Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M / variable [F73]
lsms

National Panel Survey 2014-2015, Wave 4

Tanzania, 2014 - 2015
Living Standards Measurement Study (LSMS)
National Bureau of Statistics
Created on January 30, 2020 Last modified January 30, 2020 Page views 160742 Download 95544 Documentation in PDF Study website Metadata DDI/XML JSON
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Village / Enumeration Area Name (lf_a04_2)

Data file: lf_sec_a

Overview

Valid: 1439
Invalid: 0
Type: Discrete
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ALI MAUA B 1
0.1%
AMANI MAKOLO 1
0.1%
AMANI MAKORO 1
0.1%
ASAO 8
0.6%
BANDABICHI 1
0.1%
BANGULO 6
0.4%
BONGA 8
0.6%
BUCHELA 'A' 5
0.3%
BUGAYAMBELELE 4
0.3%
BUHARE 5
0.3%
BUHEKELA 5
0.3%
BULINDA 4
0.3%
BULUGALILA 5
0.3%
BUNYAGONGO 5
0.3%
BUSAMBILO 1
0.1%
BUSAMBILO [NINDO] 1
0.1%
BUSAMBILO[NINDO] 1
0.1%
BUSIAMHYA 2
0.1%
BUSIAMPYA 1
0.1%
BUSIYAMHYA 3
0.2%
BUSONGO 8
0.6%
BUSULE 7
0.5%
BUYARAMBE 8
0.6%
BUZIGU 5
0.3%
BUZURUGA KUSINI 2
0.1%
CHABUGONGE 5
0.3%
CHANG'OMBE 12
0.8%
CHANGALA 1
0.1%
CHIGALA 6
0.4%
CHIGOTO 7
0.5%
CHIULU 4
0.3%
CHUMYA 1
0.1%
CHUNYA 2
0.1%
DUGHAI 8
0.6%
DUMI 2
0.1%
ELIMU 7
0.5%
EMBALWA 8
0.6%
EMBARARUAI 8
0.6%
GAMBANI 3
0.2%
GOSI 7
0.5%
GUA 3
0.2%
GUA D 3
0.2%
HALULALO 4
0.3%
HALULAYO 1
0.1%
HHAYGHAFA 8
0.6%
HINDAGI 3
0.2%
IBAMBULA 1
0.1%
IBUMBA 6
0.4%
IGOMBE 4
0.3%
IGONAMBOGO/SOLEKI 1
0.1%
IGONDA 5
0.3%
IGWATA 8
0.6%
IHEGE 3
0.2%
IKOLA 7
0.5%
IKULLI/KWAMBEGA 1
0.1%
IKULU/KWA MBEGA 1
0.1%
IKULU/KWAMBEGA 1
0.1%
IKUTI 2
0.1%
IKUTI/LUMBE 1
0.1%
ILALA 5
0.3%
ILUNDE 8
0.6%
ILUNGU B 5
0.3%
IMALAMIHAYO 8
0.6%
ISAMBALA 4
0.3%
ISAMILO KASKAZINI 'B' 2
0.1%
ISELAMAGAZI 1
0.1%
ITAKA 5
0.3%
ITAKA MJINI 1
0.1%
ITAMBA 4
0.3%
ITAMBA A 1
0.1%
ITONJAMOTO 1
0.1%
ITUNDULU 6
0.4%
ITURU 8
0.6%
IVANGWA 4
0.3%
IYOGELO 1
0.1%
IZUNYA 1
0.1%
IZUNYA,LUGAKA 5
0.3%
IZUNYA/LUGAKA 1
0.1%
JILINGU 7
0.5%
KAARO 5
0.3%
KABANTU 4
0.3%
KAIBALE 8
0.6%
KAKUKURU 2
0.1%
KALAMBO 3
0.2%
KALOLENI 2
0.1%
KALUNDE 6
0.4%
KAMSEKWA 1
0.1%
KANENGELO 7
0.5%
KANINDO 4
0.3%
KANINDO/DUMA 1
0.1%
