Data Appendix

Umweltkennzahlen

Environmental indicators

Topic	Indicator	Unit	GRI- Standard	2019	2020	2021	2022	2023
Energy and emissions
	Total energy consumption	MWh	302-1	3,545,606	3,163,103	3,274,577	3,467,402	3,477,822
	Green electricity	MWh	302-1	n. a.	26,700	100,837	96,366	114,510
	Total energy consumption from non-renewable sources¹	MWh	302-1	3,545,607	3,136,403	3,173,740	3,371,036	3,363,312
	Conventional electricity	MWh	302-1	432,755	384,741	294,022	320,974	307,765
	Fuel	MWh	302-1	1,986,883	1,732,783	1,754,901	1,961,591	1,959,920
	Gas	MWh	302-1	430,143	332,625	428,683	416,171	396,746
	Heating oil	MWh	302-1	165,764	142,857	151,406	153,519	159,970
	Pulverised lignite	MWh	302-1	481,235	500,732	503,083	475,975	497,900
	District heating	MWh	302-1	48,826	42,665	41,645	42,806	41,011
	Energy intensity²	MWh/T€	302-3	n. a.	n. a.	n. a.	n. a.	0.197
	Energy costs	€ mln.		281	242	283	407	414
	Share of fuel in energy costs	%		65	61	64	67	57
	CO₂e emissions
	Carbon footprint Scope 1	t CO₂e	305-1	n. a.³	742,063	771,799	813,242	819,934
	Carbon footprint Scope 2, location-based	t CO₂e	305-2	n. a.³	171,353	165,711	175,191	183,908
	Carbon footprint Scope 2, market-based	t CO₂e	305-2	n. a.³	151,185	125,723	148,454	143,010
	CO₂e intensity⁴	t CO₂e/T€	305-4	n. a.	n. a.	n. a.	n. a.	0.055
	CO₂e emissions by energy source⁵	%	305-1	100	100	100	100	100
	Fuel	%	305-1	52	51	50	53	54
	Pulverised lignite	%	305-1	17	19	18	16	18
	Electricity	%	305-1	16	18	17	17	14
	Gas	%	305-1	9	7	9	9	9
	Heating oil	%	305-1	4	4	4	4	4
	District heating	%	305-1	1	1	1	1	1
	CO₂e emissions by country (market-based)	%	305-1	100	100	100	100	100
	Germany	%	305-1	36	37	36	33	34
	Poland	%	305-1	15	17	16	15	17
	Austria	%	305-1	8	9	8	11	9
	Czech Republic	%	305-1	8	8	10	8	7
	Other	%	305-1	33	29	30	33	33
	Asphalt mix produced in-house in Germany	kWh/t		93.0	93.0	97.6	92.6	93.6
	Asphalt mix produced in-house in Germany	kg CO₂e/t		31.8	31.0	31.2	29.8	29.6
Circularity
	Materials used
	Stone/Gravel	thousands of tonnes	301-1	70,410	69,960	64,790	59,991	56,626
	Asphalt	thousands of tonnes	301-1	13,270	12,745	12,715	12,056	11,850
	Concrete	thousands of m³	301-1	5,519	5,089	4,775	5,154	4,576
	Cement	thousands of tonnes	301-1	1,642	1,739	1,555	1,239	1,200
	Structural steel	thousands of tonnes	301-1	477	447	445	464	455
	Handled waste⁶
	Total waste	tonnes	306-3	n. a.	n. a.	n. a.	8,774,276	9,279,999
	Non-hazardous waste	tonnes	306-3	n. a.	n. a.	n. a.	8,284,035	8,840,369
	Hazardous waste	tonnes	306-3	n. a.	n. a.	n. a.	490,241	439,630
	Waste diverted from disposal⁷
	Total waste	tonnes	306-3	n. a.	n. a.	n. a.	4,844,419	3,989,724
	Non-hazardous waste	tonnes	306-3	n. a.	n. a.	n. a.	4,661,418	3,801,681
	Preparation for reuse⁸	tonnes	306-3	n. a.	n. a.	n. a.	219,525	232,208
	On site⁹	tonnes	306-3	n. a.	n. a.	n. a.	0	8,550
	Off site⁹	tonnes	306-3	n. a.	n. a.	n. a.	219,525	223,658
	Recycling¹¹	tonnes	306-3	n. a.	n. a.	n. a.	164,581	238,174
	On site	tonnes	306-3	n. a.	n. a.	n. a.	163,264	238,174
	Off site	tonnes	306-3	n. a.	n. a.	n. a.	1,317	0
	Other recovery processes¹²	tonnes	306-3	n. a.	n. a.	n. a.	4,277,312	3,331,299
	On site	tonnes	306-3	n. a.	n. a.	n. a.	2,207,887	1,329,649
	Off site	tonnes	306-3	n. a.	n. a.	n. a.	2,069,425	2,001,650
	Hazardous waste	tonnes	306-3	n. a.	n. a.	n. a.	183,001	188,043
	Preparation for reuse	tonnes	306-3	n. a.	n. a.	n. a.	0	2,855
	On site	tonnes	306-3	n. a.	n. a.	n. a.	0	0
	Off site	tonnes	306-3	n. a.	n. a.	n. a.	0	2,855
	Recycling	tonnes	306-3	n. a.	n. a.	n. a.	2,501	0
	On site	tonnes	306-3	n. a.	n. a.	n. a.	2,501	0
	Off site	tonnes	306-3	n. a.	n. a.	n. a.	0	0
	Other recovery processes	tonnes	306-3	n. a.	n. a.	n. a.	180,500	185,189
	On site	tonnes	306-3	n. a.	n. a.	n. a.	178,909	185,189
	Off site	tonnes	306-3	n. a.	n. a.	n. a.	1,591	0
	Waste forwarded for disposal¹³
	Total waste	tonnes	306-3	n. a.	n. a.	n. a.	4,662,750	4,344,627
	Non-hazardous waste	tonnes	306-3	n. a.	n. a.	n. a.	4,314,987	4,060,780
	On site	tonnes	306-3	n. a.	n. a.	n. a.	62,360	329,071
	Off site	tonnes	306-3	n. a.	n. a.	n. a.	4,252,627	3,731,709
	Hazardous waste	tonnes	306-3	n. a.	n. a.	n. a.	347,763	283,847
	On site	tonnes	306-3	n. a.	n. a.	n. a.	2,441	9,154
	Off site	tonnes	306-3	n. a.	n. a.	n. a.	345,322	274,693
	Percentage of recycled asphalt used in the production of asphalt mixture
	Germany	% (of total thousand t)	301-2	34 (3,140)	33 (3,303)	34 (3,076)	35 (3,036)	34 (3,306)
	Poland	% (of total thousand t)	301-2	7 (2,280)¹⁴	7 (2,391)¹⁴	7 (2,513)¹⁴	6 (2,268)¹⁴	7 (2,525)
	Austria	% (of total thousand t)	301-2	13 (1,248)¹⁴	14 (1,287)¹⁴	15 (1,360)¹⁴	15 (1,077)¹⁴	16 (954)
Digitalisation and innovation
	BIM 5D® workstations	Number		1,560	1,908	2,165	2,435	2,643
	Expenditure on research, development and innovation activities	€ mln.		approx. 17	approx. 17	approx. 16	approx. 16	approx. 17
	Development projects with funding	Number		n. a.	n. a.	24	25	32

