The deep application of big data technology promotes the transformation of public governance towards data-driven approach. As the "nerve endings" of the statistical system, the digital transformation of grassroots statistics is a key link in promoting the modernization of statistical reform. At present, grassroots statistical work in China is facing practical difficulties such as lagging technological application, cumbersome and inefficient processes, and weak talent support, making it difficult to adapt to the core needs of statistical data in the new era of governance. This article takes the digital transformation of grassroots statistical work as the research object, and adopts research methods such as literature research and survey interviews to systematically analyze the current situation and core challenges of grassroots statistical work transformation, and construct a three-dimensional transformation framework covering "principles methods paths". Research has clarified that transformation should follow four core principles: adaptability and systematicity. A method system integrating technology empowerment, process optimization, talent cultivation, and mechanism guarantee has been proposed, and a three-stage practical path has been designed for early preparation, core implementation, and consolidation and improvement. The research results provide theoretical references and practical guidance for solving the difficulties of grassroots statistical digital transformation and improving the efficiency of grassroots statistical governance, enriching the research from the grassroots perspective in the field of statistical digital transformation.

Hongxu Zhang. Research on the Digital Transformation Methods and Practices of Grassroots Statistical Work under the Background of Big Data. International Journal of Frontiers in Sociology (2025), Vol. 7, Issue 8: 38-44. https://doi.org/10.25236/IJFS.2025.070806.

[1] Ping Q Y. Analysis of Effective Strategies for Improving the Quality of Grassroots Statistical Data under the Background of Big Data [J]. China Electronic Market, 2024, (1):34-35.

[2] Guo Y Q. Research on the Economic Statistics Work of Grassroots Governments under the Background of Big Data [J]. Shanxi Agricultural Economy, 2025, (18):149-151.

[3] Fan X L. Optimization Suggestions for the Quality Management of Grassroots Government Data Statistics [J]. Digital Communication World, 2024, (4):167-169+172.