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September 7, 2026
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Free trade agreements and cyber-fraud prevention feature in India's stated strategy for economic growth, security, and digital protection.
India's external economic strategy relies on diplomatic engagement, strategic partnerships and free trade agreements to sustain growth amid geopolitical uncertainty. Cooperation extends to defence, technology, energy, investment and trade, as well as digital public infrastructure, disaster relief and capacity building. Internal and border security are treated as conditions for national development, while police responsibilities include community safety, maritime protection and tourist safety. Growing cyber-fraud risks linked to the digital economy are addressed through coordination with states and the national cybercrime helpline.
September 7, 2026
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Financial fraud prevention advances through accessible complaints, cyber awareness, intelligence-sharing, and AI-based detection of mule accounts.
Financial-fraud prevention measures rely on coordinated review of alleged fraud, unauthorised deposit collection, complaints, market intelligence, investor protection and cyber threats. The SACHET portal supports market intelligence and complaints concerning unregulated financial activities through multilingual and accessibility features. MuleHunter.ai uses artificial intelligence and machine learning to identify mule accounts used in fraudulent fund flows. Financial-literacy programmes and accessible educational initiatives promote safe banking, fraud awareness and coordinated responses to cyber-enabled financial crime.
September 7, 2026
Show AI Summary
Technology-driven tax dispute resolution supports faster tribunal processes, reduced litigation, and improved taxpayer services through digital filing and assessments.
The Kolkata Bench of the Income Tax Appellate Tribunal is intended to expedite tax-dispute resolution across 12 states, including seven northeastern states, while advancing impartial, accessible and swift justice. Its administrative role includes improving justice delivery, reducing pendency and pursuing AI-driven digital transformation. The Income Tax Department and the Tribunal seek reduced litigation and improved taxpayer services through technology-driven measures, including faceless assessment and electronic filing.
September 7, 2026
Show AI Summary
Appeals against NIL or Zero GST demand orders are enabled where taxpayers paid liabilities before issuance of the order.
GST Portal validation restricting appeals against demand orders showing NIL or Zero demand has been removed where a liability dispute exists and the taxpayer made payment before issuance of the demand order. Taxpayers may challenge such orders by filing an appeal in Form GST APL-01, and may raise a ticket with the GST Helpdesk if filing difficulties arise.
September 7, 2026
Show AI Summary
Certificate of origin API integration enables exporters to submit applications, receive certificates, verify issuance, and reduce repetitive data entry.
Open API integration for Certificates of Origin enables eligible exporters to connect ERP, accounting and other business software with the Trade Connect e-Platform for electronic application submission. The facility covers preferential and non-preferential certificates, provides authentication, file-submission and certificate-verification APIs, and maintains a transaction ledger for application tracking. Security measures include digital signatures, password hashing, IP whitelisting and time-limited access tokens. Relevant origin criteria, fields and validation rules are automatically applied according to the selected trade agreement or certification scheme.
September 7, 2026
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Free trade agreements and strategic partnerships were identified as supporting India's trade engagement and economic growth amid geopolitical disruption.
India's international economic engagement through free trade agreements and strategic partnerships was identified as a means of sustaining economic growth amid geopolitical disruption. Economic cooperation was described as extending across defence, technology, energy, investment and trade. Nine free trade agreements were stated to have been concluded by 2026, with further trade arrangements proposed with other countries. Pursuit of free trade agreements was linked to increasing trade and to reported first-quarter GDP growth in the financial year 2026-27.
September 7, 2026
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Leadership, talent recognition and legacy framed a discussion linking cricketing performance with entrepreneurship and organisational responsibility.
No FEMA or RBI regulatory measure, compliance obligation, legal interpretation, or adjudicatory determination is identified. The subject matter concerns leadership, performance and entrepreneurship, with emphasis on preparation, decision-making under pressure, teamwork, recognising potential and supporting talent. Corporate success is linked with creating opportunities, contributing to society and building a lasting legacy. Zaggle is described as providing enterprise spend management, card-based financial products through banking partnerships and software offerings for corporate customers.
September 7, 2026
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AI-driven digital markets require competition scrutiny of autonomous pricing, self-preferencing, discriminatory pricing, tying, and market manipulation.
Artificial intelligence may accelerate anti-competitive conduct in digital markets through self-preferencing, discriminatory pricing, tying and market manipulation. Agentic AI may create particular concerns where it monitors competitors' prices and autonomously responds without direct human intervention. Competition law aims to prevent anti-competitive practices, promote competition, protect consumers and preserve freedom of trade, while allowing legitimate growth and innovation. Market dominance is not objectionable in itself; concern arises from abuse of dominance through exclusionary or exploitative practices.
September 7, 2026
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Healthcare innovation and supply-chain self-reliance are prioritised through trade access, investment, research collaboration, testing infrastructure, and quality standards.
Healthcare-sector development priorities seek to expand medical devices, diagnostics, digital health, research, and pharmaceutical machinery through exports, import substitution, and services growth. Free trade agreements are presented as supporting preferential market access, services opportunities, and mobility. Sectoral growth is linked to startup incubation, intellectual-property capability, international research collaboration, technology transfer, and joint ventures. Healthcare self-reliance requires indigenous equipment, critical components, resilient supply chains, shared testing and certification infrastructure, and uncompromising quality standards.
September 7, 2026
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Medical value tourism quality standards prioritise verified hospitals, ethical treatment, transparent pricing, and seamless international patient care.
