Multiple Indicator Cluster Survey 2012
Belarus, 2012
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Reference ID
BLR_2012_MICS_v01_M
Producer(s)
National Statistical Committee of the Republic of Belarus, United Nations Children’s Fund
Collection(s)
Metadata
Created on
Sep 12, 2014
Last modified
Sep 26, 2014
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Identification
Survey ID Number
BLR_2012_MICS_v01_M
Title
Multiple Indicator Cluster Survey 2012
Country/Economy
| Name | Country code |
|---|---|
| Belarus | BLR |
Study type
Multiple Indicator Cluster Survey - Round 4 [hh/mics-4]
Series Information
The Multiple Indicator Cluster Survey, Round 4 (MICS4) is the forth round of MICS surveys, previously conducted around 1995 (MICS1), 2000 (MICS2), and 2005-2007 (MICS3). MICS was originally developed to support countries measure progress towards an internationally agreed set of goals that emerged from the 1990 World Summit for Children.
The fourth round of Multiple Indicator Cluster Surveys (MICS4) is scheduled for 2009-2011 and survey results are expected to be available from 2010 onwards. MICS4 data allow countries to better monitor progress toward national goals and global commitments, including the Millennium Development Goals (MDGs) as the target year 2015 approaches.
Information on more than 20 of the MDG indicators is being collected through MICS4, offering one of the largest single sources of data for MDG monitoring. MICS4 continues to address emerging issues and new areas of interest, with validated, standard methodologies in collecting relevant data. It also helps countries capture rapid changes in key indicators.
The fourth round of Multiple Indicator Cluster Surveys (MICS4) is scheduled for 2009-2011 and survey results are expected to be available from 2010 onwards. MICS4 data allow countries to better monitor progress toward national goals and global commitments, including the Millennium Development Goals (MDGs) as the target year 2015 approaches.
Information on more than 20 of the MDG indicators is being collected through MICS4, offering one of the largest single sources of data for MDG monitoring. MICS4 continues to address emerging issues and new areas of interest, with validated, standard methodologies in collecting relevant data. It also helps countries capture rapid changes in key indicators.
Abstract
The Belarus Multiple Indicator Cluster Survey (MICS) of children and women was carried out in 2012 by the National Statistical Committee of the Republic of Belarus in cooperation with the main statistical departments of all oblasts and the city of Minsk.
Financial, methodological and technical support was provided by the United Nations Children's Fund (UNICEF).
MICS is an international household survey programme developed by UNICEF.
The survey is conducted in the Republic of Belarus as part of the fourth global round of MICS surveys (MICS4) and provides up-to-date information on the situation of children and women and measures key indicators that allow countries to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments.
The goal of MICS4 in the Republic of Belarus is to obtain objective information on the mother and child health and child development and education. This type of survey was conducted in the republic for the second time, as Belarus was part of MICS3 in 2005-2007, and made it possible to obtain information on important aspects of the life of children, namely: their state of nutrition and health, the prevalence of child labour, the main methods of raising a child in a family and on the various activities that promote learning in early childhood. Also, due to MICS4 survey a number of indicators were studied for the first time: reproductive behaviour of women, attitude of women and men to domestic violence, sexual behaviour of young people, life satisfaction and other topical for the Republic of Belarus issues.
Financial, methodological and technical support was provided by the United Nations Children's Fund (UNICEF).
MICS is an international household survey programme developed by UNICEF.
The survey is conducted in the Republic of Belarus as part of the fourth global round of MICS surveys (MICS4) and provides up-to-date information on the situation of children and women and measures key indicators that allow countries to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments.
The goal of MICS4 in the Republic of Belarus is to obtain objective information on the mother and child health and child development and education. This type of survey was conducted in the republic for the second time, as Belarus was part of MICS3 in 2005-2007, and made it possible to obtain information on important aspects of the life of children, namely: their state of nutrition and health, the prevalence of child labour, the main methods of raising a child in a family and on the various activities that promote learning in early childhood. Also, due to MICS4 survey a number of indicators were studied for the first time: reproductive behaviour of women, attitude of women and men to domestic violence, sexual behaviour of young people, life satisfaction and other topical for the Republic of Belarus issues.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- individuals
- households
- households
Version
Version Description
- v01: Edited, anonymous datasets for public distribution.
Scope
Notes
The scope of the Belarus Multiple Indicator Cluster Survey includes:
- Household: Household Information Panel, Household Listing Form, Education, Water and Sanitation, Household Characteristics, Child Labour, Child Discipline, Prevention of Iodine Deficiency (IDD);
- Women: Woman's Information Panel, Woman's Background, Access To Mass Media And Use of Information/Communication Technology, Live Birth, Desire for Last Birth, Maternal and Newborn Health, Post-Natal Health Checks, Illness Symptoms, Contraception, Unmet Need, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction;
- Children: Under-Five Child Information Panel, Age, Early Childhood Development, Breastfeeding, Care of Illness;
- Men: Man's Information Panel, Man's Background, Access To Mass Media And Use of Information/Communication Technology, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction.
- Household: Household Information Panel, Household Listing Form, Education, Water and Sanitation, Household Characteristics, Child Labour, Child Discipline, Prevention of Iodine Deficiency (IDD);
- Women: Woman's Information Panel, Woman's Background, Access To Mass Media And Use of Information/Communication Technology, Live Birth, Desire for Last Birth, Maternal and Newborn Health, Post-Natal Health Checks, Illness Symptoms, Contraception, Unmet Need, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction;
- Children: Under-Five Child Information Panel, Age, Early Childhood Development, Breastfeeding, Care of Illness;
- Men: Man's Information Panel, Man's Background, Access To Mass Media And Use of Information/Communication Technology, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction.
Coverage
Geographic Coverage
National
Universe
The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household, and all men aged 15-59 years.
Producers and sponsors
Primary investigators
| Name |
|---|
| National Statistical Committee of the Republic of Belarus |
| United Nations Children’s Fund |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| United Nations Children’s Fund | UNICEF | Financial, methodological and technical support |
Other Identifications/Acknowledgments
| Name |
|---|
| Main statistical departments of all oblasts and the city of Minsk |
Sampling
Sampling Procedure
The primary objective of the sample design for the Belarus Multiple Indicator Cluster Survey was to obtain statistically reliable estimates for most indicators, at the national level, for areas classified as urban and rural, as well as seven regions of the country: Brest, Vitebsk, Gomel, Grodno, Minsk, Mogilev regions and the city of Minsk.
A multi-stage, stratified cluster sampling approach was used for the selection of the survey sample.
The target sample size for the Belarus MICS was calculated as 8,520 households, including 3,408 households with children under 5 years old.
The sampling procedures are fully described in "Belarus Multiple Indicator Cluster Survey 2012 - Final Report" pp.223-228.
A multi-stage, stratified cluster sampling approach was used for the selection of the survey sample.
The target sample size for the Belarus MICS was calculated as 8,520 households, including 3,408 households with children under 5 years old.
The sampling procedures are fully described in "Belarus Multiple Indicator Cluster Survey 2012 - Final Report" pp.223-228.
Response Rate
Household questionnaires: Number completed 8,284, Response rate 98.0
Questionnaires for individual women (age 15-49): Number completed 5,745, Response rate 97.2
Questionnaires for individual men (age 15-59): Number completed 2,769*, Response rate 94.7
Questionnaires for children under five: Number completed 3,443, Response rate 99.4
* Men were interviewed in each third household of the clusters visited.
Questionnaires for individual women (age 15-49): Number completed 5,745, Response rate 97.2
Questionnaires for individual men (age 15-59): Number completed 2,769*, Response rate 94.7
Questionnaires for children under five: Number completed 3,443, Response rate 99.4
* Men were interviewed in each third household of the clusters visited.
Weighting
The Belarus MICS4 sample is not self-weighting.
The weighting is fully described in "Belarus Multiple Indicator Cluster Survey 2012 - Final Report" pp.228-229.
The weighting is fully described in "Belarus Multiple Indicator Cluster Survey 2012 - Final Report" pp.228-229.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2012-03-28 | 2012-07-02 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Fieldwork was carried out between March 28 and July 2, 2012.
Data Collectors
| Name |
|---|
| National Statistical Committee of the Republic of Belarus |
Questionnaires
Questionnaires
The questionnaires for the Generic MICS were structured questionnaires based on the MICS4 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includesHousehold Listing Form, Education, Water and Sanitation, Household Characteristics, Child Labour, Child Discipline, Prevention of Iodine Deficiency (IDD).
In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49, children under age five and men age 15-49 and men age 15-59. For children, the questionnaire was administered to the mother or primary caretaker of the child.
The women's questionnaire includes Woman's Background, Access To Mass Media And Use of Information/Communication Technology, Live Birth, Desire for Last Birth, Maternal and Newborn Health, Post-Natal Health Checks, Illness Symptoms, Contraception, Unmet Need, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction.
The children's questionnaire includes Child's age, Early Childhood Development, Breastfeeding, Care of Illness.
The men's questionnaire includes Man's Background, Access To Mass Media And Use of Information/Communication Technology, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction.
In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49, children under age five and men age 15-49 and men age 15-59. For children, the questionnaire was administered to the mother or primary caretaker of the child.
The women's questionnaire includes Woman's Background, Access To Mass Media And Use of Information/Communication Technology, Live Birth, Desire for Last Birth, Maternal and Newborn Health, Post-Natal Health Checks, Illness Symptoms, Contraception, Unmet Need, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction.
The children's questionnaire includes Child's age, Early Childhood Development, Breastfeeding, Care of Illness.
