Food Security and Nutrition Analysis

Unit Somalia

Data from Conflict- Affected Areas - Filling in the Blanks

June 10th 2011

EUROPEAN COMMISSION

Swiss Agency for Development SDC

Fostering conflict data synergies – combining types and sources

HumanitarianRelief

Recovery & RehabilitationSustainable

Development Policy

Formulation

OperationsInformation

Management

Linking Information To Action

Seasonal Food Security Analysis and ProjectionsEarly warning & Interventions

Emergency Food Security and Nutrition AssessmentEarly warning & Interventions

LivelihoodsKey Indicator Monitoring

Macro and CommunityEarly Warning, Projections

Applied ResearchUnderlying and Long-term

Dynamics

Nutrition Surveillance and Analysis

Analysis of Trends & Causes

Agriculture

Nutrition

Markets

Climate

Conflict

Livestock

Urban

Actual & Projected Food Security &

Nutrition OutcomesDescribe & Quantify

Number, location, social groups, duration through

analysis of access, availability, stability

utilization, and resilienceresilience, risk Mangmnt)

Livelihood System Effects / Causes

Describe & QuantifyAffects on Livelihood Strategies & Assets

Discrete EventAnalysis

shocks/seasonsDescribe & Quantify

(nature, magnitude, historic comp, spatial extent, affected pop., effects on livelihoods)

Analytical ProcessesAnalytical Sectors Core Analytical Activities

Meso Level Baseline Livelihoods Analysisvulnerability, hazardsLivelihood Strategies income & food sources, expenditures, coping strategiesLivelihood Assets human, natural, social, physical, and financial capitals

Macro Level Analysis: political, socio-economic, civil, institutional, historical, bio-physical, cultural…

Micro Level Analysis: Gender, hh resource allocation, care, utilization, social services…

Summary Statement

Linking Analysis to Intervention

Nutrition Situation

Classification

Communication Strategy

PersonnelManagement

Institutional Relationships

FSNAU Food Security and Nutrition Analysis System (FSNAS) Integration of Conceptual, Analytical & Operational Elements for Analyzing Food Security with a Livelihoods Approach

Integrated Phase Classification

ORGANOGRAM

The Integrated Database System (IDS)

• MySQL data platform for storing all the datasets including, nutrition, crop, livestock, imports and exports

• Uses common geographical data/units (districts, zones, livelihood zones) to integrate different sources

• Trend analysis can be conducted for data from different sources

The Integrated Database System (IDS)

Nutrition:- stored in excel sheets that are imported into the MySQL database.

Crop data:- yield, area cultivated and production estimates. Available in excel sheets dating as far back as 1995

Livestock exports:- data from official statistics in the ports of Berbera and Bossaso. Dates back since 1994 and available for camel, cattle, goats and sheep.

Cereal imports data:- source is also official port statistics, since 1999. Stored in excel sheets

Markets data:- data from more than 40 markets  available for over 50 commodities including food and a variety of non-food items important for a typical household in Somali context. Available via the web and dates as far back as 1994.

Baselines:- livelihood based datasets that define the livelihood systems of Somalia. Currently being updated. Data available internally in form of excel spreadsheets and reports

www.fsnau.org

Web Registration and Access

A web-based query interface for accessing FSNAU’s datasets; it has export facilities to MS Excel as well as dynamic graphing for selected datasets;Datasets featured include:- Market data; Livestock data; Import/Export data (Exports: camels, cattle, gum/frankincense, hides/skins, shoats | Imports: pasta, rice,

sugar, wheat flour); Crop data; Nutrition data. Currently, there are 254 registered users.

Components of the IDS

The Field Integrated Database System (FIDS)

A field based application that allows field staff to connect to the database in Nairobi remotely. Updates and synchronizes data between Nairobi and field automatically. Ensures data cleaning and validation is effected across the field and Nairobi automatically

Nutrition Situation Analysis

Integrated analysis 6 months using data from a range of

sources including:

Nutrition AssessmentsRapid MUAC assessments

HIS dataSelective Feeding Centres

Disease SurveillancePartner secondary data

Used for identifying priority area and monitoring trends

Combined IPC PopulationsJanuary – June 2011

Integrated Food Security Phase Classification

• It is a tool for classifying food security in five phases – generally food secure – chronically food insecure– acute food and livelihood crisis– humanitarian emergency– famine/humanitarian catastrophe

• The IPC is not an assessment method per se.

• It integrates information and analyses from diverse sources to classify food security according to indicators that are drawn from recognized international standards (e.g. on nutrition).

• The approach developed by FSAU is now a global interagency initiative and has been rolled out in several countries and is going through an intensive review

IPC Review ongoing over the last 2 years

– commissioned specific studies and many consultation with field and TAG

IPC Version 2 due to the coming months

www.ipcinfo.org