Appendix to GRI Indicators

102-8 Information on employees and other workers

Number of employees at year end by type of working day and gender

Total 2018 2019
Full – time  75,418 Men 60,221 58,177
Women 18,095 17,241  
Partial – time  14,550 Men 4,817 4,079  
Women 8,980 10,471  

Number of employees at year end by type of contract and gender

Total 2018 2019
Temporary contract 18,125 Men 13,118  11,369  
Women 5,007  5,187  
 Undefined contract 73,988 Men 51,920  50,887  
Women 22,068  22,525  

Average number of employees at year end by type of contract, category and gender

Unlimited Temporary Total Total
Men Women Men Women Men Women
Directors  156.1  20.5  7.5  3.0  163.6  23.5  187.1
Senior Management  746.4  151.7  70.2  2.1  816.6  153.8 970.4
Directives  3,186.0  955.3  174.9  22.7  3,360.9  978.0  4,338.9
Graduates  2,742.2  1,150.7  107.7  54.6  2,849.9  1,205.2  4,055.1
Administratives  3,835.6  1,707.4  695.6  335.1  4,531.2  2,042.5  6,573.8
Technicians and Operators  835.6  1,253.7  160.7  207.8  996.2  1,461.5  2,457.7
Blue Collar 39,704.8 17,023.2 11,366.0 4,533.8 1,070.8 21,557.0 72,627.7
TOTAL  51,206.7 22,262.6  12,582.5  5,158.9 63,789.2 27,754.9 91,210.7

Number of employees at year end by region and gender

2018 2019
Men Women Total
Spain 42,045 25,815 16,447 42,262
United Kingdom 16,356 11,757 4,358 16,115
Others 10,350 7,807 1,691 9,498
E.E.U.U. 4,490 4,576 730 5,306
CANADA 378 654 68 722
Poland 6,734 4,950 1,443 6,393
Australia 11,760 6,659 3,013 9,672
TOTAL 92,113 62,218 27,750 89,968

 

102-9. Supply Chain

Due to the diverse nature of Ferrovial’s activities, the supply chains are different for each. Around 97% of suppliers are concentrated in Construction and Services, registering the largest volumes of orders. The Global Purchase Committee, composed of the highest representatives of business purchases, coordinates this activity, looking for possible synergies and sharing best practices.

In the Construction area, the vast majority of purchases are destined for works in progress at any time. A small part goes to the offices, departments and services that support the execution of the same. The supply chain is made up of suppliers (manufacturers and distributors) and subcontractors. The specific characteristics of the construction supply chain are: high number of suppliers; degree of significant subcontracting, which varies depending on the type and size of the work and the country in which it is carried out; high percentage of local suppliers, since the sector is closely linked to the country / area in which each work is executed; very diverse supplier typology, from large multinationals with global implantation and highly technified, to small local suppliers (mainly subcontractors) for less qualified jobs; and need to adapt to the requirements of each local market.

In the Services business, the supply chain includes all the main and secondary suppliers (suppliers of raw materials, industrial supplies or energy, suppliers of capital goods, machinery and finished product) as well as the subcontractors and service providers involved in the company’s activities, evaluating them to ensure adequate training. In Spain, from the Procurement and Fleet department, guidelines are drawn up for the different business areas regarding contracting with third parties and all the critical suppliers involved in the provision of services and supply of products for the company are managed. In the international part, each country has its procurement procedure,
based on the Global Procurement Procedure defined by the Global Procurement Committee. In the United Kingdom, the typology of the supply chain is very diverse due to the wide range of activities that are carried out.

