BRACE IMPACT EVALUATION: PHASE I BASELINE RESULTS Findings from Warrap and Northern Bahr el Ghazal States Juba, 7 May 2013 Cooking valantine-aegyptic (type.

Slides:



Advertisements
Similar presentations
Evaluations Kristy Myers Manager, Program Evaluations Presented by: Tom Lipetzky VP, International Programs Washington, D.C. – May 26, 2005.
Advertisements

Seasonal Assessment Training Household Economy Analysis: The Analytical Framework Livelihoods Integration Unit (LIU) Early Warning & Response Department.
Factors affecting choosing nutrition 1. Individual characteristics Age Gender State of health Mood education.
Title: Gender and Age related impact of Disability on Household Economic Vulnerability: analysis from the REVEAL study in Myanmar Introduction and Method:
1.2. Food Security Fundamentals
SOUTH SUDAN South Sudan Food Security and Livelihoods Cluster 25 th March, 2015 Juba.
BRACE IMPACT EVALUATION: PHASE II BASELINE Findings from Upper Nile and Western Bahr el Ghazal States Juba, 31 October
The Effects of Rising Food and Fuel Costs on Poverty in Pakistan Azam Amjad Chaudhry and Theresa Thompson Chaudhry.
Advanced EFSA Learning Programme Session 2.4. Situation Analysis Step 2 Food Consumption & Food Access Indicators.
PAT Terms of Trade Session 3.1. WFP Markets Learning Programme Price Analysis Training.
1 21ST SESSION OF AFRICAN COMMSION FOR AGRICULTURE STATISTICS WORKSHOPWORKSHOP HELD IN ACCRA, GHANA, 28 – 31 OCTOBER 2009 By Lubili Marco Gambamala National.
2000/2001 Household Budget Survey (HBS) Conducted by The National Bureau of Statistics.
FOOD CONSUMPTION AND EXPENDITURE PATTERNS
Food consumption analysis Food Security Indicators Training Bangkok January 2009.
The new HBS Chisinau, 26 October Outline 1.How the HBS changed 2.Assessment of data quality 3.Data comparability 4.Conclusions.
Measuring population development from social cohesion perspective by women and men according to the Census data Urve Kask Statistics Estonia.
LEARNING PROGRAMME Hypothesis testing Intermediate Training in Quantitative Analysis Bangkok November 2007.
LIU Project goal: “ To enable DPPA and partners to better understand livelihoods and coping strategies of vulnerable populations, and help them be better.
Food Consumption Scores and Food Consumption Groups Creation and Validation.
African Centre for Statistics United Nations Economic Commission for Africa Handbook on Supply and Use Table: Compilation, Application, and Good Practices.
Measurement of Agricultural Output in the Australian System of National Accounts: Methods and Issues Authors: Rick Brunton and Carol Trickett Presenter:
BRACE IMPACT EVALUATION: PHASE I BASELINE RESULTS Findings from Warrap and Northern Bahr el Ghazal States Juba, 30 May 2013.
Impacts of commercialization of crop and livestock products on women’s decision making and income management in Uganda and Malawi Jemimah Njuki, Susan.
Employment, unemployment and economic activity Coventry working age population by disability status Source: Annual Population Survey, Office for National.
Hungry Cities of the Global South 9 February 2015, University of Cape Town, South Africa Inês Raimundo Ramos Muanamoha.
Seasonal Assessment Training Incorporating Livelihood Strategies and Coping Strategies Livelihoods Integration Unit (LIU) Early Warning & Response Department.
Belg 2000 Seasonal Livelihoods Assessment: Summary of Results.
Food Access Indicators ENCAP TRAINING Bangkok January 2009.
ALTERNATIVE APPROACHES FOR NUTRITION DATA COLLECTION IN DEVELOPING COUNTRIES.
Employment, unemployment and economic activity Coventry working age population by gender Source: Annual Population Survey, Office for National Statistics.
Screen 1 of 21 Markets Assessment and Analysis Markets and Food Security LEARNING OBJECTIVES Understand basic market concepts and definitions relevant.
Final Evaluation Preliminary Findings Market-Oriented Rehabilitation of Agricultural Livelihoods (MORAL)
Advanced EFSA Learning Programme Session 3.1. Situation Analysis Step 2 Qualitative Data Analysis in EFSA.
Screen 1 of 26 Markets Assessment and Analysis Markets and Food Security LEARNING OBJECTIVES Identify the components of a typical market assessment for.
Promoting CARICOM/CARIFORUM Food Security (Project GTFS/RLA/141/ITA) (FAO Trust Fund for Food Security and Food Safety – Government of Italy Contribution)
BRACE IMPACT EVALUATION: PHASE I BASELINE RESULTS Findings from Warrap and Northern Bahr el Ghazal States Juba, 30 May 2013.
South Kordofan Interagency Rapid Food Security Assessment Presentation of findings.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
BRACE Steering Committee Meeting 9-11 January 2013 HEA Baselines for Project Monitoring and Evaluation Additional Slides.
Key Food Security Indicators Food Security Indicators Training Bangkok January 2009.
Measuring Price Differentials in Food Retailing Joseph Llobrera Gerald J. Friedman Fellow in Nutrition and Citizenship.
Session 3 Identifying Those Most at Risk of Food Insecurity During a Pandemic.
FSL Cluster Coordination meeting, 28 th November, 2013 PRELIMINARY FINDINGS OF THE EFSAs IN PIBOR, GUMRUK, KONGOR AND ACHARI.
SIMVA : AN OVERVIEW National Consultation Workshop 4 November 2011 Siem Reap, Cambodia.
Measuring impact on Household Food Security Marijke de Graaf 31 October 2012.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
IMPACT OF WATER LOGGING ON FOOD SECURITY AT KOYRA UPAZILA UNDER KHULNA DISTRICT, BANGLADESH
Copyright 2010, The World Bank Group. All Rights Reserved. Agricultural statistics part 1A Demarcation and principles Business Statistics and Registers.
17 January 2013 ACTED, Juba, South Sudan. TIMETOPIC 14:00-14:15 Participant introductions 14:15-14:45 HEA baseline – findings for Northern Bahr el Ghazal,
Bangladesh Poverty Assessment: Building on Progress Poverty Trends and Profile Dhaka, October 23 rd 2002.
WFP/Vulnerability Analysis and Mapping (VAM) 25 November 2012.
Phase I Baseline – preliminary findings from Warrap and Northern Bahr el Ghazal States Juba, 18 April 2013.
WFP/REACH CFSME (2015) KEY FINDINGS. Introduction (2) Methodology The findings outlined in this presentation are from the following data collection exercises:
SECTION 1 TEST OF A SINGLE PROPORTION
Income, Assets & Nutrition and the Cost Effectiveness of Heifer Project International Country Programs Paul Clements Western Michigan University.
AN ANALYSIS OF HOUSEHOLD EXPENDITURE AND INCOME DATA
Monika Singh University of British Columbia
Food Security Assessment of South Sudanese Refugees in White Nile
Livelihood Systems & their Vulnerability to high food prices
PEN INDIA RESEARCH Putting PEN to Paper
GLOBAL PRICE INCREASE Potential Impacts on Livelihoods
Food Security Update 28 July 2016.
Forest dependency in the Brazilian and Bolivian Amazon
Social Protection, Nutrition and Resilience
Resilience Index Measurement and analysis Model-II RIMA-II
Measurement for resilient livelihood outcomes
UNHCR compound, Juba, South Sudan 13 – 15 November 2018
Session 1.4. The EFSA Analysis Plan
Project Implementation Areas Resilience Analysis
Trade and Food Security: Trade and Employment Specialist, ILO
Presentation transcript:

