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    Home / Central Data Catalog / FAO / BGD_2023_DIEM-HS-R8_V01_M_V01_A_ESS / variable [F1]
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Data in Emergencies Monitoring System - Household Survey 2023
Round 8

Bangladesh, 2023
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Reference ID
BGD_2023_DIEM-HS-R8_v01_M_v01_A_ESS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience
Collection(s)
FAO - Food and Agriculture Microdata Catalog
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jun 12, 2026
Last modified
Jun 12, 2026
Page views
4834
  • Study Description
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  • anon_dfBGD_R8

Administrative level 2 - Name (adm2_name)

Data file: anon_dfBGD_R8

Overview

Valid: 3129
Invalid: 0
Type: Discrete
Decimal: 0
Width: 8
Format: Numeric
Weighted variable: 0

Questions and instructions

Categories
Value Category Cases
1 Bagerhat 24
0.8%
2 Bandarban 27
0.9%
3 Barguna 78
2.5%
4 Barisal 62
2%
5 Bhola 56
1.8%
6 Bogra 81
2.6%
7 Brahamanbaria 31
1%
8 Chandpur 47
1.5%
9 Chittagong 66
2.1%
10 Chuadanga 19
0.6%
11 Comilla 69
2.2%
12 Cox's Bazar 96
3.1%
13 Dhaka 152
4.9%
14 Dinajpur 37
1.2%
15 Faridpur 43
1.4%
16 Feni 10
0.3%
17 Gaibandha 91
2.9%
18 Gazipur 59
1.9%
19 Gopalganj 12
0.4%
20 Habiganj 47
1.5%
21 Jamalpur 156
5%
22 Jessore 38
1.2%
23 Jhalokati 16
0.5%
24 Jhenaidah 35
1.1%
25 Joypurhat 15
0.5%
26 Khagrachhari 24
0.8%
27 Khulna 95
3%
28 Kishoreganj 40
1.3%
29 Kurigram 108
3.5%
30 Kushtia 29
0.9%
31 Lakshmipur 16
0.5%
32 Lalmonirhat 18
0.6%
33 Madaripur 29
0.9%
34 Magura 20
0.6%
35 Manikganj 10
0.3%
36 Maulvibazar 44
1.4%
37 Meherpur 9
0.3%
38 Munshiganj 12
0.4%
39 Mymensingh 120
3.8%
40 Naogaon 53
1.7%
41 Narail 13
0.4%
42 Narayanganj 28
0.9%
43 Narsingdi 18
0.6%
44 Natore 54
1.7%
45 Nawabganj 19
0.6%
46 Netrakona 109
3.5%
47 Nilphamari 23
0.7%
48 Noakhali 33
1.1%
49 Pabna 52
1.7%
50 Panchagarh 16
0.5%
51 Patuakhali 82
2.6%
52 Pirojpur 18
0.6%
53 Rajbari 21
0.7%
54 Rajshahi 59
1.9%
55 Rangamati 16
0.5%
56 Rangpur 68
2.2%
57 Satkhira 74
2.4%
58 Shariatpur 14
0.4%
59 Sherpur 40
1.3%
60 Sirajganj 50
1.6%
61 Sunamganj 133
4.3%
62 Sylhet 144
4.6%
63 Tangail 37
1.2%
64 Thakurgaon 14
0.4%
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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