Exploring Nigeria MICS 2021: A Resource for Research on Health, Education and Inequality
Short description
Nigeria MICS 2021 brings together information on households, women, men and children. This introduction explores how the data are organised and how researchers can use them to investigate health, education, living conditions and social inequalities.
Understanding everyday lives through data
A child’s education, a woman’s health and a household’s living conditions are closely connected. Studying these connections requires data that bring different aspects of people’s lives into the same research setting.
The Nigeria Multiple Indicator Cluster Survey 2021, or Nigeria MICS 2021, provides such a resource. Implemented by Nigeria’s National Bureau of Statistics as part of the UNICEF-supported MICS programme, it is a household sample survey covering topics including health, education, nutrition, child protection, water, sanitation and hygiene. It offers researchers a basis for exploring how experiences and opportunities differ across population groups. Official survey report
How is the information organised?
The survey contains several related data files, each representing a particular group or level of observation. These include households, individual household members, women and men aged 15–49, children under five, and children aged 5–17. Additional files contain information such as birth histories. Data file overview
For example, the household file, commonly named hh, records household circumstances, including housing characteristics and water and sanitation. The women’s file, wm, contains information about women’s backgrounds, reproductive health and other experiences. Researchers can select the files relevant to their question and, where needed, link records using the documented household and individual identifiers. Checking these identifiers and the unit of observation is essential before combining files. Household data dictionary, Women’s data dictionary
What could researchers explore?
The range of topics makes MICS useful for questions that cross disciplinary boundaries. Possible starting points include:
How do children’s school attendance and learning experiences differ across household circumstances?
How are women’s health experiences associated with age, education and household wealth?
How does access to water and sanitation vary between population groups?
Which inequalities become visible when national indicators are examined by place of residence or socioeconomic background?
These are starting points for analysis. Each question needs to be matched to the relevant questionnaire, eligible population and available variables. The survey documentation and data dictionaries help researchers make those choices. Survey overview, Children’s data dictionary
A practical example: menstruation and participation
One application is investigating whether menstruation affects participation in everyday activities. The women’s questionnaire includes a variable, UN16, recording whether respondents missed social activities, school or work because of menstruation. This creates an opportunity to explore how reported exclusion varies across groups. Because the question combines several types of activity, the resulting measure should be described as menstrual-related absence or exclusion; it does not separately identify school absence and workplace absence. UN16 variable documentation
Considering this outcome alongside age, education, household wealth and menstrual hygiene conditions can help researchers develop questions about health and social participation. Such analysis can identify associations and inform further investigation into the reasons behind them.
Getting started thoughtfully
A useful first step is to read the official report and questionnaire, then inspect the relevant data dictionary. Researchers should check eligibility rules, missing-value codes and the meaning of each measure.
Analysis also needs to account for the survey’s sampling design, including the appropriate weights, clusters and strata. Simply counting records will not necessarily produce population estimates. As a cross-sectional survey, MICS supports the study of patterns and associations, while causal explanations require additional evidence. Survey design overview
The World Bank Microdata Library directs users to the UNICEF MICS survey portal for data access. Researchers should follow the applicable access conditions and acknowledge the survey in their work.
Nigeria MICS 2021 offers a starting point for connecting everyday experiences with wider questions about development and inequality. A carefully chosen question, supported by an understanding of the survey, can turn its detailed records into useful evidence.