cloud_regions_metadata
64 rows where year = 2021
This data as json, CSV (advanced)
Suggested facets: cloud-provider, geolocation, provider-cfe-hourly, provider-cfe-annual, provider-carbon-intensity-market-annual
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 259 | 259 | 2021 | Amazon Web Services | af-south-1 | South Africa | ZA | ZAF | Africa (Cape Town) | 710.75 | 710.81 | |||||||||||||||
| 260 | 260 | 2021 | Amazon Web Services | ap-east-1 | Hong Kong | HK | HK | Asia Pacific (Hong Kong) | 435.36 | 435.36 | |||||||||||||||
| 261 | 261 | 2021 | Amazon Web Services | ap-northeast-1 | Tokyo | JP-TK | JP_TK | Asia Pacific (Tokyo) | 549.03 | 557.48 | |||||||||||||||
| 262 | 262 | 2021 | Amazon Web Services | ap-northeast-2 | South Korea | KR | KOR | Asia Pacific (Seoul) | 489.38 | 489.38 | |||||||||||||||
| 263 | 263 | 2021 | Amazon Web Services | ap-northeast-3 | Kansai | JP-KN | JP_KN | Asia Pacific (Osaka) | 402.94 | 394.06 | |||||||||||||||
| 264 | 264 | 2021 | Amazon Web Services | ap-south-1 | Maharashtra | IN-WE | IND | Asia Pacific (Mumbai) | 744.77 | 761.97 | |||||||||||||||
| 265 | 265 | 2021 | Amazon Web Services | ap-south-2 | Hyderabad | IN-SO | IND | Asia Pacific (Hyderabad) | 499.35 | 498.15 | |||||||||||||||
| 266 | 266 | 2021 | Amazon Web Services | ap-southeast-1 | Singapore | SG | SGP | Asia Pacific (Singapore) | 491.36 | 491.21 | |||||||||||||||
| 267 | 267 | 2021 | Amazon Web Services | ap-southeast-2 | New South Wales | AU-NSW | NEM_NSW | Asia Pacific (Sydney) | 654.6 | 652.27 | |||||||||||||||
| 268 | 268 | 2021 | Amazon Web Services | ap-southeast-3 | Indonesia | ID | IDN | Asia Pacific (Jakarta) | 652.36 | 652.36 | |||||||||||||||
| 269 | 269 | 2021 | Amazon Web Services | ap-southeast-4 | Victoria | AU-VIC | NEM_VIC | Asia Pacific (Melbourne) | 587.39 | 585.78 | |||||||||||||||
| 270 | 270 | 2021 | Amazon Web Services | ca-central-1 | Quebec | CA-QC | HQ | Canada (Central) | 0.95 | 28.39 | 28.42 | ||||||||||||||
| 271 | 271 | 2021 | Amazon Web Services | cn-north-1 | CHN | China (Beijing) | |||||||||||||||||||
| 272 | 272 | 2021 | Amazon Web Services | cn-northwest-1 | CHN | China (Ningxia) | |||||||||||||||||||
| 273 | 273 | 2021 | Amazon Web Services | eu-central-1 | Germany | DE | DE | Europe (Frankfurt) | 0.95 | 437.1 | 453.17 | ||||||||||||||
| 274 | 274 | 2021 | Amazon Web Services | eu-north-1 | Spain | ES | SE | Europe (Stockholm) | 0.95 | 174.36 | 175.13 | ||||||||||||||
| 275 | 275 | 2021 | Amazon Web Services | eu-south-1 | North Italy | IT-NO | IT | Europe (Milan) | 0.95 | 327.2 | 392.53 | ||||||||||||||
| 276 | 276 | 2021 | Amazon Web Services | eu-west-1 | Ireland | IE | IE | Europe (Ireland) | 53.35,-6.2603 | 0.95 | 375.84 | 378.18 | |||||||||||||
| 277 | 277 | 2021 | Amazon Web Services | eu-west-2 | Great Britain | GB | UK | Europe (London) | 0.95 | 226.12 | 235.87 | ||||||||||||||
| 278 | 278 | 2021 | Amazon Web Services | eu-west-3 | France | FR | FR | Europe (Paris) | 0.95 | 60.54 | 51.84 | ||||||||||||||
| 279 | 279 | 2021 | Amazon Web Services | il-central-1 | Israel | IL | ISR | Israel (Tel Aviv) | 550.86 | 550.86 | |||||||||||||||