102-38 Annual Total Compensation Ratio

2017 2018 2019
TOTAL Ferrovial 133.63 103.18 117.28 
USA 7.70 5.79 7.39
Spain 33.78 32.59 26.18
Poland 24.76 27.93 30.97
United Kingdom 25.79 23.78 21.76
Australia 8.72 13.03 17.44
Chile 14.54 15.12 15.09

102-39 Percentage increase in annual total compensation ratio

2017 2018 2019
TOTAL Ferrovial 48.79% 20.07% -16.12% 
USA 25.94% 36.36% -8.91%
Spain 10.44% 3.93% 19.38%
Poland 13.04% 2.99% -14.75%
United Kingdom -15.93 2.68% 7.81%
Australia 89.15% -55.5% -48.20%
Chile -1.85% -15.54% 5.41%

 

102-41 Collective bargaining agreements

Total workforce Employees represented 2019% 2018%
Spain 42,045 41,597 99.9% 99 %
United Kingdom 16,356 5,387 26.3% 33 %
Others 10,350 2,540 55.6% 25 %
E.E.U.U. 4,868 508 1.1% 10 %
CANADA 722 305 42.2%
Poland 6,734 5,061 81.5% 75 %
Australia and New Zealand 11,760 8,795 87.7% 75 %
TOTAL 89,968  66,281 73.7% 69 %

201-1 Direct economic value generated and distributed

GENERATED ECONOMIC VALUE (M€) 2017 2018 2019
a) Revenue  
Turnover 5,152 5,737 6,054
Other operating revenue 1 2 2
Financial revenue 36 72 101
Disposals of fixed assets 47 95 423
Income carried by the equity method 175 240 269
Total 5,411 6,146 6,849 

 

DISTRIBUTED ECONOMIC VALUE (M€)
2017 2018 2019
b) Consumption and expenses ¹  
Consumption 818 985 949
Other operating expenses 2,905 3,324 3,958
c) Payroll and employee benefits  
Personnel expenses 915 945 1,027
d) Financial expenses and dividends  
Dividends to shareholders 218 240 238
Treasury share repurchase ² 302 280 282
Financial expenses 305 287 328
e) Taxes  
Corporate income tax 38 19 39
Total 5,501 6,080 6,821
RETAINED ECONOMIC VALUE (M€) -90 66 28 

 

1) The Group’s social action expenses, together with the Foundation’s expenses, are set out in Community chapter.

2) Reduction of capital by amortization of treasury shares. For more information, note 5.1 Shareholders’ Equity of Consolidated Annual Accounts.

301-1 Materials used by weight or volume

2017 2018 2019
Paper (kg) 719,591 616,444 706.053
Timber (m³) 54,059 48,131 31.861
Bitumen (t) 223,755 268,994 250.806
Concrete (t) 6,415,640 6,858,266 5.951.699
Corrugated steel (t) 200,664 162,558 179.861

301-2 Recycled input materials used

2017 2018 2019
Total recycled materials (t) 767,186 2,317,542 2,541,258

302-1 Energy consumption within the organization

2017 2018 2019
Fuels used by stationary and mobile sources (total) (GJ) Diesel 6,058,020 5,167,428 4,532,451
Fuel 78,994 98,703 157,533
Gasoline 472,599 289,117 586,315
Natural Gas 3,039,568 260,542 304,364
Coal 390,225 570,558 361,701
Kerosene 21,189 20,221 24,938
Propane 18,467 27,732 22,793
LPG 11,540 6,600 6,856
TOTAL 10,090,602 6,440,901 5,996,951
Electricity consumption from non-renewable sources (GJ) Services 379,427 315,478 188,480
Construction 421,327 342,664 270,934
Toll Roads 66,489 61,702 61,360
Corporation 4,501 4,073 4,239
Airports 30 2 4
TOTAL 871,774 723,919 525,018
Electricity consumption from renewable sources (GJ)) Services 154,964 227,537 438,589
Construction 447,483 449,183 323,981
Toll Roads 4,049 4,009 4,058
Corporation 0 0 0
Airports 0 0 0
TOTAL 606,496 680,729 766,628

(*) Data from 2017 and 2018 has been adjusted acording to the best data available in 2019

302-1 Energy consumption within the organization

ENERGY PRODUCED (GJ) 2017 2018 2019
Electric power for recovery of biogas 354,039 329,473 207,541
Thermal energy by biogas valorisation 202,812 261,406 31,349
Electric power generated in water treatment plants 110,464 113,380 120,155
Electric power generated in thermal drying 286,657 352,379 285,752
Electric power generated in waste incineration 598,836 763,254
TOTAL 953,972 1,655,474 1,408,051 

