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
74900
Downloads
6934
- 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: 03_world_bank_mplcs-hh_3b_health_care.dta
Overview
Valid:
6874
Invalid:
-
Minimum:
101
Maximum:
1502
Type:
Discrete
Decimal:
0
Start:
7
End:
10
Width:
4
Range:
101 - 1502
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Myitkyina | 44 |
0.6%
|
| 102 | Mohnyin | 59 |
0.9%
|
| 103 | Bhamo | 48 |
0.7%
|
| 201 | Loikaw | 113 |
1.6%
|
| 301 | Hpa-an | 124 |
1.8%
|
| 303 | Myawaddy | 60 |
0.9%
|
| 304 | Kawkareik | 74 |
1.1%
|
| 401 | Hakha | 13 |
0.2%
|
| 402 | Falam | 26 |
0.4%
|
| 403 | Mindat | 42 |
0.6%
|
| 501 | Sagaing | 29 |
0.4%
|
| 502 | Shwebo | 106 |
1.5%
|
| 503 | Monywa | 56 |
0.8%
|
| 504 | Katha | 48 |
0.7%
|
| 505 | Kalay | 61 |
0.9%
|
| 506 | Tamu | 30 |
0.4%
|
| 508 | Hkamti | 18 |
0.3%
|
| 509 | Yinmabin | 49 |
0.7%
|
| 601 | Dawei | 174 |
2.5%
|
| 602 | Myeik | 223 |
3.2%
|
| 603 | Kawthoung | 74 |
1.1%
|
| 701 | Bago | 196 |
2.9%
|
| 702 | Taungoo | 168 |
2.4%
|
| 703 | Pyay | 114 |
1.7%
|
| 704 | Thayarwady | 105 |
1.5%
|
| 801 | Magway | 141 |
2.1%
|
| 802 | Minbu | 79 |
1.1%
|
| 803 | Thayet | 134 |
1.9%
|
| 804 | Pakokku | 105 |
1.5%
|
| 805 | Gangaw | 42 |
0.6%
|
| 901 | Mandalay | 166 |
2.4%
|
| 902 | Pyinoolwin | 53 |
0.8%
|
| 903 | Kyaukse | 33 |
0.5%
|
| 904 | Myingyan | 161 |
2.3%
|
| 906 | Yamethin | 80 |
1.2%
|
| 907 | Meiktila | 68 |
1%
|
| 1001 | Mawlamyaing | 143 |
2.1%
|
| 1002 | Thaton | 53 |
0.8%
|
| 1101 | Sittwe | 156 |
2.3%
|
| 1102 | Mrauk-U | 239 |
3.5%
|
| 1103 | Maungdaw | 121 |
1.8%
|
| 1104 | Kyaukpyu | 123 |
1.8%
|
| 1105 | Thandwe | 158 |
2.3%
|
| 1201 | Yangon (North) | 515 |
7.5%
|
| 1202 | Yangon (East) | 526 |
7.7%
|
| 1203 | Yangon (South) | 287 |
4.2%
|
| 1204 | Yangon (West) | 104 |
1.5%
|
| 1301 | Taunggyi | 203 |
3%
|
| 1302 | Loilen | 34 |
0.5%
|
| 1303 | Linkhae | 18 |
0.3%
|
| 1304 | Lashio | 44 |
0.6%
|
| 1305 | Muse | 50 |
0.7%
|
| 1306 | Kyukme | 64 |
0.9%
|
| 1311 | Kengtong | 13 |
0.2%
|
| 1313 | Tachileik | 51 |
0.7%
|
| 1401 | Pathein | 272 |
4%
|
| 1402 | Pyapon | 59 |
0.9%
|
| 1403 | Maubin | 77 |
1.1%
|
| 1404 | Myaungmya | 36 |
0.5%
|
| 1405 | Labutta | 102 |
1.5%
|
| 1406 | Hinthada | 188 |
2.7%
|
| 1501 | NayPyitaw(North) | 21 |
0.3%
|
| 1502 | NayPyitaw (South) | 101 |
1.5%
|
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.