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    Home / Central Data Catalog / LSMS / TZA_2008-2014_NPS-UPD_V01_M / variable [F1]
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
147920
Downloads
5182
  • 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

Region Name (ha_01_2)

Data file: upd4_hh_a.dta

Overview

Valid: 29250
Invalid: -
Type: Discrete
Start: 61
End: 76
Width: 16
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
14291
48.9%
ARUSHA 404
1.4%
DAR ES SALAAM 2290
7.8%
DODOMA 391
1.3%
GEITA 161
0.6%
IRINGA 425
1.5%
KAGERA 783
2.7%
KASKAZINI PEMBA 315
1.1%
KASKAZINI UNGUJA 247
0.8%
KATAVI 57
0.2%
KIGOMA 506
1.7%
KILIMANJARO 408
1.4%
KUSINI PEMBA 271
0.9%
KUSINI UNGUJA 128
0.4%
LINDI 558
1.9%
MANYARA 272
0.9%
MARA 300
1%
MBEYA 553
1.9%
MJINI MAGHARIBI 774
2.6%
MOROGORO 577
2%
MTWARA 889
3%
MWANZA 887
3%
NJOMBE 53
0.2%
PWANI 374
1.3%
RUKWA 357
1.2%
RUVUMA 527
1.8%
SHINYANGA 784
2.7%
SIMIYU 161
0.6%
SINGIDA 286
1%
TABORA 700
2.4%
TANGA 521
1.8%
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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