Google Cloud Platform Regions

Worldwide, there are 39 Google Cloud regions. Not every Google Compute Engine machine series is available in all Google Cloud region and zones. The pricing differs. A total of 11 million public IPv4 addresses are assigned to all Google Cloud Platform regions.

🗺️ Region Map ⏱️ Ping

Region IP Addr. Zones ✅ Machine Series ✅ SAP Costs (e2-standard-8) Carbon
Name Location Country # % # A2 C2 C2D C3 C3D E2 G2 H3 M1 M2 M3 N1 N2 N2D T2A T2D App. HANA Hour Month CFE% gCO2eq/kWh
asia-east1 Taiwan 🇹🇼 Taiwan 462336 3.91 3 0 5 21 0 0 17 8 0 4 0 0 24 29 31 0 8 82 13 0.3104 226.57 17 456
asia-east2 Hong Kong 🇭🇰 Hong Kong SAR China 203264 1.72 3 0 5 0 0 0 17 0 0 0 0 0 24 29 31 0 8 64 9 0.375 273.78 28 360
asia-northeast1 Tokyo 🇯🇵 Japan 348160 2.95 3 4 5 0 0 0 17 8 0 4 4 0 24 29 31 0 8 72 17 0.3439 251.02 16 464
asia-northeast2 Osaka 🇯🇵 Japan 101376 0.86 3 0 5 0 0 0 17 0 0 3 4 0 24 29 31 0 8 71 16 0.3439 251.02 31 384
asia-northeast3 Seoul 🇰🇷 South Korea 110592 0.94 3 4 5 0 0 0 17 0 0 3 4 0 24 29 31 0 0 64 16 0.3439 251.02 31 425
asia-south1 Mumbai 🇮🇳 India 172544 1.46 3 0 5 21 0 0 17 8 0 4 4 0 24 29 31 0 8 86 17 0.3219 235.01 23 633
asia-south2 Delhi 🇮🇳 India 75264 0.64 3 0 5 0 0 0 17 0 0 3 4 0 24 29 31 0 8 71 16 0.3219 235.01 23 633
asia-southeast1 Singapore 🇸🇬 Singapore 328704 2.78 3 9 5 21 24 0 17 8 0 4 0 5 24 29 31 7 8 98 18 0.3307 241.39 4 372
asia-southeast2 Jakarta 🇮🇩 Indonesia 109312 0.93 3 0 0 0 0 0 17 0 0 4 0 0 24 29 31 0 8 63 13 0.3604 263.11 13 580
australia-southeast1 Sydney 🇦🇺 Australia 169984 1.44 3 0 5 0 0 0 17 0 0 3 4 0 24 29 31 0 8 71 16 0.3803 277.64 11 723
australia-southeast2 Melbourne 🇦🇺 Australia 74752 0.63 3 0 0 0 0 0 17 0 0 3 0 0 24 29 31 0 8 62 12 0.3803 277.64 11 746
europe-central2 Warsaw 🇵🇱 Poland 71680 0.61 3 0 0 0 0 0 17 0 0 3 0 0 24 29 31 0 8 62 12 0.3453 252.1 20 576
europe-north1 Finland 🍃 Low CO2 🇫🇮 Finland 154112 1.30 3 0 5 0 0 0 17 0 0 0 0 0 24 27 31 0 8 62 7 0.2951 215.43 91 127
europe-southwest1 Madrid 🍃 Low CO2 🇪🇸 Spain 140288 1.19 3 0 0 0 0 0 17 0 0 3 0 5 0 29 31 0 8 55 14 0.3163 230.9 ? 121
europe-west1 Belgium 🍃 Low CO2 🇧🇪 Belgium 936192 7.92 3 0 5 21 24 0 17 8 0 4 4 5 24 29 31 0 8 102 22 0.2949 215.25 82 110
europe-west10 Berlin 🇩🇪 Germany 33792 0.29 3 0 0 0 0 0 17 0 0 0 0 0 0 29 31 0 8 47 6 0.4128 301.34 ? ?
europe-west12 Turin 🇮🇹 Italy 66560 0.56 3 0 0 0 0 0 17 0 0 0 0 0 0 29 31 0 8 47 6 0.3458 252.42 ? ?
europe-west2 London 🇬🇧 United Kingdom 308224 2.61 3 0 5 21 0 0 17 8 0 4 4 0 24 29 31 0 8 86 17 0.3453 252.1 57 172
