LFS questionnaire viewer
This viewer allows users to take a close look at questions in the ILO model LFS questionnaires for PAPI.
The global reference for labour force survey design
Home > List of statistical resources > Labour force survey (LFS) resources
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.
The ILO model LFS resources provided here include:
Topics covered include:
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.
This viewer allows users to take a close look at questions in the ILO model LFS questionnaires for PAPI.
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.
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.
Learn more about the ILO’s programme of methodological research to identify and promote good practices in the collection and reporting of labour statistics.
The ILO seeks partners to improve the production and dissemination of labour statistics for better evidence-based policy. See our current partnerships.
An introduction to the conceptual frameworks for forms of work and labour force statistics, including labour underutilization.
Learn more about the international standards on labour statistics (a. conventions and recommendations and b. resolutions and guidelines).
The International Conference of Labour Statisticians (ICLS) meets every 5 years to establish international standards on labour statistics.
We provide training and support with the implementation of international statistical standards, data production, analysis and dissemination.
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