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The factsheet represents the ESG performance for Tata Steel Limited, Neelachal Ispat Nigam Limited (NINL), Tata Steel Nederland BV, Tata Steel UK Limited, Tata Steel (Thailand), which account for 90% of our global group turnover.
Tata Steel Limited includes its steel plants (TS Jamshedpur, TS Kalinganagar, TS Meramandali and TS Gamharia), mining locations, upstream (DRI, Iron & Coke, Ferro Alloys, Tata Steel Growth Shop) and downstream units (rolling, tube making, tinplating, wire drawing, bearing production, etc.).
Change in scope of reporting: The scope of Tata Steel Limited is changed in FY2023-24 with the merger of Tata Steel Long Products Limited (TSLP), Tata Metaliks Limited (TML), Tinplate Company of India Limited (TCIL), Tata Steel Mining Limited and S&T Mining Limited with Tata Steel Limited.

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UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
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Basic information |
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Production P |
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Tata Steel Limited@a |
MT |
13.16 |
12.19 |
18.38 |
18.97 |
20.12 |
|
Neelachal Ispat Nigam Ltd (NINL) |
MT |
- |
- |
- |
0.20 |
0.66 |
|
Tata Steel UK Limited |
MT |
3.38 |
3.27 |
3.40 |
2.93 |
2.99 |
|
Tata Steel Nederland BV |
MT |
6.62 |
6.07 |
6.45 |
6.16 |
4.81 |
|
Tata Steel (Thailand) PCL |
MT |
0.99 |
1.09 |
1.31 |
1.13 |
1.12 |
|
p Includes crude steel for India, liquid steel for Tata Steel UK and Tata Steel Nederland, and saleable steel for South East Asia operations |
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Tata Steel Climate RiskTata Steel uses the company wide integrated Enterprise Risk Management (ERM) process for managing climate change risks. The process identifies and assesses business risks through bottom up, top down and outside in perspectives so as to ensure comprehensive risk identification and minimise blind spots. Likelihood, impact, and velocity scores are assigned for each of the risks post a due-diligence process including scenario. Appropriate early warning indicators and mitigation strategies are identified for review including by the Apex Risk Committee and Risk Management Committee (RMC) of Board. Transition Risk:
Transition Opportunities
Physical Risks
Tata Steel’s Approach to Offsetting Residual EmissionsAs part of its ambitious commitment to achieving net-zero carbon emissions across global operations by 2045, Tata Steel recognizes the importance of addressing residual emissions that may persist despite aggressive decarbonization efforts within its value chain.
Tata Steel acknowledges that certain emissions may be unavoidable in the near term. To address this, the company is evaluating credible offsetting strategies including Offsetting, e.g., purchasing carbon credits and permanent carbon removal projects that complement its internal abatement measures.
Tata Steel also carries out several afforestation programmes in compliance to the regulatory requirement in all types of sites such as mines, steel making , etc. |
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UOM |
FY 2021-22 |
FY 2022-23 |
FY 2023-24 |
FY 2024-25 |
|
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Emissions in Tata Steel Limted |
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|
CO2 emissions– steel plants (worldsteel user guide V9.5, with slag credit) |
|
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|
Absolute emissions -Scope 1 for all sites |
tCO2e |
57,900,000 |
58,000,000 |
59,400,000 |
61,000,000 |
|
|
Absolute emissions - Scope 2 |
tCO2e |
4,080,000 |
4,570,000 |
4,250,000 |
4,100,000 |
|
|
Absolute emissions - Scope 2 |
tCO2e |
3,430,000 |
3,830,000 |
4,190,000 |
4,300,000 |
|
|
Absolute emissions - Scope 3 |
tCO2e |
22,000,000 |
23,000,000 |
24,000,000 |
27,000,000 |
|
|
1. Purchased Goods and Services |
tCO2e |
- |
- |
7,400,000 |
||
|
2. Capital Goods |
tCO2e |
- |
- |
1,100,000 |
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|
