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    Home / Central Data Catalog / HAN / NPL-CBS-NMICS-2019-V1 / variable [F9]
HAN

Nepal Multiple Indicator Cluster Survey 2019

Nepal, 2019
Women, Children, Health and Nutrition
Central Bureau of Statistics
Created on January 30, 2022 Last modified January 30, 2022 Page views 221567 Download 3246 Documentation in PDF Metadata DDI/XML JSON
  • Study description
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  • Data Description
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  • Data files
  • hh
  • wm
  • mn
  • ch
CSV JSON

Design stratum (dstratum)

Data file: mn

Overview

Valid: 5605
Invalid: 0
Minimum: 11.1
Maximum: 27.2
Type: Discrete
Decimal: 1
Width: 2
Range: 11.1 - 27.2
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11.1 U5 HH, Province 1 Rural 222
4%
11.2 U5 HH, Province 1 Urban 237
4.2%
12.1 U5 HH, Province 2 Rural 186
3.3%
12.2 U5 HH, Province 2 Urban 285
5.1%
13.1 U5 HH, Bagmati province Rural 197
3.5%
13.2 U5 HH, Bagmati province Kathmandu valley urban 297
5.3%
13.3 U5 HH, Bagmati province Other urban 208
3.7%
14.1 U5 HH, Gandaki province Rural 126
2.2%
14.2 U5 HH, Gandaki province Urban 174
3.1%
15.1 U5 HH, Province 5 Rural 205
3.7%
15.2 U5 HH, Province 5 Urban 294
5.2%
16.1 U5 HH, Karnali province Rural 168
3%
16.2 U5 HH, Karnali province Urban 147
2.6%
17.1 U5 HH, Sudoorpaschim province Rural 173
3.1%
17.2 U5 HH, Sudoorpaschim province Urban 180
3.2%
21.1 Not U5 HH, Province 1 Rural 168
3%
21.2 Not U5 HH, Province 1 Urban 205
3.7%
22.1 Not U5 HH, Province 2 Rural 154
2.7%
22.2 Not U5 HH, Province 2 Urban 220
3.9%
23.1 Not U5 HH, Bagmati province Rural 143
2.6%
23.2 Not U5 HH, Bagmati province Kathmandu valley urban 257
4.6%
23.3 Not U5 HH, Bagmati province Other urban 171
3.1%
24.1 Not U5 HH, Gandaki province Rural 99
1.8%
24.2 Not U5 HH, Gandaki province Urban 136
2.4%
25.1 Not U5 HH, Province 5 Rural 174
3.1%
25.2 Not U5 HH, Province 5 Urban 234
4.2%
26.1 Not U5 HH, Karnali province Rural 138
2.5%
26.2 Not U5 HH, Karnali province Urban 124
2.2%
27.1 Not U5 HH, Sudoorpaschim province Rural 146
2.6%
27.2 Not U5 HH, Sudoorpaschim province Urban 137
2.4%
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.
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