S1-6 OMV Employees
Metrics Definitions and Methodology
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
December 31, 2024. Incoming expats and leased personnel are not included in the head count.
Employees broken down by gender is calculated based on the total number of employees and split by gender. Total number of employees is calculated as the sum of head count as described in internal regulations and refers to employees, temporary absentees, outgoing expats, and apprentices as atHead count |
|
|
|
|
|
|
|
|
|
|
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Female |
Male |
Other |
Not reported |
Total head count (31.12.2024) |
Thereof local nationality2 |
% |
Total head count (31.12.2023) |
Thereof local nationality2 |
% |
||||
Austria |
|
|
|
|
|
|
|
|
|
|
||||
Austria |
1,599 |
3,808 |
– |
– |
5,407 |
3,991 |
73.81 |
5,242 |
3,911 |
74.61 |
||||
Rest of Europe |
|
|
|
|
|
|
|
|
|
|
||||
Belgium |
238 |
1,027 |
– |
– |
1,265 |
1,176 |
92.96 |
1,331 |
1,242 |
93.31 |
||||
Bulgaria |
73 |
129 |
– |
– |
202 |
201 |
99.50 |
65 |
65 |
100.00 |
||||
Croatia |
– |
1 |
– |
– |
1 |
1 |
100.00 |
1 |
1 |
100.00 |
||||
Czech Republic |
21 |
25 |
– |
– |
46 |
43 |
93.48 |
43 |
40 |
93.02 |
||||
Denmark |
– |
1 |
– |
– |
1 |
1 |
100.00 |
1 |
1 |
100.00 |
||||
Finland |
223 |
720 |
– |
– |
943 |
910 |
96.50 |
953 |
923 |
96.85 |
||||
France |
5 |
13 |
– |
– |
18 |
15 |
83.33 |
20 |
17 |
85.00 |
||||
Germany |
118 |
792 |
– |
– |
910 |
792 |
87.03 |
883 |
778 |
88.11 |
||||
Hungary |
34 |
59 |
– |
– |
93 |
93 |
100.00 |
93 |
93 |
100.00 |
||||
Italy |
19 |
180 |
– |
– |
199 |
163 |
81.91 |
193 |
163 |
84.46 |
||||
Moldova |
23 |
21 |
– |
– |
44 |
41 |
93.18 |
47 |
44 |
93.62 |
||||
Netherlands |
10 |
107 |
– |
– |
117 |
108 |
92.31 |
113 |
105 |
92.92 |
||||
Norway |
40 |
47 |
– |
– |
87 |
69 |
79.31 |
83 |
67 |
80.72 |
||||
Poland |
2 |
5 |
– |
– |
7 |
7 |
100.00 |
7 |
7 |
100.00 |
||||
Romania |
2,855 |
8,488 |
– |
– |
11,343 |
11,280 |
99.44 |
8,448 |
8,394 |
99.36 |
||||
Russia |
1 |
2 |
– |
– |
3 |
3 |
100.00 |
15 |
15 |
100.00 |
||||
Serbia |
25 |
22 |
– |
– |
47 |
47 |
100.00 |
46 |
46 |
100.00 |
||||
Slovakia |
140 |
46 |
– |
– |
186 |
164 |
88.17 |
169 |
146 |
86.39 |
||||
Slovenia |
– |
1 |
– |
– |
1 |
1 |
100.00 |
– |
– |
0.00 |
||||
Spain |
2 |
9 |
– |
– |
11 |
8 |
72.73 |
9 |
7 |
77.78 |
||||
Sweden |
246 |
740 |
– |
– |
986 |
957 |
97.06 |
1,002 |
973 |
97.11 |
||||
Switzerland |
5 |
60 |
– |
– |
65 |
2 |
3.08 |
66 |
2 |
3.03 |
||||
Turkey |
24 |
32 |
– |
– |
56 |
56 |
100.00 |
55 |
55 |
100.00 |
||||
United Kingdom |
20 |
72 |
– |
– |
92 |
77 |
83.70 |
89 |
76 |
85.39 |
||||
Middle East & Africa |
|
|
|
|
|
|
|
|
|
|
||||
Iran |
– |
3 |
– |
– |
3 |
3 |
100.00 |
3 |
3 |
100.00 |
||||
Libya |
5 |
24 |
– |
– |
29 |
28 |
96.55 |
29 |
29 |
100.00 |
||||
Morocco |
– |
1 |
– |
– |
1 |
1 |
100.00 |
1 |
1 |
100.00 |
||||
South Africa |
1 |
– |
– |
– |
1 |
1 |
100.00 |
1 |
1 |
100.00 |
||||
Tunisia |
44 |
225 |
– |
– |
269 |
267 |
99.26 |
277 |
276 |
99.64 |
||||
United Arab Emirates |
23 |
69 |
– |
– |
92 |
1 |
1.09 |
26 |
– |
0.00 |
||||
Yemen |
14 |
230 |
– |
– |
244 |
243 |
99.59 |
293 |
292 |
99.66 |
||||
Rest of the world |
|
|
|
|
|
|
|
|
|
|
||||
Argentina |
– |
1 |
– |
– |
1 |
1 |
100.00 |
1 |
1 |
100.00 |
||||
Australia |
– |
– |
– |
– |
– |
– |
0.00 |
3 |
3 |
100.00 |
||||
Brazil |
50 |
98 |
– |
– |
148 |
148 |
100.00 |
127 |
127 |
100.00 |
||||
Chile |
3 |
2 |
– |
– |
5 |
4 |
80.00 |
6 |
5 |
83.33 |
||||
China |
1 |
1 |
– |
– |
2 |
2 |
100.00 |
3 |
3 |
100.00 |
||||
Colombia |
4 |
3 |
– |
– |
7 |
7 |
100.00 |
5 |
5 |
100.00 |
||||
Malaysia |
– |
– |
– |
– |
– |
– |
0.00 |
241 |
215 |
89.21 |
||||
Mexico |
1 |
3 |
– |
– |
4 |
4 |
100.00 |
3 |
3 |
100.00 |
||||
New Zealand |
65 |
173 |
– |
– |
238 |
179 |
75.21 |
249 |
192 |
77.11 |
||||
Singapore |
1 |
9 |
– |
– |
10 |
2 |
20.00 |
– |
– |
0.00 |
||||
South Korea |
19 |
87 |
– |
– |
106 |
87 |
82.08 |
102 |
84 |
82.35 |
||||
United States |
