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September, 2019
Integrated Resilience Programme 2019
BASELINE REPORT
Background Information and IRM Project Objective
Integrated Resilience Programme (IRP) aligns with a resilient food systems approach,
contributing to Strategic Result 4 of SDG 2 through the following components:
1. Food Assistance for Assets (FFA)
2. R4 Rural Resilience Initiative (R4)
3. Integrated Risk Management and Climate Services
4. Smallholder Agricultural Market Support (SAMS)
5. BMZ
Goal: In collaboration with NGO partners and government, WFP will implement integrated
resilience programme in the districts of Balaka, Blantyre, Chikwawa, Machinga, Mangochi,
Phalombe, Nsanje and Zomba.
Target: 154,435 households for 2019
District Interventions
Baseline Objectives
Understand the nutrition and food security situation and livelihood resilience of
households/communities in all districts implementing the Resilience Programme by
assessing the following areas:
1. Households’ characteristics
2. Households’ assets
3. Households’ agricultural production practices
4. How households are affected by shocks and the coping strategies they employ
5. Households’ food security outcome indicators (Food Consumption Score, Diet
Diversity Score)
6. Cross-cutting indicators on Protection, Gender and Accountability to Affected
Populations (AAP)
7. Households’ crop yield, livestock ownership, and income levels
8. Linkages
Sampling Strategy
• Stratified and three-stage cluster sampling
• Sample designed to detect a minimum difference
of 5 percentage points (5 pp) between sub-groups
• Prevalence of poor food consumption score from
2018 Resilience outcome monitoring survey was
used to determine sample size
• 5,783 households sampled across 8 districts
comprising of beneficiaries, non-beneficiaries and
households under inequality impact study
Methodology
Demography and Household Characteristics
• Household Size: 4.3 to 5.6
• Average Head of HH Age: 44 years
old
• HH head’s Level of Education:
- 67% attended primary school
- 12% attended secondary school
- 21% never attended school
28% 72%
HH head Gender
Household Demography – Chikwawa and Mangochi
Agricultural Production
Crop Diversification – Chikwawa and Mangochi
Key Observation:
Most farmers are solely
producing maize.
Despite different
environments favoring
different crops, there is
need to encourage
farmers to cultivate a
variety of crops beyond
maize.
80%
16%
8%
5%
13%
28%
15%
3%
69%
6% 6%
3%
14%
26%
17%
1%
Maize G/nuts Cowpeas Seetpotato Pigeonpeas Sorghum Millet Cassava
Crops diversification
Beneficiary Non-Beneficiary
• Overall, low proportion of
households produced
300 KG of maize or above
• High proportion of
households in Chikwawa
did not harvest maize-
Floods and environmental
conditions which does not
favor maize production.
Maize Harvest
• Casual labour remains
major source of income
across all sub-groups
Income Generating/Livelihood Activities
Food and Nutrition Security
Food Consumption Score
• Programme Target: 100% of HH
falling within acceptable and
borderline categories by the end of
the project
• Across the two districts, the overall
proportion of HH with poor FCS is
7%
• There is relatively higher
proportion of female-headed
households (12%) with poor FCS as
compared to male-headed
households (4%).