BRACE IMPACT EVALUATION: PHASE I BASELINE RESULTS Findings from Warrap and Northern Bahr el Ghazal States Juba, 7 May 2013 Cooking valantine-aegyptic (type of wild food) Photo: Joseph Kuol, BRACE Assessment Assistant

S AMPLED LOCATIONS – BY LIVELIHOOD ZONE

S AMPLED LOCATIONS – BY COUNTY - LEVEL FOOD I NSECURITY

S AMPLE Sample by household level food insecurity and wealth group HOUSEHOLDSVery poorPoorMiddle/Better-offTOTAL Severely food insecure HH Non-FFA FFA Moderately food insecure HH Non-FFA FFA Food secure HH Non-FFA FFA TOTAL 2822 (66%)802 (19%)658 (15%)4282

FINDINGS

BRACE found fewer households to be severely or moderately food insecure (52%) compared to FSMS (67%) in Northern Bahr el Ghazal State BRACE also found fewer severely or moderately food insecure households in Warrap State (38%) compared to FSMS (43%) The food insecurity rating used by the FSMS has three components – food access indicator; coping strategy index; and food consumption score. BRACE was more likely to score households as having a low food access score given that data was gathered on two as opposed to three income sources. On the other hand, BRACE was more likely to give households a higher food consumption score, given that BRACE data was gathered on individual cereal and protein groups, which were added up to obtain a consumption score for each group as a whole. Different sample sizes - FSMS gathers data from on average 284 households per state, the BRACE baseline sample included 1,982 households in Northern Bahr el Ghazal State and 2,326 households in Warrap State. And perhaps difference in selection of households to interview?

