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.

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.

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales in employment the week before the census by method used to travel to work (2001 specification) and by industry. The estimates are as at Census Day, 21 March 2021.

_As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Due to methodological changes the ‘mainly work at or from home: any workplace type’ category has a population of zero. Please use the transport_to_workplace_12a classification instead. Read more about this quality notice._

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Method used to travel to workplace

A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.

"Work mainly from home" applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.

Industry (current)

Classifies people aged 16 years and over who were in employment between 15 March and 21 March 2021 by the Standard Industrial Classification (SIC) code that represents their current industry or business.

The SIC code is assigned based on the information provided about a firm or organisation’s main activity.

This report shows international travel undertaken by Home Office Senior Officials at SCS2 (or equivalent) and above. The report includes bookings made through departments’ central booking systems. This will include the majority of travel undertaken. However, individuals may have booked a small number of journeys through other systems. Work is ongoing to ensure that this data is incorporated into future reports.

Some data may have been redacted if it was deemed that publishing it could impact on national or personal security.

During the transition from the previous reporting systems, please be aware that some travel data for SCS3 and above civil servants is still published here: Home Office Board Members’ Expenses (http://data.gov.uk/dataset/home-office-board-business-expenses).

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. Further information may be found on the gov.uk National Travel Survey webpage. End-User Licence, Special Licence and Secure Access NTS data The UK Data Archive holds three versions of the NTS:the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.Full information about the variables contained at each level are available in the NTS Table Structures spreadsheet, available in the documentation. Main Topics: Mode of transport; purpose of journey; number of journeys; time of day, distance and length of time of journeys; travel costs. Background Variables Households; age; sex; occupations; socio-economic status; driving licence holding; car ownership or availability to house. One-stage stratified or systematic random sample

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by method used to travel to work (2001 specification) and by distance travelled to work. The estimates are as at Census Day, 21 March 2021.

_As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Due to methodological changes the ‘mainly work at or from home: any workplace type’ category has a population of zero. Please use the transport_to_workplace_12a classification instead. Read more about this quality notice._

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Method used to travel to workplace

A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.

"Work mainly from home" applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.

Distance travelled to work

The distance, in kilometres, between a person's residential postcode and their workplace postcode measured in a straight line. A distance travelled of 0.1km indicates that the workplace postcode is the same as the residential postcode. Distances over 1200km are treated as invalid, and an imputed or estimated value is added.

“Work mainly at or from home” is made up of those that ticked either the "Mainly work at or from home" box for the address of workplace question, or the “Work mainly at or from home” box for the method of travel to work question.

Distance is calculated as the straight line distance between the enumeration postcode and the workplace postcode.

Combine this variable with “Economic activity status” to identify those in employment at the time of the census.

This dataset provides Census 2021 estimates that classify usual residents aged 16 and over (excluding full-time students) in employment in Northern Ireland by their method used to travel to work. The estimates are as at census day, 21 March 2021. Census 2021 took place during the coronavirus (COVID-19) pandemic which will have affected the travel to work and travel to study statistics.

The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

The quality assurance report can be found here

How many gypsies and travellers do you employ. What are their job titles and salary bands. Response Please be aware that I have decided not to release the information requested, as the total number of staff members who have declared this demographic, falls below 5. This is because the staff could be identified, when combined with other information that may be in the public domain or reasonably available. This information falls under the exemption in section 40 subsections 2 and 3A (a) of the Freedom of Information Act. This is because it would breach the first data protection principle as: a) it is not fair to disclose staff members’ personal details to the world and is likely to cause damage or distress. b) these details are not of sufficient interest to the public to warrant an intrusion into the privacy of the staff members. Please click the below web link to see the exemption in full. https://www.legislation.gov.uk/ukpga/2000/36/section/40

This report shows international travel undertaken by The Department of Work and Pensions department Senior Officials at SCS2 (or equivalent) and above. The report includes bookings made through departments’ central booking systems. This will include the majority of travel undertaken. However, individuals may have booked a small number of journeys through other systems. Work is ongoing to ensure that this data is incorporated into future reports. Some data may have been redacted if it was deemed that publishing it could impact on national or personal security. During the transition from the previous reporting systems, please be aware that some travel data for SCS3 and above civil servants is still published at http://data.gov.uk/dataset/senior-officials-expenses-travel-and-hospitality-in-dwp

Dataset population: All usual residents aged 16 and over in employment the week before the census

Location of usual residence

The location where an individual usually resides.

Place of work

The location in which an individual works.

Method of travel to work

The method of travel used for the longest part, by distance, of the usual journey to work. This topic is only applicable to people who were in employment in the week before the census.

This table prioritises workplace address information over method of travel to identify home-workers, to allow a direct comparison with data from the 2001 Census.

Geographies of origin areas:

• UK Local Authorities (merged) 2011

Geographies of destination areas:

• UK Local Authorities (merged) 2011
• 2011 UK SWS additional workplace codes

*The following codes are used for areas of workplace that are not an LAD geographic code:

OD0000001 = Mainly work at or from home

OD0000002 = Offshore installation

OD0000003 = No fixed place

OD0000004 = Outside UK*

In Northern Ireland, people who did not provide a workplace address because they were away from work ill, on maternity leave, on holiday, or temporarily laid off have been allocated to 'no fixed place' of work with method of travel to work 'other'.

