Disasters, CRVS and the importance of statistics, health and privacy Pacific Civil Registrars Disaster Preparation and Response Workshop 2-4 October 2017, Suva, Fiji

Current CRVS status in Asia and the Pacific Far from universal birth registration, in particular among vulnerable groups ID systems are sometimes being implemented in parallel Low rates of death registration Only a few countries have complete data on causes of death Vital statistics is rarely produced based on CR data So in order for CRVS to be useful in DRR, systems need improvements

Knowing who is affected National disaster management agency rely on multiple sources of information on where people live Registration data/population registers Census data Other administrative data Other surveys Needed for planning response and disaster risk analysis Importance of strengthening existing systems instead of creating new parallel systems (that ALSO need updating) Benefits of CRVS if well functioning –continuous, up to date Census every 10 years Specialised surveys may be even less frequent Having a complete picture of where people live can help determine populations/socioeconomic vulnerabilities of populations most at risk.

WHO are the dataholders? Micro level data on individuals requires a large focus on privacy Who protects the data? Who has access, why and when?

Statistics on vital events Usual source of quick counts of deaths or missing after a disaster occurrence is the national disaster management agency Implications for registration of events –needed more during disasters –are procedures in place to upscale when the need arise ? Who is responsible for the official numbers? How are these cross checked? An interesting of bullet point two is after the Nepal earthquake in 2015, the number of children trafficked increased substantially. Registration can help ensure that the most vulnerable are protected.

Health indicators and disasters Who determines the cause of deaths during disasters and how is this verified, legalized? ICD-10 cannot be used for identifying disaster related deaths unless other information is added But dramatic changes from baselines following disasters can be identified (i.e. deaths from measles)

Improving statistics on disasters The Disaster-Related Statistics Framework (DRSF) is currently being developed by an expert group led by ESCAP Reporting template was needed by

DRAFT OUTLINE of the The Disaster-Related Statistics Framework 1) Introduction Executive Summary Scope and Coverage of DRSF The need, objectives of international methodological Guidance Stock-taking & relationships with other frameworks 2) Main concepts and related frameworks Identifying and counting disaster occurrences and magnitude Disaster Risk Material Impacts and Economic Loss Affected Population Disaster risk reduction activities 3) Statistical Classifications and Definitions in DRSF Hazard type Direct material impacts classification Disaster risk reduction characteristic activities 4) Principles for Implementation Statistical coordination, Metadata and Dissemination 5) DRSF Data Items: Basic Range of Disaster related statistics 6) Data Sources and Strategy for Data Collection 7) Research Agenda 8) Annex of references, links to good practices, …etc.

Want to know more? Ministerial Declaration and Regional Action Framework www.unescap.org/resources/asian-and-pacific-civil-registration-and-vital-statistics-decade-2015-2024 Overview of the current situation in Asia and the Pacific www.unescap.org/sites/default/files/E72_22E.pdf Asia-Pacific Expert Group on Disaster Related Statistics http://communities.unescap.org/asia-pacific-expert-group-disaster-related-statistics/drsf

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