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 (NALAIKH DISTRICT) › variable [V459]

Mongolia - MICS 2016 (Nalaikh District)

Reference ID	DDI-MNG-NSO-EN-MICS-2016-NA-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	7043681
Downloads	12790262

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

• Data Dictionary
  • bh
  • ch
  • hh
  • hl
  • mn
  • vc
  • wm
• 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 Birth History
  • Group Desire for Last birth
  • Group Material and New Born Health
  • Group Post-Natal Health Checks
  • Group Attitudes Towards Domestic Violence
  • Group Marriage/Union
  • Group Sexual Behaviour
  • Group Illness Symptoms
  • Group Contraception
  • Group HIV/ AIDS
  • Group Unmet Need
  • Group Tobacco and Alcohol Use
  • Group Life Satisfaction
  • Group Age
  • Group Birth Registration
  • Group Early Childhood Development
  • Group Breastfeeding
  • Group Immunization
  • Group Care of Illness
  • Group Child FUNCTIONING
  • Group Anthropometry

Name and line number of the respondent (HH10)
File: hh

Overview

Type: Discrete Format: numeric Width: 2 Decimals: 0 Range: 1-7

Valid cases: 975 Invalid: 25

Categories

Value	Category	Cases
1		467	47.9%
2		437	44.8%
3		54	5.5%
4		11	1.1%
5		5	0.5%
7		1	0.1%
Sysmiss		25

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.