北卡五年诈骗举报损失超10亿美元达勒姆县移民服务诈骗人均率全州最高
位于北卡罗来纳州韦克县的 Raleigh 与 Durham 一带，10月22日发布的一项数据分析显示，北卡罗来纳州消费者过去五年举报的诈骗损失总额超过10亿美元，且逐年攀升：举报损失从2021年的约9500万美元，升至2025年的3.42亿多美元；举报数量则大致持平，2021年约7.1万件、2025年约7.4万件。这项分析由美联社基于联邦贸易委员会（FTC）数据完成。分析特别以达勒姆县为例：该县约35万人口，五年间被归类为“移民服务诈骗”的举报只有7件，却已是全州该类别的人均最高比率。分析指出，举报数不等于经核实的诈骗数，许多受害者从未举报，移民社区的实际受害规模无从得知；FTC多年前就已关注北卡的移民服务诈骗问题，早在2014年就曾与联邦公民及移民服务局在达勒姆举办面向移民社区的消费者保护活动。北卡州司法部提醒居民，付款或提供个人信息前先核实商家与网站是否合法，怀疑受骗可向该部投诉。
North Carolina Consumers Report Over $1 Billion in Scam Losses in Five Years; Durham County Has State's Highest Per-Capita Immigration-Scam Rate
RALEIGH–DURHAM, North Carolina — An analysis released on October 22 shows that scam losses reported by North Carolina consumers have totaled more than $1 billion over the past five years and are climbing year by year: reported losses rose from about $95 million in 2021 to more than $342 million in 2025, while the number of reports held roughly steady, about 71,000 in 2021 and about 74,000 in 2025. The analysis, by the Associated Press based on Federal Trade Commission (FTC) data, highlights Durham County: a county of about 350,000 people, it recorded only seven reports categorized as immigration-services scams over five years, yet that is the highest per-capita rate for that category in the state. The analysis notes that reports are not the same as verified scams, that many victims never report, and that the true scale of victimization in immigrant communities is unknown; the FTC has long tracked immigration-services scams in North Carolina and, as early as 2014, joined U.S. Citizenship and Immigration Services for a consumer-protection event in Durham aimed at immigrant communities. The North Carolina Department of Justice reminds residents to verify that a business or website is legitimate before paying money or handing over personal information, and to file a complaint with the department if they suspect a scam.
来源：GSM·美国（原文链接）
图片来源：Raleigh 市区天际线。图片：James Willamor，CC BY-SA 3.0，经 Wikimedia Commons。 / Downtown Raleigh skyline. Photo: James Willamor, CC BY-SA 3.0, via Wikimedia Commons.
