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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
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Created on
Oct 10, 2017
Last modified
Oct 10, 2017
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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 Category 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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