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    Home / Central Data Catalog / LSMS / MWI_2010_IHS-III_V01_M / variable [F40]
lsms

Third Integrated Household Survey 2010-2011

Malawi, 2010 - 2011
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Reference ID
MWI_2010_IHS-III_v01_M
DOI
https://doi.org/10.48529/w1jq-qh85
Producer(s)
National Statistical Office (NSO)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 01, 2012
Last modified
Jan 30, 2020
Page views
909284
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  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • HH_MOD_A_FILT
  • HH_MOD_B
  • HH_MOD_C
  • HH_MOD_D
  • HH_MOD_E
  • HH_MOD_F
  • HH_MOD_G1
  • HH_MOD_G2
  • HH_MOD_G3
  • HH_MOD_H
  • HH_MOD_I1
  • HH_MOD_I2
  • HH_MOD_J
  • HH_MOD_K
  • HH_MOD_L
  • HH_MOD_M
  • HH_MOD_N1
  • HH_MOD_N2
  • HH_MOD_O
  • HH_MOD_P
  • HH_MOD_Q
  • HH_MOD_R
  • HH_MOD_S1
  • HH_MOD_S2
  • HH_MOD_T
  • HH_MOD_U
  • HH_MOD_V
  • HH_MOD_W
  • HH_MOD_X
  • AG_MOD_A_FILT
  • AG_MOD_B
  • AG_MOD_C
  • AG_MOD_D
  • AG_MOD_E
  • AG_MOD_F
  • AG_MOD_G
  • AG_MOD_H
  • AG_MOD_I
  • AG_MOD_J
  • AG_MOD_K
  • AG_MOD_L
  • AG_MOD_M
  • AG_MOD_N
  • AG_MOD_O
  • AG_MOD_P
  • AG_MOD_Q
  • AG_MOD_R1
  • AG_MOD_R2
  • AG_MOD_S
  • AG_MOD_T1
  • AG_MOD_T2
  • AG_NETWORK
  • FS_MOD_B_FILT
  • FS_MOD_C
  • FS_MOD_D1
  • FS_MOD_D2
  • FS_MOD_D3
  • FS_MOD_E1
  • FS_MOD_E2
  • FS_MOD_F1
  • FS_MOD_F2
  • FS_MOD_G
  • FS_MOD_H1
  • FS_MOD_H2
  • FS_MOD_H3
  • FS_MOD_I1
  • FS_MOD_I2
  • FS_MOD_J1
  • FS_MOD_J2
  • COM_CA
  • COM_CB
  • COM_CC
  • COM_CD
  • COM_CE
  • COM_CF
  • COM_CG1
  • COM_CG2
  • COM_CH
  • COM_CI
  • COM_CJ
  • COM_CK
  • HouseholdGeovariables
  • PlotGeovariables
  • Round 1 (2010)
    Consumption
    Aggregate
  • ihs3fc2M_consumption

During those weeks,how many days did each HH member work per week?(ID CODE #1) (ag_k44c)

Data file: AG_MOD_K

Overview

Valid: 1569
Invalid: 12017
Type: Discrete
Decimal: 0
Start: 615
End: 615
Width: 1
Range: 1 - 8
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 134
8.5%
2 202
12.9%
3 219
14%
4 244
15.6%
5 243
15.5%
6 488
31.1%
7 38
2.4%
8 1
0.1%
Sysmiss 12017
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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