Livelihood Assessment and Analysis

Course Objectives

By the end of this course, participants will be able to:

• Understand the concepts and frameworks of livelihood assessment and analysis.
• Identify and evaluate key livelihood assets, strategies, and outcomes.
• Conduct field-based livelihood assessments using qualitative and quantitative tools.
• Analyze the impact of external factors (e.g., policies, shocks, and trends) on livelihoods.
• Develop actionable recommendations for livelihood improvement and sustainability.
• Apply participatory approaches to engage communities in assessing and enhancing their livelihoods.

Course Content

Introduction to Livelihoods and Assessment Frameworks

• Definition and importance of livelihoods in development contexts.
• Overview of the Sustainable Livelihoods Framework (SLF).
• Components of the framework: Assets, Vulnerabilities, Strategies, and Outcomes.
• Integration of livelihoods into development planning and humanitarian response.

Livelihood Assets and Capital Analysis

• Identifying the five livelihood capitals:
  • Human capital (skills, education, health).
  • Natural capital (land, water, resources).
  • Social capital (networks, relationships, institutions).
  • Physical capital (infrastructure, equipment).
  • Financial capital (income, savings, credit).
• Tools for assessing and mapping livelihood assets.

Vulnerability Context and External Influences

• Understanding the vulnerability context:
  • Shocks (e.g., natural disasters, conflicts).
  • Trends (e.g., economic, technological, demographic).
  • Seasonal variations.
• Analyzing the role of policies, institutions, and processes in shaping livelihoods.

Livelihood Strategies and Outcomes

• Identifying livelihood strategies adopted by individuals and communities.
• Evaluating livelihood outcomes: income, well-being, food security, and resilience.
• Trade-offs and choices in livelihood strategies.

Participatory Livelihood Assessment Tools

• Participatory rural appraisal (PRA) techniques.
• Focus group discussions and key informant interviews.
• Household surveys and asset mapping.
• Using technology for data collection: mobile apps, GIS, and remote sensing.

Data Analysis and Interpretation

• Quantitative and qualitative data analysis techniques.
• Developing livelihood profiles and trends.
• Identifying gaps, opportunities, and areas for intervention.

DATE:

1ST BATCH:  24th–27th Feb, 2026

2ND BATCH: 16th–19th Jun, 2026 

3RD BATCH: 13th–16th Oct, 2026