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cloud_regions_metadata

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power-usage-effectiveness >30 ✖

  • - 154
  • 1.12 14
  • 1.09 4
  • 1.1 3
  • 1.16 3
  • 1.32 3
  • 1.13 2
  • 1.144 2
  • 1.2 2
  • 1.43 2
  • 1.07 1
  • 1.08 1
  • 1.11 1
  • 1.125 1
  • 1.14 1
  • 1.15 1
  • 1.156 1
  • 1.158 1
  • 1.17 1
  • 1.172 1
  • 1.197 1
  • 1.223 1
  • 1.26 1
  • 1.28 1
  • 1.307 1
  • 1.33 1
  • 1.34 1
  • 1.346 1
  • 1.358 1
  • 1.36 1
  • …
Link rowid ▼ year cloud-provider cloud-region cfe-region em-zone-id wt-region-id location geolocation provider-cfe-hourly provider-cfe-annual power-usage-effectiveness water-usage-effectiveness provider-carbon-intensity-market-annual provider-carbon-intensity-average-consumption-hourly grid-carbon-intensity-average-consumption-annual grid-carbon-intensity-marginal-consumption-annual grid-carbon-intensity-average-production-annual grid-carbon-intensity total-ICT-energy-consumption-annual total-water-input renewable-energy-consumption renewable-energy-consumption-goe renewable-energy-consumption-ppa renewable-energy-consumption-onsite
101 101 2022 Google Cloud asia-east2 Hong Kong HK HK Hong Kong 22.3,114.2 0.28       0.0 360.0 435.36   435.36              
102 102 2022 Google Cloud asia-northeast1 Tokyo JP-TK JP_TK Tokyo 35.6897,139.692 0.16       0.0 463.0 546.82 535.9531592 554.76 536.0            
103 103 2022 Google Cloud asia-northeast2 Kansai JP-KN JP_KN Osaka 34.6939,135.502 0.32       0.0 383.0 420.67 550.5322311 410.06 551.0            
104 104 2022 Google Cloud asia-northeast3 South Korea KR KOR Seoul 37.56,126.99 0.31       0.0 425.0 455.53 686.0136038 455.52 686.0            
105 105 2022 Google Cloud asia-south1 Maharashtra IN-WE IND Mumbai 19.0761,72.8775 0.24       0.0 555.0 747.67 679.4097431 760.68 679.0            
106 106 2022 Google Cloud asia-south2 Uttar Pradesh IN-NO IND Delhi 28.6092,76.9798 0.23       0.0 632.0 552.52 679.4097431 552.19 679.0            
107 107 2022 Google Cloud asia-southeast1 Singapore SG SGP Singapore 1.3,103.8 0.04   1.2   0.0 372.0 491.09 409.1860208 490.42 409.0            
108 108 2022 Google Cloud asia-southeast2 Indonesia ID ID Jakarta -6.2507,106.869 0.13       0.0 580.0 652.36   652.36              
109 109 2022 Google Cloud australia-southeast1 New South Wales AU-NSW NEM_NSW Sydney -33.8678,151.21 0.27       0.0 538.0 586.3 770.3638355 585.48 770.0            
110 110 2022 Google Cloud australia-southeast2 Victoria AU-VIC NEM_VIC Melbourne -37.8142,144.963 0.34       0.0 490.0 534.85 664.5903366 534.85 665.0            
111 111 2022 Google Cloud europe-central2 Poland PL PL Warsaw 52.23,21.0111 0.24       0.0 738.0 882.36 852.3941505 936.01 852.0            
112 112 2022 Google Cloud europe-north1 Finland FI FI Finland 60.1708,24.9375 0.97   1.09   0.0 112.0 132.69 784.9591618 147.0 785.0            
113 113 2022 Google Cloud europe-southwest1 Spain ES ES Madrid 40.3333,-3.8667 0.67       0.0 160.0 220.63 370.288102 220.31 370.0            
114 114 2022 Google Cloud europe-west1 Belgium BE BE Belgium 51.1333,4.5667 0.8   1.09   0.0 123.0 196.35 411.1523178 174.17 411.0            
115 115 2022 Google Cloud europe-west2 Great Britain GB UK London 51.726,-0.3 0.85       0.0 166.0 220.45 427.7283704 223.87 428.0            
116 116 2022 Google Cloud europe-west3 Germany DE DE Frankfurt 50.1106,8.6822 0.96       0.0 413.0 474.46 741.7175367 488.94 742.0            
