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
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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
Primary Variety (primary_variety)
Data file: AG_MOD_G
Overview
Valid:
5316
Invalid:
0
Type:
Discrete
Width:
19
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| AGIRIKO | 1 |
0%
|
|
| AIMASO | 1 |
0%
|
|
| AKAFULA | 3 |
0.1%
|
|
| AKULUWEYA | 1 |
0%
|
|
| AMBUYEANGAFE | 2 |
0%
|
|
| BANTAM | 163 |
3.1%
|
|
| BELLA | 14 |
0.3%
|
|
| BEMBEKE | 2 |
0%
|
|
| BENNET | 1 |
0%
|
|
| BLK4 | 1 |
0%
|
|
| BOMA | 11 |
0.2%
|
|
| BROWNBEANS | 2 |
0%
|
|
| BURLEY MAIZE | 42 |
0.8%
|
|
| BVUMBWE | 1 |
0%
|
|
| CG7 | 2 |
0%
|
|
| CHAMAKOLO | 24 |
0.5%
|
|
| CHIDZEWE/KAMCHIRA | 1 |
0%
|
|
| CHIGOLO | 1 |
0%
|
|
| CHIMBAMBA | 47 |
0.9%
|
|
| CHIMPENI | 1 |
0%
|
|
| CHIMPHONA | 3 |
0.1%
|
|
| CHIMULAMBE | 1 |
0%
|
|
| CHINKHUTI | 3 |
0.1%
|
|
| CHIPHONA | 6 |
0.1%
|
|
| CHIPOLOPOLO | 1 |
0%
|
|
| CHITUTE | 1 |
0%
|
|
| CHIZEWE | 4 |
0.1%
|
|
| CLINTON | 1 |
0%
|
|
| COMPOSITE/OPV | 1 |
0%
|
|
| DAMITA | 1 |
0%
|
|
| DAVVITE | 1 |
0%
|
|
| DECAB | 7 |
0.1%
|
|
| DEMETA | 109 |
2.1%
|
|
| DK | 9 |
0.2%
|
|
| DK-47 | 1 |
0%
|
|
| DK3310 | 1 |
0%
|
|
| DK80-23 | 1 |
0%
|
|
| DK8033 | 8 |
0.2%
|
|
| DK9089 | 1 |
0%
|
|
| DKC43 | 1 |
0%
|
|
| DKC80-83 | 1 |
0%
|
|
| DKC8053 | 2 |
0%
|
|
| DKC8083 | 1 |
0%
|
|
| DKC8980 | 1 |
0%
|
|
| DKC90-89 | 1 |
0%
|
|
| DKC9089 | 1 |
0%
|
|
| DO8033 | 1 |
0%
|
|
| ENON | 1 |
0%
|
|
| FUMBA 8099 | 51 |
1%
|
|
| FUMWE | 6 |
0.1%
|
|
| GAMBIA | 4 |
0.1%
|
|
| GOBOLA | 1 |
0%
|
|
| GOLO | 1 |
0%
|
|
| GOWAMO | 1 |
0%
|
|
| GREEN BURLEY | 4 |
0.1%
|
|
| GWETSANI | 1 |
0%
|
|
| HALOWINI | 1 |
0%
|
|
| HYBRID MAIZE | 59 |
1.1%
|
|
| JAKAMA | 1 |
0%
|
|
| JANDALALA | 1 |
0%
|
|
| JIKAS | 1 |
0%
|
|
| KABAZA | 1 |
0%
|
|
| KACHANSANA | 2 |
0%
|
|
| KACHEKA | 1 |
0%
|
|
| KACHIKUMBA | 4 |
0.1%
|
|
| KACHINGWE | 1 |
0%
|
|
| KACHINSANA | 1 |
0%
|
|
| KACHIRA | 2 |
0%
|
|
| KACHISWE | 1 |
0%
|
|
| KACHIYATA | 8 |
0.2%
|
|
| KADZAMA | 1 |
0%
|
|
| KAELA | 2 |
0%
|
|
| KAFULA | 10 |
0.2%
|
|
| KAGOLO | 60 |
1.1%
|
|
| KAKATA | 1 |
0%
|
|
| KALAMU | 1 |
0%
|
|
| KALIMA | 1 |
0%
|
|
| KALINYOTA | 1 |
0%
|
|
| KALISERE | 2 |
