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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F2]
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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
78568
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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

Q4.42.Main occupation of [Name]'s other job (q4_42)

Data file: 02_world_bank_mplcs-hh_member.dta

Overview

Valid: 2997
Invalid: 13654
Minimum: 1
Maximum: 108
Type: Discrete
Decimal: 0
Start: 361
End: 363
Width: 3
Range: 1 - 108
Format: Numeric

Questions and instructions

Literal question
What was [NAME]'s main occupation for this job?
Categories
Value Category Cases
1 Commissioned Armed Forces Officers 1
0%
2 Non-commissioned Armed Forces Officers 0
0%
3 Armed Forces Occupations, Other Ranks 1
0%
11 Chief executives, Senior Officials, and Legislators 0
0%
12 Administrative and Commercial Managers 1
0%
13 Production and Specialized Services Managers 0
0%
14 Hospitality, Retail and Other Services Managers 65
2.2%
21 Science and Engineering Professionals 0
0%
22 Health Professionals 1
0%
23 Teaching Professionals 46
1.5%
24 Business and Administration Professionals 1
0%
25 Information and Communications Technology Professionals 0
0%
26 Legal, Social and Cultural Professionals 2
0.1%
31 Science and Engineering Associate Professionals 2
0.1%
32 Health Associate Professionals 1
0%
33 Business and Administration Associate Professionals 0
0%
34 Legal, Social, Cultural, and Relates Associate Professionals 0
0%
35 Information and Communications Technicians 0
0%
41 General and Keyboard Clerks 4
0.1%
42 Customer Services Clerks 2
0.1%
43 Numerical and Material Recording Clerks 6
0.2%
44 Other Clerical Support Workers 5
0.2%
51 Personal Services Workers 12
0.4%
52 Sales Workers 12
0.4%
53 Personal Care Workers 1
0%
54 Protective Services Workers 5
0.2%
61 Market-oriented Skilled Agricultural Workers 97
3.2%
62 Market-oriented Skilled Forestry, Fishery and Hunting Workers 46
1.5%
63 Subsistence Farmers, Fishers, Hunters and Gatherers 1413
47.1%
71 Building and Related Trades Workers (excluding Electricians) 47
1.6%
72 Metal, Machinery and Related Trades Workers 6
0.2%
73 Handicraft and Printing Workers 20
0.7%
74 Electrical and Electronic Trades Workers 3
0.1%
75 Food Processing, Woodworking, Garment and Other Craft and Related Trades Workers 103
3.4%
81 Stationary Plant and Machine Operators 2
0.1%
82 Assemblers 13
0.4%
83 Drivers and Mobile Plant Operators 24
0.8%
91 Cleaners and Helpers 7
0.2%
92 Agricultural, Forestry, and Fishery Labourers 685
22.9%
93 Labourers in Mining, Construction, Manufacturing, and Transport 150
5%
94 Food Preparation Assistants 6
0.2%
95 Street and Related Sales and Services Workers 98
3.3%
96 Refuse Workers and Other Elementary Workers 97
3.2%
101 Housewife/ dependent/ retired/ pensioner 0
0%
102 Priest 1
0%
103 Student 0
0%
104 Umemployment 0
0%
105 NGO staff 0
0%
106 Money lender 2
0.1%
107 rice broker 4
0.1%
108 House rental 5
0.2%
109 On job trainee 0
0%
110 Public health worker 0
0%
111 Farmland leasing 0
0%
112 The President 0
0%
113 Chief minister 0
0%
114 Official pawn shop 0
0%
115 Traditional clairvoyant 0
0%
Sysmiss 13654
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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