Poverty and Living Conditions Survey 2014-2015
Myanmar, 2015
Get Microdata
Reference ID
MMR_2015_MPLCS_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Jul 16, 2021
Last modified
Jul 16, 2021
Page views
47372
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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
Q4.31.[Name]'s secondary occupation (last 7d) (q4_31)
Data file: 02_world_bank_mplcs-hh_member.dta
Overview
Valid:
523
Invalid:
16128
Minimum:
11
Maximum:
115
Type:
Discrete
Decimal:
0
Start:
324
End:
326
Width:
3
Range:
11 - 115
Format:
Numeric
Questions and instructions
Literal question
What is [NAME]'s secondary occupation in the last 7 days?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Commissioned Armed Forces Officers | 0 |
0%
|
| 2 | Non-commissioned Armed Forces Officers | 0 |
0%
|
| 3 | Armed Forces Occupations, Other Ranks | 0 |
0%
|
| 11 | Chief executives, Senior Officials, and Legislators | 1 |
0.2%
|
| 12 | Administrative and Commercial Managers | 1 |
0.2%
|
| 13 | Production and Specialized Services Managers | 0 |
0%
|
| 14 | Hospitality, Retail and Other Services Managers | 41 |
7.8%
|
| 21 | Science and Engineering Professionals | 0 |
0%
|
| 22 | Health Professionals | 3 |
0.6%
|
| 23 | Teaching Professionals | 11 |
2.1%
|
| 24 | Business and Administration Professionals | 0 |
0%
|
| 25 | Information and Communications Technology Professionals | 0 |
0%
|
| 26 | Legal, Social and Cultural Professionals | 0 |
0%
|
| 31 | Science and Engineering Associate Professionals | 3 |
0.6%
|
| 32 | Health Associate Professionals | 2 |
0.4%
|
| 33 | Business and Administration Associate Professionals | 0 |
0%
|
| 34 | Legal, Social, Cultural, and Relates Associate Professionals | 1 |
0.2%
|
| 35 | Information and Communications Technicians | 0 |
0%
|
| 41 | General and Keyboard Clerks | 0 |
0%
|
| 42 | Customer Services Clerks | 0 |
0%
|
| 43 | Numerical and Material Recording Clerks | 1 |
0.2%
|
| 44 | Other Clerical Support Workers | 1 |
0.2%
|
| 51 | Personal Services Workers | 7 |
1.3%
|
| 52 | Sales Workers | 1 |
0.2%
|
| 53 | Personal Care Workers | 0 |
0%
|
| 54 | Protective Services Workers | 0 |
0%
|
| 61 | Market-oriented Skilled Agricultural Workers | 6 |
1.1%
|
| 62 | Market-oriented Skilled Forestry, Fishery and Hunting Workers | 14 |
2.7%
|
| 63 | Subsistence Farmers, Fishers, Hunters and Gatherers | 192 |
36.7%
|
| 71 | Building and Related Trades Workers (excluding Electricians) | 7 |
1.3%
|
| 72 | Metal, Machinery and Related Trades Workers | 1 |
0.2%
|
| 73 | Handicraft and Printing Workers | 2 |
0.4%
|
| 74 | Electrical and Electronic Trades Workers | 5 |
1%
|
| 75 | Food Processing, Woodworking, Garment and Other Craft and Related Trades Workers | 39 |
7.5%
|
| 81 | Stationary Plant and Machine Operators | 1 |
0.2%
|
| 82 | Assemblers | 3 |
0.6%
|
| 83 | Drivers and Mobile Plant Operators | 19 |
3.6%
|
| 91 | Cleaners and Helpers | 1 |
0.2%
|
| 92 | Agricultural, Forestry, and Fishery Labourers | 68 |
13%
|
| 93 | Labourers in Mining, Construction, Manufacturing, and Transport | 43 |
8.2%
|
| 94 | Food Preparation Assistants | 0 |
0%
|
| 95 | Street and Related Sales and Services Workers | 25 |
4.8%
|
| 96 | Refuse Workers and Other Elementary Workers | 18 |
3.4%
|
| 101 | Housewife/ dependent/ retired/ pensioner | 0 |
0%
|
| 102 | Priest | 0 |
0%
|
| 103 | Student | 0 |
0%
|
| 104 | Umemployment | 0 |
0%
|
| 105 | NGO staff | 0 |
0%
|
| 106 | Money lender | 2 |
0.4%
|
| 107 | rice broker | 0 |
0%
|
| 108 | House rental | 0 |
0%
|
| 109 | On job trainee | 0 |
0%
|
| 110 | Public health worker | 3 |
0.6%
|
| 111 | Farmland leasing | 0 |
0%
|
| 112 | The President | 0 |
0%
|
| 113 | Chief minister | 0 |
0%
|
| 114 | Official pawn shop | 0 |
0%
|
| 115 | Traditional clairvoyant | 1 |
0.2%
|
| Sysmiss | 16128 |
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.