Unemployment rate in Mayenne department, France
Unemployment rate in Mayenne department, France stood at 5.8% in Q2 2026, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the Unemployment and employment (labour force survey) table (Value · Quarterly), with a complete series running from Q1 1982 to Q2 2026. The complete series with an interactive chart, free to download.
This indicator in the Unemployment and employment (labour force survey) table
| Indicator | Q2-2026 | Q1-2026 | Q4-2025 | Q3-2025 | Q2-2025 | Q1-2025 | Q4-2024 | Q3-2024 | Q2-2024 | Q1-2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Unemployment by region and area | |||||||||||
| Unemployment rates localized by department - Mayenne | 5.8 | 5.7 | 5.7 | 5.5 | 5.5 | 5.4 | 5.1 | 5.2 | 5 | 4.9 | |
| Unemployment rates localized by department - Meurthe-et-Moselle | 7.6 | 7.4 | 7.2 | 7 | 6.8 | 6.8 | 6.7 | 7 | 7 | 7.1 |
Understanding unemployment rate in Mayenne department, France
This regional labor metric calculates the share of the active workforce that is unemployed within Mayenne, utilizing standard international definitions of job search and availability. By focusing on this specific departmental boundary, the series provides targeted insight into local labor market conditions. It sits alongside other departmental indicators, offering a standardized basis for geographic comparison across the country.
When conducting analysis, users should note that sub-national estimates can exhibit higher volatility between quarters due to sample size constraints. Seasonally adjusted data provide the most reliable basis for tracking directional shifts over successive periods by eliminating recurring calendar effects. Comparisons with administrative registry figures should be avoided due to fundamental differences in conceptual coverage.
Frequently asked questions
- Does this series cover the entire population of Mayenne?
- It covers only the working-age population, specifically those active in the labor market, excluding children and retirees.
- Why might two different sources show different unemployment numbers for Mayenne?
- Discrepancies arise because survey methods rely on active search criteria, whereas administrative counts rely on registration status.
- How should trend analysis be conducted?
- Focus on multi-quarter movements in the seasonally adjusted series to filter out random survey noise and seasonal bumps.