-Average annual rainfall 1990-2022
-(Kenya Meteorological Department)
-Indicates the level of water stresses
-Average annual dry days 1990-2022
- High number of dry days high climate risk
-Change in average annual rainfall since 1990-2022. CV = δ/µ, where δ is the standard deviation and µ mean of annual rainfall between 1990-2022
- A high CV of rainfall indicates low rainfall predictability and uneven distribution of rainfall
-Change in average annual temperature 1990-2022
- Change in mean temperature increases heat or cold stresses
-Weight for climate variable based on variability. Principal Component Analysis was used to assign the weight for each variable
- Integration of climate risk variables based on their weights. A high value indicates high climate risk
-The area under crop and grass/pasture lands
-(Kenya Sentinel 2 Land Use Land Cover data. Available here.)
- Agriculture is a climate-sensitive sector. More land under agriculture becomes more sensitive to climate risk
-Percentage of Women owning agricultural land (based on legal status)
-(KNBS, 2019 Census)
- More % the women own climate-sensitive sectors they become more sensitive to climate risk
-Women dependent on agriculture as a cultivator or laborers
-The total value of agriculture production (crop, livestock, and other products)
- -More % of women dependent on agriculture makes them more sensitive to climate risk
-Total number of females in agriculture
- More females in agriculture, many females become sensitive to climate risk
-Female households experience climate change shocks
- More female households experience climate shocks indicate more females are sensitive to climate change
-The average income gap between men and women. The value ranges from 0-1, 0 represents high equality, and 1 indicates high inequality.
-(DHS, GlobalDataLab)
- The low-income gap increases women’s ability to invest in climate action as men do in agriculture.
-The average education gap between men and women. The value ranges from 0-1, 0 represents high equality, and 1 indicates high inequality.
- Low education gap increases women’s awareness and adoption of climate-smart interventions
-The health status gap between men and women. The value ranges from 0-1, 0 represents high equality, and 1 indicates high inequality.
-(source:Kenya DHS, GlobalDataLab)
- The low health gap increases women’s ability to adapt to climate change in agriculture
-% of females have access to different sources of finance
-(source: KNBS, 2019 Census)
- High access to finance increases their ability to invest in climate adaptation in agriculture
-Percentage of agriculture households’ access to different sources of ICT services (mobile, TV, radio, internet, etc)
-(source:KNBS, 2019 Census)
- High access to ICT services increases agriculture households’ ability to receive agro advisory services, climate, and market information
-Percentage of agriculture households’ access to the market for agriculture inputs and outputs
-((source: KNBS, 2019 Census)
-Percentage of females manage households as household head
- - Increases females’ decision-making power in climate change adaptation
-Percentage of food-secure households
- Increases households’ ability to invest in climate change adaptation interventions
-The total amount of renewable freshwater available to a sub-basin includes surface flow, interflow, and groundwater recharge (cm/year).
-(source: Aqueduct (World Resources Institute). Available here)
- The amount available water for different purposes (e.g. agriculture, domestic, and industrial uses) determines the level of water stress
-Gross demand is the maximum potential water required to meet sectoral demands. Sectoral water demand includes domestic, industrial, irrigation, and livestock (cm/year).
-(Aqueduct (World Resources Institute). Available here)
- A high level of water demand indicates a high level of sensitivity to CC
-Percentage of household access to safe drinking water
-(Kenya DHS 2022, Available here)
- Households with low access to safe drinking water become more sensitive to climate change
Percentage of households that need 30 or more minutes to collect water
- Households that spend more time on water collection become more sensitive to climate change
-Percentage of households where women were involved in water collection
- The more women are involved in water collection more they become sensitive to climate chang
-Percentage of households where women are aware of climate change shocks
- A high level of awareness of climate change shocks indicates high women’s sensitivity to CC
-(DHS GlobalDataLab)
- The low-income gap increases women’s ability to invest in climate action as men do in the water sector.
- Low education gap increases women’s awareness and adoption of water-smart interventions
- The low health gap increases women’s ability to adapt to climate change in water
-Percentage of women who have access to different sources of finance
- High access to finance increases their ability to invest in climate adaptation in the water sector
-Percentage of women who manage households as household head
- Increases women’s decision-making power in climate change adaptation in the household water supply
-Total forest lands in the county
- ncreases females’ decision-making power in climate change adaptation in the household water supply
-Percentage of households with access to energy supply
- Households connected to energy supply become more sensitive to CC
-Percentage of households using firewood for cooking and heating
- Households using firewood become more sensitive to CC
-Percentage of households using charcoal for cooking and heating
- Households using charcoal become more sensitive to CC
-Percentage of women-headed households using biogas
- Households using biogas become less sensitive to CC
-Percentage of women-headed households using solar
- Households using solar become less sensitive to CC
-Total women population
- More number of women become sensitive in a location with a large women population
-Total number of women having access to different sources of energy
- The level of women’s access to energy determines their sensitivity to CC
-Estimated total energy demand by county based on population and different uses (domestic, public services, agriculture, and industrial uses)
-Energy Access Explorer (open access geospatial platform)
- Locations with high energy demand become more sensitive to climate change
- The low-income gap increases women’s ability to invest in climate action as men do in the energy sector.
- Low education gap increases women’s awareness and adoption of energy-smart interventions
-Percentage of households have access to energy supply
- Connectivity to a reliable energy supply increases households’ adaptive capacity
-Percenage of population under the poverty level
- Low poverty level increases adaptive capacity to change in energy supply
-Pecentage of households have access to clean energy (solar, biogas, etc)
- Increases access to alternative sources of energy under climate change
-Perentage of females manage households as household head
-Energy supply infrastructure available by the county
- Increase adaptive capacity with a high level of energy supply-related infrastructures