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Integrated Household Panel Survey 2010-2013-2016 (Long-Term Panel, 102 EAs)

Malawi, 2010 - 2016
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Reference ID
MWI_2010-2016_IHPS_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office
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Agricultural Surveys
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Created on
Sep 23, 2020
Last modified
Nov 08, 2022
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TA Name (hh_a10b)

Data file: hh_mod_a_filt_13

Overview

Valid: 1959
Invalid: 0
Type: Discrete
Start: 99
End: 123
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AREA 1
0.1%
AREA 14 1
0.1%
AREA 18 A 1
0.1%
AREA 18A 5
0.3%
AREA 21 2
0.1%
AREA 22 CHIPASULA 1
0.1%
AREA 23 2
0.1%
AREA 24 2
0.1%
AREA 25 3
0.2%
AREA 25 B 2
0.1%
AREA 25 C 1
0.1%
AREA 25A 2
0.1%
AREA 25B 4
0.2%
AREA 25C 3
0.2%
AREA 25C MSUNGWI SECTOR 8 1
0.1%
AREA 25C SECTOR 2 1
0.1%
AREA 25C/SECTOR 2 1
0.1%
AREA 3 1
0.1%
AREA 36 7
0.4%
AREA 36/ KAONDO 1
0.1%
AREA 47 1
0.1%
AREA 49 2
0.1%
AREA 49 DUBAI 1
0.1%
AREA 49 GULLIVER 1
0.1%
AREA 49/SHIRE LINES 1
0.1%
AREA 50 8
0.4%
AREA 50/CHIMOKA 1
0.1%
AREA 7 7
0.4%
AREA7, KAWALE 1
0.1%
BALAKA 1
0.1%
BANGWE 2
0.1%
BANGWE WARD 9
0.5%
BLANTYRE CITY 1
0.1%
BVUMBWE 3
0.2%
BWANA NYAMBI 2
0.1%
BWANANYAMBI 15
0.8%
CHADZA 14
0.7%
CHAKHADZA 2
0.1%
CHAKHADZA/MADISI 1
0.1%
CHAKHAZA 1
0.1%
CHAMBA 3
0.2%
CHAMBO WARD 6
0.3%
CHANGATA 18
0.9%
CHAPANANGA 1
0.1%
CHEKUCHEKU 1
0.1%
CHEMUSA 1
0.1%
CHIBANJA 6
0.3%
CHIBANJA WARD 4
0.2%
CHIBAVI 1
0.1%
CHIGUMULA 4
0.2%
CHIGUMULA WARD 10
0.5%
CHIKAMVEKA 3
0.2%
CHIKAMVEKA EAST WARD 1
0.1%
CHIKAMVEKA NORTH 1
0.1%
CHIKAMVEKA NORTH WARD 11
0.6%
CHIKAMVEKA WARD 6
0.3%
CHIKOWI 5
0.3%
CHIKULAMAYEMBE 1
0.1%
CHIKUMBU 20
1%
CHIKWEO 2
0.1%
CHILIKUMWENDO 2
0.1%
CHILIMBA/MTOSO 1
0.1%
CHILOBWE 1
0.1%
CHILOMONI 1
0.1%
CHILUNGA EAST 1
0.1%
CHIMALIRO 18
0.9%
CHIMUTU 42
2.1%
CHIMWALA 1
0.1%
CHIMWANKHUNDA 1
0.1%
CHINDI 17
0.9%
CHIPUTULA 1
0.1%
CHIPUTULA WARD 13
0.7%
CHIRAMWERA 1
0.1%
CHIRUNGA EAST WARD 1
0.1%
CHISEKA 34
1.7%
CHITELA 1
0.1%
CHITSEKA 5
0.3%
CHITUKULA 47
2.4%
CHIVUTA 1
