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Physical climate risk for PwC

Impacts of climate change are already being felt across the world. We are seeing the effects of severe weather patterns all too clearly, from floods to wildfires. There is now an urgent need to adapt, to prepare for the physical impacts of severe weather patterns we are already experiencing which will continue to deteriorate.

What are we doing to adapt?

We have been on a journey to both identify the physical impacts of climate change on our own business, and put in place measures to manage those impacts. We use physical risk analysis (see below) to identify locations that are at a higher risk. We then use that to develop plans to adapt and make our business more resilient across our global network.

Explore where we are on our journey in the interactive experience below. We share examples of the changes we are making across our network, and illustrate how we are supporting clients and communities to build greater resilience to the effects of climate change. Further detail can be read in our 2024 PwC Network Environment Report.

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Building resilience to climate change

Launch the experience to learn about how we are building resilience across our own network and supporting clients and communities to do the same.

Our physical risk analysis

Our physical risk analysis has informed the actions we are taking to enhance the resilience of our own operations. Our physical risk map below contains a selection of the climate data which we used for that analysis. 

The data shows how selected climate hazards are expected to evolve through to 2050 under a ‘no mitigation’ >4°C scenario1 for PwC office locations with more than 1,000 employees (as of June 2022). It is important to emphasise that the climate hazard data only reflects the severity level of a hazard for a particular location. The data can be used to inform an assessment of the risk to the business.

We continue to use this analysis to inform our business risk assessments and business decisions. We recommend that other companies do the same. To learn more about how we help our clients understand and manage these types of issues, see here.

¹SSP5-8.5. SSP stands for Shared Socioeconomic Pathways

 

Confirmation

Note: You may need to scroll down within this box to acknowledge these terms

The map is intended to illustrate how certain climate hazards may be relevant for certain PwC office locations. It is not intended to be a comprehensive analysis for all hazards for all of our locations. It is important to understand the data and to be aware of its limitations. The following guidance is therefore intended to support your understanding:

  • The data is only for the larger offices within the PwC network.
  • The data is only for a subset of climate hazards (Heat, Wet Bulb Globe Thermometer, Drought and Precipitation) and does not include data relating to other hazards (e.g. Flood, Wildfire, Wind, Cold, Hail).
  • The data is based on a ‘no mitigation’ >4°C scenario (SSP5-8.5).
  • The data is specific to our locations, and should not be considered to reflect trends for the wider regions in which they are located.
  • The definition for each hazard is key to understanding what the data represents. Explore these definitions within the tool.
  • The data doesn’t reflect what may happen when hazards combine (e.g. where heat, drought and wildfire occur in combination).
  • The data only represents the potential severity level of a hazard for a location. It does not reflect the vulnerability of that location to the hazard. The data therefore does not constitute a business risk assessment.

Tick the box to confirm you have read and understood what the data represents, how it should be interpreted, and how it might help inform decision making.

