We are starting to understand the magnitude of economic damage from the COVID-19 pandemic. Current estimates cover the national or state level, but tell us little about how massive business closures may be affecting urban vitality at the intrametropolitan level. A particular concern is whether urban areas with high poor or minority populations are more deeply affected. This paper combines InfoGroup Historic Business Data and Google Map API to analyze business closures at the neighborhood level in Franklin County, Ohio, encompassing the Columbus Metropolitan Area. As expected, retail and restaurant sectors had the highest number of closures, but closure rates were higher in other sectors. Descriptive and multivariate analyzes reveal that downtown Columbus has been severely affected, but no disadvantaging effect for communities of color or neighborhoods with concentrations of poor residents is found to be statistically significant.

中文翻译：

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COVID-19 是否会导致贫困和少数民族社区更多企业倒闭？

我们开始了解 COVID-19 大流行造成的经济损失的严重程度。目前的估计涵盖了国家或州一级，但几乎没有告诉我们大规模企业倒闭可能如何影响大都市内部的城市活力。一个特别值得关注的是贫困人口或少数民族人口较多的城市地区是否受到更严重的影响。本文结合 InfoGroup 历史商业数据和 Google Map API 来分析俄亥俄州富兰克林县（包括哥伦布都会区）社区层面的商业关闭情况。正如预期，零售和餐饮业的倒闭数量最多，但其他行业的倒闭率更高。描述性和多变量分析表明，哥伦布市中心受到了严重影响，但对有色人种社区或贫困居民集中的社区的不利影响并未发现具有统计显着性。