Local bus statistics in Great Britain, including passengers, mileage and vehicle fleet, for the year ending March 2021.
The summary relates only to England to match the coverage of the Department for Transport bus policy, but the tables also cover Scotland and Wales.
In the year ending March 2021, the number of bus passenger journeys:
In the year ending March 2021, bus service mileage:
At March 2021, 99% of buses in England had the accessibility certificate which were required for all buses operating local services by 2017 at the latest.
This publication covers the year to 31 March 2021, which includes periods during which movement restrictions were in place due to the coronavirus (COVID-19) pandemic. The collection of passenger data is not granular enough to distinguish numbers of passenger journeys at different points during this period. An indication of changes in bus passenger volume during this period can be found in the separate weekly release covering transport use during the coronavirus (COVID-19) pandemic.
Bus statistics
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Haulier coronavirus testing, Great Britain, since 23 December 2020. Dataset has now been discontinued since 02/03/2022.
Statistics on the number of local bus:
in Great Britain.
For the year ending June 2021, the number of local bus passenger journeys in:
Comparing local bus passenger journeys for April to June 2021 to April to June 2020, we see:
The local bus fares index increased by 1.5% in England between June 2020 and June 2021.
For other areas, the local bus fares index change was a:
The Consumer Price Index (CPI) increased by 2.5% over the same 12-month period.
This publication covers April to June 2021, which coincides with the application of movement restrictions due to COVID-19 in Great Britain. The collection of passenger data is not granular enough to distinguish numbers of passenger journeys before and after restrictions were announced. An indication of changes in bus passenger volume during this period can be found in the separate weekly release covering transport use during the coronavirus (COVID-19) pandemic.
Bus statistics
Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk
Public enquiries 020 7082 6602
Media enquiries 020 7944 3021
Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and Local ‘A’ Roads in England, in 2020.
Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">Analysis on the impact of the Coronavirus (COVID-19) pandemic on the road journeys is also available. This story map contains charts and interactive maps for road journeys in England.
On the Strategic Road Network (SRN) for 2020, the average delay is estimated to be 6.7 seconds per vehicle per mile compared to speed limits travel times, a 29.5% decrease compared to 2019.
The average speed is estimated to be 61.8mph, 5.1% up on 2019.
In 2020, on average 42.1% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 25.2 percentage points compared to 2019, so on average a lower proportion of additional time is required.
On local ‘A’ roads for 2020, the average delay is estimated to be 33.9 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 22.8% on 2019.
The average speed is estimated to be 27.3 mph. This is an increase of 8.2% on 2019.
Please note a break in the statistical time series for local ‘A’ roads travel times has been highlighted beginning January 2019.
Please note that figures for the SRN and local ‘A’ roads are not directly comparable.
The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. While values had previously been moving towards their pre-lockdown levels, this trend appears to have reversed in the months following September 2020.
Road congestion and travel times
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Statistics on attitudes around travel and transport issues during the coronavirus (COVID-19) pandemic, asked of people who have completed the main National Travel Survey.
Questions in Wave 4 were put to 5,299 individuals and includes responses on a wide array of topics, including:
At least 34% of respondents who travel by walking or cycling reported an increase in these modes.
Between May and July, people reported 59% less trips to visit family and friends than in the same period in 2019. During August and September, trips to visit family and friends were down 36% compared to 2019.
Between May and September, people reported going out for exercise more than twice as often compared to before the coronavirus pandemic.
National Travel Survey statistics
Email mailto:national.travelsurvey@dft.gov.uk">national.travelsurvey@dft.gov.uk
Statistics on road freight transported by Great Britain and UK registered Heavy Goods Vehicles (HGVs) in the United Kingdom and internationally from July 2019 to June 2020.
Domestic road freight activity by Great Britain registered HGVs operating in the UK decreased in the 12-month period ending June 2020 compared to the 12-month period ending June 2019.
The amount of goods:
International road freight activity by UK-registered HGVs transporting freight internationally decreased in the 12-month period ending June 2020 compared to the 12-month period ending June 2019.
The amount of goods:
These statistics cover the period following the government’s announcement of measures to limit the impact and transmission of the coronavirus (COVID-19) pandemic. In early March 2020 the UK government set out four phases in its response to the coronavirus pandemic. The evolving situation may have also impacted the activity of road goods vehicles prior to this stage. Coronavirus has had a wide impact on UK society and economic activity since March 2020.
