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
85658
Downloads
8792
- 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
Q.10e.22.Money HH spent on other veterinary services (last 12m) (q10e_22)
Data file: 01_world_bank_mplcs-hh_all_data_set.dta
Overview
Valid:
1636
Invalid:
2012
Minimum:
0
Maximum:
200000
Type:
Discrete
Decimal:
0
Start:
295
End:
300
Width:
6
Range:
0 - 200000
Format:
Numeric
Questions and instructions
Literal question
During the last 12 months, how much did your household spend in total on other veterinary services, such as dipping, deworming, etc., for all livestock owned by your household?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1393 |
85.1%
|
|
| 500 | 6 |
0.4%
|
|
| 600 | 1 |
0.1%
|
|
| 750 | 1 |
0.1%
|
|
| 900 | 1 |
0.1%
|
|
| 1000 | 15 |
0.9%
|
|
| 1500 | 7 |
0.4%
|
|
| 1800 | 1 |
0.1%
|
|
| 2000 | 17 |
1%
|
|
| 2500 | 6 |
0.4%
|
|
| 3000 | 16 |
1%
|
|
| 3500 | 2 |
0.1%
|
|
| 4000 | 14 |
0.9%
|
|
| 4500 | 2 |
0.1%
|
|
| 5000 | 17 |
1%
|
|
| 6000 | 10 |
0.6%
|
|
| 7000 | 4 |
0.2%
|
|
| 7500 | 2 |
0.1%
|
|
| 8000 | 6 |
0.4%
|
|
| 9000 | 2 |
0.1%
|
|
| 9600 | 4 |
0.2%
|
|
| 9645 | 1 |
0.1%
|
|
| 10000 | 21 |
1.3%
|
|
| 12000 | 5 |
0.3%
|
|
| 13500 | 2 |
0.1%
|
|
| 14000 | 2 |
0.1%
|
|
| 15000 | 16 |
1%
|
|
| 17000 | 1 |
0.1%
|
|
| 18000 | 2 |
0.1%
|
|
| 20000 | 16 |
1%
|
|
| 22000 | 1 |
0.1%
|
|
| 25000 | 2 |
0.1%
|
|
| 27000 | 1 |
0.1%
|
|
| 30000 | 15 |
0.9%
|
|
| 35000 | 3 |
0.2%
|
|
| 40000 | 6 |
0.4%
|
|
| 42000 | 1 |
0.1%
|
|
| 50000 | 5 |
0.3%
|
|
| 55000 | 1 |
0.1%
|
|
| 56000 | 1 |
0.1%
|
|
| 60000 | 2 |
0.1%
|
|
| 70000 | 2 |
0.1%
|
|
| 100000 | 1 |
0.1%
|
|
| 150000 | 1 |
0.1%
|
|
| 200000 | 1 |
0.1%
|
|
| Sysmiss | 2012 |
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
IF NONE, RECORD "0".