 

302-2 Energy consumption outside of the organization

2017 2018 2019
Consumption of energy acquired, by primary sources (GJ)
Coal 746,608.70 1,012,286 569,786
Diesel 87,398 90,077 45,159
Gas 653,127 457,585 260,090
Biomass 54,845 101,151 78,764
Waste 9,080 13,253 10,714
Others 658,620 491,549 328,485
TOTAL 2,209,680 2,165,902 1,292,997

 

303-1 Water withdrawal by source

2017 2018 2019
Water Consumption (m³) 6,301,624 5,834,952 5,615,132

 

(*) Data from 2017 and 2018 has been adjusted acording to the best data available in 2019

304-4 IUCN Red list species and national conservation list species with habitats in areas affected by operations

Species (cientific name) Common name IUCN Red List ESA
Others
Alasmidonta heterodon Dwarf Wedge Mussel Vulnerable (VU) Endangered
Ammospermophilus nelsoni San Joaquin antelope squirrel Endangered (EN) En Peligro
Apium repens Creeping Marshwort/ Apio rastrero Vulnerable (VU)
Cambarus howardi Chattahoochee Crayfish Least Concern “Poco preocupante” (LC) Proteted by por Georgia Endangered Wildlife Act
Cedrela odorata Cedro americano / Spanish Cedar Vulnerable (VU)
Chioglossa lusitanica Golden-striped salamander/ Salamandra rabilarga Vulnerable (VU)
Delma torquatta Collared delma Least Concern “Poco preocupante” (LC)
Hirundo rustica Golondrina común (Barn swallow) Least Concern “Poco preocupante” (LC) Endangered “Of special interest” in Catálogo Nacional de Especies Amenazadas
Mustela lutreola Visón europeo Critically endangered “Amenaza crítica”(CR)
Juglans cinerea Nogal blanco americano (Butternut) Endangered (EN) En Peligro
Margaritifera margaritifera Freshwater pearl mussel/ Mejillón de río Endangered (EN) En Peligro
Myotis lucifugus Pequeño murciélago café (Little Brown Myotis) Endangered (EN) En Peligro
Myotis septentrionalis
Northern Long-eared Bat Near threatened (NT) In danger of extinction
Neophron percnopterus Alimoche (Egyptian vulture) Endangered (EN) En Peligro “En peligro” (Libro Rojo de las Aves de España)
Otis tarda
Great Bustard/ Avutarda Vulnerable (VU)
Oxyura leucocephala White-headed duck/ Malvasía cabeciblanca Endangered (EN) En Peligro
Petrochelidon Pyrhonota Golondrina Risquera (Cliff Swallow/) Least Concern “Poco preocupante” (LC)
Pseudophryne australis Red crowned toadlet Vulnerable (VU)
Testudo graeca Common Tortoise/ Tortuga mora Vulnerable (VU)

305-1 Direct (scope 1) GHG emissions (tCO2 eq)

Emissions by company 2009 (base year) 2017 2018* 2019
Budimex 27,744 55,008 77,094 64,373
Cadagua 18,669 1,010 599 606
FASA 61,287 116,525 81,326 85,681
Webber 55,532 36,221 40,664 41,572
Ferrovial Corporation 375 298 260 219
Cintra 3,145 2,171 2,220 2,053
Amey 252,999 215,380 216,716 233,669
Broadspectrum 98,015 98,294 62,539 42,177
Ferrovial Services 393,932 336,302 335,637 321,607
Transchile 41 41 30 17
TOTAL 911,740 861,251 817,084 791,974 

 

(*) Data from 2018 has been adjusted acording to the best data available in 2019

Emissions by source 2009 (base year)  2017 2018* 2019
Refrigerant 185 8 136 128
Stationary 257,927 312,558 287,157 292,555
– Heating 3,794 4,302 5,356 7,591
– Machinery 254,133 308,256 281,801 284,964
Mobile 382,178 332,990 307,211 271,220
Difuse 271,450 215,695 222,580 228,071
TOTAL 911,740 861,251 817,084 791,974 

