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Latest TEG Road Transport Index out now
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The latest data from the TEG Road Transport Price Index reveals that haulage and courier prices have increased in March. This comes following two consecutive months of price declines in January and February.
The overall price index has increased by 3 points, to reach 117.7, in the last month. This marks a small increase in prices year-on-year, although only by 2.1%. Prices have increased in March every year since the beginning of the index in 2019. After the rush of the busy season, where prices reach their peak in December, January and February often bring much lower average prices. Trends show that, in March, prices start to rise again.
The price increases seen across haulage and courier vehicle services were not significant, with haulage prices rising by 2 points and courier prices by 2.5 points.
Year-on-year data tells a different story, with courier prices rising 1 point, whilst haulage prices have increased by 4 points.
The TEG Road Transport Price Index provides a monthly overview of the price-per-mile cost for vehicles used in the UK's haulage and courier industry. This index considers various factors, including supply and demand levels as affected by Brexit, Covid-19, driver shortages, and other economic factors.
Stay up-to-date on the latest trends and pricing in the UK's road transport industry by following the TEG Road Transport Price Index.
The TEG Road Transport Index: Accurate Tracking of Price per Mile
The TEG Road Transport Index is a comprehensive tool that uses an arithmetic weighting system to track changes in Price per Mile (PPM) each month. The index is based on a January 2019 baseline and uses the Paasche formula to apply weighting according to the mileage mix from each vehicle type. This ensures that each month's PPM is compared accurately with the base month. Stay informed with the industry's leading metric for transportation costs.
The data is gathered, anonymised, and aggregated from over two million spot market loads transacted across the TEG platforms, before being validated, analysed and published.
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