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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F5]
central

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
78318
Downloads
7649
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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

ID1.State/division (id1)

Data file: 05_world_bank_mplcs-hh_sec-7_hh_assets.dta

Overview

Valid: 134976
Invalid: -
Minimum: 1
Maximum: 15
Type: Discrete
Decimal: 0
Start: 5
End: 6
Width: 2
Range: 1 - 15
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Kachin 3996
3%
2 Kayah 1776
1.3%
3 Kayin 4440
3.3%
4 Chin 1776
1.3%
5 Sagaing 7992
5.9%
6 Taninthayi 8880
6.6%
7 Bago 9768
7.2%
8 Magway 6660
4.9%
9 Mandalay 9768
7.2%
10 Mon 3996
3%
11 Rakhine 17760
13.2%
12 Yangon 28416
21.1%
13 Shan 14652
10.9%
14 Ayeyarwaddy 12876
9.5%
15 NayPyitaw 2220
1.6%
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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