46 |
221 |
– |
– |
267 |
246 |
92.13 |
248 |
245 |
98.79 |
||||
Total |
6,000 |
17,557 |
– |
– |
23,557 |
21,430 |
90.97 |
20,592 |
18,656 |
90.60 |
||||
|
Metrics Definitions and Methodologies
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
December 31, 2024. Incoming expats and leased personnel are not included in the head count. Local nationality refers to employees whose nationality matches the country in which they are employed.
Employees broken down by regions and countries and local nationalities is calculated based on the total number of employees and gender, countries, regions, and local nationalities split. Total number of employees is calculated as the sum of head count as described in internal regulations and refers to employees, temporary absentees, outgoing expats, and apprentices as atHead count |
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|
|
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
December 31, 2024 |
||||||||||||
|
Austria |
Rest of Europe |
Middle East and Africa |
Rest of the world |
TOTAL |
||||||||
Contract type |
|
||||||||||||
permanent employees |
4,961 |
16,154 |
633 |
770 |
22,518 |
||||||||
thereof female |
1,467 |
3,972 |
85 |
183 |
5,707 |
||||||||
thereof male |
3,494 |
12,182 |
548 |
587 |
16,811 |
||||||||
thereof other4 |
– |
– |
– |
– |
– |
||||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||||
temporary employees2 |
446 |
569 |
6 |
18 |
1,039 |
||||||||
thereof female |
132 |
152 |
2 |
7 |
293 |
||||||||
thereof male |
314 |
417 |
4 |
11 |
746 |
||||||||
thereof other4 |
– |
– |
– |
– |
– |
||||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||||
Employment type |
|
|
|
|
|
||||||||
full-time employees3 |
4,924 |
16,186 |
612 |
769 |
22,491 |
||||||||
thereof female |
1,222 |
3,967 |
84 |
177 |
5,450 |
||||||||
thereof male |
3,702 |
12,219 |
528 |
592 |
17,041 |
||||||||
thereof other4 |
– |
– |
– |
– |
– |
||||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||||
part-time employees |
483 |
537 |
27 |
19 |
1,066 |
||||||||
thereof female |
377 |
157 |
3 |
13 |
550 |
||||||||
thereof male |
106 |
380 |
24 |
6 |
516 |
||||||||
thereof other4 |
– |
– |
– |
– |
– |
||||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||||
Employees with non-guaranteed hours |
– |
– |
– |
– |
– |
||||||||
|
Head count |
|
|
|
|
|
||||||
---|---|---|---|---|---|---|---|---|---|---|---|
|
December 31, 2023 |
||||||||||
|
Austria |
Rest of Europe |
Middle East and Africa |
Rest of the world |
TOTAL |
||||||
Contract type |
|
||||||||||
permanent employees |
4,834 |
13,394 |
630 |
969 |
19,827 |
||||||
thereof female |
1,428 |
3,695 |
81 |
263 |
5,467 |
||||||
thereof male |
3,406 |
9,699 |
549 |
706 |
14,360 |
||||||
thereof other3 |
– |
– |
– |
– |
– |
||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||
temporary employees1 |
408 |
338 |
– |
19 |
765 |
||||||
thereof female |
128 |
98 |
– |
9 |
235 |
||||||
thereof male |
280 |
240 |
– |
10 |
530 |
||||||
thereof other3 |
– |
– |
– |
– |
– |
||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||
Employment type |
|
|
|
|
|
||||||
full-time employees2 |
4,777 |
13,222 |
630 |
969 |
19,598 |
||||||
thereof female |
1,193 |
3,640 |
81 |
257 |
5,171 |
||||||
thereof male |
3,584 |
9,582 |
549 |
712 |
14,427 |
||||||
thereof other3 |
– |
– |
– |
– |
– |
||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||
part-time employees |
465 |
510 |
– |
19 |
994 |
||||||
thereof female |
363 |
153 |
– |
15 |
531 |
||||||
thereof male |
102 |
357 |
– |
4 |
463 |
||||||
thereof other3 |
– |
– |
– |
– |
– |
||||||
thereof not disclosed |
– |
– |
– |
– |
– |
||||||
Employees with non-guaranteed hours |
– |
– |
– |
– |
– |
||||||
|
Metrics Definitions and Methodologies
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
Employees broken down by gender, region, employment, and contract type is calculated based on the total number of employees in the head count at year-end as described above.