As these data are affected by the coronavirus pandemic, caution should be taken when interpreting these data and comparing them with previous time periods.
Road freight statistics
Email mailto:roadfreight.stats@dft.gov.uk">roadfreight.stats@dft.gov.uk
Media enquiries 0300 7777 878
On the Strategic Road Network (SRN) for the year ending September 2020, the average delay is estimated to be 7.8 seconds per vehicle per mile compared to speed limits travel times, a 17.0% decrease compared to the year up to September 2019.
The average speed is estimated to be 60.6 mph, 2.9% up on the year ending September 2019.
In the year to September 2020, on average 52.5% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 14.3 percentage points compared to the year ending September 2019, so on average a lower proportion of additional time is required.
On local ‘A’ roads for the year ending September 2020, the average delay is estimated to be 36.6 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 16.1% on the year ending September 2019.
The average speed is estimated to be 26.6 mph. This is an increase of 5.1% on the year ending September 2019.
Please note a break in the statistical time series for local ‘A’ roads travel times has been highlighted beginning January 2019.
Please note that figures for the SRN and local ‘A’ roads are not directly comparable.
The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. Although values for the speed and delay statistics are gradually returning towards their pre-lockdown values, they remain markedly different than historical trends.
Road congestion and travel times
Email mailto:congestion.stats@dft.gov.uk">congestion.stats@dft.gov.uk
Media enquiries 0300 7777 878
A coronavirus identified in 2019, SARS-CoV-2, has caused a respiratory illness pandemic called COVID-19. Most people with COVID-19 experience moderate to mild symptoms and do not need special treatments to recover. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) has a crucial part in the virus cycle. The active site of the RdRp is a highly accessible area, so focusing on this region to investigate the inhibition of viral replication is an effective therapeutic strategy. The use of pre-existing drugs for the new coronavirus has been proposed by scientists around the world. However, its effectiveness is relatively limited. Other researchers have described the use of available antiviral compounds to reduce the cost and time of new drug development. Therefore, a number of ligands used as SARS-CoV-2 inhibitors have been selected in this study, such as: Darunavir (Daru), Dolutegravir (Dolu), Dexamethasona (Dexame), Ganciclovir (Gan), Fosamprenavir (Fosam), Lopinavir (Lop), Insoine (Inso), Tipranavir (Tipra) and Ritonavir (Rito). These ligands have been analysed by molecular docking and molecular quantum similarity, using several similarity indices such as Coulomb, overlap and Euclidean distances. The results have been supported by chemical reactivity indices defined in the conceptual-density functional theory framework. The main stabilising interactions in the crystal structure of the SARS-CoV-2 RNA-dependent RNA polymerase have been identified in this study. In this sense, this study contributes new insights about these ligands that can be used in the development of new COVID-19 treatments.
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A novel coronavirus, previously designated 2019-nCoV, was identified as the cause of a cluster of pneumonia cases in Wuhan, a city in the Hubei Province of China, at the end of 2019. Our objective focuses on the in silico study to screen for an alternative drug that can block the activity of the angiotensin converting enzyme 2 (ACE2), which is a key protein in the physiology of Covid-19, necessary for the entry of the SARS-Cov-2 virus into the host's cells using natural compounds especially phenolic antioxidants, polyphenolics and pharmaceutically phytochemicals derived from the leaves of Corchorus olitorius Linn, appear to be very potential in controlling virus-induced infection. The results of the docking simulation revealed that méthyl-1,4,5-tri-O-caféoyl quinate has a stronger bond, high affinity and gives the best docking scores compared to, the co-crystallized inhibitor (PRD_002214) of the enzyme ACE2, chloroquine, hydroxychloroquine, captopril and simerprevir antiviral drugs. The ADMET properties, Pharmacokinetics and Medicinal Chemistry & P450 site of metabolism prediction, pharmacophore Mapper enzyme revealed that the compound méthyl-1,4,5-tri-O-caféoyl quinate generates a hypothesis which can be applied successfully in biological screening for further experiments. The novel MD computational technique study showed better conformational movements result for the méthyl-1,4,5-tri-O-caféoyl quinate-ACE2 docked complex. Therefore méthyl-1,4,5-tri-O-caféoyl quinate may be considered to be potential inhibitor of the main protease enzyme of virus, but need to be investigated in vivo and in vitro for further drug development process. Communicated by Ramaswamy H. Sarma
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Experimental estimates to monitor the use of the transport system during the coronavirus (COVID-19) pandemic using Department for Transport (DfT) data.
