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    Home / Central Data Catalog / BGD_2008_MONGA-R1_V01_M / variable [F50]
central

Addressing Extreme Poverty in Bangladesh - The Case of Monga 2008-2009, Round 1

Bangladesh, 2008
Reference ID
BGD_2008_MONGA-R1_v01_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
228280
Downloads
6374
  • Study Description
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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

Shock Code (shock)

Data file: sec_10a_001

Overview

Valid: 1859
Invalid: 0
Type: Discrete
Decimal: 0
Start: 6
End: 7
Width: 2
Range: 1 - 18
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Floods 373
20.1%
2 Droughts 18
1%
3 River erosion 93
5%
4 Pest infestation, crop and livestock diseases 64
3.4%
5 Unexpected increase in prices of food / other essential comm 697
37.5%
6 Unexpected loss of job 8
0.4%
7 Involuntary reduction in employment / the number of hours w 21
1.1%
8 Non-payment or delay in payment of income 9
0.5%
9 Unexpected decline in prices or demand for commodities that 5
0.3%
10 Unexpected increase in prices / shortages of inputs / servic 8
0.4%
11 Loss of asset / livestock due to theft / death / accident 89
4.8%
12 Cut-off or decrease in remittances to household 2
0.1%
13 Death of main earner 36
1.9%
14 Death of other member of the family 37
2%
15 Serious injury or illness that kept household member from do 192
10.3%
16 Divorce or Abandonment by husband 13
0.7%
17 Big amount of dowery for daughter’s marriage 98
5.3%
18 Other 96
5.2%
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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