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    Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M / variable [F33]
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
236871
Downloads
104398
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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

From which ID_DISTRICT did you move? - ID_REGION (hh_b27_2)

Data file: hh_sec_b

Overview

Valid: 5820
Invalid: 10465
Minimum: 1
Maximum: 55
Type: Discrete
Decimal: 0
Start: 123
End: 124
Width: 2
Range: 1 - 55
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 dodoma 176
3%
2 arusha 71
1.2%
3 kilimanjaro 158
2.7%
4 tanga 153
2.6%
5 morogoro 188
3.2%
6 pwani 105
1.8%
7 DAR ES SALAAM 1091
18.7%
8 lindi 133
2.3%
9 mtwara 155
2.7%
10 ruvuma 111
1.9%
11 iringa 90
1.5%
12 mbeya 162
2.8%
13 singida 139
2.4%
14 tabora 311
5.3%
15 rukwa 64
1.1%
16 kigoma 136
2.3%
17 shinyanga 287
4.9%
18 kagera 244
4.2%
19 mwanza 386
6.6%
20 mara 127
2.2%
21 manyara 78
1.3%
22 njombe 75
1.3%
23 katavi 51
0.9%
24 simiyu 268
4.6%
25 geita 156
2.7%
51 KASKAZINI UNGUJA 69
1.2%
52 KUSINI UNGUJA 76
1.3%
53 MJINI/MAGHARIBI UNGUJA 512
8.8%
54 KASKAZINI PEMBA 125
2.1%
55 KUSINI PEMBA 123
2.1%
Sysmiss 10465
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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