0%
|
|
| KALIYOYO | 3 |
0.1%
|
|
| KAMBILI | 1 |
0%
|
|
| KAMBINA | 2 |
0%
|
|
| KAMBULANGETE | 1 |
0%
|
|
| KAMCHIRA | 44 |
0.8%
|
|
| KAMPEZI | 1 |
0%
|
|
| KAMPHALE | 1 |
0%
|
|
| KAMPOPI1052 | 2 |
0%
|
|
| KAMTAUZGENI | 1 |
0%
|
|
| KAMTEDZA | 1 |
0%
|
|
| KAMTUMANI | 1 |
0%
|
|
| KAMWALE | 1 |
0%
|
|
| KANACHIKHOSI | 1 |
0%
|
|
| KANDIYANI | 2 |
0%
|
|
| KANGO | 3 |
0.1%
|
|
| KANJERENJERE | 98 |
1.8%
|
|
| KANJUTE | 1 |
0%
|
|
| KANOMO | 3 |
0.1%
|
|
| KANTHOCHI | 2 |
0%
|
|
| KANY | 1 |
0%
|
|
| KANYANI | 919 |
17.3%
|
|
| KANYERA | 1 |
0%
|
|
| KANYULUKUTA | 1 |
0%
|
|
| KANYUNGWI | 2 |
0%
|
|
| KANZAMA | 1 |
0%
|
|
| KAPESI | 1 |
0%
|
|
| KAPIKO | 1 |
0%
|
|
| KASAWAYA | 4 |
0.1%
|
|
| KATHOCHI | 1 |
0%
|
|
| KATHOPE | 5 |
0.1%
|
|
| KATUMANI | 1 |
0%
|
|
| KATUMENI | 2 |
0%
|
|
| KAUDZU | 1 |
0%
|
|
| KAULESI | 3 |
0.1%
|
|
| KAUNJIKA | 2 |
0%
|
|
| KAUTSI | 1 |
0%
|
|
| KAYERA | 23 |
0.4%
|
|
| KAZAMA | 2 |
0%
|
|
| KENYA | 7 |
0.1%
|
|
| KNYANI | 1 |
0%
|
|
| KWNYANI | 1 |
0%
|
|
| L | 1 |
0%
|
|
| LALITALI | 1 |
0%
|
|
| LILONGWE | 4 |
0.1%
|
|
| LIMANI | 2 |
0%
|
|
| LION | 1 |
0%
|
|
| LIZULU | 4 |
0.1%
|
|
| LOCAL MAIZE | 2276 |
42.8%
|
|
| M52 | 1 |
0%
|
|
| MADUBA | 1 |
0%
|
|
| MAGAZI | 6 |
0.1%
|
|
| MAGOYA | 1 |
0%
|
|
| MAKAOLO | 1 |
0%
|
|
| MAKOLO | 148 |
2.8%
|
|
| MALIMBA | 1 |
0%
|
|
| MALUWA | 1 |
0%
|
|
| MAMOSI | 18 |
0.3%
|
|
| MANGAMANGA | 1 |
0%
|
|
| MANUEL | 1 |
0%
|
|
| MAPASA | 98 |
1.8%
|
|
| MAPILAOYELA | 1 |
0%
|
|
| MASIKA | 7 |
0.1%
|
|
| MASIPEMBEE | 1 |
0%
|
|
| MASIPENJELE | 3 |
0.1%
|
|
| MBIDZI | 28 |
0.5%
|
|
| MBIZ | 3 |
0.1%
|
|
| MBWELEKETE | 1 |
0%
|
|
| MBWEMBWEMBWE | 2 |
0%
|
|
| MGWADEYU | 1 |
0%
|
|
| MH14 | 1 |
0%
|
|
| MH18 | 16 |
0.3%
|
|
| MH21 | 1 |
0%
|
|
| MH26 | 1 |
0%
|
|
| MH33 | 2 |
0%
|
|
| MH41 | 8 |
0.2%
|
|
| MIX | 1 |
0%
|
|
| MIXEDVARIETY | 1 |
0%
|
|
| MKANACHIRA | 1 |
0%
|
|
| MKANGALA | 46 |
0.9%
|
|
| MKANGO | 188 |
3.5%
|
|
| MKAPOPI | 1 |
0%
|
|
| MKONDEZI | 1 |
0%
|
|
| MKONOLAMULESI | 1 |
0%
|
|
| MLASA | 1 |
0%
|
|
| MLENGA | 1 |
0%
|
|
| MOFFAT | 1 |
0%
|
|
| MOKOLO | 1 |
0%
|
|
| MOSANTO | 3 |
0.1%
|
|
| MPASA | 1 |
0%
|
|
| MPHALOMBE | 1 |
0%
|
|
| MS41 | 3 |
0.1%
|
|
| MSEULA | 1 |
0%
|
|