KANYAMWANJA 6
0.4%
KARAKANA 3
0.2%
KARANSI 7
0.5%
KAREMA 1
0.1%
KASHALU 7
0.5%
KASHENYE 4
0.3%
KASISI 3
0.2%
KASKAZINI 'A' 2
0.1%
KASULO 3
0.2%
KATANDA 2
0.1%
KATANINI 4
0.3%
KAWEKAMO 8
0.6%
KAYANGA VIJIJINI 2
0.1%
KAYENZE 'A' 2
0.1%
KAYENZE A 2
0.1%
KAZA MWENDO 1
0.1%
KAZAMWENDO 6
0.4%
KAZIMOTO 8
0.6%
KIBONDEMAJI B 1
0.1%
KIBONDENI 1
0.1%
KICHANGANI 1
0.1%
KICHIWA 1
0.1%
KIDOMA MLIMANI 3
0.2%
KIDUDO 7
0.5%
KIFILYA 'A' NYASHIMBA 2
0.1%
KIFILYA 'A'/ NYASHIMBA 2
0.1%
KIFILYA A/NYASHIMBA 2
0.1%
KIGILAGILA 1
0.1%
KIHONDA MBUYUNI 2
0.1%
KIHOROGOTA 2
0.1%
KIKONOKA 1
0.1%
KIKUNGUNI MBUYUNI 2
0.1%
KILAGANO 3
0.2%
KILALA 'A' 1
0.1%
KILALA A 2
0.1%
KILIDU 5
0.3%
KILIMAHEWA 1
0.1%
KILIMAHEWA "B" 1
0.1%
KILIMAHEWA B 1
0.1%
KILIMANI 1
0.1%
KILIMMAHEWA B 1
0.1%
KILOLELI 2
0.1%
KILOLENI 5
0.3%
KILOMBELO 2
0.1%
KILOMBERO 1
0.1%
KILOMETA 1
0.1%
KILOMETA/ZAHANATI 4
0.3%
KILUNGULE 1
0.1%
KIMBUGU 1
0.1%
KINYIKANI 1
0.1%
KIONWA 8
0.6%
KIPANGANI 1
0.1%
KIPANGE 3
0.2%
KISANGA 1
0.1%
KISIMA 4
0.3%
KISIWANI 7
0.5%
KISUTU 3
0.2%
KITANDA 1
0.1%
KITANGIRI,NYANGUKU 5
0.3%
KITANGIRI/NYANGUKU 1
0.1%
KITARAMANKA 1
0.1%
KITUNGURU 5
0.3%
KITUPA 4
0.3%
KIUNGANI MSIKITINI 2
0.1%
KIYANGU'A' 1
0.1%
KIYUNGI MADUKANI 7
0.5%
KOKOBO 3
0.2%
KOLILA 8
0.6%
KOLUGULU"A",MKAMBAMBA"A" 1
0.1%
KOLUGULU'A'/MKAMBALA'A' 1
0.1%
KONGOWE 2
0.1%
KOROGWE 3
0.2%
KOTELA MAGHARIBI 7
0.5%
KUKITARAMANKA 1
0.1%
KUMNAZI 6
0.4%
KUMNYIKA 5
0.3%
KWA TUMBO 1
0.1%
KWAHEMA 1
0.1%
KWAMAGEMBE 1
0.1%
KWAMBWELA 1
0.1%
KWAMWANAJABIRI 5
0.3%
KWEDITANO 4
0.3%
KWEDITANO/KWAMAGEMBE 2
0.1%
KWEKEA 8
0.6%
KWELUSHWEGA 2
0.1%
KWELUSHWEGA&MTIMULE 1
0.1%
KWELUSHWEGA/MTIMULE 1
0.1%
KWELUSHWEGE&MTIMULE 1
0.1%
LEGEZA MWENDO 2
0.1%
LEGEZAMWENDO 1
0.1%
LIKUMBO 4
0.3%
LIPUTU 1
0.1%
LOKORO 5
0.3%
LONGONI 8
0.6%
LUBUGU 6
0.4%
LUGURUNI 3
0.2%
LWENGE 2
0.1%
MAASA CHINI 1
0.1%
MAASA JUU 2
0.1%
MACHINJIONI 1
0.1%
MADUGHA 6
0.4%
MAENDELEO/MIEMBENI 1
0.1%
MAFURIKO 4
0.3%
MAFURIKO A 1
0.1%
MAGENGENI 1
0.1%
MAGEREZA 3
0.2%
MAGEREZA/NGOMA 1
0.1%
MAGUNKUNE 8
0.6%
MAHENGE 7
0.5%
MAHIDA 1
0.1%
MAHINA 1
0.1%
MAJANI MAPANA 1
0.1%
MAJANI MAPANA C 3
