Between November 2022 and November 2023, nearly 6.2 million people in England regularly participated in running, representing an increase of around five percent on the previous survey period. However, participation levels remained below the peak observed in 2019-20.

The number of people who participated in fell running in England increased in 2023 over the previous year. Overall, roughly 400 thousand individuals engaged in fell running in England that year. Fell running is a type of exercise where individuals run off-road and or uphill.

This statistic displays the results of a survey on the distribution of people who walked at least 10 minutes at a time in the last week in the United Kingdom (UK) in 2013 and 2017, by frequency. The survey was conducted via face-to-face interviews and gathered data from 1,331 respondents in December 2013 and 1,338 respondents in December 2017, from the UK. In 2013, it was found that 68 percent of respondents stated that they walked for at least 10 minutes at a time on four to seven days within the last week. More information about sports in Europe can be found in the Dossier: Fitness industry in Europe.

In 2018, a national governmental annual survey found out that approximately 4.5 percent of 5 to 10 year olds and 17.5 percent of 11 to 15 year old children in England go cross country, jogging or road running on a monthly basis. Running is the most popular sport in England, followed by fitness class. When it comes to adults, roughly 6.8 million people go running at least twice per month. Other UK countries
 In Scotland, roughly 14 percent of adults go running or jogging on a monthly basis, meaning at least on one occasion in the previous month at the time of being asked. Wales shows the same rate, also resulting in 14 percent of the population running at least once a month. Northern Ireland shows a very similar trend. Other sports Those living in the United Kingdom can participate in an almost endless array of sports, including golf, football, dance, hockey, cricket as well as many water and winter sports. For almost every sport there are club membership opportunities in the UK.

The 5km Hex GS Running Sand dataset shows a generalised view of the GeoSure Running Sand v8 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The Running Sand methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. This dataset provides an assessment of the potential for a geological deposit to show running sand behaviour under the action of flowing water, a characteristic usually of saturated sand and silt grade material. Complete Great Britain national coverage is available.

The statistic displays the result of a survey on running and jogging participation of pupils in primary and secondary schools in any form or setting in Wales 2018, by gender. In 2018, it was found that 68.6 percent of female respondents from secondary schools stated that they participated in some form of running or jogging in the last year.

In 2023, around 6.2 million individuals in England engaged in running as a sport activity. This marked an increase from the previous year, with approximately 5.9 million individuals participating in running.

This is the first set of live data that we have been able to pull from LabelTraxx now that it is fully installed in the factory. This data is pulled from the live Job Tickets that have been run through the factory and tracked in LabelTraxx which has involved the machine operators tracking make ready, running time and finishing time on each job. This data is then compared with the times and speed estimated at the front end, pulled through from the figures entered in the constants (hourly rates, estimated press speeds etc). this then gives us information required to look at the variance between the two, identify issues with individual jobs and then adjust our pricing accordingly.

Section 1: Introduction

Brief overview of dataset contents:

Current database contains anonymised data collected during exercise testing services performed on male and female participants (cycling, rowing, kayaking and running) provided by the Human Performance Laboratory, School of Medicine, Trinity College Dublin, Dublin 2, Ireland.

835 graded incremental exercise test files (285 cycling, 266 rowing / kayaking, 284 running)

Description file with each row representing a test file - COLUMNS: file name (AXXX), sport (cycling, running, rowing or kayaking)

Anthropometric data of participants by sport (age, gender, height, body mass, BMI, skinfold thickness,% body fat, lean body mass and haematological data; namely, haemoglobin concentration (Hb), haematocrit (Hct), red blood cell (RBC) count and white blood cell (WBC) count )

Test data (HR, VO2 and lactate data) at rest and across a range of exercise intensities

Derived physiological indices quantifying each individual’s endurance profile

Following a request from athletes seeking assessment by phone or e-mail the test protocol, risks, benefits and test and medical requirements, were explained verbally or by return e-mail. Subsequently, an appointment for an exercise assessment was arranged following the regulatory reflection period (7 days). Following this regulatory period each participant’s verbal consent was obtained pre-test, for participants under 18 years of age parent / guardian consent was obtained in writing. Ethics approval was obtained from the Faculty of Health Sciences ethics committee and all testing procedures were performed in compliance with Declaration of Helsinki guidelines.

