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
85428
Downloads
8731
- 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
Q6.15.Monthly rental cost for the dwelling (q6_15)
Data file: 01_world_bank_mplcs-hh_all_data_set.dta
Overview
Valid:
251
Invalid:
3397
Minimum:
5000
Maximum:
250000
Type:
Discrete
Decimal:
0
Start:
101
End:
106
Width:
6
Range:
5000 - 250000
Format:
Numeric
Questions and instructions
Literal question
How much do you pay per month to rent this dwelling?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 5000 | 10 |
4%
|
|
| 8000 | 1 |
0.4%
|
|
| 8300 | 1 |
0.4%
|
|
| 10000 | 11 |
4.4%
|
|
| 13000 | 1 |
0.4%
|
|
| 14000 | 1 |
0.4%
|
|
| 15000 | 11 |
4.4%
|
|
| 16000 | 1 |
0.4%
|
|
| 16600 | 1 |
0.4%
|
|
| 18000 | 1 |
0.4%
|
|
| 20000 | 22 |
8.8%
|
|
| 22000 | 1 |
0.4%
|
|
| 22500 | 1 |
0.4%
|
|
| 25000 | 13 |
5.2%
|
|
| 26000 | 1 |
0.4%
|
|
| 28000 | 1 |
0.4%
|
|
| 30000 | 32 |
12.7%
|
|
| 32000 | 1 |
0.4%
|
|
| 35000 | 20 |
8%
|
|
| 40000 | 17 |
6.8%
|
|
| 42000 | 1 |
0.4%
|
|
| 45000 | 5 |
2%
|
|
| 47000 | 1 |
0.4%
|
|
| 48000 | 1 |
0.4%
|
|
| 50000 | 22 |
8.8%
|
|
| 55000 | 3 |
1.2%
|
|
| 60000 | 8 |
3.2%
|
|
| 65000 | 2 |
0.8%
|
|
| 70000 | 9 |
3.6%
|
|
| 75000 | 1 |
0.4%
|
|
| 80000 | 7 |
2.8%
|
|
| 85000 | 1 |
0.4%
|
|
| 90000 | 1 |
0.4%
|
|
| 100000 | 14 |
5.6%
|
|
| 120000 | 6 |
2.4%
|
|
| 150000 | 9 |
3.6%
|
|
| 160000 | 1 |
0.4%
|
|
| 200000 | 7 |
2.8%
|
|
| 230000 | 1 |
0.4%
|
|
| 250000 | 3 |
1.2%
|
|
| Sysmiss | 3397 |
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
Then skip to Q.17.