Appendix to GRI Indicators
102-8. INFORMATION ON EMPLOYEES AND OTHER WORKERS
Number of employees at year-end by type of workday and gender.
| Total | 2019 | 2020 | ||
|---|---|---|---|---|
| Jornada completa |
66,382 | Men | 58,177 | 49,712 |
| Women | 17,241 | 16,670 | ||
| Jornada parcial |
13,737 | Men | 4,079 | 4,452 |
| Women | 10,471 | 9,285 |
Number of employees at year-end by type of employment contract and gender.
| Total | 2019 | 2020 | ||
|---|---|---|---|---|
| Temporary contract | 18,859 | Men | 11,369 | 12,804 |
| Women | 5,187 | 6,055 | ||
| Undefined contract | 61,260 | Men | 50,887 | 41,359 |
| Women | 22,525 | 19,901 |
Average number of employees by gender, type of contract and professional category
| Category | Unlimited | Temporary | Total | Total 2020 | Total 2019 | |||
|---|---|---|---|---|---|---|---|---|
| Men | Women | Men | Women | Men | Women | |||
| Executives | 140.6 | 17.1 | 7.3 | 2.0 | 147.9 | 19.1 | 167.0 | 187.1 |
| Senior Manager | 536.6 | 107.0 | 10.0 | — | 546.6 | 107.0 | 653.6 | 970.4 |
| Manager | 3,129.6 | 762.6 | 163.1 | 62.4 | 3,292.8 | 825.0 | 4,117.8 | 4,338.9 |
| Senior Professional / Supervisor | 2,331.5 | 985.1 | 130.7 | 46.1 | 2,462.2 | 1,031.1 | 3,493.4 | 4,055.1 |
| Professional | 6,859.1 | 2,512.3 | 713.7 | 497.9 | 7,572.8 | 3,010.2 | 10,583.0 | 6,573.8 |
| Administratives / Support | 887.2 | 1,269.1 | 169.4 | 360.3 | 1,056.7 | 1,629.4 | 2,686.1 | 2,457.7 |
| Blue Collar | 32,289.2 | 13,851.3 | 10,193.7 | 6,270.6 | 42,482.9 | 20,121.8 | 62,604.8 | 72,627.7 |
| TOTAL | 46,173.9 | 19,504.5 | 11,388.0 | 7,239.3 | 57,561.9 | 26,743.8 | 84,305.7 | 91,210.7 |
Data for 2019 can be found in the 2019 Integrated Annual Report, page 125.
Number of employees at year-end by region and gender
| 2019 | 2020 | |||
|---|---|---|---|---|
| Men | Women | Total | ||
| Spain | 42,262 | 25,450 | 17,442 | 42,892 |
| United Kingdom |
16,115 | 10,830 | 4.415 | 15,245 |
| United States |
5,306 | 5,174 | 772 | 5,946 |
| Canadá | 722 | 707 | 76 | 783 |
| Poland | 6,393 | 4,851 | 1,517 | 6,368 |
| Latin America | 4,035 | 4,283 | 449 | 4,732 |
| Rest | 15,135 | 2,868 | 1,285 | 4,153 |
| TOTAL | 89,968 | 54,163 | 25,956 | 80,119 |
102-10 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
| 2018 | 2019 | 2020 | |
|---|---|---|---|
| TOTAL Ferrovial | 103.18 | 117.05 | 129.08 |
| United States |
5.79 | 7.39 | 8.59 |
| Spain | 32.59 | 26.18 | 29.41 |
| Poland | 27.93 | 30.97 | 30.21 |
| United Kingdom |
23.78 | 21.76 | 25.59 |
| Chile | 15.12 | 15.09 | 16.34 |
102-39. PERCENTAGE INCREASE IN ANNUAL TOTAL COMPENSATION RATIO
| 2018 | 2019 | 2020 | |
|---|---|---|---|
| TOTAL Ferrovial | 20.07% | -15.91% | 0,00% |
| United States |
36.36% | -8.91% | -1.64% |
| Spain | 3.93% | 19.38% | -2.22% |
| Poland | 2.99% | -14.75% | 1.71% |
| United Kigdom |
2.68% | 7.81% | -2.26% |
| Chile | -15.54% | 5.41% | -0.07% |
102-41. PERCENTAGE OF EMPLOYEES COVERED BY COLLECTIVE BARGAINING AGREEMEN
| Total Worforce | Employees represented |
% 2020 | % 2019 | |
|---|---|---|---|---|
| Spain | 42,892 | 42,702 | 99.6% | 100.0% |
| United Kingdom |
15,245 | 3,882 | 25.5% | 26.3% |
| United States |
5,946 | 346 | 5.8% | 1.1% |
| Canada | 783 | 163 | 20.8% | 42.2% |
| Poland | 6,368 | 5,163 | 81.1% | 81.5% |
| Latin America | 4,732 | 3,168 | 66.9% | 72,5% |
| Rest* | 4,153 | 1,339 | 32.2% | 74.4% |
| TOTAL | 80,119 | 56,763 | 70.8% | 73.7% |
*The percentage of employees covered by collective bargaining agreements for the “rest” of the countries in 2019 has been recalculated to include Australia and exclude Latin America
201-1. DIRECT ECONOMIC VALUE GENERATED AND DISTRIBUTED
| ECONOMIC VALUE GENERATED (M€) | 2018 | 2019 | 2020 | |
|---|---|---|---|---|
| a) Revenues |
||||
| Sales revenue | 5,737 | 6,054 | 6,341 | |
| Other operating incom | 2 | 2 | 3 | |
| Financial income | 72 | 101 | 51 | |
| Disposals of fixed assets | 95 | 423 | 0 | |
| Income from companies accounted for by the equity method |
240 | 269 | -328 | |
| TOTAL | 6,146 | 6,849 | 6,067 | |
| ECONOMIC VALUE DISTRIBUTED (M€) |
2018 | 2019 | 2020 | |
|---|---|---|---|---|
| b) Consumption and expenses¹ | ||||
| Consumption | 985 | 949 | 1.005 | |
| Other operating expense | 3,324 | 3,959 | 3,815 | |
| c) Salaries and employee benefits |
||||
| Personnel expense | 945 | 1.027 | 1.115 | |
| d) Financial expenses and dividends |
||||
| Dividends to shareholder | 240 | 238 | 119 | |
| Treasury stock transactions ² | 280 | 282 | 259 | |
| Financial expenses | 287 | 328 | 327 | |
| e) Taxes | ||||
| Corporate income tax | 19 | 39 | -28 | |
| Total | 6,080 | 6,822 | 6,612 | |
| ECONOMIC VALUE RETAINED (M€) | 66 | 28 | -545 | |
(1) The Group’s social action expenses, recorded under Other Operating Expenses, together with the Foundation’s expenses, are detailed in the Community Chapter.