3. Fuel-and-energy-related-activities (not included in Scope 1 or 2) |
tCO2e |
- |
- |
4,700,000 |
||
|
4. Upstream transportation and distribution |
tCO2e |
- |
- |
1,200,000 |
||
|
5. Waste generated in operations |
tCO2e |
- |
- |
10,000 |
||
|
6. Business travel |
tCO2e |
- |
- |
10,000 |
||
|
7. Employee commuting |
tCO2e |
- |
- |
30,000 |
||
|
8. Upstream leased assets 1.b |
tCO2e |
- |
- |
300,000 |
||
|
9. Downstream transportation and distribution |
tCO2e |
- |
- |
2,300,000 |
||
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10. Processing of sold products |
tCO2e |
- |
- |
300,000 |
||
|
11. Use of sold products 1.c |
tCO2e |
- |
- |
6,400,000 |
||
|
12. End of life treatment of sold products |
tCO2e |
- |
- |
1,400,000 |
||
|
13. Downstream leased assets |
tCO2e |
- |
- |
2,000 |
||
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14. Franchises |
tCO2e |
- |
- |
200,000 |
||
|
15. Investments |
tCO2e |
- |
- |
800,000 |
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16. Other upstream |
tCO2e |
- |
- |
10,000 |
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17. Other downstream |
tCO2e |
- |
- |
10,000 |
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Note : FY2022-23 emissions revised based on FY2023-24 boundary to present comparable information. For information, four key subsidiaries were merged with parent company - Tata Steel Limited during the reporting year (FY2023-24). 1.bAccounting practices changed for FY2023-24, following 3rd party audit as some 3rd party assets were considered own asset till FY23 (e.g., ASU 1290TPD in TSJ). |
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To view Assurance statement of GHG inventory of Tata Steel Limited - click here

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Waste |
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Tata Steel Limited |
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|
UOM |
FY 2021-22 |
FY 2022-23 |
FY 2023-24 |
FY 2024-25 |
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A) Mineral waste generated – Waste rock |
Million metric tons |
31.78 |
33.71 |
46.81 |
41.65 |
|
B) Mineral waste generated – Tailings |
Million metric tons |
1.92 |
2.12 |
2.37 |
2.64 |
|
C) Mineral waste repurposed/reused |
Million metric tons |
1.04 |
1.05 |
1.21 |
1.16 |
|
Total mineral waste disposed |
Million metric tons |
32.66 |
34.78 |
47.97 |
43.13 |
|
Target set for Mineral waste disposed |
42.8 |
42.8 |
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At Tata Steel, energy efficiency and reduction is a cornerstone of our sustainability strategy. External audits play a vital role in supporting Tata Steel’s energy efficiency efforts. Conducted by the Bureau of Energy Efficiency (BEE) specifically for the Perform, Achieve, and Trade (PAT) scheme, these assessments provide independent oversight, identify new opportunities, and set the Company’s targets. These are translated into actionable plans with measurable savings, strengthening alignment with the National Mission for Enhanced Energy Efficiency under the Ministry of Power. The plans include coke oven gas (COG) injection in blast furnaces to increase hot blast temperatures and reduce fuel consumption, and the expansion of waste heat recovery systems. We highlight several energy saving projects and ideas coming in through different Shikhar Impact Centres.
Equally important is fostering a culture of awareness. We provide targeted programmes and campaigns that train employees to reduce energy use in daily operations while also preparing them to become certified energy managers and auditors through the School of Excellence (SoE). Every steel plant has a dedicated certified energy manager or auditors.
In addition, the Tata Steel Group hosts global connects throughout the year to exchange best practices, review energy efficiency initiatives, and track Key Performance Indicators (KPIs) (Energy PIT).
By combining audits, quantified savings targets, and employee training, Tata Steel ensures continuous improvement in energy management and reinforces our commitment to responsible growth.

