全国城市网格职住娱人口数量及基础画像统计数据集

将城市按照geohash7网格划分（约150M*170M），基于对用户居住、工作、到访行为的判定，利用联通人口扩样算法，统计分析城市每一个网格中各类人口的数量，及基础画像、偏好画像，为多个领域客户进行区域人口洞察提供有效数据支撑。在商业选址领域，有助于基于人口数量和画像精确评估潜在店铺位置的商业潜力，选择最合适的区域开设新店；在户外广告投放方面，可以辅助媒体主和广告商精准了解媒体覆盖范围内受众，定向投放广告，提高广告投放的效果；在房地产领域，房地产开发商和服务商可以深入了解不同地理网格中的人口结构和需求，辅助拿地和房产开发决策。城市规划和交通优化领域，可以更好地了解城市中不同区域的人口密度和流动趋势，有助于进行更有效的城市规划和交通优化；社区服务管理方面，可以根据居民的需求定制更精准的社区服务和基础设施建设，提高社区满意度和整体生活质量。

This dataset divides cities into geohash7 grids (approximately 150m × 170m per grid). Based on the identification of users' residence, work and visiting behaviors, and utilizing the linked population extrapolation algorithm, it statistically analyzes the quantity of various populations in each urban grid, as well as their basic and preference profiles, providing effective data support for customers across multiple sectors to conduct regional population insights. In the field of commercial site selection, it helps to accurately evaluate the commercial potential of potential store locations based on population size and profiles, and select the most suitable areas to open new stores. For outdoor advertising placement, it can assist media owners and advertisers to accurately understand the audience within the coverage of their media, deliver targeted advertisements and improve the effectiveness of advertising campaigns. In the real estate sector, real estate developers and service providers can gain in-depth insights into the population structure and demands in different geographic grids, supporting land acquisition and real estate development decisions. In the fields of urban planning and traffic optimization, it enables a better understanding of population density and flow trends in different urban areas, facilitating more effective urban planning and traffic optimization. In terms of community service management, it allows the customization of more precise community services and infrastructure construction based on residents' needs, thereby improving community satisfaction and overall quality of life.