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MDG Data at Sub-national Level: The Experiences of Cambodia

MDG Monitoring Workshop. MDG Data at Sub-national Level: The Experiences of Cambodia. Bangkok, Thailand, 14-16 January 2009. Lay Chhan National Institute of Statistics (NIS) Cambodia. Outline. Background Objective Key Data Sources for MDG Monitoring Challenges. Background.

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MDG Data at Sub-national Level: The Experiences of Cambodia

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  1. MDG Monitoring Workshop MDG Data at Sub-national Level: The Experiences of Cambodia Bangkok, Thailand, 14-16 January 2009 Lay Chhan National Institute of Statistics (NIS) Cambodia

  2. Outline • Background • Objective • Key Data Sources for MDG Monitoring • Challenges

  3. Background • 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

  4. Objective • 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

  5. Key data sources for MDG at sub-national level (1) • Administrative records • Health Information System (HIS) • Education Management Information System (EMIS) • Commune Database System (CDBS) • etc. • Census • Population Census • 1998 • 2008

  6. Key data sources for MDG at sub-national level (2) • 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)

  7. Health Post Example 1: HIS (MCH, TB, Malaria) MOH/DPHI (HIS) National Level • Data availability • - Immunization register • - Birth spacing register • - Delivery register • - Laboratory register • Hospitalization register • TB survey • etc. Provincial Health Department Provincial Level • Data availability • - Immunization register • - Birth spacing register • - Delivery register • - Laboratory register • Hospitalization register • TB survey • etc. Operational District Office District Level Health Center Referral Hospital

  8. Example 2: EMIS (Primary and secondary enrollment ) • 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

  9. Example 3: Commune Database System • 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

  10. Example 4: Cambodia Socio-Economic Survey (CSES) • 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.)

  11. Example 5: National Surveillance System (HIV/AIDS & STDs) • 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

  12. Key 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

  13. Thank you very much for your attention!

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