0.2%
MAJIMBIKANI 3
0.2%
MAJITA ROAD 4
0.3%
MAKAKA 'A' 3
0.2%
MAKAKA 'A' & 'B' 1
0.1%
MAKAKA 'A' &'B' 1
0.1%
MAKAKA 'A' NA MAKAKA 'B' 1
0.1%
MAKAKA 'B' 2
0.1%
MAKAO MAPYA 1
0.1%
MAKILI "B" 4
0.3%
MAKILI 'B' 1
0.1%
MAKOLE JUU 1
0.1%
MAKUKA KUSINI 1
0.1%
MAKULI 'B' 1
0.1%
MAKUNDUSHI&MANAENAENI 6
0.4%
MALAMBA MAWILI 5
0.3%
MAMULI 2
0.1%
MANAENAENI 1
0.1%
MANDELA 2
0.1%
MANDELEO/MIEMBENI 1
0.1%
MANGA 2
0.1%
MAPINDUZI 4
0.3%
MASALALI 'A' 3
0.2%
MASHETE 3
0.2%
MASHINE YA MAJI 3
0.2%
MASJID NURU 1
0.1%
MATANKINI 1
0.1%
MATARAWE 2
0.1%
MATEKA'A' 3
0.2%
MATOSA 1
0.1%
MAVURUNZA 1
0.1%
MBASA 1
0.1%
MBOGWA 6
0.4%
MBOZANI 2
0.1%
MBWANGA 2
0.1%
MBWEMKURU KASKAZINI 1
0.1%
MBWENI 1
0.1%
MCHANGALA 1
0.1%
MCHOTIKE 3
0.2%
MCHULUKA 1
0.1%
MDUNDWA & VISUMBI 6
0.4%
MERIKEBU 1
0.1%
MGOLI 1
0.1%
MGONANGHOLONGO 4
0.3%
MGONGENI 2
0.1%
MIANZINI 2
0.1%
MIEMBENI 1
0.1%
MIEMBENI/MAENDELEO 1
0.1%
MIEMBENI/MINAZINI 2
0.1%
MIFURUNI 5
0.3%
MIHALE 6
0.4%
MILE 2
0.1%
MILUMBA 3
0.2%
MINAZINI 1
0.1%
MIREMERE 4
0.3%
MIREMIRE 1
0.1%
MIRUMBA 5
0.3%
MISAKE 4
0.3%
MISUFINI 7
0.5%
MITEMA 4
0.3%
MIVINJENI 1
0.1%
MJI MWEMA 3
0.2%
MJI MWEMA/NANJESE 1
0.1%
MJIMWEMA 9
0.6%
MJIMWEMA/NANJESE 3
0.2%
MKAMBALA & KOLUGULU A 1
0.1%
MKAMBALA"A",KOLUGULU"A" 1
0.1%
MKAMBALA&KOLUGULU A 1
0.1%
MKAPA 2
0.1%
MKEHA 3
0.2%
MKESE 4
0.3%
MKIMA 6
0.4%
MKINGA 3
0.2%
MKOMBWE 1
0.1%
MKWINDA 1
0.1%
MKWITI 4
0.3%
MLABANI A 3
0.2%
MLIMANI 2
0.1%
MLOMBOJI 7
0.5%
MOGO 1
0.1%
MOMOKA 3
0.2%
MOROGO CENTRE 1
0.1%
MOROGO SENTA 2
0.1%
MPANDANJE 4
0.3%
MPATA 4
0.3%
MSANGA MKUU 1
0.1%
MSANGA MKUU B 6
0.4%
MSASANI 3
0.2%
MSELELO 4
0.3%
MSHIKAMANO 1
0.1%
MSIMBAZI 5
0.3%
MSUFINI 2
0.1%
MTAKUJA 15
1%
MTAMBANI 1
0.1%
MTIMULE 3
0.2%
MUHIDA 5
0.3%
MUKITOMA 2
0.1%
MUNDULI 1
0.1%
MUREGEE 1
0.1%
MUROGO SENTA 1
0.1%
MURUGEE 7
0.5%
MURUMBA 1
0.1%
MUSASA 'A' 8
0.6%
MUUNGANO 6
0.4%
MUYOBOZI 3
0.2%
MVAE 8
0.6%
MWABASABI 4
0.3%
MWABAYANDA 7
0.5%
MWALUMA 6
0.4%
MWAMAKINGI 5
0.3%
MWANAGHALAJA 1
0.1%
MWANANYAMALA 3
0.2%
MWANDA 2
0.1%
MWANDULU 1
0.1%
MWANG'HALAJA 1
0.1%
MWANGHALAJA 6
0.4%
MWANKALI 6
0.4%
MWANKOLI 1
0.1%
MWASOLAGE 7
0.5%
