Analyze existing information (secondary sources) or carry out representative surveys, to: - Identify beneficiaries, in detail: i) # of households, sex of household's head, members of the household, socio-economic status; ii) existence of facilities such as health clinics, schools, community centers and markets that could benefit from electricity supply service (if applicable). - analyze energy needs, consumption and usage (in the households, for paid and unpaid work) by women and men. i) Is there an health impact for using fossil fuel? (use for cooking, agriculture, etc.) ii) Who and how much time do they dedicate towards firewood collection? iii) What kind of productive activities are carried out in this context? Which roles do women and men play along the value chain? iv) Are there potential obstacles to access the electricity service (property rights over housing) and/or pay for the service (affordability) or contact customer support services (access to technology such as mobile phones)? - review representation and labor force within the sector (institutions, businesses, etc.), disaggregating by sex.
There are no projects asociated to the current activity.
Statistics and baselines resulting from the assessment
- Sex-disaggregated data about beneficiaries (male/female–headed households)
- Femininity index of poverty
- Population participating in consultations (joint or separate consultations). Data disaggregated by sex
- Women's and men's needs in regard to service
- % of disease prevalence due to household air pollution as a result of using solid fuels, by sex
- Harassment/violence rate, by sex
- School-age harassment/violence rate, by sex
- Time or money dedicated by women and/or men to ensure energy supply (firewood, coal, diesel, kerosene,etc.)
- Paid/Non-paid working hours, by sex (hour/person/month)
-Do married/non-married men and married/non-married women hold equal property rights?
- % of people using mobile phone to pay for service supply, disaggregated by sex
- Labor force within the sector (institutions, businesses, etc.), disaggregated by sex