europe-west3 Frankfurt 🇩🇪 Germany 343552 2.91 3 0 5 21 0 0 17 0 0 4 4 5 24 29 31 0 8 91 22 0.3453 252.1 60 269
europe-west4 Netherlands 🇳🇱 Netherlands 369664 3.13 3 9 5 21 24 31 17 8 1 4 4 5 24 29 31 7 8 102 22 0.2951 215.41 53 283
europe-west6 Zurich 🍃 Low CO2 🇨🇭 Switzerland 101888 0.86 3 0 5 0 0 0 17 0 0 4 0 0 24 29 31 0 8 68 13 0.375 273.78 85 86
europe-west8 Milan 🇮🇹 Italy 83456 0.71 3 0 0 0 0 0 17 0 0 3 4 0 0 29 31 0 8 54 13 0.3109 226.98 ? 298
europe-west9 Paris 🍃 Low CO2 🇫🇷 France 137216 1.16 3 0 0 0 0 0 17 0 0 3 0 0 0 29 31 0 8 50 9 0.3109 226.98 ? 59
me-central1 Doha 🇶🇦 Qatar 70656 0.60 3 0 0 0 0 0 17 0 0 0 0 0 0 29 31 0 8 47 6 0.3257 237.74 ? ?
me-central2 Dammam 🇸🇦 Saudi Arabia 70656 0.60 3 0 0 0 0 0 17 0 0 0 0 0 0 29 31 0 8 47 6 0.4289 313.08 ? ?
me-west1 Tel Aviv 🇮🇱 Israel 74752 0.63 3 4 5 0 0 0 17 0 0 3 0 0 22 29 31 0 8 67 12 0.2949 215.24 ? ?
northamerica-northeast1 Montréal 🍃 Low CO2 🇨🇦 Canada 188416 1.59 3 0 5 0 0 0 17 0 0 4 4 5 24 29 31 0 8 77 22 0.2951 215.41 95 142
northamerica-northeast2 Toronto 🍃 Low CO2 🇨🇦 Canada 75264 0.64 3 0 0 0 0 0 17 0 0 3 3 5 24 29 0 0 0 43 20 0.2951 215.41 86 142
southamerica-east1 São Paulo 🍃 Low CO2 🇧🇷 Brazil 172544 1.46 3 0 5 0 0 0 17 0 0 4 4 0 24 29 31 0 8 72 17 0.4255 310.6 78 129
southamerica-west1 Santiago 🇨🇱 Chile 70656 0.60 3 0 5 0 0 0 17 0 0 3 4 0 0 24 0 0 0 28 11 0.3833 279.81 69 190
us-central1 Iowa 🍃 Low CO2 🇺🇸 United States 3304704 27.97 5 9 5 21 24 23 17 8 1 4 4 5 24 29 31 7 8 102 22 0.268 195.67 97 394
us-east1 South Carolina 🇺🇸 United States 1144064 9.68 4 5 5 21 24 31 17 8 0 4 4 5 24 29 31 0 8 102 22 0.268 195.67 25 434
us-east4 Northern Virginia 🇺🇸 United States 465408 3.94 3 4 5 21 24 31 17 8 0 4 4 5 24 29 31 0 8 102 22 0.3019 220.37 64 309
us-east5 Columbus 🇺🇸 United States 71680 0.61 3 4 5 0 6 0 17 0 0 0 0 0 0 29 31 0 8 52 6 0.268 195.67 64 309
us-south1 Dallas 🇺🇸 United States 74752 0.63 3 0 0 0 0 0 17 0 0 0 0 0 0 29 0 0 0 20 6 0.3163 230.89 40 296
us-west1 Oregon 🍃 Low CO2 🇺🇸 United States 651264 5.51 3 4 5 21 0 0 17 8 0 4 0 0 24 29 31 0 8 82 13 0.268 195.67 88 60
us-west2 Los Angeles 🇺🇸 United States 269312 2.28 3 0 5 0 0 0 17 0 0 4 0 0 24 29 31 0 8 68 13 0.322 235.03 53 190
us-west3 Salt Lake City 🇺🇸 United States 91136 0.77 3 4 5 0 0 0 17 0 0 0 0 0 24 29 31 0 8 64 9 0.322 235.03 31 448
us-west4 Las Vegas 🇺🇸 United States 117760 1.00 3 4 5 21 0 0 17 0 0 4 4 5 24 29 31 0 8 91 22 0.3019 220.37 21 365