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|INDICATOR 15: % of people better able to build resilience to the effects of climate change and variability|
|Why this indicator? What will it measure and provide information for?
This indicator measures reductions in vulnerability and increases in adaptive capacity at community, household or individual levels. Interventions to be based on a climate vulnerability assessment (such as CVCA) of underlying causes that make people vulnerable to climate change and variability. It has been developed by DFID and IIED.
|What Sustainable Development Goal is the indicator connected to?
SDG Goal 13 “Combat climate change” has no relevant indicator in Nov 2015 green list. All of this goal’s indicators are macro indicators that don’t target directly community-based or households’ resilience capacities; rather they target instructional, casualties and financial aspects related to climate change impacts and mitigation/adaptation initiatives.
|Definitions and key terms
Tracking Adaptation and Measuring Development (TAMD) is a 'twin track' framework that evaluates adaptation success as a combination of how:
* Widely and how well countries or institutions manage climate risks (Track 1), and
* Successful adaptation interventions are in reducing climate vulnerability and in keeping development on course (Track 2).
TAMD allows a) assessing the adaptation process at multiple scales – from multiple-country initiatives to local projects; and b) linking Climate Risk Management (CRM), vulnerability and resilience, and broader human wellbeing.
|Data and information required to calculate the indicator
* Numerator: Numbers of people (by gender) better able to build resilience to the effects of climate change and variability
* Denominator: Total number of people (by gender) affected by climate change and variability effects
|Examples of proxy indicators that projects have adopted, which contribute to global indicator 15
* % households/people having increased knowledge on climate change adaptation practices
* % people adopting or applying at least 1 (or 2, or 3) climate resilient agriculture practices promoted by the project
* % households/people able to identify at least 3 strategies to adapt to climate change
* % households/people using climate information or implementing risk reducing actions to improve resilience to climate change
* % of households that have experienced climate-related shocks and did not have to sell household assets (or resort to other negative coping strategies)
* % of respondents who have taken actions to protect assets against future climate shocks and stressors
Note: projects can use other proxy indicators. These are examples of the ones most frequently used.
|Suggested method for data collection
* Primary data collection: household survey
* Secondary data analysis
* For more information: http://pubs.iied.org/pdfs/10100IIED.pdf
* Qualitative methods like focus group discussions and key informants interviews should supplement the quantitative data collection to provide a better understanding of Climate Risk Management activities, resilience initiatives; affected people’s perception of wellbeing in the face of climate change and variability.
|Possible data sources
* Primary data collection: project household surveys
* Secondary data
* Local/national/regional weather information systems
|Resources needed for data collection
The quantitative and qualitative data collection, storage and analysis will have to be conducted by CARE and partners (potentially including research / university partners). It needs to be included in the monitoring and evaluation plan and budgeted for.
|Reporting results for this indicator: number of people for which the change happened
* A change in the percentage/number of people who are better able to build resilience to the effects of climate change and variability
|Questions for guiding the analysis and interpretation of data (explaining the how and why the change happened, and how CARE contributed to the change)
* This indicator provides a measure of changes in household and people resilience (in different geographical/administrative areas) and contributes to documenting the success or failure of the actions taken to build people’s resilience to climate change and variability effects.
* This indicator should applied at several levels: institutional, community and people’s scales to allow a comprehensive analysis of the scope of observed resilience
* It should also apply to physical (infrastructures) and soft (committees, EWS, preparedness plans/strategies) measures adopted for building resilience.