This archive provides information describing the content, methodology and implementation of census and survey conducted by the NSO of Mongolia, as well as descriptions of micro data files with the variable documentation.

Home › MULTIPLE INDICATOR CLUSTER SURVEY › MICS 2016 (KHUVSGUL AIMAG) › variable [V126]

Mongolia - MICS 2016 (Khuvsgul Aimag)

Reference ID	DDI-MNG-NSO-EN-MICS-2016-KH-v1.0
Year	2016
Country	Mongolia
Producer(s)	National Statistical Office - SGH
Sponsor(s)	United Nations Children's Fund - UNICEF - Funding of survey implementation United Nations Population Fund - UNFPA - Funding of survey implementation
Collection(s)	Multiple Indicator Cluster Survey
Metadata	Download DDI Download RDF

Created on	Dec 18, 2017
Last modified	Dec 18, 2017
Page views	715760
Downloads	8891

• Study Description
• Data Dictionary
• Get Microdata
• Related Materials

• Data Dictionary
  • hh
  • ch
  • hl
  • wm
  • mn
  • vc
  • bh
• Variable Groups
  • Group Interview of Household identification
  • Group Water and Sanitation
  • Group Household characteristics
  • Group Education
  • Group Child Labour
  • Group Child Displine
  • Group Hand Washing
  • Group Information Panel
  • Group Background
  • Group Access to mass media and use of information communication technology
  • Group Fertility
  • Group Attitudes Towards Domestic Violence
  • Group Marriage/Union
  • Group Sexual Behaviour
  • Group HIV/ AIDS
  • Group Tobacco and Alcohol Use
  • Group Life Satisfaction
  • Group Birth History
  • Group Desire for Last birth
  • Group Material and New Born Health
  • Group Illness Symptoms
  • Group Contraception
  • Group Unmet Need
  • Group Age
  • Group Birth Registration
  • Group Early Childhood Development
  • Group Breastfeeding
  • Group Immunization
  • Care of Illness
  • Group Child FUNCTIONING
  • Group Anthropometry

IS YOUR GER WALL SINGLE LAYERED OR DOUBLE LAYERED IN WINTER TIME? (HC5A)
File: hh

Overview

Type: Discrete Format: numeric Width: 2 Decimals: 0 Range: 41-99

Valid cases: 1367 Invalid: 1283

Categories

Value	Category	Cases
41	Single	385	28.2%
42	Double	982	71.8%
99	Missing	0	0.0%
Sysmiss		1283

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.