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
74777
Downloads
6925
- 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
ID2.District (id2)
Data file: 17_world_bank_mplcs-hh_sec-10g_boat.dta
Overview
Valid:
176
Invalid:
-
Minimum:
301
Maximum:
1502
Type:
Discrete
Decimal:
0
Start:
7
End:
10
Width:
4
Range:
301 - 1502
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Myitkyina | 0 |
0%
|
| 102 | Mohnyin | 0 |
0%
|
| 103 | Bhamo | 0 |
0%
|
| 201 | Loikaw | 0 |
0%
|
| 301 | Hpa-an | 6 |
3.4%
|
| 303 | Myawaddy | 0 |
0%
|
| 304 | Kawkareik | 3 |
1.7%
|
| 401 | Hakha | 0 |
0%
|
| 402 | Falam | 0 |
0%
|
| 403 | Mindat | 2 |
1.1%
|
| 501 | Sagaing | 1 |
0.6%
|
| 502 | Shwebo | 3 |
1.7%
|
| 503 | Monywa | 0 |
0%
|
| 504 | Katha | 1 |
0.6%
|
| 505 | Kalay | 1 |
0.6%
|
| 506 | Tamu | 0 |
0%
|
| 508 | Hkamti | 0 |
0%
|
| 509 | Yinmabin | 0 |
0%
|
| 601 | Dawei | 0 |
0%
|
| 602 | Myeik | 23 |
13.1%
|
| 603 | Kawthoung | 11 |
6.3%
|
| 701 | Bago | 1 |
0.6%
|
| 702 | Taungoo | 0 |
0%
|
| 703 | Pyay | 0 |
0%
|
| 704 | Thayarwady | 1 |
0.6%
|
| 801 | Magway | 0 |
0%
|
| 802 | Minbu | 0 |
0%
|
| 803 | Thayet | 0 |
0%
|
| 804 | Pakokku | 0 |
0%
|
| 805 | Gangaw | 0 |
0%
|
| 901 | Mandalay | 0 |
0%
|
| 902 | Pyinoolwin | 0 |
0%
|
| 903 | Kyaukse | 0 |
0%
|
| 904 | Myingyan | 0 |
0%
|
| 906 | Yamethin | 0 |
0%
|
| 907 | Meiktila | 1 |
0.6%
|
| 1001 | Mawlamyaing | 2 |
1.1%
|
| 1002 | Thaton | 0 |
0%
|
| 1101 | Sittwe | 9 |
5.1%
|
| 1102 | Mrauk-U | 17 |
9.7%
|
| 1103 | Maungdaw | 3 |
1.7%
|
| 1104 | Kyaukpyu | 11 |
6.3%
|
| 1105 | Thandwe | 12 |
6.8%
|
| 1201 | Yangon (North) | 17 |
9.7%
|
| 1202 | Yangon (East) | 0 |
0%
|
| 1203 | Yangon (South) | 8 |
4.5%
|
| 1204 | Yangon (West) | 0 |
0%
|
| 1301 | Taunggyi | 6 |
3.4%
|
| 1302 | Loilen | 0 |
0%
|
| 1303 | Linkhae | 0 |
0%
|
| 1304 | Lashio | 0 |
0%
|
| 1305 | Muse | 0 |
0%
|
| 1306 | Kyukme | 0 |
0%
|
| 1311 | Kengtong | 0 |
0%
|
| 1313 | Tachileik | 0 |
0%
|
| 1401 | Pathein | 11 |
6.3%
|
| 1402 | Pyapon | 6 |
3.4%
|
| 1403 | Maubin | 11 |
6.3%
|
| 1404 | Myaungmya | 1 |
0.6%
|
| 1405 | Labutta | 6 |
3.4%
|
| 1406 | Hinthada | 1 |
0.6%
|
| 1501 | NayPyitaw(North) | 0 |
0%
|
| 1502 | NayPyitaw (South) | 1 |
0.6%
|
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.