MWEMBE MKALI 1
0.1%
MYOMBO 7
0.5%
MZINGA 2
0.1%
NACHIKUKWE 6
0.4%
NAMBA 5 '5' 1
0.1%
NAMBA 5"B" 3
0.2%
NAMBA 5'B' 1
0.1%
NAMBA"5" 1
0.1%
NAMTAMBALALA 4
0.3%
NAWAMBA 3
0.2%
NDANYELA 4
0.3%
NDEBESII 7
0.5%
NDITU 1
0.1%
NDUNDUKE 1
0.1%
NG'HUNDI 5
0.3%
NG'OWO 1
0.1%
NG'WANG'WEGWE 1
0.1%
NG'WANG'WEGWE MATUKUTU 2
0.1%
NG'WANG'WEGWE MTUKUTU 1
0.1%
NG'WANG'WEGWE, MATUKUTU 1
0.1%
NGARAMTONI CHINI 2
0.1%
NGEMBAMBILI B&C 1
0.1%
NGEMBAMBILIB/NGEMBAMBILIC 1
0.1%
NGONGWA 6
0.4%
NGONYA 4
0.3%
NGUDU MJINI 4
0.3%
NGUGUMBALO 1
0.1%
NHC 1
0.1%
NHUNGULU 6
0.4%
NINDI JUU 8
0.6%
NINDO 5
0.3%
NJUCHA 7
0.5%
NKINGA 1
0.1%
NKINGA KATI 5
0.3%
NKOMBOLA 5
0.3%
NKUBA 'A' 4
0.3%
NO2 KAMSEKWA 1
0.1%
NSANGA 2
0.1%
NSITONY 5
0.3%
NTAALE 6
0.4%
NYAKABANGA 5
0.3%
NYAKABOJA 6
0.4%
NYAKAZOMBE 2
0.1%
NYAKAZOMBE/IKULU 3
0.2%
NYAMALEBE 3
0.2%
NYAMISEBEI 'A' 3
0.2%
NYAMISEMBEI 'A' 1
0.1%
NYAMONGO 8
0.6%
NYAMOSO 7
0.5%
NYANDEKWA 1
0.1%
NYARUTABWE MAGHARIBI 6
0.4%
NYASHIMBA 'B' 5
0.3%
NYEBURU 6
0.4%
NYEGELEU/KIBONG'O 4
0.3%
NYEGEREU/KIBONG'O 2
0.1%
NYUMBA ZA STARLING A 1
0.1%
NYUNGUU 1
0.1%
NZASA B 1
0.1%
OMUKASHASHA 7
0.5%
OYSTERBAY 2
0.1%
PASIANSI JUU 2
0.1%
PICHA YA NDEGE 2
0.1%
POSTA 7
0.5%
PUNA 8
0.6%
PWANI 1
0.1%
RAMADHANI 2
0.1%
RUHITA 1
0.1%
RUHOKO 'A' 5
0.3%
RUHOKO A 1
0.1%
RUVU 2
0.1%
RWENZIGE 7
0.5%
SABASABA 1
0.1%
SAGALA 5
0.3%
SAJA 1
0.1%
SAJA KATI 2
0.1%
SANU BARAY 1
0.1%
SEGEREA 1
0.1%
SHAURIMOYO 2
0.1%
SHINDENI 8
0.6%
SHINGA 8
0.6%
SHIRINGA 2
0.1%
SHULENI 15
1%
SOGEA 1
0.1%
SOKOINE 12
0.8%
SOKONI 9
0.6%
SOLEKI 1
0.1%
SONGAMBELE 16
1.1%
STOPOVER 5
0.3%
SUGE 7
0.5%
SURA 7
0.5%
TANDIKA 1
0.1%
TANKINI,MAPINDUZI,LEGEZA 1
0.1%
TEGETA PWANI 1
0.1%
TEMBO 8
0.6%
TONDOONI 3
0.2%
TUBUYU 2
0.1%
TUMBIKO 1
0.1%
TUMBILI 7
0.5%
TUMBULI 1
0.1%
TUNDUME 3
0.2%
TUNGAMAA 1
0.1%
TUPENDANE 2
0.1%
TURIANI&MAKOLE JUU 4
0.3%
UDUMUKA 1
0.1%
UGANDA 1
0.1%
UHAMIAJI 1
0.1%
UKOMBOZI 5
0.3%
ULONGONI 2
0.1%
UMBINI 2
0.1%
USOLEKI 1
0.1%
UZI 1
0.1%
VIKONGE 4
0.3%
ZASHE 1
0.1%
ZIWANI 2
0.1%
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.

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