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All data presented is based on a 'no mitigation' (>4°C) scenario.
Other metrics such as flood, wildfire, hail, cold and wind events form part of our dataset but have not been included for the purpose of this illustrative map. Data source: Jupiter ClimateScore™ Global, 2022
495 Amsterdam Westgate, Thomas R. Malthusstraat 5, 1066 JR, Netherlands Amsterdam Netherlands 3767 52.742566 57.901035 0.879 0.593 0 0 57.208 0.944 0.766 0 0.002 60.369 0.924 0.833 0 0.004 61.376 0.926 0.912 0 0.007 62.446 0.934 1.032 0 0.013 65.542
283 270 Kifissias Avenue, Halandri, GR-152 32, Greece Athens Greece 1622 48.9 58.035168 0.131 39.95 0 0.042 137.399 0.147 49.713 0 0.943 147.546 0.159 53.031 0 1.678 146.69 0.18 58.027 0 3.308 148.626 0.195 63.576 0 5.924 150.698
807 1075 Peachtree Street NE, Atlanta, Georgia 30309, United States Atlanta United States 1990 83.3 55.413797 0.283 28.595 0 2.169 194.361 0.255 35.24 0 8.067 214.499 0.255 37.365 0 12.052 211.189 0.263 41.188 0 18.745 214.351 0.248 45.986 0 27.833 218.632
507 PwC Tower, Level 27, 15 Customs Street West, Auckland 1010, New Zealand Auckland New Zealand 1126 0.435832 14.7 0.102 0.031 0 0 130.344 0.104 0.031 0 0 140.519 0.104 0.031 0 0 144.469 0.102 0.031 0 0 149.871 0.1 0.032 0 0 153.461
730 15th Floor, Bangkok City Tower, 179/74-80 South Sathorn Road, Bangkok, 10120, Thailand Bangkok Thailand 1774 24.35 44.2 0.79 74.065 0 90.039 217.761 0.786 93.947 0 151.853 244.599 0.753 107.767 0 177.693 244.5 0.73 126.261 0 208.829 248.703 0.712 149.603 0 237.298 257.386
57 Alameda Mamoré, 989, conjuntos 2.001, 2.002, 2.003 do 20ª andar, 2.101, 2.102, 2.103 do 21º andar, 2.301, 2.302, 2.303 do 23º andar, Edifício Crystal Tower, Bairro Alphaville Industrial Barueri Brazil 1131 71.4 23.1 0.261 2.777 0 0.057 209.142 0.252 3.677 0 0.204 215.765 0.243 4.449 0 0.331 222.829 0.243 5.518 0 0.713 230.551 0.236 6.993 0 1.838 241.08
134 26/F Office Tower A, Beijing Fortune Plaza, 7 Dongsanhuan Zhong Road, Beijing, 100020, China Beijing China 5485 19.4 60.411087 1.118 35.494 0 5.392 269.453 0.866 40.847 0 12.023 300.578 0.859 43.803 0 15.84 304.23 0.856 47.135 0 21.288 308.039 0.744 51.292 0 28.711 321.855
944 Belfast Merchant Square, 20-26 Wellington Place, Belfast, BT1 6GE, United Kingdom Belfast United Kingdom 3388 76.103975 66.29816143 0.068 0.005 0 0 65.97 0.066 0.006 0 0 70.635 0.067 0.006 0 0 71.978 0.065 0.006 0 0 74.321 0.066 0.007 0 0 77.027
306 Pine Valley, 4th Floor, Embassy Golf Links Business Park, Challaghatta Village, Bangalore, 560071, Karnataka, India Bengaluru India 4816 31.68540983 43.914687 4.215 23.319 0 0 159.198 3.781 25.973 0 0.134 168.178 3.649 27.809 0 0.241 167.752 3.463 31.373 0 0.49 172.584 3.202 37.049 0 1.334 174.247
274 Kapelle-Ufer 4 , 10117 Berlin , Germany Berlin Germany 1660 33.070888 58.014742 0.881 4.561 0 0.004 79.783 0.932 6.168 0 0.035 87.514 0.919 6.735 0 0.076 87.036 0.885 7.502 0 0.143 88.525 0.9 8.581 0 0.283 89.587
767 One Chamberlain Square, Birmingham, B3 3AX Birmingham United Kingdom 1964 67.845339 58.9878 0.932 0.406 0 0 60.379 0.931 0.498 0 0 65.365 0.934 0.56 0 0 65.997 0.951 0.651 0 0.001 68.298 0.942 0.777 0 0.004 70.777
