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
87049
Downloads
8939
- 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
Q813.7.8202.Expected value of in-kind [lunch] (q8a3_7_8202)
Data file: 01_world_bank_mplcs-hh_all_data_set.dta
Overview
Valid:
401
Invalid:
3247
Minimum:
200
Maximum:
70000
Type:
Discrete
Decimal:
0
Start:
246
End:
250
Width:
5
Range:
200 - 70000
Format:
Numeric
Questions and instructions
Literal question
How much would your household have spent if you had to pay for these [MEAL]s obtained in-kind?[LUNCH]
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 200 | 1 |
0.2%
|
|
| 300 | 2 |
0.5%
|
|
| 500 | 12 |
3%
|
|
| 640 | 1 |
0.2%
|
|
| 700 | 4 |
1%
|
|
| 750 | 1 |
0.2%
|
|
| 800 | 3 |
0.7%
|
|
| 1000 | 49 |
12.2%
|
|
| 1200 | 3 |
0.7%
|
|
| 1300 | 1 |
0.2%
|
|
| 1500 | 30 |
7.5%
|
|
| 1800 | 1 |
0.2%
|
|
| 1900 | 1 |
0.2%
|
|
| 2000 | 46 |
11.5%
|
|
| 2500 | 5 |
1.2%
|
|
| 2800 | 3 |
0.7%
|
|
| 3000 | 30 |
7.5%
|
|
| 3500 | 20 |
5%
|
|
| 4000 | 15 |
3.7%
|
|
| 4200 | 5 |
1.2%
|
|
| 4500 | 10 |
2.5%
|
|
| 4900 | 2 |
0.5%
|
|
| 5000 | 20 |
5%
|
|
| 5500 | 1 |
0.2%
|
|
| 5600 | 5 |
1.2%
|
|
| 6000 | 14 |
3.5%
|
|
| 6500 | 1 |
0.2%
|
|
| 7000 | 61 |
15.2%
|
|
| 7500 | 5 |
1.2%
|
|
| 8000 | 5 |
1.2%
|
|
| 8400 | 1 |
0.2%
|
|
| 8500 | 2 |
0.5%
|
|
| 9000 | 1 |
0.2%
|
|
| 9800 | 2 |
0.5%
|
|
| 9999 | 1 |
0.2%
|
|
| 10000 | 9 |
2.2%
|
|
| 10500 | 7 |
1.7%
|
|
| 14000 | 6 |
1.5%
|
|
| 15000 | 2 |
0.5%
|
|
| 20000 | 1 |
0.2%
|
|
| 21000 | 6 |
1.5%
|
|
| 30000 | 2 |
0.5%
|
|
| 42000 | 2 |
0.5%
|
|
| 56000 | 1 |
0.2%
|
|
| 70000 | 1 |
0.2%
|
|
| Sysmiss | 3247 |
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.