TEG Road Transport Price Index remains stable in July as fuel price drops for four consecutive weeks

While courier prices reach their highest-ever level, the average price-per-mile for haulage drops

Integra makes sense of the road transport landscape. Get more insight with Integra, TEG’s enterprise solution.

Trends at a glance

The overall index increased marginally this month, rising by just 0.9 points

Courier prices were behind the uplift: they continued to rise, from 124.9 in June to 128.3 in July. This marks their highest level since the index began in January 2019.

However, haulage prices decreased from 118.5 in June to 116.8 in July. Although this is the fourth time they’ve dropped this year, there is a general pattern of growth following the usual post-Christmas downturn in prices. 

Want to see more in depth data? Click below to visit the Integra Market Data Reports

Providing vital insight into the transport industry that the UK depends upon

The TEG Road Transport Price Index charts the price-per-mile cost for UK haulage and courier vehicles each month, which is a product of supply and demand levels affected by Brexit, Covid-19, driver shortages and other factors.

What is the TEG Road Transport Price Index

  • Charts the price-per-mile cost for UK haulage and courier vehicles each month
  • Uses data from over four million aggregated and anonymised transactions
  • Provides valuable insights to policymakers and industry operators alike
  • Tracks changes and highlights market trends
Industry benchmarking
Single source of truth
Quick view on market trends

The methodology

The data

The TEG Road Transport Index is an arithmetic weighted series, tracking PPM (Price per Mile) each month against a base of January 2019.

Weighting is applied according to the mileage mix from each vehicle type using the Paasche formula. This ensures the PPM of each month is compared accurately with the base month.

Data is gathered from completed transactions on the TEG platforms. 

PPM = (sum order values) / (sum order miles)
 
Sample size is circa 2m orders per annum across c. 8,000 participants.  

Data ID: A3, B3, C3

View full reports

Want to see more in depth data? Click below to visit the Integra Market Data Reports