893 Calle 100 No 11-A-35, 5th. Floor, Bogotá, Cudinamarca, Colombia Bogotá Colombia 1019 79.8 39.7 0.009 0 0 0 124.461 0.009 0 0 0 143.287 0.009 0 0 0 145.067 0.009 0 0 0 149.542 0.009 0 0 0 154.697
865 101 Seaport Boulevard, Boston, Massachusetts 02210, United States Boston United States 3223 78.781 60.71754 1.303 7.849 0 0.176 173.932 1.298 10.029 0 0.651 197.681 1.282 10.764 0 0.955 202.56 1.261 12.251 0 1.74 212.381 1.224 13.864 0 3.228 218.804
889 Culliganlaan 5 ,  B-1831 Diegem ,  Belgium Brussels Belgium 1392 53.858274 53.002069 1.02 1.772 0 0.002 69.04 1.065 2.527 0 0.017 72.862 1.054 2.854 0 0.036 74.451 1.061 3.293 0 0.07 75.117 1.082 3.889 0 0.148 78.767
6 Edificio Bouchard Plaza, Bouchard 557, Ciudad de Buenos Aires, C1106ABG, Argentina Buenos Aires Argentina 1657 75 15.6 0.51 5.968 0 0.322 184.545 0.475 6.639 0 0.686 201.062 0.472 6.785 0 0.878 205.18 0.431 7.295 0 1.279 209.763 0.404 8.22 0 2.009 216.533
123 Unit 04, 26/F Tower 1, Raffles City Chengdu, No. 3 Section 4 South Renmin Road, Chengdu, 610041, China Chengdu China 2185 23.528831 54.461908 0.069 20.597 0 4.335 335.804 0.068 25.766 0 9.166 383.695 0.068 27.807 0 12.32 392.565 0.068 30.968 0 17.689 400.083 0.067 34.88 0 24.404 415.638
861 One North Wacker Drive, Chicago, Illinois 60606, United States Chicago United States 4036 84.3 61 4.865 14.405 0 1.942 125.943 5.066 18.039 0 4.342 140.913 4.931 19.232 0 6.099 142.462 4.923 21.381 0 9.418 143.236 4.933 23.785 0 13.514 146.324
166 Strandvejen 44, Hellerup, DK 2900, Denmark Copenhagen Denmark 1709 36.319337 67.996113 0.712 1.17 0 0 85.147 0.737 1.564 0 0.002 91.359 0.733 1.699 0 0.003 92.538 0.718 1.861 0 0.006 95.546 0.712 2.063 0 0.016 97.998
801 2121 North Pearl Street, Suite 2000, Dallas, Texas 75201, United States Dallas United States 2696 87.3 54 0.219 52.063 0 12.175 200.378 0.218 65.828 0 32.443 209.068 0.202 69.287 0 39.425 218.144 0.196 74.851 0 50.952 223.275 0.193 82.289 0 65.568 234.621
342 Building 10, Tower C, 18th Floor, DLF Cyber City, Gurugram - 122002, Haryana, India Delhi India 2901 32.16085572 52.139116 3.06 112.783 0 78.289 273.897 3.094 117.91 0 103.753 292.91 2.914 122.623 0 111.004 302.551 2.825 131.289 0 121.846 314.503 2.65 143.592 0 133.636 327.996
750 Emaar Square, Building 5, Dubai, United Arab Emirates Dubai United Arab Emirates 1873 38.977562 50.400409 4.848 147.674 0 108.896 145.59 5.706 169.053 0 128.829 180.148 4.994 177.541 0 136.253 184.873 4.042 189.206 0 144.427 187.167 4.099 201.547 0 153.663 189.126
362 One Spencer Dock, North Wall Quay, Dublin, 1, Ireland Dublin Ireland 2666 78.19953 61.524793 0.068 0.028 0 0 79.051 0.066 0.03 0 0 87.51 0.067 0.031 0 0 88.632 0.065 0.033 0 0 90.706 0.066 0.037 0 0 93.079
261 Moskauer Straße 19 , 40227 Düsseldorf , Germany Düsseldorf Germany 3264 46.123304 58.206822 0.938 3.337 0 0.004 75.86 1.045 4.328 0 0.028 80.552 1.044 4.717 0 0.057 80.672 1.048 5.282 0 0.111 81.194 1.06 6.062 0 0.228 84.401