The men's questionnaire includes Man's Background, Access To Mass Media And Use of Information/Communication Technology, Marriage/Union, Attitudes Toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction.
Data Processing
Data Editing
Data were entered using the CSPro software. The data were entered on 15 computers and carried out by 15 data entry operators on a shift system basis and two data entry supervisors. In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS4 programme and adapted to the Belarus questionnaire were used throughout. Data entry was launched simultaneously with data collection in April 2012 and was completed in July 2012. During August-December 2012, works was carried out on editing the database and forming the main output tables of the survey.
Data Appraisal
Estimates of Sampling Error
The sample of respondents selected in the Belarus Multiple Indicator Cluster Survey is only one of the samples that could have been selected from the same population, using the same design and size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data.
The following sampling error measures are presented in this appendix for each of the selected indicators:
- Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions, etc.). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors.
- Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error.
- Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates the increase in the standard error due to the use of a more complex sample design.
- Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey, the value of that statistic will fall within a range of plus or minus two times the standard error (r + 2.se or r - 2.se) of the statistic in 95 percent of all possible samples of identical size and design.
For the calculation of sampling errors from MICS data, SPSS Version 18 Complex Samples module has been used. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator.
Sampling errors are calculated for indicators of primary interest, for the national level, for the districts, and for urban, rural coastal, rural interior, and total rural areas. One of the selected indicators is based on households, 5 are based on household members, 16 are based on women, 7 are based on children under 5, and 9 are based on men. All indicators presented here are in the form of proportions.
The following sampling error measures are presented in this appendix for each of the selected indicators:
- Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions, etc.). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors.
- Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error.
- Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates the increase in the standard error due to the use of a more complex sample design.
- Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey, the value of that statistic will fall within a range of plus or minus two times the standard error (r + 2.se or r - 2.se) of the statistic in 95 percent of all possible samples of identical size and design.
For the calculation of sampling errors from MICS data, SPSS Version 18 Complex Samples module has been used. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator.
Sampling errors are calculated for indicators of primary interest, for the national level, for the districts, and for urban, rural coastal, rural interior, and total rural areas. One of the selected indicators is based on households, 5 are based on household members, 16 are based on women, 7 are based on children under 5, and 9 are based on men. All indicators presented here are in the form of proportions.
Data Appraisal
A series of data quality tables are available to review the quality of the data and include the following:
- Age and sex distribution of the household population
- Age distribution of eligible and interviewed women
- Age distribution of eligible and interviewed men
- Age distribution of under-5s in household and under 5 questionnaires
- Women's completion rates by socio-economic characteristics of households
- Men's completion rates by socio-economic characteristics of households
- Completion rates for under-5 questionnaires by socio-economic characteristics of households
- Completeness of reporting
- Presence of mother in the household and the person interviewed for the under-5 questionnaire
- Selection of children age 2-14 years for the child discipline module
- School attendence by five-year age group
The results of each of these data quality tables are shown in appendix D in document "Belarus Multiple Indicator Cluster Survey 2012 - Final Report" pp.254-262.
- Age and sex distribution of the household population
- Age distribution of eligible and interviewed women
- Age distribution of eligible and interviewed men
- Age distribution of under-5s in household and under 5 questionnaires
- Women's completion rates by socio-economic characteristics of households
- Men's completion rates by socio-economic characteristics of households
- Completion rates for under-5 questionnaires by socio-economic characteristics of households
- Completeness of reporting
- Presence of mother in the household and the person interviewed for the under-5 questionnaire
- Selection of children age 2-14 years for the child discipline module
- School attendence by five-year age group
The results of each of these data quality tables are shown in appendix D in document "Belarus Multiple Indicator Cluster Survey 2012 - Final Report" pp.254-262.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| ChairmanVladimir Zinovsky | National Statistical Committee of the Republic of Belarus | belstat@mail.belpak.by |
| Yuri Oksamitniy | UNICEF Representative | yoksamitniy@unicef.org |
Confidentiality
Users of the data agree to keep confidential all data contained in these datasets and to make no attempt to identify, trace or contact any individual whose data is included in these datasets.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download.
Example,
National Statistical Committee of the Republic of Belarus and United Nations Children’s Fund. Belarus Multiple Indicator Cluster Survey (MICS) 2012, Ref. BLR_2012_MICS_v01_M. Dataset downloaded from [url] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download.
Example,
National Statistical Committee of the Republic of Belarus and United Nations Children’s Fund. Belarus Multiple Indicator Cluster Survey (MICS) 2012, Ref. BLR_2012_MICS_v01_M. Dataset downloaded from [url] on [date].
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Childinfo | UNICEF | mics@unicef.org | Link |
Disclaimer and copyrights
Disclaimer
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.
Metadata production
DDI Document ID
DDI_BLR_2012_MICS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2014-01-14
DDI Document version
Version 01 (January 2014)