WFP - UGANDA EXPERIENCE - IOM

1. WFP - UGANDA EXPERIENCE - IOM VERFIFICATION / REVALIDATION2006 Northern Uganda – Gulu, Kitgum and Pader districts Nairobi- 9th-October-2006

2. BACKGROUND AND CONTEXT - 20 years of conflict in the region. - Over 150 IDP camps in districts of Gulu, Kitgum and Pader - 90% of the populations are internally displaced in camps.

3. Background continued….. • Population figures becomes a centre point upon which planning is based. • Variations in IDP population figures is evident given the dynamics of displacement.

4. Background cont….. • Last revalidation exercise was held in July 2005 was marred by malpractices. • Malpractices emanated from registration loopholes hence inflated figures. • No central database available.

5. Background cont…… • Registration and verification of IDPS is governments responsibility. • Government lacks capacity to undertake some of the roles. • WFP becomes “de facto” lead agency.

6. Background cont….. • Registration and verification within IDP conflict situation is always highly “political”. • Government wants reduce population figures and opposition leaders want high figures.

7. Overall ObjectiveTo establish a valid beneficiary caseload of IDP’s and to provide baseline population information Specific Objectives: • Identify the inclusion and exclusion errors on IDP beneficiary lists • Establish a consistent system of serial numbers on ration cards for easy identification of beneficiaries • Identify all IDP locations and places of origin

8. Objectives ctn…. • Identify the Extremely Vulnerable Individuals (EVI’s) • Establish a sealed complain system for those excluded from registration • Establish an up-to-date IDP database

9. Expected outputs • Inclusion and exclusion errors on WFP beneficiary lists identified • IDP database established • Consistent system of serial numbers on ration cards established for easy identification of beneficiaries • Extremely Vulnerable Individuals (EVI’s) identified • Population of decongested camps identified • Baseline population numbers and demographics for Northern Uganda IDPs

10. Methodology used • Door to door verification. • Enumerators will move house to house • Physical count of the members present, ink them and leave them with a coupon /band.

11. Door to door Vs Centralised Village Sys Door to door methodology • Time consuming while in the field. • Following / locating households in unplanned settlements. • Supervising the teams becomes difficult • Chances of fraud/ bribery when supervision is not done. • Double registration- after washing of ink.

12. Centralised village registration system • Easy to supervise the verification teams. • Easy to coordinate / allocate resources. • Reduced fraud / no double / multiple registration. • Local leaders help identify the populations living in the area. • Saves time and resources of the organisation.

13. Clustering of the IDP camps • WFP and partners agreed to cluster the camps in order to reduce on population movements. • Save time for the exercise. • Reduce double or multiple registrations.

14. Stakeholders: • District Local Government/ District Disaster Management Committee (DDMC) • IDP’s (Sub County Disaster Management Committee, Camp leadership, Block leaders, local councils etc) • UN Agencies, NGO’s, Army, Political leaders. • Representative from office of the president (RDC)

15. Revalidation Activities • Six (6) months of planning • Three (3) districts simultaneously involved. • Clustering the camps. • Planning meetings with different stakeholders . • Mobilization of the IDP’s population. • Field data collection – registration – 8 days. • Preliminary results count – 7 days after registration. • Data processing (entry and verification) 45 days after preliminary.

16. Revalidation Act…… • Ensure GOU ownership of results. • Recruitment and training of enumerators and supervisors. • Actual revalidation in camps, counting, on spot verifying of IDP’s and reports.

17. Roles of the stakeholders: District local government/ DDMC • Mobilization and Sensitisation • Supervise the entire exercise • Mobilise resources for the exercise • Compiling and writing final revalidation report

18. IDP's (Sub County Disaster Management Committee, Camp leadership, Block leaders etc) • Present themselves for the revalidation • Give information during the revalidation • Mobilise IDP’s for the exercise • Monitor the revalidation process-malpractices. • Assist in verification of new cases

19. UN Agencies and NGOs • Provide technical input to the process where applicable. • Provide manpower for the supervision exercise • Support with registration tools (forms), computers for data entry, database design - IOM. • Provide material or financial contributions to the exercise. • Assist in data processing and analysis – IOM.

20. Political Leaders • Mobilise the IDP’s for the exercise • Monitor the process to ensure transparency and accountability. • Ownership of the revalidation results • Verification of new caseloads ”

21. Cost of the overall revalidation • WFP spent about $200,000 USD for 1.2 million Each beneficiary costs- 0.166USD, an equivalent to 300/= Uganda shillings • In addition IOM operational contributions to data collection, data processing and management are estimated to 100,000 USD

22. Challenges encountered • Logistical coordination with transporters, army, biscuits, water allocation, field materials etc • Coordination with supervisors and enumerators and partners. • Spontaneous population movements. • Identification and management of teams during revalidation • Space, computers, network, power supply for data entry • Application design to minimize mistakes, easy to use and compatible with WFP needs

23. Data management and use. • Data collected during revalidation is entered in the database. • Data entry organized by IOM. • Database designed by IOM is based on WFP and district needs. • Data base feeds into WFP operational database to produce food needs by location • Provides baseline population and location data for cluster information management systems

24. Database • Data entry in field locations Gulu, Kitgum and Pader districts • 30 workstations on average 250 - 300 households per workstation per working day • Total data entry time 45 working days including data verification

25. Use conti….. • Provides baseline for GOU and agencies to plan for humanitarian and recovery interventions. • Provides detailed information for return process of IDP’s. • Shows location, gender, ages and places of origin of affected population. • Facilitates identification of the extremely vulnerable households for targeting.

26. The end of the presentation. ANY QUESTIONS?