MacroDataHub

France jobseekers in Creuse: category A

France jobseekers in Creuse: category A stood at 4,060 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
Nouvelle-Aquitaine
Creuse4,0603,9203,7003,8103,8303,9804,1004,1804,2104,080

Understanding france jobseekers in Creuse: category A

Recording individuals registered as jobseekers within Creuse who report zero hours of employment provides a direct count of total local joblessness. The dataset isolates category A, omitting any individual engaged in reduced work hours, training, or subsidized employment schemes. Geographic assignment is based strictly on the registrant's primary residential address inside the département. This ensures the figures reflect the resident population rather than administrative office locations, distinguishing the data from broader labor utilization metrics.

Interpreting the monthly figures requires accounting for demographic structures and seasonal employment rhythms that influence rural labor markets. Initial monthly estimates are provisional and subject to minor adjustments as administrative records are updated. Analysts evaluating the data should focus on annual comparisons to filter out transient calendar effects and administrative backlogs. Comparing these numbers with larger regional aggregates helps contextualize local economic performance against broader benchmarks.

Frequently asked questions

Does this Creuse series include individuals with part-time jobs?
No, category A strictly excludes anyone reporting positive hours of work during the reference month.
Why are preliminary monthly estimates adjusted later?
Administrative offices routinely update files to account for late declarations and status changes.
What is the most reliable method to track trends in this series?
Twelve-month comparisons offer the most honest assessment by smoothing out seasonal and administrative noise.

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