Home / Central Data Catalog / TZA_2010_VBIIE-BL_V01_M_V01_A_PUF / variable [F4]
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Virtual Business Incubator Impact Evaluation 2010, Baseline Survey

Tanzania, 2010
Reference ID
TZA_2010_VBIIE-BL_v01_M_v01_A_PUF
Producer(s)
Elena Bardasi, Markus Goldstein
Metadata
DDI/XML JSON
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
Page views
45302
Downloads
1055

What was [name] (hs5aq6_2)

Data file: bl_labor

Overview

Valid: 408
Invalid: 0
Type: Discrete
Start: 52
End: 89
Width: 38
Range: -
Format: character

Questions and instructions

Question pretext
Ask each question about each household member, retaining the same IDs as in the Household Roster. Write all household members names. Choose main work activity by time spent on activity.
Full time means 40 or more hours per week when working. Part time work is anything less than 40 hour per week when working. Temporary or casual labor refers to a situation in which an individual does not have a guarantee (written or implicit) of work in the future. Often, these workers are hired for a single day, week or month.
Literal question
What was [name]'s main work actually in the past 12 months?
Categories
Value Category Cases
20 1
0.2%
38 1
0.2%
74 TO BUY & SELL SOUP 1
0.2%
ACCOUNTANT 1
0.2%
AEREVA 1
0.2%
ALCUELA 1
0.2%
ALIUZA VILTENGE 1
0.2%
AMAKAANBA SAMALI 1
0.2%
ANAKODSHA MATURUBAZI 1
0.2%
ANALIZA MTUMBA 1
0.2%
ANANIWDVA BTASHOVIS 1
0.2%
ANATENGE NEZA SABUNI 1
0.2%
ANATENGENEZA BATIKI 1
0.2%
ANATENGENEZA SABUNI 1
0.2%
ANAUZA 1
0.2%
ANAUZA BATIKI 1
0.2%
ANAUZA KANGA 1
0.2%
ANAUZA MADINI 1
0.2%
ANAUZANGU 1
0.2%
BANDARI 1
0.2%
BANK 1
0.2%
BANKER 1
0.2%
BAO 1
0.2%
BATIK 1
0.2%
BATIKI 9
2.2%
BENKI 1
0.2%
BUSTAU 1
0.2%
CAMAKI 1
0.2%
CAR SPARE 1
0.2%
CARPENTER 1
0.2%
CHAWLA 1
0.2%
CHILD 1
0.2%
CLEARING 1
0.2%
CLERK 2
0.5%
CONSALTANT 1
0.2%
CONSULTANT 2
0.5%
CONTRACTOR 1
0.2%
CULTURAL CRAFT 1
0.2%
DAKTARI 2
0.5%
DERAVA 1
0.2%
DEREVA 8
2%
DEREVA EDUNCICHER 1
0.2%
DEREYA 1
0.2%
DERVA 1
0.2%
DESAI 1
0.2%
DIREVA 1
0.2%
