ARG_2019_MICS_v01_M
Multiple Indicator Cluster Survey 2019-2020
Round 6
Name | Country code |
---|---|
Argentina | ARG |
Multiple Indicator Cluster Survey - Round 6 [hh/mics-6]
The sixth round of MICS includes 69 surveys from 61 countries
Household, Individual
The information obtained through MICS surveys – on topics ranging from maternal and child health, education and child mortality to child protection, HIV/AIDS and water and sanitation – is fundamental to sound decision-making and advocacy. Countries also use MICS results to measure their progress towards goals such as the SDGs. In some countries, MICS is the only source of sound population-based data on children and women. In other countries, MICS alternates with other population-based surveys to produce data at higher frequency and is an indispensable component of the data ecosystem. In many countries, MICS is a major data source in national statistical plans. To learn more about the topics covered in MICS and the complete list of indicators, visit the Tools pages on mics.unicef.org.
To collect data, interviewers administer the household questionnaire as well as individual questionnaires to women and men aged 15 to 49 years, to mothers or caretakers of all children under 5 years of age, and a randomly selected child age 5-17. The number of topics covered has increased substantially over the years as demand for data has grown. In addition to collecting information on coverage indicators, MICS also explores knowledge of and attitudes to certain topics, and specific behaviors of women, men and children, enabling analysts to gain insights into factors that may affect women’s and children’s lives. MICS reports routinely disaggregate data by age, gender, education, wealth, location of residence, ethnicity and other stratifiers, in an effort to identify those left behind, and to shed light on disparities. Over the years, MICS developed and introduced novel topics such as assessment of numeracy and literacy skills of children age 7-14, water quality testing for E. coli, and measures of child functioning, early childhood development and social protection. A detailed summary paper describing MICS is available along with all the standard survey tools used from the beginning to the current round.
Argentina
The majority of MICS surveys are designed to be representative at the national level. Sample sizes are sufficient to generate robust data at the regional or provincial levels, and for urban and rural areas. Subnational surveys, covering specific population groups (such as Palestinians in Lebanon) or specific geographical areas (such as selected regions of East in Afghanistan) within countries are also conducted.
Name |
---|
United Nations Children's Fund (UNICEF) |
Name | Role |
---|---|
United Nations Children's Fund (UNICEF) | Design of survey and technical support |
Sample sizes vary greatly from one survey to the other, currently averaging around 12,000 households (for national surveys).
The sample for the Multiple Indicator Cluster Survey (MICS) was designed to provide estimates on a large number of indicators on the situation of children and women at the national level, for areas of residence, and for geographical locations, such as regions, governorates, or districts. A multi-stage, stratified cluster sampling approach was typickly used for the selection of the survey sample. MICS6 surveys are not self-weighting. For reporting national level results, sample weights were used. A more detailed description of the sample design can be found in Appendix A of Final Report.
Start | End |
---|---|
2019 | 2020 |
Use of the dataset must be acknowledged using a citation which would include:
Example:
United Nations Children's Fund (UNICEF). Argentina - Multiple Indicator Cluster Survey 2019-2020, Round 6 (MICS 2019-2020). Ref: ARG_2019_MICS_v01_M. Downloaded from [uri] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
DDI_ARG_2019_MICS_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Data Group | World Bank | Documentation of the study |
2023-07-27
Version 01 (2023-07-27)
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