117 117 2022 Google Cloud europe-west4 Netherlands NL NL Netherlands 51.9167,4.5 0.57   1.07   0.0 317.0 337.25 487.2176839 348.62 487.0            
118 118 2022 Google Cloud europe-west6 Switzerland CH CH Zurich 47.3744,8.5411 0.85       0.0 118.0 148.39   49.5              
119 119 2022 Google Cloud europe-west8 North Italy IT-NO IT Milan 45.4669,9.19 0.42       0.0 323.0 369.48 385.8847276 445.96 386.0            
120 120 2022 Google Cloud europe-west9 France FR FR Paris 48.8567,2.3522 0.87       0.0 71.0 91.23 383.7390836 72.0 384.0            
121 121 2022 Google Cloud europe-west12 North Italy IT-NO IT Turin 45.0792,7.6761 0.42       0.0 323.0 369.48 385.8847276 445.96 386.0            
122 122 2022 Google Cloud me-west1 Israel IL IL Tel Aviv 32.0167,34.7667 0.02       0.0 476.0 541.78   541.78              
123 123 2022 Google Cloud northamerica-northeast1 Quebec CA-QC HQ Montréal 45.5089,-73.5617 1.0       0.0 0.0 28.22 462.2451779 27.92 462.0            
124 124 2022 Google Cloud northamerica-northeast2 Ontario CA-ON IESO_NORTH Toronto 43.7417,-79.3733 0.9       0.0 36.0 63.01 356.8894651 63.46 357.0            
125 125 2022 Google Cloud southamerica-east1 Central Brazil BR-CS BRA São Paulo -3.45,-68.95 0.89       0.0 65.0 99.93 571.4267992 103.92 571.0            
126 126 2022 Google Cloud southamerica-west1 Chile CL-SEN CHL Santiago -33.4372,-70.6506 0.9   1.09   0.0 165.0 321.66 615.8448463 321.66 616.0            
127 127 2022 Google Cloud us-central1 MISO US-MIDW-MISO MISO_MASON_CITY Iowa 41.5725,-93.6105 0.92   1.11   0.0 445.0 526.14 539.2510271 546.23 539.0            
128 128 2022 Google Cloud us-east1 SC US-CAR-SC SC South Carolina 34.8354,-82.3646 0.26   1.1   0.0 532.0 620.85 727.5301036 769.37 728.0            
129 129 2022 Google Cloud us-east4 PJM US-MIDA-PJM PJM_DC Northern Virginia 39.1057,-77.5544 0.6   1.08   0.0 354.0 429.84 565.3840343 430.11 565.0            
130 130 2022 Google Cloud us-east5 PJM US-MIDA-PJM PJM_SOUTHWEST_OH Columbus 41.4366,-97.3565 0.6   1.13   0.0 354.0 429.84 565.1671385 430.11 565.0            
131 131 2022 Google Cloud us-south1 ERCOT US-TEX-ERCO ERCOT_NORTHCENTRAL Dallas 44.9221,-123.313 0.41   1.14   0.0 342.0 405.38 441.0116857 404.88 441.0            
132 132 2022 Google Cloud us-west1 BPA US-NW-BPAT BPA Oregon 45.5372,-122.3955 0.89   1.1   0.0 67.0 86.61 427.1886293 58.5 427.0            
133 133 2022 Google Cloud us-west2 CAISO US-CAL-CISO LDWP Los Angeles 34.1141,-118.4068 0.56       0.0 202.0 264.4 501.0230748 247.55 501.0            
134 134 2022 Google Cloud us-west3 PACE US-NW-PACE PACE Salt Lake City 40.7776,-111.9311 0.31       0.0 606.0 658.67 664.0421037 676.5 664.0            
135 135 2022 Google Cloud us-west4 NVE US-NW-NEVP NEVP Las Vegas 35.6011,-105.2206 0.27   1.09   0.0 396.0 465.92 456.7534925 508.35 457.0            
136 136 2022 Amazon Web Services us-east-2 PJM US-MIDA-PJM PJM_SOUTHWEST_OH US East (Ohio) 39.8689,-84.3292   1.0 1.12 0.19 0.0   429.84 565.1671385 430.11 565.0            
137 137 2022 Amazon Web Services us-east-1 PJM US-MIDA-PJM PJM_DC US East (N. Virginia) 39.1057,-77.5544   1.0 1.16 0.19 0.0   429.84 565.3840343 430.11 565.0            
138 138 2022 Amazon Web Services us-west-1 CAISO US-CAL-CISO CAISO_NORTH US West (N. California) 36.7783,-119.417931   1.0 1.17 0.19 0.0   264.4 392.7840553 247.55 393.0            
