Based on the panel data from 2011 to 2022,this paper uses entropy weight method,coupling coordination degree model,dagum Gini coefficient decomposition method and kernel density estimation to study the coordination level,temporal and spatial pattern and convergence of financial and real economy in 30 provinces of China.The results show that:(1)China's financial and real economy systems are characterized by high development in the East and low development in the West;the coupling coordination type of the two systems belongs to the mild maladjustment development type.(2)From 2011 to 2022,the overall spatial difference of the coupling coordination degree between finance and the real economy showed a downward trend of fluctuation.The contribution rate of regional differences and hyper variable density to spatial differences is low.The Gini coefficient between the eastern and western regions is the largest,and the coupling coordination degree difference between the eastern regions is the largest.(3)The proportion of provinces with high level of coupling and coordination between finance and real economy increased;the internal differences of the whole country and the central and western regions are increasing,while the internal differences of the northeast and eastern regions are narrowing.(4)The coefficient of variation of China's finance and real economy shows a downward trend,and the σ convergence is obvious,and the result is similar to that of dagum Gini coefficient.