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MICS

MICS 2012 (Nalaikh District)

Mongolia, 2012
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Reference ID
DDI-MNG-NSO-EN-MICS-2012-NA-v1.0
Producer(s)
National Statistical Office
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MULTIPLE INDICATOR CLUSTER SURVEY
Metadata
DDI/XML JSON
Created on
Oct 16, 2025
Last modified
Nov 04, 2025
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42640
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    DDI-MNG-NSO-EN-MICS-2012-NA-v1.0

    Title

    MICS 2012 (Nalaikh District)

    Country
    Name Country code
    Mongolia MNG
    Study type

    Multiple Indicator Cluster Survey - Round 1 [hh/mics-1]

    Series Information

    2000, 2005, 2010, 2012

    Abstract

    This report presents the findings of the Child development survey (CDS), conducted by the Statistics Department of Khuvsgul aimag in 2012 with financial and technical support provided by the National Statistics Office (NSO) and United Nations Children's Fund (UNICEF). The survey provides valuable information on the situation of children, women and men in Khuvsgul aimag, for measuring fulfilment of their rights of and was based largely on the needs to monitor progress towards goals and targets pertinent to recent international agreements: the Millennium Declaration, adopted by all 191 United Nations Member States in September 2000, and the Plan of Action of A World Fit For Children, adopted by 189 Member States at the United Nations Special Session on Children in May 2002. Both of these commitments build upon promises made by the international community at the 1990 World Summit for Children.

    Survey objectives
    Khuvsgul aimag "Child Development Survey 2012" (CDS) has the following primary objectives:
    • To provide up-to-date information for assessing at the aimag level the following national and international level policies and programmes - the World Fit for Children Declaration - Millennium Development Goals - Reproductive Health Programme • To serve the baseline for UNICEF's Country Programme 2012-2016 • To build the capacity of the Statistics Department of the aimag

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household and household members

    Version

    Version Description

    Version 1.0

    Version Date

    2017-05-15

    Coverage

    Geographic Coverage

    Nalaikh District

    Universe

    In total, 1,000 households selected for the sample, and of these 956 were found to be available for the survey. Of these, 949 households were successfully interviewed for a household response rate of 99 percent. In the interviewed households, out of the total 799 men and 929 women, age 15-49 years, enlisted for the survey, 705 men and 889 women were successfully interviewed, yielding a response rate of 88 and 96 percent respectively. In addition, 433 children under age of 5 and 896 children age 2-14 years were listed in the household questionnaire. Questionnaires were completed with mothers/ caretakers for 429 of these under-5 children and for 894 of children age 2-14, which corresponds to response rates of 99 and 100 percent respectively, within interviewed households. Nalaikh district’s overall response rates stand at 88 percent for men, 95 percent for women age 15-49 years, 98 percent and 99 percent are calculated for mothers/ caretakers of children under 5's and children age 2-14's respectively (please refer to Table HH.1). However, the response rate for men age 15-49 years’ interviews is relatively lower than the response rates for other interviews, because of the dynamic mobility nature of men, particularly of young men.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Statistical Office SGH
    Funding Agency/Sponsor
    Name Abbreviation Role
    United Nations Children's Fund UNICEF Funding of survey implementation
    United Nations Population Fund UNFPA Funding of survey implementation

    Sampling

    Sampling Procedure

    Sample design
    The Child development survey is a household-based survey. Therefore households are defined as the sampling units. The sample for the survey was designed to provide estimates for a large number of indicators on the situation of children, women and men at the aimag (province) level. The total sample size was determined as 2,000 households and it was variably allocated for each of the soums depending on the respective number of households.
    The lowest administrative units (bagh of soum's in the aimag) were defined as primary sampling units (PSUs). In total for the Khuvsgul aimag, 80 PSUs were selected systematically with probability proportional to size. After a household listing of the selected PSUs was carried out by the soum's state treasury representative and the bagh governor, 25 households were selected using systematic random sampling in each PSU.
    During the data collection fieldwork in August-September 2012, we had encountered a problem due to nonappearance of families at the registered addresses, and absence of family members, because of seasonal movement for livestock hay and fodder preparation, as well as during the vacation period. In spite of this, we managed to collect survey data from the selected baghs.
    Data were collected from the households in the sample, and for reporting aimag level results, sample weights are used.

    Survey instrument

    Questionnaires

    Based on the five core questionnaires contents of the Mongolia Child Development Survey, conducted nationwide in 2010, certain additional module and questions were added for the Khuvsgul "Child development survey 2012". Based on the current priorities and needs, the questionnaire for men age 15-49 years was taken from all the households for this round of CDS. Altogether five types of questionnaires were used:

    1. A Household Questionnaire
    2. A Questionnaire for Woman age 15-49
    3. A Questionnaire for Child under 5
    4. A Questionnaire for Child age 2-14
    5. A Questionnaire for Man age 15-49
      In addition to the administration of the questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, observed the place for hand washing and measured the weights and heights of children age under 5 years. Details and findings of these measurements and observations are provided in the respective sections of the report.