139 139 2022 Amazon Web Services us-west-2 BPA US-NW-BPAT BPA US West (Oregon) 45.5371,-122.65   1.0 1.13 0.19 0.0   86.61 427.1886293 58.5 427.0            
140 140 2022 Amazon Web Services af-south-1 South Africa ZA ZA Africa (Cape Town) -33.9253,18.4239     1.36 0.19     705.0   705.05              
141 141 2022 Amazon Web Services ap-east-1 Hong Kong HK HK Asia Pacific (Hong Kong) 22.3,114.2       0.19     435.36   435.36              
142 142 2022 Amazon Web Services ap-south-2 Hyderabad IN-SO IND Asia Pacific (Hyderabad) 17.385,78.4867   1.0   0.19 0.0   504.69 679.4097431 501.99 679.0            
143 143 2022 Amazon Web Services ap-southeast-3 Indonesia ID ID Asia Pacific (Jakarta) -6.175,106.8275     1.39 0.19     652.36   652.36              
144 144 2022 Amazon Web Services ap-southeast-4 Victoria AU-VIC NEM_VIC Asia Pacific (Melbourne) -37.8142,144.963       0.19     534.85 664.5903366 534.85 665.0            
145 145 2022 Amazon Web Services ap-south-1 Maharashtra IN-WE IND Asia Pacific (Mumbai) 19.0761,72.8775   1.0 1.43 0.19 0.0   747.67 679.4097431 760.68 679.0            
146 146 2022 Amazon Web Services ap-northeast-3 Kansai JP-KN JP_KN Asia Pacific (Osaka) 34.6939,135.502       0.19     420.67 550.5322311 410.06 551.0            
147 147 2022 Amazon Web Services ap-northeast-2 South Korea KR KOR Asia Pacific (Seoul) 37.56,126.99       0.19     455.53 686.0136038 455.52 686.0            
148 148 2022 Amazon Web Services ap-southeast-1 Singapore SG SGP Asia Pacific (Singapore) 1.3,103.8     1.33 0.19     491.09 409.1860208 490.42 409.0            
149 149 2022 Amazon Web Services ap-southeast-2 New South Wales AU-NSW NEM_NSW Asia Pacific (Sydney) -33.8678,151.21     1.15 0.19     586.3 770.3638355 585.48 770.0            
150 150 2022 Amazon Web Services ap-northeast-1 Tokyo JP-TK JP_TK Asia Pacific (Tokyo) 35.6897,139.692     1.32 0.19     546.82 535.9531592 554.76 536.0            
151 151 2022 Amazon Web Services ca-central-1 Quebec CA-QC HQ Canada (Central) 45.5089,-73.5617   1.0 1.26 0.19 0.0   28.22 462.2451779 27.92 462.0            
152 152 2022 Amazon Web Services eu-central-1 Germany DE DE Europe (Frankfurt) 50.1106,8.6822   1.0 1.32 0.19 0.0   474.46 741.7175367 488.94 742.0            
153 153 2022 Amazon Web Services eu-west-1 Ireland IE IE Europe (Ireland) 53.35,-6.2603   1.0 1.1 0.19 0.0   404.89 507.95177 404.88 508.0            
154 154 2022 Amazon Web Services eu-west-2 Great Britain GB UK Europe (London) 51.726,-0.3   1.0   0.19 0.0   220.45 427.7283704 223.87 428.0            
155 155 2022 Amazon Web Services eu-south-1 North Italy IT-NO IT Europe (Milan) 45.4669,9.19   1.0   0.19 0.0   369.48 385.8847276 445.96 386.0            
156 156 2022 Amazon Web Services eu-west-3 France FR FR Europe (Paris) 48.8567,2.3522   1.0   0.19 0.0   91.23 383.7390836 72.0 384.0            
157 157 2022 Amazon Web Services eu-south-2 Spain ES ES Europe (Spain) 40.3333,-3.8667   1.0   0.19 0.0   220.63 370.288102 220.31 370.0            
158 158 2022 Amazon Web Services eu-north-1 Sweden SE SE Europe (Stockholm) 59.3294,18.0686   1.0 1.12 0.19 0.0   25.82 781.7946219 22.63 782.0            
159 159 2022 Amazon Web Services eu-central-2 Switzerland CH CH Europe (Zurich) 47.3744,8.5411   1.0   0.19 0.0   148.39 778.7844238 49.5 779.0            
160 160 2022 Amazon Web Services il-central-1 Israel IL IL Israel (Tel Aviv) 32.0167,34.7667       0.19     541.78   541.78              
