Estimates of internal migration flows for the UK, 2000-2007.

Estimates of internal migration flows for the UK, 2000-2007.
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2000-2007 年英国内部移民流量估计。

DOI:
10.1057/pt.2010.13
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发表时间:
2010
期刊:
Population trends
影响因子:
--
通讯作者:
Dennett A
Dennett A
中科院分区:
--
文献类型:
--
作者:
Dennett A

文献摘要

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联合王国境内每年的移民流动统计数据分别由国家统计局、苏格兰总登记局和北方爱尔兰统计研究局编制,用于统计英格兰和威尔士境内、苏格兰境内和北方爱尔兰境内的移民情况。然而,这些流量统计数据并没有在整个英国整合。由于欧盟赞助的项目需要在次国家规模上进行这种综合流量统计,称为NUTS 2,作者对2000年至2007年日历年以及1999-2000年至2006-07年的年中至年中间隔的移民流量进行了综合估计。这些估计值由英国范围内NHS中央登记处以NUTS 1规模公布的移民流量控制,其中NUTS 2区域之间的国家特定流量来自各种患者登记处。通过将2001年人口普查的综合流动数据调整为已公布的《国家卫生和社会服务报告》的流动数据,填补了不同权力下放地区之间的差距和流动。根据2001年人口普查按年龄分列的固定的国家移民率概况,年龄细节仅被添加到每个地区的总移民和总移民流量中。因此,由此产生的流量数据的时间序列提供了每个时间段的起源-目的地-年龄阵列的三个矩阵面。本文介绍了估计过程的细节和报告的一些趋势,时间序列显示。
Statistics on migration flows year by year within the UK are produced by the Office for National Statistics, the General Register Office for Scotland and the Northern Ireland Statistics Research Agency for migration within England and Wales, within Scotland and within Northern Ireland respectively. However, these flow statistics are not integrated across the UK. As there was a need for such integrated flow statistics at a sub‐national scale known as NUTS2 for an EU sponsored project, the authors developed a synthetic estimate of migration flows for the calendar years 2000 to 2007 and the mid‐year to midyear intervals 1999–2000 to 2006–07. The estimates were controlled by the migration flows published at NUTS1 scale from the UK wide NHS Central Register to which country specific flows between NUTS2 regions from the various patient registers were fitted. The gaps, flows between regions in different devolved territories, were filled by adjusting comprehensive flow data from the 2001 Census to the published NHSCR flows. Age detail was added only to the total out‐migration and in‐migration flows from each region using a fixed national profile of migration rates by age from the 2001 Census. The resulting time series of flow data provide, therefore, the three matrix faces of an origin‐destination‐age array for each time period. The paper describes the details of the estimation process and reports on some of the trends that the time series show.