| MTEDZAOFILA | 2 |
0%
|
|
| MTHAWAJUNI | 1 |
0%
|
|
| MTUWA | 1 |
0%
|
|
| MUSANDIONEKUDA | 1 |
0%
|
|
| MWAGISIRA | 2 |
0%
|
|
| MWALIWA | 4 |
0.1%
|
|
| MWASIPENGIREVARIETY | 1 |
0%
|
|
| MWASPENJERE | 1 |
0%
|
|
| MZ632 | 1 |
0%
|
|
| N/A | 178 |
3.3%
|
|
| NAKACHISWE | 1 |
0%
|
|
| NAKAGOLO | 2 |
0%
|
|
| NAMAGWETSA | 1 |
0%
|
|
| NAMALAGA | 1 |
0%
|
|
| NAMALUNGA | 50 |
0.9%
|
|
| NAMUDZU | 1 |
0%
|
|
| NANDOLA | 1 |
0%
|
|
| NANKULU | 1 |
0%
|
|
| NANYATI | 75 |
1.4%
|
|
| NAPILIRA | 2 |
0%
|
|
| NAZILOMBE | 1 |
0%
|
|
| NJERENJEZA | 1 |
0%
|
|
| NJOVU | 58 |
1.1%
|
|
| NKANGALA | 15 |
0.3%
|
|
| NKANGARA | 1 |
0%
|
|
| NKHALATSONGA | 27 |
0.5%
|
|
| NKHUNTHULA | 2 |
0%
|
|
| NONE | 2 |
0%
|
|
| NS627 | 1 |
0%
|
|
| NSANGALABWI | 3 |
0.1%
|
|
| NSEULA | 1 |
0%
|
|
| NTHAWAJUNE | 2 |
0%
|
|
| NTHIKINYA | 5 |
0.1%
|
|
| NYADANAWO | 8 |
0.2%
|
|
| NYAMTELEMU | 1 |
0%
|
|
| NYAPIRILA | 2 |
0%
|
|
| NYATHOLE | 1 |
0%
|
|
| NYEMBAZOFIIRA | 1 |
0%
|
|
| NZAZANKHOKWE | 1 |
0%
|
|
| OFILA | 3 |
0.1%
|
|
| OPVDEMETER | 1 |
0%
|
|
| PAINER | 1 |
0%
|
|
| PAN42 | 1 |
0%
|
|
| PANA53 | 1 |
0%
|
|
| PANMZ4 | 1 |
0%
|
|
| PANNAR | 1 |
0%
|
|
| PANTHOCHI | 1 |
0%
|
|
| PHALOMBE | 12 |
0.2%
|
|
| PHAZI | 1 |
0%
|
|
| PHIKOLAMBALAME | 1 |
0%
|
|
| PIONEER | 2 |
0%
|
|
| PK41 | 1 |
0%
|
|
| PUMBA | 1 |
0%
|
|
| QUINTON | 1 |
0%
|
|
| REDCOLOUREDBEANS | 1 |
0%
|
|
| SABA | 2 |
0%
|
|
| SAGENTA | 1 |
0%
|
|
| SASAKAWA | 2 |
0%
|
|
| SC309 | 1 |
0%
|
|
| SC403 | 1 |
0%
|
|
| SC537 | 2 |
0%
|
|
| SC627 | 1 |
0%
|
|
| SEBA | 1 |
0%
|
|
| SELENJE | 3 |
0.1%
|
|
| SENODI | 1 |
0%
|
|
| SHUMBA | 1 |
0%
|
|
| SIDONI | 3 |
0.1%
|
|
| SMALLSOYABEANS | 1 |
0%
|
|
| SOYA | 1 |
0%
|
|
| SUGARBEANS | 8 |
0.2%
|
|
| SUNDWE | 1 |
0%
|
|
| SWEETBEANS | 2 |
0%
|
|
| TCHAILOSI | 3 |
0.1%
|
|
| THANGALA | 1 |
0%
|
|
| TOBACCOBURLEY | 1 |
0%
|
|
| UYOLE | 1 |
0%
|
|
| VILLA | 1 |
0%
|
|
| VIOLET | 1 |
0%
|
|
| WHITE | 3 |
0.1%
|
|
| WHITEBEANS | 1 |
0%
|
|
| WHITEBURLEY | 1 |
0%
|
|
| WHITESORGHUM | 2 |
0%
|
|
| WOYOLE | 2 |
0%
|
|
| YELLOW | 1 |
0%
|
|
| ZEBRA | 1 |
0%
|
|
| ZIMBABWE | 1 |
0%
|
|
| ZITUBA | 1 |
0%
|
|
| ZOFIRA | 3 |
0.1%
|
|
| ZOMBA | 1 |
0%
|
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.