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    Home / Central Data Catalog / LSMS / MWI_2010_IHS-III_V01_M / variable [F81]
lsms

Third Integrated Household Survey 2010-2011

Malawi, 2010 - 2011
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Reference ID
MWI_2010_IHS-III_v01_M
DOI
https://doi.org/10.48529/w1jq-qh85
Producer(s)
National Statistical Office (NSO)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 01, 2012
Last modified
Jan 30, 2020
Page views
865437
Downloads
124245
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • HH_MOD_A_FILT
  • HH_MOD_B
  • HH_MOD_C
  • HH_MOD_D
  • HH_MOD_E
  • HH_MOD_F
  • HH_MOD_G1
  • HH_MOD_G2
  • HH_MOD_G3
  • HH_MOD_H
  • HH_MOD_I1
  • HH_MOD_I2
  • HH_MOD_J
  • HH_MOD_K
  • HH_MOD_L
  • HH_MOD_M
  • HH_MOD_N1
  • HH_MOD_N2
  • HH_MOD_O
  • HH_MOD_P
  • HH_MOD_Q
  • HH_MOD_R
  • HH_MOD_S1
  • HH_MOD_S2
  • HH_MOD_T
  • HH_MOD_U
  • HH_MOD_V
  • HH_MOD_W
  • HH_MOD_X
  • AG_MOD_A_FILT
  • AG_MOD_B
  • AG_MOD_C
  • AG_MOD_D
  • AG_MOD_E
  • AG_MOD_F
  • AG_MOD_G
  • AG_MOD_H
  • AG_MOD_I
  • AG_MOD_J
  • AG_MOD_K
  • AG_MOD_L
  • AG_MOD_M
  • AG_MOD_N
  • AG_MOD_O
  • AG_MOD_P
  • AG_MOD_Q
  • AG_MOD_R1
  • AG_MOD_R2
  • AG_MOD_S
  • AG_MOD_T1
  • AG_MOD_T2
  • AG_NETWORK
  • FS_MOD_B_FILT
  • FS_MOD_C
  • FS_MOD_D1
  • FS_MOD_D2
  • FS_MOD_D3
  • FS_MOD_E1
  • FS_MOD_E2
  • FS_MOD_F1
  • FS_MOD_F2
  • FS_MOD_G
  • FS_MOD_H1
  • FS_MOD_H2
  • FS_MOD_H3
  • FS_MOD_I1
  • FS_MOD_I2
  • FS_MOD_J1
  • FS_MOD_J2
  • COM_CA
  • COM_CB
  • COM_CC
  • COM_CD
  • COM_CE
  • COM_CF
  • COM_CG1
  • COM_CG2
  • COM_CH
  • COM_CI
  • COM_CJ
  • COM_CK
  • HouseholdGeovariables
  • PlotGeovariables
  • Round 1 (2010)
    Consumption
    Aggregate
  • ihs3fc2M_consumption

ITEM (com_ck00a)

Data file: COM_CK

Overview

Valid: 39168
Invalid: 0
Type: Discrete
Decimal: 0
Start: 9
End: 10
Width: 2
Range: 1 - 51
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Maize grain 768
2%
2 Maize flour (Gramil, Rab, or locally milled) 768
2%
3 Cost to grind 50 kg bag of maize 768
2%
4 Cost to grind 50 kg bag of rice 768
2%
5 Rice 768
2%
6 White bread loaf (unsliced) 768
2%
7 Scone / Mandazi 768
2%
8 Beans 768
2%
9 Cabbage 768
2%
10 Tomatoes 768
2%
11 Banana 768
2%
12 Fresh milk (liquid) 768
2%
13 Egg 768
2%
14 Chicken (live) 768
2%
15 Dried fish (usipa) 768
2%
16 Beef 768
2%
17 Tea leaves 768
2%
18 Salt 768
2%
19 Sugar, white 768
2%
20 Cooking oil (Kazinga, Kukoma) 768
2%
21 Chips, potato (street vendor) 768
2%
22 Bar soap (Maluwa) 768
2%
23 Toothbrush 768
2%
24 Toothpaste (50 g tube) 768
2%
25 Clothes soap (Omo, Surf) 768
2%
26 Vaseline/glycerin 768
2%
27 Aspirin or Panadol 768
2%
28 Fansidar (3 tablet packet) 768
2%
29 Chitenje cloth 768
2%
30 Trousers (kaunjika) 768
2%
31 Coca-Cola, Fanta (bottle) 768
2%
32 Carlsberg beer (bottle) 768
2%
33 Cigarettes, Embassy (packet) 768
2%
34 Battery (dry cell) for radio 768
2%
35 Watch, digital (simple), plastic 768
2%
36 Firewood 768
2%
37 Charcoal 768
2%
38 Paraffin 768
2%
39 Chemical fertilizer (mkt value) 768
2%
40 Pesticides/Insecticides (mkt value) 768
2%
41 Herbicides/Fungicides (mkt value) 768
2%
42 Motorized transport of crop output (per 50kg) 768
2%
43 Hybrid maize seed (mkt value) 768
2%
44 Hand hoe, without handle 768
2%
45 Panga 768
2%
46 Sickle 768
2%
47 Axe 768
2%
48 Bicycle 768
2%
49 Foam mattress (10 cm, single) 768
2%
50 Mosquito net (white, not treated) 768
2%
51 Ganyu wage, 1 day, adult male 768
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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