Foundation expenses are detailed in the Community Chapter.
(2) Capital reduction through cancellation of treasury stock. For further information, see note 5.1. see note 5.1. Shareholders’ Equity of the Consolidated Financial Statements.
207-4. TAX: COUNTRY-BY-COUNTRY REPORT
The following table reflects the amounts paid by Ferrovial in 2019 in euros.
| 2019 (M€) | ||||||||
|---|---|---|---|---|---|---|---|---|
| Jurisdiction(1) | Number of employees (2) |
Revenue(3) | Profit before income tax (3) |
Income tax (paid) (3) |
Income tax (accrued) (3) |
Tangible Assets Third parties Associated Total (3) |
||
| Third parties | Associated | Total | ||||||
| Germany | 1.030,00 | 48,50 | 0,00 | 48,50 | 5,21 | -1,24 | -1,21 | 0,09 |
| Saudi Arabia | 418,00 | 17,44 | 0,36 | 17,80 | -4,65 | 0,00 | 0,00 | 1,91 |
| Australia | 9.183,00 | 1.516,51 | 5,46 | 1.521,96 | -84,83 | 0,00 | 0,00 | 104,51 |
| Brazil | 2,00 | 1,07 | 0,00 | 1,07 | 0,67 | 0,52 | 0,24 | 0,00 |
| Canada | 730,00 | 459,14 | 2,37 | 461,50 | 326,96 | -7,21 | -7,40 | 14,81 |
| Chile | 3.920,00 | 272,28 | 0,96 | 273,25 | 21,71 | -11,70 | -16,80 | 78,27 |
| Colombia | 150,00 | 111,29 | 0,00 | 111,29 | 16,32 | 0,00 | -3,97 | 7 5,08 |
| United Arab Emirates |
1,00 | 0,00 | 0,00 | 0,00 | 0,16 | 0,00 | 0,00 | 0,00 |
| Slovakia | 240,00 | 286,07 | 0,04 | 286,11 | 0,59 | 0,00 | -0,69 | 10,22 |
| Spain | 36.732,00 | 3.520,11 | 248,91 | 3.769,02 | 647,29 | -15,62 | -19,80 | 1.431,42 |
| United States of America | 5.465,00 | 2.328,22 | 9,52 | 2.337,74 | -357,80 | 3,42 | -10,15 | 6.008,13 |
| France | 46,00 | 67,60 | 0,00 | 67,60 | 10,06 | 0,10 | -3,09 | 0,53 |
| Greece | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,01 |
| India | 0,00 | 0,01 | 0,00 | 0,01 | -0,17 | 0,00 | 0,00 | 0,00 |
| Ireland | 4,00 | 0,09 | 20,28 | 20,36 | 18,18 | -2,19 | -1,54 | 0,00 |
| Mauritius Islands | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 |
| Italy | 2,00 | 0,31 | 0,00 | 0,31 | -0,08 | 0,00 | 0,00 | 0,00 |
| Luxembourg | 0,00 | 3,09 | 0,02 | 3,11 | 2,49 | 0,00 | 0,06 | 0,00 |
| Lithuania | 45,00 | 35,41 | 0,00 | 35,41 | -17,95 | 0,00 | 0,00 | 2,43 |
| Malaysia | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 |
| Morocco | 1,00 | 0,00 | 0,00 | 0,00 | 2,25 | 0,00 | 0,00 | 0,00 |
| Mexico | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 |
| New Zealand | 1.436,00 | 257,67 | 0,00 | 257,67 | -0,77 | 0,00 | 0,34 | 9,34 |
| Oman | 27,00 | 1,59 | 0,12 | 1,71 | 3,19 | 0,00 | 0,00 | 0,00 |
| Netherlands | 16,00 | 158,58 | 30,02 | 188,61 | -265,12 | -1,40 | 0,00 | 0,00 |
| Peru | 8,00 | 0,01 | 0,00 | 0,01 | -2,80 | -0,04 | 0,00 | 0,14 |
| Poland | 6.292,00 | 1.738,96 | 0,55 | 1.739,52 | 85,87 | -13,60 | -39,01 | 582,40 |
| Portugal | 1.810,00 | 145,31 | 1,37 | 146,69 | -27,34 | -0,47 | -1,95 | 312,07 |
| Puerto Rico | 197,00 | 43,51 | 0,52 | 44,03 | 1,45 | 0,15 | -0,32 | 2,75 |
| Dominican Republic | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 |
| Qatar | 0,00 | 0,00 | 0,00 | 0,00 | 0,14 | -0,04 | 0,03 | 0,00 |
| United Kingdom |
14.937,00 | 3.181,09 | 19,54 | 3.200,62 | -934,25 | 1,67 | -3,19 | 136,96 |
| Singapore | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 | 0,00 |
| Tunisia | 1,00 | 0,00 | 0,00 | 0,00 | -0,02 | 0,00 | 0,00 | 0,00 |
| Total | 82.693,00 | 14.193,86 | 340,04 | 14.533,90 | -553,24 | -48,88 | -108,92 | 8.701,07 |
(1)In the Consolidated Financial Statements for the fiscal year 2019, Appendix II, the entities comprising the business group, their residence, as well as the activities they carry out are detailed.
(2)Regarding the number of employees, an estimate of the total number of employees has been made on a full-time equivalent basis. The information is homogeneous across jurisdictions and does not change from year to year.
(3) The average exchange rate for the year is used for revenues, income and taxes in foreign currencies and the year-end exchange rate for tangible assets
Income Tax: legal vs. effective rate by jurisdiction.
