Making headway in Data Collection For Disaster Management · 2020. 2. 5. · Making headway in Data...

Making headway in Data Collection

For Disaster Management

St. Vincent and the Grenadines

Size: 150 square miles

Population: Approx.109,000 (Census 2013)

Focused on damage to physical structures

◦ housing, roads, public buildings – hospitals, schools;

Data is collected by constituencies/political boundaries;

Agriculture data;

Data collected on family –Social Data;

Calculating losses were underestimated;

Cost used for calculating losses were often old.

Data from limited sources;

Archived newspaper articles

Local knowledge

Actual reports compiled from 2002

Data was not available to the public

2010 - Hurricane Tomas2013 Flood Christmas Eve

damage

Women, Children, Elderly, Physically challenged

Damage Assessment teams

◦ Ministry of Transport and Works (Engineers) - Civil damage

◦ Ministry of Housing (Planners) - Housing damage

◦ Ministry of Social Development - social data

The results reveled persons who are affected (socially

and physically vulnerable)

November 2016 floods

Post Disaster Needs Assessment training on the collection of social data and the disaggregating of the data

Opportunity for application of training (localized flooding in several communities

Addressing gaps as part of an inclusive national disaster management plan

More realistic calculation of damage losses;

Validation of DALA reports;

Preparation of proposals and projects for recovery –

World Bank, CDB, etc.;

Development of Social Safeguards;

Incorporating the Build Back Better concept in

redesigning damaged infrastructure.

December 23, 2013 floods Present Day

Data previously collected by

constituencies;

Presently data is proposed to be

collected by Census Districts;

Standardization of the data

collection instrument;

Development of protocols for

collection of data;