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
138426
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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
IHS4 2016 District Location (district)
Data file: HH_MOD_A_FILT
Overview
Valid:
12447
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
54
End:
56
Width:
3
Range:
101 - 315
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chitipa | 384 |
3.1%
|
| 102 | Karonga | 384 |
3.1%
|
| 103 | Nkhatabay | 383 |
3.1%
|
| 104 | Rumphi | 384 |
3.1%
|
| 105 | Mzimba | 380 |
3.1%
|
| 106 | Likoma | 192 |
1.5%
|
| 107 | Mzuzu City | 384 |
3.1%
|
| 201 | Kasungu | 384 |
3.1%
|
| 202 | Nkhotakota | 383 |
3.1%
|
| 203 | Ntchisi | 383 |
3.1%
|
| 204 | Dowa | 384 |
3.1%
|
| 205 | Salima | 384 |
3.1%
|
| 206 | Lilongwe | 575 |
4.6%
|
| 207 | Mchinji | 384 |
3.1%
|
| 208 | Dedza | 384 |
3.1%
|
| 209 | Ntcheu | 383 |
3.1%
|
| 210 | Lilongwe City | 576 |
4.6%
|
| 301 | Mangochi | 383 |
3.1%
|
| 302 | Machinga | 384 |
3.1%
|
| 303 | Zomba Non-City | 384 |
3.1%
|
| 304 | Chiradzulu | 383 |
3.1%
|
| 305 | Blantyre | 380 |
3.1%
|
| 306 | Mwanza | 380 |
3.1%
|
| 307 | Thyolo | 380 |
3.1%
|
| 308 | Mulanje | 384 |
3.1%
|
| 309 | Phalombe | 382 |
3.1%
|
| 310 | Chikwawa | 384 |
3.1%
|
| 311 | Nsanje | 384 |
3.1%
|
| 312 | Balaka | 384 |
3.1%
|
| 313 | Neno | 376 |
3%
|
| 314 | Zomba City | 384 |
3.1%
|
| 315 | Blantyre City | 384 |
3.1%
|
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.