The following table reflects the qualitative explanation of the differences between the legal and effective income tax rates with respect to the
jurisdictions in which Ferrovial paid income tax in 2019. Unlike the previous table, the following table only reflects the amounts paid in income
tax by fully consolidated companies
|
2019 Income tax |
||||
|---|---|---|---|---|
| Germany | 25 % | 23 % | 2 % | Effective and nominal rates are aligned |
| Saudi Arabia | 20 % | 0 % | 20 % | Country in which losses have been generated so no tax is payable |
| Australia | 30 % | 0 % | 30 % | Country in which losses have been generated so no tax is payable |
| Brazil | 34 % | 35 % | -1 % | Effective and nominal rate are aligned. |
| Canada | 27 % | 2 % | 24 % | The effective rate is lower than the nominal rate due to the inclusion of exempt income (dividends) in its calculation base |
| Chile | 27 % | 77 % | -50 % | There are companies with profits (mainly FC Chile, SA) that are taxed on the amount accrued, and others that are in loss and do not accrue current tax expense. These profits and losses are not offset for tax purposes, causing the effective rate to be higher than the nominal rate |
| Colombia | 32 % | 24 % | 8 % | The effective rate is lower than the nominal rate because losses not capitalized in accounting are included in the calculation basis. |
| United Arab Emirates |
0 % | 0 % | 0 % | Effective and nominal rates are aligned. |
| Slovakia | 21 % | 117 % | -96 % | A company with a profit is taxed on the amount that has been accrued and another that is in loss and does not accrue current tax expense. These profits and losses are not offset for tax purposes, causing the effective rate to be higher than the nominal rate. |
| Spain | 25 % | 3 % | 22 % | The effective rate is lower than the statutory rate because it includes tax-exempt capital gains in its calculation base. |
| United States of America |
21%* | -3 % | 24 % | Despite the losses generated in the year, current tax is recorded for a project that is outside the tax consolidation (Denver Airport) and for the state tax payable |
| France | 32 % | 31 % | 1 % | Effective and nominal rates are aligned. |
| Greece | 29 % | 0% | 29 % | Despite the losses generated in the year, current tax is recorded for local taxes. |
| India | 30 % | 0 % | 30 % | Despite the losses generated in the year, current tax is recorded for local taxes. |
| Ireland | 13 % | 8 % | 5% | The effective rate is lower than the statutory rate due to the application of international double taxation tax credits. |
| Mauritius Islands | 15 % | 0 % | 15 % | Country in which no activity has been carried out |
| Italy | 28 % | 0 % | 28 % | A tax loss is incurred and therefore no current tax is generated. |
| Luxembourg | 25 % | -2 % | 27 % | A tax loss is incurred and no current tax is recorded. |
| Lithuania | 15 % | 0 % | 15 % | A credit to be recovered for corporate income tax is recorded |
| Malaysia | 24 % | 0 % | 24 % | Country in which no activity has been developed. |
| Morocco | 30 % | 0 % | 30 % | Country in which losses have been generated and therefore no tax is payable |
| Mexico | 30 % | 0 % | 30 % | Country in which no activity has been developed |
| New Zealand | 28 % | 44 % | -16 % | There are positive permanent differences that make the effective rate higher than the nominal rate. |
| Oman | 15 % | 0 % | 15 % | The effective rate is lower than the nominal rate due to the inclusion in its calculation base of losses from previous years |
| Netherlands | 25%** | 0 % | 25 % | A tax loss is incurred and no current tax provision is recorded. |
| Peru | 30 % | 0 % | 30 % | Country in which losses have been generated and therefore no tax is payable |
| Poland | 19 % | 45 % | -26 % | The effective rate is much higher than the nominal rate due to the inclusion in its calculation base of non-deductible expenses that constitute permanent differences. |
| Portugal | 23 % | 7 % | 30 % | Despite the pre-tax loss, a current tax expense is generated due to the limitation on the tax deductibility of financial expenses and the limitation on the use of tax losses. |
| Puerto Rico | 29 % | 22 % | 7 % | Effective and nominal rates are aligned |
| Dominican Republic |
27 % | 0 % | 27 % | A credit to be recovered for corporate income tax is recorded in the accounting records |
| Qatar | 10 % | -25 % | 35 % | Despite the overall losses generated in the year, current tax is recorded for companies that generate tax payable. |
| United Kingdom | 19 % | 0 % | 19 % | Country in which losses have been generated and therefore no tax payable is generated |
| Singapore | 17 % | 0 % | 17 % | Country in which no activity has been carried out. |
| Tunisia | 25 % | 0 % | 25 % | Country in which losses have been generated so that no tax payable is generated. |
* The federal/national tax rate is taken into consideration.
** The first 200,000 euros are taxed at a 20% tax rate.
301-1. MATERIALS USED BY WEIGHT OR VOLUME
| 2018 | 2019 | 2020 | |
|---|---|---|---|
| Paper (kg) | 616,444 | 706,053 | 325,575 |
| Wood (m³) | 48,131 | 31,861 | 14,832 |
| Bitumen (t) | 268,994 | 250,806 | 182,067 |
| Concrete (t) | 6,858,266 | 5,951,699 | 6,145,987 |
| Corrugated steel (t) | 162,558 | 179,861 | 173,370 |
301-2. RECYCLED MATERIALS CONSUMED
| 2018 | 2019 | 2020 | |
|---|---|---|---|
| Total recycled material (t) | 2,726,667 | 2,541,258 | 2,395,827 |
302-1. ENERGY CONSUMPTION WITHIN THE ORGANIZATION
| 2018 | 2019* | 2020 | ||
|---|---|---|---|---|
| Fuels used in Stationary and Mobile sources (total) (GJ) |
Diesel | 5,196,171 | 4,530,865 | 4,482,155 |
| Fuel | 98,703 | 137,269 | 100,551 | |
| Gasoline | 464,416 | 585,698 | 644,860 | |
| Natural Gas | 260,542 | 304,364 | 238,525 | |
| Coal | 570,558 | 361,701 | 268,802 | |
| Kerosene | 2,192 | 1,995 | 10,538 | |
| Propane | 27,732 | 22,793 | 20,972 | |
| LPG | 6,600 | 6,856 | 5,094 | |
| TOTAL | 6,626,913 | 5,951,540 | 5,771,497 | |
| Electricity Consumption from Non- Renewable Sources (GJ) |
Construction | 315,478 | 261,596 | 214,178 |
| Corporation | 342,664 | 4,239 | 3,837 | |
| Infrastructure | 4,073 | 61,360 | 18,901 | |
| Services | 61,702 | 188,480 | 130,909 | |
| Airports | 2 | 4 | 0 | |
| TOTAL | 723,920 | 515,679 | 367,825 | |
| Electricity Consumption from Renewable Sources (GJ) | Construction | 449,183 | 325,152 | 274,704 |
| Infrastructure | 4,oo9 | 4,058 | 28,356 | |
| Services | 227,537 | 438,589 | 469,646 | |
| Airports | 0 | 0 | 0 | |
| Corporation | 0 | 0 | 0 | |
| TOTAL | 680,730 | 767,799 | 772,706 |
*The 2019 figure has been restated due to recalculations arising during 2020 as a result of the energy review of the businesses.
