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
Q5b.13.State/Region/Country of [Name]'s current living (q5b_13)
Data file: 04_world_bank_mplcs-hh_q5b_remittance.dta
Overview
Valid:
2924
Invalid:
6
Minimum:
1
Maximum:
31
Type:
Discrete
Decimal:
0
Start:
71
End:
72
Width:
2
Range:
1 - 31
Format:
Numeric
Questions and instructions
Literal question
In which country or region does [NAME] currently live?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Sagaing region | 168 |
5.7%
|
| 2 | Thanitaryi region | 145 |
5%
|
| 3 | Bago region | 158 |
5.4%
|
| 4 | Magway region | 113 |
3.9%
|
| 5 | Mandalay region | 213 |
7.3%
|
| 6 | Yangon region | 516 |
17.6%
|
| 7 | Ayeyawardy region | 121 |
4.1%
|
| 8 | Kachin state | 92 |
3.1%
|
| 9 | Kayah state | 37 |
1.3%
|
| 10 | Kayin state | 38 |
1.3%
|
| 11 | Chin state | 19 |
0.6%
|
| 12 | Mon state | 47 |
1.6%
|
| 13 | Rakhine state | 192 |
6.6%
|
| 14 | Shan state | 242 |
8.3%
|
| 15 | Naypitaw region | 62 |
2.1%
|
| 21 | Thailand | 536 |
18.3%
|
| 22 | Malaysia | 117 |
4%
|
| 23 | Singapore | 39 |
1.3%
|
| 24 | India | 3 |
0.1%
|
| 25 | Korea | 7 |
0.2%
|
| 26 | Japan | 5 |
0.2%
|
| 27 | China | 25 |
0.9%
|
| 28 | Phillippines | 0 |
0%
|
| 29 | usa | 14 |
0.5%
|
| 30 | Australia | 2 |
0.1%
|
| 31 | Other | 13 |
0.4%
|
| 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.