Information
Full name
Households adopting livelihood coping strategies by level of strategy
Short name
Livelihood coping strategies
Code
LCS
Definition
The Livelihood Coping Strategies Indicator is defined as the share of households that adopted coping strategies of different severity levels in the past 30 days or exhausted them within the past 12 months, which is based on a series of questions about how households manage to cope with shocks that stress their livelihoods. These strategies are categorized by severity - stress, crisis, and emergency - based on their long-term impact on household well-being and productivity. The livelihood coping strategies indicator thus exists in two versions, one for essential needs (LCS-EN) and another for food security (LCS-FS). LCS-FS is recommended to be used in contexts where the prevalence of food insecurity is high, and food needs are on top of unmet needs in the communities; LCS-EN should be used in essential needs assessments, or whenever the objective of an assessment is broader than food security and tackles other essential needs (e.g. shelter, health, etc.).
Rationale
UNHCR incorporates the Livelihood Coping Strategies indicators to assess the longer-term coping capacity and resilience of forcibly displaced and stateless households. These indicators measure the extent to which families adopt stress, crisis, or emergency coping strategies to meet essential needs or food requirements, using a 30-day recall period. High reliance on emergency strategies, such as selling productive assets or withdrawing children from school, signals severe vulnerability and erosion of future livelihoods. By capturing these behaviors, UNHCR can classify households into vulnerability categories, monitor sustainability of coping mechanisms, and design interventions that prevent irreversible harm. Combined with other essential needs indicators such as FCS (Food Consumption Score) and ECMEN (Economic Capacity to Meet Essential Needs), LCS indicators strengthen multi-sectoral analysis under the UNHCR-WFP Joint Analytical Framework, informing evidence-based programming in cash assistance, food security, and livelihoods. This approach ensures that humanitarian responses address both immediate needs and long-term self-reliance.
Method of computation
The Livelihood Coping Strategies indicators are categorical variables with four levels of severity: No coping strategies, Stress, Crisis, and Emergency. Households are classified into one of these categories based on whether they adopted any coping strategies from a predefined context-specific master list due to insufficient resources to meet essential needs (LCS-EN) or maintain food security (LCS-FS). If multiple strategies are reported, the household is assigned to the category corresponding to the most severe strategy applied. This indicator captures the distribution of how households across coping strategies expressed in percentage. This classification provides a standardized way to assess vulnerability and resilience, highlighting the extent to which households are resorting to harmful coping mechanisms that may compromise their future well-being.
Comparability
International definition and standards with contextualization
Limitations
The Livelihood Coping Strategies indicators (LCS-EN and LCS-FS) are highly context-dependent, which poses significant challenges for cross-country or cross-regional comparisons. If the master list of coping strategies is not well adapted to the local context, it may omit relevant behaviors or include strategies that lack meaningful interpretation. Additionally, LCS relies on a 30-day recall period, introducing potential recall bias and underreporting of sensitive strategies such as child labor or begging. The indicator does not capture the frequency or intensity of coping strategies beyond a universal severity hierarchy, limiting its ability to measure the depth of vulnerability. Cultural and social factors may also influence reporting, and the indicator alone cannot provide a comprehensive picture of economic or food security vulnerability without triangulation with other measures such as ECMEN and FCS.
Quality assurance
The World Food Programme resource provides a technical guidance note, standard questionnaire modules, an XLS form, calculation scripts, sample data, training material and data quality guidance for collecting, calculating and analysing Livelihood Coping Strategies. Quality assurance should follow the practices of the standardised survey series or data source from which the data is collected.
Source: World Food Programme. Food Consumption Score. https://vamresources.manuals.wfp.org/docs/livelihood-coping-strategies-food-security (Accessed 29 July 2026).
Data sources
Household level surveys such as WFP Comprehensive Food Security and Vulnerability Analysis Surveys (CFSVA) or UNHCR's Forced Displacement Survey (FDS).