1Composed of fuel, gas, heating oil and pulverised lignite.

2The 2023 financial year is the first year for which this indicator is being reported. The numerator draws on the energy consumption within the organisation. Group revenue serves as the denominator.

3Since 2020, STRABAG’s calculations have included the greenhouse gases CO₂, CH₄ and N₂O. The Energy and Emissions chapter shows STRABAG’s emissions for 2019 in tonnes of CO₂.

4The 2023 financial year is the first year for which this indicator is being reported. The numerator draws on the Scope 1 and Scope 2 emissions (market-based). Group revenue serves as the denominator.

5The numbers are based on the location-based calculation method. Up to and including 2019, market-based emissions were used.

6Handled waste includes mineral waste that STRABAG accepts/processes in the course of its project business and in its own waste and recycling management centres and processing sites and feeds into the various streams of preparation for reuse, recycling or other processes for recovery and disposal. The key waste figures were first reported for the 2022 financial year and comprise the values from the corporate entities in Austria and from projects and orders in Germany which the Environmental Technology and Building Materials/Recycling subdivisions were responsible for in the reporting year.

7Mineral waste that is diverted from disposal includes waste that is prepared for reuse, recycled and entered into other recovery processes.

8Preparation for reuse includes mineral waste that is prepared for reuse with the same purpose as originally intended – e.g. through washing, screening or sorting.

