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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F1]
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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
84963
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  • 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

Q12b.7.1.Value of in-kind receipt for [Disastar](last 12m) (q12b_7_3)

Data file: 01_world_bank_mplcs-hh_all_data_set.dta

Overview

Valid: 17
Invalid: 3631
Minimum: 0
Maximum: 80000
Type: Discrete
Decimal: 0
Start: 571
End: 575
Width: 5
Range: 0 - 80000
Format: Numeric

Questions and instructions

Literal question
What is the value of all in-kind assistance received for [REASON] in the last 12 months?[Due to flood/ drought/ other weather related event]
Categories
Value Category Cases
0 2
11.8%
5000 1
5.9%
8000 2
11.8%
10000 4
23.5%
11000 1
5.9%
12000 1
5.9%
15000 3
17.6%
30000 1
5.9%
50000 1
5.9%
80000 1
5.9%
Sysmiss 3631
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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