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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F4]
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
24433
Downloads
283
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

Q5b.11.Occupation of [Name] before leaving the household (q5b_11)

Data file: 04_world_bank_mplcs-hh_q5b_remittance.dta

Overview

Valid: 2744
Invalid: 186
Minimum: 1
Maximum: 109
Type: Discrete
Decimal: 0
Start: 62
End: 64
Width: 3
Range: 1 - 109
Format: Numeric

Questions and instructions

Literal question
What was [NAME]'s occupation prior to leaving the household?[NAME]
Categories
Value Category Cases
1 Commissioned Armed Forces Officers 44
1.6%
2 Non-commissioned Armed Forces Officers 2
0.1%
3 Armed Forces Occupations, Other Ranks 5
0.2%
11 Chief executives, Senior Officials, and Legislators 1
0%
12 Administrative and Commercial Managers 8
0.3%
13 Production and Specialized Services Managers 2
0.1%
14 Hospitality, Retail and Other Services Managers 54
2%
21 Science and Engineering Professionals 6
0.2%
22 Health Professionals 5
0.2%
23 Teaching Professionals 32
1.2%
24 Business and Administration Professionals 0
0%
25 Information and Communications Technology Professionals 0
0%
26 Legal, Social and Cultural Professionals 2
0.1%
31 Science and Engineering Associate Professionals 3
0.1%
32 Health Associate Professionals 2
0.1%
33 Business and Administration Associate Professionals 2
0.1%
34 Legal, Social, Cultural, and Relates Associate Professionals 1
0%
35 Information and Communications Technicians 1
0%
41 General and Keyboard Clerks 5
0.2%
42 Customer Services Clerks 5
0.2%
43 Numerical and Material Recording Clerks 9
0.3%
44 Other Clerical Support Workers 14
0.5%
51 Personal Services Workers 9
0.3%
52 Sales Workers 28
1%
53 Personal Care Workers 0
0%
54 Protective Services Workers 3
0.1%
61 Market-oriented Skilled Agricultural Workers 43
1.6%
62 Market-oriented Skilled Forestry, Fishery and Hunting Workers 20
0.7%
63 Subsistence Farmers, Fishers, Hunters and Gatherers 593
21.6%
71 Building and Related Trades Workers (excluding Electricians) 22
0.8%
72 Metal, Machinery and Related Trades Workers 8
0.3%
73 Handicraft and Printing Workers 18
0.7%
74 Electrical and Electronic Trades Workers 8
0.3%
75 Food Processing, Woodworking, Garment and Other Craft and Related Trades Workers 119
4.3%
81 Stationary Plant and Machine Operators 2
0.1%
82 Assemblers 5
0.2%
83 Drivers and Mobile Plant Operators 28
1%
91 Cleaners and Helpers 10
0.4%
92 Agricultural, Forestry, and Fishery Labourers 440
16%
93 Labourers in Mining, Construction, Manufacturing, and Transport 128
4.7%
94 Food Preparation Assistants 8
0.3%
95 Street and Related Sales and Services Workers 90
3.3%
96 Refuse Workers and Other Elementary Workers 164
6%
99 Don't know 2
0.1%
101 Housewife/ dependent/ retired/ pensioner 292
10.6%
102 Priest 6
0.2%
103 Student 399
14.5%
104 Umemployment 85
3.1%
105 NGO staff 2
0.1%
106 Money lender 0
0%
107 rice broker 5
0.2%
108 House rental 0
0%
109 On job trainee 4
0.1%
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 186
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
Refer to the instructions for Section 4, Q10 for how to best capture the individual's occupation. Write down the description of the job; you will fill in the occupation code after the interview.
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