In Northern Ireland, the classification 'passenger in a car or van' includes both 'people who stated they travel to work as a passenger in a car or van' and 'people who stated that they travel to work in a car or van pool sharing driving'.

This report shows international travel and accommodation used by Cabinet Office senior officials at SCS2 (or equivalent) and above. The report includes bookings made through departments’ central booking systems. This will include the majority of travel undertaken. However, individuals may have booked a small number of journeys through other systems. Work is ongoing to ensure that this data is incorporated into future reports.

Some data may have been redacted if it was deemed that publishing it could impact on national or personal security.

During the transition from the previous reporting systems, please be aware that some travel data for civil servants at SCS3 and above is still published as Business expenses of Cabinet Office senior officials including hospitality: http://data.gov.uk/dataset/business-expenses-of-senior-officials-including-hospitality

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 End-User Licence data from 1972 onwards and Special Licence and Secure Access data from 2002 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. Further information may be found on the gov.uk National Travel Survey webpage. End-User Licence, Special Licence and Secure Access NTS data The UK Data Archive holds three versions of the NTS:the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.Full information about the variables contained at each level are available in the NTS Table Structures spreadsheet, available in the documentation. This study comprises Special Licence Access NTS data for 1995-2001, which was first deposited in 2015. The variable names have been edited to match the newest NTS data and the contents of the files reflect reprocessing of older data done by the NTS team. The standard access End User Licence version of the NTS 1995-2001 is held under SN 6108. Main Topics: The 2002-2012 NTS includes:household variables: address type information, accessibility of public transport, access to amenities, household vehicle access, household composition and household socio-economic information;individual information: age, gender and marital status, social and economic information, frequency of use of various methods of transport, driving licences and type of vehicle driven, employment, occupation and industry details, income, place of work and travel to work, season ticket details, travel difficulties;vehicle information: vehicle type, registration details, parking, fuel type, mileage, engine capacity;trips: day, date and time, main mode, purpose, origin and destination information;stage: mode, number in party, distance, duration, costs;long-distance trips (over 50 miles): stage: mode, purpose, origin and destination;Please see the Table Structures document available in the table below for the full list of variables. Multi-stage stratified random sample Face-to-face interview Diaries

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by method used to travel to work (2001 specification) and by age. The estimates are as at Census Day, 21 March 2021.

_As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Due to methodological changes the ‘mainly work at or from home: any workplace type’ category has a population of zero. Please use the transport_to_workplace_12a classification instead. Read more about this quality notice._

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Method used to travel to workplace

A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.

"Work mainly from home" applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

The dataset and the validation are fully described in a Nature Scientific Data Descriptor https://www.nature.com/articles/s41597-019-0265-5

If you want to use this dataset in an interactive environment, then use this link https://mybinder.org/v2/gh/GeographerAtLarge/TravelTime/HEAD

The following text is a summary of the information in the above Data Descriptor.

The dataset is a suite of global travel-time accessibility indicators for the year 2015, at approximately one-kilometre spatial resolution for the entire globe. The indicators show an estimated (and validated), land-based travel time to the nearest city and nearest port for a range of city and port sizes.

The datasets are in GeoTIFF format and are suitable for use in Geographic Information Systems and statistical packages for mapping access to cities and ports and for spatial and statistical analysis of the inequalities in access by different segments of the population.

These maps represent a unique global representation of physical access to essential services offered by cities and ports.

The datasets travel_time_to_cities_x.tif (where x has values from 1 to 12) The value of each pixel is the estimated travel time in minutes to the nearest urban area in 2015. There are 12 data layers based on different sets of urban areas, defined by their population in year 2015 (see PDF report).

travel_time_to_ports_x (x ranges from 1 to 5)

The value of each pixel is the estimated travel time to the nearest port in 2015. There are 5 data layers based on different port sizes.

Format Raster Dataset, GeoTIFF, LZW compressed Unit Minutes

Data type Byte (16 bit Unsigned Integer)

No data value 65535

Flags None

Spatial resolution 30 arc seconds

Spatial extent

Upper left -180, 85

Lower left -180, -60 Upper right 180, 85 Lower right 180, -60 Spatial Reference System (SRS) EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)

Temporal resolution 2015

Temporal extent Updates may follow for future years, but these are dependent on the availability of updated inputs on travel times and city locations and populations.

Methodology Travel time to the nearest city or port was estimated using an accumulated cost function (accCost) in the gdistance R package (van Etten, 2018). This function requires two input datasets: (i) a set of locations to estimate travel time to and (ii) a transition matrix that represents the cost or time to travel across a surface.

The set of locations were based on populated urban areas in the 2016 version of the Joint Research Centre’s Global Human Settlement Layers (GHSL) datasets (Pesaresi and Freire, 2016) that represent low density (LDC) urban clusters and high density (HDC) urban areas (https://ghsl.jrc.ec.europa.eu/datasets.php). These urban areas were represented by points, spaced at 1km distance around the perimeter of each urban area.

