This study measures the level of rural revitalization in China from 2011 to 2021 using an indicator system based on five dimensions: prosperous industry, ecological livability, civilized countryside, affluent living, and effective governance. The entropy weight method is used to calculate the level of rural revitalization, while the Dagum Gini coefficient and kernel density function are used to analyze regional differences and dynamic evolution. The results show that the overall level of rural revitalization in China is low but fluctuating and increasing. Regionally, eastern China scores higher than central, western, and northeastern China. In terms of dimensions, ecological livability scores are higher than prosperous industry, effective governance, affluent living, and civilized countryside. Regional differences in rural revitalization are mainly between regions, especially between eastern and western China, but the gap is narrowing. The kernel density results show that the level of rural revitalization in China shows slow and balanced growth, but eastern China shows polarization growth. The study provides a comprehensive and objective outline of the advantages and shortcomings of rural revitalization development in China and offers policy recommendations for the comprehensive and stable promotion of rural revitalization. The findings indicate that the overall level of rural revitalization is low but increasing, with regional differences narrowing over time. The study also highlights the need to avoid polarization and promote coordinated development of rural revitalization across the country. The paper concludes that the level of rural revitalization in China is generally low and structurally uneven, with the overall gap mainly coming from inter-regional differences, and the overall gap is slowly narrowing. The study recommends optimizing existing policies, supporting green industries, and promoting coordinated development to achieve sustainable rural revitalization.This study measures the level of rural revitalization in China from 2011 to 2021 using an indicator system based on five dimensions: prosperous industry, ecological livability, civilized countryside, affluent living, and effective governance. The entropy weight method is used to calculate the level of rural revitalization, while the Dagum Gini coefficient and kernel density function are used to analyze regional differences and dynamic evolution. The results show that the overall level of rural revitalization in China is low but fluctuating and increasing. Regionally, eastern China scores higher than central, western, and northeastern China. In terms of dimensions, ecological livability scores are higher than prosperous industry, effective governance, affluent living, and civilized countryside. Regional differences in rural revitalization are mainly between regions, especially between eastern and western China, but the gap is narrowing. The kernel density results show that the level of rural revitalization in China shows slow and balanced growth, but eastern China shows polarization growth. The study provides a comprehensive and objective outline of the advantages and shortcomings of rural revitalization development in China and offers policy recommendations for the comprehensive and stable promotion of rural revitalization. The findings indicate that the overall level of rural revitalization is low but increasing, with regional differences narrowing over time. The study also highlights the need to avoid polarization and promote coordinated development of rural revitalization across the country. The paper concludes that the level of rural revitalization in China is generally low and structurally uneven, with the overall gap mainly coming from inter-regional differences, and the overall gap is slowly narrowing. The study recommends optimizing existing policies, supporting green industries, and promoting coordinated development to achieve sustainable rural revitalization.