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Monthly estimates of overseas residents’ visits and spending and visits and spending abroad by UK or Great Britain residents. Also includes data on purpose of visit, area visited by UK residents and area of residence for overseas residents.
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This dataset shows how many people visited Attractions in Lincolnshire by calendar year. Visitor numbers for a wide range of attractions are shown, along with other key information such as entrance fees. The data's source is the Annual Survey of Visits to Visitor Attractions, run by Visit England. (As usual with survey data there are some limitations, such as not all visitor attractions participating in the survey, and where visitor numbers are estimated that is indicated in the data). This dataset is updated annually from statistics published by Visit Britain, see the Source link for more information.
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Tourist Arrivals in the United Kingdom decreased to 9297 Thousand in the fourth quarter of 2024 from 10408 Thousand in the third quarter of 2024. This dataset provides - United Kingdom Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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United Kingdom UK: International Tourism: Number of Arrivals data was reported at 35,814,000.000 Person in 2016. This records an increase from the previous number of 34,436,000.000 Person for 2015. United Kingdom UK: International Tourism: Number of Arrivals data is updated yearly, averaging 28,119,000.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 35,814,000.000 Person in 2016 and a record low of 20,982,000.000 Person in 2001. United Kingdom UK: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
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Annual estimates of visits and spending by UK residents abroad. Also includes data on nights, purpose, main country visited and mode of travel. Breakdowns by length of stay and nationality are covered. In 2019, new methods were introduced for this dataset. The 2009 to 2019 edition supersedes all previous time series editions of this dataset. We advise against using all editions listed before the 2019 edition.
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TwitterAnnual official statistic measuring the number of visits to English visitor attractions. Results are published in August each year. Key survey deliverables include a powerpoint report (currently published as pdf), top 20 listings by region (pdf) and an excel listing of visits to all participating attractions who give permission for data to be used. All current survey deliverables are online at http://www.visitengland.org/insight-statistics/major-tourism-surveys/attractions/Annual_Survey/index.aspx
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This file is in an OpenDocument format
As usual, there have been a small number of routine revisions to figures in this release. In addition, corrections were made to the number of visits to National Museums Liverpool between April 2024 and January 2025, which also has a small impact on the DCMS totals, to consistently account for the historically shared entrance to the Maritime Museum and the International Slavery Museum. Further details are in the table.
26 November 2025
England
Quarterly
Between July to September 2025, there were approximately 12.6 million visits to DCMS sponsored museums and galleries. Overall visits were 4.4% higher to the equivalent period in 2024, when comparing museums open in both time periods. Overall visits were 10% lower th
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TwitterThe 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.
There are two versions of the IPS data for 1999, the reduced version used for fuller queries but restricted in the number of variables and the main data for expert users which contain all analysable variables.
Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and, due to their nature, will be much easier to understand and tabulate. Although the variable list is the same from year to year, care must be taken with these files when trying to perform time series operations as codes can also vary from year to year for some variables.
Main dataset - the depositor recommends that only expert users who are very familiar with the coding and weighting structures use this dataset as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made, care must be taken when performing time series operations as codes can vary from year to year and not all variables from one years dataset are used in other years. The data covers four subject areas, AIRMILES (held as a complete year) ALCOHOL, QREGTOWN and QCONTACT (held quarterly in four files per subject area). These can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER. The weighting of IPS data is complex and done in several stages. When working with the system weights, great care should be taken to read the documentation concerning weighting procedures as not all records are treated in exactly the same way (this does not apply to the smaller dataset).
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GLA Economics is providing on an occasional basis medium-term forecasts of tourism visitor nights in London for domestic and international tourists. The forecasts are on a quarterly basis to 2026 and an annual basis to 2032. The estimates tri-angulate data from a number of sources. The methodology note provides more information on how this has been done.
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TwitterThe 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.
The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years.
The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.
Weighting the IPS
ONS advise that the variable 'fweight' included in the 'Qcontact' dataset should be applied to get an overall weighted profile. This weight is set consistently overtime. Other weights are provided to analyse finer detail but no information is provided in the documentation. ONS are currently reviewing the documentation but in the meantime if users have any detailed weighting questions they should contact the ONS at socialsurveys@ons.gov.uk.
The original deposit of this dataset was made in August 2006, and contained data from the first quarter (January-March 2006). Subsequent editions were updated in conjunction with successive quarters of IPS, until the fourth edition (May 2007) which contained data from the fourth quarter (October-December 2006) and took into account Civil Aviation Authority (CAA) revised estimates of interlining at major UK airports, and new information on spending and numbers of visits from tourists using the Irish land border, an area not covered by the IPS sample. The CAA estimates were further revised for the fifth edition (October 2007), when data files for all four quarters of 2006 were updated. The revised CAA figures have shown much lower levels of interlining than previously estimated and so IPS estimates of visits to and from the UK have generally risen. The information on tourists using the Irish land border was also updated.
