1. What is child labor data?
Child labor data encompasses information on children's engagement in work that is exploitative, hazardous, or interferes with their education and development. It includes details such as the number of children involved, their ages, types of work performed, working conditions, and the sectors or industries where child labor is prevalent.

2. Why is child labor data important?
Child labor data is crucial for understanding the extent and nature of child labor practices globally and within specific regions or countries. It helps identify vulnerable groups and areas where child labor is prevalent, enabling policymakers and stakeholders to design targeted interventions and policies for its eradication. The data also facilitates monitoring progress in reducing child labor over time.

3. How is child labor data collected?
Child labor data is collected through various methods, including household surveys, labor force surveys, and targeted studies. Data collection efforts involve interviewing individuals or households to gather information on child labor practices, such as the age at which children start working, the number of hours worked, and the conditions under which they work. Additional data sources may include administrative records, national censuses, and reports from relevant institutions or organizations.

4. What are the applications of child labor data?
Child labor data is applied in several ways to combat child labor. It helps identify the root causes and drivers of child labor, allowing policymakers and stakeholders to develop comprehensive strategies and interventions. The data assists in monitoring compliance with legal frameworks and international standards on child labor and evaluating the impact of programs aimed at eradicating child labor. It also informs advocacy efforts and supports evidence-based policymaking.

5. How is child labor data analyzed?
Child labor data analysis involves examining patterns and trends in child labor prevalence, identifying factors associated with child labor, and understanding the industries or sectors where child labor is prevalent. Analysis may involve disaggregating data by age, gender, location, and other relevant variables to identify vulnerable populations. It also helps assess the linkages between child labor and other socio-economic factors, such as poverty, education, and social protection.

6. What are the challenges in analyzing child labor data?
Analyzing child labor data presents several challenges. It includes ensuring data quality and reliability, particularly in contexts where child labor is often hidden or informal. Identifying and defining appropriate indicators for measuring child labor can be complex. Additionally, data collection methods and definitions may vary across countries or studies, making comparisons challenging. Addressing these challenges requires harmonization of data collection approaches and ongoing efforts to improve data accuracy and comparability.

7. How is child labor data used for policy and advocacy?
Child labor data plays a vital role in shaping policies, programs, and advocacy efforts to combat child labor. It informs the development of legislative frameworks and policies aimed at protecting children's rights and promoting their well-being. The data helps prioritize interventions, allocate resources effectively, and monitor progress in achieving national and international targets to eliminate child labor. It also contributes to raising awareness, mobilizing stakeholders, and advocating for stronger measures to eradicate child labor globally.