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    Home / Central Data Catalog / MICS / BGD_2019_MICS_V01_M / variable [F5]
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
101793
  • 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: hl.sav

Overview

Valid: 262159
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 4087
1.6%
3 Bandarban 3534
1.3%
4 Barguna 3863
1.5%
6 Barishal 4015
1.5%
9 Bhola 4047
1.5%
10 Bogura 3655
1.4%
12 Brahmanbaria 4276
1.6%
13 Chandpur 3715
1.4%
15 Chattogram 8663
3.3%
18 Chuadanga 3910
1.5%
19 Cumilla 5449
2.1%
22 Cox's Bazar 4355
1.7%
26 Dhaka 9223
3.5%
27 Dinajpur 3826
1.5%
29 Faridpur 3755
1.4%
30 Feni 3964
1.5%
32 Gaibandha 3724
1.4%
33 Gazipur 2843
1.1%
35 Gopalganj 3742
1.4%
36 Habiganj 4960
1.9%
38 Joypurhat 3419
1.3%
39 Jamalpur 3302
1.3%
41 Jashore 4014
1.5%
42 Jhalokati 3911
1.5%
44 Jhenaidah 3915
1.5%
46 Khagrachhari 3714
1.4%
47 Khulna 3752
1.4%
48 Kishoregonj 3785
1.4%
49 Kurigram 3874
1.5%
50 Kushtia 4025
1.5%
51 Lakshmipur 3829
1.5%
52 Lalmonirhat 4071
1.6%
54 Madaripur 3631
1.4%
55 Magura 4021
1.5%
56 Manikganj 3427
1.3%
57 Meherpur 3770
1.4%
58 Maulvibazar 4686
1.8%
59 Munshiganj 3622
1.4%
61 Mymensingh 4811
1.8%
64 Naogaon 3522
1.3%
65 Narail 4135
1.6%
67 Narayangonj 3633
1.4%
68 Narsingdi 3786
1.4%
69 Natore 3533
1.3%
70 Chapai Nawabganj 4237
1.6%
72 Netrokona 3758
1.4%
73 Nilphamari 4146
1.6%
75 Noakhali 4318
1.6%
76 Pabna 3894
1.5%
77 Panchagarh 3860
1.5%
78 Patuakhali 4264
1.6%
79 Pirojpur 3941
1.5%
81 Rajshahi 3651
1.4%
82 Rajbari 3767
1.4%
84 Rangamati 3621
1.4%
85 Rangpur 3656
1.4%
86 Shariatpur 3903
1.5%
87 Satkhira 3980
1.5%
88 Sirajganj 3996
1.5%
89 Sherpur 3195
1.2%
90 Sunamganj 5390
2.1%
91 Sylhet 5193
2%
93 Tangail 3390
1.3%
94 Thakurgaon 4205
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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