Further analysis of FCS by district and beneficiary status
Average Food Consumption Score by District
Further
analysis of
FCS by
district and
beneficiary
status
Nutrition/Nutrients
3% 5% 8% 4% 7%
0%
4% 6% 4%
56% 54%
72%
64%
63%
53%
61% 59% 63%
40% 41%
20%
32% 30%
47%
35% 35% 33%
Ben Non-Ben Inequality
study
Ben Non-Ben Inequality
study
Ben Non-Ben Inequality
study
Chikwawa Mangochi Overall
Vitamin A
Vit A 0 days Vit A 1-6 days Vit A 7 or more days
51% 52%
63%
28%
18%
11%
36%
32%
39%
49% 47%
38%
68%
74%
84%
61%
63%
59%
0% 1% 0%
5% 8% 5% 3% 5% 3%
Ben Non-Ben Inequality
study
Ben Non-Ben Inequality
study
Ben Non-Ben Inequality
study
Chikwawa Mangochi Overall
HemIron
0 days 1-6 days 7 or more days
10%
18%
8%
9%
8%
7%
10%
12%
8%
74%
62%
72%
64%
62%
67%
67%
62%
70%
16%
20%
20%
27%
30%
25%
23%
26%
23%
Ben
Non-Ben
Inequality study
Ben
Non-Ben
Inequality study
Ben
Non-Ben
Inequality study
ChikwawaMangochiOverall
Proteins
0 days 1-6 days 7 or more days
Nutrition/Nutrients
• High proportion of
households eating
proteins falling within
the category of 1-6
days
Dietary Diversity Score by Beneficiary Status, Gender
Average rCSI by District
LCSI by Beneficiary StatusLCSI by Beneficiary Status
• Relatively high proportion of HH falling
under the category of neutral and
stress across all districts and sub-
groups
• Emergency LCSI is relatively high
among female-headed households
and inequality impact study
communities in Chikwawa
• As a long-term measure of impact,
floods can be among the contributing
factors to this deteriorating condition
Households Food Expenditure Share (%)
• In Mangochi and
Chikwawa, 35% and
45% of households,
respectively, are
spending over 75% of
their expenditure on
food
20%
18%
9%
26%
25%
18%
17%
23%
17%
22%
21%
15%
17%
15%
19%
17%
18%
20%
45%
45%
55%
35%
37%
47%
Ben
Non Ben
Inequality impact stusy
Ben
Non Ben
Inequality impact stusy
ChikwawaMangochi
Food Expenditure Share (%)
<50% 50% to 64.9% 65%-75% >75%
• Overall, the
percentage of
households falling
under severe food
insecurity ranges
from 6-10% among
different sub-groups
• Food insecurity- 40%
CARI

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WFP Resilience Monitoring Results Chikwawa and Mangochi_presented by Blessings Chida_BRACC resilience learning event_11 Feb 2020

  • 1. September, 2019 Integrated Resilience Programme 2019 BASELINE REPORT
  • 2. Background Information and IRM Project Objective Integrated Resilience Programme (IRP) aligns with a resilient food systems approach, contributing to Strategic Result 4 of SDG 2 through the following components: 1. Food Assistance for Assets (FFA) 2. R4 Rural Resilience Initiative (R4) 3. Integrated Risk Management and Climate Services 4. Smallholder Agricultural Market Support (SAMS) 5. BMZ Goal: In collaboration with NGO partners and government, WFP will implement integrated resilience programme in the districts of Balaka, Blantyre, Chikwawa, Machinga, Mangochi, Phalombe, Nsanje and Zomba. Target: 154,435 households for 2019
  • 4. Baseline Objectives Understand the nutrition and food security situation and livelihood resilience of households/communities in all districts implementing the Resilience Programme by assessing the following areas: 1. Households’ characteristics 2. Households’ assets 3. Households’ agricultural production practices 4. How households are affected by shocks and the coping strategies they employ 5. Households’ food security outcome indicators (Food Consumption Score, Diet Diversity Score) 6. Cross-cutting indicators on Protection, Gender and Accountability to Affected Populations (AAP) 7. Households’ crop yield, livestock ownership, and income levels 8. Linkages
