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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / KHM_2008_CSES_V01_EN_M_V01_A_OCS / variable [F91]
agricultural-surveys

Cambodia Socio-Economic Survey 2008

Cambodia, 2008
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Reference ID
KHM_2008_CSES_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 14, 2021
Last modified
Apr 14, 2021
Page views
16967
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • areainformation
  • Diary1_diaryincome
  • Diary2_diaryexpenditure
  • S01-17_hhotherinfo
  • S01A_hhmembers
  • S01B_hhfoodconsumption
  • S01C_hhrecallnonfood
  • S02_personeducation
  • S04_hhhousing
  • S05A_hhlandownership
  • S05B_hhproductioncrops
  • S05C_hhcostcultivationcrops
  • S05D_hhinventorycrops
  • S05E1_hhlivestock1
  • S05E2_hhlivestock2
  • S05F1_hhfishcultivation1
  • S05F2_hhfishcultivation2
  • S05F3_hhfishcultivation3
  • S05G_hhforestryhunting2
  • S05G2_hhforestryhunting1
  • S05H1_hhnonagriculture1
  • S05H2_hhnonagriculture2
  • S05H3_hhnonagriculture3
  • S06_hhliabilities
  • S07_hhincomeothersource
  • S08_hhconstruction
  • S09_hhdurablegoods
  • S10_personchildcare
  • S13A_personecoactivity
  • S13B_personmainoccupation
  • S14A_personillness
  • S17_personpresence
  • weighthouseholds
  • weightpersons

Why not attending (never attended) school (q02c11)

Data file: S02_personeducation

Overview

Valid: 996
Invalid: 14260
Minimum: 1
Maximum: 9
Mean: 5.579
Type: Discrete
Decimal: 0
Start: 31
End: 31
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Literal question
Why not attending (never attended) school
Categories
Value Category Cases
1 Don’t want to 185
18.6%
2 Did not do well in school 82
8.2%
3 No suitable school available/school is too far 36
3.6%
4 No teacher/Supplies 19
1.9%
5 High cost of schooling/No money 11
1.1%
6 Must contribute to household income 222
22.3%
7 Must help with household chores 151
15.2%
8 Due to disability/illness 30
3%
9 Other (specify) 260
26.1%
Sysmiss 14260
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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