Addressing Extreme Poverty in Bangladesh - The Case of Monga 2008-2009, Round 1
Bangladesh, 2008
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
198799
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- Data files
- monga_wb_cen_id_001
- monga_wb_cen_roster_001
- identity
- 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_identity_001
- sec_1a_001
- sec_2_001
- sec_3_001
- sec_4_001
- sec_5a_001
- sec_5b_001
- sec_5c_001
- sec_6a_001
- sec_6b_001
- sec_6c_001
- sec_6d_001
- sec_6e_001
- sec_6f1_001
- sec_6f2_001
- sec_6f3_001
- sec_6f4_001
- sec_6f5_001
- sec_7_001
- sec_8a1
- sec_8a3_001
- sec_8a4
- sec_8a23
- sec_8b
- sec_9a_001
- sec_9b1_001
- sec_9b2_001
- sec_9c_001
- sec_9d1_001
- sec_9d2_001
- sec_10a_001
- sec_10b_001
- sec_10c_001
- sec_10d_001
- sec_11a_001
- sec_11b_001
- sec_11c_001
- sec_11d_001
- sec_11e_001
- sec_12ab_001
- sec_13_001
Name of Industry & code (q3_2)
Data file: sec_5b_001
Overview
Valid:
7606
Invalid:
26
Type:
Discrete
Decimal:
0
Start:
10
End:
11
Width:
2
Range:
1 - 25
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Food Processing | 32 |
0.4%
|
| 2 | Manufacturing of Textile Products | 52 |
0.7%
|
| 3 | Manufacturing of Wooden products,furniture | 72 |
0.9%
|
| 4 | Manufacturing of Paper Products, Printing, Publishing | 3 |
0%
|
| 5 | Other Manufacturing of Industry | 23 |
0.3%
|
| 6 | Agriculture | 1909 |
25.1%
|
| 7 | Livestock | 3085 |
40.6%
|
| 8 | Fisheries | 361 |
4.7%
|
| 9 | Forestry | 115 |
1.5%
|
| 10 | Wholesale Trade | 41 |
0.5%
|
| 11 | Retail Trade | 302 |
4%
|
| 12 | Other Business | 82 |
1.1%
|
| 13 | Hotel/ Restaurants | 15 |
0.2%
|
| 14 | Electricity/gas/water | 5 |
0.1%
|
| 15 | Transportation | 309 |
4.1%
|
| 16 | Communication | 19 |
0.2%
|
| 17 | Army/Police/BDR | 4 |
0.1%
|
| 18 | Science/ Education. | 56 |
0.7%
|
| 19 | Arts and Culture | 28 |
0.4%
|
| 20 | Health care | 25 |
0.3%
|
| 21 | Sport/ tourism/ retirement | 3 |
0%
|
| 22 | Finance and credit | 9 |
0.1%
|
| 23 | Management and administration | 8 |
0.1%
|
| 24 | Non agriculture day labor | 656 |
8.6%
|
| 25 | Others | 392 |
5.2%
|
| Sysmiss | 26 |
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.