Statistics on motor vehicles that were registered for the first time during July to September 2020 and those that were licensed at the end of September 2020.
Recent trends in new vehicle registrations have been heavily affected by the measures implemented from March 2020 onwards to limit the impact of the coronavirus (COVID-19) pandemic.
During July to September 2020, there were:
At the end of September 2020, there were:
Vehicles statistics
Email mailto:vehicles.stats@dft.gov.uk">vehicles.stats@dft.gov.uk
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Coronaviruses (CoVs) have been responsible for three major outbreaks since the beginning of the 21st century, and the emergence of the recent COVID-19 pandemic has resulted in considerable efforts to design new therapies against coronaviruses. Thus, it is crucial to understand the structural features of their major proteins related to the virus–host interaction. Several studies have shown that from the seven known CoV human pathogens, three of them use the human Angiotensin-Converting Enzyme 2 (hACE-2) to mediate their host’s cell entry: SARS-CoV-2, SARS-CoV, and HCoV-NL63. Therefore, we employed quantum biochemistry techniques within the density function theory (DFT) framework and the molecular fragmentation with conjugate caps (MFCC) approach to analyze the interactions between the hACE-2 and the spike protein-RBD of the three CoVs in order to map the hot-spot residues that form the recognition surface for these complexes and define the similarities and differences in the interaction scenario. The total interaction energy evaluated showed a good agreement with the experimental binding affinity order: SARS-2 > SARS > NL63. A detailed investigation revealed the energetically most relevant regions of hACE-2 and the spike protein for each complex, as well as the key residue–residue interactions. Our results provide valuable information to deeply understand the structural behavior and binding site characteristics that could help to develop antiviral therapeutics that inhibit protein–protein interactions between CoVs S protein and hACE-2.
On the Strategic Road Network (SRN) for year ending March 2022, the average delay is estimated to be 8.8 seconds per vehicle per mile (spvpm), compared to free flow, a 31.3% increase on the previous year.
The average speed is estimated to be 58.6 mph, down 3.5% from year ending March 2021.
On local ‘A’ roads for year ending March 2022, the average delay is estimated to be 47.7 spvpm compared to free flow.
The average speed is estimated to be 23.8 mph.
Please note that figures for the SRN and local ‘A’ roads are not directly comparable.
The Department for Transport (DfT) went through an open procurement exercise and have changed GPS data providers. This led to a step change in the statistics and inability to compare the local ‘A’ roads data historically. These changes are discussed in the methodology notes.
The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">analysis on the impact of the coronavirus pandemic on road journeys in 2020 is also available. This story map contains charts and interactive maps for road journeys in England in 2020.
Road congestion and travel times
Email mailto:congestion.stats@dft.gov.uk">congestion.stats@dft.gov.uk
Media enquiries 0300 7777 878
These quarterly statistics have been produced in addition to the regular annual statistics, to provide more timely information on compliance with speed limits during the coronavirus (COVID-19) pandemic.
As effects of the pandemic on speed limit compliance have reduced, this release is the last in the quarterly series.
They provide insight into the speeds at which drivers choose to travel and their compliance with speed limits under free flow conditions but should not be taken as estimates of actual compliance or actual average speed across the wider road network.
Long-term trends in vehicle speed limit compliance have usually been stable over time. Without coronavirus, we would have expected this to continue.
In October to December 2021:
January 2021 saw England enter a third national lockdown and Scotland a second national lockdown while Wales continued its third national lockdown, which had begun in December 2020. These lockdowns significantly reduced daily traffic levels, however, traffic levels remained higher than those seen in April to June 2020.
By June 2021, overall road traffic levels had returned to levels close to those seen before the pandemic. During October to December 2021, these levels were comparable to those seen before the pandemic.
Road traffic and vehicle speed compliance statistics
Email mailto:roadtraff.stats@dft.gov.uk">roadtraff.stats@dft.gov.uk
Media enquiries 0300 7777 878
Abstract copyright UK Data Service and data collection copyright owner.
The International Passenger Survey (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.International Passenger Survey and COVID-19
The Office for National Statistics notes that International Passenger Survey (IPS) interviewing was suspended on 16 March 2020 because of the coronavirus (COVID-19). It is not certain when it will resume.
Travel and tourism estimates for Quarter 1 (Jan to Mar) 2020 have been published to make the best possible use of the available data. The ONS expect that publishable estimates for March 2020 can be produced using the data collected up to 16 March 2020. The data available from UKDS covers Quarter 1 2020 with four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.
