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    Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M / variable [F73]
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
236508
Downloads
104395
  • Study Description
  • Data 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

Region Name (lf_a01_2)

Data file: lf_sec_a

Overview

Valid: 1443
Invalid: 0
Type: Discrete
Start: 12
End: 27
Width: 16
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ARUSHA 62
4.3%
DAR ES SALAAM 72
5%
DODOMA 41
2.8%
GEITA 54
3.7%
IRINGA 38
2.6%
KAGERA 107
7.4%
KASKAZINI PEMBA 14
1%
KASKAZINI UNGUJA 13
0.9%
KATAVI 24
1.7%
KIGOMA 56
3.9%
KILIMANJARO 84
5.8%
KUSINI PEMBA 5
0.3%
KUSINI UNGUJA 6
0.4%
LINDI 29
2%
MANYARA 38
2.6%
MARA 64
4.4%
MBEYA 67
4.6%
MJINI MAGHARIBI 10
0.7%
MOROGORO 43
3%
MTWARA 59
4.1%
MWANZA 91
6.3%
NJOMBE 26
1.8%
PWANI 26
1.8%
RUKWA 15
1%
RUVUMA 27
1.9%
SHINYANGA 82
5.7%
SIMIYU 90
6.2%
SINGIDA 39
2.7%
TABORA 92
6.4%
TANGA 69
4.8%
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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