National Panel Survey 2014-2015, Wave 4

Tanzania, 2014 - 2015

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Reference ID

TZA_2014_NPS-R4_v03_M

DOI

https://doi.org/10.48529/y3qj-d018

Producer(s)

National Bureau of Statistics

Collection(s)

Living Standards Measurement Study (LSMS)

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Jul 17, 2017

Last modified

Jan 30, 2020

Page views

333979

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In which ID_DISTRICT were you born? - NAME (hh_b29_1)

Data file: hh_sec_b

Overview

Valid: 5845

Invalid: 0

Type: Discrete

Start: 127

End: 142

Width: 16

Range: -

Format: character

Questions and instructions

Categories

Value	Cases
ARUMERU	33	0.6%
ARUSHA	16	0.3%
ARUSHA VIJIJINI	1	0%
ARUSHA RURAL	1	0%
ARUSHA V	1	0%
ARUSHA VIJIJINI	6	0.1%
BABATI	30	0.5%
BABATI MJINI	6	0.1%
BAGAMOYO	31	0.5%
BAHI	28	0.5%
BARIADI	225	3.8%
BIHARAMULO	24	0.4%
BUHIGWE	8	0.1%
BUKOBA RURAL	40	0.7%
BUKOBA URBAN	23	0.4%
BUKOMBE	25	0.4%
BUNDA	49	0.8%
BURUNDI	2	0%
BUSEGA	17	0.3%
BUTIAMA	9	0.2%
CHAKECHAKE	82	1.4%
CHATO	40	0.7%
CHEMBA	2	0%
CHUNYA	12	0.2%
CONGO	2	0%
DODOMA RURAL	23	0.4%
DODOMA URBAN	46	0.8%
GAIRO	10	0.2%
GEITA	85	1.5%
GEITA MJINI	2	0%
HAI	28	0.5%
HANANG	31	0.5%
HANDENI	39	0.7%
IGUNGA	62	1.1%
IKUNGI	4	0.1%
ILALA	137	2.3%
ILAMBO MISSION	1	0%
ILEJE	7	0.1%
INDIA	3	0.1%
IRAMBA	49	0.8%
IRINGA RURAL	36	0.6%
ITILIMA	22	0.4%
KAHAMA	82	1.4%
KAKONKO	4	0.1%
KALIUA	14	0.2%
KARAGWE	50	0.9%
KARATU	9	0.2%
KASKAZINI A	82	1.4%
KASKAZINI B	44	0.8%
KASULU	40	0.7%
KATI	55	0.9%
KENYA	13	0.2%
KIBAHA	18	0.3%
KIBAHA M	1	0%
KIBAHA MJINI	2	0%
KIBAHA V	1	0%
KIBONDO	43	0.7%
KIGOMA RURAL	31	0.5%
KIGOMA URBAN	37	0.6%
KILINDI	7	0.1%
KILOMBERO	29	0.5%
KILOSA	38	0.7%
KILWA	50	0.9%
KINONDONI	168	2.9%
KISARAWE	43	0.7%
KITETO	5	0.1%
KONDOA	57	1%
KONGWA	13	0.2%
KOROGWE	29	0.5%
KOROGWE (M)	1	0%
KUSINI	63	1.1%
KWIMBA	114	2%
KYELA	25	0.4%
LINDI RURAL	55	0.9%
LINDI URBAN	9	0.2%
LIWALE	15	0.3%
LONGIDO	2	0%
LUDEWA	22	0.4%
LUSHOTO	93	1.6%
MAFIA	3	0.1%
MAGHARIBI	58	1%
MAGU	65	1.1%