F INDINGS Those who had received nothing were most likely to be food insecure (48%) Followed by all other households (42%) GFD rations range from 535 – 615 grams per person per day FFA ration is limited to 385 grams Households that received only GFD may have received several GFD rations, while households that switched to FFA would have started with GFD rations before switching to FFA ration sizes.

F INDINGS

We found that households in Northern Bahr el Ghazal were more likely to receive a poor income reliability score (56%) than households in Warrap state (50%) We found that income reliability & sustainability scores were low when comparing BRACE data with FSMS national averages BRACE data is more likely to give households a lower score because we gathered data on two income sources as opposed to three gathered by FSMS Income reliability score is part of the FSMS food security categories – these are composed by three elements: Food consumption score ( 21 to 35 is Borderline and >35 is Acceptable) Coping strategy index ( 50 to 100 is High) Food Access indicator (Poor, Medium, Good, based on percentage spent on food and reliability/sustainability of income)

F INDINGS BRACE found high reliance on natural resources in Northern Bahr el Ghazal compared to Warrap – also seen in FSMS data with even greater difference between the two states BRACE data did not detect the high reliance on sale of livestock and products reported by FSMS in Warrap FSMS also reported a higher reliance on sale of crops in Warrap – this was not seen in BRACE data

F INDINGS Reliance on a single income source – making households less resilient? Reliance on a single income source was found to be correlated with income sources that are considered most reliable and sustainable SALARIED WORK: 21.1% of households relying on salaried work had no other income source AGRICULTURAL CASUAL LABOUR: 16.3% of those relying on agricultural casual labour reported having no other source of income. LIVESTOCK SALES: 15% of households selling livestock products had no second income source TRADE OR BUSINESSES: 14.2% had no second income Reliance on a single income source correlation with less reliable income source GIFTS: Although gifts from kin were considered an unreliable source of income, 16.3% of households relying on gifts reported no secondary source of income. It may be the case that gifts or remittances from wealthier kin could be a relatively reliable income source, leaving little incentive in some cases to seek alternative sources of income.

F INDINGS Women were found to conduct most of the sale of alcohol (80%); begging (69%); and sale of natural resources (61%). Men dominated in proportion of salaried work (83%); casual construction labour (65%); and livestock sales (63%). The ratio of female to male contribution to income was 1.45:1 – hence for every two men, three women were contributing an income. Significant variation in ratio was seen when comparing wealth groups – the most even ratio was found in Poor households (1.33:1), followed by Middle/better-off households (1.43:1) and Very Poor households (1.54:1)

F INDINGS In Northern Bahr el Ghazal state, 23% of households were classified as having a borderline or poor food consumption score by BRACE compared to 36% reported by FSMS. In Warrap State, 27% were found with borderline or poor consumption score, compared to 37% reported by FSMS. The difference could be partly explained by the fact that the food consumption score awarded to households based on BRACE data, was more likely to classify households as having a more acceptable food consumption score. This was because households had been asked about individual cereal (sorghum, maize, cassava and other) and protein (meat, poultry, fish, eggs) categories which were added up in order to compare with the FSMS.

F INDINGS Households spent on average 37% of their expenditure on food, the proportion was higher in Northern Bahr el Ghazal (43%) than Warrap (34%) State. The FSMS had also found a higher proportion of expenditure on food in Northern Bahr el Ghazal (69%) than Warrap (60%). The higher proportion of food expenses recorded by the FSMS is interesting given that BRACE total expenditure did not include livelihood inputs, such as seeds, tools, labour, livestock and drugs for livestock – these items were assessed on a yearly expenditure basis to allow for disaggregation into wealth groups according the HEA framework.

F INDINGS Households in Northern Bahr el Ghazal were found to spend a slightly higher proportion of food expenditure on staples (cereals) The average share of household expenditure spent on cereal was found to be 21% in Northern Bahr el Ghazal, compared to 15% in Warrap – the overall average share was 17%. The FSMS found a similar pattern, with 41% spent in Northern Bahr el Ghazal compared to 32% in Warrap. This could be related to the fact that a much higher proportion of households in Northern Bahr el Ghazal stated market purchases as opposed to own production as their main source of staples such as maize and sorghum (see food sources).

F INDINGS Households relied in the majority of cases on markets for their food purchases – for example, on average 55% of all cereals were bought at the market. The corresponding FSMS average was 56%. Own production still accounted for a significant proportion of food sourcing in February and March, providing on average 36% of cereals. The corresponding FSMS average was 28%. Food aid was the third most commonly reported food source, accounting for 5% of all foods.