 

(*) Data from 2018 has been adjusted acording to the best data available in 2019

Biogenic CO2 (tCO2/eq) 2009 (base year)  2017 2018 2019
Construction 768 50,717 51,935 54,678
Services 729,776 733,487 736,842 733,912
TOTAL 730,544 784,205 788,777 788,590 

305-2 Energy indirect (scope 2) GHG emissions (tCO2 eq)

EMISSIONS BY COMPANY 2009 (base year) 2017 2018* 2019
Budimex 19,921 17,154 18,446 15,953
Cadagua 44,552 14,087 11,138 6,713
FASA 13,647 17,741 10,723 10,180
Webber 10,023 6,661 6,112 3,050
Ferrovial Corporation 521 382 345 360
Cintra 12,538 7,920 7,640 7,563
Amey 14,291 2,563 2,524 2,108
Broadspectrum 27,946 26,986 22,126 21,328
Ferrovial Services 15,049 18,435 12,376 2,070
Transchile 4 4 0 1
TOTAL tCO2 eq 158,492 111,932 91,430 69,327 

 

BY BUSINESS 2009 (Base year) 2017 2018 2019
Toll roads 60.26 22.94 17.36 15.61
Construction 46.22 55.48 47.59 43.2
Services 230.75 99.09 96.25 87.74
Corporation 10.43 128.69 175.56 46.87
Airports 6.29 6,29 4.69 2.6
Relative emissions (tCO2 eq/M€) 162.36 79.37 73.10 66.18

 

305-3 Other indirect GHG emissions (scope 3)

Below are the activities, products and services subject to scope 3 calculations:

  • Purchased goods and services: Includes emissions related to the life cycle of materials bought by Ferrovial that have been used in products or services offered by the company. This includes emissions derived from the purchase of paper, wood, water and other significant materials (concrete and asphalt), descibed in the indicator 301-1. Subcontractors data and purchases of corrugated steel are not included.
  • Capital goods: Includes all upstream emissions (i.e. cradle-to-gate) from the production of capital goods bought or acquired by the company in the year, according to information included Consolidated Financial Statements.
  • Fuel and energy related activities: This section includes the energy required for producing the fuel and electricity consumed by the company and electricity lost during transport.
  • Upstream transportation and distribution: Includes emissions from the transport and distribution of the main products purchased in the year, detailed in indicator 301-1 except for corrugated steel.
  • Waste generated in operations: Emissions under this heading are linked to waste generated by the company’s activities reported in 2019.
  • Business travel: Includes emissions associated with business travel: train, plane and taxi, reported by the main travel agency that the group works with in Spain.
  • Employee commuting: This includes emissions from journeys made by employees commuting from their homes to central offices in Spain.
  • Investments: This calculates emissions linked to investments in British airports. Data for 2019 is not available as of the report release date, and therefore emission figures for 2018 are used.
  • Use of sold products: Ferrovial calculates emissions generated by use of land transport infrastructure managed by Cintra.
  • End of life treatment of sold products: This category includes emissions from the elimination of waste generated at the end of the useful lives of products sold by Ferrovial in the reporting year. Only emissions derived from products reported in the “purchased goods and services” category are taken into account.
  • Upstream leased assets: Includes emissions related to the consumption of electricity at client buildings where maintenance and cleaning services, as well as consumption anagement, are provided by Amey.
2012 (base year) 2017 2018 2019
Business travel 6,606 8,181 8,334 7,232
Capital Goods 569,407 288,004 314,611 118,081
Employee commuting 792 3,221 1,821 1,763
End of life treatment of sold products 52,703 39,245 37,456 28,070
Fuel and energy related activities 191,927 219,335 178,902 136,217
Purchased goods and services 743,192 461,150 489,189 426,605
Upstream leased 1,405 0 0 0
Upstream transportation and distribution 461,487 407,580 434,112 376,832
Use of sold product 641,031 555,585 587,563 692,499
Waste generated in operations 191,948 150,777 140,808 141,389
Investments 805,044 566,067 569,388 569,388
TOTAL 3,665,541 2,699,147 2,762,183 2,498,075 

