Livelihoods Assessment and Analysis Training Course

Participants can develop decision-focused questions and a stakeholder engagement plan.

• Decision trees connecting assessment questions to programme and response choices
• Primary users identified among communities, authorities, donors and operational teams
• Assessment objectives separated from indicators, methods and reporting products
• Key assumptions documented before collecting household and market information
• Stakeholder mapping using influence, interest, information needs and accountability
• Terms of reference specifying scope, geography, population and decision deadlines

Participants can compile and appraise secondary evidence for livelihoods assessment planning.

• Secondary data inventory covering demographics, hazards, production, markets and services
• Data quality appraisal using source credibility, timeliness, relevance and limitations
• Hazard timelines connecting shocks, exposure, seasonality and household consequences
• Conflict analysis identifying actors, dividers, connectors and access constraints
• Climate risk information interpreted from rainfall, temperature and forecast sources
• Evidence gaps converted into focused primary data collection questions

Participants can segment populations into meaningful livelihood and wealth groups.

• Livelihood zoning based on production systems, labour patterns and market connections
• Wealth groups classified through productive assets, housing, livestock and land
• Household typologies distinguishing farmers, pastoralists, traders, labourers and displaced groups
• Community wealth-ranking methods compared with asset-based classification criteria
• Intra-household differences examined through gender, age, disability and legal status
• Population estimates checked against administrative records, registries and community sources

Participants can analyse the asset base and income strategies sustaining household livelihoods.

• Five asset categories: human, social, natural, physical and financial capital
• Income source mapping covering own production, labour, trade, transfers and remittances
• Portfolio analysis assessing dependence, diversification, reliability and seasonal variation
• Productive assets distinguished from consumable assets and emergency sales
• Debt analysis covering creditors, repayment terms, collateral and borrowing purposes
• Remittance flows assessed for regularity, value, transfer costs and access

Participants can select and interpret core food security and consumption indicators.

• Food Consumption Score calculated from seven-day food group consumption frequency
• Household Dietary Diversity Score interpreted alongside access and cultural food practices
• Reduced Coping Strategies Index measuring food-related coping behaviours and frequency
• Household Hunger Scale applied using occurrence and frequency questions
• Minimum Expenditure Basket linked to basic food and essential non-food needs
• Nutrition evidence interpreted without inferring causation from food access alone

Participants can apply Household Economy Approach concepts to household access and deficits.

• Household Economy Approach baseline: food, cash income and essential expenditure
• Reference years selected to represent typical livelihood conditions and access
• Food sources quantified through own production, purchases, gifts and transfers
• Cash income estimated from labour, sales, trade, services and remittances
• Essential expenditure distinguished from discretionary and productive investment spending
• Survival and livelihood protection thresholds interpreted for response analysis

Participants can analyse how seasonal and shock-related pressures affect household choices.

• Seasonal calendars charting income, expenditure, food stocks, debt and disease
• Shock profiles covering drought, flood, conflict, displacement, pests and price rises
• Coping Strategy Index patterns separated from normal seasonal adjustments
• Asset depletion tracked through livestock sales, land rental and tool disposal
• Negative coping identified through child labour, reduced meals and risky migration
• Recovery pathways assessed after shocks using assets, access and social support

Participants can assess whether markets can support household access and response delivery.

• Market system mapping identifies actors, functions, rules and supporting services
• Trader interviews assess supply chains, stock levels, credit and replenishment
• Price monitoring compares nominal prices, seasonal trends and household purchasing power
• Terms of trade calculated between labour wages, livestock and staple foods
• Market integration assessed through price co-movement, transport and trader networks
• Access barriers identified through distance, safety, documentation and discrimination

Participants can build an assessment design that combines appropriate quantitative and qualitative methods.

• Assessment matrix links questions, indicators, sources, methods and responsible staff
• Mixed-methods design combines household surveys, key informants and focus groups
• Triangulation compares findings across sources, methods, locations and population groups
• Cross-sectional surveys distinguished from panel, longitudinal and sentinel approaches
• Rapid assessment designs balanced against representativeness, precision and operational constraints
• Data collection sequencing aligns community entry, market visits and household interviews

Participants can select and document a feasible sampling approach for livelihoods data.

• Sampling frames constructed from census lists, registries, maps and community records
• Probability sampling methods: simple random, systematic, stratified and cluster sampling
• Purposive sampling justified for key informants, traders and hard-to-reach groups
• Sample size drivers include precision, confidence, design effect and non-response
• Stratification reflects livelihood zones, wealth groups, displacement and gender
• Replacement procedures documented to prevent interviewer-driven respondent selection

Participants can create structured household tools with clear variables and quality controls.

