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    Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M / variable [F35]
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
428351
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  • Study Description
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  • 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

Did [NAME] have any problems during the visit to the 2ND health provider? (hh_d06_2)

Data file: hh_sec_d

Overview

Valid: 533
Invalid: 15752
Minimum: 1
Maximum: 7
Type: Discrete
Decimal: 0
Start: 35
End: 35
Width: 1
Range: 1 - 7
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 NO PROBLEMS (SATISFIED) 285
53.5%
2 POOR BUILDING/TOOLS 13
2.4%
3 LONG WAITING TIME 24
4.5%
4 INADEQUATE TRAINED STAFF 34
6.4%
5 TOO EXPENSIVE 88
16.5%
6 LACK OF MEDICINE 74
13.9%
7 OTHER (SPECIFY) 15
2.8%
Sysmiss 15752
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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