Medical value tourism is proposed to expand through trained caregivers, transparent treatment packages, ethical hospital practices, seamless reimbursement and cashless-payment systems, telemedicine, and verified hospital participation. International patients are intended to receive care through accredited quality systems, supported by interpreters, global outreach, and coordinated healthcare networks. Expansion beyond metropolitan areas must maintain equivalent high-quality care for domestic and foreign patients without discrimination. Certification systems are expected to remain professionally independent and free from unethical influence.
September 7, 2026
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Foreign exchange market pressures from rising crude oil and weak domestic equities constrained rupee support from foreign inflows.
Foreign exchange market conditions caused the rupee to depreciate against the US dollar despite support from FCNR dollar inflows and a softer dollar. Rising crude oil prices, weak domestic equities and global headwinds constrained gains. The outlook remained dependent on foreign inflows, dollar movements, crude prices, market sentiment and inflation data, with geopolitical tensions capable of increasing pressure on the currency.
September 7, 2026
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Healthcare supply-chain resilience requires diversified sourcing, global investment, domestic innovation, and stronger medical-device production supported by enabling infrastructure.
Healthcare supply-chain resilience requires diversified sourcing, restoration of domestic capacity in Active Pharmaceutical Ingredients and Key Starting Materials, and continued imports where necessary through multiple suppliers and geographies. Pharmaceutical industry growth should move beyond generics towards research, development, patented products, new molecules, biosimilars and biotechnology. Regulatory convergence should support clinical trials, patenting and new-product introduction. Government support is contemplated for medical value travel, healthcare infrastructure, bulk drug parks, plug-and-play facilities, medical-device component production and scientific validation of Ayush products.
September 7, 2026
Show AI Summary
Foreign exchange market pressures offset rupee support from FCNR inflows amid higher crude oil and dollar demand.
The rupee gained marginally against the US dollar, supported by FCNR-related dollar inflows and robust liquidity. Elevated Brent crude prices, safe-haven dollar demand and geopolitical tensions constrained this support. Higher oil prices may enlarge India's import bill, increase dollar demand and pressure the rupee, although rising foreign-exchange reserves indicated external-sector strength.
September 6, 2026
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Census data privacy and electoral integrity concerns emerge alongside calls to repeal insolvency law and protect political dissent.
CPI(M) called for repeal of the Insolvency and Bankruptcy Code, alleging that insolvency processes enabled diversion of public resources. It questioned economic growth figures against agricultural weakness, mining contraction, higher input costs, inflation, unemployment and malnutrition. The party also raised Census data privacy concerns over caste-data collection, potential linkage with government databases, and possible implications for citizenship, electoral rolls and future delimitation.
September 6, 2026
Show AI Summary
Food business licensing: Third-party restaurant operators require their own licences and cannot operate under another entity's registration.
Food Business Operator licensing requires the entity holding a food licence or registration to itself conduct the licensed food business at the specified premises. A third-party operator cannot operate under another entity's licence or registration and must obtain its own licence or registration. Regulatory notices concerning such arrangements may also address hygiene lapses and structural violations, followed by consideration of the operators' responses.
September 6, 2026
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European diesel supply dependence on alternative refiners grows amid constrained exports, weakening transatlantic flows, and restricted shipping routes.
European diesel supply is becoming increasingly dependent on Indian refining capacity as Russian diesel and gasoil exports remain constrained by export restrictions, refinery disruptions and port outages, while US shipments to Europe have weakened. Alternative supply routes offer limited additional clean-product volumes because reduced tanker crossings and lower ship-to-ship transfers offshore Oman constrain flows through the Strait of Hormuz. Low diesel inventories, seasonal demand and planned refinery maintenance increase exposure to supply disruptions.
September 5, 2026
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Tariff-driven inflation and elevated borrowing costs constrain growth, while durable deficit reduction may require spending restraint and tax increases.
Persistent inflation, elevated interest rates and rising public debt constrain economic growth policy. Tariffs and oil shortages are identified as contributing to inflationary pressures, while lower interest rates could increase money flows and worsen inflation. Tariffs, tax cuts, artificial intelligence productivity gains and anti-fraud measures are advanced as mechanisms to support growth, investment and domestic employment. Fiscal sustainability, however, cannot be achieved through growth alone where social security and healthcare costs exceed revenue growth; deficit reduction may require slower spending, spending reductions and tax increases.
September 5, 2026
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AI data centre development receives state support for a high-capacity campus and accelerated commissioning timetable.
HyperVault's proposed artificial-intelligence data-centre campus in Hyderabad is planned on 264 acres, with investment projected at up to Rs 70,000 crore and capacity of up to 1 GW. The campus is intended to provide high-density, liquid-cooled computing infrastructure for frontier AI companies and hyperscalers. Telangana's Chief Minister sought inauguration by June 2, 2028, while assuring required governmental sanctions and support. The project is estimated to create 7,000 jobs.
September 5, 2026
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Inflated net-worth certificates allegedly enabled secured lending, triggering fraud, breach-of-trust and asset-stripping allegations after default.
Alleged inflation of net-worth certificates is said to have induced approval and disbursal of two corporate loan facilities aggregating Rs 980 crore, each secured by continuing personal guarantees. The facilities subsequently defaulted. The FIR alleges that materially higher net-worth representations made in 2018 were later contradicted during insolvency proceedings, and attributes the lending to collusion among the guarantor, borrower entities and their officers. Allegations include cheating, creation of false documents, misappropriation and misapplication of loan funds, breach of trust, and asset stripping intended to frustrate recovery.
September 5, 2026
Show AI Summary
AI data centre infrastructure investment enables phased deployment of high-density, liquid-cooled computing capacity using green and water-neutral design.
HyperVault plans to develop an artificial intelligence data-centre campus on 264 acres in Hyderabad, with capacity of up to 1 GW and investment by HyperVault and its partners of up to Rs 70,000 crore. The facility is intended to provide high-density, liquid-cooled computing infrastructure for frontier AI companies and hyperscalers. Development will proceed in phases according to customer demand and technology requirements, incorporating green-energy use and water-neutral design principles.