9On site describes waste that is recycled or disposed of by waste management companies belonging to the Group.

10Off site describes waste that is recycled or disposed of by external waste management companies.

11Recycling refers to the reprocessing of mineral waste in order to obtain new materials and return them to the production cycle.

12Other recovery processes include recovery processes that are not referred to as recycling or reuse.

13Disposal refers to all processes that do not involve recovery.

14The values were adjusted retroactively due to a change in the calculation method.

Sozialkennzahlen

Social indicators

Topic	Indicator	Unit	GRI Standard	2019	2020	2021	2022	2023
Human rights
	Reports of potential human rights violations to the ombudspersons	Number		12	17	27	16	44¹⁵
	Number of confirmed cases of discrimination	Number	406-1	1	3	12	13	33
	Number of cases identified in the category human rights and working conditions¹⁶	Number	406-1	n. a.	n. a.	3	3	11
Occupational safety and health
	Lost-time accident rate¹⁷	%	403-9	0.24	0.27	0.26	0.24	0.23
	White-collar	%	403-9	0.05	0.07	0.07	0.05	0.05
	Blue-collar	%	403-9	0.37	0.41	0.40	0.37	0.36
	Accident incident rate¹⁸	Number	403-9	15.9	15.9	15.6	14.8	14.2
	White-collar	Number	403-9	4.3	4.9	4.4	4.1	3.9
	Blue-collar	Number	403-9	23.9	24.1	23.9	22.6	22.2
	Occupational accidents	Number	403-9	2,326	2,227	2,177	2,018	1,966
	Occupational accidents with serious injuries¹⁹	Number	403-9	n. a.	n. a.	n. a.	12	8
	Fatalities through workplace accidents	Number	403-9	5	0	0	2	6
	Lost-time illness rate²⁰	%		4.9	5.3	5.8	6.1	5.5
	White-collar	%		3.6	3.4	3.5	4.1	3.5
	Blue-collar	%		5.8	6.7	7.5	7.6	7.0
Strategic human resource development
	Number of appraisal interviews held versus number of employees	%	404-3	60.00	51.10	56.19	71.73	78.65
	Women	%	404-3	n. a.	54.57	58.74	72.09	78.71
	Men	%	404-3	n. a.	49.70	55.13	71.57	78.62
	Training days per employee	Number	404-1	1.42	0.68	0.84	1.31	1.18
	Women	Number	404-1	n. a.	0.72	0.91	1.24	1.17
	Men	Number	404-1	n. a.	0.66	0.81	1.34	1.18
	Training and further education sessions	Number		3,881	2,186	2,956	3,378	3,682
	Participants	Number		32,954	25,347	33,961	38,785	45,030
	Managers in the Leadership@STRABAG programme²¹	Number		n. a.	n. a.	412	515	467
	Apprentices	FTE		1,724	1,801	1,829	1,870	1,961
	Blue-collar apprentices	FTE		517	507	505	605	669
	Trainees	FTE		162	158	135	103	105
	Women	FTE		46	58	52	32	35
	Men	FTE		116	100	83	71	70
	Commercial trainees	FTE		28	39	32	30	37
	Technical Trainees	FTE		134	119	103	73	68
Social engagement
	Contribution to projects and initiatives	€ mln.		4.12	3.28	3.90	4.86	6.16

15The increased use of the whistleblower system is attributed to its increased communication via the intranet, at training courses and online on the Group website.

16Category was introduced in 2021

17Number of working hours lost to accidents versus productive working hours (blue-collar: 78,638,119 hours, white-collar: 60,156,298 hours)

18Number of accidents at work per 1 million productive working hours (blue-collar: 78,638,119 hours, white-collar: 60,156,298 hours)

19Indicator was being reported for the first time in the 2022 financial year. STRABAG considers occupational accidents with serious injuries to be occupational accidents that lead to 43 or more days of absence and that can be assigned to the injury types of broken bones, multiple injuries, burns, poisoning or electrocution. In 2022, there were no serious accidents due to poisoning or electrocution.

20Ratio of sick leave days to working days; values for 2020 were adjusted retroactively due to a change in the calculation method.

21The Leadership@STRABAG programme was introduced in 2021.