| ENERGY PRODUCED (GJ) | 2018 | 2019 | 2020 |
|---|---|---|---|
| Electrical energy from biogas recovery | 329,473 | 207,541 | 378,689 |
| Thermal energy from biogas recovery | 261,406 | 31,349 | 62,459 |
| Electrical energy generated in Water Treatment Plants | 113,380 | 120,155 | 110,829 |
| Electrical energy generated in thermal drying plan | 352,379 | 285,752 | 368,328 |
| Energy generated in incineration plants | 598,836 | 763,254 | 734,500 |
| TOTAL | 1,655,474 | 1,408,051 | 1,654,806 |
302-2. ENERGY CONSUMPTION OUTSIDE OF THE ORGANIZATION
| 2018 | 2019 | 2020 | ||
|---|---|---|---|---|
| Consumption of energy acquired, by primary sources (GJ) |
Coal | 1,012,286 | 569,786 | 451,027 |
| Gasoil | 90,076 | 45,159 | 22,849 | |
| Gas | 457,585 | 260,090 | 179,877 | |
| Biomass | 101,151 | 78,764 | 63,144 | |
| Waste | 13,253 | 10,714 | 7,546 | |
| Others | 491,549 | 328,485 | 210,732 | |
| TOTAL | 2,165,902 | 328,485 | 934,815 |
303-1. WATER WITHDRAWAL BY SOURCE
303-5. WATER CONSUMPTION
| 2018 | 2019 * | 2020 | |
|---|---|---|---|
| Rainwater (m3) | 29,946 | 65,796 | 43,592 |
| Wastewater (m3) | 27,388 | 38,504 | 57,556 |
| Fresh surface water (m3) | 374,629 | 160,067 | 321,578 |
| Cadagua Fresh surface water (m3) | 141,545 | 2,414 | 23 |
| Pretreated water in Cadagua (m3) | 1,688,379 | 2,601,519 | 2,518,935 |
| Supply network (m3) | 3,339,185 | 3,268,861 | 2,956,215 |
| Groundwater (m3) | 233,881 | 338,730 | 184,178 |
| Recycled / reused water (m3) | 150,794 | 139,970 | 67,017 |
| TOTAL (m3) | 5,834,952 | 6,475,892 | 6,082,078 |
* In the 2019 data, the reporting criteria has been updated to homogenize the calculation with the rest of the plants.
304-4. SPECIES APPEARING ON THE IUCN RED LIST AND NATIONAL CONSERVATION LISTS WHOSE HABITATS ARE IN AREAS AFFECTED BY THE OPERATIONS
| Species (scientific name) | Common name | IUCN Red List | Protection figure |
|---|---|---|---|
|
Streptopelia turtur |
Tórtola Europea |
Vulnerable |
|
|
Myotis septentrionalis |
Northern Long-eared Bat |
Not threatened |
Federally listed as endangered and state-listed as endangered in Virginia |
| Alasmidonta heterodon | Dwarf Wedge Mussel | Vulnerable |
Placed on the United States’ Endangered Species List in 1988 |
|
Ptilimnium nodosum |
Harperella |
Rare and endangered (Little River Canyon National Park) |
|
|
Glyptemys insculpta |
Wood turtle |
Endangered |
|
|
Alasmidonta Varicosa |
Brook floater |
Vulnerable | |
|
Potamilus amphichaenus |
Texas heelsplitter | Endangered | |
|
Macrochelys temminckii |
Alligator snapping turtle |
Vulnerable | |
|
Dipodomys nitraoides nitraoides |
Tipton kangaroo rat |
Vulnerable | |
|
Ammospermophilus nelsoni |
San Joaquin antelope squirrel |
Endangered | |
|
Vulpes macrotis mutica |
San Joaquin kit fox |
Endangered | |
|
Gambelia sila |
Blunt Nose Lepoard Lizard |
Endangered | |
|
Hieraaetus fasciatus |
Aguila Bonelli |
Least Concern | Declining stocks, special surveillance measures on construction site |
|
Chioglossa lusitanica |
Golden-striped salamander |
Vulnerable | |
|
Rana iberica |
Iberian frog |
Vulnerable | |
|
Margaritifera margaritifera |
Freshwater pearl mussel |
Endangered | |
|
Cedrela odorata |
Spanish Cedar |
Vulnerable | Regional closure |
|
Anacardium excelsum |
Caracolí |
Regional closure |
|
|
Lecythis tuyrana |
Coco Cuna |
Vulnerable |
Regional closure |
|
Pseudophryne australis |
Red crowned toadlet |
Vulnerable |
|
|
Apium repens |
Creeping Marshwort |
Vulnerable | |
|
Mustela lutreola |
European mink |
Critically endangered |
|
|
Testudo graeca |
Common Tortoise |
Vulnerable | |
|
Otis tarda |
Great Bustard |
Vulnerable | |
|
Neophron percnopterus |
Egyptian vulture |
Endangered | |
|
Oxyura leucocephala |
White-headed duck |
Endangered | |
|
Elephas maximus |
Asian elephant |
Endangered |
305-1IRECT (SCOPE 1) GHG EMISSION (tCO2 eq)
| BY BUSINESS | 2009 (base-year) | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Budimex | 27,744 | 77,094 | 64,373 | 55,237 |
| Cadagua | 18,669 | 599 | 695 | 467 |
| Ferrovial Construction | 61,287 | 81,326 | 85,681 | 90,193 |
| Webber | 55,532 | 40,664 | 41,572 | 46,632 |
| Ferrovial Corporation | 375 | 260 | 219 | 151 |
| Cintra | 6,024 | 2,220 | 2,053 | 2,018 |
| Amey | 252,999 | 216,716 | 233,669 | 231,706 |
| Broadspectrum | 98,015 | 62,539 | 42,177 | 38,292 |
| Ferrovial Services | 452,448 | 350,891 | 444,391 | 352,793 |
| Transchile | 41 | 30 | 17 | 13 |
| TOTAL tCO2 eq | 973,135 | 832,339 | 914,847 | 817,503 |
| BY SOURCE | 2009 (base-year) | 2018 | 2019* | 2020 |
|---|---|---|---|---|
| Refrigerants | 185 | 136 | 128 | 136 |
| Stationary | 258,406 | 287,157 | 292,637 | 293,795 |
| Heating | 3,942 | 5,356 | 7,591 | 8,677 |
| Machinery | 254,464 | 281,801 | 285,046 | 285,118 |
| Mobile | 384,578 | 307,211 | 271,227 | 261,123 |
| Diffuse | 329,965 | 237,834 | 350,855 | 262,449 |
* The 2019 figure has been restated due to recalculations during 2020.