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Water |
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UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
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Specific Water Consumption & Discharge Intensity |
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Tata Steel Limited@a |
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Fresh water consumption 4.a |
Million m3 |
40.8 |
32.9 |
49.9 |
49.8 |
50.9 |
|
Specific fresh water consumption |
m3/tcs |
3.10 |
2.70 |
2.71 |
2.62 |
2.53# |
|
Effluent discharge volume |
Million m3 |
9.5 |
8.3 |
9.5 |
8.1 |
6.5# |
|
Effluent discharge intensity |
m3/tcs |
0.72 |
0.68 |
0.52 |
0.43 |
0.32# |
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4.a Numbers reported for FY2023-24 are based on Financial Year; Previous year numbers were based on Calendar Year. |
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@ Includes all Steelmaking sites ; |
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Waste |
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Tata Steel Limited@a |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
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Solid waste generated |
Thousand tonnes |
9,967 |
9,427 |
15,041 |
15,123 |
15,611 |
|
Solid waste utilised |
Thousand tonnes |
9,967 |
9,417 |
14,057 |
15,559 |
17,955 |
|
Solid waste sent to landfill / incineration |
Thousand tonnes |
- |
5 |
12 |
15 |
15.8 |
|
Solid waste utilisation |
% |
100 |
100 |
98 |
102.9 |
115 |
|
Tata Steel Limited |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
|
|
A) Mineral waste generated – Waste rock |
Million metric tons |
27.85 |
28.92 |
31.78 |
33.71 |
46.81 |
|
B) Mineral waste generated – Tailings |
Million metric tons |
2.86 |
2.46 |
1.92 |
2.12 |
2.37 |
|
C) Mineral waste repurposed/reused |
Million metric tons |
1.14 |
1.15 |
1.04 |
1.05 |
1.21 |
|
Total mineral waste disposed |
Million metric tons |
29.58 |
30.23 |
32.66 |
34.78 |
47.97 |
|
Target set for Mineral waste disposed |
Million metric tons |
42.8 |
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@ Includes all Steelmaking sites ; |
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Energy Intensity |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
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Tata Steel Limited @a |
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Energy consumption |
GJ |
44,43,89,343 |
493997681# |
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Energy Intensity |
GJ/tcs |
24.17 |
24.11 |
23.62 |
23.43 |
24.55# |
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Renewable Energy |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
|
|
Tata Steel Limited |
GJ |
22,482 |
51395# |
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@ Includes all Steelmaking sites ; |
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Biodiversity |
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Tata Steel Limited |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
|
|
Total sites covered under Biodiversity Management Plans (BMPs) |
Nos. |
9 |
11 |
13 |
14 |
17 |
|
Total area covered under Biodiversity Management Plans (BMPs) |
Hectares |
9,648 |
11,622 |
11,725 |
11,782 |
12,221 |
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@ Includes all Steelmaking sites ; |
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Management |
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Tata Steel Limited |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
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|
Workforce (permanent+contract) working in EMS (ISO 14001) certified steel production facilities |
% |
100 |
100 |
100 |
100 |
100 |
|
@ Includes all Steelmaking sites ; |
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Scrap recycling |
|
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|
Tata Steel Limited |
|
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
|
|
Steel scrap recycled (internal & external) |
Thousand tonnes |
- |
1,181 |
1,330 |
1,538 |
1,630 |
|
Steel scrap recycled (internal & external) |
% |
- |
5 |
7 |
8 |
8 |
|
@ Includes all Steelmaking sites ; |
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Spend on Climate Change and Environment |
|
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|
Tata Steel Limited |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
|
|
Spend on Climate Change and |
₹ crore |
283 |
33 |
554 |
1437 |
1568 |
|
@ Includes all Steelmaking sites ; |
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Safety |
|
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|
UOM |
FY 2021-22 |
FY 2022-23 |
FY 2023-24 |
FY 2024-25 |
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Tata Steel Limited |
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Total Recordable Injury Frequency Rate (TRIFR) - employee |
Injuries per million hours worked |
2.31 |
2.08 |
2.02 |
1.93 |
|
Total Recordable Injury Frequency Rate (TRIFR) - contractor |
Injuries per million hours worked |
2.24 |
1.73 |
1.49 |
1.55 |

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Human Resource Management |
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|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
FY25 |
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Tata Steel Limited |
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|
Nos. of employees |
Nos. |
32,364 |
31,189 |
35,927 |
36,151 |
43,263 |
43,089 |
|
New employee hires |
Nos. |
1,820 |
2,129 |
1,704 |
4,855 |
3,821 |
1,715 |
|
Employee productivity (steel volume) |
tcs/employee/ year |
803 |
745 |
854 |
885 |
900 |
925 |
|
Female employees in workforce |
% |
6.9 |
7.4 |
6.9 |
7.6 |
8 |
8.9 |
|
Female employees in management |
% |
12 |
12.6 |
11.7 |
11.5 |
10.4 |
11.3 |
|
Age break-up of the workforce (<30 years) |
% |
15.5 |
18 |
23 |
19.4 |
19.5 |
19.5 |
|
Age break-up of the workforce (30 - 50 years) |
% |
55.3 |
57 |
59 |
56.1 |
57 |
58.8 |
|
Age break-up of the workforce (>50 years) |
% |
29.2 |
25 |
17 |
24.5 |
23.5 |
21.7 |
|
Employee turnover rate (Including Superannuation) |
% |
6.8 |
7.5 |
6.9 |
8.2 |
6 |
7.1 |
|
Employee turnover rate (Excluding superannuation) |
% |
|
1.2 |
2 |
2.7 |
2.8 |
2.7 |
|
Workforce covered through formal trade unions 10 |
% |
87.4 |
86.1 |
79.6 |
91 |
91 |
88 |
|
Diversity Mix ( % of employees who belong to categories of - Affirmative Action/Women/PWD/LGBT+) |
% |
19 |
20 |
18 |
19 |
18.9 |
20.1 |
|
Investment in employee training and development |
INR Crore |
133 |
152 |
159 |
193.3 |
240 |
205 |
|
Employee training |
Thousand person-days |
253 |
199 |
413 |
468 |
590 |
657 |
|
Employee training |
person-days/ employee/year |
7.8 |
6.4 |
11.5 |
12.9 |
13.4 |
15.2 |
|
Share of Women in management positions in Workforce |
% |
12 |
12.6 |
11.7 |
11.5 |
10.4 |
11.3 |
|