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Income Tax Department Time Series Data Financial Year 2000-01 to 2024-25

December 5, 2025

Contents
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Income Tax Department

Time Series Data

Financial Year 2000-01 to 2024-25

Contents
Overview ................................................................................................................ 2
1.1 Direct Tax Collection ....................................................................................... 2
1.2 State And U.T. Wise Break-Up of Collection .................................................. 3
1.3 Contribution Of Direct Taxes To Total Tax Revenue ..................................... 5
1.4 Direct-Tax GDP Ratio....................................................................................... 6
1.5 Pre-Assessment and Post-Assessment Collections ..................................... 8
1.6 Cost of Collection ........................................................................................... 10
1.7 Number of Income-Tax Returns Filed (including Revised Return) ……....…12
1.8 Number of Persons Filing Income-Tax Return (Return Filers) …….……….13
1.9 Number of taxpayers ……………….……………..……………………………….14

 

Issued by

CENTRAL BOARD OF DIRECT TAXES

Overview

Actual figures based on internal reporting/MIS of the Income Tax Department or figures reported by Controller General of Accounts or data published by other Government agencies, as the case may be.

1.1 Direct Tax Collection

(Rs. crore)

Financial Year

Corporate Tax

Non-Corporate Tax@

Other Direct Tax

Total

2000-01

35,696

31,764

845

68,305

2001-02

36,609

32,004

585

69,198

2002-03

46,172

36,866

50

83,088

2003-04

63,562

41,386

140

1,05,088

2004-05

82,680

49,268

823

1,32,771

2005-06

1,01,277

63,689

250

1,65,216

2006-07

1,44,318

85,623

240

2,30,181

2007-08

1,93,561

1,20,429

340

3,14,330

2008-09

2,13,395

1,20,034

389

3,33,818

2009-10

2,44,725

1,32,833

505

3,78,063

2010-11

2,98,688

1,46,258

1,049

4,45,995

2011-12

3,22,816

1,70,181

990

4,93,987

2012-13

3,56,326

2,01,840

823

5,58,989

2013-14

3,94,678

2,42,888

1,030

6,38,596

2014-15

4,28,925

2,65,772

1,095

6,95,792

2015-16

4,53,228

2,87,637

1,079

7,41,945

2016-17

4,84,924

3,49,503

15,286

8,49,713

2017-18*

5,71,202

4,20,084

11,452

10,02,738

2018-19*

6,63,572

4,73,179

967

11,37,718

2019-20*

5,56,876

4,92,717

1,088

10,50,681

2020-21*

4,57,719

4,87,560

1,897

9,47,176

2021-22*

7,12,037

6,96,604

3,781

14,12,422

2022-23*

8,25,834

8,33,307

4,545

16,63,686

2023-24*

9,11,055

10,44,726

4,385

19,60,166

2024-25*

9,86,767#

12,35,161#

4,447#

22,26,375#

Source: Union Finance Accounts of respective years and reports of C&AG/Receipt Budget upto FY 2016-17.

