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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
23538
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.14.Current occupation of [Name] (q5b_14)

Data file: 04_world_bank_mplcs-hh_q5b_remittance.dta

Overview

Valid: 2924
Invalid: 6
Minimum: 1
Maximum: 114
Type: Discrete
Decimal: 0
Start: 75
End: 77
Width: 3
Range: 1 - 114
Format: Numeric

Questions and instructions

Literal question
What is [NAME]'s current occupation?
Categories
Value Category Cases
1 Commissioned Armed Forces Officers 36
1.2%
2 Non-commissioned Armed Forces Officers 8
0.3%
3 Armed Forces Occupations, Other Ranks 22
0.8%
11 Chief executives, Senior Officials, and Legislators 7
0.2%
12 Administrative and Commercial Managers 14
0.5%
13 Production and Specialized Services Managers 2
0.1%
14 Hospitality, Retail and Other Services Managers 81
2.8%
21 Science and Engineering Professionals 14
0.5%
22 Health Professionals 12
0.4%
23 Teaching Professionals 37
1.3%
24 Business and Administration Professionals 0
0%
25 Information and Communications Technology Professionals 1
0%
26 Legal, Social and Cultural Professionals 5
0.2%
31 Science and Engineering Associate Professionals 15
0.5%
32 Health Associate Professionals 7
0.2%
33 Business and Administration Associate Professionals 2
0.1%
34 Legal, Social, Cultural, and Relates Associate Professionals 1
0%
35 Information and Communications Technicians 0
0%
41 General and Keyboard Clerks 3
0.1%
42 Customer Services Clerks 22
0.8%
43 Numerical and Material Recording Clerks 30
1%
44 Other Clerical Support Workers 23
0.8%
51 Personal Services Workers 18
0.6%
52 Sales Workers 59
2%
53 Personal Care Workers 0
0%
54 Protective Services Workers 8
0.3%
61 Market-oriented Skilled Agricultural Workers 15
0.5%
62 Market-oriented Skilled Forestry, Fishery and Hunting Workers 17
0.6%
63 Subsistence Farmers, Fishers, Hunters and Gatherers 270
9.2%
71 Building and Related Trades Workers (excluding Electricians) 44
1.5%
72 Metal, Machinery and Related Trades Workers 17
0.6%
73 Handicraft and Printing Workers 16
0.5%
74 Electrical and Electronic Trades Workers 19
0.6%
75 Food Processing, Woodworking, Garment and Other Craft and Related Trades Workers 203
6.9%
81 Stationary Plant and Machine Operators 8
0.3%
82 Assemblers 18
0.6%
83 Drivers and Mobile Plant Operators 57
1.9%
91 Cleaners and Helpers 49
1.7%
92 Agricultural, Forestry, and Fishery Labourers 275
9.4%
93 Labourers in Mining, Construction, Manufacturing, and Transport 341
11.7%
94 Food Preparation Assistants 50
1.7%
95 Street and Related Sales and Services Workers 114
3.9%
96 Refuse Workers and Other Elementary Workers 163
5.6%
99 Don't know 324
11.1%
101 Housewife/ dependent/ retired/ pensioner 277
9.5%
102 Priest 34
1.2%
103 Student 144
4.9%
104 Umemployment 31
1.1%
105 NGO staff 1
0%
106 Money lender 0
0%
107 rice broker 4
0.1%
108 House rental 0
0%
109 On job trainee 2
0.1%
110 Public health worker 0
0%
111 Farmland leasing 0
0%
112 The President 1
0%
113 Chief minister 2
0.1%
114 Official pawn shop 1
0%
115 Traditional clairvoyant 0
0%
Sysmiss 6
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.
Question post text
IF DO NOT KNOW, WRITE '99'
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