| 280 | 280 | 2021 | Amazon Web Services | me-central-1 | United Arab Emirates | AE | ARE | Middle East (UAE) | |||||||||||||||||
| 281 | 281 | 2021 | Amazon Web Services | me-south-1 | Bahrain | BH | BHR | Middle East (Bahrain) | |||||||||||||||||
| 282 | 282 | 2021 | Amazon Web Services | sa-east-1 | Central Brazil | BR-CS | BRA | South America (São Paulo) | 170.18 | 169.95 | |||||||||||||||
| 283 | 283 | 2021 | Amazon Web Services | us-east-1 | PJM | US-MIDA-PJM | PJM_DC | US East (N. Virginia) | 0.95 | 441.45 | 442.26 | ||||||||||||||
| 284 | 284 | 2021 | Amazon Web Services | us-east-2 | PJM | US-MIDA-PJM | PJM_SOUTHWEST_OH | US East (Ohio) | 0.95 | 441.45 | 442.26 | ||||||||||||||
| 285 | 285 | 2021 | Amazon Web Services | us-gov-east-1 | PJM | US-MIDA-PJM | PJM_DC | GovCloud (US East) | 0.95 | 441.45 | 442.26 | ||||||||||||||
| 286 | 286 | 2021 | Amazon Web Services | us-gov-west-1 | BPA | US-NW-BPAT | BPA | GovCloud (US West) | 0.95 | 90.95 | 67.69 | ||||||||||||||
| 287 | 287 | 2021 | Amazon Web Services | us-west-1 | CAISO | US-CAL-CISO | CAISO_NORTH | US West (N. California) | 0.95 | 274.9 | 254.26 | ||||||||||||||
| 288 | 288 | 2021 | Amazon Web Services | us-west-2 | BPA | US-NW-BPAT | BPA | US West (Oregon) | 0.95 | 90.95 | 67.69 | ||||||||||||||
| 289 | 289 | 2021 | Google Cloud | asia-east1 | Taiwan | TW | TWN | Taiwan | 0.17 | 0.0 | 456.0 | 542.08 | 542.09 | ||||||||||||
| 290 | 290 | 2021 | Google Cloud | asia-east2 | Hong Kong | HK | HKG | Hong Kong | 0.28 | 0.0 | 360.0 | 435.36 | 435.36 | ||||||||||||
| 291 | 291 | 2021 | Google Cloud | asia-northeast1 | Tokyo | JP-TK | JP_TK | Tokyo | 0.16 | 0.0 | 464.0 | 549.03 | 557.48 | ||||||||||||
| 292 | 292 | 2021 | Google Cloud | asia-northeast2 | Kansai | JP-KN | JP_KN | Osaka | 0.31 | 0.0 | 384.0 | 402.94 | 394.06 | ||||||||||||
| 293 | 293 | 2021 | Google Cloud | asia-northeast3 | South Korea | KR | KOR | Seoul | 0.31 | 0.0 | 425.0 | 489.38 | 489.38 | ||||||||||||
| 294 | 294 | 2021 | Google Cloud | asia-south1 | Maharashtra | IN-WE | IND | Mumbai | 0.1 | 0.0 | 670.0 | 744.77 | 761.97 | ||||||||||||
| 295 | 295 | 2021 | Google Cloud | asia-south2 | Uttar Pradesh | IN-NO | IND | Delhi | 0.08 | 0.0 | 671.0 | 525.89 | 525.92 | ||||||||||||
| 296 | 296 | 2021 | Google Cloud | asia-southeast1 | Singapore | SG | SGP | Singapore | 0.04 | 0.0 | 372.0 | 491.36 | 491.21 | ||||||||||||
| 297 | 297 | 2021 | Google Cloud | asia-southeast2 | Indonesia | ID | IDN | Jakarta | 0.13 | 0.0 | 580.0 | 652.36 | 652.36 | ||||||||||||
| 298 | 298 | 2021 | Google Cloud | australia-southeast1 | New South Wales | AU-NSW | NEM_NSW | Sydney | 0.21 | 0.0 | 598.0 | 654.6 | 652.27 | ||||||||||||
| 299 | 299 | 2021 | Google Cloud | australia-southeast2 | Victoria | AU-VIC | NEM_VIC | Melbourne | 0.31 | 0.0 | 521.0 | 587.39 | 585.78 | ||||||||||||
| 300 | 300 | 2021 | Google Cloud | europe-central2 | Poland | PL | PL | Warsaw | 0.2 | 0.0 | 576.0 | 856.54 | 906.84 | ||||||||||||
| 301 | 301 | 2021 | Google Cloud | europe-north1 | Finland | FI | FI | Finland | 0.91 | 0.0 | 127.0 | 169.48 | 176.36 | ||||||||||||
| 302 | 302 | 2021 | Google Cloud | europe-southwest1 | Spain | ES | ES | Madrid | 0.0 | 0.0 | 121.0 | 174.36 | 175.13 | ||||||||||||
| 303 | 303 | 2021 | Google Cloud | europe-west1 | Belgium | BE | BE | Belgium | 0.82 | 0.0 | 110.0 | 167.99 | 151.67 | ||||||||||||
| 304 | 304 | 2021 | Google Cloud | europe-west2 | Great Britain | GB | UK | London | 0.57 | 0.0 | 172.0 | 226.12 | 235.87 | ||||||||||||
| 305 | 305 | 2021 | Google Cloud | europe-west3 | Germany | DE | DE | Frankfurt | 0.6 | 0.0 | 269.0 | 437.1 | 453.17 | ||||||||||||
| 306 | 306 | 2021 | Google Cloud | europe-west4 | Netherlands | NL | NL | Netherlands | 0.53 | 0.0 | 283.0 | 368.15 | 388.04 | ||||||||||||
| 307 | 307 | 2021 | Google Cloud | europe-west6 | Switzerland | CH | CH | Zurich | 0.85 | 0.0 | 86.0 | 130.82 | 59.49 | ||||||||||||
| 308 | 308 | 2021 | Google Cloud | europe-west8 | North Italy | IT-NO | IT | Milan | 0.0 | 0.0 | 298.0 | 327.2 | 392.53 | ||||||||||||
| 309 | 309 | 2021 | Google Cloud | europe-west9 | France | FR | FR | Paris | 0.0 | 0.0 | 59.0 | 60.54 | 51.84 | ||||||||||||
| 310 | 310 | 2021 | Google Cloud | northamerica-northeast1 | Quebec | CA-QC | HQ | Montréal | 1.0 | 0.0 | 0.0 | 28.39 | 28.42 | ||||||||||||
| 311 | 311 | 2021 | Google Cloud | northamerica-northeast2 | Ontario | CA-ON | IESO_NORTH | Toronto | 0.92 | 0.0 | 29.0 | 53.61 | 53.86 | ||||||||||||
| 312 | 312 | 2021 | Google Cloud | southamerica-east1 | Central Brazil | BR-CS | BRA | São Paulo | 0.78 | 0.0 | 129.0 | 170.18 | 169.95 | ||||||||||||
| 313 | 313 | 2021 | Google Cloud | southamerica-west1 | Chile | CL-SEN | CHL | Santiago | 0.69 | 0.0 | 190.0 | 405.23 | 405.64 | ||||||||||||
| 314 | 314 | 2021 | Google Cloud | us-central1 | MISO | US-MIDW-MISO | MISO_MASON_CITY | Iowa | 0.97 | 0.0 | 394.0 | 561.94 | 580.89 | ||||||||||||
| 315 | 315 | 2021 | Google Cloud | us-east1 | SC | US-CAR-SC | SC | South Carolina | 0.25 | 0.0 | 434.0 | 652.2 | 806.81 | ||||||||||||
| 316 | 316 | 2021 | Google Cloud | us-east4 | PJM | US-MIDA-PJM | PJM_DC | Northern Virginia | 0.64 | 0.0 | 309.0 | 441.45 | 442.26 | ||||||||||||
| 317 | 317 | 2021 | Google Cloud | us-east5 | PJM | US-MIDA-PJM | PJM_SOUTHWEST_OH | Columbus | 0.64 | 0.0 | 309.0 | 441.45 | 442.26 | ||||||||||||
| 318 | 318 | 2021 | Google Cloud | us-south1 | ERCOT | US-TEX-ERCO | ERCOT_NORTHCENTRAL | Dallas | 0.4 | 0.0 | 296.0 | 426.3 | 425.98 | ||||||||||||
| 319 | 319 | 2021 | Google Cloud | us-west1 | BPA | US-NW-BPAT | BPA | Oregon | 0.88 | 0.0 | 60.0 | 90.95 | 67.69 | ||||||||||||
| 320 | 320 | 2021 | Google Cloud | us-west2 | CAISO | US-CAL-CISO | LDWP | Los Angeles | 0.53 | 0.0 | 190.0 | 274.9 | 254.26 | ||||||||||||
| 321 | 321 | 2021 | Google Cloud | us-west3 | PACE | US-NW-PACE | PACE | Salt Lake City | 0.31 | 0.0 | 448.0 | 633.54 | 669.78 | ||||||||||||
| 322 | 322 | 2021 | Google Cloud | us-west4 | NVE | US-NW-NEVP | NEVP | Las Vegas | 0.21 | 0.0 | 365.0 | 498.72 | 537.76 |
Advanced export
JSON shape: default, array, newline-delimited
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 );