853 400 Campus Drive, Florham Park, New Jersey 7932, United States Florham Park United States 2111 80.2 60 0.379 13.859 0 0.986 209.323 0.368 17.462 0 2.976 235.556 0.361 18.695 0 4.287 244.49 0.352 21.141 0 6.786 247.181 0.338 23.94 0 10.715 249.858
254 Friedrich-Ebert-Anlage 35-37, 60327 Frankfurt/Main, Germany Frankfurt Germany 3771 44.545002 53.52104 0.587 6.341 0 0.009 70.16 0.618 8.168 0 0.056 75.281 0.623 8.872 0 0.105 74.736 0.641 9.855 0 0.19 75.638 0.641 11.217 0 0.402 78.645
113 18/F PricewaterhouseCoopers Center, 10 Zhujiang Xi Road, Guangzhou, 510623, China Guangzhou China 1328 20.53646656 50 0.505 34.785 0 59.614 306.928 0.494 41.471 0 86.419 347.433 0.509 45.073 0 95.85 350.644 0.522 50.058 0 108.819 357.572 0.497 56.864 0 121.92 364.447
277 Alsterufer 1 , 20354 Hamburg , Germany Hamburg Germany 1345 40.126591 62.655872 0.747 1.967 0 0.001 84.43 0.79 2.779 0 0.013 88.49 0.772 3.074 0 0.028 87.528 0.77 3.437 0 0.058 89.87 0.794 3.926 0 0.123 93.767
189 Itämerentori 2, Helsinki, FI-00180, Finland Helsinki Finland 1067 8.464508 85.74437 0.161 1.435 0 0 88.221 0.153 1.734 0 0 96.89 0.153 1.827 0 0 100.269 0.151 1.985 0 0.001 101.865 0.144 2.163 0 0.004 101.935
295 19/F Tower B Manulife Financial Centre, 223-231 Wai Yip Street, Kowloon, Hong Kong SAR, China Hong Kong SAR China 4786 20.1 48.999816 0.578 19 0 12.752 415.451 0.524 20.735 0 32.484 443.339 0.542 21.698 0 43.368 446.733 0.565 23.346 0 61.856 462.327 0.517 25.696 0 82.675 482.208
796 1000 Louisiana Street, Suite 5800, Houston, Texas 77002, United States Houston United States 1824 86.6 53 0.419 37.29 0 17.547 457.977 0.41 48.54 0 48.24 512.302 0.393 51.619 0 58.23 529.649 0.396 56.351 0 73.997 551.786 0.404 63.847 0 92.304 570.343
908 SDC -The Hive, Hyderabad Hyderabad India 1515 31.46980313 46.685253 3.029 88.042 0 1.939 245.722 2.741 96.902 0 9.84 269.79 2.678 102.648 0 13.859 275.305 2.493 112.471 0 23.338 279.49 2.449 127.589 0 40.396 287.014
737 Süleyman Seba Caddesi, BJK Plaza No:48 B Blok Kat:9, Akaretler, Besiktas, Istanbul 34357, Turkey Istanbul Turkey 1814 47.187129 60.5 0.899 6.154 0 0.005 115.834 0.955 8.524 0 0.189 122.576 0.969 9.388 0 0.397 129.739 1.027 10.705 0 0.993 132.558 1.093 12.4 0 2.007 135.638
352 Jl. Jend. Sudirman Kav. 29-31, Jakarta, 12920, Indonesia Jakarta Indonesia 2954 22.3 32.6 0.421 14.646 0 1.217 180.481 0.438 14.91 0 9.025 195.144 0.441 15.273 0 21.892 197.717 0.422 16.269 0 52.415 202.751 0.415 19.24 0 107.029 206.333
631 4 Lisbon Lane, Waterfall City, Jukskei View, Johannesburg, 2090 Johannesburg South Africa 2752 47.466355 21.2 1.446 3.323 0 0 130.69 1.567 4.176 0 0 137.938 1.481 4.89 0 0.001 139.302 1.599 5.956 0 0.005 142.454 1.618 8.125 0 0.017 145.835
545 State Life Building 1-C, Off: I. I. Chundrigar Road, Karachi, 74000, Sindh, Pakistan Karachi Pakistan 1044 34.9911406 50.481967 18.237 52.313 0 42.325 205.441 15.46 58.592 0 73.065 225.997 12.527 62.268 0 86.441 227.943 10.898 68.321 0 105.379 238.822 13.479 76.758 0 128.333 249.128
565 ul. Chorzowska 146, Katowice, 40-101, Poland Katowice Poland 1751 20.313298 53.619691 0.253 5.717 0 0.013 97.922 0.276 7.879 0 0.098 104.184 0.273 8.558 0 0.182 102.898 0.27 9.946 0 0.332 104.212 0.285 11.467 0 0.673 103.76
