Addressing Extreme Poverty in Bangladesh – The Case of Monga 2008 - 2009, Round 3
Bangladesh, 2009
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
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- Data files
- access
- 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
- hh_id_001
- hh_sec1a_001
- hh_sec2_001
- hh_sec3_001
- hh_sec5a_001
- hh_sec5b_001
- hh_sec5c_001
- hh_sec6a_001
- hh_sec6b_001
- hh_sec6c_001
- hh_sec6d_001
- hh_sec6e_001
- hh_sec6f1_001
- hh_sec6f2_001
- hh_sec6f3_001
- hh_sec6f4_001
- hh_sec6f5_001
- hh_sec7_001
- hh_sec8a1
- hh_sec8a3
- hh_sec8a4
- hh_sec8a5
- hh_sec8a23
- hh_sec8b
- hh_sec9a_001
- hh_sec9b1_1_001
- hh_sec9b2_1_001
- hh_sec9d1_001
- hh_sec9d2_001
- hh_sec10a_001
- hh_sec10b_001
- hh_sec10c_001
- hh_sec11a_001
- hh_sec11b_001
- hh_sec11c_001
- hh_sec11d_001
- hh_sec11e_001
- hh_sec12ab_001
Thana/Upazila Code (th_uz)
Data file: identity
Overview
Valid:
125
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
6
End:
7
Width:
2
Range:
1 - 42
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Bogra sadar | 5 |
4%
|
| 2 | Dhunat | 4 |
3.2%
|
| 3 | Gabtali | 4 |
3.2%
|
| 4 | Sariakandi | 6 |
4.8%
|
| 5 | Sherpur | 2 |
1.6%
|
| 6 | Shibganj | 5 |
4%
|
| 7 | Sonatala | 4 |
3.2%
|
| 8 | Fulchhari | 3 |
2.4%
|
| 9 | Gaibandha sadar | 4 |
3.2%
|
| 10 | Gobindaganj | 3 |
2.4%
|
| 11 | Palashbari | 3 |
2.4%
|
| 12 | Sadullapur | 2 |
1.6%
|
| 13 | Saghatta | 5 |
4%
|
| 14 | Sundarganj | 4 |
3.2%
|
| 15 | Bhurungamari | 3 |
2.4%
|
| 16 | Char Rajibpur | 2 |
1.6%
|
| 17 | Chilmari | 2 |
1.6%
|
| 18 | Phulbari | 2 |
1.6%
|
| 19 | Kurigram Sadar | 2 |
1.6%
|
| 20 | Nageswari | 4 |
3.2%
|
| 21 | Rajarhat | 2 |
1.6%
|
| 22 | Raumari | 5 |
4%
|
| 23 | Ulipur | 4 |
3.2%
|
| 24 | Aditmari | 2 |
1.6%
|
| 25 | Hatibandha | 2 |
1.6%
|
| 26 | Kaliganj | 2 |
1.6%
|
| 27 | Lalmonirhat sadar | 2 |
1.6%
|
| 28 | Patgram | 2 |
1.6%
|
| 29 | Dimla | 2 |
1.6%
|
| 30 | Domar | 2 |
1.6%
|
| 31 | Jaldhaka | 4 |
3.2%
|
| 32 | Kishoreganj | 2 |
1.6%
|
| 33 | Nilphamari sadar | 4 |
3.2%
|
| 34 | Saidpur | 1 |
0.8%
|
| 35 | Badarganj | 2 |
1.6%
|
| 36 | Gangachara | 2 |
1.6%
|
| 37 | Kaunia | 2 |
1.6%
|
| 38 | Rangpur Sadar | 4 |
3.2%
|
| 39 | Mithapukur | 4 |
3.2%
|
| 40 | Pirgachha | 3 |
2.4%
|
| 41 | Pirganj | 2 |
1.6%
|
| 42 | Taraganj | 1 |
0.8%
|
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.