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| UNICEF MICS | |
|---|---|
| Name | Multiple Indicator Cluster Surveys |
| Formation | 1995 |
| Founder | United Nations Children's Fund |
| Type | International statistical survey program |
| Headquarters | New York City |
| Region served | Global |
| Parent organization | United Nations Children's Fund |
UNICEF MICS The Multiple Indicator Cluster Surveys program provides standardized household survey data on children and women across countries to monitor progress toward international goals. MICS is implemented by the United Nations Children's Fund in collaboration with national statistical offices, aiming to produce comparable indicators related to health, nutrition, water, sanitation, protection, and early childhood development. Its outputs support monitoring for initiatives linked to the Sustainable Development Goals, Millennium Development Goals, and regional frameworks such as the African Union's agendas.
MICS offers a recurrent, standardized survey toolkit designed to generate internationally comparable indicators for populations of interest in countries like India, Nigeria, Pakistan, Indonesia, and Brazil. The program aligns with reporting mechanisms for instruments such as the Inter-Agency Group on Child Mortality Estimation, the World Health Organization's Global Health Observatory, and the World Bank's World Development Indicators. MICS questionnaires integrate modules reflecting standards from bodies including the Demographic and Health Surveys Program, the United Nations Statistical Commission, and the Global Partnership for Education to enable cross-country analysis by researchers at institutions like Harvard University, London School of Hygiene & Tropical Medicine, and Johns Hopkins University.
MICS was launched in the mid-1990s by the United Nations Children's Fund to fill data gaps after reviews at events including the World Summit for Children and consultations with the United Nations Economic and Social Council. The program evolved through collaborations with entities such as the United Nations Development Programme, the United Nations Population Fund, and the World Health Organization. Iterations (MICS1 to MICS6) incorporated lessons from surveys like the Demographic and Health Surveys Program and from large-scale censuses in countries such as China and Russia. Key milestones include integration of indicators for the Sustainable Development Goals and methodological refinements influenced by the International Household Survey Network and the International Monetary Fund's statistical standards.
MICS employs probability sampling designs typically based on recent national censuses conducted by national statistical offices like those of Kenya, South Africa, and Canada. Standardized questionnaires are administered by trained enumerators, often drawing on sampling manuals from the United Nations Statistical Division and technical guidance from the World Health Organization and the Centers for Disease Control and Prevention. Data collection can use paper questionnaires or computer-assisted personal interviewing technologies endorsed by the International Telecommunication Union. Core methodological components include cluster sampling, household listing, anthropometric measurements following WHO Child Growth Standards, and biomarker collection in some rounds similar to protocols used by the Demographic and Health Surveys Program and the Malaria Indicator Survey.
MICS covers modules on child mortality, nutrition, immunization, water and sanitation, early childhood development, child protection, education, and adolescent health. Specific indicators mirror taxonomy used by the Sustainable Development Goals and the Global Nutrition Monitoring Framework. Modules measure breastfeeding practices referenced by WHO guidance, vaccination status aligned with the Global Vaccine Action Plan, and stunting/wasting per the WHO Child Growth Standards. Additional modules address topics reflected in international agreements such as the Convention on the Rights of the Child and draw upon tools from the Early Childhood Development Index and the Household Survey Standardization Project.
MICS has been implemented in low-, middle-, and high-income countries across regions including Sub-Saharan Africa, South Asia, Latin America and the Caribbean, and Eastern Europe and Central Asia. Countries with multiple rounds include Bangladesh, Ethiopia, Ghana, Nepal, and Ukraine. The program coordinates with regional bodies such as the African Union Commission, the Association of Southeast Asian Nations, and the Organisation of Islamic Cooperation to support national capacity-building. Data dissemination practices mirror those of the World Bank and the United Nations Data Portal, enabling researchers from institutions like Oxford University, Columbia University, and Stanford University to conduct secondary analysis.
MICS data inform national policies on child health and social protection devised by ministries and international partners such as the World Bank, UNDP, and WHO. Findings have been cited in reports by UNICEF, the World Health Organization, and the Gavi, the Vaccine Alliance to guide immunization campaigns, nutrition programs, and water, sanitation, and hygiene initiatives. Researchers and NGOs such as Save the Children, International Rescue Committee, and Oxfam use MICS datasets to evaluate interventions and monitor trends relevant to the Sustainable Development Goals and advocacy at forums like the UN General Assembly.
Critiques of MICS parallel those of large-scale household surveys including concerns about recall bias, sampling frame inaccuracies tied to outdated censuses, and limited frequency compared with real-time surveillance systems used by the World Health Organization and the Centers for Disease Control and Prevention. Analysts from institutions such as University College London and London School of Economics have noted challenges in capturing marginalized populations documented in reports by Human Rights Watch and Amnesty International. Technical debates involve comparisons with the Demographic and Health Surveys Program over questionnaire harmonization, biomarker scope, and the balance between standardized modules and country-specific adaptations.
Category:Surveys