five

International Passenger Survey, 2015

收藏
DataCite Commons2025-11-11 更新2026-05-06 收录
下载链接:
https://datacatalogue.ukdataservice.ac.uk/studies/study/7754#doi
下载链接
链接失效反馈
官方服务:
资源简介:
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.<br> <br> 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. <br><br><p><span style="font-weight: bold;">Latest edition information</span></p><p>For the fifth edition (July 2020), revised data files have been deposited. A weighting adjustment has been developed for data from 2009 onwards as a response to users' concerns over an imbalance between the IPS estimates for the number of visitors between departures and arrivals for different nationalities. Further information on the methodological change can be found in the document "IPS Methodological Improvements 2020", available as part of the documentation.</p> The <i>International Passenger Survey</i> (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.<br>

本数据集涵盖四个主题领域,分别为航空里程(Airmiles)、酒类(Alcohol)、Qregtown与Qcontact。每个主题领域每季度生成一份数据文件,数据集亦按季度更新。上述文件可通过YEAR、SERIAL、FLOW及QUARTER四个变量进行合并关联。 数据提交者建议,仅对编码与权重结构十分熟悉的专业用户方可使用本数据集,因官方可提供的技术支持较为有限。开展有价值的分析前,需对本数据集具备充分的理解;进行时间序列操作时需格外谨慎,因不同年份的编码规则可能存在差异,且某一年份数据集中的变量未必会在其他年份的数据集内沿用。 **最新版本信息** 第五版(2020年7月)已提交存档修订后的数据文件。针对2009年起的数据集,开发了权重调整方案,以响应用户针对不同国籍旅客出境与入境人次的国际旅客调查(International Passenger Survey, IPS)估算值失衡问题提出的反馈。有关此次方法学调整的详细信息,可查阅随附文档《IPS Methodological Improvements 2020》。 *国际旅客调查(International Passenger Survey, IPS)*旨在采集国际收支旅游账户的借贷项数据,为英国(UK)的旅游政策制定提供赴英海外访客的详细到访信息,同时收集国际移民相关数据。
提供机构:
UK Data Service
创建时间:
2020-07-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作