Marine ports were extracted from the 26th edition of the World Port Index (NGA, 2017) which contains the location and physical characteristics of approximately 3,700 major ports and terminals. Ports are represented as single points

The transition matrix was based on the friction surface (https://map.ox.ac.uk/research-project/accessibility_to_cities) from the 2015 global accessibility map (Weiss et al, 2018).

Code The R code used to generate the 12 travel time maps is included in the zip file that can be downloaded with these data layers. The processing zones are also available.

Validation The underlying friction surface was validated by comparing travel times between 47,893 pairs of locations against journey times from a Google API. Our estimated journey times were generally shorter than those from the Google API. Across the tiles, the median journey time from our estimates was 88 minutes within an interquartile range of 48 to 143 minutes while the median journey time estimated by the Google API was 106 minutes within an interquartile range of 61 to 167 minutes. Across all tiles, the differences were skewed to the left and our travel time estimates were shorter than those reported by the Google API in 72% of the tiles. The median difference was −13.7 minutes within an interquartile range of −35.5 to 2.0 minutes while the absolute difference was 30 minutes or less for 60% of the tiles and 60 minutes or less for 80% of the tiles. The median percentage difference was −16.9% within an interquartile range of −30.6% to 2.7% while the absolute percentage difference was 20% or less in 43% of the tiles and 40% or less in 80% of the tiles.

This process and results are included in the validation zip file.

Usage Notes The accessibility layers can be visualised and analysed in many Geographic Information Systems or remote sensing software such as QGIS, GRASS, ENVI, ERDAS or ArcMap, and also by statistical and modelling packages such as R or MATLAB. They can also be used in cloud-based tools for geospatial analysis such as Google Earth Engine.

The nine layers represent travel times to human settlements of different population ranges. Two or more layers can be combined into one layer by recording the minimum pixel value across the layers. For example, a map of travel time to the nearest settlement of 5,000 to 50,000 people could be generated by taking the minimum of the three layers that represent the travel time to settlements with populations between 5,000 and 10,000, 10,000 and 20,000 and, 20,000 and 50,000 people.

The accessibility layers also permit user-defined hierarchies that go beyond computing the minimum pixel value across layers. A user-defined complete hierarchy can be generated when the union of all categories adds up to the global population, and the intersection of any two categories is empty. Everything else is up to the user in terms of logical consistency with the problem at hand.

The accessibility layers are relative measures of the ease of access from a given location to the nearest target. While the validation demonstrates that they do correspond to typical journey times, they cannot be taken to represent actual travel times. Errors in the friction surface will be accumulated as part of the accumulative cost function and it is likely that locations that are further away from targets will have greater a divergence from a plausible travel time than those that are closer to the targets. Care should be taken when referring to travel time to the larger cities when the locations of interest are extremely remote, although they will still be plausible representations of relative accessibility. Furthermore, a key assumption of the model is that all journeys will use the fastest mode of transport and take the shortest path.

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. There are two versions of the IPS data for 1993, the travelpac version the simplest both in format and ease of use and the reduced version used for fuller queries but restricted in the number of variables. Travelpac dataset - for simple data queries, users may prefer to use these data as they are extremely simple and can be joined together to form a time series. The results should be consistent with those published by ONS in Travel Trends. Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and will due to their nature 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 Topics: The travelpac dataset for 1993 contains the following 14 variables: Year; quarter; ukos; mode of travel; purpose of visit; package tour; country of visit/residence; age group; gender; length of stay; visits; expenditure; number of nights spent on trip; sample. The reduced dataset for 1993 contains the following 20 variables: Year; quarter; month; flow; purpose of visit; package tour; country of visit/residence; nationality of contact; age group; gender; people; United Kingdom airport, sea route or tunnel mode; direct leg overseas port; final overseas port; mode of travel used; type of flight; class of travel; number of nights spent on trip; expenditure; final weight of contact. Multi-stage stratified random sample Face-to-face interview

Office for National Statistics' national and subnational Census 2021.This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their method used to travel to work (2001 specification). The estimates are as at Census Day, 21 March 2021.Census 2021 took place during a period of rapid change. We gave extra guidance to help people on furlough answer the census questions about work. However, we are unable to determine how furloughed people followed the guidance. Take care when using this data for planning purposes. Read more about specific quality considerations in our Labour market quality information for Census 2021 methodology Method of travel to workplace definition: A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables.'Work mainly from home' applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients.Quality information: As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes.Comparability with 2011: Not comparable. It is difficult to compare this variable with the 2011 Census because Census 2021 took place during a national lockdown. The government advice at the time was for people to work from home (if they can) and avoid public transport.People who were furloughed (about 5.6 million) were advised to answer the transport to work question based on their previous travel patterns before or during the pandemic. This means that the data does not accurately represent what they were doing on Census Day. This variable cannot be directly compared with the 2011 Census Travel to Work data as it does not include people who were travelling to work on that day. It may however, be partially compared with bespoke tables from 2011. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.