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    Home / Central Data Catalog / LSMS / TZA_2010_KHDS_V01_M / variable [F5]
lsms

Kagera Health and Development Survey 2010, Wave 6

Tanzania, 2010
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Reference ID
TZA_2010_KHDS_v01_M
DOI
https://doi.org/10.48529/x11b-sx16
Producer(s)
Economic Development Initiatives
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 28, 2015
Last modified
Jan 30, 2020
Page views
104133
Downloads
19158
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • anthro
  • HH2WeekExpense
  • HHAnimProdCons
  • HHAnnualExpense
  • HHData
  • HHDurableAsset
  • HHEnterprise
  • HHEnterprise2004
  • HHEnterpriseMember
  • HHExpenditureInd
  • HHExpenditureInd2wks
  • HHFoodExpendNS
  • HHFoodExpendS
  • HHGiftLoanIn
  • HHGiftLoanOut
  • HHInheritance
  • HHInheritanceGroup
  • HHInheritanceInd
  • HHLifeEvent
  • HHLinks
  • HHLivestock
  • HHMember
  • HHMemberEE
  • HHOutsideOrg
  • HHPlot
  • HHPriceData
  • HHProdCons
  • HHSampleRecord
  • HHSeasonMonth
  • LinkIDs
  • PHHM
  • PHHMMortality
  • PHHMTimeOfDeath
  • PHHMWedding
  • PHHMWeddingPayment
  • QXOtherDescription
  • SibRoster

Level 1: Region (Region)

Data file: HHData

Overview

Valid: 3326
Invalid: 0
Minimum: 1
Maximum: 80
Type: Discrete
Decimal: 0
Start: 56
End: 57
Width: 2
Range: 1 - 86
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Dodoma 13
0.4%
2 Arusha 11
0.3%
3 Kilimanjaro 2
0.1%
4 Tanga 4
0.1%
5 Morogoro 15
0.5%
6 Pwani 4
0.1%
7 Dar es salaam 186
5.6%
8 Lindi 0
0%
9 Mtwara 0
0%
10 Ruvuma 0
0%
11 Iringa 3
0.1%
12 Mbeya 10
0.3%
13 Singida 3
0.1%
14 Tabora 12
0.4%
15 Rukwa 3
0.1%
16 Kigoma 14
0.4%
17 Shinyanga 68
2%
18 Kagera 2733
82.2%
19 Mwanza 174
5.2%
20 Mara 16
0.5%
21 Manyara 0
0%
51 Kaskazini Unguja 0
0%
52 Kusini Unguja 0
0%
53 Mjini / Magharibi Unguja 0
0%
54 Kaskazini Pemba 0
0%
55 Kusini Pemba 0
0%
80 Uganda 55
1.7%
81 Rwanda 0
0%
82 Kenya 0
0%
83 Burundi 0
0%
84 Europe 0
0%
85 USA 0
0%
86 Other Country 0
0%
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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