Introduction
Child labour remains a persistent problem in the world today. It is a complex phenomenon as not all work done by children can be regarded as child labour. A distinction must be made between child labour, on the one hand, and children’s activities considered part of a natural socialisation process, on the other hand. Child labourers are those entering the labour market, or those taking on too much work and too many duties at too early an age. Thus, child labour is not defined by the activity itself but by the effect the activity has on the child.
Numbers on the extent, characteristics and determinants of child labour are provided by the Statistical Information and Monitoring Programme on Child Labour (SIMPOC), which is the statistical arm of ILO’s International Programme on the Elimination of Child (IPEC). SIMPOC assists countries in the collection, documentation, processing and analysis of child labour statistics and provides manuals, tools and training materials accordingly.
This page provides a concise overview of the child labour statistics available in ILOSTAT.
Concepts and definitions
working children (term in latest resolution) = children in SNA work (indicator title in ilostat?)… but report states using 18th ICLS not 20th for global estimates. And what about country-level figures?
The broadest concept relating to the measurement of child labour is working children, that is, children engaged in any activity falling within the general production boundary as defined in the 2008 System of National Accounts (SNA) (henceforth, referred to as the “general production boundary”). This comprises all children below 18 years of age engaged in any activity to produce goods or to provide services for use by others or for own use. Different forms of work by children are distinguished as follows:
- Own-use production work by children, comprising production of goods and services for own final use;
- Employment work by children, comprising work performed for others in exchange for pay or profit;
- Unpaid trainee work by children, comprising work performed for others without pay to acquire workplace experience or skills;
- Volunteer work by children, comprising non-compulsory work performed for others without pay;
- Other work activities by children, not presently defined but including activities such as unpaid community services and unpaid work by prisoners, when ordered by a court or similar authority.
Three main international human and labour rights standards – the Convention on the Rights of the Child, the ILO Minimum Age for Admission to Employment Convention (No. 138) and the universally ratified ILO Worst Forms of Child Labour Convention (No. 182) – set legal boundaries for child labour and provide grounds for national and international actions to end it. In 2008, the 18th International Conference of Labour Statisticians (ICLS) approved a resolution on child labour statistics that translates these legal standards into statistical terms for measurement purposes. The statistical concepts and definitions underpinning the child labour statistics in ILOSTAT are consistent with this resolution at the country, regional and global levels. Although the 20th ICLS in 2018 adopted a more recent resolution on child labour statistics, which incorporates the framework on the forms of work adopted by the 19th ICLS, most countries still use the previous framework. Once a critical mass of household surveys applies the new statistical standards, it will be possible to produce estimates accordingly.
Hazardous work by children is often treated as a proxy category for the worst forms of child labour for two reasons. First, reliable national data on the worst forms of child labour other than hazardous work, such as children in bonded and forced labour or in commercial sexual exploitation, are still difficult to find. Second, children in hazardous work account for the overwhelming majority of those in the worst forms of child labour.
Unpaid household services, or household chores, refer to services children provide without pay for their own households. These include caring for household members, cleaning and minor household repairs, cooking and serving meals, washing and ironing clothes and transporting or accompanying family members to and from work and school. In more technical terms, these tasks constitute a ‘noneconomic’ form of production and are excluded from consideration in the United Nations SNA, the internationally agreed guidelines for measuring national economic activity.
Hazardous unpaid household services involve long hours, an unhealthy environment, unsafe equipment or heavy loads and/or dangerous locations. For statistical measurement, where household chores are included in the calculation of child labour, hazardous household chores refer to those performed by children below the general minimum working age for 21 hours or more per week.
Household services differ from domestic work, the latter of which must be for an employer outside of the child’s own household (paid or unpaid).
For more information on statistical standards, refer to the resolutions:
Method of computation
The starting point for measuring child labour is calculating the number of children aged 5 to 17 in employment. Among them, those in designated hazardous industries and hazardous occupations are identified as being in child labour. Designated hazardous industries are mining, quarrying and construction. Since the publication of the first global estimates of child labour in 2002, an ILO task force has defined 39 hazardous occupations for children. The list is available in the 18th ICLS report on child labour statistics.
Children who work longer hours are also considered as being in child labour. Longer hours is defined as 43 or more hours per week. The figure approximately corresponds to the normal hours of work for adults stipulated by national legislation, mostly from 40 to 44 hours.
The total number of children in designated hazardous industries, in hazardous occupations or working longer hours constitutes the overall number of children in hazardous work.
Obtaining the final estimate of child labour involves adding two more categories to the calculation: children aged 5 to 11 engaged in any form of employment and children aged 12 to 14 working 14 hours or more per week. For those aged 12 to 14, the 14-hour threshold distinguishes between permissible light work and other work. It corresponds to two hours of work per day over a calendar week, covering both school days and holidays.
Measurement framework for the global estimation of child labour
![Child labour statistics conceptual framework](https://ilostat.ilo.org/wp-content/uploads/2021/06/child-labour-conceptual-framework.png)
The child labour statistical framework of the ICLS provides a separate measurement of hazardous unpaid household services by children. The indicator captures the performance of household chores by children aged 5 to 14 for 21 or more hours per week.
The country estimates compiled and presented in ILOSTAT have been re-analyzed by ILO and UNICEF in accordance with the definitions and criteria detailed above. This means that the country data values usually differ from those published and presented in national survey reports.
