论组合统计区域的选择

J. Ottensmann
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引用次数: 15

摘要

一些都市统计区(msa)未能涵盖都市地区的全部范围。组合统计区域(csa),即基于核心的统计区域的组合,更大,对于某些分析可能是更合适的选择。msa和csa之间的差异(有些msa甚至不包括在csa中)从较小的msa到大型msa的组合,人口增长从几个百分点到一倍以上不等。以通勤铁路服务和共享机场的形式共享交通基础设施,展示了将区域整合到csa中。此外,为2000年人口普查所界定的都市生活保障指标范围与目前的都市生活保障指标相当,而目前的都市生活保障指标是由于后来界定都市地区的方式发生变化而产生的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Choice of Combined Statistical Areas
Some Metropolitan Statistical Areas (MSAs) fail to encompass the full extent of metropolitan areas. Combined Statistical Areas (CSAs), combinations of Core-Based Statistical Areas, are larger and may be more a more appropriate choice for certain analyses. Differences between MSAs and CSAs (and some MSAs are not even included in CSAs) range from minor to the combination of large MSAs, with population increases ranging from a few percent more than doubling. The sharing of transportation infrastructure in the form of commuter rail service and shared airports demonstrates the integration of areas combined into CSAs. In addition, the extent of the MSAs defined for the 2000 census are comparable to current CSAs, which arise from a subsequent change in how metropolitan areas are defined.
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