• Questionnaire flow follows consent, household roster, livelihoods, expenditure and coping
• Recall periods matched to seasonal income, food consumption and expenditure patterns
• Closed questions use mutually exclusive, collectively exhaustive response categories
• Skip logic prevents irrelevant questions and inconsistent household records
• Enumerator guidance defines probes, local units, translations and observation rules
• Data quality checks flag missing values, outliers, duplicates and logical inconsistencies

Participants can use qualitative methods to explain household choices and local systems.

• Key informant interviews elicit market, production, migration and service information
• Focus group discussions separate participants by gender, age and livelihood group
• Seasonal calendars generated with communities validate timing of livelihood pressures
• Proportional piling estimates relative income sources, expenditure shares and constraints
• Transect walks document infrastructure, natural resources, services and market access
• Thematic coding converts interview notes into traceable findings and quotations

Participants can prepare, analyse and present livelihoods data for decision-makers.

• Codebooks define variable names, labels, values, units and missing-data rules
• Data cleaning logs record corrections, exclusions, merges and unresolved anomalies
• Descriptive statistics summarise proportions, means, medians, ranges and distributions
• Cross-tabulations compare livelihood outcomes by wealth, gender, zone and displacement
• Weighted analysis considered when sampling probabilities differ between population strata
• Charts selected for seasonal trends, price comparisons, proportions and distributions

Participants can interpret severity evidence without overstating precision or causation.

• IPC Acute Food Insecurity evidence protocols distinguish outcomes, drivers and contributing factors
• Convergence of evidence assessed across food consumption, livelihoods, nutrition and mortality
• Severity thresholds interpreted alongside confidence, data limitations and population coverage
• Proxy indicators tested before making claims about household food security
• Uncertainty statements identify missing evidence, contradictory results and analytical assumptions
• Disaggregation prevents average results concealing severe subgroup deprivation

Participants can compare response options against household needs, markets and risks.

• Response Analysis Framework compares objectives, transfer modalities, timing and feasibility
• Cash, vouchers and in-kind assistance assessed against market functionality criteria
• Livelihood protection options include inputs, livestock support, debt relief and grants
• Social protection linkages assessed for coverage, adequacy, delivery and grievance channels
• Protection risk analysis considers exclusion, exploitation, safety and household control
• Response assumptions documented with triggers, monitoring indicators and contingency actions

Participants can translate assessment findings into sequenced recovery and resilience actions.

• Theory of change links livelihood constraints, interventions, outputs and outcomes
• Resilience capacities classified as absorptive, adaptive and transformative capacities
• Graduation pathways combine consumption support, assets, skills and market access
• Agricultural recovery sequencing considers seasons, input availability and land access
• Urban livelihoods support addresses rent, transport, informal work and documentation
• Exit strategies define recovery benchmarks, referral pathways and local ownership

Participants can develop monitoring indicators that test livelihoods response assumptions.

• Indicator reference sheets define measures, numerators, denominators, sources and frequency
• Outcome monitoring tracks income, expenditure, food consumption, assets and debt
• Post-distribution monitoring examines access, use, satisfaction, safety and market effects
• Sentinel sites provide repeated signals on prices, wages, rainfall and coping
• Feedback mechanisms capture complaints, exclusion concerns and unintended consequences
• Adaptive management decisions link monitoring thresholds to programme adjustments

Participants can communicate livelihoods findings, limitations and recommendations for different audiences.

• Findings narratives separate observed evidence, interpretation, assumptions and recommendations
• Executive summaries present priority groups, severity, drivers and response choices
• Evidence tables connect each recommendation to supporting data and limitations
• Maps, charts and seasonal calendars selected for decision-focused communication
• Technical annexes document sampling, tools, definitions, calculations and ethical procedures
• Briefing presentations address operational implications, costs, risks and decision points

Participants can build, review and present a complete livelihoods assessment design and findings brief.

• Assessment scenario defines affected populations, hazards, markets and programme decisions
• Question matrix specifies priority evidence, methods, sources and decision users
• Sampling plan justifies population strata, selection methods and respondent numbers
• Data collection package combines household survey, interview guide and market tool
• Analysis framework integrates livelihood profiles, food security, markets and coping
• Response recommendation states options, evidence, assumptions, risks and monitoring triggers