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    Home / Central Data Catalog / MICS / BGD_2019_MICS_V01_M / variable [F10]
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
117951
  • 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: wm.sav

Overview

Valid: 68709
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 1081
1.6%
3 Bandarban 894
1.3%
4 Barguna 961
1.4%
6 Barishal 1034
1.5%
9 Bhola 959
1.4%
10 Bogura 998
1.5%
12 Brahmanbaria 1113
1.6%
13 Chandpur 970
1.4%
15 Chattogram 2407
3.5%
18 Chuadanga 1099
1.6%
19 Cumilla 1471
2.1%
22 Cox's Bazar 1082
1.6%
26 Dhaka 2756
4%
27 Dinajpur 1045
1.5%
29 Faridpur 1008
1.5%
30 Feni 1105
1.6%
32 Gaibandha 912
1.3%
33 Gazipur 867
1.3%
35 Gopalganj 873
1.3%
36 Habiganj 1257
1.8%
38 Joypurhat 925
1.3%
39 Jamalpur 774
1.1%
41 Jashore 1091
1.6%
42 Jhalokati 971
1.4%
44 Jhenaidah 1058
1.5%
46 Khagrachhari 948
1.4%
47 Khulna 1037
1.5%
48 Kishoregonj 915
1.3%
49 Kurigram 998
1.5%
50 Kushtia 1116
1.6%
51 Lakshmipur 955
1.4%
52 Lalmonirhat 1049
1.5%
54 Madaripur 851
1.2%
55 Magura 1073
1.6%
56 Manikganj 935
1.4%
57 Meherpur 1116
1.6%
58 Maulvibazar 1246
1.8%
59 Munshiganj 974
1.4%
61 Mymensingh 1147
1.7%
64 Naogaon 953
1.4%
65 Narail 1041
1.5%
67 Narayangonj 1062
1.5%
68 Narsingdi 1009
1.5%
69 Natore 924
1.3%
70 Chapai Nawabganj 1119
1.6%
72 Netrokona 881
1.3%
73 Nilphamari 1062
1.5%
75 Noakhali 1108
1.6%
76 Pabna 1047
1.5%
77 Panchagarh 1009
1.5%
78 Patuakhali 1059
1.5%
79 Pirojpur 975
1.4%
81 Rajshahi 1022
1.5%
82 Rajbari 944
1.4%
84 Rangamati 941
1.4%
85 Rangpur 926
1.3%
86 Shariatpur 947
1.4%
87 Satkhira 1079
1.6%
88 Sirajganj 1048
1.5%
89 Sherpur 729
1.1%
90 Sunamganj 1301
1.9%
91 Sylhet 1411
2.1%
93 Tangail 891
1.3%
94 Thakurgaon 1150
1.7%
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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