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Change of processing of agriculture/livestock production for extended household stock or availability

Change of processing of agriculture/livestock production for extended household stock or availability

Code:
Result Level:
  • Outcome
Objectives:
  • Productivity enhancement
Description:

Reduced post harvest crop loss through product processing indicates improved storage, food and income sources. - Includes staple crop, vegetable and agroforestry production. - Includes livestock, pisciculture, aquaculture, apiculture, cuniculture, etc., support (e.g. change in Tropical Livestock Unit productivity)

Disaggregated By:

Geography/Livelihoods zone; Head of household’s gender, age, disabilities, chronic diseases, dependency ratio, and any other relevant criteria, such as urban/rural context, religious, ethnic or political identities; Wealth groups; Livelihoods group (e.g. pastoralist, farmers, traders); Period to achieve the objective;

Direction of change:
  • Increase (number)
Data source:

Both secondary and primary data collection can be used according to context. Baseline/Endline. If multiyear programme depending on comparison requirements between lean season and other seasons, consider an interim reporting/evaluation; Secondary data. Reliable/relevant sources from other actors, clusters or government. Data Collection methods: Secondary data analysis; Households Survey, Focus Group Discussion; Productive Organizations records Pre and Post Harvest Crop Assessments Observation

Sector/Subsector:
  • Primary production
Source: ACF-1 OXFAM-1
Examples:

Measure Notes:

> Total quantity and proportion of household production processed (by type) relative to baseline > Number of storage facilities available for storage relative to baseline > Amount of income created from processed products relative to baseline > Extended length of availability of products for household consumption relative to baseline - Proportional piling/Ranking are useful methods to define priorities and quantities and proportions of household production. - Needs to consider linkages with MAHFP, food and income sources, as well as dietary diversity (see Core Indicators) - Needs to consider potential changes in seasonal productivity, e.g. not every season in bimodal areas is similarly productive.