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    Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M_V03_A_EXT / variable [F191]
lsms

National Panel Survey 2014-2015
Wave 4 - Extended Panel

Tanzania, 2013 - 2016
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Reference ID
TZA_2014_NPS-R4_v03_M_v03_A_EXT
DOI
https://doi.org/10.48529/hd8h-s870
Producer(s)
National Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 20, 2019
Last modified
Dec 14, 2022
Page views
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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
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  • ag_sec_10
  • ag_sec_11
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  • ag_sec_a
  • com_sec_a1a2
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  • hh_filters
  • hh_sec_b
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  • hh_sec_d
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  • hh_sec_f
  • hh_sec_g
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  • hh_sec_i
  • hh_sec_j1
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  • hh_sec_k
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  • lf_filters
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  • lf_sec_01
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  • 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
  • hh_sec_a
  • consumptionnps4_extended_panel

What type of 1ST health provider did [NAME] visit? (hh_d03_1)

Data file: hh_sec_d

Overview

Valid: 968
Invalid: 3774
Minimum: 1
Maximum: 17
Type: Discrete
Decimal: 0
Start: 15
End: 16
Width: 2
Range: 1 - 17
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 GOV PARASTATAL REFERRAL/SPEC HOSP 18
1.9%
2 GOV PARASTATAL REGIONAL HOSPITAL 25
2.6%
3 GOV PARASTATAL DISTRICT HOSPITAL 90
9.3%
4 GOV PARASTATAL HEALTH CENTER 93
9.6%
5 GOV PARASTATAL DISPENSARY 227
23.5%
6 GOV PARASTATAL VILLAGE HEALTH POST (WORKER) 7
0.7%
7 GOV PARASTATAL CBD WORKER 0
0%
8 RELIGIOUS/VOLUNTARY REFERRAL/SPEC 4
0.4%
9 RELIGIOUS/VOLUNTARY DISTRICT HOSPITAL 4
0.4%
10 RELIGIOUS/VOLUNTARY HEALTH CENTER 27
2.8%
11 RELIGIOUS/VOLUNTARY DISPENSARY 33
3.4%
12 PRIVATE SPECIALISED HOSP 17
1.8%
13 PRIVATE HEALTH CENTER 34
3.5%
14 PRIVATE DISPENSARY 108
11.2%
15 OTHER PHARMACY 260
26.9%
16 ngo 3
0.3%
17 OTHER (SPECIFY) 18
1.9%
Sysmiss 3774
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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