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
Code of Industry (q2)
Data file: hh_sec7_001
Overview
Valid:
1075
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
9
End:
10
Width:
2
Range:
1 - 25
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Food Processing | 6 |
0.6%
|
| 2 | Manufacturing of Textile Products | 44 |
4.1%
|
| 3 | Manufacturing of Wooden products,furniture | 15 |
1.4%
|
| 4 | Manufacturing of Paper Products, Printing, Publishing | 1 |
0.1%
|
| 5 | Other Manufacturing of Industry | 3 |
0.3%
|
| 6 | Agriculture | 8 |
0.7%
|
| 7 | Livestock | 0 |
0%
|
| 8 | Fisheries | 10 |
0.9%
|
| 9 | Forestry | 3 |
0.3%
|
| 10 | Wholesale Trade | 38 |
3.5%
|
| 11 | Retail Trade | 312 |
29%
|
| 12 | Other Business | 149 |
13.9%
|
| 13 | Hotel/ Restaurants | 5 |
0.5%
|
| 14 | Electricity/gas/water | 1 |
0.1%
|
| 15 | Transportation | 365 |
34%
|
| 16 | Communication | 1 |
0.1%
|
| 17 | Army/Police/BDR | 0 |
0%
|
| 18 | Science/ Education | 9 |
0.8%
|
| 19 | Arts and Culture | 13 |
1.2%
|
| 20 | Health care | 14 |
1.3%
|
| 21 | Sport/ tourism/ retirement | 0 |
0%
|
| 22 | Finance and credit | 0 |
0%
|
| 23 | Management and administration | 5 |
0.5%
|
| 24 | Non agriculture day labor | 11 |
1%
|
| 25 | Others | 62 |
5.8%
|
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.