At OMV, we use the following definitions for contracts:
- Permanent contract types are employment agreements that do not have a predetermined end date.
- Temporary contract types are employment agreements with limited duration and terminated by a specific event, such as the end of a project, the return of replaced personnel, etc.
- Employees with non-guaranteed hours: not applicable for OMV. OMV only has contracts with defined working hours.
Note: The sum of all permanent and temporary employees, as well as employees with non-guaranteed hours, together will result in the total head count.
- Employment type: full-time, part-time, non-guaranteed hours.
- A full-time employee is FTE=1, and performs the defined working hours specified by the country.
- A part-time employee is FTE<1 and performs fewer than the defined working hours specified by the country.
Note: The sum of full-time and part-time employees together will result in the total head count.
Head count |
|
|
|
|
|
||||
---|---|---|---|---|---|---|---|---|---|
|
2024 |
||||||||
|
Austria |
Rest of Europe |
Middle East and Africa |
Rest of the world |
TOTAL |
||||
Total number of employees who have left2 |
276 |
1,071 |
76 |
128 |
1,551 |
||||
Turnover rate |
5.10% |
6.40% |
11.89% |
16.24% |
6.58% |
||||
Voluntary leavers |
106 |
173 |
38 |
57 |
374 |
||||
Voluntary attrition rate |
1.96% |
1.03% |
5.95% |
7.23% |
1.59% |
||||
|
|
|
|
|
|
||||
Number of employees who have left by gender |
|
|
|
|
|
||||
female |
90 |
296 |
11 |
30 |
427 |
||||
male |
186 |
775 |
65 |
98 |
1,124 |
||||
other |
– |
– |
– |
– |
– |
||||
not disclosed |
– |
– |
– |
– |
– |
||||
Number of employees who have left by age group |
|
|
|
|
|
||||
Under 30 years old |
39 |
201 |
– |
19 |
259 |
||||
Between 30 and 50 years old |
144 |
311 |
60 |
79 |
594 |
||||
Over 50 years old |
93 |
559 |
16 |
30 |
698 |
||||
Turnover rate by gender |
|
|
|
|
|
||||
female |
5.63% |
7.18% |
12.64% |
15.79% |
7.12% |
||||
male |
4.88% |
6.15% |
11.78% |
16.39% |
6.40% |
||||
other |
– |
– |
– |
– |
– |
||||
not disclosed |
– |
– |
– |
– |
– |
||||
Turnover rate by age group |
|
|
|
|
|
||||
Under 30 years old |
6.27% |
16.86% |
0% |
32.20% |
13.80% |
||||
Between 30 and 50 years old |
4.15% |
4.33% |
11.63% |
15.90% |
5.09% |
||||
Over 50 years old |
7.09% |
6.70% |
13.45% |
12.93% |
6.98% |
||||
|
Metrics Definitions and Methodologies
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
(head count) is calculated as leavers during the full year, broken down by age group, gender, and region.
Number of employees who have leftEmployee turnover rate figures contain turnover rate and voluntary attrition rate as described below:
- Turnover rate is calculated as the number of all employees (head count) who left during the respective year divided by the total head count at the end of the year.
- Voluntary attrition rate is calculated as the number of employees (head count) who left voluntarily during the respective year divided by the total head count at the end of the year.
Note: Figures above for the leavers have been presented in a gender, region, and age range split, both in absolute numbers and percentages.
|
2024 |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Austria |
Rest of Europe |
Middle East and Africa |
Rest of the world |
Total |
|||||||
|
Head count |
% |
Head count |
% |
Head count |
% |
Head count |
% |
Head count |
% |
||
Total by region |
444 |
9.69 |
3,973 |
86.75 |
20 |
0.44 |
143 |
3.12 |
4,580 |
100.00 |
||
|
|
|
|
|
|
|
|
|
|
|
||
Gender |
|
|
|
|
|
|
|
|
|
|
||
Male |
312 |
70.27 |
3,376 |
84.97 |
16 |
80.00 |
104 |
72.73 |
3,808 |
83.14 |
||
Female |
132 |
29.73 |
597 |
77.33 |
4 |
20.00 |
39 |
27.27 |
772 |
16.86 |
||
Other |
– |
|
– |
|
– |
|
– |
|
– |
|
||
Not reported |
– |
|
– |
|
– |
|
– |
|
– |
|
||
Total |
444 |
100.00 |
3,973 |
100.00 |
20 |
100.00 |
143 |
100.00 |
4,580 |
100.00 |
||
|
|
|
|
|
|
|
|
|
|
|
||
Age |
|
|
|
|
|
|
|
|
|
|
||
<30 |
145 |
32.66 |
2,433 |
61.24 |
– |
0.00 |
31 |
21.68 |
2,609 |
56.97 |
||
30–50 |
270 |
60.81 |
1,486 |
37.40 |
20 |
100 |
99 |
69.23 |
1,875 |
40.94 |
||
>50 |
29 |
6.53 |
54 |
1.36 |
– |
0.00 |
13 |
9.09 |
96 |
2.10 |
||
Total |
444 |
100.00 |
3,973 |
100.00 |
20 |
100.00 |
143 |
100.00 |
4,580 |
100.00 |
||
|
|
|
|
|
|
|
|
|
|
|
||
Level |
|
|
|
|
|
|
|
|
|
|
||
Top management1 |
3 |
0.68 |
– |
|
– |
|
– |
|
3 |
0.07 |
||
Advanced |
15 |
3.38 |
22 |
0.55 |
– |
0.00 |
1 |
0.70 |
38 |
0.83 |
||
Core |
107 |
24.10 |
182 |
4.58 |
1 |
5.00 |
20 |
13.99 |
310 |
6.77 |
||
Primary |
129 |
29.05 |
291 |
7.32 |
7 |
35.00 |
27 |
18.88 |
454 |
9.91 |
||
Entry |
172 |
38.74 |
3,265 |
82.18 |
11 |
55.00 |
78 |
54.55 |
3,526 |
76.99 |
||
Not classified |
18 |
4.05 |
213 |
5.36 |
1 |
5.00 |
17 |
11.89 |
249 |
5.44 |
||
Total |
444 |
100.00 |
3,973 |
100.00 |
20 |
100.00 |
143 |
100.00 |
4,580 |
100.00 |
||
|
|
2023 |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|
|
Austria |
Rest of Europe |
Middle East and Africa |
Rest of the world |
Total |
|||||
|
Head count |
% |
Head count |
% |
Head count |
% |
Head count |
% |
Head count |
% |
Total by region |
498 |
27.05 |
1,105 |
60.02 |
65 |
3.53 |
173 |
9.40 |
1,841 |
100.00 |
|
|
|
|
|
|
|
|
|
|
|
Gender |
|
|
|
|
|
|
|
|
|
|
Male |
321 |
64.46 |
767 |
69.41 |
58 |
89.23 |
119 |
68.79 |
1,265 |
68.71 |
Female |
177 |
35.54 |
338 |
30.59 |
7 |
10.77 |
54 |
31.21 |
576 |
31.29 |
Other |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
Not reported |
– |
– |
– |
– |
– |
– |
– |
– |
– |
– |
Total |
498 |
100.00 |
1,105 |
100.00 |
65 |
100.00 |
173 |
100.00 |
1,841 |
100.00 |
|
|
|
|
|
|
|
|
|
|
|
Age |
|
|
|
|
|
|
|
|
|
|
<30 |
145 |
29.12 |
316 |
28.60 |
3 |
4.62 |
38 |
21.97 |
502 |
27.27 |
30–50 |
315 |
63.25 |
627 |
56.74 |
58 |
89.23 |
113 |
65.32 |
1,113 |
60.46 |
>50 |
38 |
7.63 |
162 |
14.66 |
4 |
6.15 |
22 |
12.72 |
226 |
12.28 |
Total |
498 |
100.00 |
1,105 |
100.00 |
65 |
100.00 |
173 |
100.00 |
1,841 |
100.00 |
Metrics Definitions and Methodolog
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
(only head count) who started working at the OMV Group in the respective year (2024), expressed both as a total number and as a percentage of the total new hires for that year.
New hires by region: employeesNew hires broken down by gender: employees who started working at OMV in the respective year broken down by gender, expressed both as a total number and as a percentage of the total new hires for that year.
New hires broken down by age: employees who started working at OMV in the respective year broken down by age, expressed both as a total number and as a percentage of the total new hires for that year.
New hires broken down by career level: employees who started working at OMV in the respective year broken down by career level.