F INDINGS Significant variation between States for some foods that were more likely to be purchased in the market in Northern Bahr el Ghazal: sorghum, maize, vegetables, eggs, fish, milk and sugar

F INDINGS 50% of households were found to have used a coping strategy in the 7 days preceding the survey, fewer than the proportion reported by FSMS (57%). 33% of households in Northern Bahr el Ghazal State scored medium or high on the index based on BRACE data, while the corresponding figure for FSMS in the State was 1%. In Warrap, 31% of households surveyed by BRACE scored medium or high on the index, compared to 9% of those surveyed by FSMS. Coping strategy index could be recreated in exactly the same way using BRACE data Could be due to difference in sample size? Could be due to difference in selection of sample?

F INDINGS The most common coping strategy overall was reducing portion sizes or skipping meals – which were both used by 47% of households surveyed by BRACE in Northern Bahr el Ghazal and Warrap States and by 40% and 39% of those surveyed by FSMS in South Sudan as a whole. The BRACE survey also found that a significant proportion of households (41%) had started collecting and eating unusual amounts of wild foods for the season, a strategy which had only been reported by 13% of FSMS households. Consumption of seed stocks and sale of animals was also reported by BRACE households to a greater extent – by 24% and 19% of households compared to 6% and 7% of FSMS households respectively.

F INDINGS Coefficients a ModelUnstandardized Coefficients Standardized Coefficients tSig. 95.0% Confidence Interval for B BStd. ErrorBetaLower BoundUpper Bound 1 (Constant) Income Reliability a. Dependent Variable: Coping strategies index Coefficients a ModelUnstandardized Coefficients Standardized Coefficients tSig. 95.0% Confidence Interval for B BStd. ErrorBetaLower BoundUpper Bound 1 (Constant) Income Reliability a. Dependent Variable: Food consumption score Correlation between food security variables

F INDINGS Smaller households found more likely to be food insecure While 50% of households with 1-5 members were found to be food insecure, the corresponding figure was 35% for households with 10 or more members. The average household size in the sample was 7, with non-FFA households slightly smaller in size (7.8) than FFA households (8). Households with 1-6 members accounted for a quarter (25%) of the sample, followed by those with 7-8 members (25%), 9 members (25%) and 10 members (25%).

F INDINGS Host-headed households were overall found as likely (44%) to be severely or moderately food insecure as Returnee households across the two States. This was significantly different compared to FSMS findings for the country as a whole, where Returnee households had been identified as more likely to be severely or moderately food insecure (64%) than host households (49%). Why this difference? The BRACE sample included 418 Returnee households (10%) of total sample while 3% of the FSMS sample included Returnees (around 85 households) FSMS data also showed that female headed households were on average more likely in the country overall to be classified as food insecure (57%) compared to male headed households (48%). The same was found in BRACE data – 47% of female headed households were food insecure, compared to 38% of male headed households.

F INDINGS The FSMS reported that 46% of children under the age of two surveyed in Northern Bahr el Ghazal had experienced symptoms of malaria during the 2 weeks preceding the survey. BRACE data asked for child sickness for children aged less than 5, also over a two-week period preceding the survey. BRACE found that only 13% of children aged less than 5 surveyed in the state were reported to have had symptoms of malaria. The proportion when amongst under 5 year olds that suffered symptoms of diarrhea was also smaller than amongst under 2 year olds – 5% of <5 in Northern Bahr el Ghazal and 6% in Warrap state reported symptoms to BRACE, while the corresponding figure for <2 in FSMS was 34% and 29%. The same trend was seen for symptoms of acute respiratory infections (ARI) in Northern Bahr el Ghazal – from which 3% of <5 had suffered according to BRACE and 18% of <2 according to FSMS. In Warrap on the other hand, the FSMS incidence amongst <2 suddenly dropped to 2% - lower than the 4% of children under 5 that had been reported to BRACE.

F INDINGS According to FSMS, 89% of households in Northern Bahr el Ghazal had complained of high food prices. Households surveyed by BRACE reported this as a main shock across both Warrap (93%) and Northern Bahr el Ghazal (92%), poor road networks and long distances for food transport were identified as a possible underlying reason for this, for all border states, by the FSMS The FSMS also found livestock disease to be a particularly common complaint in Warrap State (49% of households), this was confirmed by BRACE data where 82% of Warrap households complained of livestock disease, compared to 66% in Northern Bahr el Ghazal.

T HANK YOU Thank you! For any comments, questions or suggestions – please feel free to get in touch: