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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F2]
central

Poverty and Living Conditions Survey 2014-2015

Myanmar, 2015
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Reference ID
MMR_2015_MPLCS_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
22974
Downloads
271
  • Study Description
  • Data Dictionary
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  • Data files
  • 01_world_bank_mplcs-hh_all_data_set.dta
  • 02_world_bank_mplcs-hh_member.dta
  • 03_world_bank_mplcs-hh_3b_health_care.dta
  • 04_world_bank_mplcs-hh_q5b_remittance.dta
  • 05_world_bank_mplcs-hh_sec-7_hh_assets.dta
  • 07_world_bank_mplcs-hh_sec-8b_non_food_consumption_last_30_days.dta
  • 08_world_bank_mplcs-hh_sec-8c_non_food_expenditure_in_6_months.dta
  • 09_world_bank_mplcs-hh_sec-8c_non_food_expenditure_in_12_months.dta
  • 10_world_bank_mplcs-hh_sec-9b_non_farm_enterprise.dta
  • 11_world_bank_mplcs-hh_sec-10a_parcel.dta
  • 12_world_bank_mplcs-hh_sec-10b_inputs.dta
  • 13_world_bank_mplcs-hh_sec-10c_labour.dta
  • 14_world_bank_mplcs-hh_sec-10d_harvest_&_crop_disposition.dta
  • 15_world_bank_mplcs-hh_sec-10e_livestock.dta
  • 16_world_bank_mplcs-hh_sec-10f_machinery_&_equip.dta
  • 17_world_bank_mplcs-hh_sec-10g_boat.dta
  • 18_world_bank_mplcs-hh_sec-10g_assets.dta
  • 19_world_bank_mplcs-hh_sec-11a_loans.dta
  • MPLCS_povdata.dta
  • 06_world_bank_mplcs-hh_sec-8a_food_consumption.dta

Q3a.4.1.Name of illness or injury [Most serious] (q3a_4_1)

Data file: 02_world_bank_mplcs-hh_member.dta

Overview

Valid: 5041
Invalid: 11610
Minimum: 1
Maximum: 15
Type: Discrete
Decimal: 0
Start: 235
End: 236
Width: 2
Range: 1 - 15
Format: Numeric

Questions and instructions

Literal question
What was the illness or injury? [MOST SERIOUS]
Categories
Value Category Cases
1 Back pain 406
8.1%
2 Diarrhea 140
2.8%
3 Stomachache 367
7.3%
4 Headache 502
10%
5 Cough/chest problem 695
13.8%
6 Flu 56
1.1%
7 Injury 142
2.8%
8 Diabetes 80
1.6%
9 Heart problem 208
4.1%
10 Joint problem 322
6.4%
11 Fever 1024
20.3%
12 Malaria 56
1.1%
13 Dengue fever 8
0.2%
14 Toothache 48
1%
15 Other (specify) 987
19.6%
Sysmiss 11610
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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