 

305-5 Reduction of GHG emissions

2017 2018 2019
EMISSIONS AVOIDED BY SORTING AND BIOGAS CAPTURE  
Greenhouse gas avoided by sorting (tCO2eq) 699,498 659,059 899,577
Greenhouse gas avoided by biogas capture (tCO2eq) 729,724 815,778 778,721
Greenhouse gas avoided by biogas capture on treatment plants (tCO2eq) 432,248 420,360 422,724
EMISSIONS AVOIDED THROUGH POWER GENERATION  
In landfills (t CO2eq) 32,060 29,626 18,760
At water treatment plants (t CO2eq) 33,684 39,511 34,429
At waste treatment plants (t CO2eq) 56,560 71,347
EMISSIONS PREVENTED BY PURCHASING ELECTRICITY FROM RENEWABLE SOURCES  
Electricity bought from third parties (t CO2eq) 36,923 51,076 87,345
TOTAL 1,531,889 1,651,610 2,312,903 

 

305-7 Nitrogen oxigen (NOx), sulfur oxigen (SOx), and other significant air emissions

NOx (t) CO (t) COVNM (t) SOx (t) Particules (t)
Emissions from boilers 118.96 46.89 10.85 143.90 28.36
Emissions caused by motor vehicles 998.83 2,157 272.76 0 123.71
Emissions caused by electricity 45.44 17.64 0.35 71.16 3.87
NOx (g/kg) CO (g/kg) COVNM (g/kg) SOx (g/kg) Particules (g/kg)
Emissions caused by mobile equipment used in construction works 944.24 162.62 49.59 0 85.41

 

306-2 Waste by type and disposal method

2017 2018 2019
Waste produced from construction and demolition (m³) 1,439,795 2,344,504 1,466,767
Total soil from excavation (m³) 27,612,500 19,363,051 21,648,346
Topsoil reused (m³) 1,458,280 922,936 2,894,515
Material sent to landfill outside the worksite (m³) 5,287,068 528,749 762,077
Materials reused at worksite (m³) 15,498,439 14,336,346 12,059,463
Materials sent to other worksite or authorized landfill (m³) 5,368,713 3,575,020 5,932,290
Hazardous waste (t)1 27,943 18,419 37,973
Non-hazardous waste (t) 2 683,842 766,285 443,691

 

(1) Includes mainly leachate, sludge, contaminated soil and oil.

(2) Non-hazardous waste for 2017 and 2018 has been recalculated, excluding treated waste from cleaning and maintenance services provided by FB Serwis.

CRE6. Percentage of the organization operating in verified compliance with an internationally recognized health and safety management system

2017 2018 2019
Percentage of the organización certified in compliance with a health and safety management system 95 94 92

CRE8. TYPE AND NUMBER OF CERTIFICATIONS, CLASSIFICATIONS AND LABELLING SYSTEMS REGARDING THE SUSTAINABILITY OF NEW CONSTRUCTIONS, MANAGEMENT, OCCUPATION AND RECONSTRUCTION.

Sustainable construction certifications obtained in Spain and Poland:

Description Area Certification
Hospital Fraternidad – Muprespa Habana Spain LEED Platinum
Nave B Click on Torija Spain LEED Silver
Nave Pulsar in Torija Spain LEED Silver
Citrus Pozuelo Office Building Spain LEED Platinum
Las Tablas Office Building Spain LEED Gold
C.I.T Metro de Madrid Spain Green
IESE University Education Center Spain LEED Gold
Ariane 6 building and Airbus Getafe development Spain BREEAM Good
IKEA commercial and office building Poznań Poland BREEAM Very Good
Expansion, reconstruction and renovation of Primary School No. 2 with Integration Departments Soldiers of the 2nd District of the Home Army ‘Celków’ in Marki at ul. School 9 Poland BREEAM Good, Green Building Standard
Siemens – construction of an office building on ul. Nicupnicza 11 in Warsaw Poland LEED Gold
2BC8 – Marecka Centrum Edukacji-Rekreacyjne Poland BREEAM Very Good
Karolkowa 28 – building complex A and B Poland BREEAM Good
Camellia zespół miesz.ul.Potrzebna Włochy Poland HQE

