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 UNICEF put emphasis on the importance of well established mechanisms for planning, monitoring and evaluation to effectively deliver high quality services and advocacy for the rights of children and women Support to NSO in the implementation of surveys (MICS) Number of countries UNICEF have supported the enhancements of Census Questionnaires to adequately cover issues related to the rights of children and women In Emergencies knowing where people live (pre and post crisis) are recognized as the most fundamental dataset for determining any humanitarian response UNICEF remains fully committed to continue capacity building in the are of information management

Customized Databases Challenge Milestones Standards Partnerships Tour MDG Monitoring Aid Effectiveness EmergencyInfo DevInfo.org SDMX UNICEF have supported more than 80 national statistics organizations in the adaptation DevInfo for effective dissemination of national and sub-national statistics This simple inter-face makes data widely available to development and humanitarian practitioners through off-line and on-line tools for presentation of data for decision-making support Customized Databases More than 80 national statistics organizations and other agencies have adapted DevInfo

Census Surveys Records Challenge Population census once every decade Milestones Standards Surveys Periodic household surveys on various topics Partnerships Tour MDG Monitoring Records Administrative records from various government departments Aid Effectiveness EmergencyInfo DevInfo.org SDMX Improving Quality of Data Dissemination by implementing data standards Population censuses are comprehensive and provide a wealth of social and economic information for the entire population. Surveys are conducted more frequently than censuses ----- they target a sample of respondents and focus on specific topics such as health or education. Routine data from administrative records provide data on a frequent basis but there are problems in both access and data quality. Implementing international standards for statistical data and metadata will offer data users with well-documented data and enhance the quality of data analysis for evidence based policy planning

Assessment & Monitoring in Emergencies Tools 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

Assessment & Monitoring in Emergencies

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 Key Issues Timely Access to data Widely disseminated to all humanitarian stakeholders Provide authoritative data standards for information management purposes (geo-codes)

INDIA Example of presentation using latest available Census data Total population 0-6 years affected within a radius of 20 KM from the coast Presentation tools available to all using common demographic baseline 2,265,000 children 8

Rapid data collection and reports Lets see how EmergencyInfo helps bridge the information gap in the event of an emergency. Data can be collected from multiple affected areas using rapid assessment forms to assess the situation. The forms can capture data on various sectors such as health, nutrition, education and environment. These forms are available as EmergencyInfo templates in XML format which can be used to capture data using hand-held computers or PDAs. The raw data can then be imported into EmergencyInfo to analyze the situation and create reports using the EmergencyInfo wizards to generate tables, graphs and maps. The format of a standard situation report (or SITREP) can be saved and easily re-used by a wide group of emergency personnel to provide consistent and regular updates on changes in the emergency situation.

Sri Lanka Lessons Learned Advantages 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

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)