Share of women in junior management positions, i.e. first level of management (as % of total junior management positions) |
% |
13.9 |
15 |
13.7 |
13.15 |
12.2 |
14.58 |
|
Share of women in top management positions in workforce |
% |
7 |
7.4 |
7.1 |
7.3 |
8.1 |
7.7 |
|
Share of women in management positions in revenue-generating functions in workforce |
% |
15.7 |
17.5 |
15 |
14.2 |
20 |
17.25 |
|
Share of women in STEM-related positions in workforce |
% |
4.6 |
6 |
5.7 |
6.1 |
8 |
9 |
|
Diversity Mix (% of employees who belong to categories of - Affirmative Action/Women/ % PWD/LGBTQ+) |
% |
19 |
20 |
18 |
18.95 |
18.9 |
20.1 |
|
Affirmative Action (AA) Community |
% |
- |
- |
11.9 |
11.8 |
11.6 |
11.75 |
|
Affirmative Action (AA) Community Representation |
% |
3.9 |
3.6 |
4.4 |
4.42 |
4.7 |
5.18 |
|
Share of People with disability in workforce |
% |
- |
0.3 |
0.3 |
0.3 |
0.3 |
0.32 |
|
Share of LGBTQI+ people in workforce |
% |
- |
- |
0.003 |
0.2 |
0.2 |
0.21 |
|
Investment in employee training and development |
₹ crore |
133 |
152 |
159 |
193 |
240.4 |
205 |
|
Average investment in employee training & development |
INR |
41095 |
48735 |
44256 |
53387 |
55574 |
47576 |
|
Employee training |
Thousand person days |
253 |
199 |
413 |
468 |
590 |
657 |
|
Person-days/employee/year |
7.81 |
6.38 |
11.51 |
12.93 |
13.4 |
15.2 |
|
|
Average Hours per FTE |
70.29 |
57.42 |
103.59 |
116.44 |
122.4 |
136.8 |
|
|
Average Hours per FTE - Officers |
- |
- |
- |
94.26 |
101.7 |
101.7 |
|
|
Average Hours per FTE - Non-Officers |
- |
- |
- |
124.11 |
128.9 |
128.9 |
|
|
Technical/ Functional Training |
Average Hours per FTE |
115 |
119.7 |
120.13 |
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|
Managerial training |
Average Hours per FTE |
1.44 |
2.7 |
4.6 |
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|
Employee Training - Gender |
Male (Thousand person days) |
|
|
|
|
601 |
601 |
|
Female (Thousand person days) |
|
|
|
|
74.4 |
74.4 |
|
|
Transgender (Thousand person days) |
|
|
|
|
1.8 |
1.26 |
|
|
Employee Training - Age Group |
< 30 years (Thousand person days) |
|
|
|
|
236.1 |
236.1 |
|
30 to 50 years (Thousand person days) |
|
|
|
|
374.4 |
374.4 |
|
|
> 50 years (Thousand person days) |
|
|
|
|
66.8 |
66.8 |
|
|
New employee hires – working level |
Officers (Nos) |
812 |
575 |
710 |
964 |
900 |
763 |
|
Non Officers (Nos) |
1,008 |
1,554 |
994 |
3,891 |
2921 |
952 |
|
|
Total Hires (Nos) |
1,820 |
2,129 |
1,704 |
4,855 |
3821 |
1,715 |
|
|
New employee hires – Gender |
Female Hires (Nos) |
276 |
322 |
395 |
885 |
892 |
440 |
|
Transgender Hires (Nos) |
- |
- |
- |
134 |
15 |
9 |
|
|
Male Hires (Nos) |
1,544 |
1,807 |
1,308 |
3,836 |
2,914 |
1,266 |
|
|
New employee hires – Age Group |
< 30 years (Nos) |
|
|
|
|
3,260 |
1,364 |
|
30 to 50 years (Nos) |
|
|
|
|
555 |
312 |
|
|
> 50 years (Nos) |
|
|
|
|
6 |
39 |
|
|
Open positions filled by internal candidates |
% |
73 |
67 |
78 |
66 |
58 |
87 |
|
Average hiring cost/FTE |
INR |
86,626 |
99,273 |
67,338 |
90,401 |
90,296 |
90,296 |
|
Voluntary Employer Turnover Rate (Resignations) |
% |
1.1 |
2 |
2.7 |
2.8 |
2.7 |
|
|
Employee Turnover Rate (Resignations) – Gender |
Male (%) |
- |
- |
1.6 |
2.5 |
2.6 |
2.5 |
|
Female(%) |
- |
- |
5.8 |
5.9 |
5.2 |
5.3 |
|
|
Employee Turnover Rate (Resignations) - Working Level |
Officers (%) |
- |
- |
6.6 |
6.7 |
6.3 |
6 |
|
Non Officers (%) |
- |
- |
0.3 |
0.8 |
1 |
1.3 |
|
|
Employee Turnover Rate (Resignations) - Age Group |
50+ Years (%) |
- |
|
0.2 |
0.3 |
0.4 |
0.42% |
|
