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

343592

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From which ID_DISTRICT did you move? - NAME (hh_b27_1)

Data file: hh_sec_b

Overview

Valid: 5845

Invalid: 0

Type: Discrete

Start: 107

End: 122

Width: 16

Range: -

Format: character

Questions and instructions

Categories

Value	Cases
ARUMERU	22	0.4%
ARUSHA	22	0.4%
ARUSHA VIJIJINI	9	0.2%
BABATI	25	0.4%
BABATI M	1	0%
BABATI MJINI	3	0.1%
BAGAMOYO	26	0.4%
BAHI	21	0.4%
BARIADI	189	3.2%
BIHARAMULO	22	0.4%
BUHIGWE	8	0.1%
BUKOBA RURAL	28	0.5%
BUKOBA URBAN	33	0.6%
BUKOMBE	30	0.5%
BUNDA	38	0.7%
BURUNDI	2	0%
BUSEGA	27	0.5%
BUTIAMA	14	0.2%
CHAKECHAKE	74	1.3%
CHATO	32	0.5%
CHEMBA	3	0.1%
CHUNYA	11	0.2%
CONGO	2	0%
DODOMA RURAL	17	0.3%
DODOMA URBAN	61	1%
GAIRO	9	0.2%
GEITA	119	2%
GEITA MJINI	5	0.1%
HAI	18	0.3%
HANANG	28	0.5%
HANDENI	26	0.4%
IGUNGA	64	1.1%
IKUNGI	4	0.1%
ILALA	253	4.3%
ILEJE	6	0.1%
INDIA	1	0%
IRAMBA	33	0.6%
IRINGA RURAL	27	0.5%
ITILIMA	20	0.3%
KAHAMA	97	1.7%
KALIUA	21	0.4%
KARAGWE	34	0.6%
KARATU	10	0.2%
KASKAZINI A	48	0.8%
KASKAZINI B	21	0.4%
KASULU	29	0.5%
KATI	49	0.8%
KENYA	10	0.2%
KIBAHA	21	0.4%
KIBAHA MJINI	5	0.1%
KIBONDO	36	0.6%
KIGOMA RURAL	25	0.4%
KIGOMA URBAN	27	0.5%
KILINDI	9	0.2%
KILOMBERO	29	0.5%
KILOSA	27	0.5%
KILWA	35	0.6%
KINONDONI	533	9.1%
KISARAWE	8	0.1%
KITETO	4	0.1%
KONDOA	47	0.8%
KONGWA	13	0.2%
KOROGWE	22	0.4%
KUSINI	27	0.5%
KWIMBA	89	1.5%
KYELA	13	0.2%
LINDI RURAL	42	0.7%
LINDI URBAN	13	0.2%
LIWALE	14	0.2%
LONGIDO	2	0%
LUDEWA	15	0.3%
LUSHOTO	47	0.8%
MAFIA	3	0.1%
MAGHARIBI	205	3.5%
MAGU	49	0.8%
MAKAMBAKO	13	0.2%
MAKETE	31	0.5%
MANYONI	45	0.8%
MASASI	53	0.9%
MASASI (V)	1	0%
MASASI DC	3	0.1%
MASASI MJINI	3	0.1%
MASASI TC	2	0%
MASWA	106	1.8%
MBALALI	22	0.4%
MBEYA RURAL	31	0.5%
MBEYA U	3	0.1%
MBEYA URBAN	26	0.4%
MBINGA	14	0.2%
MBOGWE	25	0.4%
MBOZI	26	0.4%
MBULU	12	0.2%
MEATU	79	1.4%
MICHWEWENI	47	0.8%
MISENYE	14	0.2%
MISUNGWI	41	0.7%
MJINI	307	5.3%
MKALAMA	9	0.2%
MKOANI	49	0.8%
MKURANGA	22	0.4%
MLELE	10	0.2%
MOMBA	3	0.1%
MONDULI	6	0.1%
MOROGORO	1	0%
MOROGORO RURAL	28	0.5%
MOROGORO URBAN	39	0.7%
MOSHI RURAL	36	0.6%
MOSHI URBAN	27	0.5%
MPANDA	9	0.2%
MPANDA MJINI	13	0.2%
MPANDA RURAL	1	0%
MPANDA VIJIJINI	21	0.4%
MPANDA VIJIJNI	1	0%
MPWAPWA	14	0.2%
MSUMBIJI	4	0.1%
MTWARA (M)	1	0%
MTWARA MIKINDANI	10	0.2%
MTWARA MJINI	2	0%
MTWARA RURAL	26	0.4%
MUFINDI	31	0.5%
MUHEZA	20	0.3%
MULEBA	65	1.1%
MUSOMA RURAL	14	0.2%
MUSOMA URBAN	26	0.4%
MVOMERO	24	0.4%
MWANGA	10	0.2%
NACHINGWEA	20	0.3%
NAMTUMBO	27	0.5%
NANYUMBU	7	0.1%
NEWALA	34	0.6%
NGARA	38	0.7%
NJOMBE	19	0.3%
NJOMBE MJINI	10	0.2%
NJOMBE RURAL	1	0%
NJOMBE V	2	0%
NJOMBE VIJIJINI	2	0%
NKASI	28	0.5%
NYAMAGANA	32	0.5%
NYANG'HWALE	11	0.2%
NYANG'WALE	1	0%
NYASA	7	0.1%
NZEGA	100	1.7%
PANGANI	4	0.1%
PWANI	1	0%
ROMBO	28	0.5%
RORYA	14	0.2%
RUANGWA	9	0.2%
RUFIJI	19	0.3%
RUNGWE	21	0.4%
RWANDA	2	0%
SAME	37	0.6%
SENGEREMA	87	1.5%
SHINYANGA RURAL	24	0.4%
SIHA	1	0%
SIKONGE	28	0.5%
SIMANJIRO	5	0.1%
SINGIDA RURAL	31	0.5%
SINGIDA URBAN	17	0.3%
SONGEA RURAL	15	0.3%
SONGEA URBAN	22	0.4%
SONGEA VIJIJINI	2	0%
SUMBAWANGA	22	0.4%
SUMBAWANGA URBAN	10	0.2%
TABORA URBAN	35	0.6%
TANDAHIMBA	13	0.2%
TANGA URBAN	24	0.4%
TARIME	14	0.2%
TEMEKE	307	5.3%
TUNDURU	24	0.4%
UGANDA	1	0%
UJERUMANI	1	0%
UKEREWE	51	0.9%
ULANGA	31	0.5%
URAMBA	27	0.5%
UVINZA	11	0.2%
UYUI	36	0.6%
WAN'INGIOMBE	1	0%
WANGING'OMBE	10	0.2%
WANGINGOMBE	3	0.1%
WETE	78	1.3%
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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