401-1 New employee hires and employee turnover

In 2019, the total number of new hires was 30,305, which corresponds to a total hiring rate of 33.68% in relation to the staff at the end of the year. The breakdown by country, gender and age is as follows:

Zona <30 30 – 45 >45 Subtotal TOTAL
USA Men 1.296 1.834 1.459 4.589 5.278
Women 219 281 189 689
Canada Men 114 215 411 740 803
Women 16 14 33 63
United Kingdom Men 673 765 659 2.097 2.987
Women 289 343 258 890
Poland Men 255 340 194 789 1.022
Women 128 84 21 233
Spain Men 1.379 1.940 1.397 4.716 9.570
Women 890 1.641 2.323 4.854
Australia Men 490 716 500 1.706 2.591
Women 260 331 294 885
Rest of countries Men 1.464 3.046 2.281 6.791 8.054
Women 326 445 492 1.263
TOTAL Men 5.671 8.856 6.901 21.428 30.305
Women 2.128 3.139 3.610 8.877
Subtotal 7.799 11.995 10.511

 

Average turnover rate disclosed by gender, category and age

Voluntary Involuntary* Total
Men Women Men Women Men Women
<30 30-45 >45 <30 30-45 >45 <30 30-45 >45 <30 30-45 >45 <30 30-45 >45 <30 30-45 >45 Total by category
Executives 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.01% 0.00% 0.00% 0.00% 0.00% 0.00% 0.01% 0.00% 0.00% 0.00% 0.02%
Senior Manager 0.00% 0.01% 0.01% 0.00% 0.01% 0.00% 0.00% 0.01% 0.01% 0.00% 0.00% 0.00% 0.00% 0.02% 0.02% 0.00% 0.01% 0.00% 0.06%
Manager 0.02% 0.14% 0.05% 0.00% 0.05% 0.02% 0.01% 0.05% 0.04% 0.00% 0.02% 0.01% 0.03% 0.19% 0.09% 0.00% 0.07% 0.03% 0.41%
Senior Professional / Supervisor 0.04% 0.11% 0.04% 0.01% 0.07% 0.02% 0.01% 0.05% 0.06% 0.01% 0.01% 0.01% 0.05% 0.16% 0.10% 0.02% 0.08% 0.03% 0.43%
Professional 0.20% 0.22% 0.08% 0.11% 0.13% 0.02% 0.05% 0.07% 0.09% 0.02% 0.03% 0.02% 0.25% 0.30% 0.17% 0.13% 0.16% 0.04% 1.04%
Administratives / Support 0.06% 0.03% 0.04% 0.10% 0.06% 0.02% 0.01% 0.04% 0.01% 0.02% 0.02% 0.02% 0.07% 0.07% 0.05% 0.12% 0.08% 0.04% 0.44%
Blue Collar 1.14% 1.87% 1.33% 0.30% 0.81% 0.54% 0.94% 1.86% 1.41% 0.13% 0.26% 0.25% 2.08% 3.73% 2.74% 0.43% 1.07% 0.78% 10.84%
Subtotal by age 1.46% 2.39% 1.56% 0.51% 1.13% 0.62% 1.01% 2.09% 1.63% 0.19% 0.33% 0.30% 3.02% 6.03% 4.69% 0.72% 1.48% 0.93% 13.23%
Subtotal by gender 5.42% 2.26% 4.73% 0.82% 10.14% 3.09%
Total 7.68% 5.55%

403-1 Workers representation in formal joint management-worker health and safety committees

2017 2018 2019
Percentage of total workforce represented in formal joint management-worker health and safety committees 63,4 70,2 70.3

403-2 Types of injury and rates of injury, occupational diseases, lost days, and absenteeism, and number of work-related fatalities

2017 2018 2019
Frequency rate 13.6 12.2 10.3
Frequency rate including subcontractors 10.8 10.0 7.7
Severity index 0.31 0.29 0.25
Absenteeism rate 5.28 5.66 * 5.54
Occupational disease frequency index 0.56 0.44 0.39
Absenteeism hours (mill.hours) 9.77 9.52

Frequency Rate = number accidents involving absence * 1,000,000 / No. hours worked

Severity Index = No. days lost * 1,000 / No. hours worked

Note: in 2019 there were fourteen fatal accidents, five of employees and nine of contractor workers.