40-50 Years (%) |
- |
|
0.5 |
0.6 |
1.2 |
1.03% |
|
|
30-40 Years (%) |
- |
|
2.3 |
3.4 |
3.5 |
3.73% |
|
|
20-30 Years (%) |
- |
|
4 |
6.1 |
5.8 |
6.68% |
|
|
<20 Years (%) |
- |
|
0 |
0 |
1.2 |
0 |
|
|
Employee Turnover Rate (Resignations) - |
% |
|
|
1.9 |
1.4 |
1.6 |
1.4 |
|
Engagement Survey Score |
% |
|
|
72 |
72 |
72 |
72 |
|
Data coverage of engagement Survey Score |
% of employees who responded to the survey |
|
|
81 |
84 |
86 |
86 |
|
Engagement Survey Score - Officers |
(%) |
65 |
NA |
69 |
72 |
72 |
72 |
|
Engagement Survey Score - Non-Officers *** |
(%) |
83 |
NA |
NA |
- |
74 |
74 |
|
Engagement Survey for Officers – Gender |
Male (%) |
66 |
NA |
70 |
73 |
73 |
73 |
|
Female(%) |
61 |
NA |
60 |
63 |
59 |
59 |
|
|
Engagement Survey for Officers – Age Group |
60+ Years (%) |
86 |
NA |
- |
100 |
75 |
75 |
|
51-55 Years (%) |
80 |
NA |
86 |
83 |
84 |
84 |
|
|
56-59 Years (%) |
85 |
NA |
86 |
85 |
84 |
84 |
|
|
46-50 Years (%) |
75 |
NA |
81 |
83 |
80 |
80 |
|
|
41-45 Years (%) |
70 |
NA |
78 |
80 |
80 |
80 |
|
|
36-40 Years (%) |
66 |
NA |
68 |
69 |
69 |
69 |
|
|
31-35 Years (%) |
55 |
NA |
61 |
67 |
66 |
66 |
|
|
26-30 Years (%) |
49 |
NA |
51 |
57 |
58 |
58 |
|
|
18-25 Years (%) |
53 |
NA |
51 |
63 |
66 |
66 |
|
|
Engagement Survey for Non-Officers – Gender |
Male (%) |
85 |
- |
- |
- |
75 |
75 |
|
Female(%) |
86 |
- |
- |
- |
72 |
72 |
|
|
Engagement Survey for Non-Officers – Age Group |
60+ Years (%) |
91 |
- |
- |
- |
N/A |
N/A |
|
51-55 Years (%) |
91 |
- |
- |
- |
85 |
85 |
|
|
56-59 Years (%) |
91 |
- |
- |
- |
84 |
84 |
|
|
46-50 Years (%) |
89 |
- |
- |
- |
81 |
81 |
|
|
41-45 Years (%) |
85 |
- |
- |
- |
76 |
76 |
|
|
Mean gender pay gap |
Officers |
- |
- |
- |
- |
- |
8% |
|
Median gender pay gap |
- |
- |
- |
- |
- |
5% |
|
|
Mean bonus pay gap |
- |
- |
- |
- |
- |
23% |
|
|
Median bonus pay gap |
- |
- |
- |
- |
- |
26% |
|
|
Local EmployeesL share in the workforce |
% |
|
|
|
62 |
65 |
66 |
|
Local employees in non-managerial positions |
% |
|
|
|
68 |
7 |
72 |
|
Local employees in in all management positions, including junior, middle and senior management |
% |
|
|
|
49 |
55 |
55 |
|
Local employees in senior management |
% |
|
|
|
31 |
41 |
37 |
|
Executive level (base salary only) - Women |
In rupess INR |
|
|
|
|
|
9,493,000 |
|
Executive level (base salary only) - Men |
In rupess INR |
|
|
|
|
|
8,840,000 |
|
Executive level (base salary + other cash incentives) - Women |
In rupess INR |
|
|
|
|
|
14,533,000 |
|
Executive level (base salary + other cash incentives) - Men |
In rupess INR |
|
|
|
|
|
13,798,000 |
|
Management level (base salary only) - Women |
In rupess INR |
|
|
|
|
|
1,757,000 |
|
Management level (base salary only) - men |
In rupess INR |
|
|
|
|
|
1,844,000 |
|
Management level (base salary + other cash incentives) - Women |
In rupess INR |
|
|
|
|
|
2,045,000 |
|
Management level (base salary + other cash incentives) - men |
In rupess INR |
|
|
|
|
|
2,190,000 |
|
Non-management level - Women Salary |
In rupess INR |
|
|
|
|
|
886,000 |
|
Non-management level - Men Salary |
In rupess INR |
|
|
|
|
|
1,110,000 |
|
L Local Employee refers to Odisha and Jharkhand Domicile Employees where we have our mines and steel manufacturing facilities |
|||||||
|
10As a % of non-managerial workforce only |
|||||||
|
