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Emergencies-Monitoring-Surveys

Data in Emergencies Monitoring Household Survey (DIEM) – Round 5, Bangladesh, 2022

Bangladesh, 2022
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Reference ID
BGD_2022_DEMHS-R5_v01_EN_M_A_OCS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, World Food Programme
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Data in Emergencies Monitoring Surveys
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Created on
Oct 31, 2022
Last modified
Nov 16, 2022
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9178

Administrative level 2 - Name (adm2_name)

Data file: data_anon

Overview

Valid: 1997
Invalid: 82
Type: Discrete
Decimal: 0
Width: 8
Range: 1 - 63
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bagerhat 7
0.4%
2 Bandarban 22
1.1%
3 Barguna 71
3.6%
4 Barisal 46
2.3%
5 Bhola 47
2.4%
6 Bogra 40
2%
7 Brahamanbaria 17
0.9%
8 Chandpur 4
0.2%
9 Chittagong 23
1.2%
10 Chuadanga 45
2.3%
11 Comilla 43
2.2%
12 Cox's Bazar 116
5.8%
13 Dhaka 63
3.2%
14 Dinajpur 6
0.3%
15 Faridpur 91
4.6%
16 Feni 2
0.1%
17 Gaibandha 78
3.9%
18 Gazipur 31
1.6%
19 Gopalganj 5
0.3%
20 Habiganj 54
2.7%
21 Jamalpur 69
3.5%
22 Jessore 11
0.6%
23 Jhalokati 6
0.3%
24 Jhenaidah 30
1.5%
25 Joypurhat 41
2.1%
26 Khagrachhari 18
0.9%
27 Khulna 27
1.4%
28 Kishoreganj 34
1.7%
29 Kurigram 77
3.9%
30 Kushtia 46
2.3%
31 Lalmonirhat 10
0.5%
32 Madaripur 39
2%
33 Magura 24
1.2%
34 Manikganj 4
0.2%
35 Maulvibazar 69
3.5%
36 Meherpur 5
0.3%
37 Munshiganj 0
0%
38 Mymensingh 42
2.1%
39 Naogaon 3
0.2%
40 Narail 2
0.1%
41 Narayanganj 21
1.1%
42 Narsingdi 11
0.6%
43 Natore 10
0.5%
44 Nawabganj 67
3.4%
45 Netrakona 90
4.5%
46 Nilphamari 0
0%
47 Noakhali 5
0.3%
48 Pabna 10
0.5%
49 Panchagarh 2
0.1%
50 Patuakhali 66
3.3%
51 Pirojpur 10
0.5%
52 Rajbari 8
0.4%
53 Rajshahi 56
2.8%
54 Rangamati 7
0.4%
55 Rangpur 52
2.6%
56 Satkhira 40
2%
57 Shariatpur 2
0.1%
58 Sherpur 38
1.9%
59 Sirajganj 13
0.7%
60 Sunamganj 54
2.7%
61 Sylhet 57
2.9%
62 Tangail 7
0.4%
63 Thakurgaon 3
0.2%
Sysmiss 82
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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