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.

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Mongolia - RHS 1998

Reference ID	MNG-NSO-EN-RHS-1998-v1.0
Year	1998
Country	Mongolia
Producer(s)	National Statistical Office of Mongolia
Sponsor(s)	United Nations Population Fund - UNFPA - Sponsor and technical assistance
Collection(s)	Reproductive Health Survey
Metadata	Download DDI Download RDF

Created on	Jul 18, 2013
Last modified	Jul 08, 2014
Page views	392764
Downloads	9703

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

• Data Dictionary
  • Household
  • HouseholdRoster
  • Women
  • Husband
  • Child
• Variable Groups
  • Geographical and interviewer's characteristics
  • Household characteristics
  • Housing characteristics
  • Woman's characteristics
  • Husband's characteristics
  • Child's characteristics

Aimag (AIM)
File: Husband

Overview

Type: Discrete Format: numeric Width: 2 Decimals: 0 Range: 1-97

Valid cases: 1573 Invalid: 0 Minimum: 1 Maximum: 97

Definition

Province

Categories

Value	Category	Cases
1	Arhangai	73	4.6%
2	Bayan-Olgii	50	3.2%
3	Bayanhongor	60	3.8%
4	Bulgan	18	1.1%
5	Govi-Altai	86	5.5%
6	Dornogovi	190	12.1%
7	Dornod	164	10.4%
8	Dundgovi	1	0.1%
9	Zavhan	24	1.5%
10	Selenge	0	0.0%
11	Suhbaatar	38	2.4%
12	Uvs	61	3.9%
13	Tov	36	2.3%
14	Ovorhangai	1	0.1%
15	Omnogovi	3	0.2%
16	Hovd	63	4.0%
17	Hovsgol	2	0.1%
18	Hentii	49	3.1%
19	Darhan-Uul	61	3.9%
20	Orhon	0	0.0%
21	Govisumber	13	0.8%
22	Ulaanbaatar	234	14.9%
25		4	0.3%
26		19	1.2%
27		6	0.4%
34		1	0.1%
35		7	0.4%
36		13	0.8%
37		6	0.4%
45		2	0.1%
46		5	0.3%
47		1	0.1%
54		11	0.7%
55		46	2.9%
56		88	5.6%
57		59	3.8%
64		1	0.1%
65		7	0.4%
66		13	0.8%
67		7	0.4%
74		1	0.1%
75		8	0.5%
76		6	0.4%
77		4	0.3%
84		1	0.1%
85		3	0.2%
86		9	0.6%
87		4	0.3%
95		3	0.2%
96		7	0.4%
97		4	0.3%

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.