S1-7 Non-Employee Workers in OMV’s Own Workforce
Number1 |
|
|
||||
---|---|---|---|---|---|---|
|
||||||
Total number of non-employee workers in own workforce – self-employed workers – leased personnel2 |
182 |
191 |
||||
|
Metrics Definitions and Methodologies
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
(NACE Code N78)) (as manpower) is calculated as the total number of leased personnel at year-end. Leased personnel are defined as workforce employed through a third-party staffing company and performing regular work duties under OMV management supervision (i.e., receiving tasks from and reporting to OMV management).
Number of non-employees in own workforce (self-employed or people provided by agencies primarily engaged in “employment activities”S1-8 Collective Bargaining Coverage and Social Dialogue
92% of all our employees are covered by collective bargaining agreements. In the EEA, we have more than one collective bargaining agreement.
|
2024 |
||
---|---|---|---|
|
Collective bargaining coverage |
Social dialogue |
|
Coverage rate |
Employees – EEA only |
Employees – Non-EEA |
Workplace representation – EEA only |
0–19% |
|
Rest of Europe (0.13%); |
|
20–39% |
|
|
|
40–59% |
|
|
|
60–79% |
|
|
Romania (79.4%) |
80–100% |
Austria (100%), Romania (100%) |
Middle East & Africa (80%) |
Austria (99%) |
OMV concluded an agreement on the establishment of a European Works Council with the employee representatives in 2013 and renewed it in 2021. The European Works Council and its Steering Committee meet regularly. Management representatives including members of the Executive Board of OMV Aktiengesellschaft participate upon invitation of the European Works Council.
Metrics Definitions and Methodologies
Metrics Definitions and Methodologies
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
(head count) X 100. Employees covered by collective bargaining agreements are those individuals to whom we are obliged to apply the agreement.
Percentage of total employees covered by collective bargaining agreements: number of employees covered by collective bargaining agreements/total number of employees(in the EEA): number of employees covered by collective bargaining agreements in country (representing > 10% total employees)/total number of employees (head count) from that respective country X 100. OMV reports on whether one or more collective bargaining agreements are relevant, and the percentage of employees covered by such agreements for each country with significant employment according to the above formula.
Percentage of own employees covered by collective bargaining agreements by country with significant employmentPercentage of own employees covered by collective bargaining agreements by region (non-EEA): percentage of employees covered by collective bargaining agreements by region according to above formula.
Global percentage of employees covered by worker representation, reported at the country level for each EEA country in which the undertaking has significant employment. Employees covered by workers representation per country/total headcount per country x100.
Own workforce in regions (non-EEA) covered by collective bargaining and social dialogue agreements broken down by coverage rate and by region: Number of employees from non-EEA by region covered by collective bargaining agreement/total head count by region x 100. Employees covered by collective bargaining agreements are those individuals to whom we are obliged to apply the agreement.
S1-9 Diversity Metrics
|
December 31, 2024 |
|||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Age group |
Gender |
Total |
|||||||||||
|
Under 30 years old |
Between 30 and 50 years old |
Over 50 years old |
Female |
Male |
Other gender |
Not reported |
|
||||||
OMV Supervisory Board2 |
|
|
|
|
|
|
|
|
||||||
Number |
– |
2 |
7 |
3 |
6 |
– |
– |
9 |
||||||
% |
0.00 |
22.22 |
77.78 |
33.33 |
66.67 |
0 |
0 |
100.00 |
||||||
OMV Executive Board |
|
|
|
|
|
|
|
|
||||||
Head count |
– |
1 |
4 |
1 |
4 |
– |
– |
5 |
||||||
% |
0.00 |
20.00 |
80.00 |
20.00 |
80.00 |
0 |
0 |
100.00 |
||||||
Top Management (Executives)3 |
|
|
|
|
|
|
|
|
||||||
Head count |
– |
17 |
30 |
8 |
39 |
– |
– |
47 |
||||||
% |
0.00 |
36.17 |
63.83 |
17.02 |
82.98 |
0 |
0 |
100.00 |
||||||
Advanced |
|
|
|
|
|
|
|
|
||||||
Head count |
– |
505 |
376 |
212 |
669 |
– |
– |
881 |
||||||
% |
0.00 |
57.32 |
42.68 |
24.06 |
75.94 |
0 |
0 |
100.00 |
||||||
Core |
|
|
|
|
|
|
|
|
||||||
Head count |
19 |
2,286 |
1,140 |
1,073 |
2,372 |
– |
– |
3,445 |
||||||
% |
0.55 |
66.36 |
33.09 |
31.15 |
68.85 |
0 |
0 |
100.00 |
||||||
Primary |
|
|
|
|
|
|
|
|
||||||
Head count |
290 |
3,548 |
1,851 |
2,105 |
3,584 |
– |
– |
5,689 |
||||||
% |
5.10 |
62.37 |
32.54 |
37.00 |
63.00 |
0 |
0 |
100.00 |
||||||
Entry |
|
|
|
|
|
|
|
|
||||||
Head count |
1,441 |
4,975 |
6,349 |
2,453 |
10,312 |
– |
– |
12,765 |
||||||
% |
11.29 |
38.97 |
49.74 |
19.22 |
80.78 |
0 |
0 |
100.00 |
||||||
Not classified |
|
|
|
|
|
|
|
|
||||||
Head count |
127 |
345 |
253 |
148 |
577 |
– |
– |
725 |
||||||
% |
17.52 |
47.59 |
34.90 |
20.41 |
79.59 |
0 |
0 |
100.00 |
||||||
Diversity in general |
|
|
|
|
|
|
|
|
||||||
Head count |
1,877 |
11,677 |
10,003 |
6,000 |
17,557 |
– |
– |
23,557 |
||||||
% |
7.97 |
49.57 |
42.46 |
25.47 |
74.53 |
0 |
0 |
100.00 |
||||||
|
Metrics Definitions and Methodologies
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
Gender distribution in number and percentage in top management: top management is equivalent to career level executives, which include OMV Senior Vice Presidents, OMV Petrom and Borealis Group Board members/top management, and is then broken down by gender.
