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    Home / Central Data Catalog / LSMS / MWI_2016_IHS-IV_V04_M / variable [F11]
lsms

Fourth Integrated Household Survey 2016-2017

Malawi, 2016 - 2017
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Reference ID
MWI_2016_IHS-IV_v04_M
DOI
https://doi.org/10.48529/g2p9-9r19
Producer(s)
National Statistical Office (NSO)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 29, 2017
Last modified
Jun 16, 2021
Page views
691715
Downloads
384283
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • HH_METADATA
  • 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_K1
  • HH_MOD_K2
  • 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_METADATA
  • AG_MOD_A
  • AG_MOD_B1
  • AG_MOD_B2
  • AG_MOD_C
  • AG_MOD_E1
  • AG_MOD_E2
  • AG_MOD_E4
  • AG_MOD_F
  • AG_MOD_G
  • AG_MOD_H
  • AG_MOD_I
  • AG_MOD_I1
  • AG_MOD_I2
  • AG_MOD_L
  • AG_MOD_N
  • AG_MOD_NR
  • AG_MOD_O
  • AG_MOD_O1
  • AG_MOD_O2
  • AG_MOD_P
  • AG_MOD_Q
  • AG_MOD_R1
  • AG_MOD_R2
  • AG_MOD_S
  • AG_MOD_T1
  • AG_MOD_T2
  • AG_MOD_U
  • AG_MOD_V
  • PlotGeovariablesIHS4
  • FS_METADATA
  • FS_MOD_A
  • FS_MOD_B
  • 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_CF1
  • COM_CF2
  • COM_CG
  • COM_CI
  • COM_CJ
  • COM_META
  • HouseholdGeovariablesIHS4
  • IHS4
    Consumption
    Aggregate
  • com_ch
  • AG_MOD_D
  • AG_MOD_J
  • AG_MOD_K
  • AG_MOD_M
  • ag_mod_e3

What was the cause of this situation? (Reason 2) (hh_h06b)

Data file: HH_MOD_H

Overview

Valid: 4982
Invalid: 7465
Type: Discrete
Decimal: 0
Start: 81
End: 81
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Inadequate household stocks due to drought/ poor rains 717
14.4%
2 Inadequate household food stocks due to crop pest damage 84
1.7%
3 Inadequate household food stocks due to small land size 593
11.9%
4 Inadequate household food stocks due to lack of farm inputs 1460
29.3%
5 Food in the market was very expensive 1712
34.4%
6 Unable to reach the market due to high transportation costs 22
0.4%
7 No food in the market 131
2.6%
8 Floods/water logging 64
1.3%
9 Other (Specify) 199
4%
Sysmiss 7465
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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