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    Home / Central Data Catalog / MWI_2013_MRLS-R2_V01_M / variable [F78]
central

Rural Livelihood Survey 2012-2013, Round 2

Malawi, 2013
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Reference ID
MWI_2013_MRLS-R2_v01_M
Producer(s)
Malawi Government National Statistics Office
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 18, 2019
Last modified
Sep 21, 2021
Page views
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  • ag_c_dr2
  • ag_er2
  • ag_filterr2
  • ag_hr2
  • cmty_coverr2
  • cmty_hhfollowupr2
  • cmty_pricesr2
  • hh_ar2
  • hh_b_c_d_er2
  • hh_e_cal_ganyur2
  • hh_e_caldayr2
  • hh_g1r2
  • hh_g2r2
  • hh_g3r2
  • hh_hr2
  • hh_i1r2
  • hh_i2r2
  • hh_jr2
  • hh_lr2
  • hh_mr2
  • hh_q1r2
  • hh_q2r2
  • hh_rr2
  • hh_sa_cal1r2
  • hh_sa_cal2r2
  • hh_sa1r2
  • hh_sa2r2
  • hh_sb_cal1r2
  • hh_sb_cal2r2
  • hh_sb1r2
  • hh_sb2r2
  • hh_ur2
  • hh_yr2

Item name (ck_b)

Data file: cmty_pricesr2

Overview

Valid: 1479
Invalid: 0
Type: Discrete
Start: 12
End: 61
Width: 50
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Aspirin or Panado 29
2%
Axe 29
2%
Banana 29
2%
Bar soap (Maluwa) 29
2%
Battery (dry cell ) for radio 29
2%
Beans 29
2%
Beef 29
2%
Bicycle 29
2%
Cabbage 29
2%
Carlsberg beer (bottle) 29
2%
Charcoal 29
2%
Chemical fertilizer (mkt Value) 29
2%
Chicken (alive) 29
2%
Chitenje cloth 29
2%
Cigarets, Embassy (packet) 29
2%
Clothes , soap (OMO, surf) 29
2%
Cocacola, Fanta (bottle) 29
2%
Cooking oil (Kazinga, Kukoma) 29
2%
Cost to Grind 50kg bag of maize 29
2%
Cost to grind 50kg bag of rice 29
2%
Dried Fish (usipa) 29
2%
Egg 29
2%
Fansidar (3 tablet) 29
2%
Firewood 29
2%
Foam Matress(10 cm, single) 29
2%
Fresh Milk (liquid) 29
2%
Ganyu wage , 1day adult male 29
2%
Hand hoe, without handle 29
2%
Herbicides/ Fungicides(mkt value) 29
2%
Hybrid maize seed (mkt value) 29
2%
Maize flour(gramil, Rab, or locally milled) 29
2%
Maize grain 29
2%
Mosquito net( white not treated with insect sides 29
2%
Motorised transport of crop out(per 50kg per kilo 29
2%
Panga 29
2%
Parafin 29
2%
Pestcides/Insectcides (mk value) 29
2%
Rice 29
2%
Salt 29
2%
Scone /Mandazi 29
2%
Sickle 29
2%
Sugar ,White 29
2%
Tea leaves 29
2%
Tomatoes 29
2%
Tooth brush 29
2%
Toothpaste 50g tube 29
2%
Trousers ( Kaunjika) 29
2%
Vaseline/ glyceline 29
2%
Watch, Digital (simple) 29
2%
chips, potato, (street vendor) 29
2%
white bread loaf (unsliced) 29
2%
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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