329 South City Pinnacle, 13th Floor, Plot No. X1-1, Block-EP, Sector V, Salt Lake, Kolkota, 700091, India Kolkata India 4803 28.614523 49.573421 0.744 72.578 0 121.663 274.277 0.721 73.523 0 144.128 293.997 0.669 77.335 0 153.887 309.637 0.649 85.421 0 170.29 316.366 0.594 101.752 0 189.446 321.901
453 Level 10, 1 Sentral, Jalan Rakyat, Kuala Lumpur, 50470, Malaysia Kuala Lumpur Malaysia 2558 23.99 38.438336 0.055 8.238 0 15.427 252.905 0.053 8.399 0 47.703 259.609 0.054 8.632 0 77.683 270.17 0.053 9.449 0 124.128 280.069 0.052 11.795 0 181.479 287.066
776 Central Square, 29 Wellington Street, Leeds, LS1 4DL Leeds United Kingdom 1136 65.735088 64.802278 0.932 0.237 0 0 76.762 0.931 0.27 0 0 81.715 0.934 0.29 0 0 83.286 0.951 0.322 0 0.001 85.899 0.942 0.369 0 0.002 89.032
555 Av. Santo Toribio No. 143, Piso 8, Lima, 27, Peru Lima Peru 1049 81.2 30.011718 0.065 0.053 0 0 18.076 0.066 0.053 0 0 19.622 0.064 0.053 0 0 20.225 0.06 0.053 0 0 21.114 0.057 0.053 0 0.001 22.078
573 Palácio Sottomayor, Avenida Fontes Pereira de Melo, nº 16, Lisbon, 1050-121, Portugal Lisbon Portugal 1324 83.108524 17.474794 0.061 3.265 0 0.004 92.839 0.07 4.113 0 0.024 102.578 0.077 4.408 0 0.032 101.554 0.084 4.934 0 0.061 100.92 0.09 5.55 0 0.11 99.321
759 7 More London Riverside, London, SE1 2RT, United Kingdom London United Kingdom 7634 63.275375 57.38368 0.932 0.61 0 0 57.525 0.931 0.787 0 0 60.937 0.934 0.878 0 0.001 61.172 0.951 1.022 0 0.002 62.889 0.942 1.213 0 0.006 65.843
812 601 South Figueroa Street, Los Angeles, California 90017, United States Los Angeles United States 2035 93.20602687 53.5792109 2.131 35.014 0 0.164 127.949 1.94 43.444 0 0.795 140.065 1.844 46.354 0 1.132 140.155 1.947 50.628 0 1.943 146.117 2.171 55.46 0 2.909 150.175
444 2 rue Gerhard Mercator, Luxembourg, L-2182, Luxembourg Luxembourg Luxembourg 3133 49.337232 49.19253 0.244 3.075 0 0.004 68.813 0.26 4.04 0 0.031 70.621 0.261 4.471 0 0.064 71.22 0.267 5.116 0 0.121 71.784 0.265 5.983 0 0.261 75.658
653 Torre PwC, Paseo de la Castellana, 259B, Madrid, 28046, Spain Madrid Spain 2985 71.402405 22.556971 0.184 23.191 0 0.039 57.546 0.211 31.505 0 0.272 61.961 0.234 34.858 0 0.432 62.062 0.26 40.437 0 0.852 62.192 0.306 47.15 0 1.767 63.425
774 Manchester Hardman Sq, 1 Hardman Square, , Manchester, M3 3EB, United Kingdom Manchester United Kingdom 1495 68.953683 62.60617 0.281 0.172 0 0 60.664 0.277 0.195 0 0 65.48 0.28 0.213 0 0 66.234 0.281 0.239 0 0 68.776 0.284 0.28 0 0.001 71.031
558 29th Floor Philamlife Tower, 8767 Paseo de Roxas, Makati City, 1226, Philippines Manila Philippines 1690 17.530625 44.2 0.223 25.384 0 38.619 448.754 0.206 27.414 0 82.307 464.193 0.203 28.803 0 105.355 471.21 0.202 31.69 0 140.483 480.871 0.191 36.625 0 176.757 501.187
13 2 Riverside Quay, Southbank, 3006, Victoria, Australia Melbourne Australia 2777 9.948965 14.586811 0.097 2.83 0 0.088 104.653 0.104 3.199 0 0.138 102.144 0.11 3.453 0 0.212 103.409 0.11 3.91 0 0.339 106.053 0.106 4.575 0 0.523 110.542
