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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
22903
Downloads
271
  • Study Description
  • Data Dictionary
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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

Q4.15.Avg no.hours per day [Name] ever worked in main occupation (last 7d) (q4_15)

Data file: 02_world_bank_mplcs-hh_member.dta

Overview

Valid: 6863
Invalid: 9788
Minimum: 1
Maximum: 24
Type: Discrete
Decimal: 0
Start: 280
End: 281
Width: 2
Range: 1 - 24
Format: Numeric

Questions and instructions

Literal question
In the last 7 days on the days worked, what was the average number of hours per day [NAME] spent on this main occupation?
Categories
Value Category Cases
1 62
0.9%
2 197
2.9%
3 261
3.8%
4 419
6.1%
5 553
8.1%
6 542
7.9%
7 476
6.9%
8 1742
25.4%
9 580
8.5%
10 1114
16.2%
11 191
2.8%
12 509
7.4%
13 88
1.3%
14 65
0.9%
15 51
0.7%
16 5
0.1%
18 3
0%
20 1
0%
22 1
0%
24 3
0%
Sysmiss 9788
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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