| Biogenic CO2 (tCO2/eq) | 2009 (base-year) | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Construction | 768 | 51,935 | 54,678 | 52,390 |
| Services | 729,776 | 736,842 | 733,912 | 941,046 |
| TOTAL | 730,544 | 788,777 | 788,590 | 993,436 |
305-2. ENERGY INDIRECT (SCOPE 2) GHG EMISSIONS (TCO2 EQ)
| BY BUSINESS | 2009 (base-year | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Budimex | 19,921 | 18,446 | 15,953 | 16,726 |
| Cadagua | 44,552 | 11,138 | 5,920 | 2,095 |
| Ferrovial Construction | 13,647 | 10,723 | 10,180 | 8,851 |
| Webber | 10,023 | 6,112 | 3,050 | 3,187 |
| Ferrovial Corporation | 521 | 345 | 360 | 365 |
| Cintra | 20,006 | 7,640 | 7,563 | 1,936 |
| Amey | 14,291 | 2,524 | 2,108 | 85 |
| Broadspectrum | 27,946 | 22,126 | 21,328 | 19,112 |
| Ferrovial Services | 15,049 | 12,376 | 2,070 | 274 |
| Transchile | 4 | 0 | 1 | 0 |
| TOTAL tCO2 eq | 165,959 | 91,430 | 68,533 | 52,632 |
GHG EMISSIONS (SCOPE 1 + SCOPE 2) (TCO2 EQ/M€)
| BY BUSINESS | 2009 (base-year) | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Construction | 46.22 | 47.59 | 43.20 | 43 |
| Corporation | 10.43 | 175.56 | 46.87 | 73 |
| Infrastructure | 60.26 | 17.36 | 15.61 | 10 |
| Services | 230.75 | 98.36 | 105.04 | 108 |
| Airports | 6.29 | 4.69 | 2.60 | 2 |
| Relative emissions (tCO2 eq/M€) | 162.36 | 74.13 | 75.55 | 7.,01 |
305-3. OTHER INDIRECT GHG EMISSIONS (SCOPE 3
The activities, products and services included in Scope 3 are as follows:
- Purchased goods and services: include emissions related to the life cycle of materials purchased by Ferrovial that have been used in products or services that the company offers. This is limited to emissions derived from the purchase of paper, wood, water and other relevant materials (concrete and asphalt) described in indicator 301-1. Data from subcontractors are not included.
- Capital goods: Includes all upstream emissions (i.e., cradle to gate) from the production of capital goods purchased or acquired by the company in the year, based on the information contained in the Consolidated Financial Statements.
- Fuel and energy related activities: this section includes the energy required to produce the fuels and electricity consumed by the copany and the loss of electricity in transportation.
- Upstream transportation and distribution: includes emissions from the transportation and distribution of the main products acquired during the year.
- Waste generated in operations: Emissions in this section are related to waste generated by the company’s activity that have been reported in 2019.
- Business travel: Includes emissions associated with business travel: train, plane and cabs reported by the main travel agency with which the
group works in Spain. - Employee commuting: Includes emissions from employee commuting from their homes to their workplaces at the head offices in Spain.
- Investments: Investments include emissions related to investments in British airports and toll roads over which the Group does not have operational control. All airports carry out independent external verification of their emissions. At the date of publication of this report, data
for 2020 is not available, so emissions for 2019 have been considered. - Use of sold products: Ferrovial calculates emissions from the use of land transport infrastructures managed by Cintra.
- End of life treatment of sold products: This category includes exclusively emissions from the disposal of waste generated at the end of the useful life of products sold by Ferrovial in the reporting year. Only emissions derived from products (wood, paper, asphalt and concrete)
reported in the Purchased goods and services category have been taken into consideration. - Upstream leased assets: Includes emissions related to the electricity consumption of those client buildings where Amey carries out maintenance and cleaning and manages consumption.
| 2012 (base-year) | 2018 | 2019 | 2020 | |
|---|---|---|---|---|
| Business travel | 6,606 | 8,334 | 7,232 | 1,769 |
| Capital Goods | 569,407 | 314,611 | 118,081 | 411,535 |
| Employee commuting | 792 | 1,821 | 1,763 | 1,645 |
| End of life treatment of sold products | 57,368 | 40,708 | 31,667 | 23,152 |
| Fuel and energy related activities | 191,927 | 178,902 | 136,217 | 121,965 |
| Purchased goods and services | 1,756,724 | 1,114,191 | 1,102,148 | 1,021,375 |
| Upstream leased | 1,405 | 0 | 0 | 0 |
| Upstream transportation and distribution | 560,420 | 498,210 | 477,374 | 475,720 |
| Use of sold product | 478,824 | 436,067 | 499,904 | 209,022 |
| Waste generated in operations | 191,948 | 140,808 | 141,389 | 125,990 |
| Investments | 1,364,386 | 995,582 | 864,782 | 774,570 |
| TOTAL | 5,179,806 | 3,729,233 | 3,380,558 | 3,166,769 |
305-5. REDUCTION OF GHG EMISSION
| 2018 | 2019* | 2020 | ||
|---|---|---|---|---|
| AVOIDED EMISSIONS FROM TRIAGE AND BIOGAS CAPTURE ACTIVITIES | ||||
| GHG avoided by triage activity (t CO2eq) | 659,059 | 899,577 | 827,682 | |
| GHG avoided by biogas capture (t CO2eq) | 815,778 | 778,721 | 872,055 | |
| GHG avoided from biogas capture at treatment plants (tCO2eq) | 420,360 | 422,724 | 398,678 | |
| AVOIDED EMISSIONS FROM ENERGY GENERATION | ||||
| In landfills (t CO2eq) | 29,626 | 18,760 | 35,490 | |
| In water treatment plants (t CO2eq) | 39,511 | 34,429 | 45,533 | |
| At waste incineration plants (t CO2e) | 47,087 | 54,191 | 47,567 | |
| AVOIDED EMISSIONS FROM THE PURCHASE OF ELECTRICITY FROM RENEWABLE SOURCES | ||||
| Electricity purchased from third parties (t CO2eq) | 51,107 | 55,891 | 62,184 | |
| TOTAL | 2,062,528 | 2,289,190 | 2,289,190 | |
*Data for 2019 has been recalculated to homogenize it with the conversion factors used in 2020.
305-7. NITROGEN OXIDES (NOX), SULFUR OXIDES (SOX), AND OTHER SIGNIFICANT AIR EMISSIONS
| NOx (t) | CO (t) | COVNM (t) | SOx (t) | Partículas (t) | |
|---|---|---|---|---|---|
| Emissions from boilers | 66.25 | 26.00 | 5.88 | 76.54 | 15.10 |
| Emissions caused by motor vehicles | 966.72 | 2,234 | 278.53 | 0 | 117.21 |
| Emissions caused by electricity | 44.02 | 17.09 | 0.34 | 68.93 | 3.75 |
| NOx (g/kg) | CO (g/kg) | COVNM (g/kg) | SOx (g/kg) | Partículas (g/kg) | |
| Emissions caused by mobile equipment used in construction works | 1,372.86 | 313.67 | 97.24 | 0 | 110.88 |
Data for 2019 can be found in the 2019 Integrated Annual Report, page 127.
