Food Security and Nutrition Analysis Unit Somalia Data from Conflict- Affected Areas - Filling in the Blanks June 10 th 2011 EUROPEAN COMMISSION Swiss Agency for Development SDC Fostering conflict data synergies – combining types and sources
Jan 14, 2016
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