SDG reporting
For the purposes of SDG reporting, two indicators are used for measuring child labour, the first based on the production boundary set by the United Nations System of National Accounts (SNA) and the second based on the general production boundary. They are as follows:
Indicator 1: Proportion and number of children aged 5-17 years engaged in economic activities at or above age-specific hourly thresholds (SNA production boundary basis), which includes: (a) children aged 5-11 working at least 1 hour per week in economic activity; (b) children aged 12-14 working for at least 14 hours per week in economic activity; and (c) children aged 15-17 working for more than 43 hours per week in economic activity.
Indicator 2: Proportion and number of children aged 5-17 years engaged in economic activities and household chores at or above age-specific hourly thresholds (general production boundary basis), which includes: (a) children aged 5-11 working at least 1 hour per week in economic activity and/or involved in unpaid household services for more than 21 hours per week; (b) children aged 12-14 working for at least 14 hours per week in economic activity and/or involved in unpaid household services for more than 21 hours per week; and (c) children aged 15-17 working for more than 43 hours per week in economic activity.
For more information, refer to the SDG database description.
ILO modelled estimates
To produce modelled estimates, regression techniques established relationships between observed data and explanatory variables, which are good predictors of child labour according to the literature. The selection of explanatory variables was based on economic theory and empirical studies on the determinants of child labour. They include GDP per capita, population data by age and rural/urban areas, employment in agriculture, social protection coverage, educational attainment, fertility rate, unemployment, labour income and youth not in employment, education or training.
Although country-level figures are not available in ILOSTAT for European Union (EU) countries, these are included for the purposes of global estimates. However, the age groups available from EU labour force surveys are not in line with the standard age groupings of the global estimates of child labour. Instead of having the desired 15–17 age band, only the 15–19 age band is available. To avoid the loss of the data for the EU countries, an interpolation procedure to model the 15-17 age group as a function of the 15-19 group, and other information, is carried out for the target indicators. The underlying data files used for this procedure are available here.
For more information on global estimates, refer to the annex of the latest global child labour report.
Data sources
The main sources of child labour statistics are nationally representative household surveys that fully or partially cover children aged 5 to 17. These include multiple indicator cluster surveys (MICS) implemented with the assistance of UNICEF, child labour surveys implemented with the assistance of the ILO, demographic and health surveys (DHS) from USAID, labour force surveys (LFS) and other national household surveys.
For more information on the differences in source types, refer to the Comparison of survey instruments for collecting data on child labour.
Interpretation and uses
Reliable, comprehensive and timely data on the nature and extent of child labour provide a basis for determining priorities for national global action against child labour. Statistical information on child labour, and more broadly on all working children, also provide a basis for increasing public awareness of the situation of working children and for the development of appropriate regulatory frameworks and policies.
Limitations
While the concept of child labour includes working in activities that are hazardous in nature, to ensure comparability of estimates over time and to minimize data quality issues, work beyond age-specific hourly thresholds are used as a proxy for hazardous work. Further methodological work is needed to validate questions specifically aimed at identifying children in hazardous working conditions.
Similarly, while the worst forms of child labour other than hazardous work also form part of the concept of child labour more broadly, data on the worst forms of child labour are not currently captured in regular household surveys given difficulties with accurately and reliably measuring it. Therefore, this element of child labour is not captured by the indicators.
More broadly, child labour estimates based on the statistical standards set out in the ICLS resolution represent useful benchmarks for international comparative purposes but are not necessarily consistent with estimates based on national child labour legislation. ILO Convention No. 138 contains a number of flexibility clauses left to the discretion of the competent national authority in consultation (where relevant) with workers’ and employers’ organizations (e.g., minimum ages, scope of application). This means that there is no single legal definition of child labour across countries, and thus, no single statistical measure of child labour consistent with national legislation across countries.
In addition, for the purpose of indicator 8.7.1 in the Sustainable Development Goals, and with the goal of facilitating international comparability, fetching water and collecting firewood were classified as unpaid household services (i.e., household chores), a form of production that lies outside the SNA production boundary.
Publications
Note: Many publications are available only in English. If available in other languages, a new page will open displaying these options.
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Hard to see, harder to count: Handbook on forced labour surveys
This revised version of the “Hard to see, harder to count” handbook provides an updated set of tools for the design, implementation and analysis of quantitative surveys on the forced labour of adults.
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Methodology of the 2020 ILO-UNICEF Global Estimates of Child Labour
The report presents the methodological protocols used for the development of the 2020 ILO-UNICEF Global Estimates of Child Labour.
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Decent Work and the Sustainable Development Goals: A Guidebook on SDG Labour Market Indicators
This Guidebook provides a detailed overview of the labour market indicators included in the Sustainable Development Goals Global Indicator Framework. It is intended to serve as a manual of best practices for calculating and interpreting the SDG labour market indicators, with a view to monitoring progress made at the national and international levels towards the achievement of the SDGs.
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Sampling elusive populations: Applications to studies of child labour
This manual complements the earlier volume on Sampling for household-based surveys of child labour brought out by within the framework of the ILO-IPEC Statistical Information and Monitoring Programme on Child Labour (SIMPOC) and contributes to survey methodology that goes beyond the particular subject of child labour. Thus, anyone interested in issues and practical solutions to problems such as sampling from imperfect frames or sampling difficult populations would benefit from the contents of this Manual.
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Sampling for household-based surveys of child labour
This manual presents a wide range of sampling techniques for household-based child labour surveys with a particular emphasis on sampling design and selection procedures.