* Pr. CCA, CBDT

@ Figures under NCT includes taxes paid by individuals, HUFs, Firms, AoPs, BoIs, Local Authorities, Artificial Juridical Person. NCT also includes collections of Security Transaction Tax.

# Provisional.

1.2 State And U.T. Wise Break-Up of Collection

(Rs. crore)

States/UT

FY 2018-19*

FY 2019-20*

FY 2020-21*

FY 2021-22*

FY 2022-23*

FY 2023-24#

FY 2024-25#

Andhra Pradesh

46,222.64

42,730.45

40,314.07

56,663.27

57,324.09

26,066.46

23,804.85

Arunachal Pradesh

250.57

241.48

182.06

233.34

293.90

233.98

150.60

Assam

6,262.81

4,723.02

4,550.89

5,688.45

8,111.38

7,510.93

6,819.31

Bihar

6,239.41

5,723.48

5,381.96

7,396.60

6,845.32

6,692.73

6,904.99

Jharkhand

6,933.63

6,637.17

5,581.39

7,031.06

9,213.47

10,500.59

10,712.95

Goa

2,459.22

2,170.29

2,655.27

2,879.41

3,379.19

3,867.43

4,515.85

Gujarat

49,021.50

49,517.69

46,863.55

71,642.27

85,018.91

93,300.72

1,07,241.41

Haryana

29,881.15

27,824.12

24,492.81

37,729.33

45,649.85

70,947.31

79,731.48

Himachal Pradesh

2,419.92

2,482.26

2,322.74

3,072.86

3,537.79

3,150.17

3,076.54

Jammu Kashmir

1,563.42

 

 

 

 

 

 

Karnataka

1,19,796.08

1,08,973.15

1,16,254.58

1,68,678.09

2,08,168.88

2,34,098.39

2,61,528.83

Kerala

17,021.10

15,164.10

14,515.59

19,562.02

23,983.26

23,966.92

27,974.60

Madhya Pradesh

19,696.93

18,698.24

13,283.23

18,137.83

19,484.78

20,086.99

19,639.22

Chhattisgarh

5,272.04

5,008.88

4,451.08

7,782.70

8,747.52

13,534.13

12,518.10

Maharashtra

4,25,389.70

3,84,258.21

3,31,969.03

5,24,497.65

6,05,268.35

7,61,716.30

8,97,425.86

Manipur

171.95

139.11

417.65

310.50

383.13

323.12

368.17

Meghalaya

1,125.20

1,101.54

999.73

1,063.86

1,608.82

1,800.73

2,174.48

Mizoram

59.57

42.28

44.07

90.14

105.36

81.78

74.46

Nagaland

121.21

134.77

176.91

292.70

295.44

344.10

225.27

Delhi

1,66,404.99

1,49,613.12

1,20,120.94

1,77,824.22

2,21,522.20

2,03,197.06

2,29,250.33

Odisha

13,420.44

13,581.03

10,257.99

15,587.24

19,590.40

20,865.54

25,444.08

Punjab

11,820.10

11,703.85

10,491.10

15,981.11

17,271.44

17,215.00

19,656.65

Rajasthan

21,059.38

16,507.93

17,539.35

25,215.64

30,609.56

30,551.42

34,382.78

Sikkim

479.67

400.26

291.82

384.10

365.17

287.83

292.17

Tamil Nadu

74,238.70

69,809.31

61,122.33

88,438.33

1,07,063.82

1,27,067.17

1,32,368.09

Tripura

312.49

292.02

488.73

424.19

481.39

417.38

387.29

Uttar Pradesh

27,687.93

26,990.00

26,735.17

34,719.83

37,983.05

48,333.44

69,011.21

Uttarakhand

3,265.19

3,406.16

3,088.27

4,208.44

4,632.19

15,861.49

2,629.65

West Bengal

44,638.58

40,628.71

40,310.24

53,774.61

55,560.62

60,374.64

63,075.47

Telangana

10,860.20

14,045.81

15,853.93

27,184.95

35,433.56

84,439.24

97,860.86

State Sub-total

11,14,095.72

10,22,548.46

9,20,756.48

13,76,494.77

16,17,932.86

18,86,832.99

21,39,245.55

Andaman Nicobar

115.50

116.17

67.88

88.86

96.18

79.88

66.33

Chandigarh

2,730.66

2,668.12

1,868.01

3,574.08

3,939.81

3,972.80

4,741.55

Daman and Diu

270.93

264.40

548.34

985.00

344.18

440.48

998.03

Dadar N. Haveli

256.65

269.65

669.78

518.50

Puducherry

800.02

805.41

611.86

991.78

1,268.68

1,273.44

1,299.72

Ladakh

-

-

0.02

-0.06

0.01

-1.54

-0.68

Lakshadweep

19.44

20.36

20.77

28.79

33.52

39.79

28.79

Jammu Kashmir

 

1,318.29

1,036.83

1,778.40

2,036.10

1,965.17

2,708.95

UT Sub-total

4,193.20

5,462.4

4,153.71

7,446.85

8,388.26

8,288.52

9,842.69

C.T.D.S.