All consenting participants were required to attend the laboratory on one occasion in a rested, carbohydrate loaded and well-hydrated state, and for male participants’ clean shaven in the facial region. All participants underwent a pre-test medical examination, including assessment of resting blood pressure, pulmonary function testing and haematological (Coulter Counter Act Diff, Beckmann Coulter, CA,US) review performed by a qualified medical doctor prior to exercise testing. Any person presenting with any cardiac abnormalities, respiratory difficulties, symptoms of cold or influenza, musculoskeletal injury that could impair performance, diabetes, hypertension, metabolic disorders, or any other contra-indicatory symptoms were excluded. In addition, participants completed a medical questionnaire detailing training history, previous personal and family health abnormalities, recent illness or injury, menstrual status for female participants, as well as details of recent travel and current vaccination status, and current medications, supplements and allergies. Barefoot height in metre (Holtain, Crymych, UK), body mass (counter balanced scales) in kilogram (Seca, Hamburg, Germany) and skinfold thickness in millimetre using a Harpenden skinfold caliper (Bath International, West Sussex, UK) were recorded pre-exercise.

Section 2: Testing protocols

2.1: Cycling

A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on an electromagnetically braked cycle ergometer (Lode Excalibur Sport, Groningen, The Netherlands). Participants initially identified a cycling position in which they were most comfortable by adjusting saddle height, saddle fore-aft position relative to the crank axis, saddle to handlebar distance and handlebar height. Participant’s feet were secured to the ergometer using their own cycling shoes with cleats and accompanying pedals. The protocol commenced with a 15-min warm-up at a workload of 120 Watt (W), followed by a 10-min rest. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a workload of 100 or 120 W for female and male participants, respectively, and subsequently increasing by a 20, 30 or 40 W incremental increase every 3-min depending on gender and current competition category. During assessment participants maintained a constant self-selected cadence chosen during their warm-up (permitted window was 5 rev.min−1 within a permitted absolute range of 75 to 95 rev.min−1) and the test was terminated when a participant was no longer able to maintain a constant cadence.

Heart rate (HR) data were recorded continuously by radio-telemetry using a Cosmed HR monitor (Cosmed, Rome, Italy). During the test, blood samples were collected from the middle finger of the right hand at the end of the second minute of each 3-min interval. The fingertip was cleaned to remove any sweat or blood and lanced using a long point sterile lancet (Braun, Melsungen, Germany). The blood sample was collected into a heparinised capillary tube (Brand, Wertheim, Germany) by holding the tube horizontal to the droplet and allowing transfer by capillary action. Subsequently, a 25μL aliquot of whole blood was drawn from the capillary tube using a YSI syringepet (YSI, OH, USA) and added into the chamber of a YSI 1500 Sport lactate analyser (YSI, OH, USA) for determination of non-lysed [Lac] in mmol.L−1. The lactate analyser was calibrated to the manufacturer’s requirements (± 0.05 mmol.L−1) before each test using a standard solution (YSI, OH, USA) of known concentration (5 mmol.L−1) and analyser linearity was confirmed using either a 15 or 30 mmol.L-1 standard solution (YSI, OH, USA).

Gas exchange variables including respiration rate (Rf in breaths.min-1), minute ventilation (VE in L.min-1), oxygen consumption (VO2 in L.min-1 and in mL.kg-1.min-1) and carbon dioxide production (VCO2 in L.min-1), were measured on a breath-by-breath basis throughout the test, using a cardiopulmonary exercise testing unit (CPET) and an associated software package (Cosmed, Rome, Italy). Participants wore a face mask (Hans Rudolf, KA, USA) which was connected to the CPET unit. The metabolic unit was calibrated prior to each test using ambient air and an alpha certified gas mixture containing 16% O2, 5% CO2 and 79% N2 (Cosmed, Rome, Italy). Volume calibration was performed using a 3L gas calibration syringe (Cosmed, Rome, Italy). Barometric pressure recorded by the CPET was confirmed by recording barometric pressure using a laboratory grade barometer.

Following testing mean HR and mean VO2 data at rest and during each exercise increment were computed and tabulated over the final minute of each 3-min interval. A graphical plot of [Lac], mean VO2 and mean HR versus cycling workload was constructed and analysed to quantify physiological endurance indices, see Data Analysis section. Data for VO2 peak in L.min-1 (absolute) and in mL.kg-1.min-1 (relative) and VE peak in L.min-1 were reported as the peak data recorded over any 10 consecutive breaths recorded during the last minute of the final exercise increment.

2.2: Running protocol

A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a motorised treadmill (Powerjog, Birmingham, UK). The running protocol, performed at a gradient of 0%, commenced with a 15-min warm-up at a velocity (km.h-1) which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity. Subsequently, the warm-up was followed by a 10 minute rest / dynamic stretching phase. From a safety perspective during all running GxT participants wore a suspended lightweight safety harness to minimise any potential falls risk. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal running velocity which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity, and subsequently increased by ≥ 1 km.h-1 every 3-min depending on gender and current competition category. The test was terminated when a participant was no longer able to maintain the imposed treadmill.

Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.

2.3: Rowing / kayaking protocol

A discontinuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a Concept 2C rowing ergometer (Concept, VA, US) in rowers or a Dansprint kayak ergometer (Dansprint, Hvidovre, Denmark) in flat-water kayakers. The protocol commenced with a 15-min low-intensity warm-up at a workload (W) dependent on gender, sport and competition category, followed by a 10-min rest. For rowing the flywheel damping (120, 125 or 130W) was set dependent on gender and competition category. For kayaking the bungee cord tension was adjusted by individual participants to suit their requirements. A discontinuous protocol of 3-min exercise at a targeted load followed by a 1-min rest phase to facilitate stationary earlobe capillary blood sample collection and resetting of ergometer display (Dansprint ergometer) was used. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal load 80 to 120 W for rowing, 50 to 90 W for kayaking and subsequently increased by 20,30 or 40 W every 3-min depending on gender, sport and current competition category. The test was terminated when a participant was no longer able to maintain the targeted workload.

Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.

3.1: Data analysis

Constructed graphical plots (HR, VO2 and [Lac] versus load / velocity) were analysed to quantify the following; load / velocity at TLac, HR at TLac, [Lac] at TLac, % of VO2 peak at TLac, % of HRmax at TLac, load / velocity and HR at a nominal [Lac] of 2 mmol.L-1, load / velocity, VO2 and [Lac} at a nominal HR of

Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. The xfgyaa simulation was made using the Met Office Unified Model (UM) at 12km resolution over the domain 40E-183E, 22S-22N which encompasses the Indian Ocean West Pacific Warm Pool. Cascade Warm Pool simulations coincide with the Year of Tropical Convection. This dataset contains Warm Pool 12km model measurements from xfgyaa run.

The number of people participating in parkour or free running in England increased in 2023 over the previous year. Between November 2022 and November 2023, roughly 118 thousand people participated in free running in England.

Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. This dataset contains data from the zfdya simulation which ran using the Met Office Unified Model (UM) at 12km horizontal resolution over the domain 20W-20E, 5S-28N which encompasses the west african monsoon. Cascade Africa simulations are used to study African Easterly Waves. This dataset contains 12km Africa model measurements from zfdya runs.

Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. This dataset contains data from the xfixa simulation which ran using the Met Office Unified Model (UM) at 12km horizontal resolution over the domain 20W-20E, 5S-28N which encompasses the west african monsoon. Cascade Africa simulations are used to study African Easterly Waves. This dataset contains 4km Africa model measurements from xfixa run.

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Trail Running Shoes Market Size 2024-2028

The trail running shoes market size is forecast to increase by USD 3.66 billion at a CAGR of 8.52% between 2023 and 2028.

The market is experiencing significant growth due to the increasing popularity of trail running as an outdoor recreational activity. The trend towards a healthier lifestyle and the desire for unique running experiences are driving this growth. Another key factor is the rapid expansion of online sales, making it more convenient for consumers to purchase trail running shoes from anywhere.
However, the market also faces challenges such as the threat of travel-related diseases, which can impact sales. Proper hygiene and sanitation measures, as well as the development of antimicrobial technologies, are essential to mitigate this risk. Overall, the market is poised for continued growth, driven by consumer demand and advancements in technology.

What will be the Size of the Trail Running Shoes Market During the Forecast Period?

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The market caters to the growing demand for footwear designed for off-road journeys, as more individuals seek to explore diverse terrains and outdoor environments. Trail runners are engineered with specific design elements to ensure optimal performance on geographical features such as deserts and mountains. These shoes prioritize safety concerns, including traction and protection against potential injuries. The male segment dominates this market due to the higher participation rate in trail running as an ultra-trail running, endurance sports event, and outdoor recreational activity. Trail races, ultramarathons, and other trail-specific events continue to gain popularity, fueling the demand for trail running shoes.
Ethical consumerism and the importance of safety equipment in outdoor sports further contribute to the market's growth. Trail running shoes feature trail-specific design elements, including improved biomechanics, to enhance the runner's experience and performance. Notable events, such as the Ultra-Trail du Mont-Blanc, showcase the latest advancements in trail running footwear technology.

How is this Trail Running Shoes Industry segmented and which is the largest segment?

The trail running shoes industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2017-2022 for the following segments.

Product

  Light trail
  Rugged trail
  Off trail


Distribution Channel

  Offline
  Online


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    Japan


  South America



  Middle East and Africa

By Product Insights

The light trail segment is estimated to witness significant growth during the forecast period.

