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    Home / Central Data Catalog / LSMS / MWI_2024-2025_IHS-VI_V01_M / variable [F11]
lsms

Sixth Integrated Household Survey 2024-2025

Malawi, 2024 - 2025
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Reference ID
MWI_2024-2025_IHS-VI_v01_M
Producer(s)
National Statistical Office (NSO)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
DDI/XML JSON
Created on
Jul 14, 2026
Last modified
Jul 21, 2026
Page views
66329
Downloads
1490
  • Study Description
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  • Data files
  • hh_mod_a_filt
  • hh_mod_b
  • hh_mod_c
  • hh_mod_d
  • hh_mod_e
  • hh_mod_f
  • hh_mod_f1
  • 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_meta
  • 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
  • hh_mod_y
  • hh_mod_zb
  • ag_mod_a
  • ag_mod_b2
  • ag_mod_c
  • ag_mod_d
  • ag_mod_e1
  • ag_mod_e2
  • ag_mod_f
  • ag_mod_g
  • ag_mod_h
  • ag_mod_i
  • ag_mod_i_1
  • ag_mod_i2
  • ag_mod_j
  • ag_mod_k
  • ag_mod_l
  • ag_mod_m
  • ag_mod_meta
  • ag_mod_n
  • ag_mod_o
  • ag_mod_o_1
  • ag_mod_o2
  • ag_mod_p
  • ag_mod_q
  • ag_mod_q_1
  • ag_mod_r1
  • ag_mod_r2
  • ag_mod_s
  • ag_mod_t1
  • ag_mod_t2
  • fs_mod_b
  • fs_mod_c
  • fs_mod_d
  • com_meta
  • com_ca
  • com_cb
  • com_cc
  • com_cd
  • com_ce
  • com_cf1
  • com_cf2
  • com_cg
  • com_ch
  • com_ci
  • com_cj
  • com_ck
  • ihs6_caloric_conversionfactor
  • ihs6_consumptionaggregates

What was the cause of the situation? (Reason 3) (hh_h06c)

Data file: hh_mod_h

Overview

Valid: 1391
Invalid: 11497
Minimum: 1
Maximum: 10
Type: Discrete
Width: 60
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Inadequate household stocks due to drought/poor rains 124
1%
2 Inadequate household food stocks due to crop pest damage 66
0.5%
3 Inadequate household food stocks due to small land size 137
1.1%
4 Inadequate household food stocks due to lack of farm inputs 251
1.9%
5 Food in the market was very expensive 682
5.3%
6 Unable to reach the market due to high transportation costs 8
0.1%
7 No food in the market 29
0.2%
8 Floods/water logging 34
0.3%
9 Other 21
0.2%
10 Lack of Money 39
0.3%
Sysmiss 11497
89.2%
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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