19,429.56

22,669.70

22,266.20

28,480.83

37,365.35

40,548.08

41,723.25@

Foreign

 

 

 

 

 

26,122.34

35,715.47

Unapportioned

 

 

 

 

 

31.64

-152.02

Grand Total

11,37,718.48

10,50,680.56

9,47,176.37

14,12,422.45

16,63,686.47

19,61,823.56

22,26,374.94

*Source: Pr. CCA, CBDT (based on NSDL data).

# Source: DGIT (Systems), Provisional figures (FY 2024-25)

@ Pr. CCA, CBDT, Provisional Figures

Note-1 : The interpretation of 'Foreign' is the state-code mentioned in communication address is '99' as Outside India.

Note-2:- The interpretation of 'unapportioned' is the state-code mentioned in communication address is either blank/null or it holds an incorrect value.

1.3 Contribution Of Direct Taxes to Total Tax Revenue

Financial Year

Direct Taxes*

(Rs. crore)

Indirect Taxes**

(Rs. crore)

Total Taxes

(Rs. crore)

Direct Tax As

% Of Total Taxes

2000-01

68,305

1,19,814

1,88,119

36.31%

2001-02

69,198

1,17,318

1,86,516

37.10%

2002-03

83,088

1,32,608

2,15,696

38.52%

2003-04

1,05,088

1,48,608

2,53,696

41.42%

2004-05

1,32,771

1,70,936

3,03,707

43.72%

2005-06

1,65,216

1,99,348

3,64,564

45.32%

2006-07

2,30,181

2,41,538

4,71,719

48.80%

2007-08

3,14,330

2,79,031

5,93,361

52.97%

2008-09

3,33,818

2,69,433

6,03,251

55.34%

2009-10

3,78,063

2,43,939

6,22,002

60.78%

2010-11

4,45,995

3,43,716

7,89,711

56.48%

2011-12

4,93,987

3,90,953

 8,84,940

55.82%

2012-13

5,58,989

4,72,915

10,31,904

54.17%

2013-14

6,38,596

4,95,347

11,33,943

56.32%

2014-15

6,95,792

5,43,215

12,39,007

56.16%

2015-16

7,41,945

7,11,885

14,54,180

51.03%

2016-17

8,49,713

8,61,515

17,11,228

49.65%

2017-18

10,02,738

9,15,256

19,17,994

52.28%

2018-19

11,37,718

9,37,322

20,75,040

54.83%

2019-20

10,50,681

9,53,513

20,04,194

52.42%

2020-21

9,47,176

10,74,809

20,21,985

46.84%

2021-22

14,12,422

12,89,662

27,02,084

52.27%

2022-23

16,63,686

13,81,935

30,45,621

54.63%

2023-24

19,60,166

14,96,114

34,56,280

56.71%

2024-25

22,26,375@

15,59,596@

37,85,971@

58.81%

Source: * Pr. CCA, CBDT

** TRU Division, CBIC

@ Provisional.

1.4 Direct-Tax GDP Ratio

Financial year

Net Collection of Direct Taxes

(Rs. Crore)

GDP Current Market Price

(Rs. Crore)

