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National Panel Survey 2014-2015, Wave 4

Tanzania, 2014 - 2015
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Reference ID
TZA_2014_NPS-R4_v03_M
Producer(s)
National Bureau of Statistics
Metadata
DDI/XML JSON
Study website
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
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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 Category 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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