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    Home / Central Data Catalog / LSMS / TZA_2008-2014_NPS-UPD_V01_M / variable [F2]
lsms

National Panel Survey 2008-2015, Uniform Panel Dataset

Tanzania, 2008 - 2015
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Reference ID
TZA_2008-2014_NPS-UPD_v01_M
DOI
https://doi.org/10.48529/655c-x145
Producer(s)
National Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 10, 2020
Last modified
Mar 17, 2021
Page views
168645
Downloads
5957
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • upd4_hh_a.dta
  • upd4_hh_b.dta
  • upd4_hh_c.dta
  • upd4_hh_d.dta
  • upd4_hh_e.dta
  • upd4_hh_f.dta
  • upd4_hh_g.dta
  • upd4_hh_h.dta
  • upd4_hh_i1.dta
  • upd4_hh_i2.dta
  • upd4_hh_j1.dta
  • upd4_hh_j1_1.dta
  • upd4_hh_j1_2.dta
  • upd4_hh_j1_3.dta
  • upd4_hh_j1_4.dta
  • upd4_hh_j1_5.dta
  • upd4_hh_j1_6.dta
  • upd4_hh_j1_7.dta
  • upd4_hh_j3.dta
  • upd4_hh_j4.dta
  • upd4_hh_k.dta
  • upd4_hh_l.dta
  • upd4_hh_m.dta
  • upd4_hh_n.dta
  • upd4_hh_o1.dta
  • upd4_hh_o2.dta
  • upd4_hh_p.dta
  • upd4_hh_q1.dta
  • upd4_hh_q2.dta
  • upd4_hh_r.dta
  • upd4_hh_s.dta
  • upd4_hh_v.dta
  • upd4_hh_w1.dta
  • upd4_hh_w2.dta
  • upd4_hh_x1.dta
  • upd4_hh_x2.dta
  • upd4_hh_x3.dta
  • upd4_hh_y.dta
  • upd4_hh_z1.dta
  • upd4_hh_z2.dta
  • upd4_hh_z3.dta
  • UPD4_HH_J1_8.dta

From which region did [NAME] move? - ID REGION (hb_29_2)

Data file: upd4_hh_b.dta

Overview

Valid: 21527
Invalid: 62179
Minimum: 1
Maximum: 96
Type: Discrete
Decimal: 0
Start: 167
End: 168
Width: 2
Range: 1 - 96
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 DODOMA 545
2.5%
2 ARUSHA 418
1.9%
3 KILIMANJARO 1086
5%
4 TANGA 1020
4.7%
5 MOROGORO 944
4.4%
6 PWANI 814
3.8%
7 DAR ES SALAAM 1804
8.4%
8 LINDI 888
4.1%
9 MTWARA 1174
5.5%
10 RUVUMA 491
2.3%
11 IRINGA 697
3.2%
12 MBEYA 697
3.2%
13 SINGIDA 592
2.8%
14 TABORA 1031
4.8%
15 RUKWA 292
1.4%
16 KIGOMA 642
3%
17 SHINYANGA 1545
7.2%
18 KAGERA 1008
4.7%
19 MWANZA 1650
7.7%
20 MARA 587
2.7%
21 MANYARA 292
1.4%
22 NJOMBE 109
0.5%
23 KATAVI 49
0.2%
24 SIMIYU 369
1.7%
25 GEITA 209
1%
51 KASKAZINI UNGUJA 391
1.8%
52 KUSINI UNGUJA 296
1.4%
53 MJINI/MAGHARIBI UNGUJA 731
3.4%
54 KASKAZINI PEMBA 541
2.5%
55 KUSINI PEMBA 600
2.8%
96 15
0.1%
Sysmiss 62179
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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