Diversity in general, broken down by age group (<30, 30–50, and >50): sum of employees per age group/total head count at year end.
disclosed) and age group (<30, 30–50, and >50): number of employees (Group)/total head count at year end.
Diversity in general, broken down by gender (female/male/other gender/not(age group)/total number in career level. Top management = career level executives, which include OMV Senior Vice Presidents, OMV Petrom and Borealis Group Board members.
Diversity in general, broken down by career level: number of employeesS1-10 Adequate Wages
All of the OMV Groups employees are paid an adequate wage, in line with applicable benchmarks.
S1-11 Social Protection
All our employees are covered by social protection against loss of income due to major life events, except the following types of employees for the specified major life events in the countries listed in this table.
|
|
New Zealand |
United Kingdom |
Yemen |
||
---|---|---|---|---|---|---|
Head count as of December 31, 2024 |
|
238 |
39 |
244 |
||
Sickness |
White collar |
● |
● |
|
||
Blue collar |
● |
|
|
|||
Executives |
● |
|
|
|||
Unemployment1 |
White collar |
● |
|
● |
||
Blue collar |
● |
|
● |
|||
Executives |
● |
|
● |
|||
Employment injury and acquired disability |
White collar |
|
● |
|
||
Blue collar |
|
|
|
|||
Executives |
|
|
|
|||
Parental leave |
White collar |
|
● |
● |
||
Blue collar |
|
|
● |
|||
Executives |
|
|
● |
|||
Retirement |
White collar |
|
● |
|
||
Blue collar |
|
|
|
|||
Executives |
|
|
|
|||
|
Metrics Definitions and Methodologies
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
All our employees are covered by social protection against loss of income due to major life events, except the mentioned types of employees for the specified major life events in the countries listed in the above table.
S1-12 Persons with Disabilities
+1% of employees with disabilities by 2030. In 2024, the OMV Group legal entities in Austria had an average of 0.9% of employees with disabilities. Furthermore, we measure how employees experience our inclusive accessible workplace via the yearly Pulse Check. In 2024, we received a 64% positive response on this.
Globally, 0.7% of the OMV Group’s employees are individuals with disabilities. The number of employees with disabilities is reported per country subject to local legal legislation. The reported numbers in 2024 form a base year, based on which countries can aim to increase these numbers. Countries without disability legislation are out of scope for employee disability reporting. With our head office based in Austria, the OMV Group legal entities in Austria aim to increase relative to the 2024 baselineMetrics Definitions and Methodology
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
Percentage of employees with disabilities at eligible OMV Group entities dependent on local legislation. This figure excludes contractors and non-employees. The metric was calculated as the number of employees with disabilities/the total number of employees X 100. The counting was done for those countries where a legislative quota regarding persons with disabilities exists, and the sum was calculated at Group level.
S1-13 Training and Skills Development Metrics
Head count |
|
|
|
|
|
||||
---|---|---|---|---|---|---|---|---|---|
|
2024 |
||||||||
|
Female |
Male |
Other gender |
Not reported |
Total |
||||
Percentage of employees that participated in regular performance and career development reviews1 |
91.53% |
86.82% |
– |
– |
88.31% |
||||
Total number of training hours for all employees2 |
158,778 |
375,064 |
– |
– |
533,842 |
||||
Average number of training hours per employee |
27 |
22 |
– |
– |
23 |
||||
Number of employees trained in health and safety standards within the last year |
4,502 |
12,949 |
– |
– |
17,451 |
||||
Average number of hours of health, safety, and emergency response training for employees |
7 |
9 |
– |
– |
8 |
||||
Average number of training hours by employee category |
|
|
|
|
|
||||
Top management (executives) |
60 |
49 |
– |
– |
51 |
||||
Advanced level |
41 |
28 |
– |
– |
31 |
||||
Core level |
33 |
26 |
– |
– |
28 |
||||
Primary level |
31 |
29 |
– |
– |
30 |
||||
Entry level |
20 |
18 |
– |
– |
18 |
||||
Not classified |
15 |
17 |
– |
– |
17 |
||||
Number of participants in training |
5,737 |
15,011 |
– |
– |
20,748 |
||||
Training expenditure (EUR) |
3,397,045 |
7,830,491 |
– |
– |
11,227,536 |
||||
|
employees) participated in performance and development reviews at least once during the year. These employees represent approximately 88.3% of all employees eligible to receive reviews in the dedicated IT platform. Excluded are office-based employees at OMV Petrom as they do not have access to the platform, and thus are not included in the calculation of this percentage.
