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
Name of Industry & code (q3_2)
Data file: hh_sec5b
Overview
Valid:
10096
Invalid:
17
Type:
Discrete
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
1 - 25
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Food Processing | 23 |
0.2%
|
| 2 | Manufacturing of Textile Products | 72 |
0.7%
|
| 3 | Manufacturing of Wooden products,furniture | 50 |
0.5%
|
| 4 | Manufacturing of Paper Products, Printing, Publishing | 2 |
0%
|
| 5 | Other Manufacturing of Industry | 15 |
0.1%
|
| 6 | Agriculture | 3402 |
33.7%
|
| 7 | Livestock | 4132 |
40.9%
|
| 8 | Fisheries | 281 |
2.8%
|
| 9 | Forestry | 47 |
0.5%
|
| 10 | Wholesale Trade | 42 |
0.4%
|
| 11 | Retail Trade | 374 |
3.7%
|
| 12 | Other Business | 120 |
1.2%
|
| 13 | Hotel/ Restaurants | 15 |
0.1%
|
| 14 | Electricity/gas/water | 7 |
0.1%
|
| 15 | Transportation | 386 |
3.8%
|
| 16 | Communication | 8 |
0.1%
|
| 17 | Army/Police/BDR | 5 |
0%
|
| 18 | Science/ Education | 79 |
0.8%
|
| 19 | Arts and Culture | 22 |
0.2%
|
| 20 | Health care | 25 |
0.2%
|
| 21 | Sport/ tourism/ retirement | 0 |
0%
|
| 22 | Finance and credit | 13 |
0.1%
|
| 23 | Management and administration | 23 |
0.2%
|
| 24 | Non agriculture day labor | 762 |
7.5%
|
| 25 | Others | 191 |
1.9%
|
| Sysmiss | 17 |
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.