Fourth Integrated Household Survey 2016-2017
Malawi, 2016 - 2017
Get Microdata
Reference ID
MWI_2016-2017_IHS-W4_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office (NSO)
Collections
Metadata
Created on
Sep 15, 2020
Last modified
Nov 08, 2022
Page views
41337
Downloads
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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_D
- AG_MOD_E1
- AG_MOD_E2
- AG_MOD_E3
- AG_MOD_E4
- AG_MOD_F
- AG_MOD_G
- AG_MOD_H
- AG_MOD_I
- AG_MOD_I1
- AG_MOD_I2
- AG_MOD_J
- AG_MOD_K
- AG_MOD_L
- AG_MOD_M
- 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
In how many months over the last 12 months, did [NAME] do ganyu labour (hh_e56)
Data file: HH_MOD_E
Overview
Valid:
13168
Invalid:
40717
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 12
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1265 |
2.3%
|
|
| 2 | 1581 |
2.9%
|
|
| 3 | 2105 |
3.9%
|
|
| 4 | 1806 |
3.4%
|
|
| 5 | 1382 |
2.6%
|
|
| 6 | 1272 |
2.4%
|
|
| 7 | 499 |
0.9%
|
|
| 8 | 748 |
1.4%
|
|
| 9 | 338 |
0.6%
|
|
| 10 | 381 |
0.7%
|
|
| 11 | 194 |
0.4%
|
|
| 12 | 1597 |
3%
|
|
| Sysmiss | 40717 |
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.