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TwitterDaytime population - The estimated number of people in a borough in the daytime during an average day, broken down by component sub-groups.
The figures given are an average day during school term-time. No account has been made for seasonal variations, or for people who are usually in London (resident, at school or working), but are away visiting another place.
Sources include the Business Register and Employment Survey (BRES) (available under license), Annual Population Survey (APS), 2011 Census, Department for Education (DfE), International Passenger Survey (IPS), GB Tourism Survey (GBTS), Great Britain Day Visit Survey (GBDVS), GLA Population Projections, and GLA Economics estimates (GLAE).
The figures published in these sources have been used exactly as they appear - no further adjustments have been made to account for possible sampling errors or questionnaire design flaws.
Day trip visitors are defined as those on day trips away from home for three hours or more and not undertaking activities that would regularly constitute part of their work or would be a regular leisure activity.
International visitors – people from a country other than the UK visiting the location;
Domestic overnight tourists – people from other parts of the UK staying in the location for at least one night.
All visitor data is modelled and unrounded.
This edition was released on 7 October 2015 and replaces the previous estimates for 2013.
GLA resident population, 2011 Census resident population, and 2011 Census workday populations (by sex) included for comparison.
See a visualisation of this data using Tableau.
For more workday population data by age use the Custom Age-Range Tool for Census 2011 Workday population , or download data for a range of geographical levels from NOMIS.
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Malta Tourist Arrivals: United Kingdom data was reported at 91,610.645 Person in Oct 2025. This records a decrease from the previous number of 92,701.510 Person for Sep 2025. Malta Tourist Arrivals: United Kingdom data is updated monthly, averaging 48,372.000 Person from Jun 2001 (Median) to Oct 2025, with 290 observations. The data reached an all-time high of 92,701.510 Person in Sep 2025 and a record low of 0.000 Person in Jun 2020. Malta Tourist Arrivals: United Kingdom data remains active status in CEIC and is reported by National Statistics Office - Malta. The data is categorized under Global Database’s Malta – Table MT.Q: Tourist Arrivals: by Country. Owing to the UK’s exit from the European Union (with effect from 1st February 2020), UK data is statistically classified as Non-EU from February 2020.
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Domestic tourism statistics by region and year. All figures come from the Great Britain Tourism Survey (GBTS) and represent 3-year annual averages due to small sample sizes on regional level.
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A dataset providing information about local council services in Leeds. Leeds City Council uses this information to populate the Knowledge Panels on the Google search website.
The dataset includes type of service, contact information and opening times.
When people search for a business on Google, they may see information about that business in a box that appears to the right of their search results. The information in the box, called the Knowledge Panel, can help customers discover and contact your business.
If you spot any information which you believe to be incorrect please contact us on webmaster@leeds.gov.uk . We can then investigate this and update this dataset and the Google Knowledge Panel.
This dataset is automatically updated on a fortnightly basis
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TwitterLondon’s Tourism Direct GVA (TDGVA) in 2019 is estimated by taking London’s share of the latest ONS regional TDGVA publication (2013) and multiplying it with the latest TDGVA estimate (2017) for the UK. The resulting figure is then multiplied with a ratio of London spend data from VisitBritain’s International Passenger Surveys from 2019 and 2017. This approach assumes 1) that London’s share of UK TDGVA has remained constant from 2013 to 2017 and 2) a constant relation between spend and GVA from 2017 to 2019. The annual VisitBritain forecast for the volume and value of inbound tourism to the UK is issued in December each year. They have however updated this to reflect the impact of COVID-19 on inbound tourism to the UK, as well as an estimate of impact on domestic tourism within England. These were used to estimate London’s tourism spend for 2020. More details on the inbound tourism forecast for 2020 to the UK and domestic tourism with in England for 2020 can be found at Visit Britain.
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Research into the student visitors route which allows people to visit the UK for up to six months to undertake a short course of study. The research investigates who is using this growing short-term study route, and if they are using it as intended by analysing samples of non visa nationals, successful applicants for a student visit visa and unsuccessful applicants for a student visit visa.
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TwitterFor DCMS sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
For Digital sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/bulletins/uklabourmarket/may2021">ONS have released a revised APS dataset for October 2019 – September 2020 following re-weighting to account for population changes and the effects of changing survey mode. Revised estimates of employment in DCMS sectors during this period have now been published, using the updated weights.
