Transcript Assessment & Monitoring in Emergencies The importance of

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
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
Challenge
Census
Milestones
Population census once
every decade
Standards
Partnerships
Tour
Surveys
Periodic household
surveys on various topics
MDG Monitoring
Records
Aid Effectiveness
Administrative records
from various government
departments
EmergencyInfo
DevInfo.org
SDMX
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
Emergency
Immediate
Pre-Crisis
Response Phase
Increasing depth
Preparedness
data collection
Beyond the
Immediate Response
Tracking
Mulit-sectoral
Rapid
Assessment
(qualitative &
secondary
quantitative)
Early warning systems
Surveillance
Sector-specific rapid
assessments
RA Child Protection
RA Learning Spaces
Multi-sectoral survey
Follow-up survey:
Health/Nutr/
Food/WES/etc
(probability sample):
Health/Nutr/
Food/WES/etc
Periodic surveys
In-depth sector studies
Existing research/studies
(quantitative/qualitative)
Preparedness Monitoring
Sudden
onset
Performance Monitoring
1 wk
6-8 wks
3-6 mo
1 year
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
INDIA
2,265,000 children
Rapid data
collection and
reports
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)