根据《国家统计局关于做好2023—2027年住户调查周期内样本轮换工作的通知》，2025年8月到11 月，黄浦区、徐汇区、长宁区、静安区、普陀区、虹口区、杨浦区、嘉定区、松江区、奉贤区和崇明区 11个区将开展住户调查周期内样本轮换，范围涉及81个乡镇街道，220个村（居）委会，预计对2.5万余 户居民家庭进行清查摸底，从中抽取2200户居民家庭作为新的国家样本参与记账。 国家统计局呼吁，在住户调查样本轮换中，被抽中的居民家庭积极参与并支持调查工作，认真履行 《统计法》关于公民真实准确完整及时提供调查所需资料的义务，如实反映生活状况，用实际行动帮助 国家更好倾听民声民意、更好制定民生政策。对于填报的个人和家庭信息，国家统计局将按规定予以严 格保密。 记者 吴丹璐 记者昨天从国家统计局上海调查总队获悉，上海近期将开展住户调查周期内样本轮换工作，入户摸 底调查和新样本的落实工作将从8月开始，持续到11月。 住户调查是一项全面反映居民生活状况的重要民生调查，主要统计居民人均可支配收入和消费支出 等相关数据。这些数据对于了解全国和各地区城乡居民收入、消费及其他生活状况，客观监测居民收入 分配格局和生活质量水平具有重要作 ...

Core Viewpoint - The article highlights significant downward revisions in U.S. non-farm employment data, indicating potential issues with data accuracy and reliability, raising concerns about the underlying economic conditions [1][4][19] Group 1: Employment Data Revisions - In July, the U.S. non-farm payrolls added only 73,000 jobs, significantly below expectations, with prior months' data revised down by 258,000, marking the largest downward adjustment since the COVID-19 pandemic [1] - The revisions included a downward adjustment of 125,000 jobs for May, changing from +144,000 to +19,000, and a reduction of 133,000 jobs for June, from +147,000 to +14,000 [2][7] Group 2: Data Collection Challenges - The accuracy of employment reports is being challenged by a declining response rate from businesses and households participating in government surveys, with recent response rates dropping below 60%, compared to pre-pandemic levels of over 70% [10][12] - The Labor Statistics Bureau's ability to collect and analyze economic data is being hampered by budget cuts and resource constraints, particularly highlighted during the Trump administration [15][16] Group 3: Underlying Issues - The decline in survey participation is attributed to long-standing social and institutional factors, including public fatigue with surveys and eroding trust in government institutions [13][14] - Economic policy changes under the Trump administration may have further exacerbated the quality of data, as businesses struggle to adapt to rapid policy shifts [17]