Key Takeaways
- 68% of US consumers used professional movers for their last move in 2023.
- 42% of UK households moved due to job relocation in 2023.
- Globally, 55% of corporate employees accepted international assignments with relocation support in 2023.
- US removals workforce totaled 250,000 employees in 2023.
- UK moving industry employed 45,000 full-time workers in 2023.
- Global removals sector jobs grew 4.1% YoY to 1.2 million in 2023.
- The US removals industry average profit margin stood at 6.2% in 2023, up from 5.1% in 2022.
- Average revenue per moving company in the UK was £450,000 in 2023.
- Global top 10 removals firms generated $12.5 billion combined revenue in 2023.
- The global removals and relocation services market size was valued at USD 92.4 billion in 2022 and is expected to grow at a CAGR of 5.8% from 2023 to 2030.
- In the US, the moving services industry revenue reached $19.2 billion in 2023, marking a 3.4% increase from the previous year.
- Europe's household goods moving market is projected to expand from €15.6 billion in 2023 to €21.4 billion by 2028 at a CAGR of 6.5%.
- Average fleet vehicles per US moving firm: 12 trucks in 2023.
- Global average move volume: 15 cubic meters per household in 2023.
- US local moves average time 4.2 hours, long-distance 3 days in 2023.
Across markets, more people and companies choose professional, supported moves, driving rapid global industry growth.
Customer Behavior
Customer Behavior Interpretation
Employment Data
Employment Data Interpretation
Financial Performance
Financial Performance Interpretation
Market Size & Growth
Market Size & Growth Interpretation
Operational Metrics
Operational Metrics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lukas Bauer. (2026, February 13). Removals Industry Statistics. Gitnux. https://gitnux.org/removals-industry-statistics
Lukas Bauer. "Removals Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/removals-industry-statistics.
Lukas Bauer. 2026. "Removals Industry Statistics." Gitnux. https://gitnux.org/removals-industry-statistics.
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