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    Home / Central Data Catalog / MICS / BGD_2019_MICS_V01_M / variable [F3]
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
101685
  • 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: fs.sav

Overview

Valid: 40617
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 639
1.6%
3 Bandarban 526
1.3%
4 Barguna 629
1.5%
6 Barishal 653
1.6%
9 Bhola 648
1.6%
10 Bogura 577
1.4%
12 Brahmanbaria 652
1.6%
13 Chandpur 584
1.4%
15 Chattogram 1285
3.2%
18 Chuadanga 633
1.6%
19 Cumilla 841
2.1%
22 Cox's Bazar 626
1.5%
26 Dhaka 1422
3.5%
27 Dinajpur 608
1.5%
29 Faridpur 566
1.4%
30 Feni 598
1.5%
32 Gaibandha 615
1.5%
33 Gazipur 428
1.1%
35 Gopalganj 558
1.4%
36 Habiganj 702
1.7%
38 Joypurhat 540
1.3%
39 Jamalpur 510
1.3%
41 Jashore 640
1.6%
42 Jhalokati 617
1.5%
44 Jhenaidah 622
1.5%
46 Khagrachhari 549
1.4%
47 Khulna 557
1.4%
48 Kishoregonj 585
1.4%
49 Kurigram 641
1.6%
50 Kushtia 640
1.6%
51 Lakshmipur 610
1.5%
52 Lalmonirhat 657
1.6%
54 Madaripur 566
1.4%
55 Magura 625
1.5%
56 Manikganj 528
1.3%
57 Meherpur 578
1.4%
58 Maulvibazar 700
1.7%
59 Munshiganj 599
1.5%
61 Mymensingh 754
1.9%
64 Naogaon 551
1.4%
65 Narail 645
1.6%
67 Narayangonj 577
1.4%
68 Narsingdi 625
1.5%
69 Natore 557
1.4%
70 Chapai Nawabganj 662
1.6%
72 Netrokona 560
1.4%
73 Nilphamari 645
1.6%
75 Noakhali 659
1.6%
76 Pabna 627
1.5%
77 Panchagarh 622
1.5%
78 Patuakhali 658
1.6%
79 Pirojpur 624
1.5%
81 Rajshahi 563
1.4%
82 Rajbari 583
1.4%
84 Rangamati 559
1.4%
85 Rangpur 615
1.5%
86 Shariatpur 586
1.4%
87 Satkhira 619
1.5%
88 Sirajganj 650
1.6%
89 Sherpur 511
1.3%
90 Sunamganj 735
1.8%
91 Sylhet 705
1.7%
93 Tangail 515
1.3%
94 Thakurgaon 656
1.6%
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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