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![Page 1: MDG Data at Sub-national Level: The Experiences of Cambodia Bangkok, Thailand, 14-16 January 2009 MDG Monitoring Workshop Lay Chhan National Institute.](https://reader036.fdocuments.in/reader036/viewer/2022082820/56649e535503460f94b49733/html5/thumbnails/1.jpg)
MDG Data at Sub-national Level: MDG Data at Sub-national Level: The Experiences of Cambodia The Experiences of Cambodia
Bangkok, Thailand, 14-16 January 2009
MDG Monitoring Workshop
Lay ChhanLay ChhanNational Institute of Statistics (NIS)Cambodia
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OutlineOutline
Background Objective Key Data Sources for MDG
Monitoring Challenges
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BackgroundBackground
Cambodia adapted global MDGs in September 2000 and localized in 2003 with a comprehensive consultation have been made through “National Poverty Forum”, including public sector, private sector, civil society and other international organizations
CMDGs sets a clear target base periodic of every five year 2005 and 2015. In addition to 48 global indicators, over 100 CMDG indicators are included
Sub-national and gender-based coverage have been identifies for MDG monitoring
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ObjectiveObjective
Identify specific target population to allow for policy decision-making and programming
Allow government and development partners to identify budget allocation and package programs
Encourage local base civil society organizations engagement and development
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Administrative recordsAdministrative records Health Information System (HIS) Education Management Information
System (EMIS) Commune Database System (CDBS) etc.
CensusCensus Population Census
• 1998• 2008
Key data sources for MDG at sub-Key data sources for MDG at sub-national level (1)national level (1)
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National sample surveys Cambodia Socio-Economic Survey (CSES) Cambodia Demographic and Health Survey
(CDHS) Cambodia Inter-Censal Population Survey
(CIPS) Labor Force Survey of Cambodia (LFS)
Ad hoc surveys HIV Sentinel Surveillance (HSS) Behavioral Sentinel Surveillance (BSS) STI Sentinel Surveillance (SSS)
Key data sources for MDG at sub-Key data sources for MDG at sub-national level (2)national level (2)
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Example 1: HIS (MCH, TB, Malaria)Example 1: HIS (MCH, TB, Malaria)
Provincial Level Provincial Level Provincial Level Provincial Level
Data availabilityData availability- Immunization register- Birth spacing register- Delivery register- Laboratory register- Hospitalization register- TB survey- etc.
MOH/DPHIMOH/DPHI(HIS)(HIS)
Provincial Provincial Health Health DepartmentDepartment
Operational Operational District OfficeDistrict Office
Referral Referral HospitalHospital
Health Health CenterCenter
Health Health PostPost
District Level District Level District Level District Level
National Level National Level National Level National Level
Data availabilityData availability- Immunization register- Birth spacing register- Delivery register- Laboratory register- Hospitalization register- TB survey- etc.
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Data items collected through the school census Primary Secondary Tertiary/technical and vocational training
Administrative units classification included School mapping School cluster Province District
Area classification Urban Rural Remote
Gender and age group Disadvantage group
Disabled students Migrant family/pro-poor family Orphan
Example 2: EMIS (Primary and Example 2: EMIS (Primary and secondary enrollment ) secondary enrollment )
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Example 3: Commune Database Example 3: Commune Database SystemSystem
Commune database system Nationwide coverage, totally 1,621 communes Contains basic socio-economic data collected
at village level, for example:• Data on birth, infant mortality and death;• Family planning, maternal and child health; • Water and sanitation;• Labor force and employment; and• Other related basic information for most MDG
indicators Database is managed by Provincial
Department of Planning and Statistics
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CSES was conducted since 1993/94 by National Institute of Statistics, which is a large scale sample survey with a regular basis of every five year
CSES (a light scale survey) is conducted annually from 2007
CSES contains a lot of data for most MDG indicators and allows the represent of data by provinces and regions and population sub-groups: Ecological zone/group of provinces (Plain, Tonle Sap
lake, Coastal and Mountain and Forest ) Type of area (Phnom Penh, Urban and Rural) Provinces/municipalities Socio-economic groups (gender, ethnicity, income
groups, etc.)
Example 4: Cambodia Socio-Example 4: Cambodia Socio-Economic Survey (CSES)Economic Survey (CSES)
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Within this system, the National Center for HIV/AIDS, Dermatology and STDs (NCHADS) play a leading role in conducting of three surveys that are repeated on a regular basis (HSS, BSS and SSS) to monitor HIV/AIDS in Cambodia:
Data such as HIV prevalence, condom use and access to prevention programs were grouping as follow: Sector (urban/rural) Gender and age group At most risk population groups (MSM, IDU and direct
and indirect female sex workers ) At risk population groups (Military, Police and Motor-
taxi drivers) Pregnant women attending ANC
Example 5: National Surveillance Example 5: National Surveillance System (HIV/AIDS & STDs)System (HIV/AIDS & STDs)
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Key challengesKey challenges
Lack of data for most indicators at sub-national level
Lack of capability/statistical literacy at local level, even as the sufficient of facilities
Limitation of quality control of data at sub-national level (data timeliness and data availability)
Lack of donors support/project-base local statistical units
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Thank you very much for your Thank you very much for your attention!attention!