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
74733
Downloads
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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
ID2.District (id2)
Data file: 10_world_bank_mplcs-hh_sec-9b_non_farm_enterprise.dta
Overview
Valid:
2018
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 | 27 |
1.3%
|
| 102 | Mohnyin | 34 |
1.7%
|
| 103 | Bhamo | 21 |
1%
|
| 201 | Loikaw | 33 |
1.6%
|
| 301 | Hpa-an | 39 |
1.9%
|
| 303 | Myawaddy | 22 |
1.1%
|
| 304 | Kawkareik | 18 |
0.9%
|
| 401 | Hakha | 3 |
0.1%
|
| 402 | Falam | 1 |
0%
|
| 403 | Mindat | 6 |
0.3%
|
| 501 | Sagaing | 2 |
0.1%
|
| 502 | Shwebo | 30 |
1.5%
|
| 503 | Monywa | 34 |
1.7%
|
| 504 | Katha | 19 |
0.9%
|
| 505 | Kalay | 11 |
0.5%
|
| 506 | Tamu | 6 |
0.3%
|
| 508 | Hkamti | 4 |
0.2%
|
| 509 | Yinmabin | 9 |
0.4%
|
| 601 | Dawei | 60 |
3%
|
| 602 | Myeik | 60 |
3%
|
| 603 | Kawthoung | 25 |
1.2%
|
| 701 | Bago | 44 |
2.2%
|
| 702 | Taungoo | 25 |
1.2%
|
| 703 | Pyay | 24 |
1.2%
|
| 704 | Thayarwady | 21 |
1%
|
| 801 | Magway | 16 |
0.8%
|
| 802 | Minbu | 5 |
0.2%
|
| 803 | Thayet | 28 |
1.4%
|
| 804 | Pakokku | 8 |
0.4%
|
| 805 | Gangaw | 10 |
0.5%
|
| 901 | Mandalay | 64 |
3.2%
|
| 902 | Pyinoolwin | 21 |
1%
|
| 903 | Kyaukse | 5 |
0.2%
|
| 904 | Myingyan | 37 |
1.8%
|
| 906 | Yamethin | 7 |
0.3%
|
| 907 | Meiktila | 24 |
1.2%
|
| 1001 | Mawlamyaing | 49 |
2.4%
|
| 1002 | Thaton | 11 |
0.5%
|
| 1101 | Sittwe | 67 |
3.3%
|
| 1102 | Mrauk-U | 94 |
4.7%
|
| 1103 | Maungdaw | 42 |
2.1%
|
| 1104 | Kyaukpyu | 57 |
2.8%
|
| 1105 | Thandwe | 42 |
2.1%
|
| 1201 | Yangon (North) | 162 |
8%
|
| 1202 | Yangon (East) | 174 |
8.6%
|
| 1203 | Yangon (South) | 70 |
3.5%
|
| 1204 | Yangon (West) | 60 |
3%
|
| 1301 | Taunggyi | 57 |
2.8%
|
| 1302 | Loilen | 9 |
0.4%
|
| 1303 | Linkhae | 11 |
0.5%
|
| 1304 | Lashio | 14 |
0.7%
|
| 1305 | Muse | 28 |
1.4%
|
| 1306 | Kyukme | 15 |
0.7%
|
| 1311 | Kengtong | 0 |
0%
|
| 1313 | Tachileik | 21 |
1%
|
| 1401 | Pathein | 76 |
3.8%
|
| 1402 | Pyapon | 16 |
0.8%
|
| 1403 | Maubin | 22 |
1.1%
|
| 1404 | Myaungmya | 13 |
0.6%
|
| 1405 | Labutta | 25 |
1.2%
|
| 1406 | Hinthada | 43 |
2.1%
|
| 1501 | NayPyitaw(North) | 5 |
0.2%
|
| 1502 | NayPyitaw (South) | 32 |
1.6%
|
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.