0.1%
CHIWALO 1
0.1%
CHIWERE 35
1.8%
DAMBE 2
0.1%
DZOOLE 2
0.1%
DZOWOLE 2
0.1%
FALLS 1
0.1%
FUKAMAPIRI 15
0.8%
GANYA 13
0.7%
GANYA/SHARP VALLEY 1
0.1%
GOODSON GANYA 4
0.2%
INKOSI MASASA 2
0.1%
JALASI 19
1%
JUMA 15
0.8%
KABUDULA 34
1.7%
KABUNDULI 3
0.2%
KACHELE 3
0.2%
KACHERA 1
0.1%
KACHERE 16
0.8%
KACHINDAMOTO 24
1.2%
KADEWELE 2
0.1%
KADEWERE 16
0.8%
KALEMBO 2
0.1%
KALOLO 1
0.1%
KALONGA 3
0.2%
KALUMBU 20
1%
KALUMO 1
0.1%
KAMBWILI 1
0.1%
KAMENYA GWAZA 15
0.8%
KAMENYA NGWADZA 1
0.1%
KAMENYA NGWAZA 1
0.1%
KAMENYAGWAZA 4
0.2%
KAMPINGO 3
0.2%
KAMPINGO SIBANDE 7
0.4%
KAMPINGO SUWANDE 1
0.1%
KAMPINGO/SONDA 1
0.1%
KAMPINGOSIBANDE 1
0.1%
KANDUKU 1
0.1%
KANYENDA 2
0.1%
KAOMBA 5
0.3%
KAPENI 18
0.9%
KAPHUKA 19
1%
KAPICHI 1
0.1%
KARONGA BOMA 9
0.5%
KARONGA TOWN 7
0.4%
KASAKULA 1
0.1%
KASUMBU 1
0.1%
KATAWA WARD 1
0.1%
KATOTO 1
0.1%
KATULI 14
0.7%
KATUNGA 2
0.1%
KATURI 2
0.1%
KAWALE 1 2
0.1%
KAWAMBA 2
0.1%
KAWOMBA 1
0.1%
KAYEMBE 1
0.1%
KAZEMBE 1
0.1%
KHWETHEMULE 1
0.1%
KILIPULA 1
0.1%
KILUPULA 2
0.1%
KUMTUMANJI 1
0.1%
KUNTHEMBWE 19
1%
KWATAINE 3
0.2%
KYUNGU 8
0.4%
LIKANGALA CENTRAL 6
0.3%
LIKANGALA CENTRAL /CHIKOW 1
0.1%
LIKANGALA CENTRAL CHIKOWI 1
0.1%
LIKANGALA CENTRAL WARD 13
0.7%
LIKANGALA WARD 1
0.1%
LIKANGARA CENTRAL WARD 1
0.1%
LIKANGARA WARD 1
0.1%
LIKHUBULA WARD 16
0.8%
LIKOSWE 1
0.1%
LILONGWE CITY 1
0.1%
LIMBE WEST 3
0.2%
LIMBE WEST WARD 11
0.6%
LIWONDE 3
0.2%
LUNDU 13
0.7%
LUPASO WARD 8
0.4%
LUPASU WARD 2
0.1%
LUWINGA 1
0.1%
M'BIZA 22
1.1%
MABUKA 36
1.8%
MACHINJIRI 5
0.3%
MACHINJIRI AREA 3 1
0.1%
MACHINJIRI(NKOLOKOTI) 1
0.1%
MAGANGA 2
0.1%
MAKATA 2
0.1%
MAKHWIRA 2
0.1%
MAKWANGWALA 1
0.1%
MALANGALANGA ADMARC 1
0.1%
MALEMIA 9
0.5%
MALEMYA 2
0.1%
MALENGA 26
1.3%
MALENGA CHANZI 1
0.1%
MALENGA/KALUMO 2
0.1%
MALENGACHANZI 2
0.1%
MALENKA 1
0.1%
MALILI 24
1.2%
MANASE/NACHOLI 1
0.1%
MANJA 1
0.1%
MANKHWIRA 1
0.1%
MASASA 13
0.7%
MASASA TOWN 2
0.1%
MASASA WARD 4
0.2%
MASEYA 11
0.6%
MASULA 1
0.1%
MBAWERA 1
0.1%
MBELWA 4
0.2%
MBIZA 14
0.7%
MCHEMA 12
0.6%
MCHIRA MWERA 1
0.1%
MCHIRAMERA 1
0.1%
MCHIRAMWERA 8
0.4%
MDUWA 1
0.1%
MGONA 1
0.1%
MISESA WARD 1
0.1%
MKANDA 19
1%
MKHUMBA 19
1%
MKUKULA 1
0.1%
MKUMBA 1
0.1%
MKUMBIRA 10
0.5%