161 161 2022 Amazon Web Services me-south-1 Bahrain BH BH Middle East (Bahrain) 26.219,50.538     1.34 0.19     700.0   700.0              
162 162 2022 Amazon Web Services me-central-1 United Arab Emirates AE AE Middle East (UAE) 25.2631,55.2972       0.19     325.52   325.52              
163 163 2022 Amazon Web Services sa-east-1 Central Brazil BR-CS BRA South America (São Paulo) -3.45,-68.95       0.19     99.93 571.4267992 103.92 571.0            
164 164 2022 Amazon Web Services us-gov-east-1 PJM US-MIDA-PJM PJM_DC GovCloud (US East) 39.1057,-77.5544   1.0   0.19 0.0   429.84 565.3840343 430.11 565.0            
165 165 2022 Amazon Web Services us-gov-west-1 BPA US-NW-BPAT BPA GovCloud (US West) 45.5371,-122.65   1.0   0.19 0.0   86.61 427.1886293 58.5 427.0            
166 166 2022 Amazon Web Services cn-north-1       China (Beijing) 39.904,116.4075   1.0   0.19 0.0                      
167 167 2022 Amazon Web Services cn-northwest-1       China (Ningxia) 38.4795,106.2254   1.0 1.28 0.19 0.0                      
168 168 2022 Microsoft Azure southeastasia southeastasia SG SGP Singapore 1.352,103.835   0.13 1.358 2.06     491.09 409.1860208 490.42 409.0            
169 169 2022 Microsoft Azure brazilsouth Brazil BR-CS BRA Brazil -22.939, -47.045   0.05 1.12 0.039     99.93 571.4267992 103.92 571.0            
170 170 2022 Microsoft Azure northeurope Finland FI FI Finland 60.2065, 24.6753   0.1 1.12 0.01     132.69 784.9591618 147.0 785.0            
171 171 2022 Microsoft Azure asiapacific Indonesia ID ID Indonesia -6.219, 106.867   0.13 1.32 1.9     652.36   652.36              
172 172 2022 Microsoft Azure newzealandnorth New Zealand NZ NZ New Zealand -36.867, 174.751     1.12 0.0     96.35   96.35              
173 173 2022 Microsoft Azure swedencentral Sweden SE SE Sweden 59.329,18.067 1.0 1.0 1.172 0.16 0.0   25.82 781.7946219 22.63 782.0            
174 174 2022 Microsoft Azure australiaeast New South Wales AU-NSW NEM_NSW Australia East -33.889, 151.067   0.28 1.12 0.012     586.3   585.48              
175 175 2022 Microsoft Azure australiasoutheast Victoria AU-VIC NEM_VIC Australia Southeast -37.725, 145.067   0.28 1.12 0.012     534.85   534.85              
176 176 2022 Microsoft Azure denmarkeast Denmark DK-DK2 DK Denmark 55.685, 12.584   0.1 1.16 0.01     165.42 659.8866462 211.49 660.0            
177 177 2022 Microsoft Azure greececentral Greece GR GR Greece Central 37.987, 23.745     1.12 0.102     434.85 437.5870529 424.27 438.0            
178 178 2022 Microsoft Azure italynorth North Italy IT-NO IT Italy North 45.4669,9.19   0.15 1.12 0.023     369.48 385.8847276 445.96 386.0            
179 179 2022 Microsoft Azure polandcentral Poland PL PL Poland Central 52.23,21.0111     1.12 0.023     882.36 852.3941505 936.01 852.0            
180 180 2022 Microsoft Azure taiwannorth Taiwan TW TW Taiwan 25.0375,121.5625     1.2 1.0     535.48   535.49              
181 181 2022 Microsoft Azure austriaeast Austria AT AT Austria East 48.217, 16.493   0.79 1.12 0.023     244.81 632.1527284 131.56 632.0            
182 182 2022 Microsoft Azure northeurope Ireland IE IE Ireland 53.35,-6.2603   0.49 1.197 0.03     404.89 507.95177 404.88 508.0            
183 183 2022 Microsoft Azure westeurope Netherlands NL NL Netherlands 51.9167,4.5   0.79 1.158 0.08     337.25 487.2176839 348.62 487.0            