Direct Tax GDP Ratio

GDP Growth Rate

Tax Growth Rate

Buoyancy Factor

2000-01

68,305

21,02,376

3.25%

7.7%

17.85%

2.32

2001-02

69,198

22,81,058

3.03%

8.5%

1.31%

0.15

2002-03

83,088

24,58,084

3.38%

7.76%

20.07%

2.59

2003-04

1,05,088

27,54,621

3.81%

12.06%

26.48%

2.19

2004-05

1,32,771

32,42,209

4.1%

17.7%

26.34%

1.49

2005-06

1,65,216

36,93,369

4.47%

13.92%

24.44%

1.76

2006-07

2,30,181

42,94,706

5.36%

16.28%

39.32%

2.42

2007-08

3,14,330

49,87,090

6.3%

16.12%

35.56%

2.27

2008-09

3,33,818

56,30,063

5.93%

12.89%

6.20%

0.48

2009-10

3,78,063

64,57,352

5.85%

14.69%

13.25%

0.90

2010-11

4,45,995

76,74,148

5.81%

18.84%

17.97%

0.95

2011-12

4,93,987

90,09,722

5.48%

17.4%

10.76%

0.62

2012-13

5,58,989

1,01,13,281

5.53%

12.25%

13.16%

1.07

2013-14

6,38,596

1,13,55,073

5.62%

12.28%

14.24%

1.16

2014-15

6,95,792

1,25,41,208

5.55%

10.45%

8.96%

0.86

2015-16

7,41,945

1,35,67,192

5.47%

8.25%

6.63%

0.80

2016-17

8,49,713

1,53,62,386

5.53%

13.23%

14.53%

1.10

2017-18

10,02,738

1,70,98,304@

5.86%

11.30%

18.00%

1.59

2018-19

11,37,718

1,88,86,957@

6.02%

10.46%

13.46%

1.29

2019-20

10,50,681

2,00,74,856@

5.23%

6.29%

-7.65%

-1.21

2020-21

9,47,176

1,98,29,927@

4.78%

-1.22%

-9.85%

--**

2021-22

14,12,422

2,35,97,399@

5.97%

19.34%

49.12%

2.54

2022-23

16,63,686

2,68,90,473@

6.19%

13.96%

17.79%

1.27

2023-24

19,60,166

3,01,22,956@

6.51%

12.02%

17.82%

1.48

2024-25

22,26,375#

3,30,68,145@

6.73%

9.78%

13.58%

1.39

Source: @ MOSPI Press releases dated 29.5.2020, 31.5.2021, 31.5.2022, 31.5.2023, 31.05.2024 & 30.05.2025.

**As both GDP and Tax growth rate were negative, tax buoyancy has not been computed for FY 2020-21.

# Provisional figures

1.5 Pre-Assessment and Post-Assessment Collections

(Rs. Crore)

Financial Year

TDS

Adv. Tax

Self- Assessment. Tax

Regular Assessment Tax

Other Receipts $

Total Gross Direct Tax Receipts #

2000-01

28,213

32,614

5,841

8,121

5,420

80,209

2001-02

32,672

34,094

5,479

9,492

4,094

85,831

2002-03

36,568

49,158

6,414

10,745

2,184

1,05,069

2003-04

42,955

58,713

9,852

16,015

3,150

1,30,685

2004-05

43,972

90,034

10,043

6,006

10,406

1,60,461

2005-06

58,606

87,084

11,618

22,112

7,875

1,87,294

2006-07

70,689

1,21,227

13,825

30,396

20,495

2,56,632

2007-08

1,05,047

1,58,673

21,375

25,970

43,792

3,54,858

2008-09

1,28,230

1,43,332

30,779

21,337

49,237

3,72,915

2009-10

1,45,736

1,73,417

32,507

33,274

50,229

4,35,163

2010-11

1,68,669

2,12,538

36,887

51,838

43,966

5,13,898

2011-12

1,98,679

2,51,526

27,648

51,512

50,134

5,79,499

2012-13

2,10,654

2,75,794

39,470

62,418

48,596

6,36,932

2013-14

2,48,547

2,92,522

44,123

72,528

63,884

7,21,604

2014-15

2,59,106

3,26,525

52,050

80,189

81,589

7,99,459

2015-16

2,87,412

3,52,899

54,860

63,814

1,05,384

8,64,369

2016-17

3,43,134

4,06,769

68,160

74,138

1,20,200

10,12,401

2017-18*

4,12,768

4,61,967

1,01,873

98,785

79,043

11,54,693

2018-19*

4,87,667

5,30,284

99,716

1,03,774

77,356

12,98,797

2019-20*

4,80,383

4,67,315

85,099

67,620

1,33,842

12,34,258

2020-21*

4,70,276

5,17,769

84,734

42,297

91,815

12,06,891

2021-22*

6,34,243

7,09,364

1,14,506

60,829

1,17,139

16,36,081

2022-23*

8,17,970

7,27,925

1,29,954

78,520

2,17,879

19,72,248

2023-24*

6,51,922

12,77,868

1,17,514

58,194

2,32,924

23,38,422

2024-25*

9,47,915

11,94,297

1,68,713

1,03,886

2,88,296

27,03,107

Source: (i) Reports of C&AG upto FY 2016-17

(ii) *2017-18 onwards: OLTAS & Pr. CCA, CBDT(figures rounded off)

$ Other receipts includes Surcharge, Health & Education Cess, Securities Transaction Tax, Central TDS, Dividend Distribution Tax, Wealth Tax,

Equalization Levy, etc.

