Asset Publisher

Number/percentage of target population "households, productive organisations, MSME" apply new acquired "knowledge, skills" promoted by the project to "strengthen, diversify, protect" their livelihoods [specify if necessary: improve the primary production or MSME, acquire a paid job, etc.]

Number/percentage of target population < households, productive organisations, MSME > apply new acquired < knowledge, skills > promoted by the project to < strengthen, diversify, protect > their livelihoods [specify if necessary: improve the primary production or MSME, acquire a paid job, etc.]

Code: KOI-5-2
Result Level:
  • Outcome
Objectives:
  • Gain and application of livelihoods activities knowledge
Description:

Change in number of people applying newly acquired skills / knowledge promoted by the project to improve (strength, diversify, protect) their livelihood activities.

Increased application of knowledge and practices gained in all kind of livelihood activities:

  • primary production: application of best practices in agriculture; livestock; forestry; fishing
  • transformation and production processing
  • income generation activities and employment: improve or launch a business, get a paid job

Definitions:

  • MSME: micro, small and medium enterprises (formal or informal)
Disaggregated By:
  • Geography/Livelihood zone;
  • Gender, age, disabilities, chronic diseases (for individuals, associations members, etc.);
  • Head of household’s gender, age, disabilities, chronic diseases, dependency ratio (for households), and any other relevant criteria, such as urban/rural context, religious, ethnic or political identities;
  • Wealth groups; Livelihood group (e.g. pastoralist, farmers, traders);
  • Period to achieve the objective;
  • Consider disaggregation of information by trained and non-trained households.
Direction of change:
  • Increase (number)
Data source:

Both secondary and primary data collection can be used according to context.

  • Baseline/Endline. If multiyear programme consider also a mid-term evaluation.
  • Secondary data. Reliable/relevant sources from other actors, clusters or government (e.g. assessment information).

Unit of Measurement: Population (trained people) but can also be households, productive organisations, or MSME. If percentage:

  • Numerator: Number of trained people that is applying new knowledge / skills.
  • Denominator: Total number of trained people

Data Collection methods:

  • Secondary data analysis;
  • Household surveys and focus group discussions;
  • Key informant interviews;
  • Productive organisation, MSMEs survey, focus groups and MSME records;
  • Observation (crops, herds management, etc.)
Sector/Subsector:
  • Income Generation Activities and Employment
  • Primary production
  • Education Training and Capacity Building
Source:
Examples:

At the end of the project X% of target farmers from Somaliland and Puntland (from those Y% are women) apply new livestock rearing and management techniques promoted by the project and the extension system to strengthen their livestock production. At the end of the project X% of target traders and small-medium businesses from Somaliland and Puntland (from those Y% are headed by women) apply new market techniques promoted by the project to strengthen their business. At the end of the vocational training programme X% of trained people (from those Y% are women) apply new knowledge to acquire a paid job.
Measure Notes: