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    Home / Central Data Catalog / MICS / BGD_2012_MICS_V01_M / variable [F17]
MICS

Multiple Indicator Cluster Survey 2012-2013

Bangladesh, 2012 - 2013
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Reference ID
BGD_2012_MICS_v01_M
Producer(s)
United Nations Children’s Fund, Bangladesh Bureau of Statistics
Collection(s)
UNICEF Multiple Indicator Cluster Surveys (MICS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 15, 2015
Last modified
Dec 15, 2015
Page views
92285
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  • Study Description
  • Data Description
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  • ch
  • hh
  • hl
  • wm

District (HH7A)

Data file: hh

Overview

Valid: 55120
Invalid: 0
Minimum: 1
Maximum: 94
Type: Discrete
Decimal: 0
Start: 23
End: 24
Width: 2
Range: 1 - 94
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bagerhat 980
1.8%
3 Bandarban 1000
1.8%
4 Barguna 1000
1.8%
6 Barisal 800
1.5%
9 Bhola 1000
1.8%
10 Bogra 800
1.5%
12 Brahmanbaria 800
1.5%
13 Chandpur 800
1.5%
15 Chittagong 800
1.5%
18 Chuadanga 800
1.5%
19 Comilla 800
1.5%
22 Cox's Bazar 1000
1.8%
26 Dhaka 800
1.5%
27 Dinajpur 800
1.5%
29 Faridpur 800
1.5%
30 Feni 800
1.5%
32 Gaibandha 980
1.8%
33 Gazipur 800
1.5%
35 Gopalganj 800
1.5%
36 Habiganj 1000
1.8%
38 Joypurhat 800
1.5%
39 Jamalpur 1000
1.8%
41 Jessore 800
1.5%
42 Jhalokati 800
1.5%
44 Jhenaidah 800
1.5%
46 Khagrachhari 1000
1.8%
47 Khulna 1000
1.8%
48 Kishorganj 800
1.5%
49 Kurigram 1000
1.8%
50 Kushtia 800
1.5%
51 Lakshmipur 800
1.5%
52 Lalmonirhat 800
1.5%
54 Madaripur 800
1.5%
55 Magura 800
1.5%
56 Manikganj 800
1.5%
57 Meherpur 800
1.5%
58 Maulvibazar 800
1.5%
59 Munshiganj 800
1.5%
61 Mymensingh 800
1.5%
64 Naogaon 800
1.5%
65 Narail 800
1.5%
67 Narayanganj 800
1.5%
68 Narsingdi 800
1.5%
69 Natore 800
1.5%
70 Nawabganj 800
1.5%
72 Netrakona 1000
1.8%
73 Nilphamari 1000
1.8%
75 Noakhali 800
1.5%
76 Pabna 800
1.5%
77 Panchagarh 800
1.5%
78 Patuakhali 1000
1.8%
79 Pirojpur 800
1.5%
81 Rajshahi 800
1.5%
82 Rajbari 800
1.5%
84 Rangamati 980
1.8%
85 Rangpur 1000
1.8%
86 Shariatpur 800
1.5%
87 Satkhira 1000
1.8%
88 Sirajganj 980
1.8%
89 Sherpur 800
1.5%
90 Sunamganj 1000
1.8%
91 Sylhet 1000
1.8%
93 Tangail 800
1.5%
94 Thakurgaon 800
1.5%
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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