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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F3]
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Poverty and Living Conditions Survey 2014-2015

Myanmar, 2015
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Reference ID
MMR_2015_MPLCS_v01_M
DOI
https://doi.org/10.48529/tyd0-f528
Producer(s)
World Bank
Collection(s)
Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 16, 2021
Last modified
Jul 16, 2021
Page views
84975
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  • Study Description
  • Data Description
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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

Q3b.12.Type of medical establishment [Name] ever visited (last 12m) (q3b_12)

Data file: 03_world_bank_mplcs-hh_3b_health_care.dta

Overview

Valid: 6874
Invalid: -
Minimum: 1
Maximum: 21
Type: Discrete
Decimal: 0
Start: 76
End: 77
Width: 2
Range: 1 - 21
Format: Numeric

Questions and instructions

Literal question
Who in the household has used medical services over the last 12 months, and which medical establishments has [NAME] visited or had home visits from ?[ESTABLISHMENT CODE]
Categories
Value Category Cases
1 Sub-Center (Urban Or Rural) 728
10.6%
2 Health Center (Urban Or Rual) 335
4.9%
3 Station Hospital 204
3%
4 Township Hospital 450
6.5%
5 District Hospital 145
2.1%
6 State/Region Hospital 93
1.4%
7 General/Specialist Hospital 197
2.9%
8 Maternal/Child Health Centers 34
0.5%
9 Public Polyclinic 43
0.6%
10 Traditional Medicine Hospital (Government 26
0.4%
11 Traditional Medicine Clinic (Government 24
0.3%
12 Gen'l Practitioner(Private) 1990
28.9%
13 Private Polyclinic 790
11.5%
14 Private Hospital 272
4%
15 Privtae Traditional Medicine Clinic 223
3.2%
16 Ngo Clinic 50
0.7%
17 Charity Clinic 78
1.1%
18 Charity Hospital 6
0.1%
19 Assistant Midwife 466
6.8%
20 Traditonal Healer/Local Midwife 453
6.6%
21 Other (Specify 267
3.9%
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.
Question post text
ASK ABOUT EACH MEMBER, AND WRITE NAMES AND ROSTER ID CODE AND ESTABLISHMENT FOR ALL MEDICAL SERVICE USERS IN THE LAST 12 MONTHS. WRITE IN A MEMBER'S NAME AS MANY TIMES AS MEDICAL ESTABLISHMENTS HE/SHE HAS VISITED.
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