Long Term Incentive are paid out based on company performance towards achieving long term directional goals of company. As middle and lower management employees do not have as big a role in changing the strategic direction of company, they will have a higher impact on achievement of short term goals of company, rather than the long term strategic goals. Hence, it would be unfair to have part of their salary at risk (variable pay) linked to long term incentives, when they may not have much control on the result. Hence, Long Term Incentives are limited to Senior Management. Long Term Incentive Performance measurement matrix – The company specific performance to be measured based on the KPIs identified under the Sustainable-Profitable-Growth (SPG) matrix. The achievement of KPIs averaged over the performance period would be used as the overall achievement against target. Company Performance based multiplier (% to be considered) – Based on the company performance measurement Individual performance based multiplier Individual Performance Multiplier – Based on the cumulative performance rating of the individual
|
|||||||
|
Race, ethnicity, nationality and country of origin is nearly uniform in Tata Steel Limited as our locations based out of India. Hence, our employees are nearly of the same Race, ethnicity, nationality and country of origin. We do report based on cultural background such as Affirmative Action (AA) community related disclosures. AA community includes scheduled castes (Socially disadvantaged community) and scheduled tribe (indigenous peoples). Some data breakups like Age group, Gender, Management level (e.g. junior/low level, middle, senior/top level management), race, ethnicity, nationality, country of origin, cultural background, etc. may not add up to 100% as they have been rounded off for better comprehension. |
|||||||

|
Board |
|
|||||
|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
|
|
Board of Directors |
Nos. |
10 |
10 |
11 |
10 |
10 |
|
Female Directors on the Board |
Nos. |
1 |
1 |
2 |
2 |
2 |
|
Independent Directors on Board |
Nos. |
5 |
5 |
6 |
5 |
5 |
|
Board Meeting Attendance |
% |
- |
- |
- |
94.91 |
100 |
|
Board Average Tenure |
Nos. |
- |
- |
- |
5.6 |
5.7 |
|
Governance |
|
||||||
|
Ethics |
|
||||||
|
UOM |
FY20 |
FY21 |
FY22 |
FY23 |
FY24 |
||
|
Tata Steel Limited |
|||||||
|
Category A- Whistle Blower Concerns |
|||||||
|
Whistleblower cases13- Received |
Nos. |
881 |
777 |
845 |
303 |
364 |
|
|
Whistleblower cases13 - Closed |
Nos. |
602 |
541 |
601 |
158 |
236 |
|
|
Whistleblower cases13 - Open |
Nos. |
279 |
236 |
244 |
145 |
128 |
|
|
Category B- Grievances & others |
|||||||
|
Grievances & Others cases13- Received |
Nos. |
- |
- |
- |
875 |
1,132 |
|
|
Grievances & Others13 - Closed |
Nos. |
- |
- |
- |
717 |
1,015 |
|
|
Grievances & Others13 - Open |
Nos. |
- |
- |
- |
158 |
117 |
|
|
Sexual harassment cases - Received |
Nos. |
34 |
21 |
22 |
31 |
21 |
|
|
Sexual harassment cases - Closed |
Nos. |
36 |
15 |
18 |
24 |
16 |
|
|
Sexual harassment cases - Open |
Nos. |
8 |
6 |
4 |
7 |
5 |
|
|
Training on Tata Code of Conduct - officers |
person-hours |
17,064 |
26,458 |
31,142 |
20,472 |
28,394 |
|
|
Training on Tata Code of Conduct - frontline employees |
person-hours |
2,763 |
5,086 |
14,630 |
17,656 |
21,473 |
|
|
Training on Tata Code of Conduct - contract employees |
person-hours |
24,307 |
15,380 |
60,898 |
1,02,735 |
2,02,096 |
|
|
Business associates14 trained on Tata Code of Conduct |
Nos. |
- |
1,747 |
2,114 |
2,050 |
1,358 |
|
|
Note: Tata Steel Limited has changed its categorization of concerns into two parts - Whistle Blower Concerns and Grievances & Others. There are no frontline employees at NINL |
