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    Home / Central Data Catalog / LSMS / TZA_2010_NPS-R2_V03_M / variable [F187]
lsms

National Panel Survey 2010-2011, Wave 2

Tanzania, 2010 - 2011
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Reference ID
TZA_2010_NPS-R2_v03_M
DOI
https://doi.org/10.48529/jm20-c742
Producer(s)
National Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 10, 2012
Last modified
Mar 13, 2019
Page views
414570
Downloads
35785
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • AG_SEC01
  • AG_FILTERS
  • AG_NETWORK
  • AG_SEC2A
  • AG_SEC2B
  • AG_SEC3A
  • AG_SEC3B
  • AG_SEC4A
  • AG_SEC4B
  • AG_SEC5A
  • AG_SEC5B
  • AG_SEC6A
  • AG_SEC6B
  • AG_SEC7A
  • AG_SEC7B
  • AG_SEC8A
  • AG_SEC8B
  • AG_SEC8C
  • AG_SEC09
  • AG_SEC10A
  • AG_SEC10B
  • AG_SEC10C
  • AG_SEC11
  • AG_SEC12A
  • AG_SEC12B
  • Plot.Geovariables_Y2
  • COMSEC_CA
  • COMSEC_CB
  • COMSEC_CD
  • COMSEC_CE
  • COMSEC_CF
  • COMSEC_CG
  • COMSEC_CH
  • COMSEC_CI
  • COMSEC_CJ
  • TZY2.EA.Offsets
  • FS_B1
  • FS_C1
  • FS_D1
  • FS_D2
  • FS_D3
  • FS_E1
  • FS_E2
  • FS_E3
  • FS_F
  • FS_FILTERS
  • FS_G
  • FS_H1
  • FS_H2
  • FS_H3
  • FS_I
  • FS_J1
  • FS_J2
  • FS_J3
  • FS_K1
  • FS_K2
  • FS_K3
  • FS_L
  • FS_M
  • FS_N1
  • FS_N2
  • HH_SEC_A
  • HH_SEC_B
  • HH_SEC_C
  • HH_SEC_D
  • HH_SEC_E1
  • HH_SEC_E2
  • HH_SEC_F
  • HH_SEC_FILTERS
  • HH_SEC_G
  • HH_SEC_H1
  • HH_SEC_H2
  • HH_SEC_H3
  • HH_SEC_I1
  • HH_SEC_I2
  • HH_SEC_J1
  • HH_SEC_J2
  • HH_SEC_K1
  • HH_SEC_K2
  • HH_SEC_K3
  • HH_SEC_L
  • HH_SEC_M
  • HH_SEC_N
  • HH_SEC_O1
  • HH_SEC_O2
  • HH_SEC_P
  • HH_SEC_Q
  • HH_SEC_R
  • HH_SEC_S
  • HH_SEC_U
  • HH_SEC_V2
  • TZY1.HH.Consumption
  • TZY2.HH.Consumption
  • HH.Geovariables_Y2
  • comsec_cc

Quarter of fieldwork (quarter)

Data file: TZY1.HH.Consumption

Overview

Valid: 3265
Invalid: 0
Type: Discrete
Decimal: 0
Start: 300
End: 300
Width: 1
Range: 1 - 4
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Oct-Dec 2008 879
26.9%
2 Jan-Mar 2009 742
22.7%
3 Apr-Jun 2009 642
19.7%
4 Jul-Sep 2009 1002
30.7%
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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