriers to the labour market entry of persons with disabilities, return migrant works, and others.
  • Current employment, including multiple job holding, occupation, industry, institutional sector, status in employment, informal sector employment and informal employment, contract characteristics, job-related social protection; identification of policy priority groups such as domestic workers, home-based workers, dependent contractors and others.
  • Own-use production of goods in agriculture, fishing, fetching water, collecting firewood, manufacture of other household items, and own-dwelling construction or renovation, as per national relevance.

Quick downloads

PAPI documentation
CAPI documentation
New add-on modules

PAPI resources

Paper and pencil interviewing (PAPI) remains an important method of LFS data collection in many countries and regions around the world. Updating LFS questionnaires implemented through PAPI to incorporate the latest international standards in labour statistics can be an important challenge. The ILO model LFS for PAPI is designed using a modular approach to facilitate selection of topics relevant to the national context and simplified skip instructions to enable interviewers to manage a good quality interview flow using paper questionnaires.

PAPI LFS documentation

ILO model LFS PAPI questionnaire READ ME

Household modules (v5 Sep 2020)

Core LFS modules for persons of working age (choose one)

Add-on modules on special work topics

  • Volunteer Work (v1 Jul 2020)  
    Participation and time spent in volunteer work, including organization-based and direct volunteering, and essential characteristics of the volunteer work activities

CAPI resources

Computer Assisted Interview methods are being increasingly used in survey implementation. Questionnaires implemented in this way can utilise in-built features to improve the flow of the questionnaire for the interviewer and respondent versus pen and paper questionnaires. This not only lowers respondent burden, but it also increases the ability to create more varied and wide-ranging questionnaires which is more difficult to manage through PAPI. Furthermore the ability to capture data electronically creates both data quality and efficiency gains given the possibility to implement improved real-time validations and the removal of the need for manual data entry. As such, CAPI and other computer assisted interviewing methods offer a wide range of benefits both for data quality but also in efficiency, flexibility and adaptability of surveys.

Build your own LFS - Programme builder (beta)

The programme builder is not available on a mobile. Please use a larger device to use this tool.

The easy-to-use “Build your own LFS” tool generates a CAPI application for CSPro which can be deployed for use on android devices. This beta version is being launched to support testing and as an illustration of the added functionality and user customization coming soon!

Future updates will include more advanced tools to support national adaptation of the model LFS questions, new modules covering related topics, additional administrative modules to handle sample management, interviewer workload assignment, field supervision, French and Spanish language versions, among many others.

CAPI LFS documentation​

ILO model LFS PAPI questionnaire READ ME

Household modules (v3 June 2019)

Labour modules (v3 June 2019)

Related pages

LFS research and development

Learn more about the ILO’s programme of methodological research to identify and promote good practices in the collection and reporting of labour statistics.

© Hannah Busing / Unsplash

Partnerships

The ILO seeks partners to improve the production and dissemination of labour statistics for better evidence-based policy. See our current partnerships.

Need help? Click here to email us.

ILOSTAT

  • The leading source of labour statistics
The ILO Department of Statistics is the focal point to the United Nations on labour statistics. We develop international standards for better measurement of labour issues and enhanced international comparability; provide relevant, timely and comparable labour statistics; and help Member States develop and improve their labour statistics.
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