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
78457
Downloads
7668
- 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
Q1.22.Name of region/state/country [Name] ever born (q1_22)
Data file: 02_world_bank_mplcs-hh_member.dta
Overview
Valid:
317
Invalid:
16334
Minimum:
1
Maximum:
21
Type:
Discrete
Decimal:
0
Start:
107
End:
108
Width:
2
Range:
1 - 21
Format:
Numeric
Questions and instructions
Literal question
In which region/state or country was [NAME] born?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Sagaing region | 4 |
1.3%
|
| 2 | Thanitaryi region | 8 |
2.5%
|
| 3 | Bago region | 49 |
15.5%
|
| 4 | Magway region | 24 |
7.6%
|
| 5 | Mandalay region | 24 |
7.6%
|
| 6 | Yangon region | 67 |
21.1%
|
| 7 | Ayeyawardy region | 68 |
21.5%
|
| 8 | Kachin state | 3 |
0.9%
|
| 9 | Kayah state | 1 |
0.3%
|
| 10 | Kayin state | 4 |
1.3%
|
| 11 | Chin state | 3 |
0.9%
|
| 12 | Mon state | 26 |
8.2%
|
| 13 | Rakhine state | 19 |
6%
|
| 14 | Shan state | 13 |
4.1%
|
| 15 | Naypitaw region | 2 |
0.6%
|
| 21 | Thailand | 2 |
0.6%
|
| 22 | Malaysia | 0 |
0%
|
| 23 | Singapore | 0 |
0%
|
| 24 | India | 0 |
0%
|
| 25 | Korea | 0 |
0%
|
| 26 | Japan | 0 |
0%
|
| 27 | China | 0 |
0%
|
| 28 | Phillippines | 0 |
0%
|
| 29 | usa | 0 |
0%
|
| 30 | Australia | 0 |
0%
|
| 31 | Other | 0 |
0%
|
| Sysmiss | 16334 |
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
USE CODES FROM Q18