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
Terrain Roughness (srtm_mwi_5_15)
Data file: HouseholdGeovariablesIHS4
Overview
Valid:
12444
Invalid:
3
Type:
Discrete
Decimal:
0
Start:
122
End:
123
Width:
2
Range:
1 - 15
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Plains | 548 |
4.4%
|
| 2 | Mid-altitude Plains | 1066 |
8.6%
|
| 3 | High-altitude Plains | 4017 |
32.3%
|
| 4 | Lowlands | 92 |
0.7%
|
| 5 | Rugged Lowlands | 5 |
0%
|
| 6 | Platform(very low plateaus) | 324 |
2.6%
|
| 7 | Low Plateaus | 2440 |
19.6%
|
| 8 | Mid-altitude Plateaus | 2854 |
22.9%
|
| 9 | High Plateaus | 0 |
0%
|
| 10 | Very high plateaus | 0 |
0%
|
| 11 | Hills | 31 |
0.2%
|
| 12 | Low Mountains | 537 |
4.3%
|
| 13 | Mid-altitude Mountains | 530 |
4.3%
|
| 14 | High Mountains | 0 |
0%
|
| 15 | Very High Mountains | 0 |
0%
|
| Sysmiss | 3 |
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.