Poverty and Living Conditions Survey 2014-2015
Myanmar, 2015
Get MicrodataCreated on
Oct 14, 2021
Last modified
Oct 14, 2021
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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
Q4.20.State/Region/Country of [Name]'s place or work (q4_20)
Data file: 02_world_bank_mplcs-hh_member.dta
Overview
Valid:
66
Invalid:
16585
Minimum:
1
Maximum:
27
Type:
Discrete
Decimal:
0
Start:
291
End:
292
Width:
2
Range:
1 - 27
Format:
Numeric
Questions and instructions
Literal question
Where was [NAME]'s place of work?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Sagaing region | 1 |
1.5%
|
| 2 | Thanitaryi region | 2 |
3%
|
| 3 | Bago region | 1 |
1.5%
|
| 4 | Magway region | 1 |
1.5%
|
| 5 | Mandalay region | 9 |
13.6%
|
| 6 | Yangon region | 11 |
16.7%
|
| 7 | Ayeyawardy region | 1 |
1.5%
|
| 8 | Kachin state | 3 |
4.5%
|
| 9 | Kayah state | 0 |
0%
|
| 10 | Kayin state | 3 |
4.5%
|
| 11 | Chin state | 0 |
0%
|
| 12 | Mon state | 0 |
0%
|
| 13 | Rakhine state | 1 |
1.5%
|
| 14 | Shan state | 9 |
13.6%
|
| 15 | Naypitaw region | 3 |
4.5%
|
| 21 | Thailand | 8 |
12.1%
|
| 22 | Malaysia | 4 |
6.1%
|
| 23 | Singapore | 0 |
0%
|
| 24 | India | 1 |
1.5%
|
| 25 | Korea | 1 |
1.5%
|
| 26 | Japan | 0 |
0%
|
| 27 | China | 7 |
10.6%
|
| 28 | Phillippines | 0 |
0%
|
| 29 | Usa | 0 |
0%
|
| 30 | Australia | 0 |
0%
|
| 31 | Other (specify) | 0 |
0%
|
| Sysmiss | 16585 |
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.