DR WA FWIPITALI 1
0.2%
DREVA 1
0.2%
DRIVER 2
0.5%
DUBA LA JUMLA 1
0.2%
DUKA LA WADAWA 1
0.2%
DUKA LAVIFAA VYA UMEME 1
0.2%
DULALA SAW 1
0.2%
DULKA LA SPAREZA 2
0.5%
EARAGE 1
0.2%
EEREMALA 1
0.2%
ENGENEER 1
0.2%
ENGINEER 1
0.2%
FUNDA UKANGO 1
0.2%
FUNDI 1
0.2%
FUNDI BICYCLE 1
0.2%
FUNDI FRIJI 1
0.2%
FUNDI MAGA 1
0.2%
FUNDI MAGARI 1
0.2%
FUNDI SUM PUTER 1
0.2%
FUNDI UNEME 1
0.2%
FUNDIMAGARI 1
0.2%
FUNDIRANGI 1
0.2%
FUNDSIMU 2
0.5%
FUNDUAEMD 2
0.5%
FUNSI UNICME 1
0.2%
FUNZI FANIDA 1
0.2%
FUZENEZA BATIKI 1
0.2%
GARAGE 1
0.2%
GENGE 3
0.7%
GEREJI 1
0.2%
HAKUNA 1
0.2%
HANA KAZI 1
0.2%
HASOMI 1
0.2%
HOTEL 2
0.5%
HOTELIA 1
0.2%
HOTELINI 1
0.2%
HOTELINI (CASINO) 1
0.2%
HOUSE GIRL 1
0.2%
HPISHI (HERCRE) 1
0.2%
HUDAMU YA WADI NAFAKA 1
0.2%
JUICE 1
0.2%
KAZI NDANI 1
0.2%
KAZI NYUNONI 1
0.2%
KAZI YA NGOMBE 1
0.2%
KAZIYA NDAN 1
0.2%
KAZIZANDAN 1
0.2%
KERI 1
0.2%
KIENYEST 1
0.2%
KIHINONA UFUGAJT 1
0.2%
KILSHONA/KUTENGENEL MFUKO YACMI MIWAMI 1
0.2%
KNAKA TANKA 1
0.2%
KOKOTO 2
0.5%
KONDATA 1
0.2%
KOSUDA 1
0.2%
KUDARIZI 1
0.2%
KUEDMA 3
0.7%
KUJENGA 1
0.2%
KUKAANGA SAMAKI 1
0.2%
KUKEENGA SAMAKI 1
0.2%
KUKO PESHA 1
0.2%
KUKODOA MUSIKI SHOOOTINA BIPGO 1
0.2%
KUNZA MAZIWA 1
0.2%
KUSHOMA KUUZA 1
0.2%
KUSHONA MEMO 1
0.2%
KUSOMA 3
0.7%
KUTENGENELA BATIKI 2
0.5%
KUTENGENEZA UROBA 1
0.2%
KUTERGENEZA BAFIKI 2
0.5%
KUTOA HUDUMA 1
0.2%
KUUZA BIDHAA 1
0.2%
KUUZA DUKA 1
0.2%
KUUZA FANICHA 1
0.2%
KUUZA KOWTO 1
0.2%
KUUZA MATOUZA 1
0.2%
KUUZA MATUDA 1
0.2%
KUUZA MATUND 1
0.2%
KUUZA MKAA 1
0.2%
KUUZA NANO 1
0.2%
KUUZA NEUO 1
0.2%
KUUZA PICHA 1
0.2%
KUUZA PUMVA 1
0.2%
KUUZA SAMATI 1
0.2%
KUUZA SAMSAKI 1
0.2%
KUUZA T-SHIRT 1
0.2%
KUUZA VIATU 1
0.2%
KUUZA VINYAGO 2
0.5%
KUUZA VIPODRAI 1
0.2%
KUUZA WINYAGO 1
0.2%
KUUZAMKAA 1
0.2%
KUUZANGUU 1
0.2%
KUUZANJI 1
0.2%
KUZA VITENGE 1
0.2%
KUZANGUO 1
0.2%
KWAJILI LINE 1
0.2%
KWANDANI 1
0.2%
KWASARE SANAGARI 1
0.2%
KWRAMI FUNBH 1
0.2%
KWZA MITUMBA 1
0.2%
KWZA SAMAKI 2
0.5%
KWZA SAMAUI 1
0.2%
KWZASAMINI 1
0.2%
LHIGAJI 1
0.2%
LIZIZAJI MBAO 1
0.2%
M.C 1
0.2%
MAANDAZI 1
0.2%
MADADA 1
0.2%
MADINI 2
0.5%
MAKENICA 1
0.2%
