-Average annual rainfall since 1988-2018
-(Source:Uganda National Meteorological Authority, from here on referenced as UNMA)
-Indicates the level of water stresses
-Average annual dry days 1988-2018
-(UNMA)
- High number of dry days indicates high climate risk
-Change in average annual rainfall 1990-2022. CV = δ/µ, where δ is the standard deviation and µ mean of annual rainfall between 1988-2018.
- A high CV of rainfall indicates low rainfall predictability and uneven distribution of rainfall
-Change in average annual temperature 1988-2018
-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
-((UNMA)
-Integration of climate risk variables based on their assigned weights. A high value indicates high climate risk
-The area under crop and grass/pasture lands
-(Uganda 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
-Percent of women own agricultural land (based on legal status)
-(Annual Agriculture Survey 2019, UBOS)
-The more percentage of women own climate-sensitive sectors they become more sensitive to climate risk.
-Total number of agricultural households
- The more the number of agricultural households, the higher sensitive to climate change
-Percent of women population in agriculture
- More % of women involved in climate-sensitive agriculture makes them more sensitive to climate risk
-The income gap between women and men
-((DHS, GlobalDataLab)
-The high income gap led to less ability to invest in climate change adaptation
-The education gap between women and men
-(DHS, GlobalDataLab)
-High education gap led to low awareness and adoption of climate-smart interventions
-Health gap between women and men
-The high health gap led low ability to invest labor in adaptation activities/p>
-% of the population having access to different sources of finance
- More population have access to finance to increase their investment capacity in adaptive technologies and practices
-Total number of commercial agriculture farms
-Commercialization of agriculture increases investment in climate adaptive technologies and practices
-Agriculture households’ access to ICT services
-High access to ICT helps increase access to climate and market information
-Total number of women in entrepreneurship
-(Uganda National Household Survey 2019/20, UBOS)
-More women in entrepreneurship increase their adaptive capacity to climate change
-The total area covered by pavement road
-(Ministry of Works and Transport, Uganda)
-High road density increases access to the market and adaptive technologies
-Total number of women elected in local government
-(Women in Local Government, 2019, UBOs)
-A high level of women’s participation in local government helps to decide women-sensitive programs in agriculture
-The total amount of renewable freshwater available to a sub-basin includes surface flow, interflow, and groundwater recharge (cm/year).
-(Aqueduct (World Resources Institute). Available here)
-The amount available water for different purposes (e.g. agriculture, domestic, and industrial
-Gross demand is the maximum potential water required to meet sectoral demands. Sectoral water demand includes domestic, industrial, irrigation, and livestock (cm/year).
-A high level of water demand indicates a high level of sensitivity to climate change
-Percentage of household access to safe drinking water
-(Uganda Demographic and Health Survey 2022. UBOS)
- 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
-% of households where women were involved in water collection
-The more women are involved in water collection, the more they become sensitive to climate change
- High education gap led to low awareness and adoption of climate-smart interventions
-Are under different types of forest
-The more the area under forest indicate more water regulation
-Rainwater harvesting facilities
-More rainwater harvesting facilities make it more adaptive to rainfall changes
-(Women in Local Government, 2019, UBOS)
-Community watershed protection projects
-A high level of watershed protection activities increases climate change adaptation capacity
-More population have access to finance to increase their investment capacity in adaptive technologies and practices
-[https://www.ubos.org/explore-statistics/0/
-% of households with access to energy supply
-(Uganda National Household Survey 2019/20,UBOS)
- Households connected to energy supply become more sensitive to CC
-% of households using firewood for cooking and heating
- Households using firewood become more sensitive to CC
-% of households using charcoal for cooking and heating
-Households using charcoal become more sensitive to CC
-Availability of energy supply power plants
-(Source: Energy Access Explorer (open access geospatial platform))
- More energy supply facilities/plants more sensitive to climate change
-Total women population
-(Sub-national population by sex 2023, UBOS)
-More number of woman becomes sensitive in a location with a large women population
-Estimated total energy demand by district based on population and different uses e.g. domestic, public services, agriculture, and industrial uses.
-[Source: Energy Access Explorer (open access geospatial platform)]
-Locations with high energy demand become more sensitive to climate change
-Percentage of households connected with grid energy supply
-Percentage of the population having access to different sources of finance
-https://globaldatalab.org/
-Energy supply infrastructure
-[Energy Access Explorer (open access geospatial platform)]
- Locations with high energy supply infrastructure are more adaptive to climate change