OMV reports that there were 15,560 performance and development reviews in the reporting year, with some employees having more than one review. 14,226 employees (91.5% of eligible female employees and 86.8% of eligible maleMetrics Definitions and Methodology
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
The percentage of employees that participated in regular performance and career development reviews is calculated by dividing the total number of employees who had at least one evaluation per year by the employees eligible to receive reviews in the dedicated IT platform.
(male and female) is calculated as average training hours for female (male) employees: total number of training hours provided to female (male) employees/total number of female (male) employees (head count as of December 31).
Average number of training hours by genderTotal number of training hours for all employees is calculated as the total number of training hours provided to employees.
Number of employees trained in health and safety standards within the last year is calculated as the number of employees who received at least one HSSE training session.
(head count as of December 31).
Average number of hours of health, safety, and emergency response training for employees is calculated as total number of training hours on HSSE provided to employees/total number of employees(head count as of December 31).
Average number of training hours per employee is calculated as the total number of training hours provided to employees/total number of employees(career level)/total number of employees per employee category (career level) (head count as of December 31).
Average number of training hours by position is calculated as the total number of training hours provided to employees by employee categoryNumber of participants in training is calculated as the number of employees who received at least one training session.
(EUR) is calculated as the total amount of money spent on training (incl. variable and fixed costs).
Training expenditureS1-15 Work-Life Balance Metrics
In % |
|
|
---|---|---|
|
2024 |
|
Gender |
entitled |
took |
Female |
100.00 |
8.22 |
Male |
98.67 |
5.29 |
Other |
– |
– |
Not reported |
– |
– |
Total |
99.01 |
6.05 |
Metrics Definitions and Methodology
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
Percentage of employees entitled take to family-related leave are employees who are entitled to family-related leave in the head count and as at year-end. The metric was calculated as the total of the entitled head count at year-end/total head count at year-end.
Percentage of entitled employees who took family-related leave in the respective year > 1 month were considered in the figures and it was calculated as the total head count in the respective year/total entitled head count at year-end.
Both metrics are in Gender split
S1-16 Compensation Metrics (Pay Gap and Total Compensation)
|
Head count at December 31, 2024 / GPG 2024 |
|||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Country |
Top management |
Advanced level |
Primary level |
Core level |
Entry level |
Not classified |
Total |
|||||||||||
|
HC |
Male-female pay gap (%) |
HC |
Male-female pay gap (%) |
HC |
Male-female pay gap (%) |
HC |
Male-female pay gap (%) |
HC |
Male-female pay gap (%) |
HC |
Male-female pay gap (%) |
HC |
Male-female pay gap (%) |
||||
Austria |
40 |
13.53 |
472 |
12.48 |
1,625 |
8.93 |
1,401 |
6.96 |
1,774 |
4.97 |
62 |
24.45 |
5,374 |
9.79 |
||||
Belgium |
n.a. |
n.a. |
79 |
19.06 |
333 |
8.01 |
241 |
3.07 |
583 |
0.55 |
29 |
5.07 |
1,265 |
–2.53 |
||||
Germany |
2 |
n.a. |
30 |
19.06 |
222 |
23.38 |
152 |
3.46 |
264 |
–52.36 |
235 |
5.43 |
905 |
16.95 |
||||
Finland |
n.a. |
n.a. |
31 |
–11.55 |
224 |
–1.02 |
155 |
0.82 |
507 |
2.81 |
26 |
–7.04 |
943 |
–8.43 |
||||
Romania1 |
5 |
n.a. |
109 |
13.37 |
2,244 |
8.63 |
857 |
5.89 |
7,905 |
0.63 |
124 |
20.14 |
11,244 |
–16.84 |
||||
Sweden |
n.a. |
n.a. |
30 |
12.54 |
255 |
2.38 |
128 |
3.93 |
573 |
5.45 |
n.a. |
n.a. |
986 |
1.93 |
||||
Total all countries |
|
|
|
|
|
|
|
|
|
|
|
|
23,296 |
1.41 |
||||
|
. Gender pay gap including all employees: 1.41%. CEO-to-median employee pay ratio: 76:1 (2023: 78:1).