No IPS data will be collected for the period when the survey is not operational, and the usual travel and tourism outputs from the IPS will not be published for this period. However, the IPS team will publish information to help users to understand trends in total international travel, based on the available administrative data from the Civil Aviation Authority (CAA) and the Department for Transport (DfT). This will provide figures on numbers of international journeys arriving into and departing from the UK, but there will be no information about the characteristics of these passengers.
Further information can be found on the ONS Travel Trends webpage.
Each of the four subject areas covers different topics:
The analysis of the National Travel Survey for 2020 shows disabled adults (aged 16 years and over) in England:
Both disabled and non-disabled adults rely predominantly on car travel. It accounts for around 3 in 5 trips for both groups. However, around a third of the trips made by disabled adults where car was the main mode were as a passenger, whereas for non-disabled adults around a fifth were as a passenger.
The statistics in this release have been impacted by the national restrictions implemented from March 2020 onwards in response to the coronavirus (COVID-19) pandemic.
Transport: disability, accessibility and blue badge statistics
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The statistics are collected annually to inform the development and monitoring of light rail policy. Figures present information on usage, infrastructure and revenue for the 8 systems which are urban and primarily surface-running.
In the financial year ending March 2022:
When comparing to the financial year ending March 2021:
The coronavirus (COVID-19) pandemic has had an impact on every aspect of life in the United Kingdom, which has affected almost all statistical trends across the transport sector. The impact of the pandemic on the number of light rail and tram passenger journeys has been less marked in the year ending March 2022 than the previous year ending March 2021, due to there being less restrictions on movement and activities during this period.
Bus statistics
Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk
Public enquiries 020 7082 6602
Media enquiries 020 7944 3021
Estimates of road traffic by:
in Great Britain for the year 2020.
Road traffic trends during 2020 have been affected by the coronavirus (COVID-19) pandemic in the UK. Motor vehicle traffic on Great Britain roads decreased by 21.3% between 2019 and 2020, to 280.5 billion vehicle miles.
When compared to the year 2019:
Road traffic and vehicle speed compliance statistics
Email mailto:roadtraff.stats@dft.gov.uk">roadtraff.stats@dft.gov.uk
Public enquiries 020 7944 3095
Abstract copyright UK Data Service and data collection copyright owner.
The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds data from 1972 onwards). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies.Changes to the methodology in 2002 mean that there are some inconsistencies with data for previous years. Most notably, an under-recording of short walks in 2002 and 2003 affects trends over this period, particularly in the number of trips per person.
2020 and 2021 Disclaimer:
Due to changes in the methodology of data collection, changes in travel behaviour, and a reduction of data collected during 2020 and 2021 as a result of the coronavirus (COVID-19) pandemic, care should be taken when interpreting this data and comparing it to other years due to the small sample sizes. Please see the background documentation for further details of these changes.
Latest edition information:
For the eighteenth edition (September 2024), data and documentation for 2023 have been added to the study.
Data labels
Users should note that the SPSS and Stata files for 2023 have been converted from CSV format and do not currently contain variable or value labels. Complete metadata information can be found in the Excel Lookup table files and the NTS Data Extract User Guide within the documentation.
Statistics on taxi and private hire vehicles (PHV) in England show at end March 2022:
The statistics in this release will have been impacted to some extent by the national restrictions implemented from March 2020 onwards in response to the coronavirus (COVID-19) pandemic.
Taxi statistics
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Media enquiries 0300 7777 878
Local bus statistics in Great Britain, including passengers, mileage and vehicle fleet, for the year ending March 2021.
The summary relates only to England to match the coverage of the Department for Transport bus policy, but the tables also cover Scotland and Wales.
In the year ending March 2021, the number of bus passenger journeys:
In the year ending March 2021, bus service mileage:
At March 2021, 99% of buses in England had the accessibility certificate which were required for all buses operating local services by 2017 at the latest.
This publication covers the year to 31 March 2021, which includes periods during which movement restrictions were in place due to the coronavirus (COVID-19) pandemic. The collection of passenger data is not granular enough to distinguish numbers of passenger journeys at different points during this period. An indication of changes in bus passenger volume during this period can be found in the separate weekly release covering transport use during the coronavirus (COVID-19) pandemic.
Bus statistics
Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk
Media enquiries 0300 7777 878