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    Home / Central Data Catalog / BGD_2008_MONGA-R2_V01_M / variable [F23]
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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
178865
Downloads
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  • 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

What did you suffer from? (q6_2)

Data file: hh_sec3

Overview

Valid: 836
Invalid: 8522
Type: Discrete
Decimal: 0
Start: 24
End: 25
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Mental disability 2
0.2%
2 Permanent Injury / disability 2
0.2%
3 Paralysis 1
0.1%
4 Heart Disease 1
0.1%
5 Chronic Dysentery 5
0.6%
6 Chronic Dysentery 17
2%
7 Gastric/ Ulcer 27
3.2%
8 Chronic Blood pressure 5
0.6%
9 Arthritis / Rheumatism 19
2.3%
10 Diabetics 3
0.4%
11 Cancer 1
0.1%
12 Leprosy 0
0%
13 Epilepsy 0
0%
14 Diarrhea 56
6.7%
15 Fever 173
20.7%
16 Pain 264
31.6%
17 Injury 11
1.3%
18 Breathing problem 48
5.7%
19 Weakness 59
7.1%
20 Typhoid 1
0.1%
21 Jaundice / hepatitis 2
0.2%
22 Tuberculosis 0
0%
23 Malaria 1
0.1%
24 Reproductive health problems 0
0%
25 Measles 1
0.1%
26 Eye problems 11
1.3%
27 ENT problem 19
2.3%
28 Skin disease 15
1.8%
99 Others 92
11%
Sysmiss 8522
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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