    The Household Questionnaire1 included the following modules:

    • Household Listing Form
    • Internal Migration
    • Education
    • Water and Sanitation
    • Household Characteristics
    • Child Labour
    • Child Discipline
    • Hand Washing
    • Salt Iodization

    Data collection

    Dates of Data Collection
    Start End
    2012-09-30 2012-12-28
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Affiliation Abbreviation
    National Statistical Office SGH NSO
    Data Collection Notes

    Training for the fieldwork personnel was conducted for nine days on 1-9 July 2012, including both forms of lectures and practice sessions.
    The lectures held by the experts in the relevant field and practices were done for each group of questionnaires. In collaboration with the Nutrition Research Centre of the Public Health Institute, 20 trainees practiced child anthropometry measurements and iodine content of salts. At the end of the lectures and practices on child anthropometry measurements. Finally, the participants took tests and the interviewers, editors and supervisors were selected based on their performance on the tests.
    The data were collected by two teams; each team was comprised of a supervisor, an editor and 5 interviewers (2 men assigned as main measurers4). The data collection fieldwork for the Nalaikh District's "Child Development Survey-2012" was carried out in July-August 2012 for the duration of 50 days. The process and quality had been monitored by the Statistics Department of Nalaikh District. Fieldwork personnel's achievements and disadvantages had been discussed during the monitoring visits and necessary actions had been taken accordingly.

    Data processing

    Data Editing

    The data collected from the selected households were entered on computers using the CSPro 4.0 software program by one data entry supervisor and two data entry operators from 20 August to 10 September 20125. In order to ensure quality control, all data were double entered and internal consistency checks were performed before finalization of the database. The procedures and standard programs developed under the global MICS4 programme and adapted to the Nalaikh CDS's customized questionnaires with additional module and questions were used throughout.
    The data were analyzed using the standard SPSS 18.0 (Statistical Package for Social Sciences) software program and the model syntax and tabulation plans developed by UNICEF were customized for Nalaikh CDS 2012 questionnaires.

    Data appraisal

    Estimates of Sampling Error

    The sample of respondents selected in the Nalaikh District Multiple Indicator Cluster Survey 2012 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 slightly 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. The results are shown in the tables that follow. 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 the district results. Three of the selected indicators are based on households, 24 are based on household members, 53 are based on women, 34 are based on men, 40 are based on children under 5 and 2 are based on children age 2-14 years. All indicators presented here are in the form of proportions. Table SE.1 shows the list of indicators for which sampling errors are calculated, including the base population (denominator) for each indicator.

    Data Access

    Access authority
    Name Affiliation Email
    Ms. Altantsetseg Togtoo senior officer, Population and Social Statistics Department altantsetseg@nso.mn
    D.Khurelmaa UNICEF
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes 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.
    Access conditions

    Survey datasets are distributed at no cost for legitimate research, with the condition that we receive an abstract or a detailed description of any research project that will be using the data prior to authorizing their distribution. Copies of all reports and publications based on the requested data must be sent to the National Statistical Office of Mongolia : international@nso.mn and UNICEF: ulaanbaatar@unicef.org.

    Requests for access to the datasets made through the website mics.unicef.org and www.nso.mn.

    Citation requirements

    The following statement must be used as citation: "Source of data: National Statistics Office of Mongolia, Multiple Indicator Cluster Survey: Child Development 2012-2013, Version 1.0 of the dataset (August 2012), provided by UNICEF"

    Disclaimer and copyrights

    Disclaimer

    The National Statistical Office of Mongolia and UNICEF provide these data to external users without any warranty or responsibility implied. The National Statistical Office of Mongolia and UNICEF accept no responsibility for the results and/or implications of any actions resulting from the use of these data.

    Copyright

    (c) 2012, National Statistics Office of Mongolia

    Contacts

    Contacts
    Name Affiliation Email
    National Statistics Office of Mongolia international@nso.mn
    Ms. Altantsetseg Togtoo senior officer, Population and Social Statistics Department altantsetseg@nso.mn
    Ms. Lkhagvatseren Dulmaa officer, Information Technology Department lkhagvatseren@nso.mn

    Metadata production

    DDI Document ID

    DDI-MNG-NSO-EN-MICS-2012-NA-v1.0

    Producers
    Name Abbreviation Affiliation Role
    National Statistical Office NSO SGH Documentation of the study
    Date of Metadata Production

    2017-05-15

    Metadata version

    DDI Document version

    version 1.0

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