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    Home / Central Data Catalog / LSMS / MWI_2024-2025_IHS-VI_V01_M / variable [F21]
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 14, 2026
Page views
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  • Study Description
  • Data 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

Why was this [ENTERPRISE] not in operation on the period as in 25a? (1) (hh_n26a)

Data file: hh_mod_n2

Overview

Valid: 5115
Invalid: 2148
Minimum: 1
Maximum: 8
Mean: 4.5149560117302
Standard deviation: 2.0583778590099
Type: Discrete
Width: 46
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Lack of non-labour inputs 270
3.7%
2 Lack of credit 226
3.1%
3 Lack of cash 1688
23.2%
4 Seasonal work 951
13.1%
5 Bad weather 203
2.8%
6 Not profitable 728
10%
7 Own-Illness/Need to care for household members 271
3.7%
8 Other (Specify) 778
10.7%
Sysmiss 2148
29.6%
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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