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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M
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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
77528
Downloads
7516
  • Study Description
  • Data Description
  • Documentation
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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

Data file: 04_world_bank_mplcs-hh_q5b_remittance.dta

Individual level data on remittances (former household members and others).

Cases: 2930
Variables: 38

Variables

questionnaire_no
Questionnaire No
id1
ID1.State/division
id2
ID2.District
id3
ID3.Township
id4
ID4.Quarter/village tract
id5_poststrat
ID5.Urban/rural
id6_ea_code
ID6 EA CODE
id6
ID6.Ward /village
q5b_q1
Q5b.1.HH ever had a former HH member during last 10 years who currently living a
q5b_q2
Q5b.2.Anyone in the HH ever received remittances (money or in-kind) from anyone
q5b_q3
Q5b.3.Respondent ever answered Yes for at least one of Q1 and Q2
num_of_rem
Q5b Number of REMITTANCES (FORMER HH MEMBERS & OTHERS)
q5b_id1
Q5b.ID1
q5b_5
Q5b.5.Completed age of [Name]
q5b_6
Q5b.6.Gender of [Name]
q5b_7
Q5b.7.[Name]'s relationship to the head of household
q5b_8
Q5b.[Name] ever a member of this household
q5b_9
Q5b.9.Highest level of schooling [Name] ever completed
q5b_9_ot_sp
Q5b.9.Other specify
q5b_10
Q5b.10.Year [Name] ever left the household
q5b_11
Q5b.11.Occupation of [Name] before leaving the household
q5b_id2
Q5b.ID2
q5b_12
Q5b.12.Year [Name] moved to his/her current location
q5b_13
Q5b.13.State/Region/Country of [Name]'s current living
q5b_13_ot_sp
Q5b.13.Other specify
q5b_14
Q5b.14.Current occupation of [Name]
q5b_15
Q5b.15.[Name] ever sent remittances to HH (last 12m)
q5b_16
Q5b.16.Type of remittances [Name] ever sent (last 12m)
q5b_17
Q5b.17.Main system [Name] ever used to sent remittances to HH
q5b_17_ot_sp
Q5b.17.Other specify
q5b_18
Q5b.18.No.times [Name] ever sent remittances (last 12m)
q5b_19
Q5b.19.Total value of all remittances [Name] sent (last 12m)
id5
id5.urban/rural
hh_wt
final household weight
id_zone
Zone
strata
group(id_zone id5)
Post_strata
post-stratum (urb_rur, no. hh. members)
adj_hh_wt
adjusted household weight
Total: 38
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