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    Home / Central Data Catalog / MICS / BGD_2019_MICS_V01_M / variable [F4]
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
102394
  • 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: hh.sav

Overview

Valid: 64400
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 1000
1.6%
3 Bandarban 800
1.2%
4 Barguna 1000
1.6%
6 Barishal 1000
1.6%
9 Bhola 1000
1.6%
10 Bogura 1000
1.6%
12 Brahmanbaria 900
1.4%
13 Chandpur 900
1.4%
15 Chattogram 2000
3.1%
18 Chuadanga 1000
1.6%
19 Cumilla 1200
1.9%
22 Cox's Bazar 900
1.4%
26 Dhaka 2500
3.9%
27 Dinajpur 1000
1.6%
29 Faridpur 900
1.4%
30 Feni 900
1.4%
32 Gaibandha 1000
1.6%
33 Gazipur 900
1.4%
35 Gopalganj 900
1.4%
36 Habiganj 1000
1.6%
38 Joypurhat 1000
1.6%
39 Jamalpur 900
1.4%
41 Jashore 1000
1.6%
42 Jhalokati 1000
1.6%
44 Jhenaidah 1000
1.6%
46 Khagrachhari 900
1.4%
47 Khulna 1000
1.6%
48 Kishoregonj 900
1.4%
49 Kurigram 1000
1.6%
50 Kushtia 1000
1.6%
51 Lakshmipur 900
1.4%
52 Lalmonirhat 1000
1.6%
54 Madaripur 900
1.4%
55 Magura 1000
1.6%
56 Manikganj 900
1.4%
57 Meherpur 1000
1.6%
58 Maulvibazar 1000
1.6%
59 Munshiganj 900
1.4%
61 Mymensingh 1200
1.9%
64 Naogaon 1000
1.6%
65 Narail 1000
1.6%
67 Narayangonj 900
1.4%
68 Narsingdi 900
1.4%
69 Natore 1000
1.6%
70 Chapai Nawabganj 1000
1.6%
72 Netrokona 900
1.4%
73 Nilphamari 1000
1.6%
75 Noakhali 900
1.4%
76 Pabna 1000
1.6%
77 Panchagarh 1000
1.6%
78 Patuakhali 1000
1.6%
79 Pirojpur 1000
1.6%
81 Rajshahi 1000
1.6%
82 Rajbari 900
1.4%
84 Rangamati 900
1.4%
85 Rangpur 1000
1.6%
86 Shariatpur 900
1.4%
87 Satkhira 1000
1.6%
88 Sirajganj 1000
1.6%
89 Sherpur 900
1.4%
90 Sunamganj 1000
1.6%
91 Sylhet 1000
1.6%
93 Tangail 900
1.4%
94 Thakurgaon 1000
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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