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    Home / Central Data Catalog / KHM-NIS-CSES-1997-V1 / variable [V620]
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Cambodia Socio-Economic Survey 1997

Cambodia, 1997
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Reference ID
KHM-NIS-CSES-1997-v1
Producer(s)
National Institute of Statistics
Collections
Cambodia Socio Economic Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 07, 2021
Last modified
Jan 08, 2021
Page views
323712
Downloads
2941
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • C02_Person2
  • C01_Person1
  • C03_head
  • C04_education
  • C05_EcomicActivity1
  • C06_EcomicActivity2
  • C07_EcomicActivity3
  • C08_Health
  • C09_HousingEnvirnment
  • C10_HouseholdFood
  • C11_HouseholdNFood
  • C12_Household1
  • C13_Household2AssetLiability
  • C14_Household3AnimalFishLoan
  • C15_Household4LoanDetail
  • C16_Household5Fertility
  • C17_Household6Child24Months
  • S01_CurrentSchoolAttendance
  • S02_SchoolingCosts
  • S03_DistanceToSchool
  • S04_Health1
  • S05_Health2
  • S06_Health3Hospital
  • S07_Health4HospitalDetail
  • V01_Demography
  • V02_EconomyInfrastructure
  • V03_Education1
  • V04_Education2
  • V05_Education3
  • V06_Education4
  • V07_Education6
  • V08_Education7
  • V09_Education8
  • V10_Health
  • V11_FoodPrices
  • V12_NFoodPrices
  • V13_MedicinePrices
  • V14_DailyWagesRates
  • V15_NaturalDisasters

What are the Third most important problem with primary schooling in this village (p5q39c)

Data file: V05_Education3

Overview

Valid: 394
Invalid: 80
Minimum: 1
Maximum: 11
Mean: 6.206
Standard deviation: 2.262
Type: Discrete
Decimal: 0
Width: 39
Range: 1 - 11
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 No school 7
1.8%
2 Too far 8
2%
3 Poor school building(e.g., no roof) 13
3.3%
4 Living standard of teachers is too low 60
15.2%
5 School budget constraint 84
21.3%
6 Not enough places/desks 54
13.7%
7 Not enough supplies 85
21.6%
8 Poor quality of teachers 8
2%
9 not enough teachers 28
7.1%
10 Classes not held regularly 29
7.4%
11 Other(specify) 18
4.6%
Sysmiss 80
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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