Addressing Extreme Poverty in Bangladesh – The Case of Monga 2008 - 2009, Round 2
Bangladesh, 2009
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
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- Data files
- identity
- price_grocery
- respondent_info
- sec_1_a
- sec_1_b
- sec_2
- sec_3
- sec_4
- sec_5_1_4
- sec_5_5
- sec_6_1
- sec_6_2
- sec_6_3
- sec_6_4_5
- sec_6_6
- sec_7
- sec_8_1
- sec_8_2
- wages_october(kartik)
- hh_id_002
- hh_sec1a_002
- hh_sec2
- hh_sec3
- hh_sec5a
- hh_sec5b
- hh_sec5c
- hh_sec5d
- hh_sec6a
- hh_sec6b
- hh_sec6c
- hh_sec6d
- hh_sec6e
- hh_sec6f1
- hh_sec6f2
- hh_sec6f3
- hh_sec6f4
- hh_sec6f5
- hh_sec7
- hh_sec8a1_001
- hh_sec8a3_001
- hh_sec8a4
- hh_sec8a5
- hh_sec8a23
- hh_sec8b
- hh_sec9a
- hh_sec9b1
- hh_sec9b1_1
- hh_sec9b2
- hh_sec9b2_1
- hh_sec9d1
- hh_sec9d2
- hh_sec10a
- hh_sec10b
- hh_sec10c
- hh_sec10d
- hh_sec11a
- hh_sec11b
- hh_sec11c
- hh_sec11d
- hh_sec11e
- hh_sec12ab
- hh_sec13
Where did you move to when left this household this first time? (If within count (q4_2)
Data file: hh_sec9b1
Overview
Valid:
0
Invalid:
6111
Type:
Discrete
Decimal:
0
Start:
18
End:
19
Width:
2
Range:
1 - 64
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 | Joypurhat |
| 22 | Jamalpur |
| 23 | Jessore |
| 24 | Jhalokati |
| 25 | Jhenaidah |
| 26 | Khagrachhari |
| 27 | Khulna |
| 28 | Kishoreganj |
| 29 | Kurigram |
| 30 | Kushtia |
| 31 | Lakshmipur |
| 32 | Lalmonirhat |
| 33 | Madaripur |
| 34 | Magura |
| 35 | Manikganj |
| 36 | Meherpur |
| 37 | Maulvibazar |
| 38 | Munshiganj |
| 39 | Mymensingh |
| 40 | Naogaon |
| 41 | Narail |
| 42 | Narayanganj |
| 43 | Narsingdi |
| 44 | Natore |
| 45 | Nawabganj |
| 46 | Netrakona |
| 47 | Nilphamari |
| 48 | Noakhali |
| 49 | Pabna |
| 50 | Panchagarh |
| 51 | Patuakhali |
| 52 | Pirojpur |
| 53 | Rajshahi |
| 54 | Rajbari |
| 55 | Rangamati |
| 56 | Rangpur |
| 57 | Shariatpur |
| 58 | Satkhira |
| 59 | Sirajganj |
| 60 | Sherpur |
| 61 | Sunamganj |
| 62 | Sylhet |
| 63 | Tangail |
| 64 | Thakurgaon |
| Sysmiss |
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.