Beschaeftigungskennzahlen

Employment figures

Topic	Indicator	Unit	GRI Standard	2019	2020	2021	2022	2023
General Employment Figures²²
	Number of employees	FTE	2-7	76,919	74,340	73,606	73,740	77,136
	White-collar	FTE		32,480	31,889	31,934	32,336	33,657
	Blue-collar	FTE		44,439	42,451	41,672	41,404	43,479
	Women	Head count %	2-7	16.9	17.1	17.5	17.6	17.8
	Men	Head count %	2-7	83.1	82.8	82.5	82.4	82.2
	Age group	Head count %	405-1	19	19	17	18	18
	Age group 30–50 years	Head count %	405-1	50	50	52	52	52
	Age group >50 years	Head count %	405-1	31	31	31	30	30
	Segment (North + West)	FTE (%)	2-7	25,386 (33)	25,801 (35)	25,430 (35)	25,693 (35)	22,136 (29)
	Segment (South + East)	FTE (%)	2-7	19,850 (26)	20,512 (27)	20,685 (28)	20,625 (28)	27,057 (35)
	Segment (International + Special Divisions)	FTE (%)	2-7	25,219 (33)	21,339 (29)	20,610 (28)	20,405 (28)	20,360 (26)
	Other	FTE (%)	2-7	6,464 (8)	6,688 (9)	6,881 (9)	7,017 (9)	7,853 (10)
	Germany	FTE	2-7	29,132	28,150	28,131	28,887	31,648
	Austria	FTE	2-7	11,524	11,514	11,515	11,606	11,790
	Poland	FTE	2-7	7,613	6,497	5,786	5,595	6,147
	Americas	FTE	2-7	6,186	6,428	6,340	6,135	6,052
	Czech Republic	FTE	2-7	3,916	4,097	4,187	4,155	4,122
	Hungary	FTE	2-7	2,890	2,880	2,921	2,978	2,848
	Romania	FTE	2-7	1,831	1,745	1,671	1,602	1,942
	Middle East	FTE	2-7	1,524	1,739	1,743	1,768	1,789
	Slovakia	FTE	2-7	2,704	1,553	1,621	1,709	1,560
	United Kingdom	FTE	2-7	1,392	1,452	1,346	1,343	1,409
	Croatia	FTE	2-7	1,078	1,275	1,477	1,484	1,375
	Serbia	FTE	2-7	1,528	1,123	987	923	1,330
	Asia	FTE	2-7	935	960	796	906	1,257
	Rest of Europe	FTE	2-7	880	822	749	690	1,234
	Switzerland	FTE	2-7	1,063	816	1,022	818	709
	Africa	FTE	2-7	660	644	569	529	587
	Bulgaria	FTE	2-7	n. a.	610	932	1,148	410
	Benelux	FTE	2-7	602	538	381	330	304
	Sweden	FTE	2-7	401	491	596	498	248
	Slovenia	FTE	2-7	436	370	319	292	180
	Italy	FTE	2-7	294	276	199	108	141
	Denmark	FTE	2-7	171	212	176	98	54
	Number of nationalities within the Group	Number		120	139	147	154	155
	Percentage of women in the Group and in management
	Women in the Group	Head count %	405-1	16.9	17.1	17.5	17.6	17.8
	Women in management²³	Head count %	405-1	9.3	9.3	9.3	9.5	9.9
	Women on the Supervisory Board²⁴	Head count %	405-1	18	27	18	33	33
	Women on the Management Board	Head count %	405-1	0	0	0	0	0
	Age structures in the Management Board and Supervisory Board
	Management Board
	Age group <30 years	Head count %	405-1	0	0	0	0	0
	Age group 30–50 years	Head count %	405-1	20	33	17	17	20
	Age group >50 years	Head count %	405-1	80	67	83	83	80
	Supervisory Board
	Age group <30 years	Head count %	405-1	0	0	0	0	0
	Age group 30–50 years	Head count %	405-1	18	18	9	9	11
	Age group >50 years	Head count %	405-1	82	82	91	91	89
Detailed employment information
	An explanation of how the data have been compiled, including any assumptions made	The information required for the GRI disclosures was taken from the HR master data of the ERP system at the group headquarters as well as from group organisational units with other ERP systems through standardised monthly reporting.