306-2. WASTE BY TYPE AND DISPOSAL METHOD
| 2018 | 2019 | 2020 | |
|---|---|---|---|
| Construction and demolition waste produced (m³) | 2,344,504 | 1,466,767 | 7,569,434 |
| Total excavation soil (m³) | 19,363,051 | 21,648,346 | 21,291,070 |
| Reused topsoil (m (m³) | 922,936 | 2,894,515 | 1,576,854 |
| Material sent to landfill outside the construction site (m³) | 528,749 | 762,077 | 931,948 |
| Material reused on site (m³) | 14,336,346 | 12,059,463 | 15,889,312 |
| Material sent to another construction site or authorized landfill (m3) |
3,575,020 | 5,932,290 | 2,892,956 |
| Non-hazardous waste produced (t)* (m3) | 450,707 | 442,691 | 357,901 |
| Total hazardous waste produced (t)* (t) | 18,419 | 37,973 | 20,002 |
*There has been a change in reporting criteria from reporting waste managed to reporting waste produced to avoid confusion for the reader.
CRE8. TYPE AND NUMBER OF SUSTAINABILITY CERTIFICATIONS, RATINGS AND LABELING SYSTEMS FOR NEW CONSTRUCTION, MANAGEMENT, OCCUPANCY AND RECONSTRUCTION
Sustainable building certifications obtained in Spain and Poland
| Description | Area | Class |
|---|---|---|
|
Fractal Rivas Hotel Building |
Spain |
BREEAM BUENO |
|
Claudio Coello office refurbishment |
Spain | LEED |
|
Plataf Logist Marchamalo 2f-2 |
Spain | LEED |
|
Puerto Seco UTE |
Spain | BREEAM Muy BUENO |
|
58 Vdas. Paseo De La Habana |
Spain | BREEAM BUENO |
| Office Building Las Tablas | Spain |
LEED Platino y WELL Platino |
|
Acond. Office Building Velázquez 88 Madri |
Spain |
LEED Platino |
|
Office Building Citrus Pozuelo |
Spain |
LEED Platino |
|
C.I.T. Metro De Madrid |
Spain | VERDE |
|
Nave B Pulsar in Torija |
Spain |
LEED Plata |
|
Nave Pulsar in Torija |
Spain |
LEED Plata |
|
Office Building Las Tabla |
Spain |
LEED Oro |
|
Power & Control Bldg. |
Castilla La Mancha |
B |
|
Warehouse B Pulsar in Torija |
Castilla La Mancha |
A |
|
Warehouse Pulsar in Torija |
Castilla La Mancha |
O |
|
26 Single-Family Dwellings. R. Conquistadores Badajoz |
Extremadura |
A |
|
Rectorate CEU Valencia |
Valencia |
B |
|
Commercial and office building IKEA Poznań |
Poland |
BREEAM |
|
Construction of the Monopolis complex in Łód |
Poland |
BREEAM |
401-1. NEW EMPLOYEE HIRES AND EMPLOYEE TURNOVER
Throughout 2020, the total number of new hires was 33,616 (30,305 in 2019), which corresponds to a total hiring rate of 41.96% (33.68 in
2019), with respect to the headcount at year-end. The breakdown by country, gender and age is as follow:
| <30 | 30 – 45 | >45 | Subtotal | TOTAL | ||
|---|---|---|---|---|---|---|
| Spain | Men | 2,165 | 2,460 | 1,821 | 6,446 | 14,441 |
| Women | 2,261 | 2,713 | 3,021 | 7,995 | ||
| United Kingdom | Men | 646 | 750 | 398 | 1,794 | 2,487 |
| Women | 248 | 267 | 178 | 693 | ||
| USA | Men | 1,649 | 1,962 | 1,583 | 5,194 | 5,876 |
| Women | 196 | 315 | 171 | 682 | ||
| Canada | Men | 111 | 191 | 356 | 658 | 721 |
| Women | 11 | 29 | 23 | 63 | ||
| Poland | Men | 261 | 336 | 166 | 763 | 976 |
| Women | 111 | 80 | 13 | 204 | ||
| Latin America | Men | 1,665 | 2,431 | 1,655 | 5,751 | 6,072 |
| Women | 114 | 159 | 48 | 321 | ||
| Rest of countries | Men | 581 | 740 | 624 | 1,945 | 3,052 |
| Women | 276 | 352 | 479 | 1,107 | ||
| TOTAL | Men | 7,078 | 8,870 | 6,603 | 22,551 | 33,616 |
| Women | 3,217 | 3,915 | 3,933 | 11,065 | ||
| Subtotal | 10,295 | 12,785 | 10,536 |
The voluntary and involuntary turnover rate for 2020, broken down by professional category, age and gender, is as follow:
| 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 | 0.01 | 0.02 |
| Senior Manager | 0.00 | 0.02 | 0.03 | 0.00 | 0.01 | 0.01 | 0.00 | 0.01 | 0.03 | 0.00 | 0.00 | 0.01 | 0.00 | 0.03 | 0.05 | 0.00 | 0.01 | 0.01 | 0.11 |
| Manager | 0.02 | 0.17 | 0.12 | 0.01 | 0.04 | 0.01 | 0.00 | 0.04 | 0.05 | 0.00 | 0.01 | 0.01 | 0.02 | 0.21 | 0.17 | 0.01 | 0.06 | 0.02 | 0.49 |
| Senior Professional/Supervisor | 0.02 | 0.13 | 0.11 | 0.02 | 0.05 | 0.02 | 0.01 | 0.07 | 0.07 | 0.00 | 0.03 | 0.02 | 0.03 | 0.20 | 0.17 | 0.02 | 0.08 | 0.03 | 0.54 |
| Professional | 0.22 | 0.35 | 0.31 | 0.09 | 0.12 | 0.05 | 0.05 | 0.12 | 0.09 | 0.02 | 0.03 | 0.02 | 0.27 | 0.47 | 0.41 | 0.11 | 0.15 | 0.06 | 1.47 |
| Administratives/Support | 0.05 | 0.03 | 0.01 | 0.06 | 0.05 | 0.04 | 0.05 | 0.03 | 0.02 | 0.03 | 0.03 | 0.03 | 0.10 | 0.07 | 0.03 | 0.09 | 0.08 | 0.08 | 0.45 |
| Blue Collar | 1.59 | 1.87 | 1.26 | 0.67 | 0.46 | 0.54 | 1.93 | 2.97 | 2.44 | 0.18 | 0.29 | 0.30 | 3.52 | 4.84 | 3.69 | 0.85 | 0.76 | 0.85 | 14.50 |
| Subtotal by age | 1.90 | 2.58 | 1.84 | 0.85 | 0.74 | 0.67 | 2.04 | 3.24 | 2.69 | 0.24 | 0.40 | 0.39 | 3.94 | 5.82 | 4.54 | 1.08 | 1.14 | 1.06 | 17.58 |
| Subtotal by gender | 6.32 | 2.26 | 7.9 | 1.03 | 14.30 | 3.28 | |||||||||||||
| Total | 8,57 | 9,01 | 17,58 | ||||||||||||||||
* The total number of involuntary departures in 2020 was 7,593 (5,059 in 2019).
