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    Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M / variable [F91]
lsms

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
251547
Downloads
105276
  • Study Description
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  • Data files
  • ag_filters
  • ag_network
  • ag_sec_01
  • ag_sec_2a
  • ag_sec_2b
  • ag_sec_3a
  • ag_sec_3b
  • ag_sec_4a
  • ag_sec_4b
  • ag_sec_5a
  • ag_sec_5b
  • ag_sec_6a
  • ag_sec_6b
  • ag_sec_7a
  • ag_sec_7b
  • ag_sec_10
  • ag_sec_11
  • ag_sec_12a
  • ag_sec_12b
  • ag_sec_a
  • hh_filters
  • hh_sec_a
  • hh_sec_b
  • hh_sec_c
  • hh_sec_d
  • hh_sec_e
  • hh_sec_f
  • hh_sec_g
  • hh_sec_h
  • hh_sec_i
  • hh_sec_j1
  • hh_sec_j3
  • hh_sec_j4
  • hh_sec_k
  • hh_sec_l
  • hh_sec_m
  • hh_sec_n
  • hh_sec_o1
  • hh_sec_o2
  • hh_sec_p
  • hh_sec_q1
  • hh_sec_q2
  • hh_sec_r
  • hh_sec_s
  • hh_sec_u2
  • hh_sec_v
  • lf_filters
  • lf_network
  • lf_sec_01
  • lf_sec_02
  • lf_sec_03
  • lf_sec_04
  • lf_sec_05
  • lf_sec_06
  • lf_sec_07
  • lf_sec_08
  • lf_sec_09
  • lf_sec_11a
  • lf_sec_11b
  • lf_sec_12
  • lf_sec_13a
  • lf_sec_13b
  • lf_sec_a
  • npsy4.child.anthro
  • npsy4.ea.offset
  • LF_SEC_10
  • com_sec_a1a2
  • com_sec_cb
  • com_sec_cc
  • com_sec_cd
  • com_sec_ce
  • com_sec_cf
  • com_sec_cf_id
  • com_sec_cg
  • consumptionNPS4

1.REGION (id_01)

Data file: com_sec_cf_id

Overview

Valid: 391
Invalid: 0
Minimum: 1
Maximum: 55
Type: Discrete
Decimal: 0
Start: 2
End: 3
Width: 2
Range: 1 - 55
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 DODOMA 8
2%
2 ARUSHA 11
2.8%
3 KILIMANJARO 16
4.1%
4 TANGA 12
3.1%
5 MOROGORO 13
3.3%
6 PWANI 7
1.8%
7 DAR ES SALAAM 67
17.1%
8 LINDI 10
2.6%
9 MTWARA 18
4.6%
10 RUVUMA 9
2.3%
11 IRINGA 10
2.6%
12 MBEYA 11
2.8%
13 SINGIDA 7
1.8%
14 TABORA 18
4.6%
15 RUKWA 5
1.3%
16 KIGOMA 14
3.6%
17 SHINYANGA 10
2.6%
18 KAGERA 22
5.6%
19 MWANZA 18
4.6%
20 MARA 11
2.8%
21 MANYARA 8
2%
22 NJOMBE 5
1.3%
23 KATAVI 7
1.8%
24 SIMIYU 15
3.8%
25 GEITA 11
2.8%
51 KASKAZINI UNGUJA 6
1.5%
52 KUSINI UNGUJA 3
0.8%
53 MJINI/MAGHARIBI UNGUJA 29
7.4%
54 KASKAZINI PEMBA 6
1.5%
55 KUSINI PEMBA 4
1%
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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