Data in Emergencies Monitoring Household Survey 2022
Bangladesh, 2022
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Reference ID
BGD_2022_DEMHS-R5_v01_M_v01_A_OCS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, World Food Programme
Created on
Feb 08, 2023
Last modified
Feb 08, 2023
Page views
5470
- Data files
- data_anon
Administrative level 2 - Name (adm2_name)
Data file: data_anon
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Range:
1 - 63
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Bagerhat |
| 2 | Bandarban |
| 3 | Barguna |
| 4 | Barisal |
| 5 | Bhola |
| 6 | Bogra |
| 7 | Brahamanbaria |
| 8 | Chandpur |
| 9 | Chittagong |
| 10 | Chuadanga |
| 11 | Comilla |
| 12 | Cox's Bazar |
| 13 | Dhaka |
| 14 | Dinajpur |
| 15 | Faridpur |
| 16 | Feni |
| 17 | Gaibandha |
| 18 | Gazipur |
| 19 | Gopalganj |
| 20 | Habiganj |
| 21 | Jamalpur |
| 22 | Jessore |
| 23 | Jhalokati |
| 24 | Jhenaidah |
| 25 | Joypurhat |
| 26 | Khagrachhari |
| 27 | Khulna |
| 28 | Kishoreganj |
| 29 | Kurigram |
| 30 | Kushtia |
| 31 | Lalmonirhat |
| 32 | Madaripur |
| 33 | Magura |
| 34 | Manikganj |
| 35 | Maulvibazar |
| 36 | Meherpur |
| 37 | Munshiganj |
| 38 | Mymensingh |
| 39 | Naogaon |
| 40 | Narail |
| 41 | Narayanganj |
| 42 | Narsingdi |
| 43 | Natore |
| 44 | Nawabganj |
| 45 | Netrakona |
| 46 | Nilphamari |
| 47 | Noakhali |
| 48 | Pabna |
| 49 | Panchagarh |
| 50 | Patuakhali |
| 51 | Pirojpur |
| 52 | Rajbari |
| 53 | Rajshahi |
| 54 | Rangamati |
| 55 | Rangpur |
| 56 | Satkhira |
| 57 | Shariatpur |
| 58 | Sherpur |
| 59 | Sirajganj |
| 60 | Sunamganj |
| 61 | Sylhet |
| 62 | Tangail |
| 63 | Thakurgaon |
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.