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    Home / Central Data Catalog / MICS / BGD_2019_MICS_V01_M / variable [F2]
MICS

Multiple Indicator Cluster Survey 2019, Round 6

Bangladesh, 2019
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Reference ID
BGD_2019_MICS_v01_M
Producer(s)
Bureau of Statistics
Collection(s)
UNICEF Multiple Indicator Cluster Surveys (MICS)
Metadata
DDI/XML JSON
Created on
Feb 02, 2022
Last modified
Feb 03, 2022
Page views
101111
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • bh.sav
  • ch.sav
  • fs.sav
  • hh.sav
  • hl.sav
  • weightsCH.sav
  • weightsFS.sav
  • weightsHH.sav
  • weightsWM.sav
  • wm.sav

District (HH7A)

Data file: ch.sav

Overview

Valid: 24686
Invalid: 0
Minimum: 1
Maximum: 94
Type: Continuous
Decimal: 0
Width: 6
Range: 1 - 94
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bagerhat 367
1.5%
3 Bandarban 357
1.4%
4 Barguna 337
1.4%
6 Barishal 336
1.4%
9 Bhola 469
1.9%
10 Bogura 323
1.3%
12 Brahmanbaria 503
2%
13 Chandpur 365
1.5%
15 Chattogram 880
3.6%
18 Chuadanga 376
1.5%
19 Cumilla 588
2.4%
22 Cox's Bazar 490
2%
26 Dhaka 804
3.3%
27 Dinajpur 300
1.2%
29 Faridpur 361
1.5%
30 Feni 440
1.8%
32 Gaibandha 362
1.5%
33 Gazipur 263
1.1%
35 Gopalganj 349
1.4%
36 Habiganj 500
2%
38 Joypurhat 247
1%
39 Jamalpur 276
1.1%
41 Jashore 334
1.4%
42 Jhalokati 381
1.5%
44 Jhenaidah 353
1.4%
46 Khagrachhari 360
1.5%
47 Khulna 291
1.2%
48 Kishoregonj 402
1.6%
49 Kurigram 350
1.4%
50 Kushtia 341
1.4%
51 Lakshmipur 396
1.6%
52 Lalmonirhat 382
1.5%
54 Madaripur 335
1.4%
55 Magura 360
1.5%
56 Manikganj 277
1.1%
57 Meherpur 312
1.3%
58 Maulvibazar 455
1.8%
59 Munshiganj 344
1.4%
61 Mymensingh 503
2%
64 Naogaon 245
1%
65 Narail 384
1.6%
67 Narayangonj 350
1.4%
68 Narsingdi 365
1.5%
69 Natore 301
1.2%
70 Chapai Nawabganj 422
1.7%
72 Netrokona 384
1.6%
73 Nilphamari 385
1.6%
75 Noakhali 460
1.9%
76 Pabna 368
1.5%
77 Panchagarh 371
1.5%
78 Patuakhali 380
1.5%
79 Pirojpur 357
1.4%
81 Rajshahi 306
1.2%
82 Rajbari 357
1.4%
84 Rangamati 290
1.2%
85 Rangpur 352
1.4%
86 Shariatpur 383
1.6%
87 Satkhira 323
1.3%
88 Sirajganj 356
1.4%
89 Sherpur 285
1.2%
90 Sunamganj 600
2.4%
91 Sylhet 521
2.1%
93 Tangail 298
1.2%
94 Thakurgaon 374
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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