Fourth Integrated Household Survey 2016-2017
Malawi, 2016 - 2017
Get MicrodataCreated on
Mar 18, 2021
Last modified
Mar 18, 2021
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- 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
List up to 5 crops in order that you worked on during last 7 days (2) (hh_e07_1_2)
Data file: HH_MOD_E
Overview
Valid:
4815
Invalid:
49070
Type:
Discrete
Decimal:
0
Start:
70
End:
72
Width:
3
Range:
1 - 121
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | MAIZE | 165 |
3.4%
|
| 5 | TOBACCO | 203 |
4.2%
|
| 12 | GROUNDNUT | 695 |
14.4%
|
| 17 | RICE | 176 |
3.7%
|
| 27 | GROUND BEAN(NZAMA) | 7 |
0.1%
|
| 28 | SWEET POTATO | 174 |
3.6%
|
| 29 | IRISH [MALAWI] POTATO | 27 |
0.6%
|
| 30 | WHEAT | 2 |
0%
|
| 31 | FINGER MILLET(MAWERE) | 32 |
0.7%
|
| 32 | SORGHUM | 216 |
4.5%
|
| 33 | PEARL MILLET(MCHEWERE) | 40 |
0.8%
|
| 34 | BEANS | 474 |
9.8%
|
| 35 | SOYABEAN | 468 |
9.7%
|
| 36 | PIGEONPEA(NANDOLO) | 932 |
19.4%
|
| 37 | COTTON | 82 |
1.7%
|
| 38 | SUNFLOWER | 46 |
1%
|
| 39 | SUGAR CANE | 9 |
0.2%
|
| 40 | CABBAGE | 3 |
0.1%
|
| 41 | TANAPOSI | 45 |
0.9%
|
| 42 | NKHWANI | 565 |
11.7%
|
| 43 | THERERE/OKRA | 4 |
0.1%
|
| 44 | TOMATO | 94 |
2%
|
| 45 | ONION | 14 |
0.3%
|
| 46 | PEAS | 58 |
1.2%
|
| 47 | PAPRIKA | 3 |
0.1%
|
| 48 | OTHER (SPECIFY) | 75 |
1.6%
|
| 101 | CASSAVA | 201 |
4.2%
|
| 102 | TEA | 0 |
0%
|
| 103 | COFFEE | 2 |
0%
|
| 104 | MANGO | 0 |
0%
|
| 105 | ORANGE | 0 |
0%
|
| 106 | PAWPAW/PAPAYA | 0 |
0%
|
| 107 | BANANA | 3 |
0.1%
|
| 108 | AVOCADO | 0 |
0%
|
| 109 | GUAVA | 0 |
0%
|
| 110 | LEMON | 0 |
0%
|
| 111 | NAARTJE (TANGERINE) | 0 |
0%
|
| 112 | PEACH | 0 |
0%
|
| 113 | [CUSTADE APPLE] POZA | 0 |
0%
|
| 114 | MEXICAN APPLE [MASUKU] | 0 |
0%
|
| 115 | MASAU | 0 |
0%
|
| 116 | PINEAPPLE | 0 |
0%
|
| 117 | MACADAMIA | 0 |
0%
|
| 118 | FODDER TREES | 0 |
0%
|
| 119 | FERTILISER TREES | 0 |
0%
|
| 120 | FUEL WOOD TREES | 0 |
0%
|
| 121 | OTHER (SPECIFY) | 0 |
0%
|
| Sysmiss | 49070 |
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.