# Gross Tax Receipts without reducing refunds.

1.6 Cost of Collection

Financial Year

Total Collections (Rs. Crore)

Total Expenditure (Rs. Crore)

Cost of Collection

2000-01

68,305

929

1.36%

2001-02

69,198

933

1.35%

2002-03

83,088

984

1.18%

2003-04

1,05,088

1,050

1.00%

2004-05

1,32,771

1,138

0.86%

2005-06

1,65,216

1,194

0.72%

2006-07

2,30,181

1,349

0.59%

2007-08

3,14,330

1,687

0.54%

2008-09

3,33,818

2,248

0.67%

2009-10

3,78,063

2,726

0.72%

2010-11

4,45,995

2,698

0.60%

2011-12

4,93,987

2,976

0.60%

2012-13

5,58,989

3,283

0.59%

2013-14

6,38,596

3,641

0.57%

2014-15

6,95,792

4,101

0.59%

2015-16

7,41,945

4,593

0.61%

2016-17

8,49,713

5,578

0.66%

2017-18

10,02,738

6,087

0.61%

2018-19

11,37,718

7,074

0.62%

2019-20

10,50,681

6,952

0.66%

2020-21

9,47,176

7,223

0.76%

2021-22

14,12,422

7,479

0.53%

2022-23

16,63,686

8,452

0.51%

2023-24

19,60,166

8,634

0.44%

2024-25@

22,26,375

9,136

0.41%

Source: Pr. CCA, CBDT (figures rounded off)

@ Provisional

1.7 Number of Income-Tax Returns Filed (Including Revised Return)

 

SR

PAN Category

FY 2013-14

FY 2014-15

FY 2015-16

FY 2016-17

FY 2017-18

FY 2018-19

FY 2019-20

FY 2020-21

FY 2021-22

FY 2022-23

FY 2023-24

FY 2024-25

1

INDIVIDUAL

3,50,43,126

3,74,08,937

4,29,25,794

5,22,05,021

6,45,58,970

6,32,50,002

6,38,98,872

6,94,89,484

6,86,47,490

7,33,11,873

8,13,90,736

8,68,65,490

2

HUF

9,55,457

9,66,500

10,42,522

11,63,543

12,88,544

12,14,410

11,92,227

12,62,864

12,66,524

12,74,426

13,12,454

13,70,123

3

FIRM

9,60,640

9,92,134

11,10,762

11,81,369

13,93,792

14,09,744

13,65,975

15,27,175

15,19,326

15,73,766

16,54,877

17,28,795

4

COMPANY

7,15,005

7,53,508

7,80,470

8,03,990

9,42,834

9,64,862

9,33,867

10,23,751

10,59,314

10,88,414

11,46,117

12,11,364

5

AOP(TRUST)

1,83,712

1,88,157

2,75,810

2,64,519

2,92,047

2,92,173

2,83,579

3,10,468

2,86,049

2,86,997

3,14,183

3,24,707

6

OTHER AOP/BOI

1,05,548

1,11,004

1,53,221

1,68,046

2,14,228

2,11,870

2,09,575

2,68,809

2,54,771

2,66,743

2,99,469

3,29,718

7

LOCAL AUTHORITY

2,815

2,631

3,394

3,483

3,959

3,746

3,396

4,463

3,877

3,763

4,085

4,321

8

AJP

8,653

8,784

10,382

10,899

11,455

10,673

9,593

11,048

9,283

9,907

10,239

10,765

9

OTHERS

10

35

75

108

239

349

366

519

439

461

619

784

 

TOTAL

3,79,74,966

4,04,31,690

4,63,02,430

5,58,00,978

6,87,06,068

6,73,57,829

6,78,97,450

7,38,98,581

7,30,47,073

7,78,16,350

8,61,32,779

9,18,46,067

 

 

Note:

*AOP & BOI category has been merged in one category i.e. “Other AOP/BOI”, accordingly data of return for AOP & BOI has been clubbed.

* PAN Category- ‘Government’ has been changed to PAN Category –‘Others’

* In FY 2017-18 and earlier years, returns of two assessment years (current assessment year + belated returns of previous assessment year) could be filed. However, due to change in law, returns of only the current years can be filed from FY 2018-19 onwards. Hence, the marginal decline in returns filed in FY 2018-19

 

Abbreviation:

AOP: Association of Person

BOI: Body of Individual

HUF: Hindu Undivided Family

AJP: Artificial Juridical Person

 

1.8 Number of Persons Filing Income-Tax Return (Return Filers)

S R

PAN Category

FY 2013-14

FY 2014-15

FY 2015-16

FY 2016-17

FY 2017-18

FY 2018-19

FY 2019-20

FY 2020-21

FY 2021-22

FY 2022-23

FY 2023-24

FY 2024-25

1

INDIVIDUAL

3,04,97,487

3,23,72,285

3,61,38,618

4,15,93,816

5,09,89,970

5,95,44,767

6,11,30,366

6,31,71,013

6,54,61,868

6,96,90,925

7,63,70,510

8,08,80,773

2

HUF

8,73,754

8,91,801

9,40,830

10,07,753

11,14,038

11,66,432

11,58,601

12,01,502

12,26,587

12,46,413

12,85,421

13,31,881

3

FIRM

8,81,059

9,02,948

9,83,984

10,60,323

12,08,349

13,18,828

12,98,406

14,10,154

14,51,576

15,10,551

15,88,455

16,62,015

4

COMPANY

6,36,023

6,70,900

6,92,696

7,15,200

7,99,687

8,47,860

8,40,511

9,24,296

9,71,319

10,27,200

10,80,882

11,37,872

5

AOP(TRUST)