184 184 2022 Microsoft Azure indiasouthcentral India IN-SO IND India South Central 17.385,78.4867   0.46 1.43 0.0     504.69 679.4097431 501.99 679.0            
185 185 2022 Microsoft Azure mexicocentral Mexico MX MX_SIN Mexico Central 20.631, -100.428     1.12 0.056       421.9293015   422.0            
186 186 2022 Microsoft Azure spaincentral Spain ES ES Spain Central 40.44,-3.679   0.15 1.12       220.63 370.288102 220.31 370.0            
187 187 2022 Microsoft Azure westus3       Arizona: west US 3 33.471,-112.056   0.47 1.223 2.24                        
188 188 2022 Microsoft Azure eastus3 SOCO US-SE-SOCO SOCO Georgia: East US 3 33.76,-84.401   0.08 1.12 0.06     460.38 533.5899463 467.07 534.0            
189 189 2022 Microsoft Azure northcentralus MISO US-MIDW-MISO MISO Illinois: North Central US 41.832,-87.673   0.7 1.346 0.79     526.14   546.23              
190 190 2022 Microsoft Azure centralus MISO US-MIDW-MISO MISO Iowa: Central US 41.573,-93.608   1.0 1.16 0.19 0.0   526.14   546.23              
191 191 2022 Microsoft Azure southcentralus ERCOT US-TEX-ERCO ERCOT Texas: South Central US 29.453,-98.508   1.0 1.307 1.82 0.0   405.38   404.88              
192 192 2022 Microsoft Azure eastus PJM US-MIDA-PJM PJM_DC Virginia: East US 36.68,-78.377   0.7 1.144 0.17     429.84   430.11              
193 193 2022 Microsoft Azure eastus2 PJM US-MIDA-PJM PJM_DC Virginia: East US 2 36.68,-78.377   0.7 1.144 0.17     429.84   430.11              
194 194 2022 Microsoft Azure westus BPA US-NW-BPAT BPA Washington: West US 47.247,-119.82   0.47 1.156 1.09     86.61 427.1886293 58.5 427.0            
195 195 2022 Microsoft Azure westcentralus       Wyoming: West Central US 41.130,-104.83   0.47 1.125 0.23                        
196 196 2021 Google Cloud asia-east1 Taiwan TW TW Taiwan   0.17       0.0 456.0 542.08   542.09              
197 197 2021 Google Cloud asia-east2 Hong Kong HK HK Hong Kong   0.28       0.0 360.0 435.36   435.36              
198 198 2021 Google Cloud asia-northeast1 Tokyo JP-TK JP_TK Tokyo   0.16       0.0 464.0 549.03   557.48              
199 199 2021 Google Cloud asia-northeast2 Kansai JP-KN JP_KN Osaka   0.31       0.0 384.0 402.94   394.06              
200 200 2021 Google Cloud asia-northeast3 South Korea KR KOR Seoul   0.31       0.0 425.0 489.38   489.38              

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CREATE TABLE "cloud_regions_metadata" (
   [year] INTEGER,
   [cloud-provider] TEXT,
   [cloud-region] TEXT,
   [cfe-region] TEXT,
   [em-zone-id] TEXT,
   [wt-region-id] TEXT,
   [location] TEXT,
   [geolocation] TEXT,
   [provider-cfe-hourly] FLOAT,
   [provider-cfe-annual] FLOAT,
   [power-usage-effectiveness] FLOAT,
   [water-usage-effectiveness] FLOAT,
   [provider-carbon-intensity-market-annual] FLOAT,
   [provider-carbon-intensity-average-consumption-hourly] FLOAT,
   [grid-carbon-intensity-average-consumption-annual] FLOAT,
   [grid-carbon-intensity-marginal-consumption-annual] FLOAT,
   [grid-carbon-intensity-average-production-annual] FLOAT,
   [grid-carbon-intensity] FLOAT,
   [total-ICT-energy-consumption-annual] INTEGER,
   [total-water-input] INTEGER,
   [renewable-energy-consumption] INTEGER,
   [renewable-energy-consumption-goe] INTEGER,
   [renewable-energy-consumption-ppa] INTEGER,
   [renewable-energy-consumption-onsite] INTEGER
);
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