	Total number of employees by employment contract (permanent and temporary), by gender
	Total permanent	Head count (%)	2-7	70,645 (86)	68,672 (86)	68,458 (87)	68,834 (87)	74,269 (87)
	Total temporary	Head count (%)	2-7	11,668 (14)	10,756 (14)	9,954 (13)	10,618 (13)	11,457 (13)
	Women permanent	Head count (%)	2-7	11,664 (84)	68,672 (86)	11,877 (87)	11,892 (85)	12,921 (85)
	Women temporary	Head count (%)	2-7	2,212 (16)	2,099 (15)	1,808 (13)	2,052 (15)	2,313 (15)
	Men permanent	Head count (%)	2-7	58,981 (86)	57,174 (87)	56,581 (87)	56,942 (87)	61,348 (87)
	Men temporary	Head count (%)	2-7	9,456 (14)	8,657 (13)	8,146 (13)	8,566 (13)	9,144 (13)
	Total number of employees by employment contract (permanent and temporary), by region
	Germany permanent	Head count (%)	2-7	28,839 (88)	27,664 (87)	28,001 (89)	28,516 (88)	32,793 (87)
	Austria permanent	Head count (%)	2-7	12,119 (99)	12,095 (99)	11,792 (97)	12,196 (95)	12,619 (95)
	CEE permanent	Head count (%)	2-7	16,219 (80)	16,963 (80)	17,477 (82)	16,992 (81)	17,193 (82)
	Rest of Europe permanent	Head count (%)	2-7	3,682 (92)	3,515 (86)	3,393 (88)	3,183 (86)	3,643 (86)
	Rest of World permanent	Head count (%)	2-7	9,786 (76)	8,435 (83)	7,795 (83)	7,947 (86)	8,021 (82)
	Germany temporary	Head count (%)	2-7	4,066 (12)	4,033 (13)	3,562 (11)	4,089 (12)	4,740 (13)
	Austria temporary	Head count (%)	2-7	101 (1)	101 (1)	420 (3)	614 (5)	611 (5)
	CEE temporary	Head count (%)	2-7	4,058 (20)	4,304 (20)	3,874 (18)	4,099 (19)	3,773 (18)
	Rest of Europe temporary	Head count (%)	2-7	310 (8)	582 (14)	447 (12)	525 (14)	588 (14)
	Rest of World temporary	Head count (%)	2-7	3,133 (24)	1,736 (17)	1,651 (18)	1,291 (14)	1,745 (18)
	Total number of employees by employment type (full-time and part-time), by region
	Germany full-time	Head count (%)	2-7	26.769 (81)	25.861 (82)	25.853 (82)	26,712 (82)	30,590 (82)
	Austria full-time	Head count (%)	2-7	10.842 (89)	10.830 (89)	10.840 (89)	11,211 (87)	11,490 (87)
	CEE full-time	Head count (%)	2-7	19.843 (98)	20.690 (97)	20.794 (97)	20,656 (98)	20,538 (98)
	Rest of Europe full-time	Head count (%)	2-7	3.631 (91)	3.830 (93)	3.636 (95)	3,493 (94)	3,974 (94)
	Rest of World full-time	Head count (%)	2-7	12.704 (98)	10.009 (98)	9.336 (99)	9,147 (99)	9,734 (99)
	Germany part-time	Head count (%)	2-7	6.136 (19)	5.836 (18)	5.710 (18)	5,893 (18)	6,943 (18)
	Austria part-time	Head count (%)	2-7	1.378 (11)	1.366 (11)	1.372 (11)	1,599 (13)	1,740 (13)
	CEE part-time	Head count (%)	2-7	434 (2)	577 (3)	557 (3)	435 (2)	428 (2)
	Rest of Europe part-time	Head count (%)	2-7	361 (9)	267 (7)	204 (5)	215 (6)	257 (6)
	Rest of World part-time	Head count (%)	2-7	215 (2)	162 (2)	110 (1)	91 (1)	32 (1)
	Total number of employees by employment type (full-time and part-time), by gender
	Total full-time	Head count (%)	2-7	73,789 (90)	71,220 (90)	70,459 (90)	71,219 (90)	76,326 (89)
	Total part-time	Head count (%)	2-7	8,524 (10)	8,208 (10)	7,953 (10)	8,233 (10)	9,400 (11)
