MacroDataHub

France jobseekers in Loire-Atlantique: category A

France jobseekers in Loire-Atlantique: category A stood at 62,330 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
Pays de la Loire
Loire-Atlantique62,33056,78052,94053,20052,63055,40058,65060,02058,42058,720

Understanding france jobseekers in Loire-Atlantique: category A

Tracking individuals domiciled within the Loire-Atlantique jurisdiction who maintain active registration files without recording any hours of professional activity, this indicator captures category A jobseekers. The enumeration covers local residents who are immediately available for work and have earned zero professional income during the reference month. This distinguishes the series from companion metrics that tally individuals working reduced hours or participating in professional training programs.

Evaluating these monthly figures requires accounting for local seasonal employment patterns, particularly in sectors prone to weather or tourism fluctuations. Year-on-year comparisons provide a more reliable assessment of labor market dynamics than consecutive monthly changes, which can be distorted by administrative processing schedules and calendar effects. Analysts must also be aware that changes in institutional administrative guidelines can introduce breaks in historical time series continuity.

Frequently asked questions

Does this dataset include individuals undertaking part-time employment?
No, part-time workers are segregated into different administrative categories.
What type of comparison best reveals underlying trends in the data?
Year-on-year comparisons are recommended to bypass seasonal noise and administrative processing variations.
Can administrative guideline changes impact long-term data analysis?
Yes, alterations in institutional rules can create structural breaks that affect historical comparability.

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