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    Home / Central Data Catalog / MWI_2013_MRLS-R4_V01_M / variable [F48]
central

Rural Livelihood Survey 2012-2013, Round 4

Malawi, 2013
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Reference ID
MWI_2013_MRLS-R4_v01_M
Producer(s)
National Statistical Office (NSO)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 12, 2019
Last modified
Mar 12, 2019
Page views
98064
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  • hh_aR4
  • hh_b_c_d_eR4
  • hh_e_cal_ganyuR4
  • hh_e_caldayR4
  • hh_g1R4
  • hh_g2R4
  • hh_g3R4
  • hh_hR4
  • hh_i1R4
  • hh_i2R4
  • hh_jR4
  • hh_k2R4
  • hh_kR4
  • hh_lR4
  • hh_mR4
  • hh_q1R4
  • hh_q2R4
  • hh_rR4
  • hh_sa_cal1R4
  • hh_sa_cal2R4
  • hh_sa1R4
  • hh_sa2R4
  • hh_sb_cal1R4
  • hh_sb_cal2R4
  • hh_sb1R4
  • hh_sb2R4
  • hh_uR4
  • hh_x1R4
  • hh_x2R4
  • hh_yR4
  • ag_1_2013_14R4
  • ag_2_2013_14R4
  • ag_3_2013_14R4
  • ag_lR4
  • ag_mR4
  • cmty_coverR4
  • cmty_pricesR4

Item Code (hh_i05)

Data file: hh_i2R4

Overview

Valid: 8851
Invalid: 0
Type: Discrete
Decimal: 0
Start: 48
End: 50
Width: 3
Range: 201 - 221
Format: Numeric

Questions and instructions

Categories
Value Category Cases
201 Milling fees, grain 1889
21.3%
202 Bar soap (body soap or clothes soap) 1850
20.9%
203 Clothes soap (powder) 610
6.9%
204 Toothpaste, toothbrush 298
3.4%
205 Toilet paper 59
0.7%
206 Glycerine, Vaseline, skin creams 1336
15.1%
207 Other personal products (shampoo, razor blades, cosmetics, hair products, etc.) 363
4.1%
209 Light bulbs 38
0.4%
210 Postage stamps or other postal fees 18
0.2%
211 Donation - to church, charity, beggar, etc. 750
8.5%
212 Petrol or diesel 19
0.2%
213 Motor vehicle service, repair, or parts 13
0.1%
214 Bicycle service, repair, or parts 252
2.8%
215 Wages paid to servants 49
0.6%
216 Mortgage - regular payment to purchase house 2
0%
217 Repairs & maintenance to dwelling 39
0.4%
218 Repairs to household and personal items (radios, watches, etc., excluding battery purchases) 17
0.2%
219 Expenditures on pets 13
0.1%
220 Batteries 835
9.4%
221 Recharging batteries, cell phones 401
4.5%
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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