	Women full-time	Head count (%)	2-7	8,863 (64)	8,740 (64)	8,907 (65)	9,017 (65)	9,947 (65)
	Women part-time	Head count (%)	2-7	5,013 (36)	4,857 (36)	4,778 (35)	4,927 (35)	5,287 (35)
	Men full-time	Head count (%)	2-7	64,926 (95)	62,480 (95)	61,552 (95)	62,202 (95)	66,379 (94)
	Men part-time	Head count (%)	2-7	3,511 (5)	3,351 (5)	3,175 (5)	3,306 (5)	4,113 (6)
	Any significant variations in the numbers reported in disclosure 2-7	No significant variations in the number of employees could be determined.
	Percentage of total employees covered by collective bargaining²⁵ greements	Head count (%)	2-30	96	94	94	94	94
	New hires (without temporary employment contracts)
	Women	Head count	401-1	808	623	719	934	954
	Men	Head count	401-1	3,558	3,041	3,619	4,741	4,140
	Age group <30 years	Head count	401-1	1,390	1,120	1,297	1,639	1,521
	Age group 30–50 years	Head count	401-1	2,298	1,985	2,392	3,204	2,782
	Age group >50 years	Head count	401-1	678	559	649	832	791
	Germany	Head count (Employee hire rate %)		1,567 (5.4)	1,194 (4.3)	1,322 (4.7)	1,786 (6.3)	1,918 (5.8)
	Women age group <30 years	Head count	401-1	110	75	81	129	157
	Men age group <30 years	Head count	401-1	370	287	328	424	438
	Women age group 30–50 years	Head count	401-1	145	110	129	169	203
	Men age group 30–50 years	Head count	401-1	639	515	558	750	790
	Women age group >50 years	Head count	401-1	52	29	39	53	56
	Men age group >50 years	Head count	401-1	251	178	187	261	274
	Austria	Head count (Employee hire rate %)	401-1	1,282 (10.6)	1,087 (9.0)	1,102 (9.3)	1,288 (10.6)	1,276 (10.1)
	Women age group <30 years	Head count		82	59	59	98	107
	Men age group <30 years	Head count	401-1	435	360	329	353	356
	Women age group 30–50 years	Head count	401-1	151	128	129	162	167
	Men age group 30–50 years	Head count	401-1	478	415	434	491	483
	Women age group >50 years	Head count	401-1	34	31	45	63	54
	Men age group >50 years	Head count	401-1	102	94	106	121	109
	CEE	Head count (Employee hire rate %)	401-1	773 (4.8)	556 (3.3)	604 (3.5)	534 (3.1)	437 (2.5)
	Women age group <30 years	Head count	401-1	54	30	46	30	29
	Men age group <30 years	Head count	401-1	147	103	134	107	91
	Women age group 30–50 years	Head count	401-1	88	68	60	71	68
	Men age group 30–50 years	Head count	401-1	363	266	264	243	182
	Women age group >50 years	Head count	401-1	11	7	10	15	6
	Men age group >50 years	Head count	401-1	110	82	90	68	61
	Rest of Europe	Head count (Employee hire rate %)	401-1	290 (7.9)	342 (9.7)	327 (9.6)	371 (11.7)	370 (10.2)
	Women age group <30 years	Head count	401-1	18	16	19	21	17
	Men age group <30 years	Head count	401-1	72	76	57	96	85
	Women age group 30–50 years	Head count	401-1	20	35	48	32	22
	Men age group 30–50 years	Head count	401-1	129	153	146	159	170
	Women age group >50 years	Head count	401-1	5	11	10	10	12
	Men age group >50 years	Head count	401-1	46	51	47	53	64
	Rest of World	Head count (Employee hire rate %)	401-1	454 (4.6)	485 (5.7)	983 (12.6)	1,696 (21.3)	1,093 (13.6)
	Women age group <30 years	Head count		15	8	13	28	25