464 Mariano Escobedo 573, Colonia Rincón del Bosque, Miguel Hidalgo, 11580 Ciudad de México, Mexico Mexico City Mexico 2026 87.7 47 0.219 0.019 0 0 280.262 0.221 0.02 0 0 307.891 0.23 0.021 0 0 318.074 0.229 0.023 0 0 334.683 0.232 0.031 0 0 353.801
394 Piazza Tre Torri 2 , Milano 20145, Italy Milan Italy 4870 40.388455 37.653062 0.216 12.753 0 0.203 150.435 0.237 18.054 0 1.157 163.082 0.245 19.781 0 1.743 161.812 0.254 22.643 0 3.017 163.541 0.259 26.696 0 5.758 167.4
89 1250 Rene Levesque Boulevard West, Suite 2500, Montreal, H3B 2G4, Quebec, Canada Montreal Canada 1045 79.4 63 0.316 13.289 0 0.201 112.206 0.319 15.827 0 0.687 122.223 0.318 16.641 0 1.041 121.737 0.307 18.46 0 1.949 123.254 0.303 20.439 0 3.681 126.054
325 8th Floor, IT Building No.3, Nesco IT Park, Western Express Highway, Goregaon East, Mumbai - 400063, Maharashtra, India Mumbai India 1110 33.1 47.356366 0.101 29.06 0 12.599 362.223 0.093 31.216 0 31.189 426.628 0.089 32.842 0 40.848 433.037 0.086 35.822 0 58.05 448.427 0.084 40.873 0 87.076 459.265
247 Ganghoferstraße 68b , 80339 München , Germany Munich Germany 2199 38.641381 46.302596 0.107 4.077 0 0.011 130.053 0.112 5.349 0 0.058 139.374 0.112 5.822 0 0.112 138.9 0.114 6.606 0 0.199 142.132 0.115 7.727 0 0.446 144.422
849 300 Madison Avenue, New York, New York 10017, United States New York United States 9143 79.8 59.5 1.262 12.824 0 0.995 190.693 1.271 16.103 0 3.028 216.987 1.249 17.229 0 4.38 225.041 1.202 19.518 0 7.029 227.267 1.156 22.146 0 11.183 227.958
522 Dronning Eufemias gate 71, Oslo, N-0194, Norway Oslo Norway 1122 39.887216 85.585201 0.532 2.25 0 0 75.663 0.522 2.693 0 0 77.28 0.537 2.861 0 0 80.853 0.543 3.067 0 0.001 82.897 0.546 3.307 0 0.003 86.774
899 Crystal Park, 61 rue de Villiers, Neuilly-sur-Seine Cedex, 92208, France Paris France 4206 58.538473 45.766648 0.622 3.188 0 0.006 50.248 0.637 4.287 0 0.045 51.701 0.634 4.813 0 0.082 52.531 0.643 5.618 0 0.156 53.131 0.655 6.674 0 0.354 54.746
561 5th & 6th Floors Tower 1 The Rockwell Business Center | Block 4 Meralco Compound | Ortigas Avenue, Pasig City 1604 | Philippines Pasig Philippines 1884 18 44.9 0.223 18.819 0 32.279 442.241 0.206 20.278 0 67.717 456.861 0.203 21.291 0 86.756 466.111 0.202 23.425 0 116.557 478.936 0.191 27.122 0 149.265 493.778
843 Two Commerce Square, Suite 1800, 2001 Market Street, Philadelphia, Pennsylvania 19103, United States Philadelphia United States 1821 80.2 58.7 0.379 16.458 0 2.329 183.621 0.368 21.183 0 6.024 195.812 0.361 22.726 0 8.259 200.945 0.352 25.598 0 12.074 205.618 0.338 28.902 0 17.782 212.658
156 Hvezdova 1734/2c, Prague 4, 140 00, Czech Republic Prague Czechia 1115 30.739069 49.48381 2.007 6.186 0 0.008 103.113 2.033 8.007 0 0.055 110.567 2.075 8.628 0 0.112 111.236 2.135 9.746 0 0.195 112.368 2.174 11.212 0 0.416 115.652
602 Kingdom Tower - 21st Floor, King Fahd Highway, Riyadh, 11414, Saudi Arabia Riyadh Saudi Arabia 1354 41.66501112 49.797755 87.293 136.331 0 0.044 32.761 98.498 155.815 0 1.845 35.395 85.868 162.234 0 2.99 36.65 87.333 172.204 0 6.47 38.98 92.175 184.317 0 13.163 40.166
377 Largo Angelo Fochetti 29, Roma 00154, Italy Rome Italy 1569 35.345357 26.418117 0.212 11.351 0 0.095 143.057 0.229 15.994 0 1.158 152.196 0.244 17.471 0 2.096 152.669 0.268 19.819 0 4.062 157.705 0.285 23.336 0 7.939 164.664
