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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
22878
Downloads
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  • 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

Q4.17.Avg no.days per month [Name] ever worked in main occupation (last 12m) (q4_17)

Data file: 02_world_bank_mplcs-hh_member.dta

Overview

Valid: 6863
Invalid: 9788
Minimum: 1
Maximum: 30
Type: Discrete
Decimal: 0
Start: 284
End: 285
Width: 2
Range: 1 - 30
Format: Numeric

Questions and instructions

Literal question
In the last 12 months, in the months worked, what was the average number of days per month [NAME] spent on this main occupation?
Categories
Value Category Cases
1 17
0.2%
2 27
0.4%
3 37
0.5%
4 27
0.4%
5 79
1.2%
6 39
0.6%
7 44
0.6%
8 49
0.7%
9 5
0.1%
10 221
3.2%
11 2
0%
12 84
1.2%
13 10
0.1%
14 22
0.3%
15 436
6.4%
16 43
0.6%
17 6
0.1%
18 26
0.4%
19 6
0.1%
20 1062
15.5%
21 7
0.1%
22 210
3.1%
23 41
0.6%
24 280
4.1%
25 712
10.4%
26 460
6.7%
27 84
1.2%
28 337
4.9%
29 85
1.2%
30 2405
35%
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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