	Men age group <30 years	Head count	401-1	87	106	231	353	216
	Women age group 30–50 years	Head count	401-1	20	14	28	43	25
	Men age group 30–50 years	Head count	401-1	265	281	596	1,084	672
	Women age group >50 years	Head count	401-1	3	2	3	10	6
	Men age group >50 years	Head count	401-1	64	74	112	178	149
	Departures (without temporary employment contracts)
	Women	Head count	401-1	801	790	806	880	1,049
	Men	Head count	401-1	4,234	4,243	4,159	4,270	4,819
	Age group <30 years	Head count	401-1	955	799	849	1,006	1,118
	Age group 30–50 years	Head count	401-1	2,575	2,649	2,623	2,699	3,085
	Age group >50 years	Head count	401-1	1,505	1,585	1,493	1,445	1,665
	Germany	Head count (Employee hire rate %)	401-1	1,487 (5.2)	1,437 (5.2)	1,419 (5.1)	1,541 (5.4)	1,854 (5.7)
	Women age group <30 years	Head count	401-1	62	47	48	65	92
	Men age group <30 years	Head count	401-1	229	215	218	254	326
	Women age group 30–50 years	Head count	401-1	160	158	154	146	188
	Men age group 30–50 years	Head count	401-1	452	454	463	551	608
	Women age group >50 years	Head count	401-1	124	128	115	101	136
	Men age group >50 years	Head count	401-1	460	435	421	424	504
	Austria	Head count (Employee hire rate %)	401-1	775 (6.4)	724 (6.0)	911 (7.7)	1.033 (8.5)	1,063 (8.4)
	Women age group <30 years	Head count		33	36	42	62	58
	Men age group <30 years	Head count	401-1	167	129	178	221	220
	Women age group 30–50 years	Head count	401-1	123	107	108	148	151
	Men age group 30–50 years	Head count	401-1	231	218	302	318	353
	Women age group >50 years	Head count	401-1	60	62	69	80	88
	Men age group >50 years	Head count	401-1	161	172	212	204	193
	CEE	Head count (Employee hire rate %)	401-1	742 (4.6)	733 (4.3)	806 (4.6)	966 (5.7)	991 (5.8)
	Women age group <30 years	Head count	401-1	21	19	28	27	26
	Men age group <30 years	Head count	401-1	101	64	99	118	120
	Women age group 30–50 years	Head count	401-1	82	73	91	101	110
	Men age group 30–50 years	Head count	401-1	287	280	317	396	397
	Women age group >50 years	Head count	401-1	30	43	33	39	47
	Men age group >50 years	Head count	401-1	221	254	238	285	291
	Rest of Europe	Head count (Employee hire rate %)	401-1	332 (9.0)	315 (9.0)	378 (11.1)	255 (8.0)	383 (10.5)
	Women age group <30 years	Head count	401-1	12	6	7	9	14
	Men age group <30 years	Head count	401-1	55	47	55	49	40
	Women age group 30–50 years	Head count	401-1	27	28	28	20	47
	Men age group 30–50 years	Head count	401-1	132	133	175	104	159
	Women age group >50 years	Head count	401-1	18	10	11	11	23
	Men age group >50 years	Head count	401-1	88	91	102	62	100
	Rest of World	Head count (Employee hire rate %)	401-1	1,699 (17.4)	1,824 (21.6)	1,451 (18.6)	1,355 (17.1)	1,577 (19.7)
	Women age group <30 years	Head count	401-1	11	17	14	14	26
	Men age group <30 years	Head count	401-1	264	219	160	187	196
	Women age group 30–50 years	Head count	401-1	29	40	45	40	34
	Men age group 30–50 years	Head count	401-1	1,052	1,158	940	875	1,038
	Women age group >50 years	Head count	401-1	9	16	13	17	9
	Men age group >50 years	Head count	401-1	334	374	279	222	274

