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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
22984
Downloads
271
  • 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

Q4.12.Main occupation of [Name] (last 7d) (q4_12)

Data file: 02_world_bank_mplcs-hh_member.dta

Overview

Valid: 6863
Invalid: 9788
Minimum: 1
Maximum: 110
Type: Discrete
Decimal: 0
Start: 273
End: 275
Width: 3
Range: 1 - 110
Format: Numeric

Questions and instructions

Literal question
What is [NAME]'s main occupation in the last 7 days?
Categories
Value Category Cases
1 Commissioned Armed Forces Officers 5
0.1%
2 Non-commissioned Armed Forces Officers 8
0.1%
3 Armed Forces Occupations, Other Ranks 11
0.2%
11 Chief executives, Senior Officials, and Legislators 11
0.2%
12 Administrative and Commercial Managers 31
0.5%
13 Production and Specialized Services Managers 6
0.1%
14 Hospitality, Retail and Other Services Managers 565
8.2%
21 Science and Engineering Professionals 15
0.2%
22 Health Professionals 16
0.2%
23 Teaching Professionals 148
2.2%
24 Business and Administration Professionals 1
0%
25 Information and Communications Technology Professionals 6
0.1%
26 Legal, Social and Cultural Professionals 6
0.1%
31 Science and Engineering Associate Professionals 12
0.2%
32 Health Associate Professionals 16
0.2%
33 Business and Administration Associate Professionals 5
0.1%
34 Legal, Social, Cultural, and Relates Associate Professionals 2
0%
35 Information and Communications Technicians 2
0%
41 General and Keyboard Clerks 31
0.5%
42 Customer Services Clerks 18
0.3%
43 Numerical and Material Recording Clerks 88
1.3%
44 Other Clerical Support Workers 50
0.7%
51 Personal Services Workers 63
0.9%
52 Sales Workers 101
1.5%
53 Personal Care Workers 10
0.1%
54 Protective Services Workers 19
0.3%
61 Market-oriented Skilled Agricultural Workers 85
1.2%
62 Market-oriented Skilled Forestry, Fishery and Hunting Workers 143
2.1%
63 Subsistence Farmers, Fishers, Hunters and Gatherers 1491
21.7%
71 Building and Related Trades Workers (excluding Electricians) 168
2.4%
72 Metal, Machinery and Related Trades Workers 24
0.3%
73 Handicraft and Printing Workers 67
1%
74 Electrical and Electronic Trades Workers 29
0.4%
75 Food Processing, Woodworking, Garment and Other Craft and Related Trades Workers 756
11%
81 Stationary Plant and Machine Operators 11
0.2%
82 Assemblers 46
0.7%
83 Drivers and Mobile Plant Operators 186
2.7%
91 Cleaners and Helpers 48
0.7%
92 Agricultural, Forestry, and Fishery Labourers 960
14%
93 Labourers in Mining, Construction, Manufacturing, and Transport 635
9.3%
94 Food Preparation Assistants 35
0.5%
95 Street and Related Sales and Services Workers 570
8.3%
96 Refuse Workers and Other Elementary Workers 320
4.7%
101 Housewife/ dependent/ retired/ pensioner 0
0%
102 Priest 10
0.1%
103 Student 0
0%
104 Umemployment 0
0%
105 NGO staff 1
0%
106 Money lender 4
0.1%
107 rice broker 17
0.2%
108 House rental 8
0.1%
109 On job trainee 0
0%
110 Public health worker 3
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 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.
Interviewer instructions
If the person uses vague answers, such as civil servant, businessman, or laborer, ask him/her the exact type of job he/she did most of the time, and then write the occupation in the space provided. Occupation will best be described by such job titles as teacher, driver, cook, etc. If a person has two or more occupations, enter the one in which he/she spends most of his/her time. You can enter information about a second job later in the section.
See detail in HH questionnaire manual.
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