  • 5. Sampling Strategy • Stratified and three-stage cluster sampling • Sample designed to detect a minimum difference of 5 percentage points (5 pp) between sub-groups • Prevalence of poor food consumption score from 2018 Resilience outcome monitoring survey was used to determine sample size • 5,783 households sampled across 8 districts comprising of beneficiaries, non-beneficiaries and households under inequality impact study
  • 7. Demography and Household Characteristics
  • 8. • Household Size: 4.3 to 5.6 • Average Head of HH Age: 44 years old • HH head’s Level of Education: - 67% attended primary school - 12% attended secondary school - 21% never attended school 28% 72% HH head Gender Household Demography – Chikwawa and Mangochi
  • 10. Crop Diversification – Chikwawa and Mangochi Key Observation: Most farmers are solely producing maize. Despite different environments favoring different crops, there is need to encourage farmers to cultivate a variety of crops beyond maize. 80% 16% 8% 5% 13% 28% 15% 3% 69% 6% 6% 3% 14% 26% 17% 1% Maize G/nuts Cowpeas Seetpotato Pigeonpeas Sorghum Millet Cassava Crops diversification Beneficiary Non-Beneficiary
  • 11. • Overall, low proportion of households produced 300 KG of maize or above • High proportion of households in Chikwawa did not harvest maize- Floods and environmental conditions which does not favor maize production. Maize Harvest
  • 12. • Casual labour remains major source of income across all sub-groups Income Generating/Livelihood Activities
  • 13. Food and Nutrition Security
  • 14. Food Consumption Score • Programme Target: 100% of HH falling within acceptable and borderline categories by the end of the project • Across the two districts, the overall proportion of HH with poor FCS is 7% • There is relatively higher proportion of female-headed households (12%) with poor FCS as compared to male-headed households (4%).
  • 15. Further analysis of FCS by district and beneficiary status Average Food Consumption Score by District Further analysis of FCS by district and beneficiary status
  • 16. Nutrition/Nutrients 3% 5% 8% 4% 7% 0% 4% 6% 4% 56% 54% 72% 64% 63% 53% 61% 59% 63% 40% 41% 20% 32% 30% 47% 35% 35% 33% Ben Non-Ben Inequality study Ben Non-Ben Inequality study Ben Non-Ben Inequality study Chikwawa Mangochi Overall Vitamin A Vit A 0 days Vit A 1-6 days Vit A 7 or more days 51% 52% 63% 28% 18% 11% 36% 32% 39% 49% 47% 38% 68% 74% 84% 61% 63% 59% 0% 1% 0% 5% 8% 5% 3% 5% 3% Ben Non-Ben Inequality study Ben Non-Ben Inequality study Ben Non-Ben Inequality study Chikwawa Mangochi Overall HemIron 0 days 1-6 days 7 or more days
  • 17. 10% 18% 8% 9% 8% 7% 10% 12% 8% 74% 62% 72% 64% 62% 67% 67% 62% 70% 16% 20% 20% 27% 30% 25% 23% 26% 23% Ben Non-Ben Inequality study Ben Non-Ben Inequality study Ben Non-Ben Inequality study ChikwawaMangochiOverall Proteins 0 days 1-6 days 7 or more days Nutrition/Nutrients • High proportion of households eating proteins falling within the category of 1-6 days
  • 18. Dietary Diversity Score by Beneficiary Status, Gender
  • 19. Average rCSI by District
  • 20. LCSI by Beneficiary StatusLCSI by Beneficiary Status • Relatively high proportion of HH falling under the category of neutral and stress across all districts and sub- groups • Emergency LCSI is relatively high among female-headed households and inequality impact study communities in Chikwawa • As a long-term measure of impact, floods can be among the contributing factors to this deteriorating condition
  • 21. Households Food Expenditure Share (%) • In Mangochi and Chikwawa, 35% and 45% of households, respectively, are spending over 75% of their expenditure on food 20% 18% 9% 26% 25% 18% 17% 23% 17% 22% 21% 15% 17% 15% 19% 17% 18% 20% 45% 45% 55% 35% 37% 47% Ben Non Ben Inequality impact stusy Ben Non Ben Inequality impact stusy ChikwawaMangochi Food Expenditure Share (%) <50% 50% to 64.9% 65%-75% >75%
  • 22. • Overall, the percentage of households falling under severe food insecurity ranges from 6-10% among different sub-groups • Food insecurity- 40% CARI