Unemployment rate in Moselle department, France
Unemployment rate in Moselle department, France stood at 7.8% 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 - Moselle | 7.8 | 7.6 | 7.4 | 7.2 | 7.2 | 7.1 | 7.1 | 7.2 | 7.2 | 7.3 | |
| Unemployment rates localized by department - Nièvre | 7.3 | 7.3 | 7.3 | 7.1 | 7 | 6.9 | 6.6 | 6.8 | 6.8 | 6.9 |
Understanding unemployment rate in Moselle department, France
This departmental indicator calculates the ratio of unemployed residents actively seeking work to the total active labor force residing within Moselle. The metric compiles data from localized household surveys and administrative files to estimate the proportion of the workforce without a job, available for work, and taking active steps to find employment. Excluded from the active workforce denominator are individuals outside the labor market, such as full-time students, retirees, and persons not actively available for employment. This focused scope ensures the measure isolates localized labor market stress distinct from broader national trends.
Analyzing this series requires careful attention to the potential for sample-related volatility inherent in sub-national reporting. Analysts should interpret single-quarter shifts with caution, prioritizing multi-period trends to confirm underlying economic direction rather than reacting to short-term statistical noise. Revisions are common when weighting structures are updated to reflect new census benchmarks or administrative adjustments. When comparing these figures to neighboring administrative units, researchers should keep in mind that local commuting patterns and cross-border labor mobility can significantly influence the resident active population denominator.
Frequently asked questions
- How do cross-border workers affect this departmental calculation?
- Residents who commute across international borders for work are counted as employed, influencing the local denominator.
- What makes departmental rates more volatile than national figures?
- Smaller sample sizes at the local level introduce higher statistical variance from one quarter to the next.
- Are seasonal fluctuations smoothed out in this series?
- While seasonal adjustment is applied where possible, local seasonal hiring can still leave visible footprints in specific quarters.