UK unemployment rate: London
UK unemployment rate: London stood at 6.8% in Jun 2026, according to Office for National Statistics (ONS). It is one of the indicators in the Labour market table (Value · Monthly), with a complete series running from Apr 1992 to Jun 2026. The complete series with an interactive chart, free to download.
This indicator in the Labour market table
| Indicator | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | 10-2025 | 09-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Unemployment rate by region | |||||||||||
| London | 6.8 | 6.5 | 6.5 | 6.7 | 7.3 | 7.1 | 7.8 | 7.4 | 7.1 | 6.7 | |
| South East | 4.2 | 4.1 | 4 | 3.8 | 3.8 | 3.9 | 4 | 4 | 4.1 | 4.1 |
Understanding UK unemployment rate: London
This indicator calculates the percentage of the economically active population that is unemployed and searching for work within the capital. The target population comprises residents aged sixteen and above who are without employment, available to begin work, and actively seeking a position within this specific metropolitan area. Excluded are individuals who reside outside the designated boundary, even if they commute into the territory for work. This regional measure highlights local labour market conditions distinct from national aggregates.
Interpreting metropolitan unemployment data requires recognising high sensitivity to commuter flows, student populations, and population mobility. Early estimates for sub-national geographies are subject to larger revisions due to smaller sample sizes compared to national totals. Period-on-period volatility is common, meaning analysts should examine rolling averages or year-on-year changes to assess genuine direction. Researchers must also account for high living costs and housing dynamics that uniquely influence labour force participation in capital cities.
Frequently asked questions
- Does this measure include people who commute into the capital for work?
- No, it is a residence-based measure covering only people who live within the area.
- Why are sub-national series prone to larger data revisions?
- Smaller sample sizes at the regional level mean survey estimates carry wider confidence intervals and are more sensitive to weighting updates.
- How should analysts evaluate monthly volatility in this rate?
- Focusing on longer-term trends or rolling averages helps smooth out survey noise inherent in regional data.