827 405 Howard Street,  Suite 600, San Francisco, California 94105, United States San Francisco United States 1634 94.498463 56.3 1.899 2.093 0 0 97.716 1.93 2.853 0 0.001 104.76 2.064 3.19 0 0.002 104.708 1.947 3.719 0 0.004 105.418 1.865 4.296 0 0.008 110.591
824 488 Almaden Boulevard, San Jose, California 95110, United States San Jose United States 1246 94 55.60729132 1.899 20.844 0 0.003 101.999 1.93 24.594 0 0.018 111.245 2.064 26.068 0 0.022 110.346 1.947 28.423 0 0.042 110.987 1.865 30.613 0 0.078 114.335
106 Torre de la Costanera Avenida Andres Bello N° 2711, Pisos 3, 4 y 5, Santiago, 8320000, Chile Santiago Chile 1220 78.99 16.3 0.049 10.97 0 0 179.928 0.056 12.258 0 0 180.765 0.061 12.786 0 0 181.617 0.07 13.818 0 0 187.46 0.077 15.329 0 0 190.194
55 Centro Empresarial Agua Branca, Avenida Francisco Matarazzo 1400, São Paulo, 05001-903, SP, Brazil São Paulo Brazil 1590 70.83623 22.5 0.261 3.026 0 0.058 233.212 0.252 3.969 0 0.197 242.677 0.243 4.756 0 0.312 250.246 0.243 5.834 0 0.67 258.542 0.236 7.289 0 1.694 270.209
641 92 Hangang-daero, Yongsan-gu, Seoul, 04386, South Korea Seoul South Korea 3354 15.9 58.536561 0.277 14.868 0 2.514 248.584 0.235 18.357 0 6.699 272.476 0.252 19.82 0 8.966 276.088 0.254 21.866 0 12.614 282.852 0.25 23.942 0 18.548 291.436
124 ChamTime Plaza Tower B 6/F, Building 2, Lane 2889, Shanghai, 201203, China Shanghai China 8311 17.73996497 54.4 3.566 16.105 0 14.847 240.032 3.324 20.585 0 27.577 267.942 3.439 22.59 0 33.446 267.858 3.226 25.396 0 42.099 274.098 3.089 28.097 0 50.357 285.437
112 34/F Tower A, Kingkey 100, 5016 Shennan East Road, Shenzhen, 518001, China Shenzhen China 1722 19.39 49.494706 0.578 23.719 0 30.169 372.991 0.524 26.647 0 57.51 400.088 0.542 28.246 0 68.404 402.902 0.565 30.855 0 84.718 415.501 0.517 34.463 0 101.548 431.921
611 7 Straits View, Marina One, East Tower, Level 11-02, Singapore, 018936, Singapore Singapore Singapore 3797 23.296019 37.29112 0.055 0.07 0 1.683 253.448 0.053 0.07 0 6.463 251.642 0.054 0.07 0 10.813 256.53 0.053 0.07 0 20.395 265.286 0.052 0.071 0 44.199 268.914
686 Torsgatan 21, 113 97 Stockholm, Sweden Stockholm Sweden 1512 23.612298 82.232757 0.272 1.05 0 0 67.711 0.265 1.476 0 0 70.777 0.272 1.605 0 0 73.372 0.276 1.788 0 0.001 75.849 0.266 1.993 0 0.003 78.868
16 One International Towers Sydney, Watermans Quay, Barangaroo, 2000, New South  Wales, Australia Sydney Australia 3952 7.941 17.36617 0.044 0.933 0 0.054 222.559 0.046 1.133 0 0.113 213.787 0.047 1.258 0 0.196 217.84 0.047 1.394 0 0.248 235.175 0.043 1.633 0 0.427 247.144
727 International Trade Building, 27F, 333 Keelung Road, Section 1, Taipei, 10012, Taiwan Taipei Taiwan 2759 17.662191 50.797341 0 23.556 0 9.322 418.528 0 26.412 0 27.325 437.884 0 27.428 0 36.161 432.487 0 28.964 0 50.848 446.665 0 31.316 0 67.319 466.483
791 4040 West Boy Scout Boulevard, 10th Floor, Tampa, Florida 33607, United States Tampa United States 3738 82.6 51.6 3.479 27.615 0 6.96 282.07 3.059 33.677 0 24.741 303.907 3.127 37.125 0 35.287 316.752 3.263 41.959 0 53.957 328.089 3.276 49.107 0 76.689 342.542
