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    Home / Central Data Catalog / BGD_2008_MONGA-R2_V01_M / variable [F25]
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Addressing Extreme Poverty in Bangladesh – The Case of Monga 2008 - 2009, Round 2

Bangladesh, 2009
Reference ID
BGD_2008_MONGA-R2_v01_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
175393
Downloads
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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.
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