National Panel Survey 2008-2009, Wave 1

Tanzania, 2008 - 2009

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Reference ID

TZA_2008_NPS-R1_v03_M

DOI

https://doi.org/10.48529/hz8s-3489

Producer(s)

National Bureau of Statistics

Collection(s)

Living Standards Measurement Study (LSMS)

Metadata

Documentation in PDF DDI/XML JSON

Created on

Mar 23, 2011

Last modified

Apr 14, 2020

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260251

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SBQ27: In which district were you born?, district (sbq27district)

Data file: SEC_B_C_D_E1_F_G1_U_English_Labels

Overview

Valid: 3678

Invalid: 13031

Minimum: 11

Maximum: 999

Type: Continuous

Decimal: 0

Start: 83

End: 85

Width: 3

Range: 11 - 999

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
11	KONDOA	30	0.8%
12	MPWAPWA	14	0.4%
13	KONGWA	5	0.1%
14	DODOMA RURAL	18	0.5%
15	DODOMA URBAN	33	0.9%
16	BAHI	1	0%
21	MONDULI	24	0.7%
22	ARUMERU	41	1.1%
23	ARUSHA	28	0.8%
24	KARATU	9	0.2%
25	NGORONGORO	8	0.2%
31	ROMBO	36	1%
32	MWANGA	32	0.9%
33	SAME	46	1.3%
34	MOSHO RURAL	87	2.4%
35	HAI	40	1.1%
36	MOSHI URBAN	16	0.4%
41	LUSHOTO	53	1.4%
42	KOROGWE	36	1%
43	MUHEZA	44	1.2%
44	TANGA	33	0.9%
45	PANGANI	12	0.3%
46	HANDENI	19	0.5%
47	KILINDI	8	0.2%
48	MKINGA	9	0.2%
51	KILOSA	42	1.1%
52	MOROGORO	68	1.9%
53	KILOMBERO	17	0.5%
54	ULANGA	25	0.7%
55	MOROGORO	28	0.8%
56	MOROGORO	25	0.7%
57	MVOMERO	0	0%
61	BAGAMOYO	44	1.2%
62	KIBAHA	27	0.7%
63	KISARAWE	25	0.7%
64	MKURANGA	26	0.7%
65	RUFIJI	52	1.4%
66	MAFIA	13	0.4%
71	KINONDONI	110	3%
72	ILALA	85	2.3%
73	TEMEKE	76	2.1%
81	KILWA	44	1.2%
82	LINDI RURAL	51	1.4%
83	NACHINGWEA	24	0.7%
84	LIWALE	8	0.2%
85	RUANGWA	25	0.7%
86	LINDI URBAN	17	0.5%
91	MTWARA RURAL	30	0.8%
92	NEWALA	39	1.1%
93	MASASI	56	1.5%
94	TANDAHIMBA	33	0.9%
95	MTWARA MIKINDANI	14	0.4%
101	TUNDURU	19	0.5%
102	SONGEA RURAL	16	0.4%
103	MBINGA	11	0.3%
104	SONGEA URBAN	10	0.3%
105	NAMTUMBO	7	0.2%
111	IRINGA RURAL	37	1%
112	MUFINDI	21	0.6%
113	MAKETE	27	0.7%
114	NJOMBE	27	0.7%
115	LUDEWA	13	0.4%
116	IRINGA URBAN	15	0.4%
117	KILOLO	12	0.3%
121	CHUNYA	10	0.3%
122	MBEYA RURAL	19	0.5%
123	KYELA	7	0.2%
124	RUNGWE	34	0.9%
125	ILEJE	13	0.4%
126	MBOZI	31	0.8%
127	MBALALI	4	0.1%
128	MBEYA URBAN	8	0.2%
131	IRAMBA	37	1%
132	SINGIDA RURAL	34	0.9%
133	MANYONI	27	0.7%
134	SINGIDA URBAN	21	0.6%
141	NZEGA	31	0.8%
142	IGUNGA	26	0.7%
143	UYUI	14	0.4%
144	URAMBA	13	0.4%
145	SIKONGE	10	0.3%
146	TABORA URBAN	19	0.5%
151	MPANDA	9	0.2%
152	SUMBAWANGA	17	0.5%
153	NKASI	0	0%
154	SUMBAWANGA URBAN	7	0.2%
161	KIBONDO	27	0.7%
162	KASULU	61	1.7%
163	KIGOMA RURAL	17	0.5%
164	KIGOMA URBAN	18	0.5%
171	BARIADI	45	1.2%
172	MASWA	67	1.8%
173	SHINYANGA RURAL	44	1.2%
174	KAHAMA	42	1.1%
175	BUKOMBE	8	0.2%
176	MEATU	16	0.4%
177	SHINYANGA URBAN	30	0.8%
178	KISHAPU	39	1.1%
181	KARAGWE	21	0.6%
182	BUKOBA RURAL	41	1.1%
183	MULEBA	42	1.1%
184	BIHARAMULO	13	0.4%
185	NGARA	18	0.5%
186	BUKOBA URBAN	12	0.3%
187	CHATO	2	0.1%
188	MISENYE	6	0.2%
191	UKEREWE	35	1%
192	MAGU	45	1.2%
193	NYAMAGANA	19	0.5%
194	KWIMBA	31	0.8%
195	SENGEREMA	33	0.9%
196	GEITA	33	0.9%
197	MISUNGWI	15	0.4%
198	ILEMELA	12	0.3%
201	TARIME	35	1%
202	SENGEREMA	4	0.1%
203	MUSOMA RURAL	34	0.9%
204	BUNDA	18	0.5%
205	MUSOMA URBAN	8	0.2%
211	BABATI	29	0.8%
212	HANANG	7	0.2%
213	MBULU	17	0.5%
214	SIMANJIRO	8	0.2%
215	KITETO	7	0.2%
511	KASKAZINI ‘A’	44	1.2%
512	KASKAZINI ‘B’	44	1.2%
521	KATI	19	0.5%
522	KUSINI	17	0.5%
531	MAGHARIBI	27	0.7%
532	MJINI	64	1.7%
541	WETE	42	1.1%
542	MICHWEWENI	19	0.5%
551	CHAKECHAKE	57	1.6%
552	MKOANI	32	0.9%
960	Tanzania	0	0%
961	Angola	0	0%
962	Botswana	0	0%
963	Burundi	33	0.9%
964	Comoro	0	0%
965	Kenya	3	0.1%
966	Lesotho	0	0%
967	Malawi	7	0.2%
968	Mauritius	0	0%
969	Mozambique	8	0.2%
970	Namibia	0	0%
971	Rwanda	1	0%
972	Seychelles	0	0%
973	Somalia	0	0%
974	Swaziland	0	0%
975	South Africa	0	0%
976	Uganda	1	0%
977	Democratic Republic of Congo	0	0%
978	Zimbabwe	1	0%
979	Zambia	2	0.1%
980	Other African Countries	0	0%
981	India	0	0%
982	Pakistan	0	0%
983	Other Asian Countries	0	0%
984	Italy	0	0%
985	Finland, Norway and Sweden	0	0%
986	Great Britain	1	0%
987	Germany	0	0%
988	Other European Countries	0	0%
989	Canada	0	0%
990	USA	0	0%
991	Other Countries	0	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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