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Customized Databases

Assessment & Monitoring in Emergencies The importance of Census Data in Disaster Management 2010 World Programme on Population and housing Censuses: Workshop on Census Cartography and Management Session 12, Bangkok, 18 October 2007 Jesper Moller UNICEF East Asia and Pacific Regional Office.

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Customized Databases

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  1. Assessment & Monitoring in EmergenciesThe importance of Census Data in Disaster Management2010 World Programme on Population and housing Censuses:Workshop on Census Cartography and ManagementSession 12, Bangkok, 18 October 2007Jesper MollerUNICEF East Asia and Pacific Regional Office

  2. Challenge Milestones Standards Partnerships Tour MDG Monitoring Aid Effectiveness EmergencyInfo DevInfo.org SDMX Customized Databases More than 80 national statistics organizations and other agencies have adapted DevInfo

  3. Census Population census once every decade Surveys Periodic household surveys on various topics Records Administrative records from various government departments Challenge Milestones Standards Partnerships Tour MDG Monitoring Aid Effectiveness EmergencyInfo DevInfo.org SDMX

  4. Assessment & Monitoring in EmergenciesTools for Decision-Making Support Pre-crisis • Vulnerability Analysis and Mapping • Emergency Preparedness and Response Plans • Baseline database 48-72 hours • Initial rapid assessment (multi-sectoral) • Identify Key Humanitarian Results Areas Immediate Response Phase • Establish results based performance monitoring framework • Conduct regular humanitarian gap analysis • Sector/Cluster specific assessments • Multi-sectoral probability surveys Beyond • Evaluations

  5. Assessment & Monitoring in Emergencies

  6. Essential Pre-Crisis Data Baseline Data • Population data (census, inter-censal survey) • Annual analysis of population growth rate and livelihood changes • Housing data (census, inter-censal survey) • Livelihood data income and expenditure survey, labour force survey) NOTE: All disaggregation by age group, sex, local area level Baseline Mapping • Standardization of P-code/Area Id for all administrative levels • Other geo-spatial data (roads, rivers, facility points, topography, coastal belts, seismic zones, volcanoes, landslide belts etc) • Lowest administrative level including village/settlements • Facility Points (Health, Education, Water) A NOTE: All baseline maps must be linked to metadata

  7. INDIA 2,265,000 children

  8. Rapid data collection and reports

  9. Sri Lanka Lessons LearnedAdvantages • Rapid release of data for evidence-based planning • compared to previous assessments (3mths to 1 week) • No need for paper and data entry • faster digitization generally means faster ends • Standardization of collected data by setting input restrictions

  10. Moving forward… • Strengthened partnership between National Statistical Offices and Disaster Management Authorities • Implementation of standardized platform for data dissemination to humanitarian practitioners • Using common standards for Statistical Data Metadata Exchange (SDMX) • Using common standards for geo-spatial data and metadata • Mechanisms established for dissemination of satellite imagery of affected areas (shp file formats, e.g. extent of flood affected areas) • Regular vulnerability and risk analysis (inter-agency)

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