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
From which country did [NAME] move from? (hh_b15b)
Data file: HH_MOD_B
Overview
Valid:
392
Invalid:
53493
Type:
Discrete
Decimal:
0
Start:
197
End:
199
Width:
3
Range:
501 - 517
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 501 | Angola | 0 |
0%
|
| 502 | Australia | 0 |
0%
|
| 503 | Botswana | 4 |
1%
|
| 504 | Canada | 0 |
0%
|
| 505 | China | 4 |
1%
|
| 506 | Lesotho | 0 |
0%
|
| 507 | Mozambique | 112 |
28.6%
|
| 508 | Namibia | 2 |
0.5%
|
| 509 | New Zealand | 0 |
0%
|
| 510 | South Africa | 37 |
9.4%
|
| 511 | Swaziland | 1 |
0.3%
|
| 512 | Tanzania | 35 |
8.9%
|
| 513 | United | 8 |
2%
|
| 514 | United States of America(USA) | 4 |
1%
|
| 515 | Zambia | 120 |
30.6%
|
| 516 | Zimbabwe | 39 |
9.9%
|
| 517 | Other Country(Specify) | 26 |
6.6%
|
| Sysmiss | 53493 |
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.