MacroDataHub

France jobseekers in Moselle: category A

France jobseekers in Moselle: category A stood at 48,340 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
Grand Est
Moselle48,34046,48045,20045,61045,91047,23049,39049,53047,46046,290

Understanding france jobseekers in Moselle: category A

Isolating residents within the Moselle territory who hold active administrative files while reporting zero hours of work, this measure provides a monthly account of category A jobseekers. The count includes individuals who satisfy all registration requirements, remain immediately available for employment, and have undertaken no professional activity during the reference month. The data explicitly excludes individuals who report partial employment or are enrolled in active labor market integration measures.

When interpreting this monthly series, analysts must account for recurring seasonal hiring cycles and administrative deadlines that influence registration volumes. Comparing figures against the same period of the prior year provides a clearer view of underlying trends by filtering out predictable calendar irregularities. Users should also remember that administrative figures reflect institutional rules and filing behaviors, meaning that direct comparisons with survey-based unemployment rates require careful methodological adjustment.

Frequently asked questions

What criteria define the population captured in this dataset?
The dataset includes individuals registered as unemployed who report zero hours of work and are immediately available.
How can analysts filter out recurring calendar anomalies in the monthly data?
Evaluating year-on-year changes helps neutralize seasonal patterns and holiday disruptions.
Why is it important to distinguish administrative data from survey measures?
Administrative data depends on institutional registration rules, whereas surveys follow standardized statistical definitions.

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