Presidential 2022: Valérie Pécresse close to Emmanuel Macron in the first round and ahead in the second, according to a – franceinfo

Valérie Pécresse takes off in the voting intentions. The candidate, who has just been appointed by the LR congress, climbs to 20% of the voting intentions in the first round of the presidential election, according to an Elabe poll for BFMTV/ L’Express published Tuesday, December 7. The survey was carried out after the nomination of the candidate on Saturday and the meetings of Eric Zemmour and Jean-Luc Mélenchon on Sunday.

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The president of the Île-de-France region takes full advantage of the “primary” effect by gaining 11 points compared to the previous study by this institute carried out on 23 and 24 November. Emmanuel Macron is credited with 23% of voting intentions, down two points. In the event of a second round between these two candidates, the outgoing president is given narrowly defeated, at 48% against 52% for Valérie Pécresse.

In the first round, these two candidates are well ahead of the RN candidate Marine Le Pen at 15% (-5) and Eric Zemmour at 14% (+1). The main left-wing candidates are all down by one point and below 10%: Jean-Luc Mélenchon is given at 8%, the ecologist Yannick Jadot at 7, the socialist Anne Hidalgo at 3. Follow Arnaud Montebourg ( 2%,), Nicolas Dupont-Aignan (2%), Jean Lassale (2%), Philippe Poutou (2%), Fabien Roussel (1%) and Nathalie Arthaud (1%).

According to the survey, 57% (+1) of voters say they are “quite certain to vote” in the presidential election of 2022 but “44% of voters intending to vote are not sure of their choice and could change their mind”. Voting intentions do not constitute a forecast of the outcome of the ballot. They give an indication of the balance of power and dynamics on the day of the survey.

* Survey carried out on the internet on December 6 and 7, 2021, with a sample of 1,474 people representative of residents of mainland France aged 18 and over, including 1,354 registered on the electoral lists, according to the quota method. The margin of error is between 1.2 and 3.1 percentage points.