MALIBI 1
0.2%
MAMALISHE 1
0.2%
MAMBO YASIASA 1
0.2%
MAPATOYA GUEST 1
0.2%
MAWYAKAZI 1
0.2%
MBUBIGAZI 1
0.2%
MCHONGI 1
0.2%
MCHUNGAJI 1
0.2%
MCHUNGESI 1
0.2%
MEANYARASH 1
0.2%
MECHANCOL 1
0.2%
MECHANIC 1
0.2%
MEDICAL STORE 1
0.2%
MELESEVA 1
0.2%
MGODI 1
0.2%
MHANDISI 1
0.2%
MHUDUMU OTSINI 1
0.2%
MIANYAKAZI WANDANI 1
0.2%
MICHEZO 1
0.2%
MIFUNZI 1
0.2%
MITUMBA 1
0.2%
MJENZI 1
0.2%
MKAA 2
0.5%
MKUFUNZI 2
0.5%
MLINZI 3
0.7%
MSAMI 1
0.2%
MSANIL WA KUIMBA 1
0.2%
MSANILWA MUZI 1
0.2%
MSTKAFU 1
0.2%
MTANYA KAZIWA 1
0.2%
MTOTO 1
0.2%
MTOTO MDOGO 1
0.2%
MUASITBU 1
0.2%
MUUGUZI 1
0.2%
MUUZA KWAKI 1
0.2%
MW 1
0.2%
MWAJIRMU 2
0.5%
MWALIMN 1
0.2%
MWALIMU 3
0.7%
MWALIMY 1
0.2%
MWANAFUNZI 54
13.2%
MWANAFUZI 1
0.2%
MWANDISH WAHABARI 1
0.2%
MWAUMU 1
0.2%
MWINJILISTI 1
0.2%
MWNE 3
0.7%
MWNF 7
1.7%
MWZAMNI 1
0.2%
MZ 1
0.2%
NA KUPANGA NYUMBA 1
0.2%
NEWARYEBO 1
0.2%
NIFOMBE 1
0.2%
O, KANGA 1
0.2%
OPERATOR ALUMNIUM 1
0.2%
PIGAMZIFI 1
0.2%
PILOT 1
0.2%
PRINTING 1
0.2%
PRINTT SHET 1
0.2%
PRIVATE 6
1.5%
PRIVATE AUDITOR 1
0.2%
PRIVATE CO 1
0.2%
PRIVATE DRIVER 1
0.2%
PRIVENE 1
0.2%
PRODUCE BATIKI 1
0.2%
RADIO GRAPHER 1
0.2%
REL 1
0.2%
RESEARCHER 1
0.2%
SABUMI 1
0.2%
SAMAKE 1
0.2%
SAMAKI 1
0.2%
SAPRI DUBAI 1
0.2%
SEREMALA 2
0.5%
SMES 1
0.2%
STATIONARY 3
0.7%
STREVA 1
0.2%
STUDENT 17
4.2%
SUPWAR NNDA 1
0.2%
SURVEYOR 1
0.2%
TACSDBEVER 1
0.2%
TAX DRIVER 1
0.2%
TECHNIADV 1
0.2%
TECHNICAL 4
1%
TECHNICIAN 1
0.2%
TNEN21 1
0.2%
TOPAL 1
0.2%
TUICO 1
0.2%
UCHOOZAZI NGUO 1
0.2%
UCHUNGAJI 1
0.2%
UDEREVA 2
0.5%
UDEWA 1
0.2%
UFATISLG 1
0.2%
UFUGAJI HGOMBO 1
0.2%
UFUGAJI WA KUKU 1
0.2%
UHASIBU 1
0.2%
ULINZI 4
1%
UPASBNJIMI 1
0.2%
USINDIKAJI 1
0.2%
USINDIKAJI WA WGA WA MUHOGO 1
0.2%
UTAFONIO 1
0.2%
UTAFUNZI 1
0.2%
UUZATI MBAO 1
0.2%
VIBERISHATI 1
0.2%
VIHOVYA UMEME 1
0.2%
VINYAGO 1
0.2%
VINYWAJI BARIDI 1
0.2%
VITAFUNIA 1
0.2%
VITAFUNWA 1
0.2%
VITENGE 1
0.2%
VIVYAGO 2
0.5%
VYAKULA 1
0.2%
WA UMEME MKANDALASI 1
0.2%
WAZEE 2
0.5%
WNF 4
1%
YENZI 1
0.2%
ZAKIHMO 1
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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