Note: turnover data are given as ratios only, as they reliably represent the variations in headcount during the yea
403-1. WORKER REPRESENTATION ON FORMAL WORKER-COMPANY HEALTH AND SAFETY COMMITTEE
| 2018 | 2019 | 2020 | |
|---|---|---|---|
|
Percentage of employees represented in Health and Safety Committees (%) |
70.2 | 70.3 | 67.5 |
403-8 WORKERS COVERED BY AN OCCUPATIONAL HEALTH AND SAFETY MANAGEMENT SYSTEM
| 2018 | 2019 | 2020 | |
|---|---|---|---|
|
Workers covered by an occupational health and safety management system (%) |
94 | 92 | 93 |
403-10 OCCUPATIONAL DISEASES AND ILLNESSE
| 2018 | 2019 | 2020 | |
|---|---|---|---|
| Frequency rate | 12.2 | 10.3 | 9.2 |
| Frequency rate (including contractors | 10.0 | 7.7 | 7.2 |
| Total recordable frequency rate | 2.7 | 2.32 | 2.0 |
| Total recordable frequency rate (including contractors) | 2.18 | 1.75 | 1.6 |
| Severity rate | 0.29 | 0.25 | 0.26 |
| Absenteeism rat | 5.66 | 5.54 | 7.13 |
| Occupational Disease Frequency Rat | 0.44 | 0.39 | 0.26 |
| Absenteeism hours (mill.hours) | 9.77 | 9.52 | 10.85 |
| Number of employee fatalitie | 5 | 5 | 2 |
| Number of contractor fatalities | 3 | 9 | 3 |
Frequency rate = number of accidents with sick leave*1,000,000/No. hours worked
Total recordable frequency rate = total recordable accidents*200,000/No. hours worked
Severity rate = number of lost days*1,000,000/no. hours worked
Note: accident rate data are given as ratios only, as they are a reliable representation of the company’s health and safety performance.
404-1 AVERAGE TOTAL TRAINING HOURS AND AVERAGE NUMBER OF TRAINING HOURS PER YEAR PER EMPLOYEE
| 2020 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 2019 | Executives | Senior Manager | Manager | Senior Professional / Supervisor | Professional | Administratives / Support | Blue Collar | Subtotal | Hours per employee and category 2020 | Hours per division 2020 | |||
| Corporation | 34.342 | 19,453 | Men | 532 | 714 | 669 | 2,363 | 370 | 163 | 34 | 4,845 | 16.9 | 19.0 | |
|
Women |
58 | 738 | 617 | 2,089 | 313 | 541 | 9 | 4,365 | 22.0 | |||||
| Toll Roads | 21,087 | 21,087 | Men | 77 | 338 | 1,132 | 813 | 1,545 | 30 | 1,021 | 4,954 | 15.1 | 14.1 | |
|
Women |
8 | 176 | 243 | 525 | 539 | 274 | 102 | 1,865 | 12.0 | |||||
| Airports | 1,941 | 2,518 | Men | 12 | 148 | 151 | 21 | – | – | – | 332 | 10.4 | 12.9 | |
|
Women |
5 | 119 | 56 | 38 | 15 | 65 | – | 298 | 17.5 | |||||
| Construction | 193,476 | 200,800 | Men | 1,691 | 10,486 | 40,306 | 26,956 | 31,420 | 5,738 | 23,008 | 139,605 | 9.5 | 10.7 | |
|
Women |
204 | 1,680 | 10,446 | 11,313 | 15,744 | 7,148 | 463 | 46,997 | 16.4 | |||||
| Services | 606,195 | 648,730 | Men | 834 | 3,453 | 14,147 | 25,362 | 28,528 | 2,082 | 294,329 | 368,735 | 9.5 | 8.4 | |
|
Women |
234 | 1,327 | 7,594 |
10,346 | 8,380 | 6,705 | 114,607 | 149,191 | 6.6 | |||||
| Subtotal | Men | 3,146 | 15,138 | 56,405 | 55,515 | 61,863 | 8,012 | 318,391 | 518,470 | 9.6 | 9.0 | |||
| Women | 507 | 4,038 | 18,955 | 24,310 | 24,991 | 14,733 | 115,181 | 202,716 | 7.8 | |||||
| TOTAL | 857,041 | 857,041 | 721,186 | 40.78 | ||||||||||
204
405-1. DIVERSITY IN GOVERNING BODIES AND EMPLOYEES
| 2020 |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Executives | Senior Manager | Manager | Senior Professional / Supervisor | Professional | Administratives / Support | Blue Collar | Subtotal | Total | ||
| Corporation | Men | 49 | 41 | 35 | 107 | 16 | 3 | 35 | 286 | 484 |
| Women | 6 | 20 | 27 | 92 | 12 | 24 | 17 | 198 | ||
| Toll Roads | Men | 0 | 37 | 54 | 48 | 42 | 6 | 141 | 328 | 483 |
| Women | 0 | 7 | 15 | 32 | 37 | 19 | 45 | 155 | ||
| Airports | Men | 1 | 11 | 14 | 6 | 0 | 0 | 0 | 32 | 49 |
| Women | 0 | 3 | 1 | 5 | 3 | 5 | 0 | 17 | ||
| Construction | Men | 70 | 290 | 1,722 | 1,372 | 2,660 | 527 | 7,996 | 14,637 | 17,499 |
| Women | 5 | 29 | 388 | 509 | 1,194 | 531 | 206 | 2,862 | ||
| Services | Men | 23 | 127 | 1,288 | 1.391 | 3,842 | 374 | 31,836 | 38,880 | 61,604 |
| Women | 5 | 31 | 346 | 519 | 1,402 | 868 | 19,554 | 22,724 | ||
| TOTAL | Men | 143 | 506 | 3,113 | 2,924 | 6,560 | 910 | 40,008 | 54,163 | 80,119 |
| Women | 16 | 90 | 777 | 1,157 | 2,648 | 1.447 | 19,822 | 25,956 | ||
Data for 2019 can be found in the 2019 Integrated Annual Report, page 129.