MAKAMBAKO	11	0.2%
MAKETE	35	0.6%
MALAWI	2	0%
MANYONI	38	0.7%
MANYUMBU	1	0%
MASASI	71	1.2%
MASASI (V)	1	0%
MASASI DC	3	0.1%
MASASI MJINI	6	0.1%
MASASI TC	2	0%
MASASI VIJIJINI	1	0%
MASWA	125	2.1%
MBALALI	22	0.4%
MBEYA RURAL	20	0.3%
MBEYA U	3	0.1%
MBEYA URBAN	20	0.3%
MBINGA	21	0.4%
MBOGWE	21	0.4%
MBOZI	27	0.5%
MBULU	21	0.4%
MEATU	76	1.3%
MICHWEWENI	68	1.2%
MISENYE	12	0.2%
MISUNGWI	51	0.9%
MJINI	216	3.7%
MKALAMA	11	0.2%
MKINGA	5	0.1%
MKOANI	106	1.8%
MKURANGA	26	0.4%
MLELE	8	0.1%
MOMBA	4	0.1%
MONDULI	8	0.1%
MOROGORO RURAL	51	0.9%
MOROGORO URBAN	26	0.4%
MOSHI RURAL	82	1.4%
MOSHI URBAN	19	0.3%
MPANDA	7	0.1%
MPANDA (R)	1	0%
MPANDA MJINI	13	0.2%
MPANDA R	1	0%
MPANDA RULAR	1	0%
MPANDA V	3	0.1%
MPANDA VIJIJINI	9	0.2%
MPWAPWA	27	0.5%
MSUMBIJI	7	0.1%
MTWARA	1	0%
MTWARA (M)	1	0%
MTWARA MIKINDANI	7	0.1%
MTWARA MJINI	1	0%
MTWARA RURAL	28	0.5%
MUFINDI	33	0.6%
MUHEZA	42	0.7%
MULEBA	71	1.2%
MUSOMA RURAL	31	0.5%
MUSOMA URBAN	24	0.4%
MVOMERO	27	0.5%
MWANGA	33	0.6%
NACHINGWEA	30	0.5%
NAMTUMBO	26	0.4%
NANYUMBU	7	0.1%
NEWALA	44	0.8%
NGARA	41	0.7%
NGORONGORO	1	0%
NJOMBE	36	0.6%
NJOMBE M	1	0%
NJOMBE MJINI	8	0.1%
NJOMBE RURAL	1	0%
NJOMBE V	6	0.1%
NJOMBE VIJIJINI	4	0.1%
NKASI	29	0.5%
NYAMAGANA	29	0.5%
NYANG'HWALE	9	0.2%
NYANG'WALE	1	0%
NYASA	10	0.2%
NZEGA	114	2%
PANGANI	10	0.2%
ROMBO	58	1%
RORYA	18	0.3%
RUANGWA	16	0.3%
RUFIJI	52	0.9%
RUNGWE	39	0.7%
RWANDA	2	0%
SAME	32	0.5%
SENGEREMA	95	1.6%
SHINYANGA RURAL	26	0.4%
SIHA	3	0.1%
SIKONGE	28	0.5%
SIMANJIRO	1	0%
SIMIYU	1	0%
SINGIDA	1	0%
SINGIDA MJINI	1	0%
SINGIDA RURAL	39	0.7%
SINGIDA URBAN	19	0.3%
SONGEA RURAL	15	0.3%
SONGEA URBAN	21	0.4%
SONGEA VIJIJINI	2	0%
SUMBAWANGA	27	0.5%
SUMBAWANGA URBAN	10	0.2%
TABORA URBAN	27	0.5%
TANDAHIMBA	17	0.3%
TANGA URBAN	38	0.7%
TARIME	24	0.4%
TEMEKE	122	2.1%
TUNDURU	32	0.5%
UGANDA	2	0%
UJERUMAN	1	0%
UKEREWE	57	1%
ULANGA	50	0.9%
URAMBA	24	0.4%
UVINZA	9	0.2%
UYUI	31	0.5%
WANGING'OMBE	8	0.1%
WANGINGOMBE	3	0.1%
WETE	109	1.9%
ZAMBIA	2	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.

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