The Central Board of Direct Taxes (CBDT) has released Time-Series data, showcasing significant growth in Direct Tax collections and a substantial increase in Income Tax Returns (ITRs) filed. The data highlights a surge in Net and Gross Direct Tax Collections, an uptick in the Direct Tax to GDP ratio, and a decline in the cost of collection. This release aims to provide transparency and valuable insights into the effectiveness and efficiency of Direct Tax administration in India.
The Central Board of Direct Taxes (CBDT) has released Time-Series data, providing an extensive overview of Direct Tax collections and administration from Financial Year (F.Y) 2000 to 2022-23. The statistics highlight substantial growth and positive trends in India’s Direct Tax landscape. Here are the key highlights from the released data:
The release of this comprehensive Time-Series data into the public domain serves as a valuable resource for academicians, research scholars, economists, and the general public. It allows for an in-depth examination of long-term trends, providing insights into the effectiveness and efficiency of Direct Tax administration in India. This wealth of information will contribute to informed analysis and a deeper understanding of the nation’s fiscal landscape.
Q1: What is the significance of the CBDT’s release of Time-Series data?
A1: The release of Time-Series data provides valuable insights into the long-term trends and effectiveness of Direct Tax administration in India, benefiting academicians, research scholars, economists, and the general public. Q: How has the Direct Tax landscape in India evolved from F.Y. 2013-14 to F.Y. 2022-23?
A2: The data shows impressive growth in Net and Gross Direct Tax Collections, an increase in the Direct Tax to GDP ratio, and a substantial surge in the number of ITRs filed, reflecting positive trends in the Direct Tax landscape. Q3: What does the decline in the cost of collection signify?
A3: The decline in the cost of collection indicates enhanced efficiency in tax administration, leading to improved cost management and resource utilization.