Metrics Definitions and Methodolog
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
(head count only) was taken into consideration. Total yearly remuneration includes the annual base salary, guaranteed allowances, variable allowances, overtime payments, one-time payments, bonuses, the LTIP, and benefits in cash paid out in the respective year. The total yearly remuneration is calculated based on working full-time and for the full year. The hourly rate is calculated by dividing the total yearly remuneration by the yearly actual working hours per employee (if no actual working hours exist, contractual hours were used instead).
Gender pay gap: the difference in average pay levels between female and male employees, expressed as a percentage of the average pay level of male employees. For this calculation, the total yearly remuneration per employee(excluding the highest-paid individual) For this calculation, the total remuneration per employee (head count only) was taken into consideration. Total yearly remuneration is calculated as mentioned above for the gender pay gap metric
Ratio of annual total remuneration of the highest-paid individual to the median annual total remuneration for all employeesGender pay gap broken down by employee category and ordinary basic salary and complementary/variable components: the breakdown is provided based on employee category and country level.
Gender pay gap broken down by employee category and/or country/segment: the breakdown is provided based on employee category and country level. The following employees are excluded from the calculation of the gender pay gap and the ratio of the annual total remuneration of the highest-paid individual to the median annual total remuneration for all employees:
Employees on unpaid leave for the full respective year
International employees hired from abroad for projects in any of the OMV countries – where they are subject to income tax and/or social security contributions. These employees have an international background, with net salary agreements to achieve consistency and transparency on the salary levels. The local income tax and social security contributions apply according to the work location and are paid by the Company.
Base salaries are market-oriented, fair, and tailored to the position and expertise of the employee. OMV encourages equal pay at all career stages, for instance by setting standardized entry-level salaries that are reviewed each year in line with the local market situation.
S1-17 Incidents, Complaints, and Severe Human Rights Impacts
0)
0 incidents related to child labor (2023:0)
0 incidents related to forced labor (2023:0 severe human rights cases where undertaking played a role in securing a remedy for those affected
0 complaints filed with National Contact Points for OECD Multinational Enterprises
0 severe human rights issues and incidents connected to own workforce
0 severe human rights issues and incidents connected to own workforce that are cases of non-respect of the UN Guiding Principles and OECD Guidelines for Multinational Enterprises
0 material fines, penalties, and compensation for damages for severe human rights issues and incidents connected to own workforce
Metrics Definitions and Methodology
(unless otherwise specified) is not validated by an external body other than the assurance provider. For all the metrics, we collect the figures from assigned subject matter experts within the Group under the assumption they fully understand and comply with the respective data request.
The measurement of all metrics belowNumber of incidents related to child labor and Number of incidents related to forced labor are based on the figures of severe human rights incidents, which include child labor and forced labor according to the official definitions respectively, and the analysis of supporting information provided to the human rights expert on request in the case of severe human rights incidents.
Number of severe human rights cases where undertaking played a role in securing a remedy for those affected is based on the figure of severe human rights incidents and the analysis of supporting information provided to the human rights expert on request in the case of severe human rights incidents.
Number of complaints filed with National Contact Points for OECD Multinational Enterprises are derived from the cases counted on the basis of information from the Head of Group Sustainability.
trafficking), scope (significant number of people being affected), and irremediability (difficult or impossible to remediate), while each one of them on their own can also make an impact severe.
Number of severe human rights issues and incidents connected to own workforce refers to the count of such incidents reported to local and Group P&C managers. We have defined the severity of human rights incidents based on categories of scale (e.g., forced labor, child labor, humanNumber of severe human rights issues and incidents connected to own workforce that are cases of non-respect of the UN Guiding Principles and OECD Guidelines for Multinational Enterprises is a count of reported severe human rights incidents and the analysis of supporting information provided to the human rights expert on request in the case of severe human rights incidents.
|
|
2024 |
2023 |
---|---|---|---|
Number of incidents of discrimination |
number |
31 |
n.a. |
Number of complaints filed through channels for own workforce to raise concerns |
number |
27 |
n.a. |
Amount of fines, penalties, and compensation for damages for severe human rights incidents connected to own workforce |
EUR mn |
0 |
n.a. |
Amount of fines, penalties, and compensation for damages as a result of incidents of discrimination, including harassment and complaints filed and a reconciliation of such monetary amounts disclosed, with the most relevant amount presented in the financial statement |
EUR mn |
0 |
n.a. |
Metrics Definitions and Methodology
Aside from the assurance provider, the measurement of the metrics is not validated by an external body.
Number of incidents of discrimination, including harassment, is calculated as the total reported cases where individuals have been discriminated against or harassed, country-by-country reporting on incidents in 2024.
Number of complaints filed through channels for own workforce to raise concerns: country-by-country reporting on incidents in 2024.
Number of fines, penalties, and compensation for damages as a result of incidents of discrimination, including harassment and complaints filed: sum of all paid fines and penalties.
Amount of material fines, penalties, and compensation for damages for severe human rights incidents connected to own workforce: sum of all paid fines.