1,60,585

1,62,854

1,79,586

1,91,969

2,23,251

2,44,624

2,41,893

2,63,856

2,71,117

2,74,213

2,90,665

3,03,408

6

OTHER AOP/BOI

88,597

92,018

1,10,778

1,26,723

1,60,456

1,83,270

1,84,360

2,24,358

2,40,167

2,47,682

2,73,672

3,03,624

7

LOCAL AUTHORITY

2,267

2,221

2,465

2,578

2,954

3,102

2,861

3,534

3,594

3,529

3,760

4,029

8

AJP

7,377

7,132

7,784

8,479

9,135

9,430

8,583

9,505

8,800

9,321

9,394

9,982

9

OTHERS

10

26

41

68

157

273

307

396

418

435

556

705

 

TOTAL

3,31,47,159

3,51,02,185

3,90,56,782

4,47,06,909

5,45,07,997

6,33,18,586

6,48,65,888

6,72,08,614

6,96,35,446

7,40,10,269

8,09,03,315

8,56,34,289

 

 

Note:

*AOP & BOI category has been merged in one category i.e. “Other AOP/BOI”, accordingly data of return for AOP & BOI has been clubbed.

*PAN Category- ‘Government’ has been changed to PAN Category –‘Others’

 

Abbreviation:

AOP: Association of Person

BOI: Body of Individual

HUF: Hindu Undivided Family

AJP: Artificial Juridical Person

 

1.9 Number of Taxpayers*

S R

PAN Category

AY 2013-14

AY 2014-15

AY 2015-16

AY 2016-17

AY 2017-18

AY 2018-19

AY 2019-20

AY 2020-21

AY 2021-22

AY 2022-23

AY 2023-24

AY 2024-25

1

INDIVIDUAL

4,95,76,555

5,38,05,146

5,79,70,144

6,55,55,912

7,04,45,510

8,04,45,511

8,55,61,788

7,79,90,888

8,25,04,957

8,90,89,795

9,91,75,656

11,61,36,768

2

HUF

 9,60,004

9,99,401

10,55,205

11,19,899

11,35,677

11,87,180

12,20,604

12,17,892

12,70,730

12,89,935

13,32,135

13,76,723

3

FIRM

10,35,688

10,83,515

11,56,136

12,50,519

13,12,488

14,25,375

14,83,319

15,00,260

15,59,327

16,31,592

17,22,629

18,06,205

4

COMPANY

7,02,828

7,46,800

7,68,206

8,10,617

8,37,597

8,86,889

9,28,333

9,61,144

10,14,535

10,77,312

11,36,751

11,97,412

5

AOP(TRUST)

2,05,758

2,17,092

2,31,781

2,53,070

2,61,531

2,84,578

3,03,708

2,93,355

3,01,893

3,05,023

3,23,899

3,40,401

6

OTHER AOP/BOI

1,47,353

1,66,626

1,87,754

2,14,375

2,34,845

2,67,107

3,02,888

2,94,085

3,33,547

3,55,022

3,92,413

4,37,646

7

LOCAL AUTHORITY

5,916

7,118

7,533

8,358

9,096

10,185

11,241

10,787

11,534

12,188

13,043

13,580

8

AJP

10,211

10,556

11,098

11,702

11,506

12,106

12,078

11,649

11,508

11,968

12,105

12,791

9

OTHERS

183

334

485

747

1,308

2,556

3,461

3,347

3,895

4,034

5,216

5,983

 

TOTAL

5,26,44,496

5,70,36,588

6,13,88,342

6,92,25,199

7,42,49,558

8,45,21,487

8,98,27,420

8,22,83,407

8,70,11,926

9,37,76,869

10,41,13,847

12,13,27,509

 

 

Note:

* A “Taxpayer” is a person who either has filed a return of income for the relevant Assessment Year (AY) or in whose case tax has been deducted at source in the relevant Financial Year but the taxpayer has not filed the return of income.

* AOP & BOI category has been merged in one category i.e. “Other AOP/BOI”, accordingly data for AOP & BOI has been clubbed.

* PAN Category- ‘Government’ has been changed to PAN Category –‘Others’

 

Abbreviation:

AOP: Association of Person

BOI: Body of Individual

HUF: Hindu Undivided

Family

AJP: Artificial Juridical

Person

Topics

Acts Income Tax