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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F13]
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Poverty and Living Conditions Survey 2014-2015

Myanmar, 2015
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Reference ID
MMR_2015_MPLCS_v01_M
DOI
https://doi.org/10.48529/tyd0-f528
Producer(s)
World Bank
Collection(s)
Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 16, 2021
Last modified
Jul 16, 2021
Page views
87232
Downloads
8944
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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

Q10c.Crop name1 (q10c_crop_name)

Data file: 13_world_bank_mplcs-hh_sec-10c_labour.dta

Overview

Valid: 2752
Invalid: -
Minimum: 102
Maximum: 6666
Type: Discrete
Decimal: 0
Start: 43
End: 46
Width: 4
Range: 102 - 6666
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Paddy 0
0%
102 Wheat 13
0.5%
103 Maize 210
7.6%
104 Millet 6
0.2%
201 Groundnut(Rain) 85
3.1%
202 Groundnut(Winter) 69
2.5%
203 Sesame(Early) 107
3.9%
204 Sesame(Late) 37
1.3%
205 Mustard 18
0.7%
301 Matpe(Black gram) 103
3.7%
302 Pedisein(Green gram) 107
3.9%
303 Butter bean 11
0.4%
304 Bocate(Cow pea) 3
0.1%
305 Sultani 7
0.3%
306 Sultapya 1
0%
307 Pelun 5
0.2%
308 Pesigon(Pigeon pea) 75
2.7%
309 Peyin(Rice bean) 4
0.1%
310 Pebyugale(Duffin bean) 9
0.3%
311 Pegyi(Lablab bean) 23
0.8%
312 Pegya(Lima bean) 8
0.3%
313 Sadawpe(Garden pea) 5
0.2%
314 Peyazar(Lentil bean) 3
0.1%
315 Penauk(Krishna mung) 7
0.3%
316 Gram(Chick pea) 26
0.9%
317 Peboke(Soy bean) 21
0.8%
401 Chillies 61
2.2%
402 Onion 47
1.7%
403 Garlic 22
0.8%
501 Tobacco(Virginia) 3
0.1%
502 Tobacco(Myanmar) 5
0.2%
503 Betel nut 53
1.9%
504 Betel leaves 53
1.9%
601 Tea 34
1.2%
602 Coffee 1
0%
603 Sugarcane 16
0.6%
604 Toddy Palm 5
0.2%
701 Potato 17
0.6%
702 Vegetables 186
6.8%
703 Fruits 72
2.6%
801 Cotton(Wagyi) 15
0.5%
802 Cotton(Mahlaing 5/6) 6
0.2%
803 Cotton(Long Staple) 15
0.5%
804 Jute 0
0%
901 Rubber 39
1.4%
902 Coconut 9
0.3%
903 Plants(Medicinal) 1
0%
904 Thanatphet 1
0%
905 Dhani 19
0.7%
906 Flowers 15
0.5%
907 Tumeric 15
0.5%
908 Ginger 4
0.1%
909 Sunflower 11
0.4%
910 Tamarind 1
0%
911 Green beans 11
0.4%
912 Teak 1
0%
913 French beans 3
0.1%
915 Thanakha ( Barks of a tree used for skin care, native to dry zone of Myanmar) 8
0.3%
917 Agarwood 2
0.1%
918 Stinky beans 3
0.1%
919 Niger plants 5
0.2%
920 Indian leek 10
0.4%
922 Cashew 21
0.8%
923 Opium poppies 12
0.4%
924 Sweet potatoes 1
0%
925 a type of local beans 8
0.3%
926 bamboo 2
0.1%
927 bark of a tree 2
0.1%
928 mango 6
0.2%
929 banana 5
0.2%
930 pineapple 2
0.1%
931 mushroom 4
0.1%
932 Fennel 1
0%
933 Plum 1
0%
934 Cassava 1
0%
935 Plants for firewoods 1
0%
936 a type of local fruit 1
0%
937 lemon plant 1
0%
2222 Rice (Ngasein) 169
6.1%
3333 Rice (Emata) 647
23.5%
4444 Rice (Medone) 67
2.4%
5555 Rice (Nga kywe) 55
2%
6666 Kaukhnyin (Sticky Rice) 13
0.5%
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.
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