tendayi kureya t [email protected]

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Piloting the Household Vulnerability Index to Improve Targeting in WVI programmes in Lesotho, Swaziland and Zimbabwe Tendayi Kureya [email protected] FANRPAN Stakeholders Regional Policy Dialogue and AGM Theme: Regional Strategies for Addressing the Global Food Crisis Crossroads Hotel, Lilongwe, Malawi Date: 1-5 September 2008

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Piloting the Household Vulnerability Index to Improve Targeting in WVI programmes in Lesotho, Swaziland and Zimbabwe. Tendayi Kureya t [email protected] FANRPAN Stakeholders Regional Policy Dialogue and AGM Theme: Regional Strategies for Addressing the Global Food Crisis - PowerPoint PPT Presentation

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Page 1: Tendayi Kureya t endayi@developmentdata.co.zw

Piloting the Household Vulnerability Index to Improve Targeting in WVI programmes in

Lesotho, Swaziland and Zimbabwe

Tendayi [email protected]

FANRPAN Stakeholders Regional Policy Dialogue and AGMTheme: Regional Strategies for Addressing the Global Food Crisis

Crossroads Hotel, Lilongwe, MalawiDate: 1-5 September 2008

Page 2: Tendayi Kureya t endayi@developmentdata.co.zw

StructureGoal and Objectives of the projectThe journey so farAbout the HVI and HVI-WVI data

collection toolsAnticipated outputsPartnerships

Page 3: Tendayi Kureya t endayi@developmentdata.co.zw

The HVI pilot project In February 2008, WVI in partnership with FANRPAN

agreed to conduct operational research in Swaziland, Lesotho and Zimbabwe to evaluate the applicability of the HVI in WVI’s development programmes.

The goal of the project is to:

apply the Household Vulnerability Index (HVI) to Improve Targeting in Food Aid Transfers in three pilot Area Development Programmes in Lesotho, Swaziland and Zimbabwe.

Page 4: Tendayi Kureya t endayi@developmentdata.co.zw

Objectives of the pilot project To develop and populate a comprehensive

household vulnerability database in three ADPs in Lesotho, Swaziland and Zimbabwe.

To analyse household vulnerability in these areas by computing HVIs and ranking households on a vulnerability basis; and use this information to inform intervention programmes

To assess the requirements for full institutionalization of the HVI tool and database in WVI programmes.

Page 5: Tendayi Kureya t endayi@developmentdata.co.zw

The journey so far.. Approach: The project is longitudinal in nature,

with a minimum of two years required (Up to March 2010).

Preliminary country assessments were made in February 2008

The project was launched at the visioning workshop in Swaziland in May 2007

The study is divided into two phases with the first phase (March 2008-Feb 2009) being a dry run of the HVI that will involve its customization for WV systems.

Page 6: Tendayi Kureya t endayi@developmentdata.co.zw

The journey so far.. The second phase (March 2009-Feb 2010) will

focus on critical factors for continued use of the HVI, i.e. the frequency of updating information which is intricately connected to the cost, and ensuring integration and use of HVI in WVI work.

A methodology workshop to equip the project driving team was held in Lesotho in August 2007.

Data collection in the 3 countries will commence in Swaziland in September 2008 and end in Zimbabwe in April 2008.

Page 7: Tendayi Kureya t endayi@developmentdata.co.zw

What is the HVI? The HVI is a measure that was developed by

FANRPAN to measure vulnerability of households and communities to impacts of both internal and external shocks e.g. HIV/AIDS, poverty, etc.

The model adopted the SLF and assesses all the five livelihood assets in a household

The result, HVI, can be used to categorize households into three levels of vulnerability, i.e., coping, acute and emergency households.

Page 8: Tendayi Kureya t endayi@developmentdata.co.zw

HVI Data Collection Tools HVI data collection tools adapted to meet the different

types of interventions that WVI implements will be as follows:

Form A: A general household data card will capture information that almost all interventions will need to know about a household before planning an intervention. This form will be for all households in an ADP.

Form Bs: Intervention-specific data cards that will capture information that a particular intervention will need to know about a household or beneficiary other than that already collected by Form A.

Page 9: Tendayi Kureya t endayi@developmentdata.co.zw

HVI Data Collection Tool (ctd) Form C: A generic intervention-specific data card that

will capture information that a new particular intervention will need to know about a household or beneficiary. This tool will be used for those unique interventions that are not mainstream for ADPs.

Form D: A semi-static data card that will capture information at the ADP level. Information will be on general ADP profile data such as location, contact details, soils, geography, socio-economics and administrative boundaries.

All these forms will be linked to each other by use of a carefully developed ID system.

Page 10: Tendayi Kureya t endayi@developmentdata.co.zw

Database StructureSo how will all these tools be linked?

Form B2: FFW/HH

Form C: Intervention XForm B1: SFP

FORM A and D data cards

The areas of intersection will indicate which households/individuals have benefited from the intersecting interventions. A graduation system for beneficiaries is thus possible.

Page 11: Tendayi Kureya t endayi@developmentdata.co.zw

Database analysis and reporting

A: General:

Contextual: Physical and environmental information, Key features and trends, Political, Social, Economic, Ecological, Infrastructure, Institutions

Community Level: Social differentiation, Socio-political considerations, Institutional types, Spatial considerations, Livelihood systems

Household Level: Livelihood resources: Physical, Natural, Social, Economic, Human

Intra-household Level: Gender, Generational

The following analysis will be generated from the database:

Page 12: Tendayi Kureya t endayi@developmentdata.co.zw

Database analysis and reporting

B: Basic analysis embedded within the database

Household vulnerability indices (HVI) as food security proxy nutritional status, health status, education, poverty indicators (income, assets, social network)

Vulnerability: Dynamic perspectives, Trends in household dynamics, Trends in livelihood strategies,

Current vulnerability (snapshot) of individuals that are vulnerable

Page 13: Tendayi Kureya t endayi@developmentdata.co.zw

Database analysis and reportingC: Programme design tools embedded within the database

Tweaking for sensitivity of HVI computations

Distribution lists for households/individuals that meet set HVI criteria

Comparison of HVI to community ranking or other targeting tools for checking for errors of inclusion or exclusion

Sampling for monitoring and evaluation (including for both beneficiaries and non- beneficiaries if required).

Page 14: Tendayi Kureya t endayi@developmentdata.co.zw

Support….. The database will have an integrated analysis

programme, manual and help facility. Each data collection tool will come with an

interview guide and a training for the initial set of enumerators.

An online (web) version of the tool and discussion forum already developed, will be used to keep all stakeholders updated.

Page 15: Tendayi Kureya t endayi@developmentdata.co.zw

Anticipated outputsEstablished partnerships – Research

institutions, government and CSOsEvidence base for policyImproved targetingCommunity participationIntegrationPrioritizingImpact assessment

Page 16: Tendayi Kureya t endayi@developmentdata.co.zw

Partnerships Partnerships that will be established

during the course of the project will be with the following institutions:Universities in the three countriesLocal government offices in ADPsGovernment –Ministries of Agriculture,

Health, EnvironmentOther implementing organizations

Page 17: Tendayi Kureya t endayi@developmentdata.co.zw

Thank you,