Table 6 Summary of available expenditure data Survey Household Budget Survey Household expenditure on energy (actual) – this is often Relevant energy disaggregated by energy source or service. poverty variables Household income Energy vulnerability Affordability factor(s) Access addressed Coverage (non-EU EU28 (in addition to Macedonia, Turkey, Norway and in brackets) Switzerland) Cross-sectional or Cross-sectional longitudinal HBS are not harmonised across EU. Sampling varies by country, with no minimum standards. In the 2005 HBS round, the Sample size achieved sample sizes ranged from 1,570 (NL) to 52,217 (DE). See Eurostat (2009) for details. As detailed in Table 6, the only energy vulnerability factors that the HBS can be used to interrogate are affordability, by calculating if there is a high ratio between the cost of energy and household incomes, and access, given that energy expenditure is disaggregated by energy carrier within the microdata – although it offers no insight into whether the energy carriers used in the home are appropriate to meet household needs. Within some national HBS micro datasets, the energy affordability ratio (otherwise termed the energy burden) can be examined at the regional (NUTS 2) level, thus allowing for spatial considerations to be incorporated within analyses. Available indicators 1. Energy burden
Table 6 Summary of available expenditure data Survey Household Budget Survey Relevant energy poverty variables Household expenditure on energy (actual) – this is often disaggregated by energy source or service. Household income Energy vulnerability factor(s) addressed Affordability Access Coverage (non-EU in brackets) EU28 (in addition to Macedonia, Turkey, Norway and Switzerland) Cross-sectional or longitudinal Cross-sectional Sample size HBS are not harmonised across EU. Sampling varies by country, with no minimum standards. In the 2005 HBS round, the achieved sample sizes ranged from 1,570 (NL) to 52,217 (DE). See Eurostat (2009) for details. As detailed in Table 6, the only energy vulnerability factors that the HBS can be used to interrogate are affordability, by calculating if there is a high ratio between the cost of energy and household incomes, and access, given that energy expenditure is disaggregated by energy carrier within the microdata – although it offers no insight into whether the energy carriers used in the home are appropriate to meet household needs. Within some national HBS micro datasets, the energy affordability ratio (otherwise termed the energy burden) can be examined at the regional (NUTS 2) level, thus allowing for spatial considerations to be incorporated within analyses. Available indicators 1. Energy burden
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