Summary information

Study title

International Passenger Survey, 2014

Creator

Office for National Statistics, Social Survey Division

Study number / PID

7534 (UKDA)

10.5255/UKDA-SN-7534-7 (DOI)

Data access

Restricted

Series

Not available

Abstract

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 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. 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. Latest edition informationFor the seventh edition (September 2022), a revised Qcontcust 2009-2019 data file was added to the study, with additional category labels added. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.Main Topics:The data cover:'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'Alcohol': year; quarter; month; flow; serial; money spent on spirits; wine; beer; champagne; cigarettes; hand-rolled and other tobacco'Qreg' (covers 2009-2019): 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'Qcontact': year;...
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Methodology

Data collection period

Not available

Country

United Kingdom

Time dimension

Repeated cross-sectional study

Analysis unit

Individuals
National

Universe

Visits to and from the United Kingdom

Sampling procedure

Multi-stage stratified random sample

Kind of data

Numeric

Data collection mode

Face-to-face interview

Access

Publisher

UK Data Service

Publication year

2014

Terms of data access

The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.

Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.