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    Home / Central Data Catalog / MICS / BGD_2012_MICS_V01_M / variable [F18]
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
87401
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  • Study Description
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  • ch
  • hh
  • hl
  • wm

District (HH7A)

Data file: hl

Overview

Valid: 239491
Invalid: 0
Minimum: 1
Maximum: 94
Type: Discrete
Decimal: 0
Start: 59
End: 60
Width: 2
Range: 1 - 94
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bagerhat 3846
1.6%
3 Bandarban 4454
1.9%
4 Barguna 4373
1.8%
6 Barisal 3606
1.5%
9 Bhola 4732
2%
10 Bogra 3013
1.3%
12 Brahmanbaria 3848
1.6%
13 Chandpur 4014
1.7%
15 Chittagong 3614
1.5%
18 Chuadanga 3177
1.3%
19 Comilla 3821
1.6%
22 Cox's Bazar 5031
2.1%
26 Dhaka 2797
1.2%
27 Dinajpur 3256
1.4%
29 Faridpur 3501
1.5%
30 Feni 3810
1.6%
32 Gaibandha 3866
1.6%
33 Gazipur 3205
1.3%
35 Gopalganj 3770
1.6%
36 Habiganj 5296
2.2%
38 Joypurhat 2799
1.2%
39 Jamalpur 4159
1.7%
41 Jessore 3217
1.3%
42 Jhalokati 3326
1.4%
44 Jhenaidah 3265
1.4%
46 Khagrachhari 4344
1.8%
47 Khulna 3967
1.7%
48 Kishorganj 3729
1.6%
49 Kurigram 4247
1.8%
50 Kushtia 3230
1.3%
51 Lakshmipur 3779
1.6%
52 Lalmonirhat 3603
1.5%
54 Madaripur 3565
1.5%
55 Magura 3613
1.5%
56 Manikganj 2997
1.3%
57 Meherpur 3188
1.3%
58 Maulvibazar 3908
1.6%
59 Munshiganj 3283
1.4%
61 Mymensingh 3150
1.3%
64 Naogaon 2955
1.2%
65 Narail 3708
1.5%
67 Narayanganj 2885
1.2%
68 Narsingdi 3775
1.6%
69 Natore 2983
1.2%
70 Nawabganj 3603
1.5%
72 Netrakona 3890
1.6%
73 Nilphamari 4537
1.9%
75 Noakhali 4052
1.7%
76 Pabna 3274
1.4%
77 Panchagarh 3426
1.4%
78 Patuakhali 4659
1.9%
79 Pirojpur 3496
1.5%
81 Rajshahi 3004
1.3%
82 Rajbari 3435
1.4%
84 Rangamati 4214
1.8%
85 Rangpur 3788
1.6%
86 Shariatpur 4314
1.8%
87 Satkhira 4096
1.7%
88 Sirajganj 4259
1.8%
89 Sherpur 3087
1.3%
90 Sunamganj 5402
2.3%
91 Sylhet 5577
2.3%
93 Tangail 3261
1.4%
94 Thakurgaon 3412
1.4%
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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