MacroDataHub

France unemployment beneficiaries: Gers

France unemployment beneficiaries: Gers stood at 6,760 persons in Dec 2025, according to France Travail – statistiques et études (statistiques.francetravail.org). It is one of the indicators in the Unemployment benefits (monthly) table (Value · Monthly), with a complete series running from Jan 2020 to Dec 2025. The complete series with an interactive chart, free to download.

Source: France Travail – statistiques et études (statistiques.francetravail.org)Last updated: Curated by Bui Thanh Phuc
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This indicator in the Unemployment benefits (monthly) table

Indicator12-202511-202510-202509-202508-202507-202506-202505-202504-202503-2025
Occitanie
Gers6,7606,9206,6836,6076,8886,3046,1396,4476,4766,734
Haute-Garonne64,82065,30164,47364,03165,63660,43359,35461,49861,50063,363

Understanding france unemployment beneficiaries: Gers

The monthly count of individuals maintaining their legal residence in Gers who receive formal unemployment compensation payments comprises this series. The data tracks registered jobseekers who satisfy all statutory contribution and active search requirements, leaving out unregistered individuals and those supported by municipal or national solidarity allowances. The geographical isolation of the data ensures that trends reflect localized labor market conditions rather than broader regional averages.

Interpreting the series requires careful attention to seasonal agricultural cycles that generate predictable spikes and troughs throughout the calendar year. Early estimates published shortly after reference periods close are subject to routine administrative revisions. Analysts are advised to rely on year-on-year comparisons to filter out recurring seasonal noise and obtain an accurate reading of structural labor market changes.

Frequently asked questions

Does this dataset capture individuals who have exhausted their benefit entitlements?
No, benefit exhaustion removes individuals from this specific recipient count.
How does Gers compare to urban départements in this dataset?
While the definition of the beneficiary remains identical, the underlying volume and volatility reflect the distinct local economic structure.
Are revisions frequent enough to alter historical conclusions?
Revisions are typically minor and affect primarily the most recent reporting months.

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