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
What is the primary variety of %ag_p00% being cultivated on this [PLOT]? (ag_p05_1)
Data file: AG_MOD_P
Overview
Valid:
2847
Invalid:
1404
Type:
Discrete
Decimal:
0
Start:
201
End:
203
Width:
3
Range:
901 - 940
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 901 | KAWALIKA | 301 |
10.6%
|
| 902 | ABITI MDALA | 110 |
3.9%
|
| 903 | THEPULA | 61 |
2.1%
|
| 904 | MPAPA | 83 |
2.9%
|
| 905 | NYAUKANDAWIRE | 86 |
3%
|
| 906 | 20:20 | 143 |
5%
|
| 907 | LWINGA | 44 |
1.5%
|
| 908 | DZALAMAYENJE | 85 |
3%
|
| 909 | MATAKOLEMBWENDE | 38 |
1.3%
|
| 910 | SIMAMA | 31 |
1.1%
|
| 911 | GOMANI MFIPA | 208 |
7.3%
|
| 912 | MANYIMANYI | 28 |
1%
|
| 913 | BITILISI | 303 |
10.6%
|
| 914 | KWASAKWASA | 37 |
1.3%
|
| 915 | BUSUMAN | 40 |
1.4%
|
| 916 | MBAWALA | 5 |
0.2%
|
| 917 | MTUTUMUSI | 7 |
0.2%
|
| 918 | NYAJOGWA | 0 |
0%
|
| 919 | MASOGHAZUNGU | 77 |
2.7%
|
| 920 | CHISU | 0 |
0%
|
| 921 | MANYOKOLA / MBUNDUMALI / MWAYA | 61 |
2.1%
|
| 922 | MASANGWI | 10 |
0.4%
|
| 923 | KACHAMBA | 11 |
0.4%
|
| 924 | CHITHEKERE | 13 |
0.5%
|
| 925 | BUKHUNI | 0 |
0%
|
| 926 | ANDILAWA | 0 |
0%
|
| 927 | MOFOLO | 0 |
0%
|
| 928 | MATUVI | 2 |
0.1%
|
| 929 | MWATATU | 2 |
0.1%
|
| 930 | GUGUZA | 3 |
0.1%
|
| 931 | YIZASO | 4 |
0.1%
|
| 932 | MULOLA | 2 |
0.1%
|
| 933 | KALAWE | 1 |
0%
|
| 934 | SAUTI | 58 |
2%
|
| 935 | PHOSO | 3 |
0.1%
|
| 936 | CHIOMBOLA | 12 |
0.4%
|
| 937 | MAUJILI | 0 |
0%
|
| 938 | CHAMANDANDA | 1 |
0%
|
| 939 | MPALE | 1 |
0%
|
| 940 | 976 |
34.3%
|
|
| Sysmiss | 1404 |
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.