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    Home / Central Data Catalog / KHM-NIS-CSES-1997-V1 / variable [V743]
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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
327328
Downloads
2992
  • Study Description
  • Data Dictionary
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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

Province (pro)

Data file: V11_FoodPrices

Overview

Valid: 7649
Invalid: 0
Type: Discrete
Decimal: 0
Width: 16
Range: 1 - 24
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Banteay Meanchey 347
4.5%
2 Battambang 593
7.8%
3 Kampong Cham 595
7.8%
4 Kampong Chhnang 143
1.9%
5 Kampong Speu 54
0.7%
6 Kampong Thom 165
2.2%
7 Kampot 244
3.2%
8 Kandal 745
9.7%
9 Koh Kong 99
1.3%
10 Kratie 142
1.9%
11 Mondul Kiri 0
0%
12 Phnom Penh 2111
27.6%
13 Preah Vihear 0
0%
14 Prey Veng 632
8.3%
15 Pursat 204
2.7%
16 Ratanak Kiri 24
0.3%
17 Siemreap 347
4.5%
18 Sihanoukville 387
5.1%
19 Stung Treng 32
0.4%
20 Svay Rieng 157
2.1%
21 Takeo 567
7.4%
22 Oddar Meanchey 0
0%
23 Kep 61
0.8%
24 Pailin 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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