Fourth Integrated Household Survey 2016-2017
Malawi, 2016 - 2017
Get Microdata
Reference ID
MWI_2016_IHS-IV_v04_M
Producer(s)
National Statistical Office (NSO)
Collection(s)
Metadata
Created on
Nov 29, 2017
Last modified
Jun 16, 2021
Page views
544381
Downloads
372407
- 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 was the reason for the government takeover? (com_ci012)
Data file: COM_CI
Overview
Valid:
12
Invalid:
3763
Type:
Discrete
Decimal:
0
Start:
624
End:
624
Width:
1
Range:
1 - 6
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | INITIATE AGRICULTURAL SCHEME | 4 |
33.3%
|
| 2 | CONSTRUCT PUBLIC FACILITIES | 0 |
0%
|
| 3 | CONVERT INTO FOREST RESERVE | 7 |
58.3%
|
| 4 | CONVERT INTO NATIONAL PARK LAND | 0 |
0%
|
| 5 | CONVERT INTO WILDLIFE PARK LAND | 1 |
8.3%
|
| 6 | OTHER (SPECIFY) | 0 |
0%
|
| Sysmiss | 3763 |
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.