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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
22841
Downloads
271
  • Study Description
  • Data Dictionary
  • Downloads
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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

Q1.5.2.Burmese month [Name] born (q1_5_2_month)

Data file: 02_world_bank_mplcs-hh_member.dta

Overview

Valid: 7194
Invalid: 9457
Minimum: 1
Maximum: 99
Type: Discrete
Decimal: 0
Start: 63
End: 64
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
Q1.5.2.In what month was [NAME] born? {BURMESE MONTH}
Categories
Value Category Cases
1 Jauary 617
8.6%
2 February 605
8.4%
3 March 531
7.4%
4 April 523
7.3%
5 May 515
7.2%
6 June 457
6.4%
7 July 653
9.1%
8 August 499
6.9%
9 September 610
8.5%
10 October 562
7.8%
11 November 548
7.6%
12 December 481
6.7%
99 Don't remember 593
8.2%
Sysmiss 9457
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.
Interviewer instructions
Year and month of birth. Use provided codes for month. Year should be recorded with 4-digits. If the respondent only knows the Burmese calendar, you will record the Burmese month and year under those columns. Leave the columns for the western month and year blank, during the interview- you will do the conversion upon returning from the field as to avoid any hurried miscalculations.
Question post text
CALCULATE AGE, COMPARE TO Q4 AND RESOLVE
IF DO NOT KNOW MONTH, WRITE '99'
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