Estonia: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_EST_2024_SEIS
2024
Estonia
Non-probability survey
United Nations High Commissioner for Refugees
Poland: Multi-Sector Needs Assessment (MSNA) - 2023
UNHCR_POL_2023_MSNA
2023
Poland
Non-probability survey
United Nations High Commissioner for Refugees
Lithuania: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_LTU_2024_SEIS
2024
Lithuania
Non-probability survey
United Nations High Commissioner for Refugees
Czechia: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_CZE_2024_SEIS
2024
Czechia
Non-probability survey
United Nations High Commissioner for Refugees
Bulgaria: Multi-Sector Needs Assessment (MSNA) - 2023
UNHCR_BGR_2023_MSNA
2023
Bulgaria
Non-probability survey
United Nations High Commissioner for Refugees
Latvia: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_LVA_2024_SEIS
2024
Latvia
Non-probability survey
United Nations High Commissioner for Refugees
Poland: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_POL_2024_SEIS
2024
Poland
Non-probability survey
United Nations High Commissioner for Refugees
Romania: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_ROU_2024_SEIS
2024
Romania
Probability survey
United Nations High Commissioner for Refugees
Slovakia: Multi-Sector Needs Assessment (MSNA) - 2023
UNHCR_SVK_2023_MSNA
2023
Slovakia
Non-probability survey
United Nations High Commissioner for Refugees
Bulgaria: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_BGR_2024_SEIS
2024
Bulgaria
Non-probability survey
United Nations High Commissioner for Refugees
Rep. of Moldova: Multi-Sector Needs Assessment (MSNA) - 2023
UNHCR_MDA_2023_MSNA
2023
Republic of Moldova
Non-probability survey
United Nations High Commissioner for Refugees
Rwanda: Joint UNHCR/WFP Post Distribution Monitoring - Sep 2021
UNHCR_WFP_RWA_2021_JPDM
2021
Rwanda
Probability survey
United Nations High Commissioner for Refugees
Cameroon: Forced Displacement Survey - 2024
UNHCR_CMR_2024_FDS
2024
Cameroon
Probability survey
United Nations High Commissioner for Refugees, Gov't. of Cameroon
Report is forthcoming.
Rep. of Moldova: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_MDA_2024_SEIS
2024
Republic of Moldova
Non-probability survey
United Nations High Commissioner for Refugees
Pakistan: Forced displacement survey (FDS) - 2024
UNHCR_PAK_2024_FDS
2025
Pakistan
Probability survey
United Nations High Commissioner for Refugees
Hungary: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_HUN_2024_SEIS
2024
Hungary
Non-probability survey
United Nations High Commissioner for Refugees
Rwanda: Joint UNHCR/WFP Post Distribution Monitoring - May 2022
UNHCR_WFP_RWA_2022_JPDM
2022
Rwanda
Probability survey
United Nations High Commissioner for Refugees
South Sudan: Joint Post Distribution Monitoring, 2023
UNHCR_WFP_SSD_2023_JAM
2023
South Sudan
Probability survey
United Nations High Commissioner for Refugees
Slovakia: Socio-Economic Insights Survey (SEIS) - 2024
UNHCR_SVK_2024_SEIS
2024
Slovakia
Non-probability survey
United Nations High Commissioner for Refugees
Czechia: Multi-Sector Needs Assessment (MSNA) - 2023
UNHCR_CZE_2023_MSNA
2023
Czechia
Non-probability survey
United Nations High Commissioner for Refugees
Zambia: Forced Displacement Survey - 2025
UNHCR_ZMB_2025_FDS
2025
Probability survey
The strata on others of concern (OOC) are former refugeesfrom Angola and Rwanda who have lost their refugee protections, however, remain in Zambia and are at risk of statelessness.
Hungary: Multi-Sector Needs Assessment (MSNA) - 2023
UNHCR_HUN_2023_MSNA
2023
Hungary
Non-probability survey
United Nations High Commissioner for Refugees
Romania: Multi-Sector Needs Assessment (MSNA) - 2023
UNHCR_ROU_2023_MSNA
2023
Romania
Probability survey
United Nations High Commissioner for Refugees
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