Dalia EuroPulse survey finds 58% of Europeans would consider buying an EV; 34% approve of more gov’t support
In August, Berlin-based Dalia Research conducted an EU-wide survey to find out the demand for electric vehicles (EV) among Europeans. The results show that 58% of Europeans would consider purchasing an electric vehicle. Approximately 1% of respondents say they already own one, matching the current estimate of electric vehicle sales in Europe.
Although the Germans are leading the charge on a political level, it is the Italians who have the highest share of potentially interested customers: 54% of Germans would consider buying one, compared to 79% of Italians (lowest is the UK with 52%).
About one third of all Europeans (34%) say they would approve of “more government support for electric vehicles”. Across all EU countries, 22% would support higher vehicle emission taxes.
The results show there is no clear demographic who is most interested in EVs. There is no significant difference by gender, age, urban and rural populations, education or disposable income. It seems EVs are already an aspired product across different main consumer groups.
EuroPulse is a quarterly survey by Dalia Research across 28 EU countries and 21 languages. In every “wave” of the survey, Dalia interviews a census-representative sample of more than 10,000 Europeans to better understand EU-wide trends in public opinion, consumer attitudes and market developments. The survey setup treats the EU, from a statistical and sampling perspective, as if it were one country.
The results are based on the most recent wave of “EuroPulse”, which was conducted between 2-19 August 2016. The sample of n=11,754 was drawn across all 28 EU Member States, taking into account current population distributions with regard to age (14-65 years), gender and region/country.
An estimation of the overall design effect based on the distribution of weights was calculated at 1.59 at the global level. Calculated for a sample of this size and considering the design-effect, the margin of error would be +/-1.1 % at a confidence level of 95%.