The market is witnessing significant growth due to the increasing popularity of trail running as a leisure and fitness activity. Trail runners require specialized footwear to navigate diverse terrains, including off-road journeys through deserts, mountains, and rugged terrain. Lightweight trail running shoes, featuring asymmetric shapes, thick soles, and deep feet designs, are in high demand. These shoes offer superior traction on uneven surfaces and provide the necessary support to prevent potential injuries from exhaustion or environmental obstacles. As trail running gains momentum, there is a rising awareness of safety concerns, leading to the increased use of innovative product features such as industrial-grade materials and enhanced footwork technology.

The market is expected to continue growing, driven by the participation of both male and female trail runners in outdoor activities, ultramarathons, trail races, and social media-driven trail running events. The focus on foot comfort and ethical consumerism is also fueling the demand for trail-specific designs.

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The Light trail segment was valued at USD 2.20 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 37% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American market experienced significant growth in 2023, with the US being the primary contributor. The increasing popularity of trail running as an outdoor recreational activity In the US and Canada has fueled market expansion over the past decade. Major international companies are headquartered In the US, contributing to the market's robustness. Trail development and preservation eff

Data from Strava, widely used social networking platform tailored for enthusiasts who enjoy activities such as cycling and running, for Scotland and the Northeast of England (Glasgow, Scotland, Manchester, Tyne & Wear, Sheffield). The time period of the data coverage varies for different cities. To ensure user privacy, all the data has been anonymized and also binned.

The GIS compatible data offers:

1._Hourly User Count at Street Level_: This gives insights into how many users are active on a specific street on an hourly basis. (Binning: 0 if this number is less than or equal to 3, otherwise rounded up in multiples of 5)

2._Wait Times at Intersections_: This information can provide how long Strava users typically wait at various intersections. Such data can be useful for urban planning and traffic management, highlighting potential areas for infrastructure improvement.

3._Origin and Destination of Trips_: The data reveals where users start (origin) and finish (destination) their activities. However, to maintain user privacy, these origins and destinations are grouped by census output areas. This offers a balance between useful data granularity and user confidentiality.

This dataset, based on the Open Street Map roads network, offers a rich source of information for a variety of professionals – from urban planners to transport researchers.

Access and Restrictions

Data are available for non-commercial, academic research by UK-based academics under an End User Licence. Data can be used for research in the social sciences, including transportation research. Usage of the data for teaching is also permitted.

Access to the Data

Strava provides access to the Metroview platform for urban infrastructure planning organizations around the world to understand mobility patterns, identify opportunities for investment and evaluate the impact of infrastructure changes. Access to Metroview is free of charge and is available at Strava’s discretion based on the application requirements.

Previous extracts of Strava Metro data for the above geographies and timeframes are available through the UBDC data catalogue.

To apply for Strava Metro data in other geographies or for additional timeframes, please see the Strava website

Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. This dataset contains data from the xeule simulation which ran using the Met Office Unified Model (UM) at 40km horizontal resolution over an idealised equatorial domain of about 8000x4000km. Cascade Idealised simulations are used to study warm pool convection and equatorial waves.