913 Derech Menachem Begin 146,  Tel-Aviv 6492103,  Israel Tel-Aviv Israel 1103 45.176778 55.5 0.916 21.438 0 0.062 65.153 1.054 27.087 0 1.626 68.464 1.098 29.477 0 3.274 68.273 1.13 33.105 0 8.051 68.781 1.187 37.601 0 16.105 69.052
423 Otemachi One Tower Bldg., 1-2-1 Otemachi, Chiyoda-ku, Tokyo 100-0004, Japan Tokyo Japan 5235 11.9 57.591313 0.197 11.123 0 4.163 264.001 0.2 13.653 0 8.627 265.255 0.192 14.758 0 11.637 268.69 0.184 16.181 0 15.447 275.179 0.184 17.782 0 20.359 283.722
80 PwC Tower, 18 York Street, Toronto, M5J 0B2, Ontario, Canada Toronto Canada 3374 81.6 61.517254 0.587 7.328 0 0.106 99.181 0.592 9.042 0 0.356 109.593 0.595 9.644 0 0.597 110.162 0.574 10.71 0 1.21 109.113 0.579 12.224 0 2.393 112.27
25 Donau-City-Straße 7 , 1220 Wien Vienna Austria 1113 27.12091 45.35792 0.063 10.518 0 0.044 85.099 0.065 14.082 0 0.237 92.141 0.067 15.172 0 0.433 94.999 0.069 17.249 0 0.748 96.423 0.072 19.641 0 1.408 97.557
570 Polna 11, Warszawa, 00-633, Poland Warsaw Poland 3036 15.683064 58.825446 0.253 6.344 0 0.007 73.569 0.276 8.491 0 0.065 80.694 0.273 9.052 0 0.119 80.404 0.27 10.095 0 0.232 81.356 0.285 11.459 0 0.477 79.607
836 655 New York Ave NW, Washington, District Of Columbia 20001, United States Washington, D.C. United States 2349 80.9 57.9 0.892 20.912 0 3.071 198.982 0.866 26.927 0 8.147 207.555 0.847 28.699 0 11.045 211.553 0.825 32.1 0 16.123 218.339 0.787 36.178 0 23.15 229.832
715 Birchstrasse 160, 8050 Zürich, Switzerland Zurich Switzerland 2071 44.58177 40.850578 0.027 4.71 0 0.011 111.607 0.029 5.901 0 0.062 121.958 0.029 6.347 0 0.11 123.638 0.03 7.036 0 0.2 123.986 0.029 8.054 0 0.459 124.161

Our approach
1 Identify key physical locations in the value chain. For PwC, this is mainly our office locations.

2
Overlay climate hazards based on defined climate scenarios, to understand how those hazards might apply to the key locations identified (see an extract of our data in the interactive map above).
3

Decide which locations need further analysis based on a business assessment, including:

  • How relevant is the hazard to the nature of our business?
  • What potential is there to mitigate the hazard, either by ourselves or in collaboration with others (e.g. governments, cities, other businesses)?
4 Using the analysis, decide which locations may be materially vulnerable and need more attention and response.
5 Identify business decisions that will be needed, including mitigation measures, recovery plans, alternate locations for certain functions or activities, etc. and develop action plans to address these.

You can read more about our physical risk analysis and other sustainability services here.

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Colm Kelly

Colm Kelly

Global Corporate Sustainability Leader, PricewaterhouseCoopers International Limited

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Lindsay Foulds

Lindsay Foulds

Director, Global Corporate Sustainability, PricewaterhouseCoopers International Limited

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