MLUMBE 11
0.6%
MNKHUMBA 1
0.1%
MPAMA 1
0.1%
MPHUKA 12
0.6%
MPONDA 45
2.3%
MPONELA 35
1.8%
MPONERA 1
0.1%
MPUKA 3
0.2%
MSAKAMBEWA 1
0.1%
MSAMALA 20
1%
MTCHEMA 4
0.2%
MTEMA 1
0.1%
MTHWALO 6
0.3%
MTWALO 19
1%
MULAULI 1
0.1%
MULUMBE 7
0.4%
MWABULAMBIA 4
0.2%
MWABULAMBYA 13
0.7%
MWADZAMA 18
0.9%
MWAHENGA 1
0.1%
MWAKABOKO 1
0.1%
MWAMBO 18
0.9%
MWANSAMBO 17
0.9%
MWANZA 17
0.9%
MWANZA BOMA 12
0.6%
MWANZAMA 1
0.1%
MWAZA 1
0.1%
MWAZAMA 1
0.1%
MWENEMISUKU 1
0.1%
MWENEWENYA 16
0.8%
MZIKUBOLA 1
0.1%
MZUKUZUKU 1
0.1%
MZUZU CITY 1
0.1%
NAMABVI SC 1
0.1%
NAMIWAWA 1
0.1%
NAMKUMBA 1
0.1%
NANCHOLI WARD 1
0.1%
NANKUMBA 18
0.9%
NAZOMBE 1
0.1%
NCHEMA 1
0.1%
NCHILAMWERA 1
0.1%
NCHIRAMWERA 1
0.1%
NDINDI 1
0.1%
NDIRANDE SOUTH 7
0.4%
NDIRANDE SOUTH WAED 1
0.1%
NDIRANDE SOUTH WARD 5
0.3%
NDIRANDE SOUTHWARD 3
0.2%
NEW AIRPORT 1
0.1%
NGABU 38
1.9%
NGOKWE 21
1.1%
NGOMANO 1
0.1%
NJEMA 2
0.1%
NJEWA 28
1.4%
NJEWA / AREA 56 2
0.1%
NJEWA/ AREA 56 1
0.1%
NJEWA/AREA 56 7
0.4%
NJOLOMOLE 34
1.7%
NKHOTAKOTA 1
0.1%
NKHUMBA 21
1.1%
NKOLOKOTI 2
0.1%
NKUKULA 1
0.1%
NKUMBA 1
0.1%
NKUMBILA 6
0.3%
NSAKAMBEWA 1
0.1%
NSAMALA 33
1.7%
NSOMBA 1
0.1%
NTCHEMA 1
0.1%
NTHACHE 17
0.9%
NTHALIRE 1
0.1%
NTHONDO 20
1%
NTOLOMOLE 1
0.1%
NYAMBI 15
0.8%
S C NYAMBI 1
0.1%
S/C NAMABVI 2
0.1%
SADZI WARD 3
0.2%
SAMALA 1
0.1%
SANTHE 20
1%
SC NAMABVI 12
0.6%
SC NYAMBI 2
0.1%
SIMULEMBA 1
0.1%
SITOLA 21
1.1%
SOCHE EAST 1
0.1%
SOCHE WEST 1
0.1%
SOCHE/QUARRY/KAPENI 1
0.1%
SOJENI 1
0.1%
SOMBA 1
0.1%
SONDA 1
0.1%
SONDA/NEW AIRPORT SITE 1
0.1%
SOUTH LUNZU 8
0.4%
SOUTH LUNZU WARD 9
0.5%
SUB NAMABVI 1
0.1%
SUB SC NAMABVI 2
0.1%
SUB SC NAMAVI 1
0.1%
SUB T.A NSANAMA 1
0.1%
TAMBALA 14
0.7%
TCHEMA 1
0.1%
TCHILAMWELA 5
0.3%
THIRAMANJA 3
0.2%
THOMAS 2
0.1%
THOMASI 1
0.1%
THYOLO BOMA 1
0.1%
TIMBIRI 3
0.2%
TSABANGO 43
2.2%
TSABANGO / AREA 21 2
0.1%
TSABANGO/AREA 21 1
0.1%
TSABANGO/KALIYEKA 1
0.1%
TSABANGO/KAONDO TOWN 1
0.1%
TSABANGO/TOWN AREA 36 1
0.1%
WANSAMBO 1
0.1%
WIMBE 20
1%
ZAKAZAKA 2
0.1%
ZAKAZAKA WARD 6
0.3%
ZATUWA 1
0.1%
ZOMBA CENTRAL 1
0.1%
ZOMBA CITY 1
0.1%
ZUKUZUKU 1
0.1%
ZULU 3
0.2%
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.
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