404-1 Average hours of training per year per employee

2019
2017 2018 Executives Senior Manager Manager Senior Professional / Supervisor Professional Administratives / Support Blue Collar Hours per employee 2019
Corporate 26.079 34.342 707 2.956 2.022 10.663 1.798 1.127 180 40.78
Construction 195.515 192.331 1.542 13.808 49.841 39.277 49.395 13.050 33.032 11.80
Services 613.381 606.195 1.754 5.069 29.561 31.007 31.797 28.664 520.878 9.03
Toll Roads 18.950 21.087 1.066 3.367 2.758 1.877 885 4.493 29.13
Real Estate 2.064 1.145 107 22 326 160 160 80 5.55
Airports 1.091 1.941 861 723 547 68 319 51.39
Subtotal 4.110 23.782 85.840 84.412 85.095 44.125 558.583 9.85
TOTAL 857.079 857.041 885.947

405-1 Diversity of governance bodies and employees

2019
Executives Senior Manager Manager Senior Professional / Supervisor Professional Administratives/Support Blue Collar Subtotal Total
Corporate Men                                  51                                      40                           28                                       93                                   18                       5          53 288 477
Women                                    8                                      24                           20                                       83                                   14                     24          16 189
Toll Roads Men 0                                      49                           70                                       38                                   31                       7        139 334 496
Women 0                                      13                           21                                       34                                   29                     25          40 162
Airports Men 0                                      13                           14                                         6 0 0 0 33 49
Women 0                                        4                             1                                         6 0                       5 0 16
Construction Men                                  75                                    289                      1,717                                  1,240                              2,675                   521     7,771 14,288 16,940
Women                                    4                                      38                         346                                     411                              1,157                   519        177 2,652
Services Men                                  32                                    346                      1,498                                  1,403                              1,358                   349   42,268 47,254 71,852
Women                                    9                                      84                         549                                     667                                 816                1,027   21,446 24,598
Real Estate Men                                    3                                        6                           23                                         7                                   17                       1            2 59 154
Women                                    1 0                           20                                       11                                   49                     13            1 95
TOTAL Men 161 743 3,350 2,787 4,099 883 50,233 62,256 89,968
Women 22 163 957 1,212 2,065 1,613 21,680 27,712

405-2 Ratio of basic salary and remuneration of men to women

Gender Salary Gap analysis segmented by country. This analysis have been performed on 92.57% of the real workforce as of December 31, 2018.