IntroductionUK Power Network maintains the 132kV voltage level network and below. An important part of the distribution network is the stepping down of voltage as it is moved towards the household; this is achieved using transformers. Transformers have a maximum rating for the utilisation of these assets based upon protection, overcurrent, switch gear, etc. This dataset contains the Grid Substation Transformers, also known as Bulk Supply Points, that typically step-down voltage from 132kV to 33kV (occasionally down to 66 or more rarely 20-25). These transformers can be viewed on the single line diagrams in our Long-Term Development Statements (LTDS) and the underlying data is then found in the LTDS tables. This dataset provides half-hourly current and power flow data across these named transformers from 2021 through to the previous month across our license areas. The data are aligned with the same naming convention as the LTDS for improved interoperability.Care is taken to protect the private affairs of companies connected to the 33kV network, resulting in the redaction of certain transformers. Where redacted, we provide monthly statistics to continue to add value where possible. Where monthly statistics exist but half-hourly is absent, this data has been redacted. To find which transformer you are looking for, use the ‘tx_id’ that can be cross referenced in the Grid Transformers Monthly Dataset, which describes by month what transformers were triaged, if they could be made public, and what the monthly statistics are of that site. If you want to download all this data, it is perhaps more convenient from our public sharepoint: Open Data Portal Library - Grid Transformers - All Documents (sharepoint.com)This dataset is part of a larger endeavour to share more operational data on UK Power Networks assets. Please visit our Network Operational Data Dashboard for more operational datasets.Methodological ApproachThe dataset is not derived, it is the measurements from our network stored in our historian.The measurement devices are taken from current transformers attached to the cable at the circuit breaker, and power is derived combining this with the data from voltage transformers physically attached to the busbar. The historian stores datasets based on a report-by-exception process, such that a certain deviation from the present value must be reached before logging a point measurement to the historian. We extract the data following a 30-min time weighted averaging method to get half-hourly values. Where there are no measurements logged in the period, the data provided is blank; due to the report-by-exception process, it may be appropriate to forward fill this data for shorter gaps.We developed a data redactions process to protect the privacy or companies according to the Utilities Act 2000 section 105.1.b, which requires UK Power Networks to not disclose information relating to the affairs of a business. For this reason, where the demand of a private customer is derivable from our data and that data is not already public information (e.g., data provided via Elexon on the Balancing Mechanism), we redact the half-hourly time series, and provide only the monthly averages. This redaction process considers the correlation of all the data, of only corresponding periods where the customer is active, the first order difference of all the data, and the first order difference of only corresponding periods where the customer is active. Should any of these four tests have a high linear correlation, the data is deemed redacted. This process is not simply applied to only the circuit of the customer, but of the surrounding circuits that would also reveal the signal of that customer.The directionality of the data is not consistent within this dataset. Where directionality was ascertainable, we arrange the power data in the direction of the LTDS "from node" to the LTDS "to node". Measurements of current do not indicate directionality and are instead positive regardless of direction. In some circumstances, the polarity can be negative, and depends on the data commissioner's decision on what the operators in the control room might find most helpful in ensuring reliable and secure network operation.Quality Control StatementThe data is provided "as is". In the design and delivery process adopted by the DSO, customer feedback and guidance is considered at each phase of the project. One of the earliest steers was that raw data was preferable. This means that we do not perform prior quality control screening to our raw network data. The result of this decision is that network rearrangements and other periods of non-intact running of the network are present throughout the dataset, which has the potential to misconstrue the true utilisation of the network, which is determined regulatorily by considering only by in-tact running arrangements. Therefore, taking the maximum or minimum of these transformers are not a reliable method of correctly ascertaining the true utilisation. This does have the intended added benefit of giving a realistic view of how the network was operated. The critical feedback was that our customers have a desire to understand what would have been the impact to them under real operational conditions. As such, this dataset offers unique insight into that.Assurance StatementCreating this dataset involved a lot of human data imputation. At UK Power Networks, we have differing software to run the network operationally (ADMS) and to plan and study the network (PowerFactory). The measurement devices are intended to primarily inform the network operators of the real time condition of the network, and importantly, the network drawings visible in the LTDS are a planning approach, which differs to the operational. To compile this dataset, we made the union between the two modes of operating manually. A team of data scientists, data engineers, and power system engineers manually identified the LTDS transformer from the single line diagram, identified the line name from LTDS Table 2a/b, then identified the same transformer in ADMS to identify the measurement data tags. This was then manually inputted to a spreadsheet. Any influential customers to that circuit were noted using ADMS and the single line diagrams. From there, a python code is used to perform the triage and compilation of the datasets. There is potential for human error during the manual data processing. These issues can include missing transformers, incorrectly labelled transformers, incorrectly identified measurement data tags, incorrectly interpreted directionality. Whilst care has been taken to minimise the risk of these issues, they may persist in the provided dataset. Any uncertain behaviour observed by using this data should be reported to allow us to correct as fast as possible.Additional informationDefinitions of key terms related to this dataset can be found in the Open Data Portal Glossary.Download dataset information: Download dataset information: Metadata (JSON)We would be grateful if you find this dataset useful to submit a “reuse” case study to tell us what you did and how you used it. This enables us to drive our direction and gain better understanding for how we improve our data offering in the future. Click here for more information: Open Data Portal Reuses — UK Power Networks

The statistic displays the running costs of the Sport Grounds Safety Authority (SGSA) in the United Kingdom (UK) in 2018/2019, by type. In 2018/2019, the SGSA spend approximately seven thousand British pounds on training and recruitment.

Numerical model data from the Hadley Centre coupled model (HadCM3) Control Run. Please note that these data have now been superceeded by the data from the main BADC HadCM3 archive. The current dataset covers 100 years (2079 - 2178), and contains all atmospheric and oceanic fields derived from the HadCM3 model. A 1000 year dataset (1849-2849) of model data for selected parameters has also been retrieved from the Met Office and stored at the BADC.

Between November 2022 and November 2023, fitness classes emerged as the most popular sport activity in England. Roughly 6,219 thousand people participated in the activity at least twice a month during that period.