22All employee figures were determined by including all associated group companies and represent annual average values.

23Hierarchy levels from business unit management up

24As at 31 December 2023

25The national requirements are kept at all subsidiaries.

Governancekennzahlen

Governance indicators

Topic	Indicator	Unit	GRI Standard	2019	2020	2021	2022	2023
Fair competition
	Confirmed incidents of corruption	Number	205-3	2	5	1	0	0
	Business partner screening²⁶	Number		n. a.	n. a.	n. a.	n. a.	3,948
	Business compliance partners²⁶	%		n. a.	n. a.	n. a.	n. a.	2.9
	Training rate²⁶	%		n. a.	n. a.	n. a.	n. a.	90
	Special training²⁶	Number		n. a.	n. a.	n. a.	n. a.	454
	Training Anti-Corruption and BCMS (management)²⁷	%	205-2	90	81	81	86	92
	Austria	Number of participants (%)	205-2	n. a.	n. a.	n. a.	307 (93)	327 (97)
	Germany	Number of participants (%)	205-2	n. a.	n. a.	n. a.	509 (86)	569 (93)
	Poland	Number of participants (%)	205-2	n. a.	n. a.	n. a.	104 (92)	101 (92)
	Czech Republic	Number of participants (%)	205-2	n. a.	n. a.	n. a.	91 (95)	96 (99)
	Hungary	Number of participants (%)	205-2	n. a.	n. a.	n. a.	30 (57)	47 (87)
	Rest of World	Number of participants (%)	205-2	n. a.	n. a.	n. a.	105 (52)	115 (71)
	Training Cartel Law (management)²⁷	Number of participants (%)	205-2	90	83	90	89	91
	Austria	Number of participants (%)	205-2	n. a.	n. a.	n. a.	309 (93)	324 (96)
	Germany	Number of participants (%)	205-2	n. a.	n. a.	n. a.	555 (94)	578 (95)
	Poland	Number of participants (%)	205-2	n. a.	n. a.	n. a.	100 (88)	104 (95)
	Czech Republic	Number of participants (%)	205-2	n. a.	n. a.	n. a.	93 (97)	89 (92)
	Hungary	Number of participants (%)	205-2	n. a.	n. a.	n. a.	33 (62)	49 (91)
	Rest of World	Number of participants (%)	205-2	n. a.	n. a.	n. a.	12 (50)	98 (60)
	Refresher course Business Compliance (management)²⁷	Number of participants (%)	205-2	n. a.²⁸	22	19	64	88
	Austria	Number of participants (%)	205-2	n. a.	n. a.	n. a.	203 (94)	201 (97)
	Germany	Number of participants (%)	205-2	n. a.	n. a.	n. a.	237 (68)	307 (91)
	Poland	Number of participants (%)	205-2	n. a.	n. a.	n. a.	0 (0)²⁹	69 (90)
	Czech Republic	Number of participants (%)	205-2	n. a.	n. a.	n. a.	60 (87)	55 (90)
	Hungary	Number of participants (%)	205-2	n. a.	n. a.	n. a.	0 (0)³⁰	21 (84)
	Rest of World	Number of participants (%)	205-2	n. a.	n. a.	n. a.	26 (11)	33 (46)
	E-learning course Business Compliance Training (management and employees)³¹	%	205-2	n. a.	n. a.	92	94	90
Communication of critical concern³²
	Number of critical concerns that were communicated to the highest governance body	Number	2-16	n. a.	n. a.	n. a.	n. a.	0
Key compensation figures
	Ratio of annual total compensation³³	Factor	2-21	n. a.	n. a.	n. a.	53.1	55.0
	Percentage increase in annual total compensation³⁴	Factor	2-21	n. a.	n. a.	n. a.	n. a.	1.8
	Ratio of basic salary and remuneration of women to men³⁵	Factor	405-2	n. a.	n. a.	n. a.	n. a.	0.85
Client satisfaction
	Client satisfaction index	Index		1.87³⁶	1.87³⁶	n. a.³⁷	4.4³⁸	4.4³⁸
	Organisational efficiency and technical realisation	Index		n. a.	n. a.	n. a.	4.3	4.3
	Responsible and sustainable handling of people and resources	Index		n. a.	n. a.	n. a.	4.3	4.3
	Team: professional competence as well as communication and cooperation	Index		n. a.	n. a.	n. a.	4.5	4.6

26Indicator is being reported for the first time in the 2023 financial year.

27The breakdown of training participants and rate by region is being reported for the first time in the financial year 2022. A different regional breakdown will be used from the 2023 reporting year onwards.

282019 not available due to changes to training courses

29The training concept was rolled out in 2023.

30The training concept was rolled out in 2023.

31Training was first implemented in 2021.

32The 2023 financial year is the first year for which this indicator is being reported. Critical concerns are defined as reports from the whistleblower platform that were communicated to the Management Board during the reporting year.

33The factor is calculated from the ratio of the annual total compensation for the highest-paid individual to the median annual total compensation for all employees. The median annual employee compensation was calculated on the basis of the HR master data taken from the ERP system at Group headquarters, taking into account those employees who were employed for at least six months in the calendar year. Compensation was extrapolated into an annual amount for employees who were with the company for less than 12 months in the year and to a full-time amount in the case of part-time employment.

34The 2023 financial year is the first year for which this indicator is being reported. The factor is calculated from the ratio of the percentage increase in the total annual remuneration of the highest-paid person in the organisation and the average percentage increase in the total annual remuneration of all employees with the exception of the highest-paid person.

35The 2023 financial year is the first year for which the indicator is being reported. The gender pay gap was calculated as an average across all employees in the Group, independent of their respective role. The figure is influenced, among other things, by the limited proportion of women in technical professions and management positions in the industry. Our internal analyses have shown that we are already successfully implementing equal pay for the same job in most job categories. At the same time, we use this analysis to specifically address any unequal treatment.

361 (pos.)–6 (neg.)

37Due to changes in the way data are collected

381 (neg.)–5 (pos.)