405-2 RATIO OF BASIC SALARY AND REMUNERATION OF WOMEN VS. MEN
Gender pay gap 2020 (expressed in local currency).
| Country | Gender | % de empleados | Median salary | Average salary | % gender pay gap (median salary) 2020 |
% gender pay gap (average salary) 2020 |
% gender pay gap (median salary) 2019 |
%gender pay gap (average salary) 2019 |
|---|---|---|---|---|---|---|---|---|
| Spain | Mujeres | 40% | 23,945 € | 27,861 € | 17.39% | 15.59% | 16.93% | 15.50% |
| Hombres | 60% | 28.,986 € | 33,006 € | |||||
| United Kingdom | Mujeres | 29% | £22,494 | £30,724 | 32.61% | 24.56% | 28.95% | 25.60% |
| Hombres | 71% | £33,379 | £40,725 | |||||
| USA and Canada | Mujeres | 12% | $61,227 | $69,424 | -2.00% | 3.12% | -1.70% | -1.76% |
| Hombres | 88% | $60,026 | $71,662 | |||||
| Poland | Mujeres | 24% | 83,310 zł | 106,757 zł | -5.69% | 10.27% | 10.65% | 12.55% |
| Hombres | 76% | 78,824 zł | 118,970 zł | |||||
| Chile | Mujeres | 8% | 13,076,366 CLP | 16,380,451 CLP | -6.35% | -8.33% | 1.19% | 3.23% |
| Hombres | 92% | 12,295,759 CLP | 15,120,235 CLP | |||||
| Portugal | Mujeres | 50% | 10,135 € | 11,548 € | 13.41% | 17.68% | 8,16% | 11.90% |
| Hombres | 50% | 11,705 € | 14,029 € |
Average salaries (base salary + salary supplements) by professional category (expressed in local currency):
| Country | Professional Category | Gender | % employees | Average salary |
|---|---|---|---|---|
| Spain | Executives/Senior Manager/Manager | Women | 20% |
75,795 € |
| Men | 80% |
103,095 € |
||
| Senior Professionals/Supervisors | Women | 34% |
43,033 € |
|
| Men | 66% |
50,071 € |
||
| Professionals | Women | 27% |
34,495 € |
|
| Men | 73% |
43,727 € |
||
| Administratives/Support | Women | 44% |
30,680 € |
|
| Men | 56% |
32,623 € |
||
| Blue Collars | Women | 42% |
26,535 € |
|
| Men | 58% |
28,888 € |
||
| TOTAL 2020 | Women | 41% |
27,861 € |
|
| Men | 60% |
33,006 € |
||
| TOTAL 2019 | Women | 39% |
27,464 € |
|
| Men | 61% |
32,503 € |
||
| United Kingdom |
Executives/Senior Manager/Manager | Women | 18% |
£82,360 |
| Men | 82% |
£90,609 |
||
| Senior Professionals/Supervisors | Women | 23% |
£40,941 |
|
| Men | 77% |
£47,657 |
||
| Professionals | Women | 26% |
£35,193 |
|
| Men | 74% |
£41,512 |
||
| Administratives/Support | Women | 70% |
£23,075 |
|
| Men | 30% |
£24,695 |
||
| Blue Collars | Women | 29% |
£22,015 |
|
| Men | 71% |
£27,286 |
||
| TOTAL 2020 | Women | 29% |
£30,724 |
|
| Men | 71% |
£40,725 |
||
| TOTAL 2019 | Women | 27% |
£26,354 |
|
| Men | 73% |
£35,422 |
||
| USA and Canada | Executives/Senior Manager/Manager | Women | 28% | $138,617 |
| Men | 72% | $192,068 | ||
| Senior Professionals/Supervisors | Women | 19% | $95,648 | |
| Men | 81% | $118,280 | ||
| Professionals | Women | 19% | $75,199 | |
| Men | 82% | $88,308 | ||
| Administratives/Support | Women | 62% | $53,773 | |
| Men | 39% | $76,797 | ||
| Blue Collars | Women | 7% | $52,421 | |
| Men | 93% | $59,743 | ||
| TOTAL 2020 | Women | 12% | $69,424 | |
| Men | 88% | $71,662 | ||
| TOTAL 2019 | Women | 13% | $67,475 | |
| Men | 87% | $66,311 | ||
| Poland | Executives/Senior Manager/Manager | Women | 18% |
174,38 zł |
| Men | 82% |
200,796 zł |
||
| Senior Professionals/Supervisors | Women | 39% |
135,054 zł |
|
| Men | 61% |
158,949 zł |
||
| Professionals | Women | 47% |
84,429 zł |
|
| Men | 53% |
89,822 zł |
||
| Administratives/Support | Women | 72% |
61,127 zł |
|
| Men | 29% |
71,093 zł |
||
| Blue Collars | Women | 1% |
46,485 zł |
|
| Men | 99% |
60,506 zł |
||
| TOTAL 2020 | Women | 24% |
106,757 zł |
|
| Men | 76% |
118,970 zł |
||
| TOTAL 2019 | Women | 23% |
101,465 zł |
|
| Men | 77% |
116,029 zł |
||
| Chile | Executives/Senior Manager/Manager | Women | 23% |
50,849,773 CLP |
| Men | 77% |
72,902,798 CLP |
||
| Senior Professionals/Supervisors | Women | 17% |
28,451,819 CLP |
|
| Men | 83% |
36,453,011 CLP |
||
| Professionals | Women | 20% |
19,548,974 CLP |
|
| Men | 80% |
24,425,478 CLP |
||
| Administratives/Support | Women | 41% |
12,908,606 CLP |
|
| Men | 59% |
14,208,108 CLP |
||
| Blue Collars | Women | 6% |
10,571,875 CLP |
|
| Men | 94% |
11,725,925 CLP |
||
| TOTAL 2020 | Women | 8% |
16,380,451 CLP |
|
| Men | 92% |
15,120,235 CLP |
||
| TOTAL 2019 | Women | 10% |
14,349,130 CLP |
|
| Men | 90% |
14,828,112 CLP |
||
| Portugal | Executives/Senior Manager/Manager | Women | 32% |
60,862 € |
| Men | 68% |
73,182 € |
||
| Senior Professionals/Supervisors | Women | 36% |
39,161 € |
|
| Men | 64% |
50,085 € |
||
| Professionals | Women | 24% |
19,041 € |
|
| Men | 76% |
20,499 € |
||
| Administratives/Support | Women | 58% |
16,013 € |
|
| Men | 42% |
16,853 € |
||
| Blue Collars | Women | 54% |
10,266 € |
|
| Men | 46% |
10,705 € |
||
| TOTAL 2020 | Women | 50% |
11,548 € |
|
| Men | 50% |
14,029 € |
||
| TOTAL 2019 | Women | 47% |
9,343 € |
|
| Men | 53% |
10,605 € |
0,