Sixth Integrated Household Survey 2024-2025
Malawi, 2024 - 2025
Get Microdata
Reference ID
MWI_2024-2025_IHS-VI_v01_M
Producer(s)
National Statistical Office (NSO)
Collection(s)
Created on
Jul 14, 2026
Last modified
Jul 21, 2026
Page views
37445
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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
Why were there losses before the harvest? (2ND CAUSE) (ag_p08b)
Data file: ag_mod_p
Overview
Valid:
0
Invalid:
8614
Type:
Discrete
Width:
39
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Drought | 0 | |
| 3 | Effects of Fire | 0 | |
| 4 | Effects of Insects | 0 | |
| 5 | Effects of Animals | 0 | |
| 6 | Effects of Crop theft | 0 | |
| 7 | Effects of Diseases | 0 | |
| 9 | Effects of Lack of hired labor | 0 | |
| 10 | Other (Specify) | 0 | |
| 11 | Effects of Irregular Rains | 0 | |
| 12 | Effects of Flooding | 0 | |
| 13 | Effects of Let Onset of Rains | 0 | |
| 14 | Effects of Early Onset of Rains | 0 | |
| 15 | Effects of Too Heavy Rains / Hailstorms | 0 | |
| 16 | Effects of Extremely Strong Winds | 0 | |
| 17 | Effects of Cyclones | 0 | |
| 18 | Effects of very high Temperature | 0 | |
| Sysmiss | 8614 |
100%
|
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.