Number/percentage of targeted population <households, communities, productive organizations, MSME> are able to <protect, replace, increase, improve> their productive assets (specify the type of assets if needed) [above <pre disaster level, baseline level, a normal year, last year -same period->] [in a safe manner]

Code: 

KRI-2-1

Result level: 

Outcome

Objective: 

Description: 

Change in number or quality of productive assets owned or accessed by targeted population

Increased number, improvement, preservation or reduced depletion of livelihoods productive assets indicates increase in food security, economic security and resilience.
This indicator is focused on equipment, infrastructures and inputs provision and access, supported with different mechanisms (cash, in-kind, income/employment support, safety nets, etc.).

- Includes group and individual agriculture assets/inputs supply (e.g. seeds, tools, irrigation systems, land)
- Includes livestock, pisciculture, aquaculture, apiculture, cuniculture, etc., support (e.g. distribution of productive assets, reduction of depletion, etc.).
- Includes group and individual IGA (income generation activities) assets distribution/support.
- Includes any type of assets support (recovery, improvement) to agro based, non-agro based, or service based income generating activity, can include value addition or transformation etc.
- Includes the support on improved productive assets (e.g. improved seeds)
- Includes household/community/productive association creation or reconstruction of productive infrastructures.
At community level we need to specify the type of community/group and to indicate the inclusion/access of all members of these groups to the common assets.

This indicator also include the "build back better" approach, which not just recover what households/productive groups had before the crisis/shock, but also improve it to make them more resilient and sustainable.

Definitions:
- MSME: micro, small and medium enterprises (formal or informal)
- Safe manner: To include considering the context (mostly in conflict areas). Interventions that promote the replacement, increase or improvement of productive assets must assure security of targeted population.

Disaggregated by: 

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

Direction of change: 

restore or increase

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, reference to a normal situation).

Unit of Measurement: Population, but can also be households or productive organizations, or MSME.
If percentage:
- Numerator: Number of targeted population able to <protect, restore, increase, improve> their productive assets.
- Denominator: Total number of targeted population

Data Collection methods:
Secondary data analysis;
Household/productive organizations/etc. survey and Focus Group Discussions;
Key Informant Interviews;
Assets distribution reports;
MSME / productive organizations' assets records;

Measurement Guidance: 

Measure the number of productive assets owned (e.g. livestock heads, land, tools, equipment) or able to access (e.g. seed for the next plantation, access to land).

Comparison of number of productive assets should be done related to:
- normal year (note that in some cases targeted population could have problems to inform about "a normal year" mostly in slow onset disasters)
- baseline
- last year -at the same period-

[primary production] Consider potential changes in seasonal asset ownership and active seasonal depletion or explanation of the same (e.g. sold a goat to buy food at the beginning of the lean season; destocking, pests and diseases prevalence depending, etc.).

Consider market price variations throughout the year

Sector: 

Source: 

Examples: 

At the end of the program X% of targeted households (from those Y% are household with a high dependency ratio) in Podor region are able to restore their productive assets above pre disaster level
At the end of the program X targeted productive organizations (from those Y are women organizations) in Podor region are able to increase their productive assets above baseline level.

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