Addressing Extreme Poverty in Bangladesh – The Case of Monga 2008 - 2009, Round 2
Bangladesh, 2009
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
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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
What did you suffer from? (q6_3)
Data file: hh_sec3
Overview
Valid:
84
Invalid:
9274
Type:
Discrete
Decimal:
0
Start:
26
End:
27
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Mental disability | 12 |
14.3%
|
| 2 | Permanent Injury / disability | 8 |
9.5%
|
| 3 | Paralysis | 0 |
0%
|
| 4 | Heart Disease | 1 |
1.2%
|
| 5 | Chronic Dysentery | 0 |
0%
|
| 6 | Chronic Dysentery | 3 |
3.6%
|
| 7 | Gastric/ Ulcer | 2 |
2.4%
|
| 8 | Chronic Blood pressure | 1 |
1.2%
|
| 9 | Arthritis / Rheumatism | 3 |
3.6%
|
| 10 | Diabetics | 1 |
1.2%
|
| 11 | Cancer | 0 |
0%
|
| 12 | Leprosy | 0 |
0%
|
| 13 | Epilepsy | 1 |
1.2%
|
| 14 | Diarrhea | 3 |
3.6%
|
| 15 | Fever | 5 |
6%
|
| 16 | Pain | 18 |
21.4%
|
| 17 | Injury | 0 |
0%
|
| 18 | Breathing problem | 3 |
3.6%
|
| 19 | Weakness | 8 |
9.5%
|
| 20 | Typhoid | 0 |
0%
|
| 21 | Jaundice / hepatitis | 0 |
0%
|
| 22 | Tuberculosis | 0 |
0%
|
| 23 | Malaria | 0 |
0%
|
| 24 | Reproductive health problems | 1 |
1.2%
|
| 25 | Measles | 0 |
0%
|
| 26 | Eye problems | 0 |
0%
|
| 27 | ENT problem | 2 |
2.4%
|
| 28 | Skin disease | 3 |
3.6%
|
| 99 | Others | 9 |
10.7%
|
| Sysmiss | 9274 |
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.