Gender % of employees Median salary Mean salary % of gender pay gap (mean) % of gender pay gap (mean)
Spain Men 61 28,900 € 32,503 € 16.93% 15.50%
Women  39 24,008 € 27,464 €
United Kingdom Men 73 £31,461 £35,422 28.95% 25.60%
Women 27 £22,354 £35,422
Australia Men 69 87,998 AUD 94,018 AUD 28.95% 26.50%
Women 31 63,936 AUD 69,099 AUD
United States Men 87 $65,216 $66,311 -1.70% -1.76%
Women  13 $66,324 $67,475
Poland Men  77 106,902 zł 116,029 zł 10.65% 12.55%
Women  23 95,514 zł 101,465 zł
Chile Men  90 14,062,402 CLP 14,828,112 CLP 1.19% 3.23%
Women  10 13,894,918 CLP 14,349,130 CLP
Portugal Men 53 10,029 € 10,605 € 8.16% 11.90%
Women 47 9,210 € 9,343 €
Country Professional category Gender % of employees Average wage
Spain Executives/Senior Manager/Manager Men 80% 103.742 €
Women 20% 76.028 €
Senior Professionals/Supervisors Men 66% 49.230 €
Women 34% 42.011 €
Professionals Men 70% 43.253 €
Women 30% 34.045 €
Administratives/Support Men 54% 32.155 €
Women 46% 29.981 €
Blue Collars Men 60% 28.303 €
Women 40% 25.864 €
TOTAL 2019 Men 61% 32.503 €
Women 39% 27.464 €
TOTAL 2018 Men 62% 32.941 €
Women 38% 28.051 €
United Kingdom Executives/Senior Manager/Manager Men 77% £72.513
Women 23% £55.226
Senior Professionals/Supervisors Men 80% £39.066
Women 20% £46.927
Professionals Men 60% £48.647
Women 40% £41.009
Administratives/Support Men 15% £23.453
Women 85% £23.420
Blue Collars Men 76% £29.946
Women 24% £21.148
TOTAL 2019 Men 73% £35.422
Women 27% £26.354
TOTAL 2018 Men 74% £31.706
Women 26% £19.845
Australia Executives/Senior Manager/Manager Men 71% 223.028 AUD
Women 29% 172.683 AUD
Senior Professionals/Supervisors Men 70% 125.956 AUD
Women 30% 90.132 AUD
Professionals Men 66% 108.905 AUD
Women 34% 90.926 AUD
Administratives/Support Men 38% 89.362 AUD
Women 62% 71.406 AUD
Blue Collars Men 71% 78.673 AUD
Women 29% 55.860 AUD
TOTAL 2019 Men 69% 94.018 AUD
Women 31% 69.099 AUD
TOTAL 2018 Men 73% 83.248 AUD
Women 27% 63.344 AUD
USA Executives/Senior Manager/Manager Men 80% $155.522
Women 20% $135.112
Senior Professionals/Supervisors Men 82% $108.334
Women 18% $85.358
Professionals Men 79% $80.914
Women 21% $73.522
Administratives/Support Men 35% $57.728
Women 65% $48.737
Blue Collars Men 94% $52.093
Women 6% $52.106
TOTAL 2019 Men 87% $66.311
Women 13% $67.475
TOTAL 2018 Men 86% $68.512
Women 14% $65.937
Poland Executives/Senior Manager/Manager Men 82% 226.461 zł
Women 18% 168.911 zł
Senior Professionals/Supervisors Men 62% 153.615 zł
Women 38% 131.324 zł
Professionals Men 55% 94.933 zł
Women 45% 83.741 zł
Administratives/Support Men 25% 69.234 zł
Women 75% 55.833 zł
Blue Collars Men 99% 65.091 zł
Women 1% 45.935 zł
TOTAL 2019 Men 77% 116.029 zł
Women 23% 101.465 zł
TOTAL 2018 Men 78% 103.616 zł
Women 22% 98.139 zł
Chile Executives/Senior Manager/Manager Men 81% 77.119.552 CLP
Women 19% 46.426.074 CLP
Senior Professionals/Supervisors Men 81% 33.447.678 CLP
Women 19% 27.421.237 CLP
Professionals Men 73% 17.890.683 CLP
Women 27% 18.618.510 CLP
Administratives/Support Men 53% 12.261.904 CLP
Women 47% 10.864.731 CLP
Blue Collars Men 92% 13.367.862 CLP
Women 8% 11.683.403 CLP
TOTAL 2019 Men 90% 14.828.112 CLP
Women 10% 14.349.130 CLP
TOTAL 2018 Men 91% 16.076.403 CLP
Women 9% 14.016.384 CLP
Portugal Executives/Senior Manager/Manager Men 64% 59.209 €
Women 36% 42.228 €
Senior Professionals/Supervisors Men 75% 30.167 €
Women 25% 35.026 €
Professionals Men 77% 13.763 €
Women 23% 14.586 €
Administratives/Support Men 39% 12.697 €
Women 61% 11.744 €
Blue Collars Men 48% 8.825 €
Women 52% 8.458 €
TOTAL 2019 Men 53% 10.605 €
Women 47% 9.343 €
TOTAL 2018 Men 63% 11.826 €
Women 37% 8.142 €