We have also made an improvement to the method for estimating figures for Civil Society.
In the period October 2019 to September 2020, there were 5.5 million jobs in DCMS sectors, accounting for 16.4% of all UK jobs.
The Creative Industries had the most jobs with 2.2 million. This is followed by the Digital Sector (1.7 million) and Civil Society (984,000). The sector with the fewest jobs is Gambling at 73,000.
The provisional estimates suggest that there were just under 1.6 million jobs in the Tourism sector. Tourism employment estimates are calculated using provisional estimates in the latest (2018) Tourism Satellite Account (TSA). This is a different methodology to the other sectors.
In parallel to this set of employment estimates, we have published some statistics on socio-economic background, using the Labour Force Survey (LFS). These are available to download as an ad hoc publication.
These Economic Estimates are Official Statistics used to provide an estimate of employment (number of filled jobs) in the DCMS Sectors, for the period October 2019 to September 2020. The findings are calculated based on the ONS Annual Population Survey (APS).
These statistics cover the contributions of the following DCMS sectors to the UK economy;
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
Responsible statistician: Edward Wilkinson
For any queries or feedback, please contact evidence@dcms.gov.uk.
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TwitterOfficial statistic refreshed every second year - a compilation of accommodation stock information (serviced and non-serviced). England results are combined with those from other tourist boards to create a UK-level return for Eurostat. Some variation in timelines, but generally published at the end of every second calendar year (next update 2014). Current deliverables are available at http://www.visitengland.org/insight-statistics/major-tourism-surveys/accommodations/AccommodationStock/
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TwitterThis dataset comprises data gathered during a number of different work packages in the Listening to the Zoo project.
The context of the research
Every year 700 million people visit zoological gardens worldwide, with more than 30 million of these visits taking place in the UK. Apart from the significant economic role they play as tourist attractions, many zoos also aim to educate their visitors about biodiversity, exposing them to species they would not otherwise have the opportunity to encounter directly and providing information about these species. As part of their educational role, many zoos offer the public opportunities to learn about and engage with conservation and environmental protection projects. Zoos are usually approached as places where animals are, first and foremost, seen. This project, however, aims to transform the way we think about zoos by attending closely to an aspect of these institutions that has previously been neglected or overlooked: their sounds or 'soundscapes'.
Its aims and objectives
Through close collaboration with two project partner zoos in the UK, this project seeks to trial innovative sound research methodologies to generate detailed knowledge about how sounds are woven into the experience of zoos for visitors, staff, people who live near zoos and for zoo animals themselves. It sets out to explore how listening, and attending to different kinds and qualities of sound can promote new forms of awareness of human and animal behaviour in the zoo context. The project sets out to change the mode in which zoo visitors engage with species on display, prompting the development of an 'acoustic mindfulness' that complicates, challenges and augments a visually-orientated approach to animals in the zoo. It also aims to explore whether silent listening (where groups of volunteers visit the zoo and listen whilst being silent) can have transformative effects, prompting people to be more sensitive to how, for instance, anthropogenic noise impacts upon both human and animal behaviours. The research is interdisciplinary, combining approaches from the social and natural sciences with the goal of producing a multi-species sonic ethnography of the zoo, something that has never been done before but which promises to allow social science to inform environmental awareness and citizenship in new ways. The study will enrich our grasp of the social processes underpinning relationships between humans and animals by providing a sonic perspective.
Its potential applications and benefits
This project has clear potential benefits for a wide range of academics from a variety of disciplines who have an interest in human-animal relations, especially as these are expressed in the zoo setting. It will complement, but also challenge and develop existing methodological and theoretical approaches to the zoo in the social sciences which foreground vision and acts of looking. In addition to producing outputs for academic audiences, the project will facilitate the production of innovative sonic resources that can be used by the partner zoos to enhance the conservation education and environmental awareness activities they conduct with schoolchildren and other zoo visitors. The project will also generate findings that can be applied by zoo keepers and researchers in order to provide optimum sound environments for the animals in their care. Dissemination of the research findings and sound resources through zoo associations will create opportunities for the project to benefit a large number of other zoos, their users and animals, both nationally and internationally. The findings and impact resources that will be produced through the project also have considerable potential applications and benefits for other settings in which animals are kept in captive conditions, such as farms, laboratories and some human homes.
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Monthly estimates of overseas residents’ visits and spending and visits and spending abroad by UK or Great Britain residents. Also includes data on purpose of visit, area visited by UK residents and area of residence for overseas residents.