2026-05-30T23:54:49Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

10650993369ba9eb722a93138e5fc422b504678c92bb9ee7659eb44ad54f7a59 2025-10-01T03:59:53Z language:enopenaire_data

DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 5216 International Passenger Survey, 2005 521610.5255/UKDA-SN-5216-1 Office for National Statistics, Social and Vital Statistics Division <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply. UK Data Service 11 August 2005 AGEAIR TRANSPORTAIR TRAVELAIRPORTSALCOHOLIC DRINKSCONFERENCESCRUISING HOLIDAYSDISTANCE MEASUREMENTEMPLOYMENTEXPENDITUREGENDERHOLIDAYSHOUSINGINTERNATIONAL TRAVELMEDICAL CAREMERCHANT NAVYMONEYNATIONALITYPACKAGE HOLIDAYSPASSENGERSPLACE OF RESIDENCEPORTSSEA TRANSPORTSEA TRAVELSTUDYTIMETOBACCOTRAVELTRAVELLING TIMETUNNELSVEHICLESVISITORSADULTSCHILDRENLANGUAGESENGLISH LANGUAGE EDUCATION Consumption and consumer behaviourTransport and travelEconomic conditions and indicatorsMigrationLeisure, tourism and sport 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. 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. 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 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. For the fifth edition (August 2006), a revised version of all data for 2005 was deposited, due to changes in the weighting methodology. See study READ file for full details. Main Topics: The 2005 IPS dataset covers:<ul><li>'Airmiles': quarter; flow; serial; UK port or route; direct leg overseas port; final overseas port; distance from UK port to first port; from first to second port; from UK port to second port</li><li>'Alcohol': year; quarter; month; flow; serial; money spent on spirits; wine; beer; cigarettes; hand-rolled and other tobacco</li><li>'Qregtown': year; quarter; month; flow; serial; towns stayed in overnight; details of type of accommodation; number of nights spent in towns; expenditure in towns; regional stay weight; regional visit weight; regional expenditure weight; various validation checks</li><li>'Qcontact': year; quarter; month; flow; serial; nationality; country of visit/residence; UK counties; date visit began; purpose of visit; organised conference; study (including English language courses); intended length of stay; number of people; package tour and cost; expenditure pre-, post- and during visit; flight prefix and suffix; first carrier air or shipping line; direct leg overseas port; final overseas port; long or short haul; type of vehicle; number travelling in vehicle; fare type and cost; class of travel; business trip; type of flight; flight origin or destination; gender; age group; UK port or route; quality of response; date of interview; money transfer, net and total expenditure; distance driven in UK by overseas driver; miles or kilometres; type of transport; arrivals (number of adults); departures (type of travelling group, number of adults and children); weighting variables; various validation checks</li></ul>Some slight changes to coding and questions were made for the 2005 survey. These are listed in the documentation. January 2005 - December 200501 January 200501 December 2005 United Kingdom IndividualsNational Visits to and from the United Kingdom Numeric Repeated cross-sectional study Multi-stage stratified random sample Face-to-face interview The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you. See <restrctn> https://www.ons.gov.uk/peoplepopulationandcommunity/leisureandtourism/articles/traveltrends/previousReleases https://www.visitbritain.org/about-international-passenger-survey https://www.ons.gov.uk/surveys/informationforhouseholdsandindividuals/householdandindividualsurveys/internationalpassengersurvey https://www.ukinbound.org/resource-category/ips-data/ Travel Trends publication https://www.ons.gov.uk/peoplepopulationandcommunity/leisureandtourism/articles/traveltrends/previousReleases Avogadro, N. and Redondi, R. (2023) 'Diverted and induced demand: evidence from the London-Paris passenger market', Research in Transportation Economics, 100, 101304. doi: 10.1016/j.retrec.2023.101304 https://doi.org/10.1016/j.retrec.2023.101304 Avogadro, N., Pels, E. and Redondi, R. (2023) 'Policy impacts on the propensity to travel by HSR in the Amsterdam-London market', Socio-Economic Planning Sciences, 87, 101585. doi:10.1016/j.seps.2023.101585 https://doi.org/10.1016/j.seps.2023.101585 https://oai.ukdataservice.ac.uk:8443/oai/provider 5216 2024-11-28T07:25:49Z ddi:codebook:2_5