|||||||
|
@ Includes all Steelmaking sites ; |
|||||||

|
Supply Chain |
|||||||
|
UOM |
FY 2019-20 |
FY 2020-21 |
FY 2021-22 |
FY 2022-23 |
FY 2023-24 |
FY 2024-25 |
|
|
Tata Steel Limited |
|
|
|
||||
|
Active supplier base |
Nos. |
5,132 |
5,071 |
6,264 |
7,049 |
8,898 |
8,026 |
|
Local suppliers |
Nos. |
1,806 |
1,671 |
1,944 |
2,138 |
2,484 |
2,831 |
|
Critical suppliers |
Nos. |
- |
- |
477 |
466 |
665 |
777 |
|
Business volume of local suppliers |
INR Crore |
- |
2,397 |
4,587 |
7,290 |
9,324 |
8,754 |
|
Number of Affirmative Action (AA) suppliers |
Nos. |
70 |
71 |
71 |
75 |
85 |
83 |
|
Business volume of Affirmative Action (AA) |
INR Crore |
61 |
66 |
69 |
112 |
151 |
230 |
|
Suppliers assessed based on safety |
Nos. |
850 |
745 |
1,022 |
1,423 |
1,923 |
2,538 |
|
Suppliers trained through Vendor |
Nos. |
1,330 |
844 |
450 |
307 |
1,341 |
1,800 |
|
Critical suppliers made aware |
Nos. |
- |
223 |
327 |
235 |
227 |
327 |
|
No. of supply chain partners assessed |
Nos. |
- |
203 |
257 |
211 |
216 |
218 |
|
No. of supply chain partners re-assessed |
Nos. |
- |
0 |
0 |
91 |
130 |
10 |
|
% spend coverage of suppliers on |
% |
- |
NA |
32 |
68 |
74 |
80 |
|
Steel Processing Centers (SPC) assessed on |
Nos. |
31 |
18 |
- |
5 |
||
|
Distributors assessed on |
Nos. |
106 |
16 |
- |
37 |
||
|
15.a Steel Processing Centers assessed on Responsible Supply Chain Policy was completed in FY 2022-23 and restarted in Fy 2024-25, so for FY 2023-24 is 0 |
|||||||

|
Responsible Steel Certification - Steel production unit |
|||||||
|
UOM |
FY 2019-20 |
FY 2020-21 |
FY 2021-22 |
FY 2022-23 |
FY 2023-24 |
FY 2024-25 |
|
|
Tata Steel Limited @a |
|
|
|
|
|
|
|
|
No . of sites Certified under Responsible Steel |
No . Of Sites |
- |
- |
- |
1 |
3 |
3 |
|
Policy Influence |
|||||||
|
Tata Steel Limited |
|
||||||
|
UOM |
FY 2019-20 |
FY 2020-21 |
FY 2021-22 |
FY 2022-23 |
FY 2023-24 |
FY 2024-25 |
|
|
Contribution to Industry/Trade associations or tax-exempt groups (e.g. think tanks, chambers of commerce) * |
INR |
24,493,424 |
20,387,024 |
49,994,820 |
86,681,250 |
93,433,435 |
85,488,958 |
|
1. Increase per capita consumption of steel through advocacy and collaboration |
INR |
15,590,000 |
15,520,000 |
14,387,000 |
21,684,000 |
18,818,750 |
15,991,500 |
|
2. Addressal of issues, concerns and challenges common of the Indian steel industry with government and other stakeholders within all applicable laws and regulations to improve the ease & cost of doing business. |
INR |
7,805,000 |
8,631,000 |
11,800,000 |
10,000,000 |
10,000,000 |
|
|
3. Leadership on all major strategic issues impacting the steel industry, particularly focusing on economic, steel demand, environmental and social sustainability |
INR |
19,645,000 |
33,084,900 |
44,128,192 |
35,376,262 |
||
|
4. Building sustainable steel industry worldwide and fulfill the Indian government’s nationally declared targets |
INR |
2,817,024 |
2,952,220 |
4,927,800 |
4,974,000 |
5,035,200 |
|
|
5. Aligning strategies and operation with SDGs (sustainable developmental goals) & universal principles on numerous societal importance. (UNGC,ETC,CWEIC) |
INR |
357,924 |
1,553,800 |
1,590,250 |
11,251,200 |
13,955,836 |
|
|
Tata Steel engages with governments and industry bodies to advocate for climate policies that support energy transition and emissions reduction, aligned with our Net Zero 2045 goal. |
|||||||
