MacroDataHub

France jobseekers in Vaucluse: category A

France jobseekers in Vaucluse: category A stood at 35,140 persons in Aug 2026, according to DARES – Direction de l'animation de la recherche, des études et des statistiques (Ministère du Travail). It is one of the indicators in the Registered jobseekers (DARES) table (Value · Monthly), with a complete series running from Jan 1996 to Aug 2026. The complete series with an interactive chart, free to download.

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This indicator in the Registered jobseekers (DARES) table

Indicator08-202607-202606-202605-202604-202603-202602-202601-202612-202511-2025
France3,425,6003,247,8003,117,9003,175,4003,188,1003,323,9003,424,7003,476,7003,400,8003,389,000
Provence-Alpes-Côte d'Azur
Vaucluse35,14033,74032,01032,84033,81036,09038,30039,11038,36037,810

Understanding france jobseekers in Vaucluse: category A

Individuals domiciled within Vaucluse who perform zero hours of work during the reference month and actively seek any employment form part of this exact count. By capturing strictly category A registrants, the series isolates those completely devoid of professional activity, excluding anyone engaged in even reduced hours. This geographic allocation maps directly to local administrative boundaries rather than workplace locations, separating it from broader regional aggregations.

Interpreting monthly shifts requires accounting for predictable local labor market swings tied to tourism and agriculture, making year-on-year comparisons more reliable than consecutive-month evaluations. Administrative entries and exits reflect both job finding and compliance checks regarding monthly status updates. Analysts should avoid equating these administrative rolls with broader survey-based unemployment metrics, as registration rules impose specific constraints.

Frequently asked questions

Does this series include individuals working part-time?
No, category A is restricted strictly to those who performed zero hours of work during the reference period.
Why compare figures against the same month of the previous year?
Year-on-year comparison neutralizes strong seasonal swings caused by regional agricultural and tourism cycles.
Are these figures based on household surveys or administrative filings?
They derive entirely from administrative registrations at local employment offices rather than sample surveys.

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